Top 30 Alternative Data & Analytics Providers 2026

This report forms part of the Capital Ranking Hedge Fund Infrastructure series, which evaluates specialist service providers supporting hedge funds, alternative investment managers, institutional allocators, professional investors, and related capital-markets platforms.

Alternative data and analytics providers supply information that sits outside conventional company filings, earnings calls, analyst estimates, exchange prices, and government statistics. Their sources include consumer transactions, web traffic, app usage, job postings, geolocation, satellite imagery, shipping movements, product prices, public-web records, news, social sentiment, workforce profiles, and environmental observations.

For hedge funds and other institutional investors, these datasets can provide earlier, more granular, or differently constructed evidence about company performance, consumer behavior, physical markets, competitive dynamics, macroeconomic conditions, and emerging risks. The most useful providers do more than collect data: they establish provenance, normalize histories, map observations to investable entities, document methodological changes, and deliver research-ready analytics.

The category includes proprietary dataset owners, analyst-curated research firms, digital and physical-market intelligence platforms, and specialist discovery or evaluation services. This ranking identifies providers with sustained institutional relevance, active market-facing capabilities, differentiated information assets, and a clear role in professional investment research.

Market Overview

Alternative data is now an established component of institutional investment infrastructure. Neudata estimated that investment managers spent approximately $2.8 billion on alternative data in 2025, an increase of 17 percent from the prior year. Its 2026 market analysis covered more than 2,800 datasets, illustrating both the scale of the market and the difficulty of navigating it.

The market remains fragmented by data type and workflow. Transaction-data providers seek to estimate consumer spending and company revenue. App and web-intelligence firms measure digital engagement. Location platforms observe physical visitation, mobility, and points of interest. Workforce providers track hiring, attrition, skills, and organizational development. Commodity specialists reconstruct trade flows, inventories, vessel movements, and industrial activity. Text-analytics firms convert news, filings, and social information into structured signals.

Institutional value depends on much more than novelty. A dataset must have sufficient history, stable collection methods, representative coverage, accurate entity mapping, manageable revision policies, and documented limitations. Investors also need to distinguish a genuine leading indicator from a noisy proxy whose relationship with reported results changes across companies, sectors, and market regimes.

Compliance is inseparable from research quality. Data buyers must understand sourcing rights, consent, privacy safeguards, aggregation, material-nonpublic-information risk, redistribution restrictions, and the conditions under which a dataset may be used. Providers with strong governance and transparent provenance can reduce onboarding friction and support more durable institutional adoption.

The competitive boundary is also broadening. Large financial-data groups have acquired specialist platforms, while independent providers have expanded from raw feeds into dashboards, estimates, research, APIs, cloud delivery, and AI-assisted interfaces. Ownership is therefore less informative than whether the current platform remains active, differentiated, and meaningful to institutional users.

Industry Trend — 2026

The defining 2026 trend is the shift from data acquisition toward data evaluation and integration. Exabel’s 2026 survey found that investment professionals widely use artificial intelligence or machine learning in alternative-data research, yet respondents continued to identify dataset evaluation and the combination of multiple sources as major operational challenges. The constraint is increasingly the ability to determine what the data means, not merely the ability to obtain it.

AI is changing consumption faster than it is changing vendor budgets. Natural-language interfaces can help analysts search datasets, build comparisons, explain movements, and connect observations with company or sector questions. They can also accelerate code generation, cleaning, documentation review, and monitoring. However, AI cannot resolve a biased sample, an undocumented methodology change, weak entity mapping, or an unstable relationship between a proxy and the financial variable it is intended to estimate.

Research-ready delivery is consequently becoming a major differentiator. Analyst-curated reports, precomputed company metrics, standardized historical series, estimates, alerts, and dashboards allow fundamental investors to use alternative data without reproducing an entire data-engineering stack. Quantitative teams still value row-level or event-level feeds, but they increasingly expect cloud-native distribution, detailed metadata, point-in-time integrity, and tools for rapid evaluation.

Consolidation continues to reshape the category. Consumer Edge completed its acquisition of Earnest Analytics in 2025, Sensor Tower integrated data.ai, GlobalData acquired LinkUp, and Energy Aspects completed its acquisition of Kayrros in May 2026. Acquisitions can expand coverage and distribution, but they also require users to monitor product continuity, methodology harmonization, and changes in commercial or technical access.

