The exponential family is a class of probability distributions characterized by their natural parameterization and sufficient statistics, encompassing many common distributions like the Gaussian, Bernoulli, and Poisson. This family is crucial in statistical modeling and inference due to its mathematical properties, which facilitate efficient estimation and prediction through methods like maximum likelihood estimation and generalized linear models.