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市场调查报告书
商品编码
1859795

全球人工智慧美容诊断市场：预测至2032年－按组件、技术、应用、最终用户和地区分類的分析

AI-Powered Beauty Diagnostics Market Forecasts to 2032 - Global Analysis By Component, Technology, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球人工智慧美容诊断市场预计到 2025 年将达到 48 亿美元，到 2032 年将达到 203 亿美元，预测期内复合年增长率为 22.7%。

人工智慧驱动的美容诊断利用影像处理、频谱扫描和机器学习技术，评估皮肤状况、水分、质地、色素沉着、油脂分泌和老化程度，从而提供个人化的产品推荐和护理方案。这些平台支援长期监测、远端咨询和客製化照护方案，能够提升零售商和品牌的互动率和转换率。市场成长将主要由个人化、直接面向消费者（DTC）模式和全通路整合所驱动。

电子商务与「先试后买」的兴起

线上美妆零售的快速扩张以及消费者对非接触式、便捷购物方式的偏好，正推动人工智慧诊断和虚拟试妆工具的普及，从而降低消费者的购买不确定性。透过分析自拍照、皮肤状况数据和购买历史，人工智慧平台能够提供个人化的帘子匹配和产品推荐，从而降低退货率并提高转换率。此外，这些工具还能帮助品牌将商店购物体验复製到行动和网路管道，支援全通路策略，并显着提升客户参与和终身价值。

准确性和可靠性的局限性

儘管市场需求强劲，但影像处理、资料集多样性和演算法训练方面的技术限制，导致模型在不同肤色和光照条件下的诊断准确性不足。由于训练资料和临床影像集偏向较浅的肤色，模型在较深肤色上的表现往往较差，从而导致诊断结果不一致，并受到监管机构的审查。此外，自拍影像品质的差异、不同设备相机之间的差异以及缺乏标准化的临床标籤，都使得检验变得困难。这些可靠性方面的不足会延缓企业的采购进程，需要进行严格的临床检验，并需要持续投资于全面的资料集和测试。

拓展至男士护理及健康领域

男士护理、个人健康和预防性护肤等尚未充分开发的细分市场为人工智慧诊断提供了巨大的成长潜力。品牌可以利用皮肤和毛髮分析结果，提供针对男士日常习惯的精准处方、订阅方案和健康指导；而专业的健康管道则可以将诊断结果整合到远端咨询服务中。此外，将诊断结果与营养补充品、膳食补充品和健康设备进行交叉销售，也能创造新的生态系收入来源。

消费者的怀疑态度和对「噱头」的看法

消费者信任至关重要，如果人工智慧功能被视为新奇噱头或行销手段而非实用诊断工具，则这种信任会受到损害。过度夸大的准确率保证、不透明的推荐逻辑以及糟糕的售后服务都可能导致负面评价，并降低消费者共用个人资料的意愿。此外，围绕着生物辨识和皮肤健康数据的隐私担忧，以及数据处理方式不明朗，都会加剧消费者的疑虑。

新冠疫情的影响：

疫情迅速改变了消费者的行为和零售营运模式，在实体商店试用活动减少的情况下，虚拟试穿、非接触式探索和数位化诊断等技术的普及速度加快。直接影响是应用程式使用量激增，以及AR/AI工具的快速部署以维持销售的连续性，但资源分配不均和仓促部署也造成了用户体验的差异。从长远来看，疫情时代的变革强化了全通路策略，并促使企业持续投资于数位化工具，从而减少对实体试用者的依赖，同时提升消费者的卫生水平和便利性。

预计在预测期内，软体和平台板块将成为最大的板块。

预计在预测期内，软体和平台细分市场将占据最大的市场份额。软体套件整合了机构和品牌扩展业务所需的诊断引擎、产品目录和分析仪表板。其优势包括管治管理、医疗保健数据的合规性管理以及与客户关係管理 (CRM) 和电子商务系统的轻鬆整合。提供端到端平台的供应商通常会捆绑专业服务和资料标註支持，从而缩短企业客户的价值实现时间，并鼓励签订多年期合约。这种销售模式正在推动软体和平台细分市场份额的成长。

