The Alternative Data Market is becoming a major component of the global data and analytics ecosystem as organizations increasingly seek information beyond conventional financial, economic, and business datasets. Alternative data refers to non-traditional information generated from sources such as credit and debit card transactions, mobile applications, satellite imagery, social media, web traffic, email receipts, geolocation signals, weather data, and online activity.
The growing availability of digital information, combined with advances in artificial intelligence (AI), machine learning (ML), cloud computing, and big data analytics, is allowing businesses and investors to transform large volumes of unconventional information into actionable insights.
According to Kings Research, the global alternative data market was valued at USD 11.46 billion in 2023, reached an estimated USD 16.16 billion in 2024, and is projected to reach USD 242.23 billion by 2031, expanding at a CAGR of 47.22% between 2024 and 2031.
What Is Alternative Data?
Alternative data is information that is not traditionally included in standard financial statements, government statistics, company reports, or conventional market databases.
For example, an investor researching a retail company may traditionally examine revenue, earnings, inventory, and management guidance. Alternative data can provide additional information by analyzing consumer foot traffic, credit-card spending, online searches, mobile-app activity, social-media sentiment, or website traffic.
This information can provide more frequent and granular indicators of changing consumer and business behavior.
Alternative data is therefore increasingly being used to complement traditional datasets rather than completely replace them.
Key Growth Drivers of the Alternative Data Market
Increasing Demand for Data-Driven Decision-Making
The growing importance of data-driven decision-making is one of the strongest drivers of the alternative data industry.
Businesses increasingly require real-time information to understand customer behavior, identify market opportunities, monitor competitors, optimize operations, and forecast demand.
Traditional datasets may be released monthly, quarterly, or annually. Alternative datasets can sometimes provide information much more frequently, allowing organizations to identify changes earlier.
This is particularly valuable in highly competitive industries where early identification of market trends can influence investment and strategic decisions.
Growing Adoption by Hedge Funds and Asset Managers
Financial institutions have been among the earliest and most important users of alternative data.
Hedge funds, asset managers, private equity firms, and other institutional investors use alternative datasets to identify potential investment opportunities, evaluate companies, monitor markets, and improve portfolio strategies.
According to recent industry research, alternative-data spending in the investment market reached approximately USD 2.8 billion in 2025, representing 17% year-over-year growth.
The growing adoption of alternative data reflects increasing competition among investment firms for differentiated information.
Expansion of Artificial Intelligence and Machine Learning
AI and ML are significantly increasing the value of alternative datasets.
Alternative data can be large, unstructured, and difficult to interpret manually. AI-powered systems can process enormous quantities of text, images, transactions, location information, and behavioral data to identify patterns.
For example, natural-language processing can analyze millions of social-media posts and news articles to measure sentiment, while computer vision can analyze satellite imagery to monitor physical activity.
Recent 2026 industry research indicates that 94% of investment managers surveyed were already using AI or machine learning in their alternative-data research processes.
This growing combination of alternative data and AI is expected to remain a major market trend.
Major Types of Alternative Data
The alternative data market includes a wide range of information sources.
Credit and Debit Card Transactions
Transaction data provides valuable information about consumer spending patterns.
Investors and businesses can analyze aggregated transaction activity to understand changes in consumer demand, spending behavior, retail performance, and economic activity.
According to Kings Research, credit and debit card transaction data represented the largest data-type segment in 2023, generating approximately USD 3.70 billion in revenue.
Social Media and Sentiment Data
Social media generates enormous amounts of information about consumer opinions, brand perception, product trends, and public sentiment.
Businesses can analyze social-media conversations to understand how consumers respond to products, marketing campaigns, companies, and events.
Investment firms may also use sentiment information as an additional signal when evaluating companies and market conditions.
Satellite and Weather Data
Satellite imagery provides information that may not be readily available through traditional datasets.
For example, satellite images can be used to monitor retail parking lots, agricultural activity, construction projects, shipping activity, energy infrastructure, and industrial facilities.
Weather data can also provide valuable insights for sectors such as agriculture, energy, transportation, insurance, and retail.