Physical-world intelligence is gaining importance. Geopolitical disruption, energy-market volatility, climate risk, supply-chain pressure, and uneven official statistics increase demand for vessel tracking, satellite observation, inventory estimation, mobility, point-of-interest, and real-time commodity analytics. These sources are particularly relevant when financial prices react before conventional data can confirm what has occurred.

Finally, the market is not converging on a single universal dataset stack. Neudata reported that the average dataset was used by fewer investment clients in 2025 than in 2024 even as total spending increased. That pattern suggests continued fragmentation and specialization: institutions are combining broad benchmark sources with narrower datasets selected for particular strategies, geographies, and research questions.

Alternative-data category	Typical investment question	Primary validation challenge
Consumer transactions	Are sales, customer counts, ticket sizes, or market shares changing before reported results?	Panel representativeness, merchant mapping, scaling, refunds, and payment-method coverage
Web and digital traffic	Is a company gaining users, engagement, referrals, or digital share?	Traffic estimation, bot filtering, cross-device behavior, and conversion to economic activity
Mobile-app intelligence	Are downloads, usage, retention, and monetization strengthening or weakening?	Platform coverage, panel construction, regional differences, and revenue-estimation methods
Location and mobility	Are stores, venues, properties, or transport networks attracting more physical activity?	Consent, sample drift, point-of-interest mapping, visit attribution, and privacy controls
Workforce and job postings	Is a company expanding, restructuring, changing skills, or reducing labor demand?	Duplicate listings, profile recency, organizational mapping, and occupation classification
News and textual analytics	Are events, sentiment, narratives, or risks changing across companies and markets?	Source quality, entity resolution, language coverage, context, and model drift
Social and market sentiment	Is crowd attention or sentiment moving before price, volume, or demand?	Manipulation, spam, representativeness, sarcasm, and short signal half-life
Shipping and commodity flows	How are physical supply, demand, inventories, trade routes, and disruptions evolving?	Vessel identification, cargo inference, destination changes, storage estimates, and coverage gaps
Satellite and geospatial analytics	What is occurring at facilities, mines, fields, forests, infrastructure, or industrial assets?	Cloud cover, revisit frequency, image interpretation, asset mapping, and ground-truth validation
Pricing and public-web data	Are product availability, discounts, hiring, listings, or corporate activities changing?	Website redesigns, anti-scraping changes, product matching, survivorship, and historical continuity
ESG and reputational intelligence	Are conduct, supply-chain, environmental, or stakeholder risks increasing?	Source bias, event materiality, entity linkage, controversy duplication, and taxonomy consistency
Data discovery and evaluation	Which datasets are relevant, compliant, differentiated, and operationally usable?	Vendor comparability, due diligence, trial design, documentation, and internal ownership

Methodology — Core Eligibility Criteria

Providers considered for this ranking were required to satisfy the following core conditions:

• Provide alternative data, data-derived research, dataset discovery, analytical infrastructure, or market intelligence relevant to hedge funds and institutional investors
• Maintain active products or services supporting company research, portfolio monitoring, macro analysis, commodities, risk assessment, due diligence, or systematic investment workflows
• Demonstrate a clear non-traditional information source, specialist analytical layer, or institutional data-evaluation capability
• Maintain an active market-facing platform with publicly traceable products, operating continuity, and professional client relevance
• Possess sufficient dataset differentiation, methodological depth, analytical usability, geographic or sector coverage, or ecosystem importance to justify inclusion
• Support institutional standards of data governance, provenance, privacy, compliance, security, and methodological documentation

Generic business-intelligence software, traditional market-data terminals without a meaningful alternative-data capability, inactive vendors, unbranded internal bank datasets, and acquired products no longer maintained as identifiable operating platforms were excluded or de-emphasized. A provider did not need to be independent: active subsidiaries and acquired brands remained eligible where their products retain institutional relevance and a recognizable market identity.

