The classification and differentiation of renal tumors are related to the choice of therapeutic modalities and prognosis of patients. CT texture analysis is an objective and quantitative assessment of tumor heterogeneity based on the distribution and relationship characteristics of pixel or voxel gray levels in images, which can make up for the subjective limitations of traditional image visual analysis methods for diagnosis. In this article, CT texture analysis and its application in the diagnosis of renal tumors are reviewed and the limitations are also discussed.