Unsupervised learning is a machine learning technique that analyzes unlabeled data to identify hidden patterns, structures, or relationships without predefined categories. It helps in clustering similar data points, reducing dimensionality, and discovering underlying features, enabling insights and organization of complex datasets in applications like customer segmentation, anomaly detection, and recommendation systems.