27 Top Data Vendors in 2026

As more software products and business systems rely on external data to deliver value, choosing the right data vendor has become a core strategic decision.

The right data provider can accelerate development, reduce long-term engineering and data maintenance costs, and support scale without requiring organizations to rebuild underlying infrastructure. The wrong one can limit insight depth, introduce coverage gaps, or make it difficult to adapt as markets, products, and customer needs evolve.

This guide highlights the top data vendors and providers across a range of data categories and use cases. It explores how licensed data is used to support products, analytics, research, and decision-making — and outlines the key considerations for choosing a vendor that aligns with your organization’s goals.

Let’s start by reviewing the top data vendors in 2026.

1. Crunchbase

Best for: Private company and market intelligence 

Crunchbase provides licensed access to proprietary private company data and predictive intelligence through its API, enabling teams to build and scale data-driven products. Its dataset spans millions of public and private companies and includes funding rounds, acquisitions, investors, executive profiles, financial signals, and predictions about future company behavior.

Product builders use Crunchbase data to power features such as searchable company profiles, market and ecosystem mapping, investment insights, risk indicators, and predictive analytics surfaced directly to end users. Rather than investing heavily in collecting, validating, and maintaining private company data internally, teams license Crunchbase data to accelerate development while keeping their products current as markets evolve.

By combining best-in-class proprietary data with live updates and forward-looking predictions, Crunchbase gives product teams the flexibility to expand feature depth, enter new markets, and support new customer use cases over time.

Top features

• Global company and investor profiles
  
  
• Funding, M&A, and ownership data
  
  
• Executive and leadership information
  
  
• Proprietary growth, funding, exit, and risk predictions
  
  
• API access and bulk data licensing
  

Pricing

Custom pricing based on data scope and licensing requirements. Get a quote by contacting the Crunchbase team.

2. Plaid

Best for: Financial account and transaction data

Plaid provides secure, permission-based access to consumer and small business financial data. Through its APIs, applications can connect to bank accounts, credit cards, and financial institutions to retrieve balances, transactions, and identity attributes. Plaid’s data infrastructure is widely used across fintech, lending, and financial management use cases where accuracy and timeliness are critical. Its emphasis on consent and security has made it a foundational provider in regulated financial environments.

Top features

• Bank and financial institution connectivity
  
  
• Transaction and balance data
  
  
• Identity, income, and asset verification
  
  
• Secure consent framework
  

Pricing

Usage-based pricing, typically per connected account or data product.

3. Bombora

Best for: B2B intent data

Bombora specializes in intent data derived from aggregated content consumption across a large network of B2B publishers. Its data identifies companies that are actively researching specific topics, products, or services, offering insight into emerging demand. Organizations use Bombora to understand market interest trends and prioritize outreach or analysis based on buying signals. The data is particularly valuable for interpreting interest before formal purchase activity occurs.

Top features

• Topic-level intent signals
  
  
• Company-level aggregation
  
  
• Historical and trend analysis
  
  
• Integrations with GTM platforms
  

Pricing

Subscription-based pricing.

4. Foursquare

Best for: Location and mobility data

Foursquare provides geospatial and foot-traffic data derived from mobile location signals. Its datasets help organizations understand where people go, how locations perform, and how physical movement translates into behavior. The data is commonly used in retail analytics, real estate analysis, advertising measurement, and urban planning. Foursquare emphasizes aggregated, privacy-conscious insights rather than individual-level tracking.

Top features

• Foot-traffic and visitation data
  
  
• Point-of-interest intelligence
  
  
• Movement and dwell-time analytics
  
  
• Location-based insights
  

Pricing

Custom pricing based on data volume and use case.

5. Aberdeen

Best for: Market research and benchmarking data

Aberdeen is a data supplier that provides industry benchmarks, research insights, and performance data across business functions such as sales, marketing, operations, and technology. Its datasets help organizations compare performance against peers and identify best practices across industries. Aberdeen’s research is often used to inform strategy, planning, and investment decisions. The data is typically consumed as part of ongoing subscription access.

