Sparsity refers to the condition where a dataset or matrix contains a high proportion of zero or null elements, which can be leveraged to optimize storage and computational efficiency. It is a critical concept in fields such as machine learning, data mining, and signal processing, where handling large-scale data efficiently is essential.