Methodology — Ranking Factors

The selected providers were evaluated using a combination of qualitative and structural factors:

• Strength and clarity of alternative-data or data-derived analytics identity
• Relevance to hedge funds, asset managers, private-market investors, banks, research teams, and institutional allocators
• Differentiation, coverage, history, frequency, and continuity of the underlying datasets
• Ability to transform raw observations into research-ready metrics, estimates, signals, dashboards, alerts, or analyst interpretation
• Data provenance, privacy safeguards, compliance controls, methodology transparency, and change management
• Accuracy of company, brand, security, location, asset, vessel, product, and sector mapping
• Geographic breadth and usefulness across developed, emerging, and cross-border markets
• Integration through APIs, files, cloud platforms, terminals, notebooks, analytical applications, and direct research workflows
• Capacity to serve both fundamental and quantitative investment teams
• Client support, evaluation tools, documentation, research expertise, and implementation capability
• Continued product development, AI integration, and relevance to the 2026 institutional data environment
• Long-term influence within the alternative-data and investment-intelligence ecosystem

The assessment universe comprised approximately 120 alternative-data vendors, analytics firms, discovery platforms, and data-derived market-intelligence providers. Thirty institutions were selected.

Tier classifications reflect relative institutional positioning within this specialized ecosystem. They do not constitute a client recommendation, technical certification, investment opinion, or endorsement of any provider, dataset, estimate, or analytical product.

Company Profiles and Further Reference

Firm names appearing in this ranking are linked to their corresponding profiles in The Economy Wiki for companies, where available. These profiles provide additional background on each organization, including its principal activities, sector focus, market positioning, leadership, corporate information, and related rankings and analysis across The Economy Network.

The Economy Wiki profiles are maintained as editorial reference pages and may be updated as new public information becomes available.

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Tier I — Leading Alternative Data & Analytics Providers

Consumer Edge

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

Consumer Edge provides consumer transaction data, shopper analytics, web intelligence, and company-level spending indicators for investors and corporations. Its platform covers large panels of anonymized accounts, thousands of brands, and numerous public-company tickers across several major consumer markets.

The 2025 acquisition of Earnest Analytics expanded the company’s transaction-data scale and analytical capabilities. Consumer Edge has also developed product-level, basket, web-traffic, dashboard, and AI-assisted tools, allowing clients to examine sales, customer behavior, retention, market share, and competitive performance from several complementary perspectives.

Consumer Edge fits Tier I because transaction data remains one of the most important and institutionally established alternative-data categories. Its combined platform, international reach, investment use cases, and continuing product expansion make it a principal benchmark for consumer intelligence.

M Science

• Headquarters: New York, United States
• Founded: 2002, originally as Majestic Research

M Science is a data-driven research and analytics firm that combines dozens of alternative-data sources with sector-specialist analysis. A subsidiary of Jefferies Financial Group, it provides research, dashboards, direct data delivery, and analyst access covering hundreds of public and private companies.

Its model is deliberately interpretive. Rather than asking investment teams to derive every conclusion from raw feeds, M Science analysts triangulate multiple data types, construct company-specific indicators, and connect observed operating trends with competitive and financial questions. The firm also delivers data through APIs, cloud environments, and interactive tools.

M Science fits Tier I because it is one of the most institutionally developed examples of alternative data converted into investment research. Its longevity, analyst depth, multi-source methodology, company coverage, and direct relevance to hedge-fund workflows outweigh the fact that it operates within a larger financial group.

Sensor Tower

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

Sensor Tower provides digital-market intelligence across mobile apps, publishers, advertising, audience behavior, and the wider digital economy. Its products measure downloads, revenue, usage, engagement, retention, advertising activity, and competitive position across markets and platforms.

The acquisition of data.ai expanded its mobile-intelligence scale, customer base, and Asia-Pacific presence, while the earlier acquisition of Pathmatics added digital-advertising intelligence. For investors, the combined platform can support analysis of gaming, streaming, social media, fintech, e-commerce, travel, delivery, subscriptions, and other app-dependent business models.

Sensor Tower fits Tier I because mobile activity is a central observable layer of the modern economy. Its combined enterprise platform, international coverage, investor relevance, and breadth across apps and advertising establish a leading position in digital alternative data.

Similarweb

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

Similarweb is a digital-intelligence company providing estimated website traffic, app engagement, audience behavior, referral sources, search activity, advertising intelligence, and competitive analytics. Its products are used by investors, corporations, marketers, and research teams.

For institutional investors, Similarweb can help evaluate user acquisition, digital market share, geographic expansion, engagement, traffic quality, and competitive momentum across internet, software, e-commerce, media, travel, fintech, gaming, and marketplace businesses. Its accessible interface also allows fundamental analysts to use large-scale digital data without building every analytical layer internally.

