Parameterized complexity is a framework in computational complexity theory that examines algorithms based on multiple parameters of the input, allowing for more fine-grained analysis of problem tractability beyond classical NP-completeness. It provides insights into which aspects of the input contribute most to computational difficulty, enabling the design of more efficient algorithms for specific cases.