Vector spaces are essential in linear algebra, defined by specific properties like closure, associativity, and the existence of an additive identity. The video explains how to determine if a set is a vector space, illustrating with examples and emphasizing the importance of understanding group theory beforehand. Future videos will cover subspaces and their properties.