Mobile Application Usage
Mobile-app data can provide information about user engagement, downloads, active users, session duration, and changes in consumer behavior.
Investors can use these indicators to evaluate the growth trajectory of technology companies or consumer-facing businesses.
Businesses can also use app-related information to benchmark competitors and understand market trends.
Web Traffic and Online Data
Website traffic, search trends, online reviews, product listings, pricing information, and other publicly available digital signals can provide real-time insights into consumer demand.
Web-scraped information can help businesses monitor competitors, product availability, pricing changes, and emerging trends.
Email Receipts
Email receipt data can provide aggregated information about purchases and consumer spending.
When appropriately collected, anonymized, and used in compliance with applicable privacy requirements, such datasets can offer insights into purchasing patterns and product-level demand.
Alternative Data Applications Across Industries
Although the investment industry has historically been a major user, alternative data is expanding across multiple industries.
Banking and Financial Services
The BFSI sector is expected to become one of the largest end-use segments in the alternative data market. Kings Research projects the segment to reach approximately USD 80.20 billion by 2031.
Banks and financial institutions can use alternative data for credit assessment, fraud detection, customer segmentation, risk management, market intelligence, and financial forecasting.
Alternative information can supplement conventional credit histories, particularly when evaluating customers with limited traditional financial records.
Retail and E-Commerce
Retailers can use alternative data to monitor consumer demand, competitor pricing, online searches, foot traffic, product reviews, and purchasing behavior.
Combining these datasets can help retailers optimize inventory, pricing, promotions, and supply-chain planning.
Healthcare and Pharmaceuticals
Healthcare organizations can potentially use alternative datasets to analyze patient behavior, treatment patterns, clinical research trends, and healthcare demand.
Pharmaceutical companies can also use external datasets to monitor market trends, understand disease patterns, assess treatment adoption, and support commercial planning.
Energy and Utilities
Alternative data has applications across the energy industry through satellite imagery, weather information, shipping activity, electricity consumption, and commodity-related datasets.
These sources can help organizations monitor energy demand, infrastructure activity, renewable-energy generation, and market conditions.
Real Estate
Real estate companies and investors can use satellite imagery, property listings, foot-traffic information, construction activity, online searches, and demographic data to evaluate markets and properties.
Alternative datasets can provide more frequent indicators than traditional property-market statistics.
Role of Alternative Data in Investment Management
Investment management remains one of the most important applications of alternative data.
Fund managers increasingly combine traditional financial information with unconventional datasets to develop a broader view of companies and markets.
For example, an investment team evaluating a retailer could combine:
- Credit-card transaction trends
- Website traffic
- Mobile-app activity
- Store foot traffic
- Social-media sentiment
- Online product reviews
- Search trends
- Traditional financial statements
Analyzing these datasets together can provide a more comprehensive understanding of business performance.
The use of multiple data sources is also becoming more sophisticated. Recent 2026 research indicates that data teams are increasingly focused on centralizing public, vendor, market, and alternative datasets so they can be standardized and made accessible to both analysts and AI systems.
North America Leads the Market
North America is currently one of the most developed markets for alternative data.
According to Kings Research, North America accounted for approximately 36.54% of the global alternative data market in 2023, with a market valuation of around USD 4.19 billion.
The region benefits from a mature financial-services industry, strong technology infrastructure, extensive venture investment, and a large ecosystem of alternative-data providers.
The United States is particularly important because of the concentration of hedge funds, asset managers, technology companies, fintech organizations, and data vendors.
Other research estimates also identify North America as the largest regional market, with a reported 65.89% revenue share in 2025 under a broader market definition.
Asia Pacific Offers Significant Growth Opportunities
Asia Pacific is expected to be one of the fastest-growing regions for alternative data.
Kings Research projects the Asia Pacific market to expand at a CAGR of 48.26% during 2024–2031, reaching approximately USD 53.63 billion by 2031.
Countries such as China, India, Japan, South Korea, Singapore, and Australia are expanding their digital economies and financial technology ecosystems.
The region’s large populations, rapidly expanding e-commerce markets, increasing smartphone usage, digital payments, and growing investment industries create significant volumes of alternative data.
