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Gartner sees 57% of servers in 2,880 large data centers by 2029

Gartner data center forecast 2029 hero graphic: installed servers by site class 2023 to 2029 with large data centers rising from 42% to 57% of all servers, the 2023 and 2025 editions of the large data center site forecast with 535 sites added for 2027, change in servers by site class 2024 to 2029 with large data centers adding 15.9 million and the other four classes losing 5.1 million, and key figures of 2,880 large sites, 17,140 servers per large site, 10.9 servers per rack and 980 large data centers in China
Four views of Gartner’s October 2025 data center sites forecast. Installed servers by site class, 2023 to 2029, with large data centers rising from 42% to 57% of all servers. The 2023 and 2025 editions of the large site count, 535 sites apart for 2027. Change in servers by site class, 2024 to 2029. Key figures on sites, servers per site, servers per rack and China against North America. Click any chart to open it full size. Sources linked below, analysis by softwarestrategiesblog.com.

Gartner’s data center forecast now puts 2,880 large data centers worldwide in 2029. By then it expects them to hold 57% of every server installed anywhere, compared to 44% in 2024. Two years earlier the same forecast put 1,955 large sites in 2027. The new edition puts 2,490 there, a 27% increase for the same year. Every other class of site, whether a single server in a closet or a 500-rack enterprise data center, loses servers through 2029.

The total site count, by comparison, barely moves. Gartner counts 3.46 million data center sites in 2024 and 3.74 million in 2029, a 1.6% compound annual growth rate. Of the 288,000 sites added, 261,000 are single-server sites. The growth that matters is in the large sites, which grow five times faster than the total, from 1,951 to 2,880 at an 8.1% CAGR. The servers move with them.

This post compares the two editions of Gartner’s data center sites forecast, published October 2023 and October 2025. It then places them beside the public counts from Synergy Research Group, JLL, the IEA and Cushman & Wakefield. Each source counts a different unit, so the comparison takes some care. Gartner counts sites and servers. Synergy counts hyperscale facilities and capacity share. JLL and Cushman & Wakefield count gigawatts, while the IEA counts terawatt-hours. All five still point the same way.

Gartner raised its large data center count 27% in two years

Gartner large data center site forecast, 2023 edition versus 2025 edition: the 2027 count rose from 1,955 to 2,490 large sites, up 535 or 27%, with 2,880 large sites by 2029
Large data center sites in the 2023 and 2025 editions of Gartner’s forecast. The 2027 figure rose 535 sites, or 27%, between editions. Sources linked below, analysis by softwarestrategiesblog.com.

Gartner’s 2023 edition of the forecast covered 2021 through 2027 and projected 1,955 large data centers when that window closed. The 2025 edition covers 2023 through 2029 and projects 2,490 large sites in 2027. The two editions overlap for five years, and the gap widens every year. For 2023 the difference is 57 sites. By 2025 it is 238, and for 2027 it is 535.

Gartner defines a large data center as a site with more than 500 racks and more than 15,000 square feet. Both editions use the same definition, so the revision reflects changed expectations. Gartner attributes the growth to AI workloads, from training to inference, through 2027, with the forecast stabilizing in later years.

More large sites, fewer servers in each one

Servers moved far less than sites did between the two editions. The 2023 edition projected 40.6 million servers in large data centers in 2027, and its 2025 successor projects 41.9 million, an increase of only 3.3%. Gartner added 535 large sites to its 2027 count but only 1.3 million servers to fill them.

Divide one by the other and the average large site in 2027 shrinks rather than grows. It falls from 20,758 servers in the 2023 edition to 16,833 in the 2025 edition, a 19% drop. The 2025 edition holds that average flat through the forecast, at 17,155 servers per large site in 2024 and 17,140 in 2029. Density per rack falls too, from 12.2 servers in 2024 to 10.9 in 2029. Rack counts in large sites rise 64% over the period, from 2.75 million to 4.52 million, while server counts rise 47%. An AI server takes more rack space and more power than the box it replaces. So a count of servers understates what is being built.

The total server base was revised down

Worldwide, the 2023 edition projected 82.6 million installed servers in 2027, while the 2025 edition projects 80.0 million, a reduction of 2.6 million. All of that reduction, and more, comes out of the smaller site classes. Enterprise data center servers for 2027 fell from 23.2 million to 21.3 million between editions, and rack and computer room servers fell from 6.6 million to 5.8 million. Gartner’s 2029 figure of 86.2 million servers implies a 2.8% CAGR from 2024. That is far slower than the 8.1% CAGR for large sites because the rest of the base is shrinking.

Only the 2023 edition broke servers into x86 and non-x86 units. It projected non-x86 servers growing from 2.0 million in 2023 to 11.9 million in 2027, with 10.5 million of them in large data centers. The 2025 edition drops that split, as well as the storage and data center switch counts the older edition carried. The dataset now tracks sites, servers and server racks.

Every other site class shrinks

Change in installed servers by data center site class 2024 to 2029 from Gartner: large data centers add 15.9 million servers while enterprise data centers lose 2.16 million, rack rooms 1.46 million, midsize 0.87 million and single server sites 0.64 million
Change in the installed server base by site class, 2024 to 2029. Large data centers add 15.9 million servers while the other four classes lose 5.1 million between them. Sources linked below, analysis by softwarestrategiesblog.com.