Top features

• Industry benchmarks
  
  
• Research reports
  
  
• Performance metrics
  
  
• Peer comparisons
  

Pricing

Subscription-based pricing.

6. Experian

Best for: Identity, credit, and risk data

Experian is a global data provider focused on consumer and business credit, identity verification, and fraud prevention. Its datasets are widely used in financial services, insurance, and other regulated industries where trust and compliance are essential. Experian combines large-scale data assets with analytics to support decisioning and risk assessment. The company’s data is often embedded directly into underwriting, verification, and compliance workflows.

Top features

• Credit and risk scoring
  
  
• Identity verification
  
  
• Fraud detection tools
  
  
• Consumer and business datasets
  

Pricing

Custom enterprise pricing.

7. BuiltWith

Best for: Website and technographic intelligence

BuiltWith analyzes websites to identify the technologies they use, such as hosting providers, frameworks, analytics tools, and third-party services. Its data helps organizations understand technology adoption patterns across the web. BuiltWith is commonly used for market analysis, competitive research, and infrastructure mapping. Historical tracking allows users to see how technology stacks change over time.

Top features

• Web technology detection
  
  
• Historical technology tracking
  
  
• Competitive analysis
  
  
• Data exports and APIs
  

Pricing

Tiered subscription pricing.

8. 6sense

Best for: Account-based intent and buying signals

6sense uses AI and behavioral data to identify which companies are actively researching solutions and where they are in the buying journey. Its data helps organizations understand demand patterns at the account level rather than relying on individual leads. By combining intent signals with firmographic and predictive models, 6sense provides insight into purchasing readiness. The data is often used to align sales and marketing strategies.

Top features

• Intent and buying-stage signals
  
  
• Predictive analytics
  
  
• Account-level insights
  
  
• CRM and marketing integrations
  

Pricing

Enterprise subscription pricing.

9. Databricks

Best for: Large-scale data engineering and machine learning

Databricks is a data and AI platform designed to process, analyze, and model large volumes of data across cloud environments. Built on Apache Spark, it enables organizations to unify data engineering, analytics, and machine learning workflows within a single platform. While Databricks does not sell proprietary datasets, it plays a critical role in how licensed and internal data is transformed, enriched, and operationalized. Many organizations rely on Databricks to build predictive models and advanced analytics on top of third-party data.

Top features

• Lakehouse architecture
  
  
• Distributed data processing
  
  
• Machine learning and AI tooling
  
  
• Cloud-native integrations
  

Pricing

Usage-based pricing tied to compute and workloads.

10. Demandbase

Best for: Account-based intelligence and advertising data

Demandbase provides account-level data and analytics to support account-based marketing and advertising strategies. Its datasets help organizations identify target accounts, personalize engagement, and measure account performance across channels. Demandbase combines intent, firmographic, and engagement data to create a unified view of accounts. The platform is widely used by B2B organizations managing complex sales cycles.

Top features

• Account identification
  
  
• Intent and engagement data
  
  
• Advertising and personalization tools
  

Pricing

Custom subscription pricing.

11. G2 Stack

Best for: SaaS stack intelligence

G2 Stack is a data vendor that provides visibility into the software tools used by organizations, based on public signals and usage data. Its insights help teams understand software adoption trends and competitive positioning across markets. The data is often used for market mapping and ecosystem analysis. G2Stack focuses on identifying how companies build and manage their technology stacks.

Top features

• SaaS stack identification
  
  
• Competitive insights
  
  
• Market mapping
  

Pricing

Subscription pricing.

12. Snowflake

Best for: Cloud-native data warehousing and data sharing

Snowflake is a cloud data platform built for scalable storage, analytics, and secure data collaboration. It allows organizations to centralize data and perform analytics without managing underlying infrastructure. Through Snowflake Marketplace, teams can license and access third-party datasets directly within their environment. This approach simplifies how external data is consumed, governed, and combined with internal data at scale.

Top features

• Cloud data warehousing
  
  
• Secure data sharing
  
  
• Third-party data marketplace
  
  
• Elastic scalability
  

Pricing

Consumption-based pricing for storage and compute.

