Cache-Oblivious Analysis is a formal analytical framework in algorithm design that evaluates the efficiency of algorithms with respect to memory hierarchy performance without explicit knowledge of cache parameters such as size or block length, distinguishing itself by its asymptotic characterization of data movement across idealized memory levels.