Between 2024 and 2029 the installed server base grows by 10.8 million units. Large data centers add 15.9 million, while the other four classes lose 5.1 million between them. Enterprise data centers are the 101 to 500 rack sites that most companies would call their own data center. They lose 2.16 million servers during the period, falling from 23.0 million to 20.8 million. Rack and computer room sites lose 1.46 million, midsize data centers 0.87 million and single-server sites another 0.64 million.

Enterprise data centers multiply while they empty. The number of enterprise sites rises from 6,937 to 7,570, a gain of 633 sites, while the servers inside them fall 9.4%. An average enterprise data center drops from 3,314 servers in 2024 to 2,752 in 2029, a 17% decline. The same pattern holds for midsize sites, which grow from 15,037 to 17,097 while their server base falls 12%.

Large data centers held 42% of installed servers in 2023 by the dataset’s own figures, 44% in 2024 and 48% in 2025. The share crosses 50% in 2026, then reaches 57% in 2029. Measured in racks rather than servers, large sites move from 43% of all server racks in 2024 to 56% in 2029.

China closes in on North America

Large data centers by region 2024 to 2029 from Gartner: China grows from 468 to 980 sites at a 15.9% CAGR, North America from 819 to 1,001, Europe from 387 to 479, with Emerging Asia/Pacific at 15.2% and Middle East and North Africa at 12.0%
Large data center sites by region in 2024 and 2029. China adds 512 large sites, North America adds 182. Sources linked below, analysis by softwarestrategiesblog.com.

North America has the most large data centers in every year of the forecast. It has 819 in 2024 and 1,001 in 2029, a 4.1% CAGR, but its lead narrows every year. China grows from 468 to 980 over the same period, a 15.9% CAGR, and adds 512 large sites against North America’s 182. In 2024 China had 57% as many large data centers as North America. In 2029 it has 98% as many.

Asia/Pacific accounts for two thirds of the revision

Most of the revision landed in one region. The 2023 edition grouped China with the rest of Asia/Pacific outside Japan and projected 563 large data centers for that region in 2027. Its 2025 successor splits the region three ways instead. For 2027 it projects 756 in China, 91 in Emerging Asia/Pacific and 69 in Mature Asia/Pacific, a combined 916. That is 353 more large sites than the prior edition. It accounts for 66% of the 535 sites Gartner added to its 2027 worldwide count. North America’s 2027 figure, by comparison, rose from 845 to 917 over the same two years.

Europe grows from 387 large sites to 479, a 4.3% CAGR. Japan grows from 100 to 132, while Emerging Asia/Pacific more than doubles from 54 to 110 at a 15.2% CAGR. The Middle East and North Africa grows from 25 to 43 at 12.0%. Gartner names the Middle East and Africa the fastest-growing region across all site classes, at a 6.5% CAGR. It credits government initiatives, foreign direct investment and partnerships with hyperscalers. In the dataset, Middle East and North Africa rack and computer room sites more than double, from 15,082 to 33,862. That is the fastest growth of any site class in any region.

On sites above the single-server class, North America still leads, with 165,950 in 2024 against China’s 73,143. China leads on total sites because it has 940,909 single-server sites against North America’s 728,078.

Five counts measure five different things

Data center forecasts compared: Gartner 3.74 million sites and 2,880 large data centers by 2029, Synergy Research 1,360 hyperscale data centers and 67% capacity share by 2031, JLL 200 GW by 2030, IEA 950 TWh by 2030, Cushman & Wakefield 31.7 GW under construction
Five sources count the data center build-out in five different units. Latest and outer-year figures from each. Sources linked below, analysis by softwarestrategiesblog.com.

Gartner counts 2,107 large data centers in 2025, while Synergy Research Group counts 1,360 hyperscale data centers at the end of the same year. The two figures measure different things. Gartner counts any site above 500 racks, whoever runs it, which brings in colocation campuses and the largest enterprise and government sites. Synergy, in contrast, counts facilities operated by the hyperscale cloud and internet companies it tracks. So the 747 sites between the two figures are a rough estimate of how many large data centers are not hyperscale operated.

Synergy’s capacity shares also line up with Gartner’s server shares. Synergy put hyperscale operators at 37% of worldwide data center capacity in mid-2023, 41% in mid-2024 and 48% at the end of 2025, with 67% forecast for 2031. Gartner’s shares for 2023, 2024 and 2025 are 42%, 44% and 48%. The two firms measure different units, one in megawatts of critical load and one in installed servers. Even so, they land within five points of each other in every overlapping year.

Gartner share of servers in large data centers, 42% in 2023 to 57% in 2029, compared with Synergy Research hyperscale share of capacity, 37% in 2023 to 48% in 2025 and 67% by 2031, and enterprise on-premise share falling from 56% in 2018 to 19% by 2031
Gartner’s server share in large data centers and Synergy Research’s hyperscale capacity share, with Synergy’s enterprise on-premise share falling from 56% to 19%. Sources linked below, analysis by softwarestrategiesblog.com.

Enterprise on-premise capacity, in Synergy’s count, has fallen from 56% of the total in 2018 to 32% at the end of 2025. It forecasts 19% by 2031, roughly two points a year. Gartner’s enterprise data center class loses 2.16 million servers over five years, according to the 2025 dataset. Both firms see the enterprise data center shrinking as a share while the buildings themselves remain.

