查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1880452

人工智慧驱动的护髮解决方案市场预测至2032年：按产品、分销管道、应用、最终用户和地区分類的全球分析

AI-Powered Haircare Solutions Market Forecasts to 2032 - Global Analysis By Product, Distribution Channel, 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 的一项研究，全球人工智慧护髮解决方案市场预计到 2025 年将达到 75 亿美元，到 2032 年将达到 154 亿美元，在预测期内的复合年增长率为 10.8%。

人工智慧驱动的护髮解决方案利用数据驱动演算法评估个人的髮质、头皮状况、生活方式和环境因素，从而提供高度个人化的建议。这些系统运用影像分析、智慧诊断工具和机器学习模型，精准辨识干燥、断裂、头皮屑和稀疏等问题。基于评估结果，人工智慧平台会产生个人化优化的产品提案、客製化护理方案和日常护理计划。许多解决方案还整合了行动应用程式、智慧型装置和持续回馈机制，以不断改进提案。总而言之，与传统的「一刀切」式方法相比，人工智慧驱动的护髮解决方案能够实现更精准、便利、高效的头髮和头皮管理。

对个人化护髮方案的需求日益增长

消费者越来越需要根据自身髮质、生活方式和环境条件量身定制的产品和服务。人工智慧平台透过分析头皮状况、髮质和气候等因素，提案个人化的照护方案。这种个人化服务提升了消费者的满意度和忠诚度，因为用户认为它比通用产品更有效。这一趋势在重视个性和主导体验的年轻一代中尤其明显。因此，个人化护理方案正成为推动市场成长的关键因素。

人工智慧美髮解决方案高成本

智慧型设备、诊断工具和人工智慧平台通常需要大量投资，这使得价格敏感型消费者难以负担。高昂的价格限制了新兴市场低收入者的接受度。此外，持续的维护和软体更新也会推高总体拥有成本 (TCO)。这种经济障碍减缓了非富裕消费族群对这些产品的接受度。因此，高成本仍然是人工智慧护髮解决方案广泛应用的主要阻碍因素。

消费者对头皮健康的兴趣日益浓厚

越来越多的消费者意识到，头皮状况直接影响头髮的生长、强度和整体外观。人工智慧诊断技术可以评估头皮水分、皮脂分泌水平和毛囊健康状况，从而实现精准治疗。这项技术契合了消费者日益关注的整体照护和预防性解决方案的健康趋势。利用人工智慧技术提供针对头皮护理产品的品牌正在获得竞争优势。因此，人们对头皮健康的日益关注预计将为市场带来巨大的成长机会。

新兴消费市场认知度低

许多消费者仍然缺乏对人工智慧驱动的个人化服务益处的了解，这限制了其普及。对传统治疗方法的文化偏好以及对先进技术的接触不足进一步阻碍了市场渗透。在数位素养较低的地区，消费者可能对基于人工智慧的推荐持怀疑态度。这种认知不足降低了市场需求，并阻碍了全球品牌进入新市场。除非透过教育和行销加以改善，否则认知不足将继续阻碍这些地区的成长。

新冠疫情的影响：

新冠疫情对人工智慧护髮解决方案市场产生了复杂的影响。供应链中断影响了智慧型设备和诊断工具的供应，导致部分地区的普及速度放缓。经济的不确定性也降低了消费者在高端护髮产品上的支出。然而，疫情也加速了数位化进程，消费者纷纷转向线上平台寻求个人化咨询和产品推荐。随着实体店客流量的减少，远距离诊断和人工智慧应用程式获得了广泛应用。

预计在预测期内，脱髮和头髮稀疏领域将占据最大的市场份额。

由于各年龄层对头髮问题的日益关注，预计在预测期内，脱髮和头髮稀疏领域将占据最大的市场份额。消费者越来越倾向于寻求能够解决遗传因素、压力相关性脱髮和生活方式因素等问题的先进解决方案。基于人工智慧的诊断技术在该领域非常有效，因为它们能够精准分析毛囊健康状况并提案针对性治疗方法。男性和女性的强劲需求正在巩固该领域的领先地位。人们对早期疗育重要性的认识不断提高，正在加速人工智慧驱动的脱髮和头髮稀疏解决方案的应用。因此，预计该领域将继续成为市场最大的贡献者。

