To predict the cracking pattern of masonry under uniformly and laterally load more simply and more accurately, a support vector machine (SVM) method was developed. Firstly, the feature of the cracking patterns of tested wall panels was extracted, and the priority knowledge of these panels was obtained. Secondly, the feature of these panels to form the characteristic data was quantitatively described and the SVM model to study the characteristic data was built. Finally, the cracking patterns of new panels were predicted using the SVM model above. To testify the SVM model, the panels with three simply-supported edges (hereinafter referred to as “the trilateral support”) and a top free edge, the panels with four simply-supported edges(hereinafter referred to as “support on four sides”), and all the panels above were studied. The result indicated that the developed SVM method could predict the cracking patterns of masonry wall panels in a better precision than traditional methods.