To define the multi-factor affecting degree of consuming prediction of aviation materials and improve the accuracy of consumption analysis and prediction, we proposed a method for predicting the consumption of aviation materials based on principal component analysis (PCA) of influencing factors and generalized liner regression. Firstly, quantitatively and qualitatively analysis the influence factors of aviation materials consumption. Then, screen out the main factors by PCA and make it dimensionality reduction to get the best collection of variables. Finally, use the generalized linear regression to build the air material consumption equation, and verify its goodness-of-fit, and finally make consumption forecast. The results show that the model reduces the impact factor correlation, and the difficulty of regression analysis, and improves the precision of regression analysis, and the accuracy of the prediction model of aviation material consumption.