Amortized analysis averages the cost of operations over time.
Amortized time complexity considers the average time per operation over a sequence of operations, allowing us to understand performance in practical scenarios. For instance, adding elements to an ArrayList is generally O(1), but occasionally resizing takes O(n). Amortized analysis smooths this out, showing the average cost is still O(1) per insertion.