Elise Devaux

Over the past year, we saw notable growth in the synthetic data space and exciting market shifts. In this article, I've compiled updates from a year of market monitoring. Read about the new players, developments, and perspectives on how the ecosystem evolved. When I published the 2021 synthetic data landscape post, there were 67 vendors: 28 structured synthetic data vendors, 10 synthetic test data vendors, 6 open source vendors, and 29 unstructured data vendors.

By Elise Devaux & Dr. Christoph Wehmeyer, Statice Synthetic data became a mainstream resource for various applications. It refers to data algorithmically generated approximating original data. The need for it can be a matter of data availability, cost reduction, security, or privacy concerns. Virtually all industries relying on personal or sensitive data to function can benefit from synthetic data.