Gigawatts and terawatt-hours tell the same story

JLL’s 2026 Global Data Center Outlook puts worldwide capacity at 103 GW and projects 200 GW by 2030, which works out to a 14% CAGR. Roughly 100 GW of new supply arrives during those five years across colocation, hyperscale and on-premise sites. JLL expects AI workloads to represent half of all data center capacity by 2030, up from about a quarter in 2025. The IEA’s Key Questions on Energy and AI puts data center electricity consumption at 485 TWh in 2025, up 17% in a year. It then projects 950 TWh in 2030, around 3% of global electricity demand. AI-focused data centers grew their electricity use 50% in 2025 and triple it by 2030 in the IEA’s projection.

Cushman & Wakefield’s 2026 Global Data Center Market Comparison reports 31.7 GW under construction worldwide in 2025, up from 12.5 GW in the prior edition. During the same period, planned capacity across the Americas rose from 46.1 GW in 2024 to 191.3 GW at the end of 2025. Synergy’s pipeline of future hyperscale data centers stood at 915 facilities in August 2026, up from almost 800 in April.

Set against those figures, Gartner’s 8.1% CAGR for large sites is the most conservative growth rate in the group. JLL’s capacity doubles in five years, and so does the IEA’s electricity use. Synergy’s hyperscale capacity doubles in three. Gartner’s large site count grows 48% in five years, and its large site server base grows 47%. The difference is the unit rather than the direction. A site count cannot capture a 100 MW campus replacing a 10 MW building on the same ledger line. A server count cannot capture an 8-GPU system replacing a 2-socket x86 box.

How to read the Gartner data center forecast

  • Treat the site count as a floor. Gartner’s 2,880 large sites in 2029 says how many buildings cross the 500-rack line. It says nothing about the power or compute inside them, which is where JLL, the IEA and Synergy see the growth doubling.
  • Watch servers per site, not sites. The 2025 edition cut the expected server count of a 2027 large site by 19% while raising the number of sites 27%. Fewer, denser, more power-hungry systems per site is also the pattern every other source describes.
  • Expect the enterprise class to keep emptying. Gartner has enterprise data centers losing 2.16 million servers, while Synergy has on-premise capacity falling two points a year. New enterprise sites get built, and the workloads still leave.
  • Read the China number with its definition. Gartner’s 980 Chinese large sites in 2029 includes every operator above 500 racks. Synergy’s hyperscale count still puts the United States at well over half of worldwide capacity. Both can be true at the same time.
  • Match the unit before comparing growth rates. An 8.1% CAGR in sites, a 14% CAGR in gigawatts and a doubling of hyperscale capacity in three years describe the same build-out at three different resolutions.
  • Expect the next edition to move again. The 2023 edition undercounted 2027 large sites by at least 535 within two years. So far, nothing in the public pipelines from Synergy or Cushman & Wakefield points to the 2025 edition proving high.

Related comparisons

This post is the third in a series that places published forecasts side by side. AI infrastructure spending forecasts compared (October 22, 2026) covers what the build-out costs. AI revenue gap forecasts compared across Gartner, Goldman, Bain and JPMorgan (October 29, 2026) covers what it has to earn back. This post covers where it gets built. Gartner’s $4.05T AI forecast and Forrester’s Predictions 2027 (November 2, 2026) covers when the spending slows.

Key takeaways

  • Large data centers hold 57% of the world’s servers by 2029. Gartner’s dataset puts sites with more than 500 racks at 44% of installed servers in 2024 and 57% in 2029, when they hold 49.4 million of 86.2 million servers.
  • The large site count reaches 2,880 in 2029. That is up from 1,951 in 2024, an 8.1% compound annual growth rate, while total sites grow 1.6% a year to 3.74 million.
  • Gartner raised its 2027 large data center count by 535 sites in two years. The October 2023 edition had 1,955 large sites for 2027, while the October 2025 edition has 2,490, a 27% increase. The 2027 total server base fell from 82.6 million to 80.0 million at the same time.
  • Every other class of site loses servers. Large data centers add 15.9 million servers between 2024 and 2029, while enterprise data centers lose 2.16 million, rack rooms 1.46 million, midsize sites 0.87 million and single-server sites 0.64 million.
  • China nearly matches North America in large sites by 2029. Gartner’s dataset has China growing from 468 large data centers in 2024 to 980 in 2029, a 15.9% CAGR, while North America grows from 819 to 1,001 and keeps the lead by 21 sites.
  • Hyperscale operators already hold 48% of worldwide capacity. Synergy Research Group counted 1,360 hyperscale-operated data centers at the end of 2025, with a pipeline of 915 more as of August 2026 and a 67% capacity share forecast for 2031.
  • Data center electricity use doubles to 950 TWh in 2030. The IEA projects that figure from 485 TWh in 2025, about 3% of global electricity demand, with AI-focused sites tripling their consumption.

How I built this analysis

The Gartner figures come from the two forecast documents and their accompanying Excel datasets. I used the pivot tables in each dataset to total sites, installed servers and server racks by site class and region, and to calculate shares, differences between editions, compound annual growth rates and servers per site and per rack. The 2023 edition uses seven regions and the 2025 edition uses nine, so the Asia/Pacific comparison combines China, Emerging Asia/Pacific and Mature Asia/Pacific from the 2025 edition to match the older grouping.

