Synthetic data is a type of data that is artificially created rather than obtained through direct measurement or observation. It is often used in research and testing processes where real data may be limited, sensitive, or difficult to access. Synthetic data is generated using algorithms and models that replicate the statistical characteristics of real data without containing any personally identifiable information. This allows researchers to conduct analyses and experiments without compromising privacy or confidentiality. Additionally, synthetic data can help improve the accuracy and efficiency of machine learning algorithms and data analysis techniques.