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Top 20+ Data Marketplaces to Buy & Sell Data in 2025

March 18, 2025
Viktor Lobas
Marketing Coordinator

Data Marketplace Platform Market Size 2025 to 2030

The global data marketplace platform market, which facilitates the buying and selling of various data types, was valued at USD 1.49 billion in 2024. Projections indicate significant growth, with the market expected to reach USD 5.73 billion by 2030, reflecting a compound annual growth rate (CAGR) of 25.2% from 2025 to 2030.

Another analysis anticipates the market size to grow from USD 1.46 billion in 2024 to USD 8.38 billion by 2033, corresponding to a CAGR of 21.44% during 2025-2033.

This growth is driven by factors such as increasing data monetization, rising demand for analytics, technological advancements, and the need for access to quality data.

If you are looking for where to buy data online to make data-driven decisions, or to sell data online to unlock new revenue streams, below is the list of the best data marketplaces and data monetization platforms in 2025.

Top 10 Data Marketplaces

1. BigGeo Marketplace

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BigGeo Marketplace is an automated data sales and delivery platform with advanced geospatial tools such as visualization on the map, partitioning, and more.

2. AWS Marketplace

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Seamless integration with AWS cloud services, enabling easy deployment and monetization.

3. Snowflake Data Marketplace

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Native sharing within Snowflake’s Data Cloud, enabling instant data access without ETL.

4. SAP Datasphere Marketplace

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Deep integration with SAP enterprise applications, streamlining data sales for SAP customers.

5. ESRI ArcGIS Marketplace

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Specialized in geospatial data, directly consumable in ArcGIS software.

6. Databricks Marketplace

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Optimized for AI/ML workloads, allowing easy integration with Databricks' Lakehouse platform.

7. Nasdaq Data Link

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Offers premium financial datasets, making it a go-to for institutional data buyers.

8. Datarade

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AI-driven data discovery and comparison for maximizing data visibility to buyers.

9. Here

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Focus on mobility and location data with strong automotive and logistics partnerships.

10. Dawex

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GDPR-compliant data exchange infrastructure for controlled and secure transactions.

Other Best Platforms to Sell Your Data Online

ThinkData Works

Data cataloging and lineage tracking to enhance data discoverability and compliance.

Revelate

Self-service data marketplace with automated licensing and transaction workflows.

Nomad Data

AI-powered data matchmaking that connects sellers with the right data buyers.

GoodData

Embedded analytics and white-labeling, enabling sellers to offer analytics-ready data.

Althub Altlab360

Provides alternative datasets with AI-driven insights for investors and enterprises.

Dewey Data

Transparency-focused data marketplace with robust metadata tagging for discovery.

Dappier RAG Marketplace

AI-driven retrieval-augmented generation (RAG) models leveraging premium datasets.

CleverMaps Marketplace

Location intelligence-focused marketplace with intuitive geospatial visualization tools.

Vendia

Blockchain-powered marketplace ensuring verifiable and tamper-proof data transactions.

Initial Data Offering

Crowdfunding model for data assets, allowing early-stage data monetization.

Kaggle

Open data marketplace with a strong community of data scientists, making it ideal for collaboration.

FAQ

What is a data marketplace?

A data marketplace is an online platform where businesses and individuals buy and sell datasets securely. It connects data providers and buyers, enabling transactions for various types of data, such as geospatial, financial, retail, and AI training datasets.

What are the different types of data marketplaces? 

Data marketplaces come in various types, each catering to specific industries, data needs, and user groups:

  • Open Data Marketplaces – Provide free or publicly accessible datasets, often hosted by governments, NGOs, or research institutions.
  • Geospatial Data Marketplaces – Specialize in selling location-based datasets, such as satellite imagery, GIS data, and mobility insights.
  • Enterprise Data Marketplaces – Designed for businesses to securely share and monetize proprietary datasets, often with strict licensing and access controls.
  • Big Data Marketplaces – Focus on large-scale datasets used for analytics, machine learning, and business intelligence.
  • AI Data Marketplaces – Offer high-quality datasets for AI and machine learning training, including annotated images, text corpora, and sensor data.
  • Cloud Data Marketplaces – Integrated within cloud platforms (e.g., AWS Data Exchange, Google Cloud Marketplace) to provide easy access to on-demand datasets.
  • Financial Data Marketplaces – Provide stock market data, economic indicators, and alternative financial insights for trading and investment analysis.
  • Healthcare Data Marketplaces – Offer medical datasets, genomic data, and clinical research data while ensuring compliance with regulations like HIPAA and GDPR.
  • IoT Data Marketplaces – Enable the exchange of real-time sensor data from smart devices, industrial machines, and connected infrastructure.

