Amortized analysis is a technique used in computer science to average the time complexity of an algorithm over a sequence of operations, ensuring that the average time per operation is small even if individual operations might be expensive. It provides a more realistic measure of an algorithm's performance compared to worst-case analysis, especially in scenarios where costly operations are infrequent.