To evaluate the quality attributes of Gentiana davidii French. from different producing areas and providing a scientific basis for its quality assessment, an integrated analytical method combining UPLC fingerprinting, chemical pattern recognition and multi-component quantitative analysis was established. The UPLC fingerprint were adopted to establish for G. davidii from different habitats. Chemical pattern recognition techniques, including similarity evaluation, cluster analysis (CA), principal component analysis (PCA), and orthogonal partial least squares-discriminant analysis (OPLS-DA), were employed to evaluate the quality of  G. davidii, followed by multi-index quantitative analysis. The UPLC fingerprint identified 10 common peaks, of which six perks were identified as loganic acid, swertiamarin, gentiopicroside, sweroside, isoorientin, and isovitexin, with the similarity above 0.9. The results of CA, PCA and OPLS-DA indicated that the 13 batches of G. davidii samples were classified into three distinct clusters. Gentiopicroside, sweroside, and isoorientin were screened as quality markers (Q-Markers) by comprehensive analysis. Quantitative analysis of six components  were demonstrated good linearity across respective concentration ranges. The recovery rates were 95.98%-98.72%, with relative standard deviation of 2.7%-5.0%. The content of six components in 13 batches of sample were 0.080 7-1.172 3, 0.045 7-0.269 1, 0.768 8-3.074 7, 0.008 7-0.172 1, 0.054 4-0.298 9, 0.024 1-0.400 0 mg/g, respectively,  and the contents of each components varied among different producing areas.  In conclusion, the qualitative analysis of fingerprint and quantitative analysis of multi-component based on the same chromatographic analysis conditions are convenient, accurate and reliable. Combined with chemical pattern analysis, gentiopicroside, sweroside and isoorientin can be selected as Q-Markers, which can provide reference for quality control and evaluation of  G. davidii.