预计千禧世代和Z世代群体在预测期内将呈现最高的复合年增长率。

预计在预测期内，千禧世代和Z世代将实现最高的成长率，这反映出他们对技术赋能的个人化服务的强烈偏好。年轻消费者高度依赖数位平台，并重视美容和健康领域的个人化体验。人工智慧驱动的应用程式和设备透过提供便利性和个人化提案，满足了这群人的需求。社群媒体上的意见领袖广泛共用和推荐个人化护髮方案，进一步推动了这项需求。年轻一代可支配收入的成长也将促进高端人工智慧解决方案的普及。预计在预测期内，千禧世代和Z世代将实现最高的成长率，并成为成长最快的消费群体。

占比最大的地区：

由于北美拥有先进的美容技术基础设施，并率先采用个人化解决方案，预计北美将在预测期内占据最大的市场份额。美国和加拿大消费者对人工智慧驱动的诊断和智慧型装置的高度接受度巩固了该地区的主导地位。领先的美容技术公司强大的市场影响力和持续创新进一步强化了其市场主导地位。消费者对头皮健康的日益重视以及对高级产品的投资意愿也促进了市场成长。北美零售商和电商平台正越来越多地采用人工智慧建议引擎，加速了其普及。因此，预计北美将继续成为全球人工智慧护髮解决方案市场的最大贡献者。

预计年复合成长率最高的地区：

亚太地区预计将在预测期内实现最高的复合年增长率，这主要得益于消费者对健康日益增长的兴趣。中国、印度和日本等国家对个人化护髮解决方案的需求不断增长。可支配收入的增加和数位普及率的提高正在加速人工智慧平台的普及。该地区的年轻族群尤其青睐科技赋能的美容解决方案，进一步增强了市场成长动能。政府鼓励消费科技创新的措施也为市场扩张提供了支持。

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
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户要求，对主要国家的市场规模和复合年增长率进行估算和预测（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要企业的产品系列、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

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 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 全球人工智慧护髮解决方案市场（按产品划分）

  • 介绍
  • 行动应用与软体平台
  • 订阅诊断试剂盒
  • 综合远距皮肤科服务
  • 人工智慧影像分析工具
  • 家用检测套组和采样试剂盒
  • 其他产品

6. 全球人工智慧护髮解决方案市场（按分销管道划分）

  • 介绍
  • 专业美容零售商
  • 网路市集
  • 药房和药品商店
  • 健康与美容中心
  • 其他分销管道

第七章 全球人工智慧护髮解决方案市场（按应用领域划分）

  • 介绍
  • 掉髮和头髮稀疏
  • 头皮健康
  • 预防性和生活方式相关的诊断
  • 治疗后监测和进展跟踪
  • 皮肤科级别的毛髮和头皮图谱绘製
  • 其他用途

第八章 全球人工智慧护髮解决方案市场（按最终用户划分）

  • 介绍
  • 千禧世代与Z世代
  • X世代
  • 婴儿潮世代
  • 女士
  • 其他最终用户

9. 全球人工智慧赋能护髮解决方案市场（按地区划分）

  • 介绍
  • 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
    • 南美洲其他地区
  • 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
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • L'Oreal
  • Procter & Gamble
  • Unilever
  • Henkel
  • Shiseido
  • Kao Corporation
  • Johnson & Johnson
  • Estee Lauder Companies
  • Coty
  • Wella Company
  • Schwarzkopf Professional
  • Revieve
  • Perfect Corp
  • BeautyTech Labs
  • HairTech Innovations
Product Code: SMRC32510

According to Stratistics MRC, the Global AI-Powered Haircare Solutions Market is accounted for $7.5 billion in 2025 and is expected to reach $15.4 billion by 2032 growing at a CAGR of 10.8% during the forecast period. AI-powered haircare solutions use data-driven algorithms to assess an individual's hair type, scalp condition, lifestyle, and environmental factors to deliver hyper-personalized recommendations. These systems rely on image analysis, smart diagnostic tools, and machine-learning models to identify issues such as dryness, breakage, dandruff, or thinning with high accuracy. Based on the assessment, AI platforms generate tailored product suggestions, customized formulations, and routine plans. Many solutions integrate mobile apps, smart devices, and continuous feedback loops to refine recommendations over time. Overall, AI-powered haircare solutions enable more precise, convenient, and effective hair and scalp management compared to traditional one-size-fits-all approaches.