Similarweb fits Tier I because of its global coverage, public-market visibility, broad institutional adoption, and importance to digital-economy research. The data requires careful interpretation, but the platform remains one of the category’s principal reference points.

YipitData

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

YipitData is an alternative-data research firm that transforms large datasets into company and sector intelligence for institutional investors and corporate clients. Its coverage spans consumer, technology, marketplaces, payments, travel, e-commerce, software, digital media, and other data-rich industries.

The firm’s central strength is the combination of data engineering and research interpretation. It builds company mappings, cleans and validates observations, constructs estimates, and delivers reports, dashboards, and analyst support designed around investable questions rather than around access to a raw feed alone.

YipitData fits Tier I because it is one of the clearest benchmarks for research-ready alternative data. Its institutional adoption, analytical depth, sector coverage, and direct alignment with fundamental investment workflows give it sustained category authority.

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Tier II — Established Alternative Data & Analytics Providers

(Alphabetical order)

Advan Research

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

Advan Research provides geolocation, foot-traffic, consumer-transaction, and real-estate intelligence. Its products support analysis of retail, restaurants, travel, entertainment, property, and other sectors in which physical activity can illuminate company or asset performance.

The firm combines large-scale mobility observations with point-of-interest mapping and analytical tools. For investors, the usefulness of the platform lies in comparing visitation, catchment areas, customer behavior, location performance, and changes in real-world activity across time.

Advan Research fits Tier II because it maintains a strong investment-facing identity within location intelligence. Its specialized data, expanded real-estate capabilities, and relevance to both public and private markets support established-tier placement.

Bloomberg Second Measure

• Headquarters: New York, United States
• Founded: 2015 as Second Measure; acquired by Bloomberg in 2020

Bloomberg Second Measure provides consumer transaction-data analytics designed for investors. Its platform uses billions of observed purchases to produce daily views of sales, customers, transactions, retention, and company performance across thousands of public and private businesses.

Data is available through Bloomberg workflows as well as aggregated and transaction-level feeds. The combination of daily updates, multi-year history, company mapping, and terminal integration allows analysts to compare observed business activity with reported financial results and market expectations.

Bloomberg Second Measure fits Tier II because it remains an active, identifiable, and institutionally important transaction-data platform. Bloomberg ownership strengthens its distribution and integration and is not a reason to exclude it from an editorial assessment of the category.

Dataminr

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

Dataminr is a real-time event-detection platform that analyzes public information to identify breaking developments, emerging risks, and consequential events. It serves financial institutions, corporations, public-sector organizations, and security or risk teams.

For hedge funds, the platform is relevant to macro, event-driven, commodities, and risk-monitoring workflows in which the timing of an alert can matter. Natural disasters, geopolitical events, corporate incidents, regulatory actions, transport disruptions, and social unrest may affect markets before conventional reporting is complete.

Dataminr fits Tier II because of its scale, institutional adoption, and specialized role in real-time information discovery. Its remit extends beyond investment research, but event intelligence is an important component of the broader alternative-data ecosystem.

Eagle Alpha

• Headquarters: Dublin, Ireland
• Founded: 2012

Eagle Alpha operates an alternative-data aggregation, discovery, advisory, and workflow platform. It connects institutional data buyers with thousands of data products and supports sourcing, evaluation, compliance review, vendor engagement, and implementation.

The company addresses a structural problem in the market: investment firms cannot evaluate a fragmented vendor universe efficiently without dedicated research and process infrastructure. Its marketplace, advisory services, compliance tools, and industry content help institutions build or expand formal alternative-data programs.

Eagle Alpha fits Tier II because it is a central ecosystem provider rather than a single-category dataset owner. Its long market presence, extensive product universe, and direct role in institutional adoption give it established importance.

Facteus

• Headquarters: Portland, United States
• Founded: 2010

Facteus provides consumer credit- and debit-card transaction data, company analytics, spending indicators, and research tools. Its products range from row-level and aggregated feeds to dashboards covering brands, categories, locations, sales trends, and macroeconomic activity.

The firm emphasizes a large panel sourced through financial-institution and fintech relationships. Investors can use the resulting data to monitor revenue direction, transaction counts, average order values, market share, store-level activity, and changes in consumer behavior.

Facteus fits Tier II because it is a substantial specialist in a core alternative-data category. Its institutional focus, dataset scale, product range, and direct relevance to company forecasting support established-tier placement.

