AI and machine learning in business market seen topping $1 trillion by 2030

The Business Research Company says the global market for AI and machine learning in business is on track to exceed $1.015 trillion by 2030, with Asia-Pacific and the U.S. driving much of the growth. The report points to rapid adoption of enterprise AI tools, expanding data volumes and a fragmented competitive field led by Microsoft.

Why it matters: - AI and machine learning are moving from pilot projects to core business infrastructure across industries. - The market’s projected scale suggests AI-enabled software, services and cloud infrastructure will capture a larger share of enterprise technology spending through 2030. - Asia-Pacific and the U.S. are positioned to account for much of the demand, which matters for vendors, investors and enterprise buyers.

What happened: - The Business Research Company released its Artificial Intelligence & Machine Learning in Business Global Market Report 2026 on Oct. 26, 2026. - The report projects the global AI and machine learning in business market will exceed $1,015 billion by 2030. - The market is forecast to grow at a 26% compound annual growth rate through 2030. - Asia-Pacific is expected to become the largest regional market by 2030 at $359 billion. - The U.S. is projected to remain the largest single-country market in 2030 at $284 billion.

The details: - The report places the market inside the broader information technology sector, which is estimated to reach $13,788 billion by 2030. - AI and machine learning in business are expected to represent close to 7% of that total industry value. - The solutions segment is projected to account for 62% of the market by 2030, equal to $632 billion. - Between 2025 and 2030, solutions are expected to add $427 billion in value, while services are expected to add $265 billion. - By 2030, solutions and services together are expected to contribute more than $692 billion in market value. - Key applications include data analytics, predictive analytics, cybersecurity, and supply chain and inventory management. - End users span IT and telecom, BFSI, retail, manufacturing, healthcare and other sectors. - The report says the market is being driven by growing deployment of AI tools, rising enterprise data volumes and broader industry adoption. - AI-enabled tools such as analytics software, intelligent automation, natural language processing systems and predictive maintenance tools are cited as major growth drivers. - Cloud-based AI platforms and low-code and no-code tools are lowering adoption barriers for businesses of all sizes. - The report also points to generative AI, machine learning for fraud detection, customer behavior analysis and supply chain optimization as important demand drivers. - Microsoft Corporation is identified as the market leader in 2025 with a 3% share of global sales. - The top 10 companies together hold about 8% of revenue, underscoring a fragmented market structure. - Other named players include Google, IBM, Salesforce, NVIDIA, Amazon, SAP, Oracle, OpenAI, Palantir, Snowflake, Databricks, Anthropic, C3.ai, Dataiku, UiPath, DataRobot, Cohere, Hugging Face, Scale AI, H2O.ai, Fractal Analytics and Domino Data Lab. - The report says competitive pressure is shaped by fast innovation cycles, open-source AI frameworks and cloud deployment models.

Between the lines: - The market mix suggests demand is shifting toward packaged enterprise AI solutions rather than custom buildouts alone. - A fragmented competitive landscape gives both large cloud vendors and specialized AI firms room to compete, especially in predictive analytics, model operations and workflow automation. - The report’s growth assumptions also imply that regulation, data governance and model accuracy are becoming part of the buying decision, not just technical add-ons. - Amazon Web Services’ April 2024 upgrades to Amazon Bedrock, including Custom Model Import, Model Evaluation tools and Guardrails, are an example of how major vendors are building around responsible AI and enterprise control.

What's next: - The strongest opportunities are expected in AI-powered automation, intelligent workflow optimization, MLOps platforms, AI customization and managed analytics services. - Asia-Pacific growth is likely to be supported by AI automation adoption, startup investment, innovation hubs and government initiatives in China, Japan, India, South Korea and Southeast Asia. - In the U.S., growth is expected to be supported by generative AI adoption, cybersecurity demand and enterprise software integration across healthcare, finance, retail and manufacturing. - Competition is likely to intensify as vendors expand cloud infrastructure, launch new AI copilots and pursue geographic growth. - The report’s new analytical features include market attractiveness scoring, TAM analysis, company scoring matrices, Excel-based forecasting dashboards, hotspots infographics and updated graphics and tables.

The bottom line: - AI and machine learning in business are becoming a large, fast-growing enterprise market, with cloud platforms, automation tools and generative AI shaping the next phase of competition.