Top 20 Alternative Data & Analytics Providers 2024

This report forms part of the Ranking News Capital Ranking series, which evaluates investment institutions, capital allocators, and financial market infrastructure firms across global capital markets.

Alternative data and analytics providers have become an increasingly important part of the hedge fund infrastructure ecosystem. As public markets become more competitive and traditional financial data becomes widely available, hedge funds seek differentiated information sources that can support investment research, signal generation, portfolio monitoring, and risk assessment.

Alternative data refers to non-traditional datasets and analytical tools that help investors understand corporate activity, consumer behavior, supply chains, digital engagement, employment trends, geospatial activity, credit card transactions, web traffic, app usage, pricing behavior, news sentiment, and other real-world indicators. For hedge funds, these datasets can support both discretionary research and systematic model development.

The category includes transaction data providers, web and app intelligence platforms, geospatial analytics firms, NLP and news analytics providers, expert-vetted data marketplaces, consumer behavior datasets, and analytics platforms that convert raw data into usable investment signals. The strongest providers do not merely collect data; they clean, structure, contextualize, validate, and deliver it in ways that investment teams can use responsibly.

This ranking identifies alternative data and analytics providers whose platforms demonstrate sustained relevance to hedge funds, asset managers, and institutional investors. Rather than evaluating firms solely by data novelty, the objective is to recognize providers with strong dataset quality, investment relevance, analytical usability, compliance standards, and institutional adoption.

Market Overview

The alternative data industry has matured significantly from its early phase, when hedge funds experimented with unusual datasets mainly as a source of research novelty. Today, alternative data has become part of the institutional research stack for many equity long/short funds, quantitative hedge funds, event-driven managers, consumer specialists, technology investors, and multi-strategy platforms.

The value of alternative data depends on several factors. Data must be timely, clean, legally usable, historically consistent, and economically meaningful. A dataset may appear interesting, but it is only useful to hedge funds if it can improve understanding of company fundamentals, market behavior, consumer demand, competitive dynamics, or investment risk.

The industry includes both raw data vendors and analytics providers. Some firms deliver datasets directly through APIs or data feeds, while others provide dashboards, research reports, sector analytics, or derived indicators. Hedge funds often combine several providers to triangulate investment views, validate management commentary, monitor real-time activity, or identify early changes in corporate performance.

Compliance has become central to the sector. Institutional investors increasingly require clear data provenance, privacy safeguards, licensing transparency, and controls around material non-public information risk. Vendors that can meet institutional compliance standards are better positioned than providers relying only on data novelty.

Within this environment, alternative data and analytics providers with differentiated datasets, robust methodology, and strong integration into hedge fund workflows continue to occupy an important role within the broader capital markets infrastructure ecosystem.

Industry Trend — 2024

The alternative data and analytics industry in 2024 reflects a more selective and institutionalized market. Hedge funds no longer treat alternative data as a simple alpha shortcut. Instead, they increasingly evaluate vendors based on methodology, compliance, repeatability, historical depth, signal durability, and integration with existing research workflows.

One major trend is the shift from raw datasets toward decision-ready analytics. Investment teams often lack the time to clean and interpret every dataset manually. Providers that transform raw transaction, web, app, geospatial, or text data into sector-specific indicators and company-level insights are increasingly valuable.

Another trend is the growing use of AI and natural language processing. News, filings, earnings calls, social media, expert transcripts, and web content can now be processed at scale to identify sentiment, themes, event risk, and market-moving developments. However, hedge funds remain cautious about black-box analytics, making transparency and source traceability important.

Consumer and digital economy datasets remain especially important. Transaction data, web traffic, app engagement, pricing intelligence, and location analytics can help investors monitor companies before reported earnings. These datasets are particularly relevant for consumer, technology, fintech, travel, retail, media, and platform-economy strategies.

The industry is also moving toward stronger data governance. As privacy regulation and institutional compliance expectations increase, vendors with clear data sourcing, anonymization standards, licensing controls, and auditability are more likely to maintain long-term hedge fund adoption.

As alternative data becomes more embedded in investment workflows, providers that combine differentiated data with analytical clarity, compliance discipline, and sector-specific usability are expected to remain highly relevant to institutional investors.

Methodology — Core Eligibility Criteria

To ensure structural consistency within the category, firms considered for this ranking were evaluated based on the following eligibility conditions:

• Provides alternative data, non-traditional datasets, investment analytics, or data-derived market intelligence
• Serves hedge funds, asset managers, institutional investors, banks, corporations, or capital markets professionals
• Offers data or analytics relevant to company fundamentals, consumer behavior, digital activity, geospatial trends, news sentiment, pricing, transactions, or market signals
• Demonstrates institutional capabilities across data sourcing, cleaning, methodology, compliance, delivery, and analytics
• Shows sustained relevance among investment analysts, portfolio managers, quantitative researchers, and institutional data teams

General market data terminals, traditional financial statement databases, retail analytics tools, and internal proprietary datasets unavailable to external clients are generally excluded.

