The purpose of this study is to investigate the public perception of the Athleisure look through Big Data analytics. The study was conducted based on the collection of Big Data on the word 'Athleisure look' through Textom from January 1, 2020 to November 30, 2023. As a result, 136,245 words were collected from a total of 5,158 posts, and the top 50 words were determined based on frequency of appearance. Based on the collected words, centrality measures and CONCOR algorithms were performed using Ucinet 6. The research results are as follows. 1) The frequency of appearance was high in the order of 'Athleisure', 'Athleisure look', 'brand', 'leggings', 'sports', 'fashion', 'sports wear', 'XEXYMIX', 'women' and 'Andar'. These words had high TF-IDF scores, which leads to conclusion that these are key words that are recognized as important. 2) Network centrality shows that 'Athleisure look', 'Athleisure', 'brand', 'leggings', 'sports' have a high correlation with other words. 3) As a result of the CONCOR algorithm, four significant groups were formed. The words that appear in each group are as follows. Group 1: 'Athleisure', 'brand', 'XEXYMIX', 'Andar', 'Market', 'Domestic', 'Premium', 'Lululemon' and 'Sales'. Group 2: 'fashion', 'clothe', 'look', 'product', 'line', 'Function', 'Activity', 'Trend', 'Yoga', 'price', and 'COVID-19'. Group 3: 'Athleisure look', 'woman', 'Recommendation', 'coordi', 'man', 'pants', 'Jogging Pants', 'Pretty', and 'Color'. Group 4: 'leggings', 'sports', 'sports wear', 'daily life', 'style', 'collection', 'design', 'Daily wear', 'Leisure', and 'item'. Through this, it can be confirmed that the public is very interested in the Athleisure look. In particular, brands and products that lead the athleisure trend are considered important, and it can be seen that women are paying attention to leggings.