预计机器学习和深度学习演算法细分市场在预测期内将实现最高的复合年增长率。

预计在预测期内，机器学习和深度学习演算法领域将呈现最高的成长率。卷积类神经网路、 变压器架构和联邦学习等架构的进步正在提升皮肤和妆容诊断的能力和便携性。演算法创新能够更精细地提取色素沉着、纹理和病变检测的特征，从而减少误报并支援设备端推理，保护用户隐私。此外，对模型可解释性和偏差缓解的持续投入正在提升企业的信誉度。随着研发和运算成本的下降，演算法改进正迅速实现商业化，推动该技术领域实现最高成长。

占比最高的地区：

预计北美将在预测期内占据最大的市场份额。北美拥有成熟的电子商务环境、消费者在美容和健康领域的高支出，以及许多新兴企业和成熟品牌快速采用诊断和扩增实境（AR）技术。完善的健康科技和资料隐私法规、充足的创业投资资金以及先进的云端基础设施，都为产品开发、检验研究和商业部署提供了便利。此外，蓬勃发展的零售通路和企业在人工智慧应用案例方面的学习，正在加速美容品牌、零售商和技术供应商之间的伙伴关係，从而巩固北美在商业领域的主导地位。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率。亚太地区庞大的数位化人口、智慧型手机的快速普及以及对美容创新的浓厚文化热情，将加速人工智慧诊断技术的普及。本地新兴企业提供低成本、行动优先的解决方案和区域在地化的资料集，克服了语言和肤色障碍；同时，全球供应商正拓展与传统零售商和直销品牌的伙伴关係。个人护理支出的成长、强大的网红生态系统以及公共和私人数位化措施的支持，将进一步推动全部区域人工智慧诊断技术的普及和市场成长。

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    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

第五章 全球人工智慧美容诊断市场（按组件划分）

  • 软体和平台
    • 云端基础的
    • 本地部署
  • 服务
    • 专业服务
    • 託管服务

第六章 全球人工智慧美容诊断市场（依技术划分）

  • 电脑视觉与影像分析
  • 自然语言处理（NLP）
  • 机器学习和深度学习演算法
  • 扩增实境（AR）和虚拟试穿

第七章 全球人工智慧美容诊断市场（按应用划分）

  • 护肤分析与诊断
    • 皮肤类型和状况评估
    • 痤疮和瑕疵检测
    • 抗衰老和皱纹分析
    • 检测晒伤和紫外线引起的斑点
  • 头髮护理和头皮分析
  • 化妆品推荐，虚拟试妆
  • 皮肤科/临床应用

第八章 全球人工智慧美容诊断市场（按最终用户划分）

  • 个人消费者（B2C）
  • 美容和化妆品公司（B2B）
  • 美容美髮/水疗中心
  • 皮肤科诊所/医疗水疗中心
  • 零售商、电子商务平台

第九章 全球人工智慧美容诊断市场（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
    • 其他南美洲
  • 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：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • Perfect Corp.
  • L'Oreal Group
  • Procter & Gamble Co.
  • Revieve
  • Haut.AI
  • SkinVision
  • Skinive
  • Skin Analytics
  • HiMirror Inc.
  • Johnson & Johnson
  • Curology
  • Atolla
  • Function of Beauty
  • Shiseido Company, Limited
  • Beiersdorf AG
  • PulpoAR
Product Code: SMRC32019

According to Stratistics MRC, the Global AI-Powered Beauty Diagnostics Market is accounted for $4.8 billion in 2025 and is expected to reach $20.3 billion by 2032, growing at a CAGR of 22.7% during the forecast period. AI-powered beauty diagnostics use imaging, multispectral scanning, and machine learning to evaluate skin conditions, hydration, texture, pigmentation, sebum, and aging and provide personalized product recommendations and treatment plans. These platforms enable longitudinal monitoring, remote consultations, and tailored regimens, improving engagement and conversion for retailers and brands. Market growth is propelled by personalization, DTC models, and omnichannel integration.