Methodology — Ranking Factors

Firms included in the ranking were evaluated using a combination of qualitative and structural considerations rather than short-term product adoption metrics. Key factors considered include:

• Depth and differentiation of alternative datasets
• Relevance to hedge fund research, signal generation, and portfolio monitoring
• Strength of analytics, dashboards, APIs, and workflow integration
• Data quality, historical consistency, methodology transparency, and validation discipline
• Compliance standards, data provenance, licensing clarity, and privacy controls
• Institutional scale, reliability, and delivery infrastructure
• Reputation among hedge funds, asset managers, and professional investors

The objective of the ranking is to identify alternative data and analytics providers whose products maintain sustained relevance within the global hedge fund ecosystem.

The Ranking News Top 20 Alternative Data & Analytics Providers 2024 ranking evaluates institutional data vendors and analytics platforms providing non-traditional datasets, derived indicators, and investment intelligence tools used by hedge funds and professional investors.

The ranking universe consisted of approximately 95 alternative data and investment analytics providers globally, from which 20 institutions were selected for inclusion.

Tier classifications reflect relative institutional positioning within the alternative data and analytics provider segment and do not represent product endorsements or investment recommendations.

Tier I — Leading Alternative Data & Analytics Providers

YipitData

• Headquarters: New York, United States
• Founded: 2013

YipitData is one of the most recognized alternative data and market research providers serving institutional investors. The firm specializes in transforming large-scale alternative datasets into company-level and sector-level insights, particularly across consumer, technology, marketplace, travel, fintech, and digital economy categories. Its platform is widely associated with hedge fund research workflows where investors seek earlier or more granular indicators of company performance.

The firm’s strength lies in converting complex raw data into usable research outputs. Hedge funds often require more than access to data feeds; they need clean, validated, and contextualized analysis that can be compared with reported financial results, management guidance, market expectations, and sector trends. YipitData’s research-oriented model is designed to address that need.

YipitData is especially relevant for equity long/short and consumer-focused investment teams that monitor revenue trends, customer activity, competitive positioning, and demand shifts before earnings announcements. Its institutional reputation reflects its ability to connect alternative data with investment questions rather than simply providing unprocessed datasets.

The firm’s strong hedge fund adoption, analytical depth, and sector coverage support its position as a leading alternative data and analytics provider within the capital markets infrastructure ecosystem.

Earnest Analytics

• Headquarters: New York, United States
• Founded: 2012

Earnest Analytics is a major provider of transaction-based consumer spending data and analytics used by hedge funds, asset managers, corporations, and institutional research teams. The firm is known for converting anonymized transaction datasets into insights on company revenue trends, consumer behavior, market share, customer retention, and category-level demand.

For hedge funds, Earnest Analytics is particularly relevant because consumer transaction data can provide timely signals ahead of reported earnings. Retail, restaurants, travel, fintech, consumer platforms, subscription businesses, and e-commerce companies can all be evaluated through spending patterns when data coverage and methodology are strong. The ability to monitor trends in near real time can help investors test fundamental theses and detect inflection points.

The firm’s value depends on data quality, sample stability, merchant mapping, category classification, and methodology transparency. Institutional investors require confidence that observed spending trends are representative and comparable over time. Earnest Analytics has built relevance by focusing on these analytical requirements and delivering structured insights to professional users.

Its position in the ranking reflects the importance of transaction data within alternative investment research and the firm’s established role in consumer analytics for institutional investors.

Similarweb

• Headquarters: Tel Aviv / New York, Israel / United States
• Founded: 2007

Similarweb is a leading digital intelligence platform providing data and analytics on website traffic, app engagement, digital marketing channels, referral patterns, audience behavior, and online competitive dynamics. For hedge funds, the platform is particularly relevant to sectors where digital traffic and user engagement can serve as indicators of company performance or competitive positioning.

The firm’s data can support research on e-commerce, online travel, streaming, marketplaces, fintech, software, gaming, media, and internet platforms. Hedge funds use digital intelligence to monitor traffic trends, customer acquisition patterns, engagement shifts, geographic growth, and relative market share among competing platforms. These indicators can help investors evaluate whether company narratives align with observable digital behavior.

