Parametric modeling is a mathematical approach in which a model is defined using parameters that can be adjusted to represent various scenarios, allowing for flexibility and scalability in design and analysis. It is widely used in fields like computer-aided design, statistics, and machine learning to optimize and simulate complex systems efficiently.