Synthetic data is artificially annotated information generated by computer algorithms or simulations, commonly used as an alternative to real-world data. It can be statistically accurate, privacy-protected and safe to share. Developers, data scientists and enterprise teams across industries are eager to use synthetic data due to its benefits such as faster access to sensitive data, augmenting limited datasets, reducing biases in datasets, enabling access to artificial and privacy-preserving versions of personal data, and more.