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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1738958

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1738958

Global Beauty Tech Market Size study, by Technology (Artificial Intelligence (AI), Augmented Reality (AR)), Product Category (Skincare Devices, Cosmetics), by End User, and Regional Forecasts 2022-2032

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Global Beauty Tech Market is valued approximately at USD 56.12 billion in 2023 and is anticipated to grow with an impressive compound annual growth rate of more than 17.90% over the forecast period 2024-2032. The fusion of technology and beauty has ushered in an era where personalized skin diagnostics, AR-powered makeup try-ons, and AI-driven product recommendations are no longer futuristic- they're redefining consumer expectations. Beauty tech is no longer confined to novelty; it's a fundamental pillar of the modern beauty industry, one that enhances customer satisfaction, fuels brand loyalty, and enables real-time customization. From virtual skin assessments to algorithm-curated skincare regimens, tech-enabled beauty solutions are empowering consumers with agency and brands with insights at an unprecedented scale.

Accelerated by the growing penetration of smartphones and the consumer shift toward e-commerce, the beauty tech landscape is witnessing rapid innovation. Artificial intelligence plays a central role in delivering personalized skincare suggestions, detecting underlying skin issues, and analyzing vast datasets from user interactions. Simultaneously, augmented reality enables seamless virtual try-ons of lipsticks, foundations, and eye products-transforming mobile screens into smart mirrors. As physical store visits decline and omnichannel experiences rise, brands are investing heavily in immersive digital tools to bridge the sensory gap of online shopping, reduce return rates, and increase consumer confidence.

Driving the market's upward trajectory is the rising demand for precision beauty-consumers want what works for them, not for the masses. Beauty tech facilitates that level of granularity by integrating machine learning models with user feedback loops, bioinformatics, and even wearables. Key innovations such as smart hairbrushes, UV-detecting skincare, and AI-based skin aging analysis are turning beauty into a data-driven science. However, challenges around data privacy, algorithmic fairness, and device affordability remain significant. Emerging players must tread a fine line between innovation and ethical transparency to retain consumer trust in a hypercompetitive, socially aware marketplace.

Meanwhile, beauty brands are undergoing a structural transformation. Many are evolving from product-centric models to service-and-experience ecosystems powered by technology. These developments are not limited to consumer-facing interfaces-backend logistics are also getting a facelift. AI is optimizing inventory management, AR is enhancing digital shelf visibility, and computer vision is enabling smart packaging. Furthermore, inclusive beauty is now being defined not just by skin tone but by tech inclusivity-ensuring digital tools cater to diverse ethnicities, skin conditions, and personal preferences, ensuring equitable representation across digital experiences.

Geographically, North America dominates the global beauty tech market, backed by its technologically mature retail infrastructure and aggressive digital adoption by beauty conglomerates. Europe follows closely, fueled by innovation hubs in France and Germany and rising consumer emphasis on sustainable, tech-integrated beauty. The Asia Pacific region is poised to witness the fastest growth, thanks to beauty-savvy Gen Z populations, booming K-beauty trends, and high smartphone penetration in countries like China, South Korea, and India. Latin America and the Middle East & Africa are also rising steadily, driven by influencer-driven commerce, localized tech collaborations, and increasing awareness of digital beauty solutions.

Major market player included in this report are:

  • L'Oreal Group
  • Perfect Corp
  • Procter & Gamble Co.
  • Revieve Oy
  • Modiface (L'Oreal)
  • Unilever plc
  • Shiseido Company, Limited
  • Johnson & Johnson
  • FOREO
  • Panasonic Corporation
  • Nu Skin Enterprises, Inc.
  • HiMirror (New Kinpo Group)
  • Olay (Procter & Gamble)
  • Skin Inc. Supplement Bar
  • Amorepacific Corporation

The detailed segments and sub-segment of the market are explained below:

By Technology

  • Artificial Intelligence (AI)
  • Augmented Reality (AR)

By Product Category

  • Skincare Devices
  • Cosmetics

By End User

  • Men
  • Women
  • Unisex

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of MEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Beauty Tech Market Executive Summary

