Predictive analytics market seen topping $65 billion by 2030

The Business Research Company says the global predictive analytics market is on track to exceed $65 billion by 2030, driven by AI, machine learning and cloud adoption. Microsoft led the market in 2025, while Asia-Pacific and the U.S. are projected to be the biggest growth engines through the decade.

Why it matters: - Predictive analytics is moving from a niche tool to a core enterprise capability as companies race to improve forecasting, automate decisions and extract more value from data. - The market’s growth reflects broader demand for AI-powered business intelligence across industries including finance, healthcare, retail, logistics and government. - The report’s outlook suggests vendors that can combine AI, cloud and data management will have the strongest advantage through 2030.

What happened: - The Business Research Company projected that the global predictive analytics market will exceed $65 billion by 2030. - The market is forecast to grow at a 26% compound annual growth rate through 2030. - The report said Microsoft Corporation was the global sales leader in 2025 with a 3% share. - Microsoft’s intelligent cloud unit was described as a major driver through Microsoft Azure and related platforms. - The report also said Asia-Pacific will be the largest regional market by 2030, and the United States will be the largest country market.

The details: - The predictive analytics market is part of the broader big data and analytics market, which is forecast to reach about $247 billion by 2030. - Predictive analytics is expected to account for roughly 26% of that broader market. - Within the larger IT industry, predictive analytics is projected to represent close to 0.5% of total market value by 2030. - Solutions are expected to make up 71% of the market in 2030, or about $46 billion. - Services are also expected to expand, with the report projecting the solutions and services segments together will add more than $44 billion between 2025 and 2030. - Cloud-based and on-premises deployment models remain part of the market structure. - The report segments demand by enterprise size, including large enterprises and small and medium-sized businesses. - Industry demand spans BFSI, manufacturing, retail and e-commerce, government and defense, healthcare and life sciences, energy and utilities, telecommunications and IT, transportation and logistics, media and entertainment, and travel and hospitality. - Asia-Pacific is projected to reach $22 billion by 2030, up from $7 billion in 2025, for a 27% CAGR. - The United States is projected to reach $20 billion by 2030, up from $6 billion in 2025, for a 26% CAGR. - The report said the market was moderately fragmented, with the top 10 firms accounting for 12% of revenues in 2025. - Other 2025 share estimates included IBM and Oracle at 2% each, while SAP, Amazon Web Services, SAS Institute, Fair Isaac Corporation, Palantir Technologies and DataRobot each held about 1% or less. - Dataiku held approximately 0.4% of the market. - The report identified three main growth drivers: demand for data-driven decision-making, adoption of AI and machine learning, and wider use of cloud-based analytics. - It said demand for data-driven decision-making contributes about 2.5% annual growth. - It said AI, machine learning and big data adoption contributes about 2.3% annual growth. - It said cloud-based analytics contributes about 2.2% annual growth. - EMeRG introduced Hospital Intel Suite in July 2026, an AI-powered hospital intelligence platform with global coverage. - The platform is designed to help users evaluate opportunities, predict demand and make commercial and investment decisions. - The report listed a broad set of companies active in the market, including Microsoft, IBM, Oracle, SAP, AWS, SAS, FICO, Palantir, DataRobot, Dataiku, Alteryx, Teradata, Strategy, H2O.AI, TIBCO Software, Siemens, MathWorks, SymphonyAI, KNIME and Stratifyd.

Between the lines: - The low concentration of market share suggests no single vendor dominates predictive analytics, leaving room for cloud platforms, niche software providers and AI specialists to compete. - The strongest growth appears tied to companies that can reduce complexity for enterprise buyers through integrated platforms and easier deployment. - AI-enabled vertical tools, such as hospital intelligence platforms, hint at a shift from general analytics toward industry-specific predictive products. - The report’s emphasis on cloud, explainable AI and self-service analytics points to rising buyer demand for speed, transparency and lower barriers to adoption.

What's next: - The market is expected to keep expanding through 2030 as enterprises invest in forecasting, automation and real-time analytics. - Asia-Pacific’s rapid growth will likely attract more vendor investment and regional competition. - U.S. enterprise adoption should continue to support the largest country market position. - The competitive field may keep fragmenting as vendors push partnerships, product updates and geographic expansion.

The bottom line: - Predictive analytics is becoming a mainstream enterprise spend category, and the fastest-growing winners are likely to be cloud and AI platforms that can deliver measurable business outcomes.