Predictive models in catalysis are computational tools used to anticipate the behavior of catalytic systems. These models leverage various mathematical and statistical techniques to predict reaction outcomes, selectivity, and efficiency. They are invaluable for designing new catalysts and optimizing existing ones, reducing the need for extensive experimental trials.