Two figures in Gartner’s summary differ from the dataset. The summary says large data centers held 41% of servers in 2024, while the dataset gives 41.5% for 2023 and 44.4% for 2024. I use the dataset values throughout. The summary also gives the Middle East and Africa a 6.5% CAGR, while the dataset’s two sub-regions combined grow at 5.7%. I report Gartner’s stated figure and attribute it, since the two cannot be reconciled from the dataset. Synergy, JLL, IEA and Cushman & Wakefield figures come from the public releases linked below, while the charts are my own work.

More analysis from this blog

This post is my personal analysis of Gartner, Synergy Research Group, JLL, IEA and Cushman & Wakefield research and does not represent my employer.

Sources

Gartner

  • Gartner, Forecast: Data Center Sites, 2023-2029, Worldwide (G00808671), 17 October 2025, including the accompanying dataset.
  • Gartner, Forecast: Data Center Sites, Worldwide, 2021-2027, 2023 Update (G00799095), 31 October 2023, including the accompanying dataset.

Public research and market data

Why Gartner and IDC are $86B apart on 2027 cybersecurity spending

Chart comparing Gartner's and IDC's cybersecurity spending forecasts for 2027: $276.1 billion versus $361.9 billion, an $85.8 billion difference explained by scope, while 2027 growth rates sit within 1.2 points at 11.2 to 12.4 percent
Cybersecurity spending forecasts for 2027 compared. Gartner and IDC are $85.8B apart on market size, yet their 2027 growth rates sit within 1.2 points of each other. Click any chart to open it full size. Sources linked below, analysis by softwarestrategiesblog.com.

Four research firms have now published cybersecurity spending forecasts for 2027. Their numbers do not agree, and the disagreement itself is more instructive than any one total. Gartner’s 3Q26 forecast puts worldwide information security end-user spending at $276.1 billion in 2027. IDC’s latest published figure is $361.9 billion. Omdia has 2026 at $315 billion but keeps its 2027 figure behind a paywall. Forrester surveys the people who hold the budgets instead of sizing the market, and 60% of them expect at least a 5% increase next year.

Put side by side, the spread looks like a dispute about demand. Growth rates say otherwise. Every firm’s 2026 rate lands between 12.7% and 13.6%, while each 2027 rate sits between 11.2% and 12.4%. What separates a $276 billion market from a $362 billion one is what each firm decides to count. This post reconciles the four cybersecurity spending forecasts for 2027, shows where the scope differences come from and identifies the one place where the firms genuinely disagree. That place is the pace of deceleration after 2027.

Five takeaways from the cybersecurity spending forecasts for 2027

  • The 2027 gap is $86 billion, and it is almost entirely definitional. IDC’s $361.9 billion includes security hardware and spans 38 technology markets across 28 industries. Gartner’s $276.1 billion covers 41 categories of security software, security services and network security equipment but no other hardware. Neither firm is wrong. Each draws the market boundary in a different place.
  • Growth is the point of agreement. Gartner has 2026 at 12.7% in constant currency (13.6% in current dollars) and 2027 at 11.2%. IDC’s V2 release has 2026 at 13.2% and its event page has 2027 at 12.4%. Omdia also has 2026 at 13%. Any of the four cybersecurity spending forecasts for 2027 would describe the same healthy, low-teens market.
  • Omdia’s services share is the biggest single difference. Omdia puts services at roughly two-thirds of cybersecurity spending, against a 37.8% services share in Gartner’s forecast. In dollar terms, Omdia’s June 2026 services figure of $204.8 billion is $111 billion above Gartner’s $93.5 billion. That alone is more than the entire gap between the two firms’ totals.
  • The real disagreement is after 2027. Gartner’s constant-currency growth path declines every year, falling from 12.7% in 2026 until it reaches 9.6% in 2030. That is a 10.8% compound rate for 2025 to 2030. IDC describes a “12.5% five-year path to $512.9B by 2030.” By 2030 the two long-range numbers are $140 billion apart.
  • Forrester’s budget signal improved year over year. In its 2027 planning survey, 16% of security decision-makers expect a budget increase above 10%, while 44% expect 5% to 10%. A year earlier the figures were 15% and 40%. Budgets are growing faster in the minds of the people who set them than a year ago.

What each firm’s cybersecurity spending forecasts say for 2026 and 2027

The table below holds the figures each firm has made public, together with the scope that goes with them. Read the scope column first, because the totals mean little without it. Gartner’s number is end-user spending in current dollars from the detailed forecast file. IDC’s figures come from two places. Its V2 Worldwide Security Spending Guide release gives $310.42 billion for 2026. A separate IT Security event page then gives $361.9 billion for 2027 and $512.9 billion for 2030. Omdia’s 2026 figure appears in its October 1, 2026 channel analysis. Forrester’s numbers are survey percentages rather than dollars.

The published figures side by side

Table comparing Gartner, IDC, Omdia and Forrester cybersecurity spending forecasts for 2026 and 2027 with long-range figures, 2026 total bars and scope notes: Gartner $247.5bn and $276.1bn, IDC $310.4bn and $361.9bn, Omdia $315bn for 2026, Forrester 55 percent and 60 percent expecting at least a 5 percent budget increase
What each firm has published for 2026 and 2027, with the scope behind each number. Bars compare the firms’ 2026 totals on their own scopes. Gartner growth rates and CAGR are calculations from the detailed forecast file. Analysis by Louis Columbus, softwarestrategiesblog.com.