13. IPQwery

Best for: IP intelligence and geolocation data

IPQwery provides IP address data that maps internet traffic to geographic and network attributes. This data is used for personalization, localization, fraud prevention, and security analysis. IPQwery’s datasets help organizations understand where traffic originates and how networks are structured. The data is typically consumed through APIs or bulk access.

Top features

• IP-to-location mapping
  
  
• Network and ISP data
  
  
• Security and fraud signals
  

Pricing

Tiered or usage-based pricing.

14. Ampliz

Best for: Healthcare-focused business intelligence

Ampliz provides datasets covering companies and professional contacts across industries. Its data supports market analysis, segmentation, and outreach by helping organizations understand company structures and key decision-makers. One of its offerings is Ampliz Healthcare Intelligence, which provides contact and business intelligence on healthcare providers and organizations to support sales, marketing, and recruitment in healthcare.

Top features

• Healthcare provider data
  
  
• Contact and email data
  
  
• Technographic insights
  

Pricing

Subscription pricing.

15. Datanyze

Best for: Technographic intelligence

Datanyze tracks the technologies companies use across their digital infrastructure. Its data helps organizations understand adoption trends and identify markets based on technology usage. Datanyze is often used for research, segmentation, and competitive analysis. Historical data allows users to observe changes in technology stacks over time.

Top features

• Technology usage tracking
  
  
• Firmographic enrichment
  
  
• Market segmentation
  

Pricing

Subscription pricing.

16. TAGX

Best for: Event and intent data

TAGX is a data provider that offers data related to industry events, conferences, and attendee engagement. Its datasets help organizations understand interest signals tied to event participation. TAGX data is often used to identify emerging demand around specific topics or industries. The focus is on event-driven insights rather than ongoing behavioral tracking.

Top features

• Event intelligence
  
  
• Attendee insights
  
  
• Intent signals
  

Pricing

Subscription pricing.

17. OpenWeb Ninja

Best for: Web automation and data extraction

OpenWeb Ninja provides tools for extracting structured data from public websites at scale. Its platform supports custom data collection workflows for organizations that need bespoke datasets. OpenWeb Ninja is commonly used when off-the-shelf datasets are unavailable. The data can be exported in structured formats for analysis or integration.

Top features

• Web scraping automation
  
  
• E-commerce insights
  
  
• Search results insights

Pricing

Usage-based or subscription pricing.

18. Expana

Best for: Agricultural and commodity market data

Expana delivers pricing, supply, and market intelligence across agriculture and commodity markets. Its data helps organizations track price movements, supply dynamics, and market trends. Expana serves producers, traders, and analysts who need timely commodity insights. 

Top features

• Commodity pricing data
  
  
• Agrifood-focused market forecasts
  
  
• Food industry analysis
  

Pricing

Subscription pricing.

19. Dodge Construction Network

Best for: Construction and infrastructure project data

Dodge Construction Network provides detailed data on construction projects, bids, and industry activity. Its datasets are used to analyze construction pipelines, forecast demand, and understand regional trends. Dodge data is widely used by construction firms, manufacturers, and analysts. The focus is on project-level visibility and market intelligence.

Top features

• Project-level construction data
  
  
• Construction industry analytics
  

Pricing

Subscription pricing.

20. ATTOM

Best for: Property and real estate data

ATTOM is a data vendor that provides comprehensive property data across the United States, including ownership, mortgage, tax, and valuation records. Its datasets support real estate analysis, housing market research, and financial modeling. ATTOM aggregates public records into standardized, usable formats. The data is accessed via APIs or bulk licensing.

Top features

• Property and mortgage records
  
  
• Valuation and tax data
  
  
• Housing market analytics
  

Pricing

Custom or tiered pricing.

21. Statsig

Best for: Experimentation and product analytics

Statsig supplies tools and data for feature experimentation, testing, and product analytics. Its platform helps organizations measure how changes impact user behavior and outcomes. Statsig emphasizes statistically rigorous experimentation at scale. The data supports continuous optimization of digital experiences.