Kpler

• Headquarters: Brussels and Paris, Belgium and France
• Founded: 2014

Kpler provides data and analytics across commodities, energy, shipping, freight, trade flows, inventories, refineries, power, and maritime activity. Its platform combines vessel tracking, cargo intelligence, supply-and-demand analysis, and specialist market insight.

Financial traders and hedge funds use physical-market data to evaluate conditions that may not be visible in futures prices or official statistics. Kpler’s coverage of oil, LNG, LPG, dry bulk, metals, power, emissions, and shipping supports macro, commodity, and real-assets research across global markets.

Kpler fits Tier II because it is one of the most developed physical-commodity intelligence platforms. Its differentiated data assets, broad market coverage, acquisitions, and relevance to both financial and physical participants give it greater institutional weight than a narrow shipping-data vendor.

Neudata

• Headquarters: London, United Kingdom
• Founded: 2016

Neudata is a data-intelligence platform helping institutional investors discover, evaluate, and manage alternative and market-data sources. Its Scout and related services provide vendor research, dataset intelligence, compliance support, events, and connections between data buyers and sellers.

The company also produces market-level analysis using its view of thousands of datasets. This gives it a distinctive role in explaining spending patterns, data-category development, buyer demand, regulation, and the effect of artificial intelligence on institutional workflows.

Neudata fits Tier II because data discovery and evaluation are now core infrastructure functions. Its specialist research, buyer network, market visibility, and influence on institutional data programs support an established position.

Placer.ai

• Headquarters: Los Altos, United States
• Founded: 2018

Placer.ai provides location analytics, foot-traffic intelligence, retail and commercial-property data, and physical-market benchmarking. Its platform is used by retailers, property owners, investors, municipalities, and analysts seeking accessible evidence about real-world activity.

For investment research, Placer.ai can support analysis of store performance, consumer visitation, competitive positioning, tenant strength, regional demand, and location portfolios. Dashboards and property-level tools make physical-world indicators accessible to fundamental users as well as data specialists.

Placer.ai fits Tier II because it has become one of the most visible and broadly adopted modern location-intelligence platforms. Its usability, commercial reach, and relevance across consumer and property research justify established-tier placement.

RavenPack

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

RavenPack provides financial news analytics, event data, sentiment signals, job analytics, filings, transcripts, and AI-enabled research infrastructure. Its technology converts large volumes of text into structured information for systematic trading, fundamental research, risk management, and market monitoring.

The firm has extended its established natural-language-processing franchise through Bigdata.com and AI-assisted research tools. These products allow users to search, analyze, and combine financial text while retaining access to structured datasets for model development and testing.

RavenPack fits Tier II because it is one of the longest-standing and most influential specialists in machine-readable financial text. Its narrower focus relative to the broad Tier I consumer and digital platforms is offset by deep capital-markets expertise and strong institutional use.

Vortexa

• Headquarters: London, United Kingdom
• Founded: 2016

Vortexa provides real-time data and analytics on energy cargoes, vessel movements, freight, storage, flows, and physical-market balances. Its platform is designed for traders, analysts, shipping participants, and financial institutions operating across global energy markets.

The company combines satellite and maritime observations, vessel and cargo modeling, data science, and analyst interpretation. Investors can use the platform to monitor crude oil, refined products, LNG, LPG, freight conditions, regional dislocations, and changes in physical supply and demand.

Vortexa fits Tier II because it has developed a strong specialist identity in energy and freight intelligence. Its real-time focus, global coverage, and integration of data with market analysis make it a meaningful institutional counterpart to broader commodity platforms.

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Tier III — Specialist Alternative Data & Analytics Providers

(Alphabetical order)

Apptopia

• Headquarters: Boston, United States
• Founded: 2011

Apptopia provides mobile-app performance and consumer-activity data covering downloads, usage, engagement, retention, revenue estimates, and market share. Its services are used by investors, brands, publishers, and research teams analyzing app-dependent businesses.

The platform is particularly relevant to gaming, delivery, travel, fintech, streaming, social, subscription, and marketplace companies. Apptopia also supports institutional datasets through its relationship with YipitData, extending the reach of its mobile intelligence.

Apptopia fits Tier III because it remains a credible and active mobile-data specialist. Its narrower scale relative to Sensor Tower supports specialist classification while preserving its relevance to app-focused investment research.

