The rank of a matrix is the dimension of the vector space spanned by its rows or columns, indicating the maximum number of linearly independent row or column vectors in the matrix. It provides crucial insights into the matrix's properties, such as its invertibility, solutions to linear equations, and the dimensionality of its image and kernel.