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Gartner’s $9.76T IT spending forecast: servers will outspend all IT services by 2030

Gartner IT spending forecast 2024 to 2030 rising from $5.04 trillion to $9.76 trillion, stacked by data center systems, software, IaaS, IT services, communications services and devices, with six KPI tiles
Gartner’s 3Q26 worldwide IT spending forecast by segment, 2024-2030, with six tiles on the numbers that matter most. Click any chart to open it full size. Source: Gartner (G00862058, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

Gartner’s latest IT spending forecast puts worldwide IT spending at $6.39 trillion in 2026 and $9.76 trillion by 2030. Spending grows 13.2% in 2026 in constant currency, or 14.5% in current dollars, and compounds at 11.2% a year from 2025 to 2030.

One subsegment drives that growth more than any other. Server spending grows from $386.5 billion in 2025 to $1.97 trillion in 2030. That $1.58 trillion gain is 38% of the $4.18 trillion the IT market adds over the period. By 2030, the world spends more on servers than on all IT services combined.

Gartner calls building AI compute capacity “the largest infrastructure build-out in history.” This edition makes the build-out bigger. Gartner raised its 2030 total by $816.8 billion from last quarter, and data center systems account for $794.9 billion of that increase.

I built this analysis from Gartner Market Databook, 3Q26 (G00862058), published September 25, 2026. Segment totals, growth rates and revisions come from the report. Subsegment and regional figures come from the 7,896-row dataset Gartner publishes with it, which covers 19 subsegments, nine regions and 47 countries. The shares, dollars added and comparisons are my calculations.

Servers take 38% of new IT spending

Gartner IT spending forecast line chart showing server spending rising from $0.23 trillion in 2024 to $1.97 trillion in 2030, passing all IT services at $1.93 trillion
Servers against all IT services, all software and communications services, 2024-2030. Growth labels in constant currency. Source: Gartner (G00862058), analysis by softwarestrategiesblog.com.

Server spending nearly doubles in 2026, up 84.4% in constant currency to $722.4 billion. It grows another 64.7% in 2027 to $1.19 trillion. After that the curve flattens: 26.8% in 2028, 16.0% in 2029 and 9.5% in 2030.

Even with the slowdown, servers reach $1.97 trillion in 2030, $45 billion more than the $1.93 trillion Gartner forecasts for all IT services. In 2025, IT services spending was nearly four times server spending.

Gartner explains why the numbers keep rising. Hyperscalers, sovereign AI initiatives and neocloud providers are all building next-generation data centers. Gartner says servers are increasingly viewed “as revenue-generating assets capable of monetizing AI workloads over many years,” not as ordinary hardware. Backed by hyperscaler capital spending, sovereign AI programs and private capital, AI infrastructure is becoming “both a technology platform and an investable asset class.”

The dataset does not separate AI-optimized servers from other servers, so I report the full server line. Gartner’s commentary leaves little doubt about where the growth comes from.

AI infrastructure and AI software take nearly half

Three subsegments map most directly to AI: servers, AI-optimized IaaS, and AI platforms and models. Together they add $1.96 trillion from 2025 to 2030, or 47% of all new IT spending.

AI-optimized IaaS grows fastest of all 19 subsegments, at a 55.3% CAGR. Spending more than doubles in 2026 and reaches $199.7 billion in 2030. AI platforms and models grow at a 42.8% CAGR, from $39.3 billion to $239.5 billion.

Traditional IaaS adds $287.4 billion at an 18.6% CAGR, so the cloud does not lose ground. Total IaaS reaches $687.7 billion in 2030.

Bar chart of 19 Gartner IT spending subsegments by dollars added from 2025 to 2030, led by servers at $1,584 billion
All 19 Gartner subsegments by dollars added from 2025 to 2030, with constant-currency CAGR and 2030 spending. Source: Gartner (G00862058), analysis by softwarestrategiesblog.com.

Servers add more than the next five subsegments combined. Infrastructure software, enterprise application software, traditional IaaS, vertical-specific software, and AI platforms and models add $1.52 trillion together. Servers alone add $1.58 trillion.

Segment 2025 2026 2030 2026 growth CAGR 2025-2030 Added 2025-2030 Share of new spending
Data center systems $505.5B $878.5B $2,157.6B 71.5% 32.6% +$1,652.1B 39.5%
Software $1,270.9B $1,464.5B $2,500.9B 14.1% 14.0% +$1,230.0B 29.4%
IaaS $222.2B $291.6B $687.7B 29.1% 24.6% +$465.5B 11.1%
IT services $1,491.6B $1,556.8B $1,925.6B 3.4% 4.6% +$434.0B 10.4%
Communications services $1,299.5B $1,352.5B $1,519.3B 2.6% 2.6% +$219.8B 5.3%
Devices $790.3B $847.2B $970.1B 5.9% 3.8% +$179.7B 4.3%
Total IT spending $5,580.0B $6,391.1B $9,761.2B 13.2% 11.2% +$4,181.2B 100%

Spending in current U.S. dollars. Growth rates and CAGRs in constant currency. Dollars added and shares calculated by Software Strategies Blog from Gartner’s 3Q26 dataset (G00862058).

Data center systems account for 97% of the revision

Gartner IT spending forecast revision versus 2Q26 by segment, 2026 to 2030, with data center systems up $795 billion in 2030
Change from Gartner’s 2Q26 forecast by segment, 2026-2030, in $ billions. Source: Gartner (G00862058, Table 2), analysis by softwarestrategiesblog.com.

The size of the revision shows how fast Gartner’s view of AI infrastructure is changing. Compared with the 2Q26 forecast published in June, data center systems rise $56.8 billion in 2026, $299 billion in 2027 and $794.9 billion in 2030. Their 2027 growth rate rises by 26.2 percentage points, to 55.1%.

Almost everything else moves sideways or down. Software is trimmed in every year, by $9.4 billion at most. IT services is cut every year, by $13.1 billion in 2026 and $24.4 billion in 2027, and Gartner slows its 2026 services growth by about half a percentage point. Gartner says enterprises are moving budgets toward AI infrastructure and software, so services revenue arrives more slowly.

Devices fall $20.8 billion in 2026. Gartner attributes that cut to “memflation.” Demand from data center systems has more than doubled memory prices over the past 12 months, and those costs are cascading into storage, servers, networking, PCs and other devices. Higher prices raise spending per unit but cut the number of units sold. Gartner expects the effect to last through 2027 before hardware prices start to normalize.

Four raises in a row for 2026

Gartner forecast for 2026 IT spending by edition, rising from $6.08 trillion in October 2025 to $6.39 trillion in September 2026
Gartner’s forecast for 2026 worldwide IT spending by edition. Earlier editions from Gartner press releases. Source: Gartner (G00862058 and earlier editions), analysis by softwarestrategiesblog.com.

This is the fourth straight increase in Gartner’s 2026 forecast. In October 2025, Gartner expected 2026 IT spending to reach $6.08 trillion. It raised that to $6.15 trillion in February, $6.31 trillion in April and $6.37 trillion in July. The 3Q26 databook puts 2026 at $6.39 trillion, about $310 billion above the October 2025 forecast.

The September increase for 2026 is small, at $22.6 billion. The big change is in the outer years: 2028 rises $548.5 billion and 2030 rises $816.8 billion. Gartner now expects the AI build-out to run longer, not just faster.

Agentic arbitrage puts $234 billion of app spending at risk

Gartner says software spending is broadly stable this quarter, but “a structural shift is emerging beneath the top-line numbers.” It calls the shift agentic arbitrage, which it says is often described as the “SaaSpocalypse.”

Gartner estimates that about $234 billion of enterprise application spending is exposed to agentic arbitrage through 2030. AI agents increasingly run workflows without using a software interface, which weakens seat-based licensing.

Separately, Gartner expects cross-functional agentic AI to consume $116 billion of application software spending by 2030. Enterprises would shift from buying separate applications to agentic platforms that orchestrate work across CRM, ERP, supply chain management and other systems. Gartner expects the near-term impact to be modest because of adoption and switching constraints. It expects the shift to speed up in the later years, favoring vendors that control orchestration, workflow execution and enterprise context.

The databook’s enterprise application software line reaches $795.4 billion in 2030. Gartner’s standalone application software forecast, which I analyzed earlier this month, puts the market at $812.6 billion, because the two reports use different scopes.

Where the money goes

North America adds $1.99 trillion from 2025 to 2030, or 48% of new IT spending. It also takes $885.1 billion, or 56%, of new server spending. China adds $372.0 billion in servers, or 24%, and Europe adds $161.8 billion.

Business buyers account for 92.5% of the increase. Consumer spending grows $312.9 billion over five years, and phones and connectivity make up $300.2 billion of that.

Two subsegments lose ground. External controller-based storage peaks at $42.3 billion in 2027 and falls to $39.8 billion by 2030. Unified communications declines 1.8% a year and is the only subsegment smaller in 2030 than in 2025.

Gartner also flags risks outside the market. It expects disruption around the Strait of Hormuz to continue into 2027, with energy prices more than 50% above pre-war levels. Gartner expects companies to change sourcing, vendors and regional exposure rather than cut overall IT spending. It also warns that inflation and higher interest rates could return, which would weaken business and consumer confidence.

What technology leaders should do

  • Budget for memflation now. Gartner expects memory-driven price increases on servers, storage, PCs and other devices to last through 2027. Lock in refresh pricing early or plan for fewer units per dollar.
  • Treat AI infrastructure capacity as a sourcing decision. AI-optimized IaaS grows at a 55.3% CAGR. Compare neocloud, hyperscaler and on-premises capacity on total cost, not list price.
  • Reprice seat-based software before renewals. Gartner’s $234 billion exposure estimate means agents will challenge per-user licensing. Ask vendors how pricing changes when agents do the work.
  • Expect services partners to change their pitch. IT services grows at 4.6% a year and is revised down every year. Providers will push AI implementation work to grow, so ask for outcome-based contracts.
  • Watch the outer years. Most of the $816.8 billion revision lands in 2028 to 2030. Server growth slows to 9.5% by 2030, so server growth peaks in 2026 and 2027.

Frequently asked questions

How much will the world spend on IT in 2026? Gartner forecasts $6.39 trillion, up 13.2% in constant currency and 14.5% in current dollars.

How much will the world spend on IT in 2030? Gartner forecasts $9.76 trillion, an 11.2% CAGR in constant currency from 2025.

Which segment grows fastest? Data center systems, at a 32.6% CAGR. Among subsegments, AI-optimized IaaS grows fastest at 55.3%.

How much of the growth comes from servers? Servers add $1.58 trillion from 2025 to 2030, or 38% of new IT spending.

What is memflation? Gartner’s term for memory price inflation driven by data center demand. Memory prices have more than doubled over the past 12 months, raising prices across hardware categories.

What is agentic arbitrage? Gartner’s term for AI agents running workflows without software user interfaces, which reduces reliance on seat-based licensing. Gartner estimates $234 billion of enterprise application spending is exposed through 2030.

How I built this analysis

Segment totals, growth rates, revisions and quotes come from Gartner Market Databook, 3Q26 (G00862058). Subsegment, regional and customer-type figures come from the dataset Gartner publishes with the report. I calculated constant-currency CAGRs from 2025 to 2030, dollars added from 2025 to 2030, and shares of new spending. Earlier 2026 forecast figures come from Gartner’s October 2025, February 2026, April 2026 and July 2026 press releases. Charts are my own work from that data.

Earlier analysis in this series:

This post is my personal analysis of Gartner’s research and does not represent my employer.

Sources

Gartner’s $953B IoT forecast puts 81% of spending in endpoints and the fastest growth in software

Gartner IoT market opportunity forecast 2024 to 2030 rising from $620.9 billion to $953.3 billion, stacked by endpoint electronics, communication services, services, infrastructure software, application software and security, with six KPI tiles for 2026 and 2030 totals, new spending, application software growth, 5G growth and the 2028 revision
IoT market opportunity reaches $953.3B by 2030, with endpoint electronics carrying 81% of it. Click any chart to open it full size. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

The new Gartner IoT forecast puts four out of every five dollars in devices, and the fastest growth in the software that runs them.

Published September 25, the forecast sizes the worldwide IoT market opportunity at $736.6 billion in 2026, up 9.6%, and $953.3 billion by 2030. That is a 7.2% compound annual growth rate from 2025 through 2030, landing just under $1 trillion.

Endpoint electronics account for $769.2 billion of the 2030 total, or 80.7%. Application software grows at 20.4% a year and infrastructure software at 14.8%. Together, the two software segments compound at 16.3%, 2.3 times the market.

The trillion-dollar mark also moved. Gartner’s previous edition, published in June 2024, put the 2028 market at $990.5 billion. The new edition puts 2028 at $850.3 billion, a $140.2 billion reduction, and does not cross $1 trillion before 2030.

I built this analysis from Gartner’s forecast report (G00858825) and the full detailed dataset behind it: 73,493 rows covering 6 technology segments, 28 subsegments, 12 sectors, 47 use cases, 9 regions and 7 years.

Each bar in the hero chart stacks Gartner’s six technology segments in current U.S. dollars. Navy is endpoint electronics, mid-blue is communication services, sky blue is services, teal is infrastructure software, purple is application software and red is security. Italic figures above each bar give year-over-year growth.

Six tiles underneath carry the 2026 and 2030 totals, the $281.0 billion in new spending between 2025 and 2030, the application software growth rate, the 5G growth rate and the 2028 revision against the 2024 edition.

Gartner IoT forecast puts 2026 at $736.6B and 2030 at $953.3B

Gartner sizes the market across six technology segments. Here is how each one moves from 2025 to 2030.

