A large number of data Marketplaces (DMs) have appeared in the last few years to help owners monetize their data, and data buyers optimize their marketing campaigns, train their ML models, and perform other data-driven decision processes. Even in Europe that took the lead in the data protection race with GDPR, several new initiative like the European Data Spaces, Gaia-X, and the Data Governance Act show that we have entered in the post-privacy era, in which data may be sold as a product, so long as certain rules are obeyed. While such rules are being discussed, the market is moving fast to come up with new business models, technologies, and actual data data products offered for purchase as we speak.
In our recent report, we present a first of its kind measurement study of the growing DM ecosystem and shed light on several totally unknown facts about it. For example, we show that the median price of live data products sold under a subscription model is around US $1,400 per month. For one-off purchases of static data, the median price is around US $2,200. At the extreme of the pricing spectrum we see data products that reach up to a million US $. We analyze the prices of different categories of data and show that products about telecommunications, manufacturing, automotive, and gaming command the highest prices. We also develop classifiers for comparing prices across different DMs as well as a regression analysis for revealing features that correlate with data product prices.
Read more in: S. Andres Azcoitia, C. Iordanou, N. Laoutaris, “What Is the Price of Data? A Measurement Study of Commercial Data Marketplaces,” [arXiv:2111.04427].