BattleFin

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

BattleFin operates alternative-data discovery, marketplace, evaluation, and industry-event platforms. It connects institutional data buyers with vendors and provides tools intended to reduce the time required to identify relevant datasets and understand their potential investment applications.

Its role is ecosystem-oriented. Hedge funds and asset managers can use the platform to review providers, compare signals, conduct discovery work, and engage with data owners before allocating technical and compliance resources to a full evaluation.

BattleFin fits Tier III because it is more data-market infrastructure than a proprietary dataset owner. Its long presence and connectivity remain relevant, but its institutional role is more specialized than that of the upper-tier discovery platforms.

Exabel

• Headquarters: Oslo, Norway
• Founded: 2016

Exabel provides an alternative-data analytics and workflow platform for portfolio managers, analysts, data scientists, data strategists, and vendors. Its tools support data discovery, evaluation, KPI analysis, dashboard construction, and the integration of external datasets into fundamental research.

The company addresses the usability gap between raw data and investment judgment. It allows discretionary teams to examine alternative indicators without building every analytical component internally, while providing data specialists with tools for testing and collaboration.

Exabel fits Tier III because it represents an important analytical layer within the ecosystem. Its focused platform and investor orientation are distinctive, although its institutional scale remains below the broader research and discovery platforms in Tier II.

Foursquare

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

Foursquare is a location-technology company providing point-of-interest data, visitation analytics, geospatial tools, and enterprise location intelligence. Its origins in a consumer application have developed into a broader infrastructure and data platform serving advertising, mapping, analytics, and business users.

For investors, the platform can support research on physical visitation, venue classifications, store networks, customer movement, and location-dependent companies. Dataset value depends on careful use of samples, privacy controls, and venue mapping.

Foursquare fits Tier III because it remains a substantial location-data platform, but investment research is one use case within a wider enterprise business. Specialist placement reflects that breadth while recognizing its dataset scale.

Kayrros

• Headquarters: Paris, France
• Founded: 2016

Kayrros provides energy and environmental intelligence derived from satellite imagery, geospatial data, artificial intelligence, and domain analysis. Its products monitor energy infrastructure, crude inventories, industrial demand, construction, methane, renewables, forests, climate risks, and other physical assets.

Energy Aspects completed its acquisition of Kayrros in May 2026. The combination joins Kayrros’ ground-observation capabilities with a larger energy-market research and data platform, while Kayrros continues to operate as a visible product and technology brand.

Kayrros fits Tier III because it offers differentiated physical-world intelligence across energy and environmental markets. Its recent acquisition changes its institutional context but does not remove the relevance of its active geospatial platform.

LinkUp

• Headquarters: Minneapolis, United States
• Founded: 2001

LinkUp provides global job-posting and labor-market data collected from employer websites. Its products support capital-markets research, macroeconomic analysis, workforce intelligence, corporate strategy, academia, and public-sector applications.

Job openings can provide evidence about company expansion, skill demand, geographic investment, sector momentum, and changes in labor-market conditions. LinkUp offers raw data, feeds, indices, forecasts, and analytical products designed to make these observations usable at company and economy level.

LinkUp fits Tier III because it is a long-established specialist in employment data. Its 2024 acquisition by GlobalData expands distribution while preserving an identifiable platform relevant to capital-markets and macro research.

Measurable AI

• Headquarters: Hong Kong
• Founded: 2018

Measurable AI provides consumer and digital-economy intelligence derived principally from permissioned e-receipt data. Its coverage emphasizes e-commerce, food delivery, ride sharing, gaming, travel, entertainment, and mobile activity across Asia and other growth markets.

The platform offers an important geographic complement to transaction datasets concentrated in the United States or Western Europe. Investors can use its observations to compare platforms, estimate order volumes and spending, evaluate market share, and monitor consumer behavior in digitally intensive sectors.

Measurable AI fits Tier III because of its differentiated Asia-Pacific coverage and clear alternative-data identity. Its narrower scale supports specialist placement, while its regional relevance adds meaningful diversity to the ranking.

QuantCube Technology

• Headquarters: Paris, France
• Founded: 2013

QuantCube Technology develops macroeconomic and commodity nowcasts using alternative data, artificial intelligence, natural-language processing, satellite information, prices, job postings, and other high-frequency sources. Its products seek to estimate economic conditions before official releases.

