Vector spaces are mathematical structures formed by a collection of vectors, where vector addition and scalar multiplication are defined and satisfy specific axioms such as associativity, commutativity, and distributivity. These spaces are fundamental in linear algebra and are essential for understanding various mathematical and applied concepts, including systems of linear equations, transformations, and eigenvectors.