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

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

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

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

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

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:
- Gartner’s $247.5B security forecast makes post-quantum firewall refreshes the only upgrade through 2030
- Gartner’s $239B AI forecast: Agentic workflows take half of GenAI model revenue
- Gartner’s $5.95 trillion AI forecast puts the chatbot era on a 2027 deadline
This post is my personal analysis of Gartner’s research and does not represent my employer.
Sources
- Gartner, Forecast: Enterprise Application Software, Worldwide, 2024-2030, 3Q26, Amarendra, Kevin Quinn and others, 22 September 2026, G00862072, including the accompanying dataset.












