Segment 2025 2026 2030 2025-2030 CAGR 2030 share
Endpoint electronics $545.8B $600.7B $769.2B 7.1% 80.7%
Communication services $56.7B $58.8B $66.3B 3.2% 7.0%
Services $41.0B $43.9B $57.7B 7.1% 6.1%
Infrastructure software $19.9B $23.0B $39.7B 14.8% 4.2%
Application software $6.9B $8.3B $17.5B 20.4% 1.8%
Security $1.9B $2.1B $2.9B 8.6% 0.3%
Total $672.3B $736.6B $953.3B 7.2% 100%

Current U.S. dollars. CAGR and shares calculated by softwarestrategiesblog.com from Gartner’s dataset.

Growth peaks early. Gartner forecasts 9.6% in 2026 and 8.5% in 2027, then 6.4% in 2028, 6.1% in 2029 and 5.7% in 2030. Endpoint electronics drive the near-term numbers, growing 10.0% in 2026 and 8.7% in 2027 before slowing to 5.1% by 2030.

Software moves the other way. Application software growth rises from 20.2% in 2026 to 21.8% in 2030, and security growth climbs from 8.2% to 9.4%.

Endpoints add $223.4B, application software grows 2.8x faster

The market adds $281.0 billion between 2025 and 2030. Endpoint electronics capture $223.4 billion of it, or 79.5%.

The bubble chart below rebuilds Gartner’s own segment view from the dataset. The horizontal axis is growth rate, the vertical axis is dollars added, and bubble size is 2030 market opportunity.

Bubble chart of Gartner IoT technology segments comparing 2025 to 2030 CAGR with dollars added: endpoint electronics adds $223.4 billion at 7.1%, application software grows 20.4% and infrastructure software 14.8%
Segment CAGR versus dollars added, 2025 to 2030. Bubble size is 2030 market opportunity. Rebuilt from Gartner’s segment data. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

Application software grows 2.8 times faster than the market but adds only $10.6 billion. Infrastructure software adds $19.8 billion at 14.8%. Software’s share of IoT spending rises from 4.0% in 2025 to 6.0% in 2030.

Gartner ties the software growth to connecting devices with enterprise systems, predictive maintenance, operational optimization and digital twin projects that run on IoT platforms. Software, services and security together climb from 10.4% of spending in 2025 to 12.4% in 2030.

That is the strategic split in this forecast. Hardware sets the size of the market. Software, services and security decide who captures recurring value once the devices are installed.

Gartner cut $140.2B from its 2028 forecast

Gartner’s Table 2 compares this edition with the June 2024 edition, which ran through 2028. The new forecast is $113.8 billion lower for 2025 and $140.2 billion lower for 2028.

Gartner 2028 IoT forecast by segment, June 2024 edition versus September 2026 edition, showing the total cut from $990.5 billion to $850.3 billion, led by endpoint electronics and services
2028 IoT market opportunity, June 2024 edition versus September 2026 edition. Prior-edition values derived from Gartner’s Table 2. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

Endpoint electronics took the largest dollar cut, $102.6 billion in 2028. Its growth rates went up anyway: 8.9% to 10.0% in 2026, 7.0% to 8.7% in 2027 and 4.8% to 6.1% in 2028. A lower starting base, growing faster.

Services took the deepest percentage cut. The 2028 services forecast fell 37.6%, from $80.5 billion to $50.2 billion, with growth rates lowered 11 to 16 points in every year from 2025 through 2028.

Application software, infrastructure software and services all lost growth in the revision. Gartner says enterprise spending on software, security and services “is expected to develop more cautiously as organizations become more selective in scaling and expanding IoT environments.”

Security is the exception on dollars. Its 2028 forecast rose $665 million, or 37.3%, and Gartner lifted its 2028 growth rate from 6.7% to 8.6%.

Total 2028 growth moved up slightly, from 6.2% to 6.4%. The level is lower; the slope is about the same.

Automotive and manufacturing hold 55% of 2030 spending

Automotive is the largest IoT sector at $322.1 billion in 2030. Manufacturing and natural resources follows at $198.9 billion. Together they account for 54.6% of the 2030 market.

Gartner 2030 IoT market opportunity by sector, led by automotive at $322.1 billion and manufacturing and natural resources at $198.9 billion, with 2025 to 2030 CAGR for each sector
2030 IoT market opportunity by sector, with 2025 to 2030 CAGR and dollars added. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

Manufacturing is the growth story among the large sectors. It grows from $119.6 billion in 2025 to $198.9 billion in 2030, a 10.7% CAGR, adding $79.3 billion. Gartner expects it to grow 13.4% in 2026 and 15.0% in 2027.

Transportation reaches $109.8 billion at a 10.0% CAGR, with 16.0% growth in 2026 and 14.0% in 2027. Smart buildings, the fourth-largest sector at $107.2 billion, grows just 2.8% a year.

Inside manufacturing, software and services matter more than in the market overall. Application and infrastructure software reach $33.4 billion in the sector by 2030, 16.8% of its spending, compared with 6.0% for IoT overall. Services add another $32.3 billion.

Connected cars and factories add the most, EV charging grows fastest

Consumer connected cars remain the single largest use case, reaching $219.8 billion in 2030 and adding $58.3 billion. Manufacturing process automation adds $34.9 billion and air transport adds $28.8 billion.

Top 10 IoT use cases by dollars added from 2025 to 2030, led by consumer connected cars at $58.3 billion, and top 10 use cases by 2028 to 2030 CAGR, led by EV charging at 18.6%
Left: use cases adding the most dollars, 2025 to 2030. Right: fastest-growing use cases, 2028 to 2030 CAGR. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

Gartner names EV charging, manufacturing execution and management and connected products as the fastest-growing use cases from 2028 to 2030, at 18.6%, 12.0% and 11.3% CAGRs. The dataset also shows retail customer communication growing 12.9% over the same window, on a much larger $20.4 billion base.

Manufacturing execution and management is the standout among large use cases. It more than doubles, from $15.7 billion in 2025 to $32.8 billion in 2030, a 15.8% CAGR. Gartner attributes the growth to real-time control and optimization requirements on the factory floor.

Four use cases shrink. Connected lighting falls from $15.6 billion in 2025 to $7.5 billion in 2030. Automotive insurance declines from $6.4 billion to $4.3 billion, outdoor surveillance from $7.4 billion to $6.9 billion, and commercial automotive aftermarket from $2.1 billion to $1.5 billion.

5G grows 4.7x while 4G and below shrink

Communication services is the slowest-growing segment at 3.2% a year, but the mix inside it changes fast.

IoT communication services by connectivity type 2024 to 2030: 5G rises from $1.3 billion to $10.1 billion, satellite from $6.9 billion to $13.2 billion, while 4G and below falls to $38.5 billion
IoT communication services by connectivity type, 2024 to 2030. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

IoT 5G connectivity grows from $2.2 billion in 2025 to $10.1 billion in 2030, a 36.2% CAGR. Satellite grows from $7.8 billion to $13.2 billion at 11.0%. Cellular 4G and below, still the largest connectivity line, falls from $43.0 billion to $38.5 billion.

Gartner links connectivity to digital thread solutions that connect IT, OT and product life cycle data across the industrial value chain, the data foundation digital twins need.

Security is 0.3% of IoT spending

Gartner’s IoT security segment grows from $1.9 billion in 2025 to $2.9 billion in 2030. That is 0.3% of the 2030 market, against $769.2 billion in endpoints.

IoT software subsegments ranked by 2025 to 2030 CAGR, led by analytic platforms at 24.5% and security software at 21.2%, with Gartner's IoT security segment at 0.3% of 2030 spending
IoT software subsegments by 2025 to 2030 CAGR. Security software sits inside Gartner’s infrastructure software segment. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

Security software, which Gartner counts inside infrastructure software, is the second-fastest-growing software subsegment at 21.2% a year, reaching $7.4 billion. Add it to the security segment and IoT security reaches $10.3 billion by 2030, still 1.1% of the market.

Analytic platforms lead software growth at 24.5%, reaching $9.6 billion. Database management systems grow 19.2% to $10.0 billion. IoT platforms, the middleware layer Gartner credits with connecting devices to enterprise systems, grow 12.5% to $14.0 billion.

For security leaders, the gap is the point. Every connected robot, vehicle, meter and controller extends the OT attack surface, and spending to secure those endpoints grows at about a penny per dollar of IoT spend, even counted broadly. For the broader security market context, see Gartner’s $247.5B security forecast makes post-quantum firewall refreshes the only upgrade through 2030.

North America, China and Europe hold 75% of 2030 spending

North America is the largest region at $260.5 billion in 2030, followed by China at $229.9 billion and Europe at $224.2 billion. Together they hold 74.9% of the market.

Gartner 2030 IoT market opportunity by region: North America $260.5 billion, China $229.9 billion and Europe $224.2 billion, with Emerging Asia Pacific growing fastest at 14.7% CAGR
2030 IoT market opportunity by region, with 2025 to 2030 CAGR and share. Source: Gartner (G00858825, Sept. 25, 2026), analysis by softwarestrategiesblog.com.

North America grows slowest of the three, at 5.8% a year. Emerging Asia Pacific grows fastest, at 14.7%, reaching $53.0 billion. Sub-Saharan Africa grows 12.9% and Latin America 11.9%, both from small bases.

Gartner’s report also flags the war in the Middle East. It expects disruptions to the Strait of Hormuz to continue into 2027, with energy prices more than 50% above pre-war levels. Gartner expects the main near-term impact on IT spending to be a rebalancing of sourcing, vendor relationships and regional exposure rather than a material spending reduction.

A reading note on Gartner’s Table 2

The growth-rate columns in Gartner’s Table 2 are labeled 2025 GR, 2027 GR, 2028 GR and 2029 & 2030 GR. The values line up with 2025, 2026, 2027 and 2028.

The endpoint electronics changes of 1.1, 1.7 and 1.3 points match the revisions Gartner describes in its text for 2026, 2027 and 2028. I read the table that way throughout this analysis.

Gartner’s text also says the highest growth by 2030 comes from communications, media and services and transportation. In the dataset, communications, media and services is a $1.8 billion sector growing 11.0% a year, and transportation’s 10.0% CAGR trails manufacturing’s 10.7%.

What technology leaders should do with this forecast

  • Plan for AI-ready endpoints. Gartner credits endpoint growth to connected products, connected vehicles and AI-ready, edge-intelligent devices, including robots and industrial equipment. Device refresh plans should assume edge inference.
  • Budget for the software layer, not just devices. Software grows 16.3% a year against 7.1% for endpoints. Integration, analytics and IoT platforms are where projects stall or pay off.
  • Close the security gap early. IoT security, even counted broadly, is 1.1% of 2030 spending. Asset discovery, identity, segmentation and secure updates belong in the IoT business case.
  • Retire 4G-dependent fleets on a schedule. 4G and below shrinks every year from 2026 while 5G grows 36.2% a year.
  • Treat manufacturing execution as the growth zone. At 15.8% a year, it is the fastest-growing large use case in the forecast.

Frequently asked questions

How big is the IoT market according to Gartner? Gartner forecasts worldwide IoT market opportunity of $736.6 billion in 2026 and $953.3 billion in 2030, a 7.2% CAGR from 2025.

Which IoT segment is largest? Endpoint electronics, at $769.2 billion in 2030, or 80.7% of the market.

Which IoT segment grows fastest? Application software, at a 20.4% CAGR from 2025 to 2030, reaching $17.5 billion.

Did Gartner lower its IoT forecast? Yes. The 2028 forecast fell from $990.5 billion in the June 2024 edition to $850.3 billion, a $140.2 billion reduction, while 2028 growth edged up from 6.2% to 6.4%.

How fast is IoT 5G growing? IoT 5G connectivity grows at a 36.2% CAGR, from $2.2 billion in 2025 to $10.1 billion in 2030.

How I built this analysis

All market sizes are Gartner IoT market opportunity in current U.S. dollars from the detailed dataset behind G00858825, which reconciles to Gartner’s Table 1 totals. Growth rates for years and segments match Gartner’s published figures.

CAGRs for sectors, regions, subsegments and use cases, dollar additions, shares and the combined IoT security figure are my calculations. June 2024 edition values are derived by subtracting Gartner’s Table 2 dollar changes from the new forecast.

Earlier analysis in this series:

This post is my personal analysis of Gartner’s IoT research and does not represent my employer.

Sources

Gartner says frontier AI makes patch speed a vanity metric. Tolerable exposure time replaces it.

Gartner frontier AI vulnerability management hero chart showing 2026 and 2030 spending on managed security operations, vulnerability assessment, threat intelligence and network detection and response, with six tiles summarizing Gartner's findings on exploit timing, patch metrics, testing bottlenecks, actions, regulator deadlines and the 2026 trends
Gartner says frontier AI turns patch speed into a vanity metric. Spending bars show the exposure-focused categories in Gartner’s 3Q26 security forecast. Click any chart to open it full size. Sources: Gartner (G00859901, Aug. 6, 2026; G00862059, Sept. 24, 2026), analysis by softwarestrategiesblog.com.

Gartner’s new research on frontier AI vulnerability management says the patch-speed metric most security teams report to their boards no longer measures anything useful.

Gartner analysts Rob McMillan and Alex Michaels put it bluntly in a research note published August 6: “Measuring ‘how fast we patch’ is a vanity metric; the only metric that matters now is ‘tolerable exposure time.'”

The note covers one of Gartner’s nine top cybersecurity trends for 2026: frontier AI models transforming vulnerability management. Its central argument runs against most vendor messaging. The real shock from frontier AI is not faster attackers. It is the volume of vulnerabilities that vendors and open-source projects will now find in their own code, and the flood of urgent updates that follows.

Gartner calls it a supply side shock, one that “permanently breaks traditional volume-based patching processes.”

I built this analysis from Gartner’s research note (G00859901) and paired it with category data from Gartner’s 3Q26 information security forecast (G00862059), which sizes the markets security teams will buy from as they shift to exposure management.