One caution on IDC’s published figures

IDC’s own public figures do not fully reconcile. A 2027 total of $361.9 billion that is “up 12.4% year on year” implies a 2026 base of about $322 billion. That is about $11.6 billion above the $310.42 billion in the V2 release. A 12.5% five-year path to $512.9 billion implies a 2025 base near $285 billion, while the V2 growth rate implies $274 billion. The likeliest explanation is that the event page draws on a later version of the guide. I show both as published and treat them as two snapshots rather than one series.

Line chart of Gartner's 2024 to 2030 worldwide security spending forecast against IDC's published points for 2026, 2027 and 2030 and Omdia's 2026 figure, showing gaps of $86 billion in 2027 and $140 billion in 2030
Gartner’s full 2024-2030 series against the points IDC and Omdia have published. The IDC-Gartner gap grows from $86B in 2027 to $140B in 2030. Analysis by Louis Columbus, softwarestrategiesblog.com.

Why IDC’s cybersecurity spending forecasts run $63 billion above Gartner’s in 2026 and $86 billion above in 2027

Start with what each firm counts. Gartner’s forecast is end-user spending across three markets. Security software is $126.9 billion in 2026, security services $93.5 billion and network security equipment $27.0 billion. That equipment is also the only hardware in a forecast Gartner publishes as 41 categories across 47 country and sub-regional rows. The 2026 total still includes $9.0 billion of consumer security software. Once the consumer line is stripped out, the business-only figure is $238.4 billion for 2026 and $266.8 billion for 2027.

IDC built its Worldwide Security Spending Guide on a wider frame. It covers 38 technology markets, including security hardware beyond network appliances, and then slices them by 28 industries and 48 countries. IDC said in March that software would be more than half of its $308 billion 2026 total and grow fastest, at 14%. The October V2 release lifted 2026 to $310.42 billion and the growth rate to 13.2%. That combination means IDC revised 2025 down and 2026 up at the same time.

Both firms tell roughly the same software-led growth story, although about differently sized markets. A $63 billion gap in 2026 that holds its proportion in 2027 is what a fixed scope difference looks like. Demand disagreements leave a different trail. If IDC saw stronger demand than Gartner, the gap would widen quickly. It does widen, but slowly, and almost entirely because of the long-range growth assumption discussed below.

Stacked bar chart showing how Gartner, IDC, Omdia and Forrester each divide cybersecurity spending in 2026: Gartner 51 percent software, 38 percent services, 11 percent network equipment. IDC more than half software. Omdia one-third technology and two-thirds services. Forrester 40 percent software and about 29 percent personnel
Each firm’s 2026 split of cybersecurity spending, in its own categories. Omdia’s two-thirds services share and Forrester’s personnel line have no equivalent in Gartner’s forecast. Analysis by Louis Columbus, softwarestrategiesblog.com.

Omdia’s two-thirds services share is the largest definitional split

Omdia’s $315 billion looks close to IDC’s $310 billion, but it gets there by a different route. Omdia says technology, meaning licenses, subscriptions and appliances, is roughly one-third of cybersecurity spending. Services spanning advisory, design and managed security are the other two-thirds. Its June 2026 figures were $106.4 billion for technology and $204.8 billion for services, out of $311 billion.

Gartner’s forecast inverts that ratio. Software plus network security equipment is $153.9 billion in 2026, $47.5 billion more than Omdia’s technology figure. Gartner’s security services total of $93.5 billion sits $111.3 billion below Omdia’s services figure, and that one difference is larger than the $63.5 billion gap between Omdia’s June total and Gartner’s.

Managed security shows how far apart the definitions sit. Gartner’s Managed Security Services subsegment is $32.3 billion in 2026, with managed detection and response at $11.5 billion of that and security operations at $15.6 billion. Omdia’s managed security services figure for 2026 is $106 billion, growing 14%, as cited by WithSecure’s MSP Cybersecurity Buyer’s Guide from Omdia’s MSSP Trends and Predictions. That one number is larger than Gartner’s entire security services market. Omdia is counting partner-delivered services that Gartner either books as product revenue or leaves outside the forecast.

For anyone selling security services, the implication is simple. Omdia’s figures describe the partner economy, and Gartner’s describe the services revenue that vendors recognize on their own books. Both are real answers, but to different questions.

Paired horizontal bar chart comparing Gartner and Omdia 2026 cybersecurity spending by type: technology $153.9 billion versus $106.4 billion, services $93.5 billion versus $204.8 billion, managed security $32.3 billion versus $106 billion
Gartner and Omdia 2026 figures by type. Omdia counts $111B more in services than Gartner, and its managed security figure alone is larger than Gartner’s total services market. Analysis by Louis Columbus, softwarestrategiesblog.com.

The one real disagreement is how fast growth slows after 2027

Once scope is set aside, the four cybersecurity spending forecasts agree on 2027 and differ on what follows. Gartner’s constant-currency growth falls every year in the 3Q26 file, from 12.7% in 2026 to 11.2% in 2027, 10.4% in 2028, 10.0% in 2029 and 9.6% in 2030, so the compound rate for 2025 to 2030 works out to 10.8%. The market adds $28.7 billion in 2027 and then $96.7 billion over the following three years, which is strong growth on a decelerating path.