Similarweb’s strength lies in breadth of digital coverage and usability. Its platform converts large volumes of web and app activity into accessible analytics, allowing investment teams to compare companies, monitor categories, and identify changes in consumer or business behavior. While digital traffic data requires careful interpretation, it remains one of the most widely used categories of alternative data.

Similarweb’s global brand recognition, institutional adoption, and relevance to digital economy research support its position among leading alternative data providers.

Sensor Tower

• Headquarters: San Francisco, United States
• Founded: 2013

Sensor Tower is a leading provider of mobile app intelligence, app store analytics, advertising intelligence, and digital market data. The firm’s platform is widely used to analyze app downloads, revenue estimates, user engagement, market share, advertising trends, and competitive positioning across the mobile ecosystem.

For hedge funds, Sensor Tower is especially relevant to companies whose business models depend on mobile apps, gaming, subscriptions, digital advertising, e-commerce, delivery, fintech, social media, travel, and consumer platforms. App performance can provide early signals of demand trends, product traction, monetization changes, and competitive pressure. In many digital sectors, mobile engagement is one of the most important observable indicators of business momentum.

The firm’s analytics help investment teams monitor company and category performance across geographies and platforms. This is valuable for both discretionary analysts and quantitative researchers seeking structured digital economy indicators. The platform’s strength lies in its specialist focus on mobile ecosystems, where traditional financial datasets often lag real-time changes in user behavior.

Sensor Tower’s institutional relevance, specialized dataset coverage, and importance to technology and consumer investment research support its position among leading alternative data and analytics providers.

RavenPack

• Headquarters: Marbella / New York, Spain / United States
• Founded: 2003

RavenPack is a specialist provider of news analytics, sentiment data, event detection, and natural language processing tools for financial institutions. The firm analyzes large volumes of news and text-based content to generate structured indicators that can be used in investment research, risk monitoring, systematic trading, and market intelligence.

For hedge funds, RavenPack is relevant because news and textual information can move markets quickly. Systematic managers may use sentiment and event signals within quantitative models, while discretionary analysts may use the platform to monitor company events, macro risks, regulatory developments, and thematic narratives. The ability to structure unstructured text is particularly valuable in fast-moving markets.

RavenPack’s strength lies in its focus on financial NLP and machine-readable news analytics. Unlike general news platforms, it is designed to convert text into quantifiable data that can be integrated into trading models, dashboards, and research workflows. This makes it relevant across equities, macro, credit, event-driven strategies, and risk management.

The firm’s long operating history, financial-market specialization, and institutional use cases support its position as a leading alternative data and analytics provider.

Tier II — Established Alternative Data & Analytics Providers

(Alphabetical order)

Advan Research

• Headquarters: New York, United States
• Founded: 2015

Advan Research is an alternative data provider focused on geolocation, foot traffic, consumer behavior, and real-world activity analytics. The firm’s datasets are particularly relevant to investors analyzing retail, restaurants, travel, real estate, entertainment, fitness, and other location-sensitive sectors.

For hedge funds, location data can help monitor changes in store visits, customer activity, market share, regional trends, and recovery patterns before company-reported results become available. These insights can be useful for equity long/short managers, consumer analysts, real estate investors, and event-driven teams assessing operational momentum.

The value of geolocation data depends heavily on sample quality, privacy controls, venue mapping, normalization, and comparability across time. Institutional users require confidence that changes in observed traffic reflect true business trends rather than data artifacts. Advan Research’s relevance comes from its specialization in these real-world activity datasets and its focus on investment applications.

Its inclusion reflects the continued importance of foot traffic and location intelligence within the alternative data ecosystem.

Consumer Edge

• Headquarters: New York, United States
• Founded: 2009

Consumer Edge is a data and analytics provider specializing in consumer transaction data, spending trends, and behavioral insights. The firm serves institutional investors, corporations, and research teams seeking to understand company performance, category dynamics, and consumer activity through anonymized financial transaction datasets.

For hedge funds, Consumer Edge is especially relevant to consumer-facing sectors where revenue trends can be partially inferred from spending behavior. Retail, restaurants, travel, entertainment, fintech, consumer subscription, and online marketplace companies can all be monitored through transaction-based analytics. These insights can support earnings analysis, market share estimates, and competitive benchmarking.

The firm’s platform converts raw transaction information into usable dashboards, company analytics, and sector-level indicators. This matters because investment teams need clean merchant mapping, category classification, and historical consistency to interpret spending signals correctly. Consumer Edge’s relevance is strongest where investors require structured consumer data rather than raw files alone.

Its position in the ranking reflects the importance of transaction analytics as one of the most established and commercially relevant alternative data categories for hedge funds.

