A Gram matrix is a symmetric matrix derived from the inner products of a set of vectors, often used to understand the geometry of the vectors in a given space. It plays a crucial role in kernel methods, where it helps in computing the similarity between data points in a transformed feature space without explicitly mapping them to that space.