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市场调查报告书
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1889258

人工智慧美妆科技市场预测至2032年：按产品、技术、应用、最终用户和地区分類的全球分析

AI Beauty Tech Market Forecasts to 2032 - Global Analysis By Product (Mobile Applications, Web-Based Platforms, Handheld Devices with AI Integration, Augmented Reality (AR) Mirrors and Other Products), Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球 AI 美容技术市场价值将达到 21.2 亿美元，到 2032 年将达到 69.5 亿美元，在预测期内的复合年增长率为 18.5%。

人工智慧美妆科技是指利用人工智慧技术，让美容和化妆品体验更加个人化、便利高效。其主要应用包括虚拟试妆工具、人工智慧护肤分析、预测性建议以及基于个人皮肤数据的自动产品处方。这些技术运用机器学习、电脑视觉和巨量资料，精准评估皮肤状况，追踪皮肤随时间的变化，并提供个人化的优化美容方案。市场成长的驱动力在于消费者对高度个人化、数位互动和高效产品选择的需求不断增长。人工智慧美妆科技也能帮助美妆品牌提升产品创新、行销效果和顾客体验。

护肤和美容行业对个人化的需求日益增长

使用者需要根据肤质、生活方式和环境暴露量身定制专属的护肤方案、产品推荐和肌肤状况追踪。该平台运用脸部映射、电脑视觉和机器学习技术来分析肌肤纹理、肤色和发炎情况。与行动应用、AR智慧镜和远端皮肤科咨询的整合，提升了平台的易用性和用户参与度。健康消费者、皮肤科诊所和化妆品品牌对数据驱动的个人化护肤方案的需求日益增长。这些趋势正推动该平台在人工智慧驱动的皮肤分析生态系统中广泛应用。

资料隐私、安全和监管问题

脸部影像、生物识别资料和健康相关资讯需要强大的加密技术、完善的授权管理以及对当地法律法规的遵守。企业在满足 HIPAA、GDPR 和化妆品标籤标准的同时，还要兼顾性能和个人化，这无疑是一项挑战。缺乏统一的框架或第三方检验进一步加剧了实施和跨境扩张的复杂性。供应商必须投资隐私仪表板、符合伦理的人工智慧和透明的资料管治，才能建立信任。这些限制因素持续阻碍以合规为导向的消费者护肤市场平台的成熟度。

皮肤相关疾病增加和消费者意识提高

生活方式压力和环境因素导致痤疮、湿疹、酒糟和色素沉着等皮肤问题日益增加。该平台利用影像分析和预测建模技术，提供即时追踪、严重程度评分和治疗优化方案。与皮肤科诊疗流程、健康应用程式和产品生态系统的整合，可提高治疗效果和依从性。年轻肌肤、老龄化和敏感肌肤族群对便利、精准且针对特定症状的工具的需求日益增长。这些趋势正在推动以健康为导向、人工智慧驱动的护肤平台整体发展。

标准化、认证和监管方面缺乏明确性。

诊断辅助、美容增强和医疗级分析的定义因司法管辖区而异，这使得定位和合规变得复杂。企业在符合皮肤病学标准、化妆品法规和人工智慧伦理框架方面面临许多挑战。缺乏认证机构和性能基准进一步削弱了信任和互通性。供应商必须透过与监管机构沟通、投资临床试验以及遵守新兴的人工智慧健康标准来降低风险。这些限制持续限制跨司法管辖区、监管敏感的护肤系统中的平台性能。

新冠疫情的影响：

疫情加速了全球市场对数位化皮肤科、远距离诊断和皮肤健康意识的接受度。封锁措施中断了线下就诊，导致人们对虚拟咨询、人工智慧分析和居家护肤指导的需求激增。各大平台迅速扩展，透过行动和网路管道提供痤疮监测、皮肤老化追踪和个人化护肤方案。Start-Ups、诊所和化妆品品牌纷纷增加对远距皮肤科咨询、云端基础设施和消费者人工智慧的投资。媒体和消费者群体对皮肤健康、压力影响和数位健康的关注度也日益提高。这些变化正在推动对人工智慧赋能的混合型护肤基础设施的长期投资。

预计在预测期内，痤疮检测和监测领域将占据最大的市场份额。

由于痤疮检测和监测领域拥有较高的普及率、消费者需求以及与人工智慧分析的兼容性，预计在预测期内，该领域将占据最大的市场份额。相关平台利用影像识别、严重程度评分和进度追踪等技术来指南治疗方法和产品选择。与行动应用、远距皮肤科咨询和日常护肤流程的整合，能够提升使用者参与度和留存率。青少年、成年人和注重健康的消费者群体对精准、非侵入性且个人化的痤疮管理工具的需求日益增长。供应商提供经皮肤科医生认可的演算法、日常流程整合以及进度仪錶盘，以方便使用者使用。这些功能进一步巩固了专注于痤疮的人工智慧美容科技平台在该领域的领先地位。