The bars in the hero chart show 2026 and 2030 end-user spending for four exposure-focused categories. Six tiles underneath summarize the note’s core findings.

Why frontier AI breaks volume-based vulnerability management

Gartner is direct about where the pressure comes from. Frontier models can compress attacker cycle times by automating reconnaissance and payload iteration, the analysts write, but “attackers have historically always been faster than defenders.”

The change is on the supply side. As vendors and open-source projects use AI to uncover latent flaws, organizations “will face a greatly heightened volume of urgent security updates.” The note expects those updates to arrive in multiple waves, timed in large part to when new security-focused frontier models become available to IT suppliers.

The exploit window is shrinking at the same time. Gartner says the gap between vulnerability disclosure and active exploitation “has collapsed to minutes because AI models can autonomously reverse-engineer patches into exploits.”

Gartner’s four core insights:

  • Traditional vulnerability management was already misaligned with attacker timelines before AI. Without change, the gap is now unbridgeable.
  • Mandates to “patch everything faster” move risk from successful attacks to operational outages and increase self-inflicted downtime.
  • The bottleneck is testing and change management, not patching capacity. Each wave of AI-discovered vulnerabilities adds complexity and strains resources.
  • Regulatory pressure for rapid patching can conflict with operational reality. Storytelling about real business impact becomes a necessary skill.

“Patch everything faster” moves the risk, it doesn’t remove it

The note treats blanket speed mandates as a risk transfer. Unrealistic demands to patch everything immediately “merely transfer the risk from malicious actors to insufficient IT testing, increasing the likelihood of self-inflicted downtime.”

Gartner frames enterprise risk management as an explicit choice between breach risk and outage risk. The CISO, infrastructure and operations leaders and other stakeholders need business leaders to formally accept the relative risks of patching-related downtime against attack-related downtime.

Faster patching still helps at the margins. The note says the gains are capped by maintenance windows, the need for bespoke fixes in complex software stacks and other constraints.

From volume SLAs to exposure SLAs

Gartner’s replacement is a shift from volume-based patching service-level agreements to exposure-based ones.

Comparison of the volume-based patching model with Gartner's exposure-based model across metric, prioritization, accountability, blocked patches, operating model and hard cases
What Gartner says breaks under AI-accelerated vulnerability discovery, and what replaces it. Source: Gartner (G00859901, Aug. 6, 2026), layout by softwarestrategiesblog.com.

Static vulnerability characteristics, including CVSS scores and scanning results, are “still necessary, but it is no longer sufficient for prioritization of remedies,” the note says. Prioritization must rest on real exploitability and business context.

Gartner wants the most urgent vulnerabilities, “not necessarily the highest impact,” first in the queue, and mitigated within the organization’s maximum tolerable exposure time.

Accountability moves too. Product and platform teams are held to their exposure limits, with the flexibility to use virtual patching or network isolation when change management blocks an immediate code fix.

CTEM becomes the operating model

Gartner tells organizations to abandon volume-based patching and adopt continuous threat exposure management, or CTEM. Its five stages run from scoping and discovery through prioritization, validation and mobilization.

Gartner continuous threat exposure management cycle with five stages, scoping, discovery, prioritization, validation and mobilization, and how frontier AI changes each stage
Gartner’s CTEM cycle with stage notes drawn from the frontier AI research note. Source: Gartner (G00859901, Aug. 6, 2026), analysis by softwarestrategiesblog.com.

The note warns that “a failure to shift to a CTEM approach will result in continued patch deferral and therefore a slow but continuing escalation in risk profile.” Update complexity, and the time and collaboration needed to remediate, is likely to rise with each wave.

Gartner’s broader information security forecast points the same direction. Its 3Q26 report expects organizations to shift from reactive defense toward CTEM, with AI assistants automating event triage, false-positive reduction and code remediation.

The spending signal in Gartner’s security forecast

The categories that support exposure-based prioritization grow faster than the security market overall. Gartner’s 3Q26 forecast puts total information security spending at $247.5 billion in 2026 and $372.8 billion by 2030, a 10.8% CAGR in constant currency from 2025.

Category 2026 2030 2025-2030 CAGR
Threat intelligence $3.1B $6.1B 19.0%
Network detection and response $2.6B $4.1B 12.4%
Vulnerability assessment $4.1B $6.4B 12.0%
Managed security operations $15.6B $22.7B +$7.0B added
Total information security $247.5B $372.8B 10.8%

End-user spending in current U.S. dollars; CAGRs in constant currency. Source: Gartner G00862059 (September 2026).

Threat intelligence, the data CTEM uses to judge real-world exploitability, nearly doubles by 2030. Managed security operations adds $7.0 billion, the largest dollar gain among security services. I covered the full forecast in Gartner’s $247.5B security forecast makes post-quantum firewall refreshes the only upgrade through 2030.

Technical debt can’t wait for “later”

The note uses the AI-driven update surge to force a decision most organizations defer. Technical debt “generally falls into the ‘we will take care of it later’ bucket,” the analysts write. “‘Later’ must be ‘now.'”

CISOs guide the prioritization. CIOs, enterprise architecture and I&O teams have to execute the remediation in the short to medium term. Technical debt also appears separately in Gartner’s 2026 trends list, where it undermines organizational AI ambitions.

Use agentic application security testing selectively

Gartner recommends agentic application security testing, or AAST, for mission-critical applications. AAST can uncover business-logic vulnerabilities and multistep exploits by using context windows to reason through application logic.

The note pairs its reachability analysis, vulnerability prioritization and automated code remediation as the way to keep pace with AI-driven discovery volume.

There is a budget catch. Token consumption “is likely to drive an increase in application security budgets that many organizations will struggle to absorb under current assumptions.” Gartner’s advice is to use AAST selectively now and plan for the budget impact later.

Regulators want counts, CISOs need a story

Gartner says regulators, including the ECB and ESRB, already demand mitigation plans for systemic cyber risks caused by AI. One Gartner client reported pressure from a regulator to address a set number of vulnerabilities within 30 days.

The analysts read that as regulators not always understanding that a more surgical approach is sometimes needed “in order that one problem isn’t substituted for a worse problem.” In the short term, organizations may have to comply with both approaches in parallel.

Gartner expects regulation of AI in critical business processes to tighten. Third-party contracts will likely need vendors to disclose AI model usage and set contingencies for provider outages. Some frontier models may also face export controls or tighter access restrictions. The note cites Anthropic’s Fable 5 and Mythos 5 in 2026 as examples and advises building model-independent roadmaps.

Board talking points Gartner gives CISOs

Gartner’s Figure 1 gives CISOs three talking points for boards worried about Mythos, Daybreak and frontier AI risk:

  • Foundational controls. Threat actors must still chain attacks. Core controls still provide adequate protection against advanced threats.
  • Prioritization. A vulnerability does not equal exploitability. Environmental constraints, required privileges and mitigating controls make many flaws impractical to exploit.
  • Accelerator. Defensive AI scales the defender’s advantage through automated code analysis, threat intelligence and incident response.

The strategic shift, in Gartner’s words, is from asking “how fast do we patch?” to asking “what is our tolerance for remaining exposed to a known vulnerability?”

Where this sits in Gartner’s 2026 trends

Gartner groups its top cybersecurity trends for 2026 into three themes: secure new frontiers, transform governance and normalize AI adoption. Frontier AI and vulnerability management sits under normalizing AI adoption, alongside AI-driven SOC solutions and the breakdown of traditional security awareness tactics.

Gartner's nine top cybersecurity trends for 2026 grouped into secure new frontiers, transform governance and normalize AI adoption, with frontier AI vulnerability management highlighted
Gartner’s top cybersecurity trends for 2026 by theme. Source: Gartner (G00859901, Aug. 6, 2026), layout by softwarestrategiesblog.com.

What security leaders should do now

  • Retire volume-based patch SLAs. Replace them with exposure-based SLAs tied to maximum tolerable exposure time, and adopt CTEM.
  • Get formal risk acceptance. Have business leaders sign off on the tradeoff between patch-related downtime and attack-related downtime.
  • Fund testing and change management. That is the bottleneck Gartner identifies, not patch deployment.
  • Pay down technical debt now. Each AI-driven update wave makes legacy remediation harder.
  • Pilot AAST on mission-critical apps. Budget for token costs before scaling it.
  • Build model-independent AI roadmaps. Plan for export controls, access limits and provider outages.

Frequently asked questions

What does Gartner say about frontier AI and vulnerability management? Gartner says frontier AI is driving an unprecedented volume of vulnerability discoveries that makes volume-driven patching obsolete. It recommends exposure-based SLAs and continuous threat exposure management.

What is tolerable exposure time? Gartner defines the meaningful metric as how long critical vulnerabilities remain unmitigated, measured against the organization’s maximum tolerable exposure time.

Why not just patch faster? Gartner says blanket faster-patching mandates shift risk from attacks to self-inflicted outages, because testing and change management are the real bottleneck.

What is AAST? Agentic application security testing uses AI agents to find business-logic flaws and multistep exploits. Gartner recommends using it selectively because token consumption raises application security costs.

How I built this analysis

Quotes and recommendations come from Gartner’s research note G00859901, published August 6, 2026, as part of its Top Trends in Cybersecurity, 2H26 research. Category spending and CAGRs come from Gartner’s 3Q26 information security forecast (G00862059). The pairing of the two documents, the comparison table and the CTEM stage notes are my analysis.

Related analysis on this site:

This post is my personal analysis of Gartner’s research and does not represent my employer.

Sources

Gartner’s $812.6B app software forecast sends 38% of new spending to CRM as agentic AI targets $116B of legacy apps

Gartner enterprise application software forecast 2024 to 2030 rising from $384.8 billion to $812.6 billion, stacked by CRM, ERP, other application software, email and authoring, analytic platforms, supply chain management, content services and project and portfolio management, with six KPI tiles
Gartner’s 3Q26 enterprise application software forecast by market, 2024-2030, with six tiles on the numbers that matter most. Click any chart to open it full size. Source: Gartner (G00862072, Sept. 22, 2026), analysis by softwarestrategiesblog.com.

Enterprise application software spending reaches $496.3 billion in 2026 and $812.6 billion by 2030, according to the latest Gartner application software forecast. That is a 12.8% compound annual growth rate in constant currency, revised up from 12.7% last quarter.

The headline growth rate hides a sharper story. CRM alone captures $119.2 billion, or 38%, of the $316.2 billion the market adds between 2026 and 2030. In the same report, Gartner says cross-functional agentic AI will cannibalize $116 billion from traditional application software spending by 2030.

Those two numbers are close in size, and they point to the same conclusion. Most of the new money in application software goes to the markets where agentic AI is proving value first. Legacy suites that do not embed agents compete for a shrinking slice.

I built this analysis from Gartner’s Forecast: Enterprise Application Software, Worldwide, 2024-2030, 3Q26 (G00862072), published September 22, 2026. All market, subsegment and regional figures come from the 7,567-row dataset Gartner publishes with the report. The shares, dollars added and comparisons are my calculations.

Agentic AI is the growth engine and the threat

Gartner says cumulative spending between 2026 and 2030 will exceed $3.2 trillion, “fueled by the transition from Generative AI to Agentic AI.” The dataset totals $3,227 billion over those five years.

Gartner expects business leaders to favor applications with embedded agentic capabilities, and vendors to compete on how much functionality they deliver through agents. It warns that “legacy offerings risk rapid obsolescence.”

Early value is already showing up in three segments, according to Gartner: CRM, analytics and human capital management (HCM). Adoption starts inside functional silos such as marketing, sales and customer service, where use cases are maturing. Cross-functional integration follows once use cases prove out, the technology matures and enterprises build trust.

That second phase is where the $116 billion comes from. Gartner covers it in a separate report, Spending on Cross-Functional Agentic AI Will Cannibalize $116 Billion of Spending From Application Software Markets by 2030.

CRM takes the largest share of new spending

Bubble chart of eight enterprise application software markets comparing 2025 to 2030 CAGR with dollars added from 2026 to 2030, led by CRM adding $119.2 billion and analytic platforms growing 14.5%
Each market’s 2025-2030 CAGR against dollars added from 2026 to 2030. Bubble size shows 2030 spending. Source: Gartner (G00862072), analysis by softwarestrategiesblog.com.

CRM grows from $170.5 billion in 2026 to $289.8 billion in 2030 at a 13.8% CAGR. Its share of the total market rises from 34.4% to 35.7%.

Analytic platforms post the fastest market-level growth at 14.5%, reaching $73.8 billion. Email and authoring grows 13.6% to $77.2 billion, and supply chain management grows 13.2% to $71.5 billion. All three beat the market average.

ERP, other application software, content services and project and portfolio management all grow below 12%. Together they still add $106.5 billion, but each loses share.

Market 2025 2026 2030 CAGR 2025-2030 Added 2026-2030 Share of new spending
CRM $149.1B $170.5B $289.8B 13.8% +$119.2B 37.7%
ERP $73.5B $83.0B $130.9B 11.6% +$47.9B 15.1%
Other application software $74.6B $83.5B $128.6B 10.9% +$45.1B 14.3%
Analytic platforms $36.7B $42.3B $73.8B 14.5% +$31.5B 9.9%
Email and authoring $40.1B $47.0B $77.2B 13.6% +$30.3B 9.6%
Supply chain management $37.6B $42.8B $71.5B 13.2% +$28.7B 9.1%
Content services $18.9B $21.3B $31.9B 10.5% +$10.6B 3.4%
Project and portfolio management $5.3B $5.9B $8.8B 10.2% +$2.9B 0.9%
Total $435.8B $496.3B $812.6B 12.8% +$316.2B 100%

Spending in current U.S. dollars. CAGRs in constant currency. Dollars added and shares calculated by Software Strategies Blog from Gartner’s 3Q26 dataset (G00862072).