For macro funds, asset allocators, and economists, real-time indicators can help assess inflation, consumption, industrial production, labor demand, trade, and commodity conditions. The platform’s value lies in combining heterogeneous observations into structured and frequently updated measures.

QuantCube fits Tier III because it is a focused European specialist in alternative-data nowcasting. Its analytical depth and macro relevance are substantial, although its product scope is narrower than the multi-category platforms above.

RepRisk

• Headquarters: Zurich, Switzerland
• Founded: 1998

RepRisk provides data and intelligence on business conduct, reputational risk, environmental, social, governance, and supply-chain controversies. Its platform analyzes public sources across languages and connects adverse events with companies, projects, sectors, and locations.

Investors use this information for screening, due diligence, risk monitoring, engagement, private-market assessment, and portfolio oversight. The approach differs from company self-reporting by emphasizing external observations and reported conduct rather than stated policies alone.

RepRisk fits Tier III because it is an established specialist in a distinct alternative-data category. Its long history, multilingual coverage, and institutional relevance are strong, while its focused risk mandate supports specialist classification.

Revelio Labs

• Headquarters: New York, United States
• Founded: 2018

Revelio Labs provides workforce intelligence built from large volumes of employment profiles, job postings, compensation information, organizational records, and labor-market data. Its products analyze hiring, attrition, skills, workforce composition, organizational structure, and company development.

The platform can support both company-level and macroeconomic research. In 2026, its public labor statistics offered monthly measures covering employment, openings, hiring, attrition, salaries, and layoff notices, illustrating how private workforce data can complement traditional surveys.

Revelio Labs fits Tier III because it is a prominent specialist in a fast-growing data category. Its workforce depth and current product development give it strong relevance, while its concentrated mandate remains narrower than the upper-tier platforms.

RS Metrics

• Headquarters: Stamford, United States
• Founded: 2011

RS Metrics provides satellite-derived and geospatial intelligence related to industrial facilities, commercial activity, metals and mining, climate exposure, environmental conditions, and physical assets. Its products serve investors, corporations, ratings organizations, and other institutional users.

Satellite observation can reveal changes that are difficult to capture through company disclosures, including activity at plants, mines, storage sites, and commercial properties. The firm converts imagery and asset-level mapping into time series and indicators intended for financial and risk applications.

RS Metrics fits Tier III because it offers differentiated geospatial expertise with direct institutional relevance. The platform is narrower than the large digital and transaction-data providers but adds an important physical-assets dimension.

SafeGraph

• Headquarters: Denver, United States
• Founded: 2016

SafeGraph provides point-of-interest, geometry, address, and location-related datasets used in investment research, retail analytics, real estate, mapping, insurance, and other data-intensive applications. Its products organize places, brands, building footprints, and geographic attributes into standardized data.

For investors, point-of-interest and location data can support store-network analysis, competitive density, openings and closures, property research, geographic exposure, and the attribution of spending or mobility signals to physical locations. The platform emphasizes developer access and integration with common cloud environments.

SafeGraph fits Tier III because it is a recognized specialist in high-quality location reference data. Its role is often foundational rather than interpretive, making specialist placement appropriate within a ranking that also includes research-ready analytics providers.

Social Market Analytics

• Headquarters: Naperville, United States
• Founded: 2011

Social Market Analytics provides machine-readable sentiment, attention, and social-media indicators for equities, exchange-traded funds, currencies, commodities, and other traded assets. Its products are designed for quantitative research, trading models, risk systems, and market monitoring.

Social signals can capture rapid changes in investor attention or public perception, but they are also vulnerable to noise, manipulation, duplication, and short signal half-lives. The firm’s value lies in filtering, entity mapping, scoring, and delivering normalized measures for financial use.

Social Market Analytics fits Tier III because it is a long-running specialist in social-derived market data. Its focused signal category is narrower than diversified text-analytics platforms, but it remains directly relevant to systematic investment workflows.

Thinknum Alternative Data

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

Thinknum Alternative Data collects and structures public-web information such as job listings, employee counts, store locations, product assortments, prices, discounts, app ratings, social metrics, and other indicators of corporate activity.

The platform turns changing web content into historical datasets, company profiles, screeners, and APIs. Investors can use these observations to monitor hiring, expansion, product strategy, inventory, pricing, and other operating signals before they appear in formal financial reports.

