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市場調查報告書

商品編碼

1871854

全球人工智慧皮膚市場：未來預測（至2032年）－按產品、技術、應用、最終用戶和地區進行分析

AI Skin 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: 2025年11月01日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球 AI 皮膚市場價值將達到 21.2 億美元，到 2032 年將達到 69.5 億美元，在預測期內的複合年成長率為 18.5%。

AI皮膚是指運用人工智慧技術分析、監測和改善皮膚健康和外觀。它融合了機器學習演算法、電腦視覺和深度神經網路，透過影像和感測器數據評估痤瘡、皺紋、色素沉著和水分等皮膚狀況。 AI皮膚系統能夠提供個人化的護膚建議，預測潛在問題，並追蹤治療進展。 AI皮膚廣泛應用於皮膚科、化妝品和美容科技領域，能夠提供數據驅動的護膚解決方案，提高診斷準確率，並為用戶提供即時洞察，從而實現有效的皮膚管理和預防保健。

護膚和美容行業對個人化的需求日益成長

使用者需要根據膚質、生活方式和環境因素量身定做專屬的護膚方案、產品推薦和肌膚狀況追蹤。該平台運用臉部映射、電腦視覺和機器學習技術來分析肌膚紋理、膚色和發炎情況。與行動應用、AR智慧鏡和遠端皮膚科諮詢的整合，提升了平台的易用性和用戶參與度。健康消費者、皮膚科診所和化妝品品牌對數據驅動的個人化護膚方案的需求日益成長。這些趨勢正在推動人工智慧驅動的皮膚分析生態系統中該平台的普及應用。

資料隱私、安全和監管問題

臉部影像、生物識別資料和健康相關資訊需要強大的加密技術、完善的授權管理以及對當地法律法規的遵守。企業在滿足 HIPAA、GDPR 和化妝品標籤標準的同時，還要兼顧性能和個人化，這無疑是一項挑戰。缺乏統一的框架或第三方檢驗進一步加劇了實施和跨境擴張的複雜性。供應商必須投資隱私儀表板、符合倫理的人工智慧和透明的資料管治，才能建立信任。這些限制因素持續阻礙以合規為導向的消費者護膚市場平台的成熟度。

皮膚相關疾病增加和消費者意識提高

生活方式壓力和環境因素導致痤瘡、濕疹、酒糟和色素沉著等皮膚問題日益增加。該平台利用影像分析和預測建模技術，提供即時追蹤、嚴重程度評分和治療最佳化方案。與皮膚科診療流程、健康應用程式和產品生態系統的整合，可提高治療效果和依從性。年輕肌膚、老齡化和敏感肌膚族群對便利、精準且針對特定症狀的工具的需求日益成長。這些趨勢正在推動以健康為導向、人工智慧驅動的護膚平台整體發展。

標準化、認證和監管方面缺乏明確性。

診斷輔助、美容增強和醫療級分析的定義因司法管轄區而異，這使得定位和合規變得複雜。企業在滿足皮膚病學標準、化妝品法規和人工智慧倫理框架方面面臨許多挑戰。缺乏認證機構和性能基準進一步削弱了信任和互通性。供應商必須透過與監管機構溝通、投資臨床試驗以及遵守新興的人工智慧健康標準來降低風險。這些限制持續限制跨司法管轄區、監管敏感的護膚系統中的平台性能。

新冠疫情的感染疾病：

疫情加速了全球市場對數位化皮膚科、遠距離診斷和皮膚健康意識的接受度。封鎖措施中斷了線下就診，導致人們對虛擬諮詢、人工智慧分析和居家護膚指導的需求激增。各大平台迅速擴展，透過行動和網路管道提供痤瘡監測、皮膚老化追蹤和個人化護膚方案。Start-Ups、診所和化妝品品牌紛紛增加對遠距皮膚科諮詢、雲端基礎設施和消費者人工智慧的投資。媒體和消費者群體對皮膚健康、壓力影響和數位健康的關注度也日益提高。這些變化正在推動對人工智慧賦能的混合型護膚基礎設施的長期投資。

