빅데이터로 알아보는 헤어, 뷰티 트렌드에 대한 연구 - 2021 F/W, 2022 S/S를 중심으로 -

다국어 초록 (Multilingual Abstract)

In this study, to predict hair and beauty trend, used Naver Data Lab’s big data. Searching trends for one year that can be searched by category of Naver Data Lab and one for free searching terms that can be searched for 6 years from 2016 to 2022 were analyzed. The results of the beauty trend searching was as follows; The amount of clicks in the cosmetics/beauty field was on the rise. Among the beauty fields, the number of searches for nails was highest. The beauty industry was most interested in the Seoul. In the search volume for the beauty sector in Seoul, body shape management, general beauty, skin, and makeup showed a slight upward curve, while the hair industry a slight downward. The search interest in the beauty industry in Seoul was in the order of Gangnam-gu, Mapo-gu, Songpa-gu, and Seocho-gu. In Seoul, people used more cards hair than the skin/makeup sector, but for women in their over 50s and men in their over 60s, the card usage in the skin/makeup sector gradually exceeded that of the hair. In addition, men's hair field was dominate but women's hair field slightly higher than skin. The results of the hair trend searching was as follows; In the hair sector, search volume was increasing. Beauty salons searching ranking was in the order of Lian Hair, Tori Hair, Juno Hair, Lee Chul Hair Kerker, and ID Hair etc., and the amount of clicks on these were on the rise. The amount of clicks of professional scalp management salon was in the order of WT method, Dr. Scalp, and Welkin, but not increasing. Clicks in the hairstyle are gradually increasing. In many cases, they were searched by mobile, women, and in the 40s and 30s. Popular searching terms for hair styling was a lot of hair dye. The number of clicks of hair styling products was in order of hair wax, hair spray, dye, and perm drugs and it was gradually increasing. Clicks in the hair care sector are increasing, and popular searching terms are functional shampoos, essences, and oils. The aomount of click on hair care products are increasing slightly with shampoo, rinse, treatment, hair essence, and hair mist. Regional card usage for hair was in order of Seoul, Gyeonggi-do, and Busan.

목차 (Table of Contents)

• Abstract
• I. 서론
• II. 연구방법
• III. 이론적 배경
• 1. 뷰티산업
• 2. 빅데이터
• 3. 뷰티산업 분야에서의 빅 데이터
• IV. 뷰티 트렌드
• 1. 화장품/미용분야 검색관심도
• 2. 헤어, 피부관리, 메이크업, 네일 검색관심도
• 3. 뷰티업종 지역별 검색관심도
• 4. 서울특별시의 체형관리, 뷰티일반, 헤어, 피부, 메이크업에 대한 검색관심도
• 5. 서울특별시 지역별 검색 관심도
• 6. 서울특별시 헤어, 피부/메이크업분야 카드사용통계
• V. 헤어 트렌드
• 1. 헤어분야 검색관심도
• 2. 미용실 검색관심도
• 3. 헤어스타일 분야 검색관심도
• 4. 헤어케어 분야 검색관심도
• 5. 지역별 헤어 업종 카드 사용통계
• VI. 결론
• 참고문헌