The Global Synthetic Data Generation Market was valued USD 375.05 Million in 2023 and projected to reach USD 2353.38 Billion by 2030, growing at a CAGR of 30% during the forecast period of 2023-2030.

Synthetic data provides one promising way to drive innovation in generative AI, offering a pathway to overcome existing challenges and unlock new possibilities.

A Detailed View of the Synthetic Data Generation Market Report.Fort Collins, Colorado, Oct. 26, 2023 (GLOBE NEWSWIRE) -- According to DataHorizzon Research, the Synthetic Data Generation Market ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world ...

Synthetic data generation is the process of creating artificial datasets that mimic real-world data and can be used to test or train agents or models.

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

Technologies like Unity 3D, Unreal Engine, Blender and Maya are not just tools for creating video games and animations. They are engines of innovation, capable of generating highly detailed, ...

The Federal Chief Data Officers Council is looking for information on synthetic data generation as it works to establish best practices, according to a solicitation posted Thursday. The request for ...

The Department of Homeland Security and Chief Data Officers Council put out calls recently for products and insight on synthetic data generation.