預計在預測期內，痤瘡檢測和監測領域將佔據最大的市場佔有率。

由於痤瘡檢測和監測的廣泛應用、消費者需求以及與人工智慧分析的兼容性，預計在預測期內，該領域將佔據最大的市場佔有率。相關平台利用影像識別、嚴重程度評分和進度追蹤來指南治療方法和產品選擇。與行動應用程式、遠端皮膚科諮詢和日常護膚流程的整合，提高了用戶參與度和留存率。青少年、成年人和注重健康的消費者群體對精準、非侵入性且個人化的痤瘡管理工具的需求日益成長。供應商提供經皮膚科醫生認可的演算法、日常工作流程整合以及進度儀表板，以方便使用者實施。這些功能進一步鞏固了痤瘡專用人工智慧皮膚平台在該領域的領先地位。

預計深度學習在預測期內將以最高的複合年成長率成長。

預計在預測期內，深度學習領域將實現最高成長率，這主要得益於用於皮膚分析的影像分類、模式識別和預測建模平台的擴展。這些模型利用大量數據和神經網路，支援多症狀檢測、即時回饋和自適應個人化。與雲端基礎設施、行動應用和擴增實境（AR）介面的整合，增強了擴充性和用戶體驗。皮膚科診所、化妝品品牌和健康平台對高精度、可解釋性和多功能人工智慧的需求日益成長。供應商提供模組化引擎、API介面和臨床檢驗，以促進部署。這些趨勢正在推動基於深度學習的AI皮膚平台和服務的發展。

佔比最大的地區：

由於皮膚病醫療基礎設施的進步、人工智慧投資以及皮膚分析平台監管準備的完善，預計北美將在預測期內佔據最大的市場佔有率。各公司正在診所、藥房和化妝品品牌部署相關工具，以輔助個人化診斷和產品匹配。對雲端遷移、符合倫理規範的人工智慧以及消費者教育的投資，有助於提升系統的擴充性和可靠性。主要供應商、研究機構和政策框架的存在，正在推動生態系統的深化和普及。各公司正在調整其人工智慧皮膚策略，使其與美國食品藥物管理局 (FDA) 的指導方針、健康趨勢和數位健康目標保持一致。這些因素共同推動了北美在人工智慧皮膚技術商業化和平台應用方面的主導地位。

年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於美容創新、移動普及率的提高以及皮膚敏感度的增加在該地區經濟中的融合。韓國、日本、中國和印度等國家正在拓展其在痤瘡、老化和色素沉著領域的平台。政府支持計畫正在扶持生物技術孵化、化妝品出口以及護膚Start-Ups的數位健康發展。本地供應商正在提供符合當地文化、以行動優先且以健康為導向的解決方案，以滿足不同膚質和習慣的需求。在都市區，年輕消費者、老年人以及追求純淨美容的消費者對溫和、全面且由人工智慧驅動的護膚的需求日益成長。這些趨勢正在加速亞太地區人工智慧皮膚技術創新和基礎設施建設的發展。

免費客製化服務

訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

公司簡介
- 對最多三家其他公司進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域分類
- 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
競爭基準化分析
- 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

介紹
北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 亞太其他地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第10章：主要趨勢

合約、商業夥伴關係和合資企業
企業合併（M&A）
新產品發布
業務拓展
其他關鍵策略

第11章公司簡介

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.

簡介目錄圖表

Product Code: SMRC32224

According to Stratistics MRC, the Global AI Skin 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 Skin refers to the application of artificial intelligence technologies in analyzing, monitoring, and enhancing skin health and appearance. It integrates machine learning algorithms, computer vision, and deep neural networks to assess skin conditions such as acne, wrinkles, pigmentation, and hydration levels through images or sensor data. AI Skin systems can personalize skincare recommendations, predict potential issues, and track treatment progress over time. Widely used in dermatology, cosmetics, and beauty tech, AI Skin enables data-driven skincare solutions, improves diagnostic accuracy, and empowers users with real-time insights for effective skin management and preventive care.

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 skin 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 skin 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 skin strategies with FDA guidance wellness trends and digital health goals. These factors are propelling North America's leadership in AI skin 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 skin innovation and infrastructure.

Key players in the market

Some of the key players in AI Skin 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

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 Skin 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 Skin 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 Skin 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 Skin 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 Skin 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.

簡介目錄圖表

List of Tables

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