The rank of a tensor is a measure of its dimensionality, indicating the number of indices required to uniquely identify each element within the tensor. It is a fundamental property that determines the complexity and structure of data represented in multi-dimensional arrays, crucial for operations in fields like physics, machine learning, and data analysis.