The Average Treatment Effect (ATE) measures the mean difference in outcomes between units assigned to a treatment and those assigned to a control group, providing a summary measure of the causal impact of the treatment. It is crucial for understanding the overall effectiveness of interventions in randomized experiments and observational studies, assuming all confounding factors are appropriately controlled.