Market Dynamics:

Driver:

Rise of E-commerce & "Try-Before-You-Buy"

The rapid expansion of online beauty retail and consumers' preference for contactless, convenient shopping have driven adoption of AI diagnostics and virtual try-on tools that reduce buyer uncertainty. By analysing selfies, skin condition data and purchase history, AI platforms deliver personalised shade matches and product recommendations that lower returns and improve conversion rates. Moreover, these tools enable brands to replicate in-store discovery on mobile and web channels, supporting omnichannel strategies and measurable uplift in customer engagement and lifetime value.

Restraint:

Accuracy & Reliability Limitations

Despite strong demand, technical limits in imaging, dataset diversity, and algorithm training constrain diagnostic accuracy across skin tones and lighting conditions. Models often perform worse on under-represented skin types because training data and clinical image sets skew toward lighter tones, producing inconsistent recommendations and regulatory scrutiny. Additionally, variable selfie quality, device camera differences, and lack of standardisation in clinical labels make validation difficult. These reliability gaps slow enterprise procurement, necessitate rigorous clinical validation, and require ongoing investment in inclusive datasets and testing.

Opportunity:

Expansion into Men's Grooming & Wellness

Under-penetrated segments such as men's grooming, personal wellness, and preventative skincare present a significant growth runway for AI diagnostics. Brands can repurpose skin and hair analytics to offer targeted formulations, subscription regimens, and wellness coaching tailored to men's routines, while professional wellness channels can integrate diagnostics into teleconsultations. Furthermore, cross-selling diagnostic insights with nutraceuticals, supplements, and wellness devices create new ecosystem revenue streams.

Threat:

Consumer Skepticism & "Gimmick" Perception

Consumer trust is central and can be undermined when AI features are perceived as novelty or marketing gimmicks rather than useful diagnostics. Overpromised accuracy, opaque recommendation logic, or poor post-purchase outcomes generate negative reviews and reluctance to share personal data. Additionally, privacy concerns around biometric and skin-health data and unclear data handling practices amplify scepticism.

Covid-19 Impact:

The pandemic rapidly shifted consumer behaviour and retailer operations, accelerating adoption of virtual try-on, contactless discovery, and digital diagnostics as in-store sampling declined. Immediate effects included spikes in app engagement and rapid rollouts of AR/AI tools to maintain sales continuity, although uneven access and rushed deployments created mixed user experiences. Over the longer term, COVID-era shifts reinforced omnichannel strategies and sustained investment in digital tools that reduce reliance on physical testers while improving hygiene and convenience for consumers.

The software & platform segment is expected to be the largest during the forecast period

The software & platform segment is expected to account for the largest market share during the forecast period. Software suites consolidate diagnostic engines, product catalogs, and analytics dashboards that institutions and brands require for scale. Their advantages include centralized governance, compliance controls for health-adjacent data, and easier integration with CRM and e-commerce systems. Vendors offering end-to-end platforms often bundle professional services and data-labeling support, which reduces time-to-value for enterprise customers and encourages multi-year contracts. These commercial dynamics drive higher share capture for the software & platform category.

