The Zero-inflated Poisson model is a statistical model used to handle count data with an excess of zero counts, which cannot be adequately modeled by a standard Poisson distribution. It combines a Poisson distribution for count data with a separate process to account for the excess zeros, allowing for more accurate representation and analysis of such data sets.