Data simulation is the process of generating synthetic data that closely mimics the properties and characteristics of real-world data. Simulated data has the advantage of not needing to be collected from surveys or monitoring software or by scraping websites—instead, it’s created via mathematical or computational models, offering data scientists, engineers, and commercial enterprises access to training data at a fraction of the cost.