Cross-CRM and decision intelligence lead 23 subsegments

All 23 enterprise application software subsegments ranked by 2025 to 2030 CAGR, led by decision intelligence platforms at 20.8% and cross-CRM at 18.9%, with core manufacturing and operations management slowest at 6.7%
All 23 subsegments ranked by 2025-2030 CAGR in constant currency, with 2030 spending. Colors mark the parent market. Source: Gartner (G00862072), analysis by softwarestrategiesblog.com.

Decision intelligence platforms grow fastest, at 20.8%, and more than double from $2.7 billion in 2026 to $5.7 billion in 2030. The subsegment is small, but it sits closest to the agentic pattern Gartner describes: software that recommends or takes decisions rather than reporting on them.

Cross-CRM is the more important signal. It grows 18.9% a year and doubles from $27.5 billion to $55.7 billion. That is $28.1 billion of new spending, or 24% of CRM’s total gain. Cross-CRM is the closest thing in this dataset to the cross-functional integration Gartner expects agentic AI to drive.

Customer service and support remains the largest CRM subsegment, reaching $89.7 billion at 13.1%. Marketing reaches $68.1 billion at 12.8%. Sales grows slowest inside CRM, at 11.8%, to $50.2 billion.

Analytics and BI platforms grow 15.0% to $49.4 billion. Within supply chain management, orchestration platforms (14.3%) and procurement (14.2%) lead.

HCM carries ERP

ERP is the market where the subsegment split matters most. HCM grows 13.5% and reaches $78.5 billion by 2030, 60% of all ERP spending. It accounts for $31.7 billion, or 66%, of ERP’s $47.9 billion gain.

The rest of ERP grows slowly. Financial management systems components grow 9.7% to $41.8 billion. Enterprise asset management grows 8.0% to $4.6 billion. Core manufacturing and operations management grows 6.7% to $6.0 billion, the slowest of all 23 subsegments.

That fits Gartner’s list of where early agentic value is showing up. HCM made the list. Finance, asset management and manufacturing operations did not.

North America takes 57% of new spending

2030 enterprise application software spending by region, led by North America at $461.9 billion and 56.8% share, with Emerging Asia Pacific growing fastest at 19.2% CAGR
2030 spending by region with 2025-2030 CAGR and share of the global market. Source: Gartner (G00862072), analysis by softwarestrategiesblog.com.

North America reaches $461.9 billion in 2030, 56.8% of worldwide spending, and grows 13.1% a year. It captures $180.9 billion, or 57.2%, of the market’s new spending.

Europe grows 10.2%, the slowest of any region, and its share drops from 23.3% in 2026 to 22.0% in 2030.

The fastest growth is in Asia. Emerging Asia/Pacific grows 19.2% to $25.9 billion, and China grows 17.1% to $37.3 billion. Together they add $30.7 billion and lift their combined share from 6.6% to 7.8%.

What changed in the Gartner application software forecast

Change in 2030 enterprise application software spending in Gartner's 3Q26 forecast versus 2Q26 by market, led by content services up $1.734 billion and email and authoring up $1.719 billion
Change in 2030 spending by market vs. Gartner’s 2Q26 forecast. Dollar changes include exchange-rate effects. Source: Gartner (G00862072, Table 2), analysis by softwarestrategiesblog.com.

Gartner revised growth for only two markets. Email and authoring rose 0.5 to 0.6 percentage points a year. Content services rose 0.2 to 2.0 points a year, including 1.4 points in 2026. Gartner says growth trajectories for every other market are unchanged.

In U.S. dollars, the total forecast is $657 million lower for 2026 and $2.5 billion lower for 2027 than in 2Q26, then $3.3 billion higher by 2030. The 2030 gains are concentrated in content services (+$1.73 billion) and email and authoring (+$1.72 billion). Exchange rates explain the remaining dollar movement in markets where growth rates did not change.

Gartner also repeats a note on the war in the Middle East. It expects disruption to the Strait of Hormuz to continue into 2027 and energy prices to stay more than 50% above pre-war levels. Gartner expects the main near-term IT spending impact to be a rebalancing of sourcing strategies, vendor relationships and regional exposure, not a material reduction in spending.

A reading note

Gartner reports growth in constant currency, using 2024 exchange rates as the base. Market sizes are in current U.S. dollars, so 2026 spending rises 13.9% in dollars but 12.7% in constant currency. I use constant-currency CAGRs throughout and dollar values for sizes, dollars added and shares.

The $116 billion cannibalization figure comes from a separate Gartner report cited in this forecast. I compare it with CRM’s dollar gain to show scale, not to suggest that one offsets the other.

What software leaders should do

  • Follow the dollars, not the CAGR. CRM, ERP and other application software account for 67% of new spending. Analytics grows faster but adds less than a third as much as CRM.
  • Treat cross-CRM as the agentic beachhead. It doubles to $55.7 billion and sits where Gartner expects cross-functional agents to spread first.
  • Separate HCM from the rest of ERP. HCM delivers two-thirds of ERP’s growth. Finance, asset management and manufacturing operations vendors need an agentic story to avoid sliding below 10% growth.
  • Plan for cannibalization inside your own portfolio. Gartner’s $116 billion estimate means agentic AI will replace spending as well as add to it.
  • Weight go-to-market toward North America and fast-growing Asia. North America takes 57% of the gain. Emerging Asia/Pacific and China grow fastest. Europe grows slowest.

Frequently asked questions

How large is the enterprise application software market in 2026? Gartner forecasts $496.3 billion in end-user spending in 2026, up 12.7% in constant currency.

How large will it be in 2030? Gartner forecasts $812.6 billion in 2030, a 12.8% CAGR in constant currency from 2025 to 2030.

Which market is largest? CRM, at $289.8 billion in 2030, or 35.7% of the total.

Which segment grows fastest? Decision intelligence platforms, at a 20.8% CAGR. Among the eight markets, analytic platforms grow fastest at 14.5%.

How will agentic AI affect application software spending? Gartner says agentic AI drives growth, with early value in CRM, analytics and HCM. It also says cross-functional agentic AI will cannibalize $116 billion from traditional application software spending by 2030.

How I built this analysis

Market totals, growth revisions and quotes come from Gartner’s 3Q26 enterprise application software forecast (G00862072). Subsegment and regional figures come from the dataset Gartner publishes with the report, which covers eight markets, 23 subsegments, nine regions and 2024 to 2030. I calculated constant-currency CAGRs from 2025 to 2030, dollars added from 2026 to 2030, and market and regional shares. Charts are my own work from that data.

Earlier analysis in this series:

This post is my personal analysis of Gartner’s research and does not represent my employer.

Sources

Gartner’s $247.5B security forecast makes post-quantum firewall refreshes the only upgrade through 2030

Gartner information security forecast 2024 to 2030 showing spending rising from $192.9 billion to $372.8 billion by software, services, network and consumer security, with six KPI tiles below the chart for 2026 and 2030 totals, new spending, the firewall revision, 2027 firewall growth and securing AI
Security spending climbs to $372.8B by 2030, and post-quantum firewall refreshes drew the only upgrade. Click any chart to open it full size. Source: Gartner (G00862059, Sept. 24, 2026), analysis by softwarestrategiesblog.com.

The 3Q26 Gartner information security forecast raised exactly one growth rate.

Gartner now projects firewall equipment spending to grow 13.4% in 2027 in constant currency, up from the 7.8% in its June forecast. Network security equipment overall rises to 12.8% from 8.7%. Post-quantum cryptography (PQC) is the cause. Many installed firewalls can’t run the new algorithms, which forces early replacement.

Every other business category in the 41-category forecast kept the constant-currency outlook it had 91 days earlier.

Published September 24, the forecast puts worldwide end-user spending at $247.5 billion in 2026, up 13.6% in current U.S. dollars and 12.7% in constant currency.

Spending reaches $372.8 billion by 2030. Gartner frames that as $373 billion and a 10.8% compound annual growth rate in constant currency from 2025 through 2030.

I built this analysis from Gartner’s 3Q26 report (G00862059), the full detailed dataset of 13,489 rows covering 47 countries, 9 regions, 41 categories and 7 years, and a line-by-line comparison against the 2Q26 file Gartner released in June (G00855892).

For the 2Q26 update that first counted securing AI inside the forecast, see Gartner’s $248.2B security forecast makes securing AI the only segment accelerating through 2030.

Each bar in the hero chart stacks four parts of Gartner’s forecast in current U.S. dollars. Navy is business security software, mid-blue is security services, sky blue is network security and light blue is consumer security software. Bold figures above the bars give each year’s total, with Gartner’s constant-currency growth rate in italics.

Six tiles underneath carry the 2026 and 2030 totals, the $125.4 billion in new spending between 2026 and 2030, the 2030 firewall revision in constant currency, the change in Gartner’s 2027 firewall growth forecast and the securing AI trajectory.

Both the 56% software share and the $80.5 billion software tile include consumer security software.

Gartner information security forecast puts 2026 at $247.5B and 2030 at $372.8B

Gartner splits the market into security software, security services and network security. Software keeps gaining share in every year of the forecast.

Each column in the chart below adds to 100% of total spending. Navy is security software, including consumer. Mid-blue is security services and sky blue is network security.

A panel on the right lists each market’s 2024 and 2030 spending and share. I calculated the shares from Gartner’s current-dollar figures.

Security software share rising from 49.6% in 2024 to 55.6% in 2030 while services fall from 39.3% to 33.6%
Share of worldwide information security spending by market, 2024 to 2030, current U.S. dollars. Data from Gartner G00862059 (September 2026). Shares calculated by softwarestrategiesblog.com.

Total market 2026. $247.5 billion, up $29.7 billion from $217.7 billion in 2025.

Security software 2026. $126.9 billion including $9.0 billion of consumer security software. Software reaches $207.4 billion by 2030, 55.6% of all spending, up from 49.6% in 2024.

Security services 2026. $93.5 billion. Services reach $125.4 billion by 2030, but their share falls from 39.3% in 2024 to 33.6%. Constant-currency CAGR is 7.5%, the slowest of the three markets.

Network security 2026. $27.0 billion, growing 15.0% in constant currency. It reaches $40.0 billion by 2030. Gartner raised the 2025 to 2030 CAGR for this market to 10.9%, up from 9.8% in 2Q26.

2026 to 2030 net new spending. $125.4 billion. Security software captures $80.5 billion of it, or 64%. Services add $31.9 billion. Network security adds $13.0 billion.

Gartner’s near-term call is unchanged from June. Growth slows to 11.2% in 2027 in constant currency, then decelerates to 9.6% by 2030.

Gartner names security service edge (SSE), cloud-native application protection platforms (CNAPPs), cloud security posture management, cloud access security brokers, web application firewalls, encryption and enterprise data loss prevention as the areas where 2027 budgets will grow.

It also expects AI trust, risk and security management (AI TRiSM) adoption to rise as generative AI use widens data, application and governance risk.

Post-quantum firewall refreshes drew the only growth upgrade

Gartner’s revision table compares 3Q26 against 2Q26 for all 11 subsegments. Ten of them show 0.0% growth-rate change in every year from 2026 through 2030. Network security equipment is the exception, at +4.1 points in 2027, +1.1 in 2028, +0.4 in 2029 and -0.2 in 2030.

I ran the same comparison across all 41 categories in the detailed files. In constant currency, firewall equipment is the only category Gartner raised.

It gains $1.08 billion in 2027, $1.50 billion in 2028, $1.77 billion in 2029 and $1.84 billion in 2030. The other 40 categories, including consumer security software, match the June file to the dollar in constant currency.

In the chart below, each bar is the firewall equipment increase in constant currency. Because no other category moved, the bars are also the net change for the whole market. The total is unchanged in 2025 and 2026 and turns positive in 2027, when the firewall upgrade starts.

Gartner 3Q26 versus 2Q26 information security forecast revisions in constant currency, showing firewall equipment as the only category raised, by $1.08 billion in 2027 rising to $1.84 billion in 2030, with all other 40 categories unchanged
3Q26 vs. 2Q26 revisions by year in constant currency. Firewall equipment is the only category Gartner raised; the other 40 are unchanged. Data from Gartner G00862059 and G00855892. Revision math by softwarestrategiesblog.com.

Gartner states the cause directly. “Postquantum cryptography (PQC) requirements will drive premature hardware refreshes, initially among government, financial and defense organizations, due to the inability of many existing firewalls to support the processing demands and crypto-agility required through software or firmware updates,” the report says.

Gartner’s timing is specific. The report says “selected products may support algorithms such as FIPS 203/ML-KEM by late 2026.” Broader vendor availability follows in 2027. By 2028, Gartner expects every major firewall vendor to offer PQC-capable platforms.

Gartner expects at least 20% of customers in government, financial services and defense to upgrade in 2027, rising to more than 30% in 2028.

Firewall equipment growth in 2027 raised to 13.4% from 7.8% in Gartner's 2Q26 forecast
Firewall equipment spending and year-over-year growth, 2Q26 vs. 3Q26 forecasts, constant currency. Data from Gartner G00862059 and G00855892. Chart by softwarestrategiesblog.com.

In the top panel, the chart compares firewall equipment spending in Gartner’s 2Q26 forecast (light blue) with 3Q26 (sky blue), in constant currency. Revised values carry dark-blue labels and the 2027 and 2030 increases are marked above the bars.

Year-over-year growth sits in the bottom panel, with June’s forecast dashed and September’s solid. Both lines match through 2026, split in 2027 and converge by 2030.

That shift shows up in one year. In June, Gartner expected firewall equipment growth to fall from 16.1% in 2026 to 7.8% in 2027. Now 2027 growth holds at 13.4%.

Gartner’s revision lifts the 2027 firewall market from $20.8 billion to $21.9 billion in constant currency, and the 2030 market from $25.7 billion to $27.6 billion.

