Randomized QuickSort is a variant of the QuickSort algorithm that improves performance by randomly selecting a pivot element, reducing the likelihood of encountering the worst-case time complexity. This technique ensures an average time complexity of O(n log n), making it efficient for large datasets by minimizing the risk of degenerate cases.