The Johnson-Lindenstrauss lemma states that a small set of points in high-dimensional space can be embedded into a lower-dimensional space such that the distances between the points are nearly preserved. This lemma is widely used in dimensionality reduction techniques, ensuring computational efficiency while maintaining the integrity of the data structure.