In current dollars firewall equipment reaches $28.6 billion by 2030, still the largest network security category by a wide margin.

Every region gets the upgrade at nearly the same rate. Each region’s 2030 firewall forecast rose between 6.9% and 7.8%. North America takes $834 million of the $1.84 billion. Europe takes $414 million. Together they account for 68%.

Each bar in the next chart is one region’s 2030 firewall revision in constant currency. The label shows the dollar increase, that region’s share of the $1.84 billion total and its revised 2030 firewall market. Sky-blue bars mark North America and Europe. Lighter bars are the other seven regions.

2030 firewall revision by region with North America adding $834 million and Europe $414 million
2030 firewall equipment revision by region, 3Q26 vs. 2Q26, constant currency. Data from Gartner G00862059 and G00855892. Revision math by softwarestrategiesblog.com.

Why a firmware update will not close the gap

Gartner’s argument rests on hardware. Many installed firewalls cannot meet PQC processing and crypto-agility demands through software or firmware updates. The engineering behind that is straightforward. ML-KEM public keys and ciphertexts are larger than the elliptic-curve exchanges they replace, and hybrid key exchange runs both algorithms in the same handshake.

A firewall that inspects encrypted traffic at line rate has to absorb that overhead on every session.

Federal policy points the same way. The National Security Agency’s CNSA 2.0 guidance says traditional networking equipment such as VPNs and routers should “support and prefer CNSA 2.0 by 2026, and exclusively use CNSA 2.0 by 2030.”

According to Keyfactor’s summary of the federal timeline, new National Security System acquisitions are expected to be CNSA 2.0-compliant by default from January 1, 2027, and NIST IR 8547 proposes deprecating RSA, ECDSA, EdDSA and Diffie-Hellman at the 112-bit security level after 2030, with disallowance in 2035.

Vendor roadmaps line up with Gartner’s 2027 inflection. Cisco’s Secure Firewall PQC roadmap targets ML-KEM support in Secure Firewall Threat Defense 10.5 and ASA 9.25 for general availability in late 2026.

ML-DSA signature support is planned for FTD/ASA 11.0 in the second half of 2027, and SLH-DSA support is also planned for 11.0.

Gartner names the sectors with procurement mandates first. That is why the revision lands in 2027 and fades by 2030. Gartner models the refresh as a pull-forward, with 2030 growth now slightly below the June forecast at 6.8% versus 7.0%.

After two increases, the 2026 number dips

I have tracked Gartner’s 2026 security number through four quarterly updates. The 4Q25 update projected $244.2 billion. 1Q26 raised it to $246.2 billion. 2Q26 raised it again to $248.2 billion. 3Q26 is the first update in that run to come in lower, at $247.5 billion.

Gartner 2026 worldwide information security spending as published in each quarterly update: $244.2 billion in 4Q25, $246.2 billion in 1Q26, $248.2 billion in 2Q26 and $247.5 billion in 3Q26
Gartner’s 2026 worldwide information security spending as published in each quarterly update, current U.S. dollars. Data from Gartner 4Q25, 1Q26, 2Q26 (G00855892) and 3Q26 (G00862059) forecasts. The y-axis starts at $240 billion to make the revisions visible.

Each bar in the chart above is the 2026 total as published in one quarterly update. The labels inside the bars show the change from the previous update, at +$2.0 billion, +$2.0 billion and -$0.8 billion.

An axis starting at $240 billion keeps the revisions visible. All four estimates sit within 2% of each other.

The entire $788 million drop is currency, not lower demand. Gartner’s revision table puts the 2026 change at -$788 million in current dollars, with 0.0% change in every 2026 growth rate. In the detailed files, the 2026 total is unchanged in constant currency.

Japan shows the currency effect most clearly. Its 2030 forecast is $1.37 billion lower in current dollars than in June, yet $49 million higher in constant currency, all of it from the firewall increase.

Gartner’s notes flag exchange-rate volatility, Strait of Hormuz disruption expected to continue into 2027, energy prices more than 50% above pre-war levels and the risk that inflation and rising interest rates erode business confidence.

Gartner expects the conflict’s main near-term effect on IT spending to be a rebalancing of sourcing, vendor relationships and regional exposure rather than a material cut.

Where the $125.4 billion in new spending goes

Growth rates show where momentum is. Dollar additions show where budgets actually move. Fifteen of the 41 categories capture 76% of all new spending between 2026 and 2030.

Bars in the next chart show the dollars each of the 15 largest categories adds between 2026 and 2030, colored by market. The indigo line, read on the right axis, is the cumulative share of the $125.4 billion total.

It reaches 15% with the first category, 46% after five, 65% after ten and 76% after fifteen.

Pareto chart of 15 security categories capturing 76% of $125.4 billion in new spending from 2026 to 2030
Net new spending added between 2026 and 2030 by category, current U.S. dollars, with cumulative share. Data from Gartner G00862059. Dollar additions and shares calculated by softwarestrategiesblog.com.

Other security software, including securing AI. +$19.2 billion, from $18.3 billion to $37.5 billion. The largest single dollar gain in the forecast.

Endpoint protection platforms (enterprise). +$11.7 billion, from $21.3 billion to $32.9 billion.

Cloud security posture management. +$9.8 billion, from $6.3 billion to $16.1 billion.

Firewall equipment. +$8.8 billion, from $19.7 billion to $28.6 billion. Post-quantum refreshes make firewalls the fourth-largest source of new dollars, ahead of cloud workload protection.

Cloud workload protection platforms. +$8.2 billion, from $7.5 billion to $15.7 billion.

Managed security operations. +$7.0 billion, from $15.6 billion to $22.7 billion. The largest services gain.

Five categories alone account for $57.8 billion, or 46% of new spending. Three of them sit in cloud security or in other security software, where Gartner counts securing AI. Endpoint protection and the firewall, a category many security leaders had written off as a replacement-cycle business, make up the other two.

The 10 fastest-growing categories through 2030

Ranked by 2025 to 2030 CAGR in constant currency, cloud security takes the top three spots. Gartner’s cloud security subsegment grows from $16.6 billion in 2026 to $38.4 billion by 2030, a 24.1% CAGR and the fastest of the 11 subsegments.

In the chart, bar length is each category’s 2025 to 2030 CAGR in constant currency. The label gives the CAGR and the category’s 2026 and 2030 market size in current dollars.

Navy marks security software and sky blue marks network security. The dashed line is the 10.8% market CAGR, so every bar crosses it by at least 1.2 points.

Ten fastest-growing security categories led by cloud security posture management at a 27.6% CAGR
Top 10 of 41 categories by 2025-2030 CAGR in constant currency, with 2026 and 2030 market sizes in current U.S. dollars. Data from Gartner G00862059. Ranking by softwarestrategiesblog.com.
  1. Cloud security posture management. 27.6% CAGR. $6.3 billion in 2026 to $16.1 billion in 2030.
  2. Cloud access security brokers. 24.3%. $2.8 billion to $6.5 billion.
  3. Cloud workload protection platforms. 21.0%. $7.5 billion to $15.7 billion.
  4. Zero trust network access. 20.9%. $3.0 billion to $6.4 billion. The fastest-growing network security category.
  5. Threat intelligence. 19.0%. $3.1 billion to $6.1 billion.
  6. Consent and preference management. 18.6%. $1.0 billion to $2.0 billion.
  7. Other security software, including securing AI. 18.5%. $18.3 billion to $37.5 billion.
  8. Network detection and response. 12.4%. $2.6 billion to $4.1 billion.
  9. Subject rights request automation. 12.3%. $1.5 billion to $2.3 billion.
  10. Vulnerability assessment. 12.0%. $4.1 billion to $6.4 billion.

Gartner’s own opportunity map plots the 11 subsegments on two axes. The horizontal axis is the 2025 to 2030 CAGR. The vertical axis is dollars added over the same period. Bubble size is the 2030 market. The dashed vertical line marks the overall 10.8% CAGR.

Cloud security and other security software sit alone on the right, the only two subsegments growing faster than 15%. Infrastructure protection is the largest subsegment at $62.7 billion by 2030 and adds the most dollars, about $26 billion, while growing at the market average.

Gartner Figure 1 bubble chart of 2030 information security segment opportunities by size and growth
Figure 1: Information Security Market Opportunities, 2030 Segment Forecast. Source: Gartner, G00862059 (September 2026). Original figure by Gartner. Commentary and independent analysis by softwarestrategiesblog.com. Please click to expand.

Securing AI becomes the largest line item in 2029

Gartner places securing AI inside other security software. The report sizes the market for securing AI ecosystems and AI agents at $3 billion in 2026 and $16 billion by 2030, citing its companion analysis, Forecasting the $16.4 Billion Opportunity in Securing AI.

That makes securing AI about 16% of the other security software category in 2026 and about 43% by 2030, by my calculation.

Of the $19.2 billion the category adds over the period, roughly $13 billion comes from securing AI. The rest of the category grows from about $15.3 billion to about $21.5 billion.

Other security software is also the only category whose growth accelerates every year of the forecast, from 16.3% in 2026 to 20.1% in 2030 in constant currency. It passes enterprise endpoint protection in 2029, $31.1 billion against $30.1 billion, and finishes 2030 at $37.5 billion against $32.9 billion.

By 2030 securing AI alone, at $16 billion, is roughly the size of cloud security posture management ($16.1 billion), managed detection and response ($15.7 billion) or cloud workload protection ($15.7 billion), and larger than SIEM ($11.2 billion).

Gartner’s second AI number is larger. Gartner’s AI-amplified security forecast projects AI-amplified security, meaning existing security products with AI built in, rising from $49 billion in 2026 to $204 billion by 2030.

I covered the full AI-amplified forecast in Gartner’s AI security forecast exposes 162x services growth that still trails software 2 to 1 in new spending.

Each bar in the next chart equals Gartner’s 3Q26 total for that year. The navy segment is Gartner’s AI-amplified security spending. The light-blue segment is everything else in the information security market, calculated by subtracting AI-amplified spending from the total.

Each segment shows its dollars and its share of that year’s total. The indigo note repeats Gartner’s securing AI figures, which sit inside other security software rather than in the AI-amplified total.

Everything else, the light-blue segment, shrinks from $182.9 billion (95%) in 2024 to $168.4 billion (45%) in 2030, even as the total nearly doubles.

AI-amplified security rising from 20% of security spending in 2026 to 55% in 2030
AI-amplified security spending as a share of total information security spending, 2024 to 2030. Data from Gartner, Forecast Analysis: AI-Amplified Security, Worldwide, 2026 (August 2026) and Gartner G00862059 (September 2026). The share combines two Gartner forecasts and is an illustrative softwarestrategiesblog.com calculation, not a Gartner-published ratio.

Set against the 3Q26 totals, AI-amplified spending rises from 20% of the market in 2026 to 39% in 2028, 47% in 2029 and 55% in 2030. Treat that as an illustration of direction, since the two forecasts were built separately.

By the end of the decade, most security dollars will buy products where AI does part of the detection, triage or response work.

Gartner’s report expects AI code security assistants and cybersecurity AI assistants to automate event triage, false-positive reduction and code remediation, and it expects organizations to shift from reactive defense toward continuous threat exposure management (CTEM).

North America is 53% of 2030 spending, and China grows fastest

On the left, the chart shows each region’s 2030 spending in current dollars and its share of the world total. On the right is each region’s 2025 to 2030 CAGR in constant currency. The dashed line marks the 10.8% world rate, and indigo marks China and Japan, the two fastest-growing regions.

2030 security spending by region with North America at $197.7 billion and China growing fastest at 15.4%
2030 information security spending by region in current U.S. dollars and 2025-2030 CAGR in constant currency. Data from Gartner G00862059. Shares calculated by softwarestrategiesblog.com.

North America. $129.2 billion in 2026, 52.2% of the world. $197.7 billion by 2030, 53.0%. 11.4% CAGR. The United States alone reaches $181.1 billion in 2030.

Europe. $64.0 billion in 2026 to $91.3 billion by 2030. 8.6% CAGR, the slowest of the nine regions.

China. $10.7 billion in 2026, up 24.5% in current dollars. $18.7 billion by 2030. 15.4% CAGR, the fastest region.

Japan. $12.6 billion in 2026 to $22.2 billion by 2030. 13.1% CAGR, second fastest, with 17.6% constant-currency growth in 2026.

Emerging markets. Emerging Asia/Pacific grows at 11.1%, Sub-Saharan Africa at 10.5%, Latin America at 9.3%, and the Middle East and North Africa at 9.1%.

At the country level, China (16.2%), Indonesia (13.9%), Japan (13.1%) and Taiwan (12.4%) post the fastest constant-currency CAGRs among the 47 countries in the file.

All 41 categories, ranked

Growth rates spread wide across the full ranking. Seven categories grow faster than 18% a year. Twenty-nine grow below the 10.8% market rate. Two shrink.

Bars rank all 41 categories by 2025 to 2030 CAGR in constant currency. Each bar carries its CAGR, and the right-hand column lists the category’s 2030 market size in current dollars. Click the chart to open it full size.

Navy is security software, mid-blue is security services and sky blue is network security. Indigo marks the two shrinking categories, and a dashed line marks the 10.8% market rate.

All 41 Gartner security categories ranked by CAGR, with network access control and IDPS shrinking
All 41 information security categories ranked by 2025-2030 CAGR in constant currency, with 2030 market size in current U.S. dollars. Data from Gartner G00862059. Ranking by softwarestrategiesblog.com.

Network access control declines at a 17.7% CAGR, from $922 million in 2026 to $382 million in 2030. Intrusion detection and prevention systems fall at 8.3% a year, from $785 million to $548 million.

Both sit inside network security equipment, the same subsegment where firewalls, zero trust network access and network detection and response all grow. My read is that standalone network appliances are being absorbed into firewall platforms and ZTNA, which is consistent with Gartner’s comments on platform consolidation.