Top features

• Feature flagging
  
  
• Experimentation and analysis
  
  
• Developer-friendly APIs
  

Pricing

Usage-based pricing with free tiers.

22. MealMe

Best for: Restaurant and food data

MealMe aggregates restaurant menus, pricing, and availability across delivery platforms. Its data helps power food discovery, ordering, and analytics experiences. MealMe focuses on keeping menus and pricing current across fragmented sources. 

Top features

• Restaurant and menu data
  
  
• Grocery store inventory data
  
  
• API access
  

Pricing

Custom pricing.

23. ConsumerEdge

Best for: Consumer spending and transaction insights

ConsumerEdge is a data supplier that offers anonymized transaction data used to analyze consumer spending behavior. Its datasets help organizations understand demand trends across industries and geographies. ConsumerEdge focuses on aggregated insights rather than individual-level data. The data supports market analysis and economic research.

Top features

• Transaction-level insights
  
  
• Industry benchmarks
  
  
• Consumer behavior analytics
  

Pricing

Enterprise pricing.

24. MFour

Best for: Consumer behavior data

MFour is a B2B data provider that collects consumer insights through mobile surveys and behavioral research. Its data helps organizations understand preferences, sentiment, and decision-making patterns. MFour emphasizes real-time data collection from mobile audiences. The data is often used for market research and brand analysis.

Top features

• Survey-based data collection
  
  
• Behavioral insights
  
  
• Consumer sentiment data
  

Pricing

Project-based or subscription pricing.

25. Wiserbrand

Best for: E-commerce and digital performance intelligence

WiserBrand is a data-driven intelligence provider focused on e-commerce, digital performance, and competitive pricing insights. The company aggregates and analyzes data related to online pricing, product availability, SEO performance, and digital market dynamics to help organizations understand how brands compete and perform across online channels. WiserBrand’s data is used for competitive analysis, pricing strategy, and digital optimization, particularly in retail and e-commerce contexts.

Top features

• E-commerce pricing and competitive data
  
  
• Digital performance and SEO insights
  
  
• Market and competitor analysis
  

Pricing

Custom pricing.

26. PrivCo

Best for: Financial data on privately held companies

PrivCo focuses on financials, ownership structures, and valuation estimates for private companies. Its data is commonly used for research, due diligence, and market analysis. PrivCo aggregates information from public filings, proprietary research, and modeling. The dataset fills gaps where private company transparency is limited.

Top features

• Private company financials
  
  
• Ownership data
  
  
• Valuation estimates
  

Pricing

Subscription pricing.

27. Similarweb

Best for: Web and mobile app traffic data

Similarweb provides licensed data and insights into website and mobile app traffic, engagement patterns, referral sources, and audience behavior across the global internet. Its datasets are built from a combination of aggregated signals, partnerships, and modeling techniques that estimate how users discover and interact with digital properties. Organizations use Similarweb data to analyze market share, benchmark digital performance, and understand competitive dynamics online. The data is commonly applied in market research, investment analysis, and digital strategy.

Top features

• Website and mobile app traffic estimates
  
  
• Audience engagement and behavior metrics
  
  
• Industry and competitive benchmarks
  

Pricing

Subscription-based pricing, with tiers based on data depth and access level.

Key Data Vendor Use Cases

Data vendors support a wide range of business, analytical, and operational needs across industries. While the specific datasets vary — from financial transactions to location signals to company intelligence — the underlying use cases tend to fall into a few core categories.

• Market and competitive intelligence is one of the most popular use cases. Organizations rely on external data to understand market size, competitive dynamics, technology adoption, consumer behavior, and industry trends that would be difficult to capture internally.
• Financial analysis and risk assessment is another major category, particularly in regulated industries. Credit data, transaction data, identity signals, and predictive risk indicators help organizations evaluate exposure, make underwriting decisions, and monitor changes in financial health over time.
• Customer and audience insights power personalization, segmentation, and strategic decision-making. Consumer behavior data, intent signals, digital engagement metrics, and survey-based research help teams understand preferences, demand patterns, and emerging needs.
• Operational and location-based analysis relies on datasets such as property records, geospatial signals, and mobility data. These use cases support planning, forecasting, and physical-world performance measurement.
• Product, analytics, and experimentation use cases leverage data to test changes, optimize experiences, and measure outcomes. Experimentation data, behavioral analytics, and event data help organizations iterate with confidence and quantify impact.

