Search space reduction is a strategy used in computational problem-solving to decrease the number of potential solutions that must be examined, thereby improving efficiency and performance. This technique is crucial in areas like optimization, machine learning, and artificial intelligence, where it helps in finding solutions faster by eliminating unlikely or irrelevant options early in the process.