How Big Is the AI Software Market? A Bottom-Up Estimate Puts It Near $144B
By James Dargan · · 5 min read
The market today
ABOUT THESE FIGURES. Figures are estimates from AI Insider’s AI Market Model, H1 2026 edition, updated Nov. 3, 2026 for Anthropic’s S-1 filing. They are annualized run rates sized from company disclosures, filings and other evidence, with ranges, and are not audited company results. This article is for informational purposes and is not investment advice.
Insider Brief
- AI Insider’s AI Market Model estimates that end customers spent on AI software at an annualized run rate of $143.6 billion in the first half of 2026, within a range of $121.0 billion to $219.0 billion.
- On that estimate, AI software is about 10% of the $1.44 trillion the world spends on software in 2026.
- The estimate is built from 179 company positions, with revenue that vendors earn from each other removed so that each customer dollar is counted once.
Ask how big the AI software market is and the answers run from tens of billions of dollars to several trillion. A Research and Markets report sizes AI software platforms at about $107 billion in 2026, counting services alongside tools. PwC puts the potential addressable market for AI software at $6 trillion. Much of the spread comes down to what each estimate counts: chips, consulting, or the same dollar counted twice as it passes between AI companies.
AI Insider’s AI Market Model, H1 2026 edition, takes a deliberately narrow view: what do end customers pay for AI models, applications and tooling? Its answer is $143.6 billion at an annualized run rate in the first half of 2026. This is the first article in a series on what the model shows and how much confidence each finding deserves.
WHAT DOES THE ESTIMATE COUNT?
The model counts AI software bought by consumers, businesses and the public sector: access to foundation models, AI products sold by cloud and software platforms, AI applications across 16 segments from software engineering to financial services, and the surrounding developer tools.
Consulting, chips, servers, data centers, power and rented cloud computing are excluded because none is software a customer buys to use AI. Advertising revenue is excluded too, since advertisers rather than users pay it. The figure is a run rate: each company’s revenue is taken at its latest reporting date in the first half of 2026 and annualized.
HOW IS DOUBLE COUNTING HANDLED?
When a coding application pays a model developer for the AI inside its product, both companies book revenue, but the customer paid once. The model strips out these flows. Its 179 company positions add up to about $153.8 billion; removing what vendors earn from each other brings the total to $143.6 billion.
HOW MUCH OF SOFTWARE SPENDING IS AI?
Global software spending is about $1.44 trillion in 2026, based on Gartner figures used in the model, which puts AI at roughly 10% of the total. Other benchmarks land nearby: PwC puts global software expenditure at about $1.3 trillion, and Golden Section, citing Gartner, at $1.47 trillion for 2026. The ratio matters because the model projects AI’s share of software spending rather than extrapolating AI revenue growth directly.
HOW CERTAIN IS THE ESTIMATE?
Less certain than a single number suggests. Every company position carries a central, low and high value and an evidence grade. Some come from filings, others are triangulated from several reports, and many smaller ones are modeled from funding, headcount and comparable companies. Summed, they give a range of $121.0 billion to $219.0 billion.
The range is wider on the upside because several large private companies disclose little. The estimate also moves with new information: Anthropic’s S-1 filing in October and November 2026 changed how the model allocates some of its revenue between vendor types, though not the total. The model is refreshed quarterly.
WHO SELLS AND WHO BUYS?
On current estimates, model developers keep the largest share, about 71%, and businesses pay about four of every five dollars. Those splits rest on more assumptions than the total, such as how each developer’s revenue divides between products and sales channels.
Buyer behavior adds context. Simon-Kucher’s Global Software Study 2026 found that 98% of buyers say AI capabilities have met or exceeded expectations, yet only 4% measure AI’s business impact across the enterprise and just 17% describe AI as broadly embedded. Spending is running ahead of proof.
WHERE COULD IT GO?
The model’s base case has AI’s share of software spending rising to about 25% by 2030, which would put end-customer spending at about $564 billion, and to about 37% by 2035, about $1.23 trillion. Lower and higher cases bracket that path; the next article explains all three.
The full report and Excel dataset are available from AI Insider Intelligence.
ABOUT THESE FIGURES. Figures are estimates from AI Insider’s AI Market Model, H1 2026 edition, updated Nov. 3, 2026 for Anthropic’s S-1 filing. They are annualized run rates sized from company disclosures, filings and other evidence, with ranges, and are not audited company results. This article is for informational purposes and is not investment advice.
REFERENCES
- AI Insider, AI Market Model, H1 2026 edition, updated Nov. 3, 2026 (report and dataset). [Link to the AI Market Model page]
- Gartner, global software spending forecast for 2026 ($1.44 trillion), via free reprint, as used in the model.
- Anthropic PBC, Form S-1/A, Amendment №1, Nov. 2, 2026.
- Research and Markets, “Artificial Intelligence Software Platforms Global Market Report 2026,” via GlobeNewswire on Yahoo Finance, Apr. 27, 2026. https://finance.yahoo.com/sectors/technology/articles/artificial-intelligence-software-platforms-global-112000280.html
- PwC UK, “From workflow to work: how AI rewrites the software business model,” June 2026. https://www.pwc.co.uk/services/technology/ai-performance/software.html
- Golden Section, “Investing in Software? You Bet Your Assets: 2026 Addendum,” September 2026. https://www.goldensection.com/investing-in-software
- Simon-Kucher, “AI is creating customer value. Can your business model keep up?” (Global Software Study 2026). https://www.simon-kucher.com/en/insights/ai-creating-customer-value-can-your-business-model-keep
