With the increasing demand for projectile firing accuracy in modern warfare, an efficient and precise aerodynamic parameter prediction is critically necessary. In this paper, a certain type of projectile was taken as the research object, and the key aerodynamic parameters such as drag coefficient (CD) and lift coefficient (CL) of the projectile model were solved by computational fluid dynamics (CFD) method under various incoming flow conditions. Based on these CFD simulations, the Kriging surrogate model was developed to predict the projectile aerodynamic parameters. The prediction performance of the surrogate model was analyzed using different evaluation indicators. The prediction results show that the prediction error decreases with the increase of sample size, and the highest coefficient of determination (R2) could reach 99%, which met the engineering accuracy requirements. This research provides a reliable approach for the study of the projectile aerodynamic characteristics and offers a potential framework for similar applications in other fields of engineering where accurate and efficient prediction is essential.