User authentication grows at 3.1%, the slowest positive rate in the forecast, while access management grows at 9.2% to $12.1 billion and identity governance and administration at 10.2% to $7.1 billion. My read is that identity spending is shifting from the login event to governing who and what holds access.

A reading note on Gartner’s Table 1

Readers working from the PDF of the Gartner information security forecast should check the growth columns in Table 1. For the last three rows, the growth rates appear offset by one row. The table shows 16.3% to 20.1% growth next to security consulting services and 9.0% to 5.6% next to other security software.

Gartner’s detailed dataset shows the reverse. Other security software accelerates from 16.3% to 20.1%, security consulting services slows from 9.6% to 5.0%, and security professional services slows from 9.0% to 5.6%. The dollar values in the table are correct. Every growth rate in this post comes from the detailed file.

What security leaders should do with this forecast

Inventory every firewall and VPN concentrator for PQC capability now. Gartner’s refresh window opens in 2027 for government, financial services and defense. Organizations that sell into those sectors, or connect to them, will face the same questions in their own procurement and supplier reviews. Ask vendors which appliance generations support ML-KEM in hardware at full inspection throughput, and get the answer in writing.

Budget the refresh as a 2027 and 2028 capital item. Gartner’s revision adds $1.08 billion to 2027 and another $0.43 billion in 2028, then only $0.26 billion and $0.07 billion more in 2029 and 2030. Waiting for 2029 means buying when lead times and pricing reflect peak demand.

Plan for securing AI as a line item, not a pilot. At $16 billion by 2030, securing AI will be comparable in size to CSPM and MDR. Governance gaps are already visible. Gartner’s first AI governance hype cycle found 34% of enterprises govern AI with policies they only partly follow, which I covered in Gartner’s 2026 AI Governance Hype Cycle.

Push cloud security consolidation. CSPM, CASB and CWPP are the three fastest-growing categories, and Gartner lists SSE and CNAPP adoption alongside tool consolidation and cost control as 2027 budget priorities. Consolidating onto those platforms is the most direct way to fund the growth without adding consoles and contracts.

Re-test services contracts against AI-assisted operations. Services share drops from 39.3% to 33.6% by 2030. Managed security operations still adds $7.0 billion, so outsourcing is not shrinking. What changes is the mix of human hours and AI triage inside each contract, and pricing should reflect it.

Frequently asked questions

How much will worldwide information security spending be in 2026? Gartner forecasts $247.5 billion in 2026, up 13.6% in current U.S. dollars and 12.7% in constant currency.

How big will the security market be by 2030? $372.8 billion, which Gartner frames as $373 billion and a 10.8% constant-currency CAGR from 2025 through 2030.

What changed in the 3Q26 Gartner information security forecast? Firewall equipment growth for 2027 rose to 13.4% from 7.8% in constant currency, driven by post-quantum firewall refreshes. Every other business category kept its constant-currency outlook from June.

Which security category grows fastest? Cloud security posture management, at a 27.6% CAGR from 2025 to 2030, reaching $16.1 billion.

How large is the securing AI market? Gartner sizes securing AI at $3 billion in 2026 and $16 billion by 2030, counted inside other security software.

How I built this analysis

All market sizes are Gartner end-user spending from the 3Q26 detailed forecast file (G00862059), in current U.S. dollars unless noted. All growth rates and CAGRs are constant currency, matching Gartner’s reporting convention, with 2024 as the constant-currency base year.

Revisions compare the 3Q26 and 2Q26 (G00855892) detailed files category by category in constant currency, which separates forecast changes from exchange-rate effects. Dollar additions, shares, rankings, regional splits and the AI-amplified ratio are my calculations.

Securing AI figures ($3 billion in 2026, $16 billion by 2030) are Gartner’s, as stated in the 3Q26 report. The AI-amplified figures come from Gartner’s August 2026 AI-amplified security forecast.

Earlier analysis in this series:

For each month’s AI agent attacks, exploited CVEs and breaches with primary sources, see my monthly AI security news briefing.

This post is my personal analysis of Gartner’s information security research and does not represent my employer.

Sources

Gartner’s $5.95 trillion AI forecast puts the chatbot era on a 2027 deadline

Spending on the chatbots and assistants embedded in enterprise software peaks at $272.6 billion in 2027 and then shrinks every year through 2030. Gartner buried that projection inside the 2Q26 update of its worldwide AI spending forecast, published July 24, and it matters more than the headline total. By 2030, embedded chatbot spending falls back to $205.8 billion, a hair above its 2025 starting point.

Embedded agenticAI takes the money instead, growing from $88.2 billion in 2025 to $1 trillion by 2030, an 11.4x expansion inside a single software category.

None of that slows the topline. Worldwide AI spending reaches $2.67 trillion in 2026, up 49.5% from 2025, on its way to $5.95 trillion by 2030. The figure Gartner published in May was $2.59 trillion for this year. Ninety days later, the client-facing number runs $74.8 billion higher, and the firm added $496.8 billion to its comparable 2025 through 2030 outlook in a single quarter.

Four tables below show where the money lands, which segments stall, and what Gartner changed its mind about between April and July.

Where $5.95 trillion lands

Infrastructure stays the biggest line through 2030 at $2.79 trillion, even as its share of total spending slides from 55% in 2025 to 46.9% at the end of the window. AI-optimized servers alone reach $981.7 billion by 2030, a 3.4x jump from 2025, and AI processing semiconductors add another $656.4 billion. O

One caution before quoting the total anywhere. Gartner’s note flags the forecast as a view across the whole AI value chain, so the chip and the server it ships inside both get counted. Read $5.95 trillion as the size of the AI economy, not as net end-user budgets.

Devices carry more of the infrastructure number than most readers expect. Business and consumer AI devices combine for $904.4 billion in 2030, and $647.4 billion of that is consumer hardware, the AI PCs and phones landing in shopping carts rather than data centers.

Growth flattens fast after next year. Total spending rises 49% in 2026 and 36% in 2027, then steps down to 21%, 18% and 15% through 2030, while infrastructure decelerates from 51% growth this year to 9% at the end of the forecast.

Of the $883.8 billion in net-new AI spending arriving in 2026, infrastructure absorbs $502.5 billion, or 57 cents of every new dollar. The shape of the curve says the buildout peaks now and software inherits the growth.

Farther down the board, AI cybersecurity at $220.9 billion and AI agents and assistants at $219.9 billion finish 2030 within $1 billion of each other. Gartner created the agents category only this quarter.

Agentic AI crosses $1 trillion inside enterprise software

Gartner rebuilt its segmentation this quarter, splitting cross-functional and consumer agents out of AI software and adding consumer agents to the forecast for the first time. The new structure exposes a replacement cycle the old rollup hid. Inside enterprise software, agentic AI overtakes chatbots in 2027, the same year chatbot spending tops out, and from that peak to 2030 the embedded chatbot line surrenders $66.8 billion.

Cross-functional agents, the ones that work across software from multiple vendors, start from a base of zero. Gartner books $347 million for cross-functional agentic AI in 2026 and $78.1 billion in 2030, a number it raised this quarter on the thesis that these agents begin cannibalizing traditional SaaS by decade’s end. The ceiling matters as much as the curve. Against $1.21 trillion in total 2030 AI software spending, $78.1 billion says the incumbents hold the decade, because data access, integration complexity and execution reliability hold the category back from serious SaaS competition until 2030, in Gartner’s read.

The buy-versus-build verdict is just as lopsided. Agent builder platforms, the tooling for constructing your own agents, reach only $12.6 billion by 2030, so embedded agentic AI outspends them nearly 80 to 1. The first production agent most companies run will ship inside software they already own. Gartner describes exactly that race, with vendors across software categories embedding agentic AI to defend their installed bases against cross-functional challengers.

Consumer agents barely register yet in dollar terms. Gartner carries $26.9 million for consumer agentic AI in 2026, then $17.7 billion in 2027 as paid consumer agents arrive at scale, building to $51.8 billion by 2030. Adding consumer agents and assistants lifted Gartner’s 2030 total by $133 billion. For how these agent numbers stack against other analyst estimates, see my roundup of agentic AI forecasts and market estimates, 2026.

AI security expands 8.5x and splits in two

AI cybersecurity grows from $25.9 billion in 2025 to $220.9 billion in 2030, an 8.5x expansion at a 53.5% compound rate. Spending in the category grew 140% in 2025, and Gartner models another 98% jump this year. AI cybersecurity and AI data were also the only two markets left completely untouched between the 1Q26 and 2Q26 forecasts, which makes security the steadiest conviction in the entire model. For the standalone security spending outlook, see my breakdown of Gartner’s 2Q26 information security forecast.

Two markets move at different speeds inside the category. AI-amplified security, meaning AI capability inside security tooling, carries the volume and reaches $204.5 billion by 2030. Securing AI, the discipline of protecting AI systems themselves, runs smaller and faster, from $1.5 billion in 2025 to $16.4 billion in 2030 at a 60.4% compound rate.

Set the security numbers against the agent forecast and an exposure gap opens. The 2030 outlook has enterprises running $1.08 trillion of embedded and cross-functional agentic software while spending $16.4 billion to secure AI systems, roughly $66 of agentic software for every $1 of securing-AI budget. AI observability and governance tooling adds just $3.9 billion more. A software wave that large riding on a security ratio that thin is the budget argument CISOs should be starting now.

The fastest growth goes to whatever cuts the bill

Rank every segment by compound growth and one pattern jumps out, because the fastest-growing lines are the ones that make AI cheaper. Synthetic data generation leads the entire forecast at a 142.5% compound rate, expanding 84x from $146 million in 2025 to $12.2 billion in 2030. AI-ready datasets, the licensed real-data alternative, peak at $583 million in 2029 and then decline, leaving synthetic data outselling licensed data 22 to 1 by 2030. Gartner is forecasting the substitution of purchased data itself.

Domain-specific language models tell the same cost story at larger scale. DSLMs and specialized models grow 210% in 2026 and compound at 84.5% through 2030, rising from 12.2% of all model spend to 24.3%. Cost pressure also explains the strangest revision in the update. Gartner cut $57.8 billion in cumulative dollars from its generative AI model forecast while raising the segment’s 2026 growth rate from 110% to 117%, which nets out to more deployments running on cheaper models and smaller checks. Arunasree Cheparthi, a senior principal research analyst at Gartner and one of the forecast’s authors, said in the firm’s July 20 platforms and models announcement that spending “is shifting toward providers who can demonstrate clear value.”

What Gartner changed in 90 days

Between the April forecast and this one, Gartner added $500.8 billion to AI infrastructure across the 2025 through 2030 window, the largest revision in the update, and did it while flagging memory-related price increases. The note calls infrastructure demand inelastic to that pricing pressure, because hyperscalers keep buying AI-optimized servers on the conviction that model capabilities improve through 2030.

Software took the other side of the trade. AI software gained $191.9 billion and application development platforms picked up $10.7 billion. Gartner lifted the 2026 app-dev growth rate from 28% to 39% as enterprises build custom AI applications and demand usage tracking to prove the spend. The cuts land on everything that resembles consulting or plumbing. AI services lost $80.7 billion across the window, with every single year revised down, and platforms for data science and machine learning lost $68.2 billion, including an 8% cut to 2027 alone.

The services cut hides a structural shift rather than a retreat. Gartner still sizes AI services at $1.25 trillion in 2030, but the growth belongs to indirect services, which compound at 34.5% and pass direct, consulting-led engagements in 2028. Direct AI services compound at 15.7%, less than half the indirect rate. Buyers are routing transformation budgets through software and cloud purchases instead of billable hours.

Three dates to plan against

2027 is the year chatbot spending tops out and agentic AI takes over inside enterprise software, which gives any vendor still selling assistant-branded features through the end of next year to ride what growth remains. By 2028, indirect services pass consulting-led engagements and infrastructure growth drops to 15%, so the buildout stops flattering everyone’s numbers. And 2030 arrives with $1.08 trillion of agentic software guarded by $16.4 billion of securing-AI spend. The first two dates decide where the money goes, and the third decides what happens when it arrives unprotected.

This post is my personal reflection on Gartner’s AI spending research from an industry analyst perspective. It does not represent my employer.

Source: Gartner, Forecast: AI Spending, Worldwide, 2025-2030, 2Q26, Kay Arnott, Jon Erensen, Amarendra, Adrian O’Connell, Arunasree Cheparthi, Naresh Singh, Peter Middleton, Hardeep Singh, Shailendra Upadhyay, Rishi Padhi, 24 July 2026, G00855896.

Gartner’s $246.2B Security Forecast shows 10 categories growing 2x to 3x the market

$30.6 billion in new security spending in a single year. Gartner's 1Q26 Information Security forecast projects $246.2 billion in 2026 spending across 41 categories. Cloud Security Posture Management leads at 33.4% growth, followed by Threat Intelligence at 27.3% and Cloud Access Security Brokers at 27.2%. Two legacy categories are declining. I analyzed the full dataset to rank the 10 fastest-growing categories by growth rate and what they mean for CISO budgets.

Read more

Gartner’s $244.2B security forecast shows enterprises spend 17x more on AI tools than securing AI itself

Update: Gartner’s 2Q26 forecast, revised July 21, 2026, puts 2026 information security spending at $248.2 billion. Read the current analysis.

Inside the $244.2 billion security market: agentic AI adoption outpaces defenses 8 to 1, cloud security grows at 28.8%, and enterprises spend 17x more on AI tools than on securing the AI itself

Gartner forecasts worldwide AI spending will reach $2.52 trillion in 2026, a 44% increase year-over-year. Worldwide IT spending will hit $6.15 trillion. Within that massive build-out, information security spending accelerates to $244.2 billion, up 13.3%.

