The fashion industry in the 4^th industrial revolution era is shifting to a paradigm that predicts and responds to consumer demands. Big data technologies are especially receiving an increasing amount of attention in the field of fashion design. Massive user data accumulation allows designers to make more accurate predictions for the latest seasonal fashion trends. A recent study on fashion trend analysis through IT technology was published in 2015 (Lin et al., 2015). However, since the study was accomplished in the field of computer information, the results of data analysis are derived in a biased way. The purpose of this study is to examine traditional trend analysis methods and big data analysis methods in both domestic and overseas’ fashion studies and also to propose a research method for analyzing user-oriented information on fashion design trends to supplement the limitations.