Across all of these scenarios, data vendors reduce the cost, time, and complexity of collecting and maintaining high-quality datasets, allowing teams to focus on analysis and decision-making rather than raw data acquisition and upkeep.

How to Choose a Data Vendor

When licensed data becomes part of a product’s core functionality, proper evaluation is key.

Data accuracy, depth, and freshness determine whether your product can handle edge cases, new markets, and emerging companies without manual intervention. Structure and normalization affect how easily data can be integrated into product architectures and extended to support new features.

API quality and reliability are critical for production use, especially when data is surfaced directly to customers. Clear documentation, stable schemas, and predictable performance reduce engineering overhead and risk.

Finally, licensing terms and scalability matter. The right data vendor should make it easier — and more cost-effective — to ship new features over time by providing data and predictions that scale with customer demand and product growth.

Which Data Vendor Is the Best?

There is no single best data vendor for every scenario. However, for teams building products that rely on private market intelligence delivered through licensed, production-ready data, Crunchbase stands out.

Crunchbase combines proprietary data, AI-powered predictions, and an API designed to power both internal models and customer-facing products. Instead of limiting teams to static datasets, it enables continuous product enhancement — supporting deeper insights, new use cases, and new revenue opportunities as products scale.

For product developers looking to build quickly while maintaining flexibility to scale, Crunchbase offers a trusted, durable data foundation that compounds in value over time.

FAQs

What are data vendors?

A data vendor is a company that aggregates, structures, and licenses datasets sourced from multiple inputs, such as public records, proprietary collection, partnerships, or modeling. Data vendors focus on transforming raw or fragmented information into reliable, usable data related to markets, consumers, industries, or behavior. Their role is to make large-scale data accessible and actionable without requiring organizations to build and maintain their own data pipelines.

What is a B2B data provider?

A B2B data provider is a company that supplies data about businesses, markets, or professional activity for use by other organizations. B2B data providers typically offer firmographic, financial, intent, technographic, or predictive data to support research, analytics, sales, product development, and strategic planning. Their data helps organizations understand companies, industries, and commercial dynamics at scale.

What is the most popular data provider?

There is no single data provider that fits every use case, but some are widely recognized leaders within specific categories. For company and market intelligence, Crunchbase is among the most popular and trusted providers, with nearly two decades of experience aggregating hard-to-find private company data. Its long-standing focus on private markets, combined with broad global coverage and continuous data validation, has made it a go-to source for organizations across sales, research, analytics, investment, and product use cases.

Learn more about how the Crunchbase API can power your products and help your business scale.

Why use a B2B data vendor?

Organizations use B2B data vendors to access high-quality, hard-to-source datasets without building and maintaining them internally. Data vendors offer broader coverage, regular updates, and specialized data collection methods that reduce time to insight and operational overhead. By licensing external data, teams can make more informed decisions, scale faster, and focus internal resources on analysis rather than data gathering.

What should organizations consider when choosing a data vendor?

When choosing a data vendor, organizations should evaluate data coverage, accuracy, freshness, and relevance to their specific use cases. Licensing terms, scalability, and permitted usage are also critical. Additionally, teams should consider how the data is accessed, how often it’s updated, and whether the vendor can support long-term growth and evolving needs.

How is data from vendors usually accessed?

Data from vendors is typically accessed through APIs, bulk file delivery, cloud marketplaces, or direct data integrations. APIs support real-time or recurring access, while bulk files are often used for large-scale analysis or modeling. Some vendors also distribute data through cloud platforms, allowing organizations to query licensed datasets directly within their existing data environments.

Interested in exploring the Crunchbase API for your own models and tools? Contact the Crunchbase team for a quote.

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