Nonlinear regression is a form of regression analysis in which data is modeled by a function that is a nonlinear combination of the model parameters and depends on one or more independent variables. It is used when the relationship between the dependent and independent variables is not linear, allowing for more complex and flexible models to better fit real-world data patterns.