Data Analytics in Financial Market Report 2026

The data analytics in financial market size has grown rapidly in recent years. It will grow from $16.05 billion in 2025 to $18.5 billion in 2026 at a compound annual growth rate (CAGR) of 15.3%. The growth in the historic period can be attributed to increasing complexity of financial markets, growth of digital financial data sources, rising adoption of business intelligence tools, expansion of algorithmic trading practices, increased focus on data-backed decision-making.

The data analytics in financial market size is expected to see rapid growth in the next few years. It will grow to $32.37 billion in 2030 at a compound annual growth rate (CAGR) of 15%. The growth in the forecast period can be attributed to increasing demand for real-time financial insights, rising investments in ai and machine learning platforms, expansion of cloud-based analytics adoption, growing focus on fraud detection and risk mitigation, increasing regulatory reporting requirements. Major trends in the forecast period include expansion of predictive financial analytics tools, growing adoption of ai-based risk modeling, increasing use of real-time data visualization platforms, rising integration of cloud-native analytics solutions, enhanced focus on data-driven investment strategies.

The rising number of fraud cases in the finance sector is expected to drive growth in the data analytics market for financial services in the coming years. Financial fraud involves deceptive activities such as unauthorized access to funds, data manipulation, or falsification of transactions within banking, investment, or insurance systems. These fraudulent acts can occur through both digital and traditional methods, undermining institutional integrity and eroding consumer trust. The increase in fraud is largely due to the rapid digitization of banking services without equivalent enhancements in security, creating vulnerabilities that sophisticated cybercriminals exploit. Data analytics in finance combats fraud by using advanced algorithms to identify suspicious patterns and anomalies in real time. These tools enable quicker detection of fraudulent activities, reducing financial losses and strengthening security measures. Additionally, they improve compliance and support better decision-making, thereby reinforcing trust in financial institutions. For example, in March 2025, the US Federal Trade Commission (FTC) reported that 38% of fraud cases involved financial loss in 2024, up from 27% in 2023. Consequently, the increasing incidence of fraud is fueling the expansion of data analytics in the financial sector.

Leading companies in the financial data analytics market are developing innovative solutions such as AI-powered predictive analytics platforms to improve real-time decision-making, risk management, and fraud detection. These platforms combine machine learning algorithms, integration of alternative data sources, and cloud-based processing to analyze vast financial datasets for forecasting market trends, detecting irregularities, and optimizing investment strategies with high accuracy. For instance, in July 2025, Anthropic PBC, a US-based AI research company, launched Claude for Financial Services - an enterprise-grade language model featuring constitutional AI safeguards designed to prevent harmful outputs while delivering precise financial analysis. This product addresses critical compliance challenges within banking and investment sectors and reduces the risk of AI hallucinations by 80% compared to traditional large language models (LLMs).

In May 2024, S&P Global Inc., a US-based financial information and analytics provider, acquired Visible Alpha LLC for an undisclosed sum. This acquisition is intended to enhance S&P Global’s investment research capabilities by integrating Visible Alpha’s detailed consensus data and analytics tools into its platforms, thereby increasing value for institutional investors. Visible Alpha LLC is a US-based company specializing in financial data analytics and investment research tools.

Major companies operating in the data analytics in financial market are International Business Machines Corporation, The Bank of New York Mellon Corporation, S&P Global Inc., London Stock Exchange Group plc, Intercontinental Exchange Inc., Nasdaq Inc., LexisNexis Risk Solutions Inc., Dun & Bradstreet Holdings Inc., Morningstar Inc., FactSet Research Systems Inc., EXL Service Holdings Inc., Moody’s Investors Service Inc., Bloomberg Finance L.P., QlikTech International AB, Clearwater Analytics Holdings Inc., Sisense Ltd., Board International SA, Macrobond Financial AB, AlphaSense Inc., QuantConnect LLC.

North America was the largest region in the data analytics in financial market in 2025. Aisa-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data analytics in financial market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the data analytics in financial market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The data analytics in financial market consist of revenues earned by entities by providing services such as portfolio optimization,sentiment analysis, trade surveillance, financial forecasting, and liquidity analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Data analytics in financial market also includes sales of data visualization tools, alternative data feeds, predictive analytics models, risk scoring systems, and real-time analytics dashboards. 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.

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