Synthetic data is artificially generated information that mimics real-world data while ensuring privacy and security. Created using algorithms, simulations, or AI models, it reflects the statistical properties and structure of actual data without containing sensitive information. Synthetic data is widely used for training machine learning models, testing software, and driving innovation in industries like healthcare, finance, and autonomous vehicles. It eliminates privacy concerns, reduces data acquisition costs, and accelerates development, making it an essential tool in today's data-driven world.