A minimal sufficient statistic is a statistic that captures all the information needed to estimate a parameter of interest from a sample, and it is the simplest form of sufficient statistic that retains this property. It is crucial in reducing data complexity without losing inferential power, making it a fundamental concept in statistical inference.