Parameter space refers to the multidimensional space that represents all possible values of parameters in a model, where each dimension corresponds to a parameter. It is crucial for optimization and understanding the behavior of models, as navigating this space allows for the identification of optimal parameter values that minimize or maximize a given objective function.