Unsupervised learning algorithms play a crucial role in discovering hidden structures within datasets and extracting meaningful insights. They are particularly valuable when obtaining labeled data is challenging or time-consuming. Unsupervised learning algorithms can be used for various tasks such as clustering, dimensionality reduction, association rule learning, and generative modeling.