Challenges in the Alternative Data Market
Despite its strong growth potential, the alternative data industry faces several challenges.
Data Privacy and Regulation
Privacy is one of the most important concerns.
Alternative datasets may contain information related to individuals, transactions, locations, or online behavior. Data providers and users must therefore ensure that data collection and processing comply with applicable privacy laws and regulations.
Anonymization, consent management, data governance, and responsible sourcing are becoming increasingly important.
Data Quality
Alternative data can be noisy, incomplete, inconsistent, or difficult to interpret.
A dataset may appear valuable but provide limited predictive value if it contains inaccurate information or lacks sufficient historical coverage.
Data buyers therefore need to evaluate data quality, methodology, coverage, consistency, and relevance before integrating a dataset into decision-making processes.
Integration Complexity
Organizations often use alternative datasets from multiple providers. Combining these sources can be difficult because formats, definitions, frequencies, and identifiers may differ.
Recent research identifies combining data from different sources as a major challenge for investment professionals working with alternative data.
Shortage of Skilled Professionals
The growing volume and complexity of alternative data requires professionals with expertise in data engineering, statistics, machine learning, artificial intelligence, and domain-specific analytics.
Kings Research identifies a shortage of professionals skilled in AI, ML, and data analytics as a significant market challenge.
AI and Alternative Data: The Next Growth Phase
AI is expected to transform the alternative data market significantly.
Traditional alternative-data workflows can require analysts to manually collect, clean, evaluate, and integrate information. AI can automate many of these processes.
Large language models can assist with unstructured text, while machine-learning models can identify relationships across large datasets. Computer vision can extract information from satellite and other image-based datasets.
The next phase of the industry is likely to focus on AI-ready alternative data, in which datasets are standardized, enriched, documented, and structured so that both analysts and AI agents can use them efficiently.
This transition is already underway, with investment firms increasingly moving AI projects from experimentation toward production workflows.
Competitive Landscape
The alternative data market includes a diverse range of specialized data providers, analytics companies, financial technology firms, and large financial institutions.
Key companies identified by Kings Research include 1010data, Advan Research, Dataminr, Earnest Analytics, M Science, BlackRock/Preqin, RavenPack, Thinknum Alternative Data, Eagle Alpha, Quiver Quantitative, AlphaSense, Plaid, and MicroBilt.
Competition is increasingly focused on data quality, exclusivity, coverage, analytical capabilities, ease of integration, and AI compatibility.
Providers that can offer unique datasets with strong historical coverage and clear provenance may have a competitive advantage.
Future Outlook
The future of the alternative data market is closely connected to the continued expansion of digital information.
As consumers and businesses increasingly interact through smartphones, websites, digital payment systems, connected devices, social platforms, and online services, the amount of unconventional data generated worldwide will continue to increase.
At the same time, AI and machine learning will make it easier to analyze these datasets at scale.
The market is also expected to move toward greater data centralization. Organizations will increasingly seek platforms capable of combining alternative datasets with traditional financial, operational, and market information.
Data providers are likely to focus on improving transparency around data sourcing, privacy compliance, methodology, and quality. Buyers, meanwhile, are expected to become more selective as the number of available datasets increases.
Conclusion
The Alternative Data Market is rapidly evolving from a specialized information source into an important component of modern analytics and decision-making. The growing use of credit-card transactions, social-media data, satellite imagery, mobile-app information, web traffic, weather data, and other unconventional sources is giving organizations access to insights that traditional datasets may not provide.
Strong demand from financial institutions, expanding AI and ML capabilities, increasing digitalization, and the need for faster decision-making are expected to remain key growth drivers. According to Kings Research, the market is projected to reach USD 242.23 billion by 2031, reflecting the significant growth expected over the coming years.
North America currently represents a major market, while Asia Pacific is expected to experience particularly rapid expansion. Meanwhile, AI-powered analytics, automated data processing, data centralization, and AI-ready datasets are likely to shape the next generation of alternative-data solutions.
As organizations compete for faster and more differentiated insights, alternative data will increasingly become a strategic asset across finance, retail, healthcare, energy, technology, and other industries.