What’s the best data marketplace for geospatial data sellers?

The best geospatial data marketplaces provide high-quality GIS datasets, satellite imagery, and location intelligence tools for businesses. Some top platforms include BigGeo, SafeGraph, and UP42.

With BigGeo, you get a full ecosystem of geospatial solutions, including:

  • Marketplace – Monetize and sell your geospatial data.
  • Datalab – Manage and process large-scale GIS datasets.
  • Datascape – Visualize spatial data for better insights.

This is unlocking opportunities across industries such as infrastructure, energy, logistics, e-commerce, urban planning, and many more. Its user-friendly design allows businesses to integrate geospatial intelligence into daily decision-making, without requiring specialized GIS expertise.

How can I access free and open datasets?

Many open data marketplaces provide free datasets for public use, such as government portals and research institutions offering open-access data. E.g. Kaggle focused on free datasets only, while BigGeo Marketplace includes both paid and free datasets.

What are the best places to buy high-quality datasets?

You can purchase high-quality business, AI, geospatial, and big data from trusted data marketplaces. Look for platforms like BigGeo Marketplace that provide sample datasets and metadata to ensure data quality.

How much can I earn selling data?

Data pricing depends on factors like data type, exclusivity, accuracy, and demand. Some niche datasets (e.g., geospatial or financial data) can sell for thousands per license.

Is buying and selling data legal?

Yes, but data transactions must comply with GDPR, CCPA, HIPAA, and other data privacy laws. Always check the licensing terms before purchasing.

How can I contact a data provider before purchasing?

Most marketplaces allow direct messaging or have a contact form through the seller’s profile to ask questions before buying.

Who buys business data, and why is it worth billions?

Businesses, hedge funds, financial institutions, marketing, advertising firms, technology companies, AI developers, political organizations, retail, and e-commerce buy business data to gain insights, improve decision-making, and optimize operations. The global data economy is worth billions because companies leverage data for:

1. Gaining insights into company performance and market trends

Hedge funds increasingly invest in alternative data sources, such as cell phone geolocation, satellite imagery, and credit card transactions. In 2025, it's anticipated that hedge funds will either maintain or increase their budgets for such data, with the average fund spending $1.6 million annually and larger funds exceeding $5 million.

Case Study

Motivation: Access to unique datasets provides a competitive edge in predicting stock movements and economic indicators, leading to more informed investment decisions.

2. Offering personalized services and targeted marketing

Financial institutions are leveraging customer financial data. For instance, some banks and payment companies analyze transaction histories to develop tailored product offerings. However, this practice raises privacy concerns, especially when anonymized data is sold to advertisers.

Case Study

Motivation: Detailed consumer data allows for precise targeting, improving the effectiveness of marketing campaigns and customer engagement.

3. Training large language models

Major AI firms, including OpenAI, Google, and Meta, rely heavily on content from premium publishers. This dependence has led publishers to seek copyright protections and compensation for their contributions.

Case Study

Motivation: High-quality datasets are essential for training advanced AI models, enhancing their performance and reliability.

4. Tailoring political organizations messages to specific voter segments

Data brokers have developed databases identifying voters based on their support for specific movements or events, such as right-wing militias or the January 6 insurrection. This information is sold to political campaigns.

Case Study

Motivation: Granular voter data enables political entities to craft targeted messages, potentially influencing election outcomes.

5. Forecasting retail performance

Investors and retailers are utilizing alternative data, including credit card transactions and consumer sentiment surveys, to make data-driven decisions during critical periods like the holiday season. Companies such as HundredX and Facteus provide data that offers insights into consumer behavior and sales trends.

Case Study

Motivation: Access to real-time consumer data allows retailers to adjust strategies promptly, optimizing sales and inventory management.

How to start selling data?

Ready to start selling data? Book a free demo with BigGeo today and unlock new revenue streams!

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