Thinknum fits Tier III because web-derived corporate intelligence remains a flexible and widely applicable alternative-data category. Its broad dataset catalog and investment orientation are meaningful, although its institutional reach is below the leading research platforms.

Veraset

• Headquarters: San Francisco, United States
• Founded: 2016

Veraset provides privacy-conscious mobility and location data covering population movement, visitation, journeys, and real-world behavioral patterns. Its products support investment research, retail, real estate, transportation, urban analysis, and other location-dependent applications.

The company supplies large-scale data feeds and analytical tools that can help users examine foot traffic, travel demand, regional behavior, and physical economic activity. Its Orchestrator platform extends this capability through more accessible self-service mobility analysis.

Veraset fits Tier III because it is an active specialist with a clear mobility-data identity. Its focused scope and emphasis on the underlying data layer distinguish it from the broader location-intelligence platforms in the upper tiers.

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Remarks

Alternative data has moved from an experimental research input to a permanent part of institutional investment infrastructure. The market continues to expand because conventional disclosures cannot fully describe digital behavior, consumer activity, workforce change, physical trade, supply chains, climate exposure, and real-time events.

The principal challenge is no longer access alone. Investors must determine whether a dataset is legally usable, methodologically stable, economically interpretable, and sufficiently differentiated to justify integration costs. A clean dashboard cannot compensate for an unrepresentative sample, while a unique raw feed has limited value if it cannot be mapped reliably to an investment question.

Artificial intelligence will make alternative data easier to search, combine, explain, and monitor. It will also raise the standard for provenance and validation. As more research workflows become automated, undocumented revisions, entity-resolution errors, and false precision can propagate more quickly through investment processes.

The firms recognized in this ranking occupy different layers of the ecosystem, from proprietary data collection and analyst-curated research to physical-market intelligence, workforce analytics, and vendor discovery. Tier classification reflects relative institutional positioning within that ecosystem and does not represent a prediction of investment performance, a client recommendation, or endorsement of any dataset or analytical product.

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Recognition

Inclusion in the Top 30 Alternative Data & Analytics Providers 2026 ranking is an editorial determination of The Economy Rankings and is independent of licensing, advertising, sponsorship, or other commercial participation.

Ranked organizations may factually refer to their inclusion in the ranking in their own communications. When describing the result, firms should accurately reflect the tier structure and methodology used in the published ranking.

How the ranking should be interpreted

• Tier I represents the Top 5 firms, and the published order within Tier I reflects the ranking order.
• Tier II represents firms ranked within the Top 15, following Tier I. Firms within Tier II are displayed alphabetically; their displayed order should therefore not be interpreted as an individual numerical ranking.
• Tier III represents firms ranked within the Top 30, following Tiers I and II. Firms within Tier III are also displayed alphabetically, and their displayed order should not be interpreted as an individual numerical ranking.
• A firm's tier, rather than its alphabetical position within Tier II or Tier III, should therefore be used when describing its standing.

Referencing the ranking

Depending on the firm's published tier, appropriate factual descriptions may include:

• Tier I: “Ranked Tier I” or “Ranked among the Top 5”
• Tier II: “Ranked Tier II” or “Ranked among the Top 15”
• Tier III: “Ranked Tier III” or “Ranked among the Top 30”

Firms should not describe an alphabetical position within Tier II or Tier III as a specific numerical rank.

Use of The Economy Rankings recognition materials

Editorial inclusion in a ranking does NOT by itself grant permission to use The Economy Rankings badges, seals, logos, official recognition graphics, licensed quotations, or other proprietary recognition materials.

Organizations wishing to use official The Economy Rankings recognition materials in corporate websites, marketing materials, investor communications, client presentations, social media, press releases, or other external communications should refer to the applicable licensing terms and usage policies:

• The Economy Rankings License Structure — available licence levels and permitted recognition uses
  Rankings License Structure | The Economy
• The Economy Rankings License Policy — licensing conditions governing use of The Economy Rankings recognition, marks, and related materials
  The Economy Rankings License Policy | The Economy
• Recognition Use Guide — guidance on permitted wording, presentation, attribution, and use of ranking recognition
  Recognition Use Guide | The Economy

Ranking inclusion remains editorially independent regardless of whether an organization purchases or holds a recognition-materials licence.

Recognized institutions may reference the designation in:

• corporate websites
• investor communications
• marketing materials
• client presentations

Licensing inquiries:
[email protected]