Eigenvectors and eigenvalues are fundamental in linear algebra, capturing the essence of linear transformations by identifying directions (eigenvectors) that remain invariant except for scaling (eigenvalues). They are pivotal in simplifying matrix operations, solving differential equations, and are widely used in fields like quantum mechanics, vibration analysis, and principal component analysis.