IDC’s published path barely decelerates. After 13.2% in 2026 and 12.4% in 2027, the firm describes a 12.5% five-year compound rate to $512.9 billion by 2030. Getting from $361.9 billion in 2027 to $512.9 billion in 2030 requires 12.3% a year for three more years, which is flat growth rather than a slide toward single digits. By 2030 the gap between IDC’s compound rate and Gartner’s year-on-year rate reaches 2.9 percentage points.

Why the 2030 numbers are $140 billion apart

That difference compounds, so the dollar gap widens every year. In 2027 the two totals are $86 billion apart, and by 2030 the distance reaches $140 billion, or about 38% of Gartner’s own 2030 total. Had IDC’s figure grown at Gartner’s rates from 2027 instead, it would reach about $489 billion in 2030. The gap would then be $116 billion, leaving $24 billion that comes from the growth assumption alone.

That leaves the 2028 to 2030 call as a call about AI. Either AI-driven security demand sustains low-teens growth, or platform consolidation and budget pressure pull it toward 10%. Consolidation is the Gartner case, while sustained AI demand is IDC’s. Gartner’s own forecast assumptions also back that reading. By 2029 it expects 52% of organizations to use fewer than 10 cybersecurity tools, up from 21% in 2025, according to Forecast Analysis: Information Security, Worldwide, 2026 (G00838442).

Line chart of year-on-year growth in worldwide security spending showing Gartner's constant-currency path falling from 12.7 percent in 2026 to 9.6 percent in 2030 against IDC's 13.2 percent, 12.4 percent and 12.5 percent five-year compound rate
Growth rates in the cybersecurity spending forecasts for 2027 and beyond. Gartner’s path declines every year through 2030, while IDC’s published points and its 12.5% five-year rate stay above 12%. Analysis by Louis Columbus, softwarestrategiesblog.com.

Forrester measures budgets, not markets, and the mood improved

Forrester built its Budget Planning Guide 2027: Security And Risk Leaders Must Confront The AI Cost Explosion from a survey of more than 2,600 business and technology decision-makers. The guide produces no market size, and that is useful here. Budgets include headcount, training, insurance and now what Forrester calls “token economics,” the inference costs of running AI inside security operations, none of which any vendor forecast counts.

The headline is a modest, consistent improvement. For 2027, 60% of security decision-makers expect their budgets to rise by at least 5%, with 16% expecting more than 10% and 44% expecting 5% to 10%. A year earlier the same questions for 2026 returned 55%, split 15% and 40%. Across all technology decision-makers, 82% expect budgets to rise in 2027, although the regional detail for 2026 showed how uneven that optimism was. Only 9% of North American security leaders expected more than 10% growth, against 14% in Europe and 22% in Asia Pacific.

Forrester’s budget composition data explains why its figures do not map onto Gartner’s or IDC’s cybersecurity spending forecasts for 2027. Citing Information Services Group data for 2025, Forrester says software is about 40% of security budgets. That outpaces hardware and outsourcing combined and, in Forrester’s wording, exceeds personnel-related costs by 11%. Read as percentage points, that puts personnel near 29% of the budget, the second-largest line a CISO carries and one that no market forecast includes. A security budget growing 5% to 10% is consistent with a vendor market growing 11% to 13%, provided staff costs grow more slowly than software and services. Two years of consolidation and automation point that way.

Stacked bar chart of Forrester survey results showing 55 percent of security decision-makers expected at least a 5 percent budget increase for 2026 and 60 percent expect it for 2027, with a side panel showing 9 percent of North American, 14 percent of European and 22 percent of Asia Pacific leaders expecting more than 10 percent growth for 2026
Forrester’s security budget surveys for 2026 and 2027. The share expecting at least a 5% increase rose from 55% to 60%. Analysis by Louis Columbus, softwarestrategiesblog.com.

What Gartner’s CISO research adds to the demand picture

Gartner’s own planning research for the same cycle points the same way, and it adds two cost drivers that none of the market forecasts isolates. CISO Agenda Priority: Align Cybersecurity Investment With Board Risk Appetite (G00862663) states that the cybersecurity challenge “is no longer primarily a budget problem” and that boards are deliberately increasing risk appetite to accelerate AI adoption. The money is there, so the argument is about where it goes.

On staffing, the 2027 Planning Guide for Cybersecurity (G00856222) says the SOC workforce will transform rather than shrink as AI agents arrive. Gartner projects that by 2028 security operations teams will employ 50% more engineers than traditional analysts, which keeps Forrester’s personnel line intact even as vendor spending grows. The Cybersecurity Executive Outlook, 4Q26 (G00861818) reports that 51% of CISOs have not begun any post-quantum cryptography activity and predicts that organizations that do not begin piloting PQC by 2027 will pay 200% higher costs for full migration. Those are reasons for 2027 budgets to keep rising regardless of how a market is scoped.

The securing-AI gap is wider than the market gap

The sharpest divergence between the cybersecurity spending forecasts for 2027 is in the newest category. Gartner’s securing-AI forecast appears in Forecasting the $16.4 Billion Opportunity in Securing AI (G00853861) and carries into the 2Q26 and 3Q26 information security forecasts. It has spending on securing AI at about $3 billion in 2026 before rising to $16 billion in 2030. That implies growth of roughly 52% a year, although from a small base. The category sits inside Gartner’s security software total rather than beside it.