Market Dynamics:

Driver:

Rising demand for personalized haircare routines

Consumers are increasingly seeking products and services tailored to their unique hair types, lifestyles, and environmental conditions. AI-enabled platforms analyze factors such as scalp condition, hair texture, and climate to recommend customized regimens. This personalization enhances consumer satisfaction and loyalty, as users perceive greater effectiveness compared to generic products. The trend is particularly strong among younger demographics who value individuality and technology-driven experiences. As a result, personalized routines are emerging as a primary driver of growth in the market.

Restraint:

High cost of AI-enabled hair solutions

Smart devices, diagnostic tools, and AI-driven platforms often require significant investment, making them less accessible to price-sensitive consumers. Premium pricing limits adoption in emerging markets where disposable incomes are lower. Additionally, ongoing maintenance and software updates add to the total cost of ownership. This financial barrier slows penetration beyond affluent consumer segments. Consequently, high costs remain a key restraint to widespread adoption of AI-powered haircare solutions.

Opportunity:

Increased consumer focus on scalp health

Awareness is growing that scalp condition directly impacts hair growth, strength, and overall appearance. AI-powered diagnostics can assess scalp hydration, oil levels, and follicle health, enabling targeted treatments. This capability aligns with the wellness trend, where consumers prioritize holistic care and preventative solutions. Brands leveraging AI to deliver scalp-focused products are gaining competitive advantage. As a result, rising attention to scalp health is expected to unlock significant growth opportunities in the market.

Threat:

Low awareness in emerging consumer markets

Many consumers remain unfamiliar with the benefits of AI-driven personalization, limiting adoption. Cultural preferences for traditional remedies and limited exposure to advanced technologies further slow market penetration. In regions with lower digital literacy, consumers may be hesitant to trust AI-based recommendations. This lack of awareness reduces demand and creates barriers for global brands entering new markets. Unless addressed through education and marketing, low awareness will continue to hinder growth in these regions.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the AI-powered haircare solutions market. Supply chain disruptions affected the availability of smart devices and diagnostic tools, slowing adoption in several regions. Economic uncertainty also reduced consumer spending on premium haircare products. However, the pandemic accelerated digital engagement, with consumers turning to online platforms for personalized consultations and product recommendations. Remote diagnostics and AI-driven apps gained traction as physical salon visits declined.

The hair loss & thinning segment is expected to be the largest during the forecast period

The hair loss & thinning segment is expected to account for the largest market share during the forecast period by rising prevalence of hair-related concerns across age groups. Consumers are increasingly seeking advanced solutions to address genetic predispositions, stress-related hair loss, and lifestyle factors. AI-powered diagnostics provide precise insights into follicle health and recommend targeted treatments, making them highly effective in this category. The segment benefits from strong demand among both men and women, reinforcing its dominance. As awareness of early intervention grows, adoption of AI-driven solutions for hair loss and thinning is accelerating. Consequently, this segment will remain the largest contributor to the market.

