Non-Gaussianity refers to statistical distributions or signals that deviate from a Gaussian (normal) distribution, often indicating complex underlying processes or structures. It is crucial in fields like cosmology, finance, and signal processing to understand phenomena that Gaussian models cannot adequately describe.