IDC’s IT Security event page states that spending on securing AI will reach $58.3 billion in 2027, “compounding at 37.8% a year.” It calls this “the fastest-moving segment in security.” The source is IDC’s Worldwide Artificial Intelligence Security Spending Forecast, 2025-2029. That 2027 figure is 3.6 times Gartner’s 2030 figure, three years earlier.

A gap of that size comes from definitions. IDC’s event page does not say what the $58.3 billion counts, and its scale points to a far broader set of spending than Gartner’s, plausibly including AI-enabled security tooling and services. Gartner’s securing-AI line covers only the spend on protecting AI models, agents and data. A third number, Gartner’s AI-amplified security forecast, reaches $204 billion by 2030 and is a different construct again. The firm’s February analysis says so itself, stating that AI-amplified security “is not additive spending and will not change security spending” (G00838442). I covered it in an earlier post linked below. Anyone quoting an “AI security market size” needs to say which of these three definitions they mean.

Bar chart comparing Gartner's securing AI forecast of $3 billion in 2026 and $16 billion in 2030 with IDC's $58.3 billion securing AI figure for 2027
Gartner’s securing-AI forecast against IDC’s. IDC’s 2027 figure is 3.6 times Gartner’s 2030 figure, a difference of definition rather than demand. Analysis by Louis Columbus, softwarestrategiesblog.com.

Nearly half of the gap sits in the United States

Regional detail shows where IDC’s extra scope lands. IDC’s March release put the United States at $150 billion for 2026. Gartner’s 3Q26 file has the United States at $119.5 billion, so the $30.5 billion difference is nearly half of the $63 billion gap between the two totals. Gartner then has the US rising to $133.6 billion in 2027 and $181.1 billion in 2030.

Europe is closer than the worldwide totals imply. IDC has Western Europe at $69 billion, while Gartner’s Europe region, which includes Central and Eastern European countries, sums to $64.0 billion. Even a broader Gartner region lands $5 billion below a narrower IDC one. In Asia/Pacific excluding Japan and China, IDC’s $26 billion sits $8.3 billion above the $17.7 billion in Gartner’s Mature and Emerging Asia/Pacific regions combined. As a ratio, that is the widest regional gap of the three. IDC runs at 1.47 times Gartner’s figure there, against 1.26 in the United States and 1.08 in Europe.

The US-heavy gap fits the scope story, because the United States has the deepest market for security hardware, managed services and industry-specific security spending. Those are also the three areas where IDC’s definitions extend furthest beyond Gartner’s.

Dumbbell chart comparing Gartner and IDC 2026 security spending by region: United States $119.5 billion versus $150 billion, Europe $64 billion versus $69 billion for Western Europe, Asia/Pacific excluding Japan and China $17.7 billion versus $26 billion
Gartner and IDC 2026 regional figures. The United States accounts for $30.5B of the $63B gap between the two firms’ worldwide totals. Analysis by Louis Columbus, softwarestrategiesblog.com.

How to use four cybersecurity spending forecasts for 2027 that do not agree

  • Pick the forecast that matches your question, then stay with it. Vendor revenue planning and competitive share analysis belong on Gartner’s end-user spending basis, because that is how most public security vendors are benchmarked. Channel and services strategy belongs on Omdia’s partner-centric total, while hardware-inclusive or industry-vertical sizing belongs on IDC. Switching bases mid-analysis is how a 12% growth market gets misreported as a 30% one.
  • Quote growth rates before you quote totals. The four cybersecurity spending forecasts agree that 2026 grows 12.7% to 13.6% and 2027 grows 11.2% to 12.4%. Those are the defensible numbers, while totals carry scope assumptions that most audiences will not check.
  • Treat 2028 to 2030 as the open question. Gartner’s path heads for 9.6% growth by 2030 while IDC’s stays near 12.5%. Plans built on the IDC trajectory have about $140 billion more market to divide by 2030 than plans built on Gartner. Watch Gartner’s 4Q26 update and IDC’s next guide version for which way the 2028 numbers move.
  • Use Forrester as the demand-side check. The share of security leaders expecting at least a 5% budget increase rose from 55% to 60%. If it keeps rising, the vendor forecasts’ low-teens growth has budget support. A decline would instead make Gartner’s deceleration the base case.
  • Never cite an AI security market size without its definition. $3 billion, $16 billion, $58.3 billion and $204 billion are all current analyst figures for some version of “AI security.” They describe four different things.

Frequently asked questions

What do the cybersecurity spending forecasts say the market is worth in 2027?

Among the published cybersecurity spending forecasts for 2027, Gartner’s is the lowest at $276.1 billion in worldwide information security end-user spending. That is up 11.6% in current dollars and 11.2% in constant currency. IDC’s published figure is $361.9 billion, up 12.4%. The $86 billion difference reflects IDC’s broader scope, which includes security hardware across 38 technology markets, and the two firms’ 2027 growth rates sit within 1.2 points of each other.

Why do IDC’s cybersecurity spending forecasts run higher than Gartner’s for 2027?

IDC’s Worldwide Security Spending Guide counts hardware, software and services across 38 markets, 28 industries and 48 countries. Gartner counts security software, security services and network security equipment in 41 categories. Nearly half of the 2026 gap, $30.5 billion of $63 billion, is in the United States, because hardware, managed services and industry-specific spending are largest there.

