Divide and conquer is an algorithmic paradigm that solves a problem by breaking it into smaller subproblems, solving each subproblem recursively, and then combining their solutions to solve the original problem. This approach is particularly effective for problems that can be naturally divided into independent or overlapping subproblems, leading to efficient and scalable solutions.