Synthetic data is artificially generated data that mimics real-world data. It is created using algorithms and simulations to replicate the statistical properties of actual data without revealing sensitive information. Synthetic data is used in various fields, including machine learning, data analysis, and software testing, to enhance model training, ensure privacy, and address data scarcity. It offers a safe way to share and utilize data for research and development while preserving the confidentiality of the original data sources.