The millennials & gen Z segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the millennials & gen Z segment is predicted to witness the highest growth rate by reflecting their strong preference for technology-driven personalization. Younger consumers are highly engaged with digital platforms and value individualized experiences in beauty and wellness. AI-powered apps and devices resonate with this demographic, offering convenience and tailored recommendations. Social media influence further amplifies demand, as personalized haircare routines are widely shared and promoted. Rising disposable incomes among younger consumers also support adoption of premium AI-enabled solutions. Over the forecast period, the millennials and Gen Z segment is predicted to witness the highest growth rate, making it the fastest-expanding consumer group.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share by advanced beauty-tech infrastructure and early adoption of personalized solutions. Consumers in the United States and Canada are highly receptive to AI-driven diagnostics and smart devices, reinforcing regional leadership. Strong presence of leading beauty-tech companies and continuous innovation further support market dominance. High awareness of scalp health and willingness to invest in premium products also contribute to growth. Retail and e-commerce platforms in North America are increasingly integrating AI-powered recommendation engines, strengthening adoption. As a result, North America will remain the largest contributor to the global AI-powered haircare solutions market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rising consumer focus on wellness. Countries such as China, India, and Japan are witnessing growing demand for personalized haircare solutions. Increasing disposable incomes and expanding digital penetration are accelerating adoption of AI-powered platforms. Younger demographics in the region are particularly drawn to technology-enabled beauty solutions, reinforcing growth momentum. Government initiatives promoting innovation in consumer technology also support market expansion.

Key players in the market

Some of the key players in AI-Powered Haircare Solutions Market include L'Oreal, Procter & Gamble, Unilever, Henkel, Shiseido, Kao Corporation, Johnson & Johnson, Estee Lauder Companies, Coty, Wella Company, Schwarzkopf Professional, Revieve, Perfect Corp, BeautyTech Labs and HairTech Innovations.

Key Developments:

In June 2024, Unilever announced a strategic partnership with Kao Corporation, a leading Japanese personal care company. This collaboration focuses on co-developing a new, AI-powered scalp testing system designed to analyze scalp conditions and provide personalized product recommendations.

In March 2024, L'Oreal announced a strategic partnership with Verily, Alphabet's health-tech subsidiary, to form a new Precision Beauty platform. This multi-year collaboration is focused on leveraging AI and biological data to decode the mechanisms of hair aging and scalp health.

Products Covered:

  • Mobile Apps & Software Platforms
  • Subscription-Based Diagnostic Kits
  • Integrated Tele-Dermatology Services
  • AI-Enabled Image Analysis Tools
  • Home Testing & Sampling Kits
  • Other Products

Distribution Channels Covered:

  • Specialty Beauty Retailers
  • Online Marketplaces
  • Pharmacies & Drugstores
  • Wellness & Aesthetic Centers
  • Other Distribution Channels

Applications Covered:

  • Hair Loss & Thinning
  • Scalp Health
  • Preventive & Lifestyle-Linked Diagnostics
  • Post-Treatment Monitoring & Progress Tracking
  • Dermatology-Grade Hair & Scalp Mapping
  • Other Applications

End Users Covered:

  • Millennials & Gen Z
  • Gen X
  • Baby Boomers
  • Women
  • 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 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 Haircare Solutions Market, By Product

  • 5.1 Introduction
  • 5.2 Mobile Apps & Software Platforms
  • 5.3 Subscription-Based Diagnostic Kits
  • 5.4 Integrated Tele-Dermatology Services
  • 5.5 AI-Enabled Image Analysis Tools
  • 5.6 Home Testing & Sampling Kits
  • 5.7 Other Products

6 Global AI-Powered Haircare Solutions Market, By Distribution Channel

  • 6.1 Introduction
  • 6.2 Specialty Beauty Retailers
  • 6.3 Online Marketplaces
  • 6.4 Pharmacies & Drugstores
  • 6.5 Wellness & Aesthetic Centers
  • 6.6 Other Distribution Channels

7 Global AI-Powered Haircare Solutions Market, By Application

  • 7.1 Introduction
  • 7.2 Hair Loss & Thinning
  • 7.3 Scalp Health
  • 7.4 Preventive & Lifestyle-Linked Diagnostics
  • 7.5 Post-Treatment Monitoring & Progress Tracking
  • 7.6 Dermatology-Grade Hair & Scalp Mapping
  • 7.7 Other Applications

8 Global AI-Powered Haircare Solutions Market, By End User

  • 8.1 Introduction
  • 8.2 Millennials & Gen Z
  • 8.3 Gen X
  • 8.4 Baby Boomers
  • 8.5 Women
  • 8.6 Other End Users