Dataminr

• Headquarters: New York, United States
• Founded: 2009

Dataminr is a real-time event detection and information discovery platform that analyzes public data sources to identify breaking news, emerging risks, and market-relevant events. The firm serves financial institutions, corporations, public sector organizations, and risk teams that require rapid awareness of developments across the world.

For hedge funds, Dataminr is relevant because event speed can matter in markets. Macro funds, event-driven managers, commodities traders, risk teams, and trading desks may use real-time alerts to monitor geopolitical events, natural disasters, corporate incidents, social unrest, regulatory developments, and other market-moving information. The value of the platform lies in early detection and filtering of noisy public information.

Dataminr differs from traditional alternative data providers focused on company-level datasets. Its strength is real-time event intelligence rather than historical backtesting data. For institutional investors, this can support risk monitoring, trading awareness, and situational analysis.

The firm’s institutional adoption, event-detection specialization, and relevance to market risk workflows support its position among established alternative data and analytics providers.

Eagle Alpha

• Headquarters: Dublin, Ireland
• Founded: 2012

Eagle Alpha is an alternative data platform and advisory firm that connects institutional investors with alternative data vendors, datasets, and data strategy support. Rather than focusing on one dataset category, the firm plays an important ecosystem role by helping hedge funds and asset managers discover, evaluate, and implement alternative data sources.

For hedge funds, dataset discovery and vendor due diligence can be time-consuming. Investment teams must evaluate data relevance, coverage, history, licensing terms, compliance risks, and integration requirements. Eagle Alpha supports this process through marketplace functionality, vendor intelligence, data sourcing, and advisory services.

The firm is particularly relevant for institutions building or expanding alternative data programs. It helps bridge the gap between data vendors and investment users, especially when firms need to understand which datasets may be useful for specific strategies or sectors. This makes Eagle Alpha part of the infrastructure layer of alternative data adoption.

Its inclusion reflects the importance of data discovery, evaluation, and implementation support within the broader alternative data ecosystem.

Exabel

• Headquarters: Oslo, Norway
• Founded: 2016

Exabel is an analytics platform designed to help investment professionals work with alternative data. The company focuses on transforming complex datasets into usable insights through analytical tools, modeling workflows, dashboards, and data interpretation features for institutional investors.

For hedge funds, Exabel is relevant because the main challenge with alternative data is often not access, but usability. Raw datasets can be large, messy, and difficult to interpret without specialized tools. Exabel helps investment teams analyze data, compare indicators, identify relationships, and integrate alternative data into research workflows.

The platform is particularly useful for discretionary analysts and portfolio managers who want to use alternative data without relying entirely on internal data science teams. It can also support collaboration between fundamental investors and quantitative researchers by making data-derived signals more interpretable.

Exabel’s relevance lies in the analytics layer of the alternative data market. Rather than competing purely as a dataset owner, it helps investors extract value from datasets. This positioning supports its inclusion among established alternative data and analytics providers.

Facteus

• Headquarters: Portland, United States
• Founded: 2010

Facteus is an alternative data provider focused on consumer transaction data, payment insights, and financial behavior analytics. The company provides anonymized spending data and analytics used by investors, corporations, and financial institutions to understand consumer trends and company-level activity.

For hedge funds, Facteus is relevant because payment and transaction data can provide timely insight into revenue trends, customer behavior, and category momentum. Consumer-facing companies often report financial results weeks after activity occurs, while transaction datasets can help investors monitor trends closer to real time.

The firm’s value depends on data coverage, merchant mapping, consistency, compliance, and analytical usability. Hedge funds require transaction datasets that can be interpreted carefully and compared with company-reported figures or sector benchmarks. Facteus’s focus on payments and financial transaction intelligence gives it a meaningful position in this market.

Its inclusion reflects the sustained importance of consumer spending data as a core category of alternative data for equity research, sector analysis, and investment signal generation.

M Science

• Headquarters: New York, United States
• Founded: 2002

M Science is an alternative data-driven research and analytics firm serving institutional investors. The firm is known for combining data science, sector expertise, and investment research to provide insights across technology, consumer, media, telecom, payments, gaming, travel, and other data-rich industries.

For hedge funds, M Science is relevant because it offers more than raw alternative datasets. The firm’s model blends data analysis with analyst interpretation, helping investors understand company trends, competitive dynamics, and sector-level developments. This is valuable for discretionary investment teams that want data-backed research but may not have the internal infrastructure to process every dataset independently.

The firm’s strength lies in its research-oriented approach to alternative data. It can support equity long/short managers, event-driven investors, and sector specialists seeking differentiated perspectives before earnings announcements or strategic inflection points. M Science’s long-standing presence in the institutional research market also contributes to its credibility.

