NP-hardness is a classification used in computational complexity theory to describe decision problems for which no known polynomial-time algorithms exist, and every problem in NP can be reduced to them in polynomial time. It indicates that if any NP-hard problem can be solved quickly, all problems in NP can also be solved quickly, making it central to understanding the limits of efficient computation.