Abstract: OBJECTIVE To introduce the progress of data analysis technology in the study of the antioxidant spectrum-effect relationship of traditional Chinese medicine(TCM) in recent years, and to provide ideas and reference for the research on the effective basis and quality evaluation of antioxidant TCM. METHODS The data analysis techniques used in the study of antioxidant spectrum-effect relationship of TCM in recent years, including related analysis(bivariate correlation, multivariate correlation, canonical correlation), grey correlation analysis, regression analysis(multiple linear regression, partial least squares regression), principal component analysis, artificial neural network and so on were reviewed and compared. RESULTS The application of data analysis technology in the study of antioxidant spectrum-effect relationship of TCM had some achievements, but due to the advantages and disadvantages of various data analysis techniques, which was more appropriate and how to combine different methods to get more effective result, all need further study and discussion. CONCLUSION The research on the scientific and reasonable application of data analysis technology to the antioxidant spectrum-effect relationship of TCM has quite broad prospects for development, which will certainly promote the process of the research on the modernization of antioxidant TCM.