Its inclusion reflects the importance of analytics-driven research providers that convert alternative data into investment-relevant conclusions.

Neudata

• Headquarters: London, United Kingdom
• Founded: 2016

Neudata is a data intelligence and research platform focused on helping institutional investors discover, evaluate, and manage alternative data sources. The firm provides vendor intelligence, dataset research, due diligence support, and data scouting services for hedge funds, asset managers, private equity firms, and corporations.

For hedge funds, Neudata is relevant because the alternative data market is fragmented and difficult to navigate. Investment teams must determine which datasets are credible, legally usable, differentiated, historically consistent, and relevant to their strategies. Neudata helps institutional users understand the vendor landscape and assess potential data sources before committing resources.

The firm plays an ecosystem role similar to a research and intelligence layer for alternative data adoption. It does not need to own every dataset to be valuable; instead, it helps investors make better decisions about data sourcing and implementation.

Neudata’s inclusion reflects the growing importance of data discovery, governance, and vendor due diligence. As alternative data becomes more institutionalized, platforms that help investors evaluate the market have become essential infrastructure.

Orbital Insight

• Headquarters: Palo Alto, United States
• Founded: 2013

Orbital Insight is a geospatial analytics company known for analyzing satellite imagery, geolocation data, and other spatial datasets to generate insights about economic activity, supply chains, infrastructure, and real-world movement. The firm’s platform has relevance for investors seeking indicators beyond traditional financial disclosures.

For hedge funds, geospatial intelligence can support analysis of retail traffic, industrial activity, energy infrastructure, ports, agriculture, transportation, and construction. Satellite and location-derived data can help investors observe physical-world activity at scale, which can be valuable for commodities, consumer, industrials, real estate, and macro strategies.

The challenge with geospatial data is converting imagery and location signals into reliable investment indicators. Orbital Insight’s relevance comes from its focus on analytics rather than raw imagery alone. The firm helps users identify patterns, monitor assets, and interpret spatial signals that may relate to economic or company-specific activity.

Its inclusion reflects the importance of geospatial analytics within the alternative data ecosystem, especially for investors seeking visibility into physical-world trends.

Thinknum Alternative Data

• Headquarters: New York, United States
• Founded: 2014

Thinknum Alternative Data is a web data and alternative analytics provider known for tracking publicly available online information such as job postings, product listings, pricing, app rankings, social media metrics, store locations, and company web activity. These datasets can provide investors with early signals about corporate behavior and operating trends.

For hedge funds, Thinknum is relevant because web-scraped data can reveal changes before they appear in financial statements. Hiring trends may indicate expansion or contraction, product availability may signal supply conditions, pricing changes may reflect competitive pressure, and online activity may provide insight into company strategy.

The firm’s value lies in structuring messy public web data into usable time series and dashboards. This allows investment teams to monitor company-level indicators systematically rather than relying on manual observation. Thinknum is especially useful for technology, consumer, retail, platform, and labor-market-related research.

Its inclusion reflects the importance of web-derived corporate intelligence within alternative data. While web data requires careful validation, it remains one of the most flexible and widely applicable categories for hedge fund research.

Tier III — Specialist Alternative Data & Analytics Providers

(Alphabetical order)

• Apptopia
• Foursquare
• Placer.ai
• RS Metrics
• Veraset

Remarks

Alternative data and analytics providers continue to play an important role within the hedge fund infrastructure ecosystem as investment teams seek differentiated information beyond traditional financial statements, analyst estimates, and market prices. The firms recognized in this ranking represent organizations whose products support data-driven research, signal generation, company monitoring, sector analysis, and risk awareness.

The category includes multiple provider models, including transaction data vendors, digital intelligence platforms, mobile app analytics providers, geospatial analytics firms, web data platforms, NLP and news analytics providers, data marketplaces, and analytics tools that help investors interpret complex datasets. While providers differ in scope and methodology, leading firms share a need for data quality, compliance discipline, institutional delivery, and investment relevance.

Tier classification reflects relative institutional positioning within the alternative data and analytics provider segment. The ranking does not constitute a product endorsement, subscription recommendation, or assessment of future commercial performance.

Organizations included in this ranking may request information regarding authorized use of the Ranking News designation for marketing and communications purposes.

Organizations included in this ranking may request information regarding authorized use of the Ranking News designation for marketing and communications purposes.

Recognition

Organizations included in the Top 20 Alternative Data & Analytics Providers 2024 ranking may request information regarding authorized use of the Ranking News designation badge for marketing and communications purposes.

Recognized institutions may reference the designation in:

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