Big data analytics in banking market seen topping $58 billion by 2030

By AI, Created 9:40 AM UTC, May 20, 2026, /AGP/ – The big data analytics in banking market is projected to grow at about 14% a year through 2030, driven by banks’ spending on AI, real-time analytics and personalized services. Asia Pacific is expected to be the largest region, while the U.S. remains the biggest country market.

Why it matters: - Banks are increasing spending on data tools that improve fraud detection, compliance, customer targeting and risk management. - The market is projected to exceed $58 billion by 2030, showing how central analytics has become to digital banking. - Software is expected to remain the largest product segment, which points to continued demand for platforms that can process large financial data sets in real time.

What happened: - The latest industry report projects the global big data analytics in banking market will grow at a 14.1% compound annual growth rate through 2030. - The market is forecast to reach more than $58 billion by 2030. - Asia Pacific is projected to be the largest regional market in 2030 at $22 billion, up from $11 billion in 2025. - The U.S. is projected to be the largest country market in 2030 at $16 billion, up from $8 billion in 2025. - Software is expected to account for 58% of the market, or about $33 billion, in 2030. - The report also segments the market by solution type, deployment mode, organization size and application.

The details: - Asia Pacific’s growth is tied to digital transformation across banking institutions in emerging economies, expanding fintech ecosystems, rising volumes of structured and unstructured financial data, and government support for digital payments and financial inclusion. - The U.S. market is expected to benefit from major global banks and technology providers, broader use of advanced analytics and AI tools, stronger compliance demands, and continued investment in fraud detection, cybersecurity and data governance. - Software demand is supported by advanced analytics platforms, AI and machine learning tools, scalable real-time analysis, digital banking infrastructure investment and cloud-compatible products. - The report identifies data discovery and visualization, advanced analytics, on-premises and cloud-based deployment, large enterprises and SMEs, and applications including fraud detection, risk management, customer behavior analytics, operational optimization and revenue growth marketing analytics. - The broader financial services industry is projected to reach $50,609 billion by 2030, leaving the banking analytics market at nearly 0.1% of total industry value. - Request a free sample of the report - Access the full report

Between the lines: - The report’s growth drivers show banks are moving analytics from a support function to a core operating layer. - AI and machine learning are becoming embedded in everyday banking tasks, not just in specialized risk teams. - Personalized banking is increasingly a revenue strategy as well as a customer-service goal. - The forecast suggests the strongest near-term opportunity sits in software and services that help banks act on data faster.

What’s next: - The report expects data-driven decision-making investments to add about 2.8% annual growth to the market. - Artificial intelligence and machine learning integration is projected to contribute about 2.5% annual growth. - The push for personalized banking services is projected to add about 2.3% annual growth. - Software market value is projected to rise by $16 billion from 2025 to 2030. - Services market value is projected to rise by $12 billion over the same period. - Continued bank investment in cloud-based, AI-powered and real-time analytics tools is likely to shape the next phase of market growth.

The bottom line: - Big data analytics is becoming a core banking priority, with Asia Pacific and the U.S. set to anchor growth through 2030.