Eigenvectors are fundamental in linear algebra, representing directions in which a linear transformation acts by stretching or compressing. They are crucial in simplifying complex problems across various fields such as physics, computer science, and data analysis, often used in conjunction with eigenvalues to understand the properties of matrices.