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

Over the forecast period, the machine learning & deep learning algorithms segment is predicted to witness the highest growth rate. Advances in convolutional neural networks, transformer architectures, and federated learning are improving the capability and portability of skin and makeup diagnostics. Algorithmic innovations enable finer feature extraction for pigmentation, texture, and lesion detection, reduce false positives, and support on-device inference for privacy. Additionally, growing investment in model explainability and bias mitigation boosts enterprise confidence. As research and compute costs fall, algorithmic improvements will be rapidly productised, driving the highest growth rates for this technical segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. North America combines mature e-commerce penetration, high consumer spending on beauty and wellness, and a dense concentration of both start-ups and established brands that rapidly adopt diagnostics and AR. Strong health-tech and data-privacy regulation, deep venture funding, and leading cloud infrastructure facilitate product development, validation studies, and commercial rollouts. Moreover, active retail channels and enterprise learning about AI use cases accelerate partnerships between beauty brands, retailers, and tech vendors, cementing North America's leading commercial position.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Asia Pacific's combination of large, digitally engaged populations, rapid smartphone adoption, and cultural enthusiasm for beauty innovation fuels faster uptake of AI diagnostics. Local startups deliver low-cost, mobile-first solutions and regionally localised datasets that overcome language and skin-tone barriers, while global vendors expand partnerships with legacy retailers and direct-to-consumer brands. Rising discretionary spend on personal care, strong influencer ecosystems, and supportive public-private digital initiatives further amplify adoption rates and market growth across the region.

Key players in the market

Some of the key players in AI-Powered Beauty Diagnostics Market include Perfect Corp., L'Oreal Group, Procter & Gamble Co., Revieve, Haut.AI, SkinVision, Skinive, Skin Analytics, HiMirror Inc., Johnson & Johnson, Curology, Atolla, Function of Beauty, Shiseido Company, Limited, Beiersdorf AG, and PulpoAR.

Key Developments:

In March 2025, Perfect Corp. a global leader in AI and AR powered beauty and fashion technology, is set to exhibit at Shoptalk 2025, unveiling its latest advancements in AI-powered personalization, real-time virtual try-on, and immersive shopping experiences. From March 24-27 at Mandalay Bay, Las Vegas, attendees will experience firsthand how Perfect Corp.'s advanced AI technologies are redefining digital shopping experiences across beauty, skincare, and fashion.

Components Covered:

  • Software & Platform
  • Services

Technologies Covered:

  • Computer Vision & Image Analytics
  • Natural Language Processing (NLP)
  • Machine Learning & Deep Learning Algorithms
  • Augmented Reality (AR) & Virtual Try-On

Applications Covered:

  • Skincare Analysis & Diagnostics
  • Hair Care & Scalp Analysis
  • Cosmetic Product Recommendation & Virtual Try-On
  • Dermatology & Clinical Applications

End Users Covered:

  • Individual Consumers (B2C)
  • Beauty & Cosmetic Companies (B2B)
  • Salons & Spas
  • Dermatology Clinics & MedSpas
  • Retailers & E-commerce Platforms

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 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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-Powered Beauty Diagnostics Market, By Component

  • 5.1 Introduction
  • 5.2 Software & Platform
    • 5.2.1 Cloud-Based
    • 5.2.2 On-Premise
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services

6 Global AI-Powered Beauty Diagnostics Market, By Technology

  • 6.1 Introduction
  • 6.2 Computer Vision & Image Analytics
  • 6.3 Natural Language Processing (NLP)
  • 6.4 Machine Learning & Deep Learning Algorithms
  • 6.5 Augmented Reality (AR) & Virtual Try-On

7 Global AI-Powered Beauty Diagnostics Market, By Application

  • 7.1 Introduction
  • 7.2 Skincare Analysis & Diagnostics
    • 7.2.1 Skin Type & Condition Assessment
    • 7.2.2 Acne & Blemish Detection
    • 7.2.3 Anti-Aging & Wrinkle Analysis
    • 7.2.4 Sun Damage & UV Spot Detection
  • 7.3 Hair Care & Scalp Analysis
  • 7.4 Cosmetic Product Recommendation & Virtual Try-On
  • 7.5 Dermatology & Clinical Applications

8 Global AI-Powered Beauty Diagnostics Market, By End User

  • 8.1 Introduction
  • 8.2 Individual Consumers (B2C)
  • 8.3 Beauty & Cosmetic Companies (B2B)
  • 8.4 Salons & Spas
  • 8.5 Dermatology Clinics & MedSpas
  • 8.6 Retailers & E-commerce Platforms