  • 1.1. Global Beauty Tech Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Technology
    • 1.3.2. By Product Category
    • 1.3.3. By End User
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Beauty Tech Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Technology Availability
      • 2.3.3.2. Infrastructure & Connectivity
      • 2.3.3.3. Regulatory Environment (Data Privacy, Safety)
      • 2.3.3.4. Vendor Competition
      • 2.3.3.5. Economic Viability (Brand Investment)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Consumer Digital Adoption
      • 2.3.4.2. E-commerce Penetration
      • 2.3.4.3. Personalization Expectations
      • 2.3.4.4. Inclusivity & Diversity Trends
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Beauty Tech Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Demand for Hyper-Personalized Beauty Solutions
    • 3.1.2. Rapid Smartphone & IoT Penetration
    • 3.1.3. Shift Toward Omnichannel Digital Experiences
  • 3.2. Market Challenges
    • 3.2.1. Data Privacy & Security Concerns
    • 3.2.2. Algorithmic Fairness & Inclusivity
    • 3.2.3. High Device & Implementation Costs
  • 3.3. Market Opportunities
    • 3.3.1. Emergence of AR-Powered Retail Solutions
    • 3.3.2. AI-Driven R&D and Product Formulation
    • 3.3.3. Expansion of Virtual Beauty Communities

Chapter 4. Global Beauty Tech Market Industry Analysis

  • 4.1. Porter's Five Forces Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's Model
    • 4.1.7. Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economic
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunities
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspectives
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Beauty Tech Market Size & Forecasts by Technology (2022-2032)

  • 5.1. Segment Dashboard
  • 5.2. Artificial Intelligence (AI) Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 5.3. Augmented Reality (AR) Revenue Trend Analysis, 2022 & 2032 (USD Billion)

Chapter 6. Global Beauty Tech Market Size & Forecasts by Product Category (2022-2032)

  • 6.1. Segment Dashboard
  • 6.2. Skincare Devices Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 6.3. Cosmetics Revenue Trend Analysis, 2022 & 2032 (USD Billion)

Chapter 7. Global Beauty Tech Market Size & Forecasts by End User (2022-2032)

  • 7.1. Segment Dashboard
  • 7.2. Men Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 7.3. Women Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 7.4. Unisex Revenue Trend Analysis, 2022 & 2032 (USD Billion)

Chapter 8. Global Beauty Tech Market Size & Forecasts by Region (2022-2032)

  • 8.1. North America Beauty Tech Market
    • 8.1.1. U.S. Beauty Tech Market
      • 8.1.1.1. By Technology, 2022-2032
      • 8.1.1.2. By Product Category, 2022-2032
      • 8.1.1.3. By End User, 2022-2032
    • 8.1.2. Canada Beauty Tech Market
  • 8.2. Europe Beauty Tech Market
    • 8.2.1. UK Market
    • 8.2.2. Germany Market
    • 8.2.3. France Market
    • 8.2.4. Spain Market
    • 8.2.5. Italy Market
    • 8.2.6. Rest of Europe Market
  • 8.3. Asia Pacific Beauty Tech Market
    • 8.3.1. China Market
    • 8.3.2. India Market
    • 8.3.3. Japan Market
    • 8.3.4. Australia Market
    • 8.3.5. South Korea Market
    • 8.3.6. Rest of Asia Pacific Market
  • 8.4. Latin America Beauty Tech Market
    • 8.4.1. Brazil Market
    • 8.4.2. Mexico Market
  • 8.5. Middle East & Africa Beauty Tech Market
    • 8.5.1. Saudi Arabia Market
    • 8.5.2. South Africa Market
    • 8.5.3. Rest of MEA Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
    • 9.1.1. L'Oreal Group
    • 9.1.2. Perfect Corp
    • 9.1.3. Procter & Gamble Co.
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. L'Oreal Group
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. Perfect Corp
    • 9.3.3. Procter & Gamble Co.
    • 9.3.4. Revieve Oy
    • 9.3.5. Modiface (L'Oreal)
    • 9.3.6. Unilever plc
    • 9.3.7. Shiseido Company, Limited
    • 9.3.8. Johnson & Johnson
    • 9.3.9. FOREO
    • 9.3.10. Panasonic Corporation
    • 9.3.11. Nu Skin Enterprises, Inc.
    • 9.3.12. HiMirror (New Kinpo Group)
    • 9.3.13. Olay (Procter & Gamble)
    • 9.3.14. Skin Inc. Supplement Bar
    • 9.3.15. Amorepacific Corporation

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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