预计深度学习在预测期内将以最高的复合年增长率成长。

在预测期内，深度学习领域预计将保持最高的成长率，这主要得益于用于皮肤分析的影像分类、模式识别和预测建模平台的扩展。这些模型利用大量数据和神经网络，支援多症状检测、即时回馈和自适应个人化。与云端基础设施、行动应用和扩增实境（AR）介面的集成，增强了扩充性和用户体验。皮肤科诊所、化妆品品牌和健康平台对高精度、可解释性和多功能人工智慧的需求日益增长。供应商提供模组化引擎、API介面和临床检验，以促进应用实施。这些趋势正在推动深度学习驱动的人工智慧美容科技平台和服务的发展。

占比最大的地区：

预计在预测期内，北美将保持最大的市场份额，这主要得益于皮肤病医疗基础设施的进步、人工智慧投资以及皮肤分析平台监管准备的完善。各公司正在诊所、药房和化妆品品牌部署相关工具，以辅助个人化诊断和产品匹配。对云端迁移、符合伦理规范的人工智慧以及消费者教育的投资，有助于扩充性和可靠性。主要供应商、研究机构和政策框架的存在，正在推动生态系统的深化和应用。各公司正在调整其人工智慧美容技术策略，使其与美国食品药物管理局 (FDA) 的指导方针、健康趋势和数位健康目标保持一致。这些因素共同推动了北美在人工智慧美容技术商业化和平台应用方面的领先地位。

年复合成长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，美容创新、行动普及率和日益增长的皮肤敏感性将持续推动该地区经济的成长。韩国、日本、中国和印度等国家正在经历痤疮、老化和色素沉着等领域的平台扩张。政府支持计画正在扶持生物技术孵化、化妆品出口以及护肤Start-Ups的数位健康发展。本地供应商正在提供符合当地文化、行动优先且以健康为导向的解决方案，以满足不同肤质和习惯的需求。年轻的都市区、老龄化人口以及清洁美容消费群体正在推动对温和、整体和人工智慧驱动的护肤的需求。这些趋势正在加速亚太地区人工智慧美容科技的创新和基础设施建设。

免费客製化服务：

购买此报告的客户可享有以下免费自订选项之一：

  • 公司概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算和预测，以及复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要参与者的产品系列、地理覆盖范围和策略联盟基准化分析

目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章 全球人工智慧美容技术市场（按产品划分）

  • 行动应用
  • 网路为基础的平台
  • 整合人工智慧的手持设备
  • 扩增实境（AR）镜
  • 自助式皮肤分析系统
  • 穿戴式皮肤分析仪
  • 其他产品

第六章 全球人工智慧美容科技市场（按技术划分）

  • 电脑视觉
  • 机器学习
  • 深度学习
  • 自然语言处理（NLP）
  • 扩增实境（AR）集成
  • 三维成像和表面测绘
  • 基于云端的人工智慧模型
  • 边缘运算
  • 其他技术

第七章 全球人工智慧美容技术市场（按应用划分）

  • 痤疮检测与监测
  • 细纹和皱纹分析
  • 色素沉淀和瑕疵检测
  • 毛孔大小和纹理映射
  • 紫外线损伤和日晒评估
  • 水分和弹性监测
  • 肤色分类
  • 其他用途

第八章 全球人工智慧美容技术市场（按最终用户划分）

  • 化妆品和护肤品牌
  • 药局/零售连锁店
  • 一般用户和消费者
  • 研究机构和大学
  • 人工智慧技术开发公司
  • 其他最终用户

9. 全球人工智慧美妆技术市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • L'Oreal SA
  • Shiseido Company Limited
  • Procter &Gamble Company
  • Johnson &Johnson Services Inc.
  • Unilever PLC
  • Beiersdorf AG
  • Revieve Oy
  • Haut.AI OU
  • Perfect Corp.
  • FitSkin Inc.
  • SkinGenie Inc.
  • LabSkin Ltd.
  • Cutitronics Ltd.
  • SkinTrust Club Ltd.
  • Beauty.AI Inc.
Product Code: SMRC32718

According to Stratistics MRC, the Global AI Beauty Tech Market is accounted for $2.12 billion in 2025 and is expected to reach $6.95 billion by 2032 growing at a CAGR of 18.5% during the forecast period. AI beauty tech encompasses artificial intelligence-powered technologies that enhance the personalization, accessibility, and effectiveness of beauty and cosmetic experiences. Applications include virtual try-on tools, AI-driven skincare analysis, predictive recommendations, and automated formulation of products based on individual skin data. These technologies leverage machine learning, computer vision, and big data to provide precise assessments of skin conditions, track changes over time, and offer tailored beauty solutions. The market growth is driven by consumer demand for hyper-personalization, digital engagement, and efficiency in product selection. AI beauty tech also supports beauty brands in product innovation, marketing, and improved customer experiences.