9 Global AI-Powered Beauty Diagnostics 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 Perfect Corp.
  • 11.2 L'Oreal Group
  • 11.3 Procter & Gamble Co.
  • 11.4 Revieve
  • 11.5 Haut.AI
  • 11.6 SkinVision
  • 11.7 Skinive
  • 11.8 Skin Analytics
  • 11.9 HiMirror Inc.
  • 11.10 Johnson & Johnson
  • 11.11 Curology
  • 11.12 Atolla
  • 11.13 Function of Beauty
  • 11.14 Shiseido Company, Limited
  • 11.15 Beiersdorf AG
  • 11.16 PulpoAR

List of Tables

  • Table 1 Global AI-Powered Beauty Diagnostics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Powered Beauty Diagnostics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI-Powered Beauty Diagnostics Market Outlook, By Software & Platform (2024-2032) ($MN)
  • Table 4 Global AI-Powered Beauty Diagnostics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 5 Global AI-Powered Beauty Diagnostics Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 6 Global AI-Powered Beauty Diagnostics Market Outlook, By Services (2024-2032) ($MN)
  • Table 7 Global AI-Powered Beauty Diagnostics Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 8 Global AI-Powered Beauty Diagnostics Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 9 Global AI-Powered Beauty Diagnostics Market Outlook, By Technology (2024-2032) ($MN)
  • Table 10 Global AI-Powered Beauty Diagnostics Market Outlook, By Computer Vision & Image Analytics (2024-2032) ($MN)
  • Table 11 Global AI-Powered Beauty Diagnostics Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 12 Global AI-Powered Beauty Diagnostics Market Outlook, By Machine Learning & Deep Learning Algorithms (2024-2032) ($MN)
  • Table 13 Global AI-Powered Beauty Diagnostics Market Outlook, By Augmented Reality (AR) & Virtual Try-On (2024-2032) ($MN)
  • Table 14 Global AI-Powered Beauty Diagnostics Market Outlook, By Application (2024-2032) ($MN)
  • Table 15 Global AI-Powered Beauty Diagnostics Market Outlook, By Skincare Analysis & Diagnostics (2024-2032) ($MN)
  • Table 16 Global AI-Powered Beauty Diagnostics Market Outlook, By Skin Type & Condition Assessment (2024-2032) ($MN)
  • Table 17 Global AI-Powered Beauty Diagnostics Market Outlook, By Acne & Blemish Detection (2024-2032) ($MN)
  • Table 18 Global AI-Powered Beauty Diagnostics Market Outlook, By Anti-Aging & Wrinkle Analysis (2024-2032) ($MN)
  • Table 19 Global AI-Powered Beauty Diagnostics Market Outlook, By Sun Damage & UV Spot Detection (2024-2032) ($MN)
  • Table 20 Global AI-Powered Beauty Diagnostics Market Outlook, By Hair Care & Scalp Analysis (2024-2032) ($MN)
  • Table 21 Global AI-Powered Beauty Diagnostics Market Outlook, By Cosmetic Product Recommendation & Virtual Try-On (2024-2032) ($MN)
  • Table 22 Global AI-Powered Beauty Diagnostics Market Outlook, By Dermatology & Clinical Applications (2024-2032) ($MN)
  • Table 23 Global AI-Powered Beauty Diagnostics Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global AI-Powered Beauty Diagnostics Market Outlook, By Individual Consumers (B2C) (2024-2032) ($MN)
  • Table 25 Global AI-Powered Beauty Diagnostics Market Outlook, By Beauty & Cosmetic Companies (B2B) (2024-2032) ($MN)
  • Table 26 Global AI-Powered Beauty Diagnostics Market Outlook, By Salons & Spas (2024-2032) ($MN)
  • Table 27 Global AI-Powered Beauty Diagnostics Market Outlook, By Dermatology Clinics & MedSpas (2024-2032) ($MN)
  • Table 28 Global AI-Powered Beauty Diagnostics Market Outlook, By Retailers & E-commerce Platforms (2024-2032) ($MN)

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