The headline looks healthy. Look closer, and it isn’t. I’ve been tracking Gartner’s information security forecast through multiple quarterly updates, and the trajectory keeps steepening. But the spending acceleration is masking a deeper problem: enterprises are deploying AI agents into production far faster than they are securing them.

  1. The 40% / 6% gap

Gartner predicts 40% of enterprise applications will include task-specific AI agents by the end of 2026. Up from less than 5% in January. These are not chatbots. Gartner’s examples include autonomous cybersecurity response agents that scan network traffic, analyze system logs, and initiate responses without human intervention.

Only roughly 6% of organizations report having an advanced AI security strategy in place, according to vendor-sourced research from BigID’s 2025 AI Risk and Readiness study. Even adjusting for methodology differences between vendor and analyst research, the gap is stark. Agents are entering production at roughly 7-8x the rate organizations are building governance around them.

Gartner’s 4Q25 AI spending forecast created a dedicated agentic AI market segment for the first time. The spending lines are dramatic. Agentic AI overtakes chatbot and assistant spending by 2027. By 2029, agentic AI will reach $752.7 billion at a 119% compound annual growth rate. Chatbot spending peaks at $264.7 billion, then declines. That crossover point is where the security model breaks, because chatbots operate within human-supervised sessions. Agents don’t.

Gartner named agentic AI oversight the number-one cybersecurity trend for 2026 in its February report (my breakdown of all six trends here). A separate Gartner poll of 147 CIOs found 24% had already deployed AI agents and 50% were actively experimenting. Guardian agents, AI systems designed to monitor and govern other AI agents, are projected to capture 10-15% of the agentic AI market by 2030.

Forrester’s 2026 cybersecurity predictions go further: an agentic AI deployment will cause a publicly disclosed data breach this year, leading to employee dismissals. Senior analyst Paddy Harrington frames it as a cascade of failures, not a single point of error. That prediction landed in October 2025. Nothing since has made it less likely.

  1. $244.2 billion, and where it goes

Gartner’s 4Q25 information security forecast projects global spending reaching $244.2 billion in 2026, up 13.3% year-over-year. That is acceleration, not continuation. Gartner’s forecast trajectory has been steepening for multiple quarters. It follows a year where many CISOs focused on consolidating tools rather than buying new ones.

The allocation matters more than the total (please click on the graphic to expand for easier reading):

Cloud security at 28.8% growth is the fastest subsegment by a wide margin. CSPM alone carries a 31.3% CAGR. These represent organizations reacting to attack surfaces that expanded when workloads moved to the cloud faster than security controls followed.

Managed security services at 11.1% tells a workforce story the spending headline misses. The ISC2 documented a global cybersecurity workforce gap of 4.8 million professionals in October 2024. That gap grew 19% year-over-year while the active workforce flatlined at 5.5 million. A quarter of organizations reported cybersecurity layoffs. So they’re buying SOC capacity from managed providers instead. The spending growth in managed services is a staffing problem wearing a procurement mask.

The 17:1 spending asymmetry

Gartner’s 4Q25 AI spending forecast splits the AI cybersecurity market into two sub-segments for the first time. AI-amplified security, using AI to defend the enterprise, reached $49 billion in 2025. Securing AI itself, protecting the models, training data, inference pipelines, agent workflows, and decision outputs, stood at $2.8 billion. That is 5.5% of the AI cybersecurity market.

Enterprises are investing 17 times more in AI-powered security tools than in securing the AI on which those tools run. Gartner projects over 75% of enterprises will use AI-amplified cybersecurity products by 2028, up from less than 25% in 2025. The tools are getting funded. What the tools actually depend on to function is not.

  1. Quantum crosses the 5% budget threshold

Forrester predicts quantum security spending will exceed 5% of overall IT security budgets in 2026. Five percent sounds modest until you consider what it represents: the shift from research line items to actual procurement.

That means consulting engagements for quantum migration planning. Cryptographic discovery tools to figure out which systems need replacing first. Post-quantum algorithm testing across live production environments. Gartner calls post-quantum cryptography a force that demands organizations identify, manage, and replace traditional encryption methods now. Not eventually. The encryption market is growing at 2.0x according to the 4Q25 forecast, and the planning horizon is 2030. Starting migration in 2028 means compounding rip-and-replace costs every quarter of delay.

Forrester also predicts the EU will establish its own known exploited vulnerability database in 2026. Regulatory fragmentation adds cost. For enterprises operating across jurisdictions, quantum migration planning cannot be separated from compliance architecture.

  1. 57% of employees are already using shadow AI

A smaller Gartner survey of 175 employees conducted between May and November 2025 found that 57% use personal GenAI accounts for work. A third admitted to uploading sensitive information to tools their organizations have not sanctioned.

I keep coming back to this stat because it reframes the entire agentic AI security conversation. The firewalls most enterprises rely on were built for human-to-application communication. Protocols like MCP now enable agent-to-agent interaction at a scale and speed those tools were never designed to see. Machine identities outnumber human employees by more than 80 to 1 in most enterprises, according to CyberArk. Traditional IAM was not built for nonhuman actors operating autonomously.

Gartner’s cybersecurity trends report identifies IAM adaptation for AI agents as a top-six trend for 2026, specifically calling out identity registration, credential automation, and policy-driven authorization for machine actors. Failure to address these issues will lead to greater access-related cybersecurity incidents as autonomous agents become more prevalent.

The investment context: AI in the trough, security in the gap

Gartner places AI in the Trough of Disillusionment throughout 2026. AI will most often be sold by incumbent software providers rather than bought as part of new moonshot projects. ROI predictability has to improve before enterprises scale their deployments.

Forrester’s 2026 predictions reinforce this: enterprises will defer 25% of planned AI spending into 2027 as financial rigor slows production deployments and kills proofs of concept. Fewer than one-third of decision-makers can tie AI value to their organization’s financial growth.

Yet Gartner’s IT spending forecast shows server spending accelerating at 36.9% year-over-year and data center spending surging 31.7% past $650 billion. GenAI model spending grows at 80.8%. The infrastructure build-out is not slowing even as enterprise application adoption pauses.

Infrastructure spending runs hot. Application-layer AI spending cools. Security spending accelerates into the gap between adoption speed and governance readiness. The $244.2 billion flowing into information security is the cost of operating in an environment where AI agents are proliferating faster than the controls designed to govern them.

What these numbers add up to

For two decades, enterprise security assumed a human on the other end of every session, every credential request, every decision. That assumption is collapsing. The autonomous agent accessing your production database at 3 AM doesn’t authenticate the way your SOC analyst does, doesn’t respect the same governance boundaries, and operates at speeds no human reviewer can match.

What makes this moment different from previous security inflection points is the speed asymmetry. When cloud migration created new attack surfaces, enterprises had years to adapt. The shift from on-prem to cloud took a decade. The shift from human-operated to agent-operated environments is measured in quarters. Gartner didn’t even have a dedicated agentic AI spending segment until this forecast cycle. By the next one, the crossover will have already happened.

The practical question for 2026 is not whether to invest in AI security. That decision has been made by the spending trajectory. It is whether to govern AI agents proactively, before the first publicly disclosed agentic breach forces a reactive scramble, or to wait and pay the premium that every late mover in cybersecurity history has paid. Forrester has already predicted which outcome is more likely this year. The 17:1 ratio suggests most enterprises are betting on the wrong side of that question.

Sources

Gartner Forecast: Information Security, Worldwide, 2023–2029, 4Q25 (December 18, 2025)

Gartner Forecast Analysis: Information Security, Worldwide, 2026 (February 5, 2026)

Gartner Forecast: AI Spending, Worldwide, 2024–2029, 4Q25 (December 2025)

Gartner, Top Trends in Cybersecurity for 2026 (February 5, 2026)

Gartner, Worldwide AI Spending Will Total $2.52 Trillion in 2026 (January 15, 2026)

Gartner, Worldwide IT Spending to Grow 10.8% in 2026 (March 2026)

Gartner, 40% of Enterprise Apps Will Feature AI Agents by 2026 (August 26, 2025)

Gartner, Guardian Agents Will Capture 10-15% of Agentic AI Market by 2030 (June 11, 2025)

Forrester Predictions 2026: Cybersecurity and Risk (October 28, 2025)

Forrester, Global Tech Spend Will Grow 7.8% in 2026 (February 2, 2026)

Forrester, 2026 Technology & Security Predictions (October 28, 2025)

ISC2, 2024 Cybersecurity Workforce Study (October 2024)

CyberArk, Machine Identities Report (April 2025)

BigID, AI Risk & Readiness in the Enterprise (2025)

Gartner’s 4Q25 Information Security forecast shows 15 categories capturing half of all new security spending through 2029

Gartner's 4Q25 Information Security forecast shows 15 categories capturing half of all new security spending through 2029

Fifteen cybersecurity categories are growing up to three times faster than the overall market, capturing $48.7 billion in new spending by 2029.

That’s nearly half of the $98.4 billion the entire security market will add over the next four years. Cloud Security Posture Management leads the pack at 29.36% CAGR. Cloud Access Security Brokers follow at 24.81%.

Enterprises are fundamentally restructuring their security budgets, and the driver is brutal in its simplicity. Organizations now manage an average of 112 SaaS applications across multiple cloud providers. 82% of misconfigurations are caused by human error, according to Exabeam’s analysis. And Gartner estimates 99% of cloud security failures through 2025 will be the customer’s fault, primarily from these misconfigurations. Manual oversight breaks under this kind of scale. Enterprises are responding by investing in automation that manages what people can’t across hundreds of cloud accounts, thousands of APIs, and millions of attack vectors.

Gartner’s 4Q25 update delivers the clearest signal yet about where enterprise security budgets are heading. The overall information security market grows from $213.5 billion in 2025 to $311.9 billion by 2029 at 10.03% CAGR. These fifteen high-growth categories are expanding at 10.30% to 29.36% CAGR, capturing investment dollars at rates that dwarf legacy security spending patterns.

What makes these categories different

Every high-growth category eliminates manual bottlenecks that break under cloud-native workloads. CSPM scans configurations continuously. CASB provides visibility into unauthorized SaaS usage. ZTNA verifies every connection rather than trusting the network location. With 79% of organizations using multiple cloud providers, according to Spacelift’s research, manual processes create mathematical impossibilities.

These technologies prevent problems rather than clean up after them. CSPM catches misconfigurations before breaches. ZTNA eliminates the attack surface that VPNs create. Tokenization protects data even when systems get compromised. Security teams are finally getting ahead of threats instead of constantly playing catch-up.

And the ROI is quantifiable. IBM’s 2025 Cost of a Data Breach Report shows organizations using AI and automation extensively save $1.9 million per breach and reduce breach lifecycles by 80 days. U.S. breach costs average $10.22 million. These investments pay for themselves with a single prevented incident—a calculation CFOs understand.

Gartner's 4Q25 Information Security forecast shows 15 categories capturing half of all new security spending through 2029

The 15 categories reshaping enterprise security

1. Cloud Security Posture Management (CSPM) — 29.36% CAGR — $4.68B → $12.76B

CSPM platforms scan infrastructure continuously across AWS, Azure, and Google Cloud, automatically remediating misconfigurations before they become breaches. The 82% human error rate isn’t going to improve through training. Organizations managing 100+ cloud accounts need automation. CSPM adds $8.09 billion in new spending by 2029, the single largest dollar contribution among high-growth segments.

2. Cloud Access Security Brokers (CASB) — 24.81% CAGR — $2.30B → $5.58B

Here’s the brutal reality. Enterprises average 112 SaaS applications, but shadow IT accounts for 42% of all applications per JumpCloud’s data. IT stays blind to roughly 78 apps out of an average 187-app environment. The damage? 65% of shadow IT deployments result in data loss, and 52% lead to breaches, according to Mimecast research. CASBs restore visibility and control, growing to $5.58 billion by 2029.

3. Zero Trust Network Access (ZTNA) — 21.95% CAGR — $2.48B → $5.43B

ZTNA replaces the VPN model with application-specific access controls. Instead of network-level access, it provides application-specific connections verified for every request. Gartner predicts 70% of new remote access deployments will use ZTNA by 2025, up from less than 10% at the end of 2021. And 65% of companies plan to retire VPNs within one year per Cybersecurity Insiders data. This represents a wholesale rethinking of secure access. The perimeter-based model is dying. Good riddance.

4. Threat Intelligence — 21.73% CAGR — $2.58B → $5.69B

Modern threat intelligence platforms fuse telemetry from open-source intelligence, dark-web monitoring, vendor feeds, and internal logs. Machine learning prioritizes indicators based on organizational relevance. IBM data shows organizations integrating threat intelligence reduce detection and escalation costs while cutting incidents by 30%. The market reaches $5.69 billion by 2029 as enterprises shift from passive threat feeds to automated response integration.

5. Cloud Workload Protection Platforms (CWPP) — 21.53% CAGR — $5.98B → $13.11B

Traditional endpoint security can’t protect containers that spin up and vanish in seconds. Serverless functions executing for milliseconds? Legacy tools weren’t designed for that. CWPP solutions instrument workloads directly at the kernel or hypervisor level, monitoring system calls, file access, and network connections in real-time. The 21.53% CAGR reflects the rapid shift toward microservices and Kubernetes. As workloads migrate into container clusters, protecting them becomes a survival-level priority.

6. Consent and Preference Management — 20.22% CAGR — $0.81B → $1.64B

GDPR fines surpassed €5.88 billion by January 2025, according to DLA Piper’s annual survey. California’s CCPA penalties keep climbing. The California Privacy Protection Agency recently fined Todd Snyder $345,178 for inadequate opt-out and privacy request processes. Manual consent workflows can’t meet regulatory deadlines across jurisdictions. Automated platforms centralize preferences across web, mobile, and API endpoints while providing auditable logs for regulators.