Market Dynamics:

Driver:

Growing demand for personalization in skincare & beauty

Users seek tailored routines product recommendations and condition tracking based on skin type lifestyle and environmental exposure. Platforms use facial mapping computer vision and machine learning to analyze texture tone and inflammation. Integration with mobile apps AR mirrors and teledermatology enhances accessibility and engagement. Demand for data-driven personalized and routine-integrated solutions is rising across wellness consumers dermatology clinics and cosmetic brands. These dynamics are propelling platform deployment across AI-enabled skin analysis ecosystems.

Restraint:

Data privacy, security and regulatory concerns

Facial images biometric data and health-linked insights require robust encryption consent management and compliance with regional laws. Enterprises face challenges in meeting HIPAA GDPR and cosmetic labeling standards while maintaining performance and personalization. Lack of harmonized frameworks and third-party validation further complicates adoption and cross-border expansion. Vendors must invest in privacy dashboards ethical AI and transparent data governance to build trust. These constraints continue to hinder platform maturity across compliance-sensitive and consumer-facing skincare markets.

Opportunity:

Increasing prevalence of skin-related conditions & consumer awareness

Conditions such as acne eczema rosacea and pigmentation are rising due to lifestyle stress and environmental factors. Platforms offer real-time tracking severity scoring and treatment optimization using image analysis and predictive modeling. Integration with dermatology workflows wellness apps and product ecosystems enhances impact and continuity. Demand for accessible accurate and condition-responsive tools is rising across youth aging and sensitive skin segments. These trends are fostering growth across health-aligned and AI-powered skincare platforms.

Threat:

Lack of standardization, certification and regulatory clarity

Definitions of diagnostic support cosmetic enhancement and medical-grade analysis vary across jurisdictions which complicates positioning and compliance. Enterprises face challenges in aligning with dermatology standards cosmetic regulations and AI ethics frameworks. Absence of certification bodies and performance benchmarks further degrades trust and interoperability. Vendors must engage with regulators invest in clinical trials and align with emerging AI health standards to reduce risk. These limitations continue to constrain platform performance across multi-jurisdictional and regulation-sensitive skincare ecosystems.

Covid-19 Impact:

The pandemic accelerated digital dermatology remote diagnostics and skin health awareness across global markets. Lockdowns disrupted in-person visits and increased demand for virtual consultations AI-powered analysis and at-home skincare guidance. Platforms scaled rapidly to offer acne monitoring skin aging tracking and personalized routines via mobile and web channels. Investment in teledermatology cloud infrastructure and consumer-facing AI surged across startups clinics and cosmetic brands. Public awareness of skin health stress impact and digital wellness increased across media and consumer circles. These shifts are reinforcing long-term investment in AI-enabled and hybrid skincare infrastructure.

The acne detection & monitoring segment is expected to be the largest during the forecast period

The acne detection & monitoring segment is expected to account for the largest market share during the forecast period due to its prevalence consumer demand and compatibility with AI analysis. Platforms use image recognition severity scoring and progress tracking to guide treatment and product selection. Integration with mobile apps teledermatology and skincare routines enhances engagement and adherence. Demand for accurate non-invasive and personalized acne tools is rising across teens adults and wellness consumers. Vendors offer dermatologist-backed algorithms routine integration and progress dashboards to support adoption. These capabilities are boosting segment dominance across acne-focused AI Beauty Tech platforms.

