Abstract: To investigate the differences in aroma structure of different types of cigarettes, the contents of 8 groups of aroma components in the total particulate matter (TPM) of 15 types of cigarettes were analyzed by GC-MS. The aroma activity values of each aroma component and the S_OAV of each component group were calculated. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to analyze the different aroma groups of the cigarettes and to classify the cigarette samples. The results showed that: 1) The amount of aroma components released in the same group showed a strong common pattern. 2) The contribution weight of burnt-sweet aroma component group was the highest in the 8 groups of Chinese-style cigarettes. The contribution weight of the burnt-sweet aroma component groups decreased in the US blended cigarettes, and that of the British flue-cured type of cigarettes was between the Chinese-style cigarettes and the US blended cigarettes. 3) Chinese-style cigarettes could be effectively distinguished from the foreign cigarettes by PCA. HCA divided the cigarette samples into two categories, Chinese style cigarettes and foreign brands. Furthermore, HCA could separate No. 1 cigarette sample with special aroma structure and No. 11 and No. 12 cigarette samples from the other Chinese style cigarette samples.