A new industry report from Mordor Intelligence puts a number on something founders and CTOs have been feeling anecdotally all year: the AI code tools market was worth $9.35bn in 2026, up from $7.37bn in 2025, and is forecast to grow at a 26.23% compound annual rate to $29.96bn by 2031. North America holds the largest share today, at 41.89%, but Asia-Pacific is growing fastest.
The report’s explanation for the acceleration is worth reading closely: it points to foundation models crossing the 92% HumanEval accuracy threshold as the inflection point, the moment AI coding assistants stopped being a pilot-project curiosity and became a default feature built into the IDE. That tracks with what most engineering teams report — the question in 2026 isn’t whether to use AI coding tools, it’s which ones, and how deeply to build them into a team’s workflow.
Why the growth rate matters more than the headline number
A market growing at 26% a year for five straight years doesn’t just mean bigger vendors — it means faster churn in which tools are worth standardising on, more frequent pricing and licensing changes, and a widening gap between teams that have a deliberate AI tooling strategy and teams that are still improvising one tool purchase at a time. Microsoft, GitHub, AWS, Google and OpenAI are named as the market’s major players, which tells you this isn’t a niche corner of software spend any more — it’s a battleground between the biggest platform companies in tech, and the tools that win that battle will shape how software gets built for years.
So what
If your organisation is scoping a new software build, the AI tooling question is no longer separable from the engineering one — which assistants a team uses, how they’re licensed, and how they’re integrated changes cost, delivery speed and code quality outcomes. We build that evaluation into how we scope and deliver projects rather than treating it as a developer’s personal preference. See our AI-assisted development approach, or get in touch if you’re planning a build and want AI tooling factored into the plan from day one.