What does Omdia forecast for cybersecurity spending?

Omdia’s October 2026 figure is $315 billion for 2026, up 13%, with technology about one-third and services about two-thirds. Its earlier June 2026 breakdown was $106.4 billion for technology and $204.8 billion for services on a $311 billion total. Omdia’s 2027 and five-year figures remain available only to subscribers, unlike its 2026 headline.

What does Forrester say about 2027 security budgets?

In Forrester’s Budget Planning Guide 2027 survey, 60% of security decision-makers expect at least a 5% budget increase for 2027. Of those, 16% expect more than 10% and 44% expect 5% to 10%. The previous year’s survey for 2026 returned 55%, 15% and 40%.

Are the cybersecurity spending forecasts for 2026 and 2027 rising or falling?

For 2026, every firm’s number is higher than when the year began. Gartner’s went from $244.2 billion in 4Q25 to $248.2 billion in 2Q26, then eased to $247.5 billion in 3Q26. IDC’s rose from $308 billion to $310.42 billion, while Omdia’s rose from $311 billion to $315 billion. For the longer range, Gartner forecasts growth slowing to 9.6% by 2030, while IDC’s published five-year rate holds at 12.5%.

How I built this analysis

I computed the Gartner figures from the detailed data file behind Forecast: Information Security, Worldwide, 2024-2030, 3Q26 (G00862059). That file contains 13,489 rows of end-user spending by year, region, country, market, subsegment and category, in both current and constant currency. Its accompanying report confirms the totals and the 2029 and 2030 growth rates, and Forecast Analysis: Information Security, Worldwide, 2026 (G00838442) supplies the forecast assumptions quoted above. CISO and planning-guide statements come from CISO Agenda Priority: Align Cybersecurity Investment With Board Risk Appetite (G00862663), 2027 Planning Guide for Cybersecurity (G00856222) and The Cybersecurity Executive Outlook, 4Q26 (G00861818). Totals, growth rates, segment shares, regional sums and the 2025-2030 CAGR are my calculations from that file. Securing-AI figures come from Forecasting the $16.4 Billion Opportunity in Securing AI (G00853861), as carried into the 2Q26 and 3Q26 forecasts.

Where the IDC, Omdia and Forrester figures come from

IDC figures are as published in its March 3, 2026 press release, its October 28, 2026 blog on the V2 release of the 2026 Worldwide Security Spending Guide, and its IT Security event page. That page cites the spending guide and the Worldwide Artificial Intelligence Security Spending Forecast, 2025-2029. The implied 2026 base of about $322 billion in the event-page series is my calculation rather than an IDC figure.

Omdia figures come from its October 1, 2026 channel analysis as well as the June 2026 figures published by Omdia’s Jay McBain. The managed security figure is as cited by WithSecure from Omdia’s MSSP Trends and Predictions. Forrester figures come from its Budget Planning Guide 2027 press release and coverage, together with its July 2025 Security Planning 2026 blog and its Predictions 2027 release. The Forrester personnel share of about 29% reads Forrester’s statement that software exceeds personnel-related costs by 11% as a percentage-point gap below the 40% software share. Read as a relative 11%, personnel would be about 36%, and either reading leaves personnel as the second-largest budget line.

I built all charts comparing the cybersecurity spending forecasts for 2027 from these figures and labeled each with its sources. Where a figure is an estimate or a derived value, the chart and text say so.

Related comparisons

Sources

This post is my personal analysis and does not represent my employer.

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

Chart from Gartner's 2026 AI spending forecast: embedded chatbot spending peaks at $272.6B in 2027 then declines to $205.8B by 2030 while embedded agentic AI rises to $1,003.6B

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

Table: worldwide AI spending by market, 2025 to 2030, in billions of dollars, from AI infrastructure at $2,792.9B to AI data at $20.7B, grand total $5,950.6B with 27.2% CAGR, Gartner July 2026

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

Table: chatbots versus agentic AI worldwide spending, 2025 to 2030, showing embedded agentic AI growing 62.7% a year to $1,003.6B while embedded chatbots grow 0.6%, Gartner July 2026

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

Table: the 10 fastest-growing AI segments 2025 to 2030, led by synthetic data generation at 142.5% CAGR and DSLMs at 84.5%, with securing AI at 60.4%, Gartner July 2026

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

Table: what Gartner changed between its 1Q26 and 2Q26 AI spending forecasts, with AI infrastructure revised up $136.0B for 2030 and AI services revised down $11.2B

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.

Gartner’s September consolidation research asks whether that infrastructure pays back. I compare its model with Goldman, Bain and J.P. Morgan in AI revenue gap forecasts compared; by my calculation the shortfall in Gartner’s model exceeds $6 trillion through 2032.

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.

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

Analyst on a video call beside monitors showing Gartner's $244.2 billion 2026 security spending forecast and a 17x comparison

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):

Gartner 4Q25 Information Security forecast table of subsegment sizing to 2029, led by cloud security posture management at a 31.3% CAGR

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. Gartner’s 3Q26 forecast carries that logic into hardware, and my analysis of the $247.5 billion security forecast shows post-quantum firewall refreshes as the only hardware upgrade Gartner expects through 2030. 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)