The deep learning segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the deep learning segment is predicted to witness the highest growth rate as platforms expand across image classification pattern recognition and predictive modeling in skin analysis. Models support multi-condition detection real-time feedback and adaptive personalization using large datasets and neural networks. Integration with cloud infrastructure mobile apps and AR interfaces enhances scalability and user experience. Demand for high-accuracy explainable and multi-functional AI is rising across dermatology clinics cosmetic brands and wellness platforms. Vendors offer modular engines API access and clinical validation to support deployment. These dynamics are accelerating growth across deep learning-driven AI Beauty Tech platforms and services.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its dermatology infrastructure AI investment and regulatory engagement across skin analysis platforms. Enterprises deploy tools across clinics pharmacies and cosmetic brands to support diagnostics personalization and product matching. Investment in cloud migration ethical AI and consumer education supports scalability and trust. Presence of leading vendors research institutions and policy frameworks drives ecosystem depth and adoption. Firms align AI Beauty Tech strategies with FDA guidance wellness trends and digital health goals. These factors are propelling North America's leadership in AI Beauty Tech commercialization and platform deployment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as beauty innovation mobile penetration and skin sensitivity converge across regional economies. Countries like South Korea Japan China and India scale platforms across acne aging and pigmentation segments. Government-backed programs support biotech incubation cosmetic exports and digital wellness across skincare startups. Local providers offer culturally adapted mobile-first and wellness-aligned solutions tailored to diverse skin types and routines. Demand for gentle inclusive and AI-powered skincare is rising across urban youth aging populations and clean beauty consumers. These trends are accelerating regional growth across Asia Pacific's AI Beauty Tech innovation and infrastructure.

Key players in the market

Some of the key players in AI Beauty Tech Market include L'Oreal S.A., Shiseido Company Limited, Procter & Gamble Company, Johnson & Johnson Services Inc., Unilever PLC, Beiersdorf AG, Revieve Oy, Haut.AI OU, Perfect Corp., FitSkin Inc., SkinGenie Inc., LabSkin Ltd., Cutitronics Ltd., SkinTrust Club Ltd. and Beauty.AI Inc.

Key Developments:

In October 2025, L'Oreal entered a strategic alliance with Kering Group to explore business opportunities in AI-driven beauty, wellness, and longevity. The agreement included joint R&D initiatives and licensing of Kering's luxury beauty brands, aiming to integrate AI diagnostics and personalized skincare into high-end wellness offerings.

In May 2024, P&G expanded its joint venture initiatives by deepening collaborations with AI-driven dermatology platforms and consumer data analytics firms. These partnerships supported the development of personalized skincare solutions using facial recognition and skin condition mapping, enhancing P&G's precision beauty offerings across Olay and SK-II.

Products Covered:

  • Mobile Applications
  • Web-Based Platforms
  • Handheld Devices with AI Integration
  • Augmented Reality (AR) Mirrors
  • Kiosk-Based Skin Analysis Systems
  • Wearable Skin Analyzers
  • Other Products

Technologies Covered:

  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Augmented Reality (AR) Integration
  • 3D Imaging and Surface Mapping
  • Cloud-Based AI Models
  • Edge Computing
  • Other Technologies

Applications Covered:

  • Acne Detection and Monitoring
  • Fine Line and Wrinkle Analysis
  • Pigmentation and Dark Spot Detection
  • Pore Size and Texture Mapping
  • UV Damage and Sun Exposure Assessment
  • Hydration and Elasticity Monitoring
  • Skin Tone Classification
  • Other Applications

End Users Covered:

  • Cosmetic and Skincare Brands
  • Pharmacies and Retail Chains
  • Home Users and Consumers
  • Research Institutes and Universities
  • AI Technology Developers
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 Technology Analysis
  • 3.8 Application Analysis
  • 3.9 End User Analysis
  • 3.10 Emerging Markets
  • 3.11 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Beauty Tech Market, By Product

  • 5.1 Introduction
  • 5.2 Mobile Applications
  • 5.3 Web-Based Platforms
  • 5.4 Handheld Devices with AI Integration
  • 5.5 Augmented Reality (AR) Mirrors
  • 5.6 Kiosk-Based Skin Analysis Systems
  • 5.7 Wearable Skin Analyzers
  • 5.8 Other Products

6 Global AI Beauty Tech Market, By Technology

  • 6.1 Introduction
  • 6.2 Computer Vision
  • 6.3 Machine Learning
  • 6.4 Deep Learning
  • 6.5 Natural Language Processing (NLP)
  • 6.6 Augmented Reality (AR) Integration
  • 6.7 3D Imaging and Surface Mapping
  • 6.8 Cloud-Based AI Models
  • 6.9 Edge Computing
  • 6.10 Other Technologies

7 Global AI Beauty Tech Market, By Application

  • 7.1 Introduction
  • 7.2 Acne Detection and Monitoring
  • 7.3 Fine Line and Wrinkle Analysis
  • 7.4 Pigmentation and Dark Spot Detection
  • 7.5 Pore Size and Texture Mapping
  • 7.6 UV Damage and Sun Exposure Assessment
  • 7.7 Hydration and Elasticity Monitoring
  • 7.8 Skin Tone Classification
  • 7.9 Other Applications