9 Global AI-Powered Haircare Solutions 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
  • 11.2 Procter & Gamble
  • 11.3 Unilever
  • 11.4 Henkel
  • 11.5 Shiseido
  • 11.6 Kao Corporation
  • 11.7 Johnson & Johnson
  • 11.8 Estee Lauder Companies
  • 11.9 Coty
  • 11.10 Wella Company
  • 11.11 Schwarzkopf Professional
  • 11.12 Revieve
  • 11.13 Perfect Corp
  • 11.14 BeautyTech Labs
  • 11.15 HairTech Innovations

List of Tables

  • Table 1 Global AI-Powered Haircare Solutions Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Powered Haircare Solutions Market Outlook, By Product (2024-2032) ($MN)
  • Table 3 Global AI-Powered Haircare Solutions Market Outlook, By Mobile Apps & Software Platforms (2024-2032) ($MN)
  • Table 4 Global AI-Powered Haircare Solutions Market Outlook, By Subscription-Based Diagnostic Kits (2024-2032) ($MN)
  • Table 5 Global AI-Powered Haircare Solutions Market Outlook, By Integrated Tele-Dermatology Services (2024-2032) ($MN)
  • Table 6 Global AI-Powered Haircare Solutions Market Outlook, By AI-Enabled Image Analysis Tools (2024-2032) ($MN)
  • Table 7 Global AI-Powered Haircare Solutions Market Outlook, By Home Testing & Sampling Kits (2024-2032) ($MN)
  • Table 8 Global AI-Powered Haircare Solutions Market Outlook, By Other Products (2024-2032) ($MN)
  • Table 9 Global AI-Powered Haircare Solutions Market Outlook, By Distribution Channel (2024-2032) ($MN)
  • Table 10 Global AI-Powered Haircare Solutions Market Outlook, By Specialty Beauty Retailers (2024-2032) ($MN)
  • Table 11 Global AI-Powered Haircare Solutions Market Outlook, By Online Marketplaces (2024-2032) ($MN)
  • Table 12 Global AI-Powered Haircare Solutions Market Outlook, By Pharmacies & Drugstores (2024-2032) ($MN)
  • Table 13 Global AI-Powered Haircare Solutions Market Outlook, By Wellness & Aesthetic Centers (2024-2032) ($MN)
  • Table 14 Global AI-Powered Haircare Solutions Market Outlook, By Other Distribution Channels (2024-2032) ($MN)
  • Table 15 Global AI-Powered Haircare Solutions Market Outlook, By Application (2024-2032) ($MN)
  • Table 16 Global AI-Powered Haircare Solutions Market Outlook, By Hair Loss & Thinning (2024-2032) ($MN)
  • Table 17 Global AI-Powered Haircare Solutions Market Outlook, By Scalp Health (2024-2032) ($MN)
  • Table 18 Global AI-Powered Haircare Solutions Market Outlook, By Preventive & Lifestyle-Linked Diagnostics (2024-2032) ($MN)
  • Table 19 Global AI-Powered Haircare Solutions Market Outlook, By Post-Treatment Monitoring & Progress Tracking (2024-2032) ($MN)
  • Table 20 Global AI-Powered Haircare Solutions Market Outlook, By Dermatology-Grade Hair & Scalp Mapping (2024-2032) ($MN)
  • Table 21 Global AI-Powered Haircare Solutions Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 22 Global AI-Powered Haircare Solutions Market Outlook, By End User (2024-2032) ($MN)
  • Table 23 Global AI-Powered Haircare Solutions Market Outlook, By Millennials & Gen Z (2024-2032) ($MN)
  • Table 24 Global AI-Powered Haircare Solutions Market Outlook, By Gen X (2024-2032) ($MN)
  • Table 25 Global AI-Powered Haircare Solutions Market Outlook, By Baby Boomers (2024-2032) ($MN)
  • Table 26 Global AI-Powered Haircare Solutions Market Outlook, By Women (2024-2032) ($MN)
  • Table 27 Global AI-Powered Haircare Solutions 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.