AI DevOps market seen topping $13.4 billion by 2030

The artificial intelligence DevOps market is projected to jump from $4.98 billion in 2025 to $6.09 billion in 2026, according to The Business Research Company. The report points to cloud adoption, automated delivery, and predictive operations as major drivers, with North America leading now and Asia-Pacific set to grow fastest.

Why it matters: - AI DevOps is becoming a core layer in software delivery as companies push for faster releases, better automation, and fewer outages. - The market’s growth signals rising demand for tools that can help teams build, test, deploy, and monitor software with less manual work.

What happened: - The Business Research Company released its Artificial Intelligence (AI) DevOps Market Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035. - The report values the AI DevOps market at $4.98 billion in 2025. - The report projects the market will reach $6.09 billion in 2026. - The report forecasts the market will climb to $13.48 billion by 2030. - The report says North America held the largest market share in 2025. - The report says Asia-Pacific will be the fastest-growing region through the forecast period. - A free sample is available here. - The full report is available here.

The details: - AI DevOps combines artificial intelligence with DevOps workflows to automate and improve coding, testing, deployment, and monitoring. - The report says the approach can improve efficiency, shorten delivery cycles, support predictive analytics, and enable self-healing systems. - The market’s recent growth is tied to faster software delivery, broader use of continuous integration and continuous delivery, rising software complexity, automated testing and deployment, and a need for more reliable applications. - The report puts the market’s 2025-to-2026 CAGR at 22.4%. - The report forecasts a 22.0% CAGR from 2026 to 2030. - Growth through 2030 is expected to come from AI-powered code optimization, predictive incident detection, autonomous infrastructure remediation, AI model operations platforms, and more intelligent observability. - The report identifies expanding AI-assisted software development, predictive analytics in DevOps, self-healing infrastructure, automated CI/CD pipelines, and advanced monitoring as key trends. - Cloud adoption is a major growth driver because it gives enterprises scalable infrastructure and cloud-native services for faster AI model development, deployment, automation, and monitoring. - Eurostat reported that 52.74% of European Union enterprises used paid cloud services in 2025, up from 2023. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. - The 2026 report package includes market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technology analysis, future trend analysis, and updated graphics and tables.

Between the lines: - The forecast suggests AI DevOps is moving from a niche efficiency play to a broader enterprise software priority. - Cloud infrastructure and AI tooling are reinforcing each other, which may accelerate adoption across development teams and operations functions. - The regional split points to an established U.S. and Canadian base, with faster expansion likely coming from markets still building out cloud and automation maturity.

What's next: - The report’s forecast implies more vendors will compete on AI-assisted development, incident prediction, and automated remediation. - Enterprises are likely to keep adding AI features to DevOps workflows as cloud use expands and software systems grow more complex. - The market’s next test is whether self-healing and autonomous operations can move from promise to standard practice at scale.