7. Subject Rights Request (SRR) Automation — 14.26% CAGR — $1.24B → $2.01B

When users demand “delete my data,” these platforms automate orchestration across internal systems and third-party vendors. Privacy laws grant individuals rights to access, correct, and delete personal data with strict compliance timelines. SRR automation prevents the penalties that result from manual processing failures at scale, especially as more jurisdictions implement data privacy regulations.

8. Network Detection and Response (NDR) — 13.44% CAGR — $2.15B → $3.37B

NDR platforms establish behavioral baselines using statistical analysis and machine learning. When anomalies appear (unusual lateral movement, data exfiltration attempts, command-and-control traffic), they raise alerts or automatically isolate systems. The mindset shift matters here. Rather than hoping to prevent all attacks, sophisticated organizations invest in rapid detection that minimizes damage when attackers inevitably breach perimeters. Prevention alone isn’t sufficient anymore.

9. Vulnerability Assessment — 13.02% CAGR — $3.48B → $5.60B

Quarterly vulnerability scans are obsolete in CI/CD pipelines deploying multiple times daily. Modern assessment platforms provide continuous scanning integrated with exploit intelligence to prioritize patches based on real-world risk. DevOps teams need vulnerability detection that keeps pace with their deployment cadence. Anything less creates unacceptable exposure windows.

10. Tokenization — 12.68% CAGR — $1.34B → $2.11B

Tokenization replaces sensitive data with non-reversible tokens that can’t be mathematically decoded. The urgency comes from quantum computing advances. NIST finalized post-quantum encryption standards in August 2024, including ML-KEM (formerly CRYSTALS-Kyber) and ML-DSA (formerly CRYSTALS-Dilithium). Attackers already practice “harvest now, decrypt later”—collecting encrypted data today for quantum decryption within five to ten years. Organizations must begin quantum-safe transitions now.

11. Endpoint Protection Platform (EPP) — 12.51% CAGR — $17.68B → $28.36B

The largest single category adds $10.68 billion in new spending as ransomware attacks surge. U.S. ransomware attacks increased 149% year-over-year—from 152 incidents in early 2024 to 378 in the same period of 2025, according to Cyble analysis. Next-generation EPP platforms use behavioral analytics and signatureless detection to stop ransomware before encryption begins, catching what traditional antivirus misses.

12. Secure Web Gateway (SWG) — 11.63% CAGR — $4.44B → $6.74B

Malicious sites appear and disappear in hours. Cloud-delivered SWGs update threat intelligence in real-time, protecting remote and hybrid workforces wherever they connect. Integration with ZTNA creates comprehensive security that follows users across devices and locations without relying on network perimeters that no longer exist.

13. Web Application Firewalls (WAF) — 10.92% CAGR — $2.48B → $3.74B

Organizations expose hundreds of APIs and microservices—each a potential attack vector. Traditional network firewalls can’t inspect application-layer attacks like SQL injection, cross-site scripting, or API abuse. Modern WAFs use machine learning to differentiate legitimate user behavior from attack traffic without blocking customers. Getting that balance right is harder than it sounds.

14. Encryption — 10.64% CAGR — $1.35B → $1.98B

NIST’s standardization of quantum-resistant algorithms signals the urgency that organizations can no longer ignore. With quantum computing advances accelerating, encrypted data collected today faces decryption within a decade. Enterprises must transition to post-quantum cryptography now because full integration across complex environments takes years. This isn’t theoretical risk anymore.

15. Security Information and Event Management (SIEM) — 10.30% CAGR — $7.60B → $11.15B

AI transforms SIEM from reactive log collection to proactive threat hunting. The latest platforms embed unsupervised machine learning to detect zero-day attacks and automatically enrich alerts with context. Organizations using AI-powered automation save $1.9 million per breach and cut incident lifecycles by 80 days—turning security operations into a competitive advantage rather than a cost center.

Why this matters

Cloud complexity has proven exponential. With 79% of organizations using multiple cloud providers and managing hundreds of accounts, manual security processes break under the load. The 29.36% CAGR for CSPM isn’t market optimism. It’s organizational survival.

Shadow AI joins shadow IT as a core threatscape element. Shadow AI breaches cost $4.63 million—$670,000 more than standard incidents, according to IBM data. But AI also powers the best defenses, with automated security tools reducing breach lifecycles by 80 days. The same technology that creates vulnerabilities offers the most effective countermeasures.

Compliance costs keep accelerating. Between GDPR, CCPA, and emerging global regulations, manual compliance processes create escalating liability. Automated platforms turn regulatory requirements into competitive advantages by reducing fine exposure and accelerating data subject request responses.

Bottom Line

The organizations winning this transformation aren’t those with the largest security budgets. They’re the ones investing in the right categories at the right time. These fifteen segments define what modern security architecture looks like and capture nearly half of all new security spending through 2029.

Gartner’s 4Q25 data delivers a clear message. Security spending is shifting to automation-driven, zero-trust, cloud-native architectures. Organizations still relying on legacy approaches aren’t just falling behind. They’re accepting risks the market has already priced as unacceptable.

Source: Gartner Forecast: Information Security, Worldwide, 2023-2029, 4Q25 Update (Document G00843183, published December 18, 2025), showing overall market growth from $213.5B (2025) to $311.9B (2029) at 10.03% CAGR in constant currency.

 

 

15 fastest-growing security categories in Gartner’s 3Q25 Information Security Forecast

15 fastest-growing security categories in Gartner's 3Q25 Information Security Forecast

Cloud Security Posture Management is growing at a 31.23% CAGR. Zero Trust Network Access at 23.25%. Threat Intelligence at 22.17%. The overall security market? Just 10.55%. Fifteen categories are outpacing the market by two to three times, collectively capturing $106 billion in new spending by 2029. Enterprise security budgets aren’t just expanding. They’re being redirected.

And the driver? Brutally simple.

Gartner estimates 99% of cloud security failures through 2025 will be the customer’s fault, primarily due to misconfigurations. Organizations are responding by investing aggressively in technologies that automate what humans simply can’t manage manually across hundreds of cloud accounts, thousands of APIs, and millions of potential attack vectors.

What these growth rates say about Gartner’s view of the market 

These fifteen categories represent $106.4 billion in new spending by 2029, growing from today’s baseline. What do they have in common? Three characteristics that explain why enterprises are pouring money into them:

  • Automation at Scale. Every high-growth category automates processes that break when done manually, whether it’s scanning cloud configurations, managing consent across jurisdictions, or detecting behavioral anomalies in network traffic. There’s no other way to keep pace.
  • Proactive vs. Reactive. These technologies prevent problems rather than clean up after them. CSPM catches misconfigurations before breaches. ZTNA eliminates the attack surface that VPNs create. Tokenization protects data even if systems are compromised. Security teams are finally getting ahead of the threat curve instead of playing catch-up.
  • Measurable ROI. IBM’s 2025 Cost of a Data Breach Report shows organizations using AI and automation extensively save $1.9 million per breach and reduce breach lifecycle by 80 days. With U.S. breach costs hitting $10.22 million, these investments pay for themselves with a single prevented incident.

15 fastest-growing security categories in Gartner's 3Q25 Information Security Forecast

The 15 categories reshaping security architecture

1. Cloud Security Posture Management (CSPM) | 31.23% CAGR | $2.5B → $13.0B

CSPM tools continuously scan infrastructure across AWS, Azure, and Google Cloud. With 82% of misconfigurations caused by human error and organizations managing 100+ cloud accounts, CSPM automates what’s mathematically impossible to do manually. The market will reach $15.6 billion by 2032.

2. Cloud Access Security Brokers (CASB) | 25.82% CAGR | $1.5B → $5.8B

Here’s a reality check. Enterprises average 112 SaaS applications, but shadow IT, or unauthorized apps, accounts for 42% of all applications. IT remains unaware of one-third of the apps on its networks. The damage? 65% of shadow IT companies suffer data loss, and 52% experience breaches. CASBs transform this chaos into visibility and control.

3. Zero Trust Network Access (ZTNA) | 23.25% CAGR | $1.6B → $5.6B

ZTNA kills the VPN model. Instead of network access, it provides application-specific connections verified for every request. Gartner predicts 70% of new remote access deployments will use ZTNA by 2025. With 65% of companies planning to replace VPNs, this shift represents a wholesale rethinking of secure access. The perimeter-based model is dying. Good riddance.

4. Cloud Workload Protection Platforms (CWPP) | 22.78% CAGR | $3.9B → $13.5B

CWPP platforms secure everything from traditional VMs to containers that exist for milliseconds. Legacy endpoint security can’t protect ephemeral containers or serverless functions—it wasn’t designed for workloads that appear and disappear in seconds. The shift to microservices demands purpose-built security.

5. Consent and Preference Management | 22.39% CAGR | $0.5B → $1.7B

GDPR fines reached €5.88 billion by January 2025, according to the DLA Piper GDPR Fines and Data Breach Survey. California’s CCPA penalties continue climbing; the California Privacy Protection Agency fined Todd Snyder $345,178 for inadequate opt-out and privacy request processes. Manual handling can’t meet regulatory deadlines. Automation prevents massive fines.

6. Threat Intelligence | 22.17% CAGR | $1.8B → $5.8B

IBM data shows threat intelligence reduces detection and escalation costs by $1.63 million while cutting incidents by 30%. Modern platforms aggregate data about bad actors and vulnerabilities, transforming raw threat data into automated responses across security stacks. The days of threat feeds sitting in dashboards, unused, are over.

7. Subject Rights Request Automation | 16.53% CAGR | $0.8B → $2.1B

When users demand “delete my data,” these platforms automate the process across all systems. Manual handling doesn’t scale, not when you’re managing requests across multiple jurisdictions with different requirements and tight deadlines.

8. Tokenization | 14.26% CAGR | $1.0B → $2.2B

Tokenization replaces sensitive data with meaningless tokens that can’t be mathematically reversed. Why the urgency now? NIST standardized quantum-resistant algorithms, including ML-KEM (formerly CRYSTALS-Kyber), in August 2024. Organizations are preparing for quantum threats expected within five to ten years.

9. Network Detection and Response (NDR) | 14.05% CAGR | $1.6B → $3.5B

NDR platforms use AI to establish behavioral baselines and detect anomalies signaling compromise. Here’s the mindset shift: rather than hoping to prevent all attacks, innovative organizations invest in rapid detection that minimizes damage when sophisticated attackers inevitably get through. Prevention isn’t enough anymore.

10. Vulnerability Assessment | 13.98% CAGR | $2.6B → $5.7B

Cloud infrastructure changes constantly. Quarterly scans are obsolete before they finish. Modern platforms provide continuous scanning in CI/CD pipelines, prioritizing based on real-world exploit data. DevOps teams deploying daily need vulnerability detection that keeps pace. Anything less is theater.

11. Endpoint Protection Platform (EPP) | 13.61% CAGR | $13.5B → $29.1B

The largest category doubles to $29.1 billion as ransomware attacks surge. According to Cyble analysis cited by TechTarget, U.S. ransomware attacks increased by 149% year-over-year in the first five weeks of 2025. Manufacturing led targets with 638 attacks in 2023, per Statista data compiled by Fortinet. Next-gen EPP uses behavioral analytics to stop ransomware before encryption begins—catching what traditional antivirus misses.

12. Secure Web Gateway (SWG) | 13.26% CAGR | $3.3B → $7.0B

Malicious sites appear and disappear in hours. Cloud-delivered SWGs update threat intelligence in real-time, protecting remote workers wherever they connect. Integration with ZTNA creates comprehensive security that follows users across devices and locations. The old perimeter? It no longer exists.

13. Web Application Firewalls (WAF) | 11.93% CAGR | $2.0B → $3.8B

Organizations expose hundreds of APIs, each a potential attack vector. Traditional network firewalls can’t inspect application-layer attacks. Modern WAFs use machine learning to distinguish legitimate users from attackers without blocking customers. Getting that balance right is harder than it sounds.

14. Encryption | 11.90% CAGR | $1.0B → $2.0B

NIST’s standardization of quantum-resistant algorithms signals urgency. Attackers already practice “harvest now, decrypt later”—collecting encrypted data for future quantum decryption. Organizations must transition to post-quantum cryptography now, as full integration takes years. This isn’t theoretical risk anymore.

15. Security Information and Event Management (SIEM) | 11.74% CAGR | $5.8B → $11.3B

AI transforms SIEM from reactive to proactive. Organizations using AI-powered automation save $1.9 million per breach, according to IBM’s newsroom. Machine learning models identify attack patterns and detect zero-day threats before signatures exist, turning security operations into a competitive advantage.

The Investment Thesis behind the numbers

These growth rates reflect three converging realities:

  • Cloud Complexity Is Exponential. With 79% of organizations using multiple cloud providers and managing hundreds of accounts, manual security is mathematically impossible. The 31.23% CAGR for CSPM isn’t optimism, it’s survival.
  • AI Changes Everything. Shadow AI breaches cost $4.63 million, $670,000 more than standard incidents. But AI also powers the defense, with automated security tools reducing breach lifecycles by 80 days. The same technology that creates vulnerabilities offers the best defense.
  • Compliance Costs Are Skyrocketing. Between GDPR, CCPA, and emerging regulations, manual compliance is a liability that grows daily. Automation platforms turn regulatory requirements into competitive advantages.

The Bottom Line

The organizations winning this race aren’t those with the most significant security budgets; they’re those investing in the right categories at the right time. These fifteen segments aren’t just growing fast; they’re defining what modern security architecture looks like.

The message from Gartner’s data is unambiguous: security spending is shifting from reactive to proactive, from manual to automated, from perimeter-based to zero-trust. Organizations still relying on legacy approaches aren’t just falling behind; they’re accepting risks that the market has already priced as unacceptable.

Source: Gartner Information Security Forecast 3Q25 Update (Document G00839334), showing overall market growth from $215.8B (2025) to $322.2B (2029) at 10.55% CAGR