8 Global AI Beauty Tech Market, By End User

  • 8.1 Introduction
  • 8.2 Cosmetic and Skincare Brands
  • 8.3 Pharmacies and Retail Chains
  • 8.4 Home Users and Consumers
  • 8.5 Research Institutes and Universities
  • 8.6 AI Technology Developers
  • 8.7 Other End Users

9 Global AI Beauty Tech Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 L'Oreal S.A.
  • 11.2 Shiseido Company Limited
  • 11.3 Procter & Gamble Company
  • 11.4 Johnson & Johnson Services Inc.
  • 11.5 Unilever PLC
  • 11.6 Beiersdorf AG
  • 11.7 Revieve Oy
  • 11.8 Haut.AI OU
  • 11.9 Perfect Corp.
  • 11.10 FitSkin Inc.
  • 11.11 SkinGenie Inc.
  • 11.12 LabSkin Ltd.
  • 11.13 Cutitronics Ltd.
  • 11.14 SkinTrust Club Ltd.
  • 11.15 Beauty.AI Inc.

List of Tables

  • Table 1 Global AI Beauty Tech Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Beauty Tech Market Outlook, By Product (2024-2032) ($MN)
  • Table 3 Global AI Beauty Tech Market Outlook, By Mobile Applications (2024-2032) ($MN)
  • Table 4 Global AI Beauty Tech Market Outlook, By Web-Based Platforms (2024-2032) ($MN)
  • Table 5 Global AI Beauty Tech Market Outlook, By Handheld Devices with AI Integration (2024-2032) ($MN)
  • Table 6 Global AI Beauty Tech Market Outlook, By Augmented Reality (AR) Mirrors (2024-2032) ($MN)
  • Table 7 Global AI Beauty Tech Market Outlook, By Kiosk-Based Skin Analysis Systems (2024-2032) ($MN)
  • Table 8 Global AI Beauty Tech Market Outlook, By Wearable Skin Analyzers (2024-2032) ($MN)
  • Table 9 Global AI Beauty Tech Market Outlook, By Other Products (2024-2032) ($MN)
  • Table 10 Global AI Beauty Tech Market Outlook, By Technology (2024-2032) ($MN)
  • Table 11 Global AI Beauty Tech Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 12 Global AI Beauty Tech Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 13 Global AI Beauty Tech Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 14 Global AI Beauty Tech Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 15 Global AI Beauty Tech Market Outlook, By Augmented Reality (AR) Integration (2024-2032) ($MN)
  • Table 16 Global AI Beauty Tech Market Outlook, By 3D Imaging and Surface Mapping (2024-2032) ($MN)
  • Table 17 Global AI Beauty Tech Market Outlook, By Cloud-Based AI Models (2024-2032) ($MN)
  • Table 18 Global AI Beauty Tech Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 19 Global AI Beauty Tech Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 20 Global AI Beauty Tech Market Outlook, By Application (2024-2032) ($MN)
  • Table 21 Global AI Beauty Tech Market Outlook, By Acne Detection and Monitoring (2024-2032) ($MN)
  • Table 22 Global AI Beauty Tech Market Outlook, By Fine Line and Wrinkle Analysis (2024-2032) ($MN)
  • Table 23 Global AI Beauty Tech Market Outlook, By Pigmentation and Dark Spot Detection (2024-2032) ($MN)
  • Table 24 Global AI Beauty Tech Market Outlook, By Pore Size and Texture Mapping (2024-2032) ($MN)
  • Table 25 Global AI Beauty Tech Market Outlook, By UV Damage and Sun Exposure Assessment (2024-2032) ($MN)
  • Table 26 Global AI Beauty Tech Market Outlook, By Hydration and Elasticity Monitoring (2024-2032) ($MN)
  • Table 27 Global AI Beauty Tech Market Outlook, By Skin Tone Classification (2024-2032) ($MN)
  • Table 28 Global AI Beauty Tech Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 29 Global AI Beauty Tech Market Outlook, By End User (2024-2032) ($MN)
  • Table 30 Global AI Beauty Tech Market Outlook, By Cosmetic and Skincare Brands (2024-2032) ($MN)
  • Table 31 Global AI Beauty Tech Market Outlook, By Pharmacies and Retail Chains (2024-2032) ($MN)
  • Table 32 Global AI Beauty Tech Market Outlook, By Home Users and Consumers (2024-2032) ($MN)
  • Table 33 Global AI Beauty Tech Market Outlook, By Research Institutes and Universities (2024-2032) ($MN)
  • Table 34 Global AI Beauty Tech Market Outlook, By AI Technology Developers (2024-2032) ($MN)
  • Table 35 Global AI Beauty Tech Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.