Matrix factorization is a mathematical technique used to decompose a matrix into a product of two or more matrices, simplifying complex data structures for easier computation and analysis. It is widely used in areas like collaborative filtering in recommendation systems, dimensionality reduction, and latent semantic analysis, enabling efficient data processing and pattern recognition.