Data marketplaces can be categorized into different types based on who can use them and the data categories listed there. As such, there are private data marketplaces, which can only be used internally by members of an organization, vs. public data marketplaces, which are accessible to anyone on the internet (although a login is sometimes required). There are healthcare data marketplaces, on which pharma, HCP, and medical imagery datasets are listed, vs. financial data marketplaces, mostly used by traders and hedge funds to exchange financial data.
We've listed the main types of data marketplace so you can understand who's using them, the data available on them, how to access them, and some real-world examples of data marketplace companies.
AI & ML data marketplaces list datasets that can be used for training AI models, from generative AI, like LLMs, to industry-specific AI models, like fraud detection in the banking space. These datasets can be image, text, audio, as well as other formats, depending on the training use case. Examples of AI & ML training data marketplaces include Innodata, Define.ai, and Databricks Marketplace.
Alternative data marketplaces and platforms refer to a new generation of data marketplaces and platforms that provide access to non-traditional or "alternative" data sets. These data sets can include information from social media, satellite imagery, IoT devices, and other sources that can be used to gain insights into industries, markets, and consumers. Alternative data can be used for a wide range of applications such as investment research, risk management, and predictive analytics. Examples of alternative data marketplaces and platforms include Quandl, Eagle Alpha, and Alternative Data Group.
Audience data marketplaces are platforms that allow companies to buy and sell data about individuals or groups of people, such as their demographics, interests, and behaviors. This data can be used for targeted advertising, market research, and other business purposes. Examples of audience data marketplaces include LiveRamp, Nielsen, and Experian.
The term 'B2B data marketplace' can refer to both the data available on the marketplace OR the entities that can use it. The first kind of B2B data marketplaces are platforms that allow businesses to buy and sell data about other businesses, such as company information, financial data, and industry insights. These marketplaces are typically used by companies to gain a better understanding of their target market, identify new business opportunities and improve their sales and marketing efforts. Examples of B2B data marketplaces where you can buy B2B data include ZoomInfo and Owler. The second kind of B2B data marketplaces are those which can only be used by corporates or institutions, as opposed to individual consumers. Examples of B2B data marketplaces that are accessible only to companies and organizations are Datarade Marketplace, SAP Datasphere, and Snowflake Marketplace.
Consumer data marketplaces are platforms where businesses can buy datasets on consumers. These datasets contain demographic, psychographic, location, purchase intent and history, and contact data for consumers. This information helps businesses understand their consumers better so they can define more precise targeting strategies and increase marketing ROI. Examples of consumer data marketplaces include Datarade Marketplace, Databricks Marketplace, and LiveRamp.
Environmental data marketplaces allow businesses and organizations to collect and distribute environmental data. This data can be generated by a variety of sources such as weather stations, satellites, drones, and IoT sensors. Environmental data can include information such as temperature, humidity, wind, precipitation, and air quality, as well as derived data such as energy consumption, carbon footprint, and environmental impact. The data available on environmental data platforms can be used to support climate and landscape decision making, research, monitoring and reporting in a variety of industries such as agriculture, energy, and resource management. Examples of environmental data platforms include Veracity and Up42.
Financial data marketplaces are platforms that allow financial institutions, investors, and other financial market participants to buy and sell financial data such as market prices, reference data, and financial news. These marketplaces provide access to real-time and historical data, and can include data on stocks, bonds, derivatives, currencies, commodities, and other financial instruments. They can also provide financial analytics and research tools. Financial data marketplaces can be operated by financial institutions, data providers, or independent third-party providers. Examples of financial data marketplaces include Bloomberg, Thomson Reuters, and S&P Global Market Intelligence.
Healthcare data marketplaces serve as digital platforms facilitating the exchange of health-related data between buyers and sellers in the healthcare industry. From a buy-side perspective, these marketplaces provide access to diverse datasets for medical research, clinical trials, healthcare analytics, and innovation. Buyers can leverage these datasets to gain insights, develop new treatments, improve patient care, and drive advancements in healthcare technology. Examples of healthcare data marketplaces include Datavant, which connects healthcare data from various sources to enable data sharing and collaboration, and TriNetX, a global health research network that provides access to real-world clinical data for research and analytics purposes.
IoT (Internet of Things) data marketplaces are platforms that allow businesses and organizations to buy and sell data generated by IoT devices and sensors. These marketplaces provide access to real-time and historical data on a wide range of topics such as weather, traffic, energy consumption, and industrial equipment performance. This data can be used for a variety of purposes such as smart city planning, predictive maintenance, and risk management. IoT data marketplaces can be operated by IoT service providers, data providers, or independent third-party providers. Examples of IoT data marketplaces include Ayla Networks, ThingWorx, and GE Predix.
Location data platforms are software systems that allow businesses and organizations to collect, store, and analyze location data. This data can be generated by a variety of sources such as GPS-enabled devices, mobile apps, and social media platforms. Location data can include information such as latitude and longitude, address, and map coordinates, as well as derived data such as location-based demographics, foot traffic patterns, and location-based insights. The location data can be used for a variety of purposes such as targeted advertising, market research, and real-estate analytics. Examples of location data platforms include Factual, Placed, and Placemeter.
Open data marketplaces are open online platforms that make large amounts of data freely available to the public. These platforms typically focus on providing access to government and public sector data, but can also include data from other sources such as research institutions, non-profit organizations, and private companies. The data on open data marketplaces can be used for a wide range of purposes, including research, policy-making, and business development. Some examples of open data platforms are data.gov, data.gov.uk, and data.europa.eu. Some commercial open data platforms are Quandl, Kaggle and Data.world.
Third-party data marketplaces list datasets from third-party data providers. These providers aren't selling their internal data, rather data that they've collected from other sources and packaged into data products for sale. Third-party data marketplaces are great for accessing a range of different data categories from professional data providers. Examples of third-party data marketplaces include AWS, Snowflake and LiveRamp.
White label data marketplaces are marketplaces which are available for companies to purchase, unbranded, to use within their orgnaization. For example, a B2B data marketplace like Datarade Marketplace might sell a license to access all the datasets listed on its platform as a white-label service. The buyer could then apply its own branding to the platform and offer a huge selection of datasets to its end-users instantly, under its own brand.
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