PUBLISHER: The Business Research Company | PRODUCT CODE: 1889313
PUBLISHER: The Business Research Company | PRODUCT CODE: 1889313
Big data analytics in banking involves applying advanced data analysis methods, such as machine learning and predictive modeling, to process and interpret large volumes of structured and unstructured financial data. It enables banks to understand customer behavior, detect fraud, optimize risk management, and enhance decision-making. Its primary objective is to improve operational efficiency, deliver personalized customer experiences, and strengthen financial performance through data-driven insights.
The main components in the big data analytics in banking market are software and services. Software refers to specialized applications and platforms that collect, process, and analyze large volumes of banking-related data to generate actionable insights. Solution types include data discovery and visualization and advanced analytics. Deployment modes include on-premises and cloud-based implementations, and organization sizes range from large enterprises or banks to small and medium enterprises or banks. These solutions are applied to use cases such as fraud detection and prevention, risk management and compliance, customer behavior and experience analytics, operational and process optimization, and revenue growth and marketing analytics.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.
The big data analytics in banking market research report is one of a series of new reports from The Business Research Company that provides big data analytics in banking market statistics, including big data analytics in banking industry global market size, regional shares, competitors with a big data analytics in banking market share, detailed big data analytics in banking market segments, market trends and opportunities, and any further data you may need to thrive in the big data analytics in banking industry. This big data analytics in banking market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The big data analytics in banking market size has grown rapidly in recent years. It will grow from $35.56 billion in 2024 to $39.86 billion in 2025 at a compound annual growth rate (CAGR) of 12.1%. The growth in the historic period can be attributed to rising digital banking adoption, growing customer data volume, increasing demand for fraud detection solutions, expanded use of predictive analytics, and higher regulatory compliance requirements.
The big data analytics in banking market size is expected to see rapid growth in the next few years. It will grow to $62.07 billion in 2029 at a compound annual growth rate (CAGR) of 11.7%. The growth in the forecast period can be attributed to rising investments in data-driven decision-making, increasing focus on personalized banking services, expanding adoption of cloud-based analytics platforms, and higher demand for real-time data processing. Key trends in the forecast period include advancements in analytics platforms, innovations in AI-driven financial insights, developments in real-time data visualization tools, research and development in big data algorithms, and growing automation in data management systems.
The increasing adoption of digital banking platforms is expected to drive growth in the big data analytics in banking market. Digital banking platforms are online or mobile services that allow customers to access accounts, perform transactions, and manage finances without visiting branches. Adoption is rising due to demand for convenience, real-time services, and remote banking capabilities. Big data analytics supports digital banking by providing insights into customer behavior, detecting fraud, optimizing personalized services, and enhancing operational efficiency. For example, in September 2025, Open Banking Limited reported that over 15.16 million individuals and businesses were using technology-powered services, with transactions reaching 2.04 billion, a 3.5% increase from June. Therefore, digital banking adoption is driving growth in big data analytics.
Major companies in the big data analytics in banking market are adopting cloud-based analytics platforms, such as fully managed data lakes and AI-enabled cloud services, to improve scalability, flexibility, and operational efficiency. Cloud-based analytics platforms are centralized internet-hosted systems that allow banks to store, process, and analyze large volumes of financial and customer data without on-premises infrastructure, supporting real-time insights and regulatory compliance. In October 2025, Oracle Corporation, a US-based cloud computing company, introduced Oracle Financial Services Analytics Cloud, offering integrated data management, AI-driven predictive models, and seamless API connectivity for core banking systems. The platform allows banks to scale analytics operations rapidly, reduce IT overhead, and improve customer experience with personalized financial services.
In April 2025, Kinective, a US-based provider of banking operations platforms, acquired Datava for an undisclosed amount. The acquisition enables Kinective to integrate advanced, end-to-end data intelligence within its operations suite, allowing financial institutions to unify transactional and customer data and leverage predictive analytics for operational efficiency. Datava is a US-based provider of data aggregation, machine learning dashboards, and predictive banking analytics tools.
Major companies operating in the big data analytics in banking market are Microsoft Corporation, Oracle Corporation, KPMG International Cooperative, NTT DATA Corporation, Capgemini Societas Europaea (Capgemini SE), International Business Machines Corporation (IBM), Wipro Limited, HCL Technologies Limited, Tata Consultancy Services Limited, Accenture Public Limited Company (Accenture plc), Sopra Steria Group, Infosys Limited, Databricks Inc., Experian Public Limited Company (Experian plc), DXC Technology Company, SAS Institute Inc., Palantir Technologies Inc., Equifax Inc., Mphasis Limited, FICO (Fair Isaac Corporation), ThoughtWorks Inc., Cognizant Technology Solutions Corporation, Deloitte Touche Tohmatsu Limited, Neptune Intelligence Computer Engineering Ltd. (NICE), Alteryx Inc., MicroStrategy Incorporated, Teradata Corporation, Snowflake Inc., PricewaterhouseCoopers LLP (PwC), and Ernst & Young Global Limited (EY).
North America was the largest region in the big data analytics in banking market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the big data analytics in banking market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the big data analytics in banking market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The big data analytics in banking market consists of revenues earned by entities by providing services such as data mining, predictive analytics, regulatory compliance monitoring, credit scoring, portfolio optimization, market trend forecasting, data visualization and real-time transaction analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data analytics in banking market also includes sales of analytics software platforms, data management tools, cloud-based analytics systems, business intelligence (BI) dashboards, backup devices, and security hardware systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Big Data Analytics in Banking Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on big data analytics in banking market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for big data analytics in banking ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The big data analytics in banking market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.