Matrix norms are functions that assign a positive scalar to a matrix, providing a measure of the matrix's size or length in a vector space. They are essential for analyzing matrix behavior, particularly in numerical linear algebra, as they help in understanding stability, convergence, and error bounds in matrix computations.