QR Decomposition is a matrix factorization technique that expresses a matrix as the product of an orthogonal matrix Q and an upper triangular matrix R. It is widely used in numerical linear algebra for solving linear systems, eigenvalue problems, and least squares fitting due to its numerical stability and efficiency.