Press release
Alternative Data Market Study Explores Industry Growth Toward $49.4 Billion
The alternative data market is poised for remarkable expansion over the coming years as organizations increasingly turn to unconventional datasets to drive smarter financial and business decisions. This field is becoming an integral part of analytics platforms and investment strategies, offering new ways to gain competitive advantages and real-time insights. Below, we explore the market's anticipated growth, leading companies, emerging trends, and key segments shaping its future.Projected Growth Trajectory of the Alternative Data Market
The alternative data sector is expected to surge significantly, reaching a market size of $49.4 billion by 2030. This represents a robust compound annual growth rate (CAGR) of 38.4%. The rapid development is driven by widespread institutional adoption of alternative datasets, a stronger emphasis on real-time financial intelligence, and growing incorporation of AI analytics platforms. Additionally, the growth of data-driven financial ecosystems and a heightened focus on competitive market intelligence further contribute to the market's upward momentum. Prominent trends expected to influence this expansion include the increasing use of non-traditional data sources in financial decision-making, greater reliance on data-driven investment insights, rising demand for real-time business performance metrics, enhanced use of consumer and behavioral analytics, and broader integration of alternative data into risk modeling.
The alternative data market size has grown exponentially in recent years. It will grow from $9.62 billion in 2025 to $13.45 billion in 2026 at a compound annual growth rate (CAGR) of 39.7%. The growth in the historic period can be attributed to rising demand for advanced financial analytics, increasing availability of digital data sources, growth in fintech innovation, expansion of data aggregation platforms, increasing reliance on predictive investment tools.
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Key Companies Leading the Alternative Data Industry
Several major players dominate the alternative data landscape, bringing advanced technologies and extensive datasets to market. Notable companies include Ravenpack International SL, 1010data, Inc., Vortexa Ltd., Eagle Alpha Ltd., Audit Analytics, Thinknum Inc., Thasos Group, Yewno, Inc., Advan Research Corporation, Exante Data, LLC., Eoitek, Sam Technology, WakeData, as well as industry giants such as Oracle, Microsoft, IBM, SAP, Teradata, Amazon Web Services, and S&P Global. Other influential firms consist of Quiver Quantitative, AlphaSense, Kantar, Quandl, InfoTrie, Running Alpha, Unity, Maxilect, accenture* Analytics, Tableau Software, Deep Data Science, Sigma Data Systems, and Preqin Ltd.
Significant Acquisition Enhances BlackRock's Data Capabilities
In a strategic move in July 2024, BlackRock Inc., a leading US investment company, completed the acquisition of Preqin Ltd., a UK-based data provider specializing in alternative investments, for $3.2 billion. This acquisition is designed to strengthen BlackRock's alternatives investment platform by leveraging Preqin's data and technology solutions. The integration will improve BlackRock's offerings in private markets, address the growing demand for comprehensive private market data and analytics, and ultimately create a unified platform connecting public and private market data through standardized benchmarks and analytics.
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Emerging Trends and New Market Opportunities in Alternative Data
Companies in the alternative data space are increasingly forming strategic partnerships to boost technological integration and broaden their market presence. Such collaborations allow organizations to pool expertise and resources to achieve shared objectives more efficiently. For example, in May 2024, Exabel, a Norway-based platform that specializes in alternative data organization and analysis, teamed up with US-based Datos, which provides privacy-compliant, large-scale clickstream data. This partnership enabled Exabel to integrate comprehensive clickstream datasets into its platform, empowering investors to analyze consumer behavior by monitoring web traffic trends. This collaboration enhances investment teams' ability to link web traffic data to company performance indicators, offering actionable insights for more precise KPI predictions and fundamental analysis.
Dominant Segments Within the Alternative Data Market
The report categorizes the alternative data market into several key segments to provide a detailed overview:
1) Data Type: This includes categories such as credit and debit card transactions, email receipts, geo-location (foot traffic) records, mobile application usage, satellite and weather data, social and sentiment data, web scraped data, web traffic, and other data types.
2) Function: Market applications range from investment and portfolio management, risk management and fraud detection, market research and consumer insights, pricing and supply chain optimization, competitive intelligence, product innovation, regulatory compliance, to other use cases.
3) Industry: The market spans sectors including automotive, BFSI (banking, financial services, and insurance), energy, industrial, IT and telecommunications, media and entertainment, real estate and construction, retail, transportation and logistics, among others.
Detailed Subsegments Within Each Data Type
Each data category further breaks down into specialized subsegments such as consumer spending patterns and retail sales insights under credit and debit card transactions; purchase confirmation and consumer behavior analysis from email receipts; store visit analytics and location-based insights within geo-location data; app engagement and user behavior from mobile application usage; crop monitoring and environmental analysis using satellite and weather data; social media trends and brand sentiment in social and sentiment data; competitor pricing and product availability from web scraped data; visitor analytics and traffic sources in web traffic; and various transactional and industry-specific data under other data types.
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