A Survey on Data Markets
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Abstract (arXiv)
Data is the new oil of the 21st century. The growing trend of trading data for greater welfare has led to the emergence of data markets. A data market is any mechanism whereby the exchange of data products including datasets and data derivatives takes place as a result of data buyers and data sellers being in contact with one another, either directly or through mediating agents. It serves as a coordinating mechanism by which several functions, including the pricing and the distribution of data as the most important ones, interact to make the value of data fully exploited and enhanced. In this article, we present a comprehensive survey of this important and emerging direction from the aspects of data search, data productization, data transaction, data pricing, revenue allocation as well as privacy, security, and trust issues. We also investigate the government policies and industry status of data markets across different countries and different domains. Finally, we identify the unresolved challenges and discuss possible future directions for the development of data markets.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Nov 2024.
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Citing papers per year: 2025: 6; 2026: 1.
7 papers.
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- 2026SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models29 Jan 2026
- 2025Towards Contextual Sensitive Data Detection2 Dec 2025
- 2025Semivalue-based data valuation is arbitrary and gameable14 Jun 2025
- 2025Faithful Group Shapley Value25 May 2025
- 2025Data Sharing with a Generative AI Competitor18 May 2025
- 2025Do Data Valuations Make Good Data Prices?7 Apr 2025
- 2025Fairshare Data Pricing via Data Valuation for Large Language Models31 Jan 2025