AI engineering market seen topping $117 billion by 2030

The Business Research Company says the global artificial intelligence engineering market will climb to more than $117 billion by 2030, driven by automation demand, bigger data pools and heavier government and enterprise spending. Asia-Pacific is projected to be the largest region, while the U.S. is expected to be the biggest single country market. Why it matters: - The artificial intelligence engineering market is projected to become a major software and infrastructure category by 2030. - The report says the market will reach more than $117 billion, or about 13% of the broader AI market. - The category is also expected to represent nearly 0.8% of the global information technology market by 2030. What happened: - The Business Research Company published a 2026 market report on the global artificial intelligence engineering market. - The report forecasts a 40% CAGR for the market through 2030. - The company also released a sample request page and a detailed report page for the study: Request a free sample and Access the detailed report . The details: - Asia-Pacific is forecast to be the largest region in 2030, at $41 billion. - Asia-Pacific market value is expected to rise from $6 billion in 2025, a 45% CAGR. - The report points to digital transformation, government AI strategies, cloud and data center expansion, and public and private R&D spending across China, India, Japan, South Korea and Southeast Asia. - The U.S. is projected to be the largest country market in 2030, at $34 billion. - The U.S. market is expected to grow from $7 billion in 2025, a 38% CAGR. - The report cites hyperscaler R&D spending, semiconductor and GPU infrastructure, federal AI initiatives, commercial adoption of generative AI and large language models, and venture funding as growth drivers. - By solution, software is expected to be the largest segment in 2030, with 48% of the market, or $56 billion. - The software segment is expected to benefit from AI-powered platforms, machine learning and generative AI demand, cloud development environments, and enterprise automation tools. - The market is segmented by technology into deep learning, machine learning, natural language processing and computer vision. - The market is segmented by deployment into on-cloud and on-premise. - The market is segmented by end user into healthcare, automotive and transportation, agriculture, information technology, business management and other users. - The report says software, services and hardware together will add more than $95 billion in market value by 2030. - Over the next five years from 2025 to 2030, software is projected to grow by $46 billion, services by $30 billion and hardware by $19 billion. - The 2026 report adds market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel forecasting dashboards, market hotspot infographics, key technology and future trend analysis, and updated graphics and tables. Between the lines: - The forecast suggests AI engineering is moving from a niche capability to a core enterprise spending category. - The strongest near-term demand appears tied to automation, data availability and compute capacity, which are the same inputs needed to scale generative AI. - The regional split also points to two different growth engines: Asia-Pacific’s broad industrial and government-led expansion, and the U.S. market’s research, startup and hyperscaler concentration. - The report’s disclaimers note that its findings and recommendations are estimates and opinions, not investment guidance. What’s next: - The report expects growth to continue through 2030 as businesses increase AI adoption across core workflows. - Additional upside is likely to come from cloud-based AI development, smarter automation systems and broader integration of AI across healthcare, finance, manufacturing, retail and other sectors. - The company’s research package lineup suggests more follow-on market updates and custom research products are available through its channels.