Global Artificial Intelligence (AI) In Beauty and Cosmetics Market Size is valued at USD 4.43 Billion in 2024 and is predicted to reach USD 27.65 Billion by the year 2034 at a 20.2% CAGR during the forecast period for 2025-2034.
The beauty and cosmetic industry is experiencing a huge upsurge in the use of Artificial Intelligence (AI). Artificial Intelligence enables the industry to leverage the business by using various applications including developing recommendation engines to find new potential consumers, augmented reality & virtual mirrors enable consumers to select the best product as per their requirements and natural language which is personal beauty assistance expected to create the lucrative opportunity near the future. For instance, Let’s Get Ready is a virtual personal beauty assistant that offers more than 2,000 combinations of makeovers based on individual data. Let’s Get Ready displays visual tutorials, curated looks, beauty tips, and recommended products.
Artificial Intelligence (AI) understands the data behind shopping habits that can be utilized to create virtual retail experiences by using digital platforms. Moreover, based upon similar products shoppers have viewed, liked, or purchased, Cosmetic companies can offer customized recommendations to consumers. Increasing in the e-commerce industry and technological advancement are expected to show lucrative growth in Artificial Intelligence in the beauty and cosmetic market. Moreover, an adaptation of these technologies by the cosmetic industry is expected to drive lucrative growth on market. For instance, at L’Oreal has developed an AI-based skin tracker sensor that can recommend the skin needs.
The global artificial intelligence (AI) in the beauty and cosmetics market is segmented on the basis of Service/Product Types, Applications, Technologies, Distribution Channels, and region. By Service/Product Types, the segmentation includes Personalized Recommendation Tools, Virtual Try-On and AR Tools, Skin and Hair Analysis Platforms, Chatbots and Virtual Assistants, AI-Based Beauty Devices, Demand Forecasting and Supply Chain Tools, Performance Marketing Measurement Platforms. The applications segment comprises Skincare, Makeup, Haircare, Fragrances, Nail Care, Body Care, Wellness Products. Whereas technologies segment includes Computer Vision, Machine Learning (ML), Natural Language Processing (NLP), Generative AI. By Distribution Channels the market is segmented into E-Commerce Platforms, Mobile Apps, In-Store Technologies, Social Media, Specialty Retail. Based on region, the market is studied across North America, Asia-Pacific, Europe, and LAMEA. Among that, Europe held the largest share of the market, followed by America and the Asia Pacific. On the other hand, North America is expected to dominate the market during the analysis of the forecast period.
Artificial Intelligence (AI) In Beauty and Cosmetics Market Report Scope
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 4.43 Billion |
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Revenue Forecast In 2034 |
USD 27.65 Billion |
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Growth Rate CAGR |
CAGR of 20.2% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Million and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Service/Product Types, Applications, Technologies, Distribution Channels |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
AmorePacific, Anua, Beautymix, Beiersdorf (NIVEA SKiN GUiDE), Blank Beauty, Clarins, Cosmax, Coty Inc. (Rimmel), DCYPHER, EpigenCare Inc., Estée Lauder, FaceGym, FTI Foodtech, Function of Beauty LLC, Givaudan, Haut.AI, L’Oréal (ModiFace, Hair Coach), Lilac St., Luna Fofo (FOREO), Lush, My Beauty Matches, New Kinpo Group, Nioxin, Olay (Skin Care App), Orbis, Perfect Corp, Symrise (Philyra), Procter & Gamble (Opte Wand), Proven Skincare, Pure & Mine, Revieve, Sephora USA, Inc. (Virtual Artist), Shiseido (Optune System), Skin Analytics, Skin Match, SkinGenix, Spruce Beauty, The Lip Bar, Toun28, Unilever, YouCam Makeup, Yours Skincare, Youth Laboratories, Youthforia and others |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Global Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) by Service/Product
Global Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) Based on Application
Global Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) Based on Technology
Global Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) Based on Distribution Channel
Global Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) Based on Region
Europe Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) by Country
North America Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) by Country
Asia Pacific Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) by Country
Latin America Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) by Country
Middle East & Africa Artificial Intelligence (AI) in Beauty and Cosmetics Market Revenue (US$ Mn) by Country
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
