Norm equivalence refers to the situation where two norms on a vector space are equivalent if there exist constants such that each norm can be bounded above and below by a multiple of the other. This concept is crucial in functional analysis as it ensures that convergence, continuity, and boundedness properties are preserved across different normed spaces.