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市场调查报告书

商品编码

1698237

情感人工智慧市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测

Emotion AI Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: 2025年02月14日 | 出版商:

Global Market Insights Inc. | 英文 190 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2024 年全球情感人工智慧市场规模估计达到 29 亿美元，预计 2025 年至 2034 年的复合年增长率将达到 21.7%。随着焦虑、忧郁和压力障碍等心理健康问题持续增加，对包括情绪人工智慧在内的先进诊断和治疗技术的需求正在加速成长。情绪人工智慧系统利用多种生物讯号、脸部表情和语音语调来识别和解决情绪障碍，使其成为心理健康专业人士的宝贵工具。数百万成年人的精神健康状况日益恶化，这推动了情感人工智慧在医疗保健和治疗干预中的作用的扩大。

在医疗保健领域，情绪人工智慧在加强心理健康评估和治疗策略方面发挥关键作用。配备情绪分析功能的人工智慧系统可以透过分析咨询期间的语音模式、词彙选择和脸部表情来检测心理健康问题的早期迹象。这项技术使心理健康专业人员能够远端监控患者，从而更容易即时调整治疗方案，特别是在心理健康服务提供者短缺的地区。云端部署模型特别有效，因为它可以实现情感人工智慧的无缝集成，而无需大量的基础设施，从而具有成本效益和可扩展性。

市场范围
起始年份	2024
预测年份	2025-2034
起始值	29亿美元
预测值	194亿美元
复合年增长率	21.7％

市场在软体领域也呈现成长态势，其中人工智慧分析被整合到摄影机和麦克风等现有系统中，增强了它们透过语音、文字和脸部线索检测情绪的能力。这种基于软体的方法比硬体解决方案更受欢迎，因为它可以更快地部署并且更容易与当前技术整合。此外，随着情感人工智慧在医疗保健、客户服务和娱乐等各个行业的兴起，企业越来越多地采用这些系统来提高参与度、增强客户服务并简化营运。

在北美，美国在情感人工智慧市场占据主导地位，得益于其强大的基础设施和主要科技公司的大量投资。该地区继续推动人工智慧情绪分析的进步，人工智慧情绪分析正在成为客户服务、心理健康支援和安全应用不可或缺的一部分。儘管该技术发展迅速，但其伦理和社会影响正受到严格审查，专家对其潜在风险和对隐私的影响表示担忧。然而，情感人工智慧在各个领域的持续整合表明，其作用在未来几年只会扩大。

产业生态系统分析
- 供应商格局
  - 云端和资料分析提供商
  - 语音和言语情绪分析提供商
  - 专业情感AI公司
  - 人类洞察与行为人工智慧公司
  - 安全和监控人工智慧公司
- 利润率分析
技术与创新格局
专利分析
监管格局
用例
衝击力
- 成长动力
  - 人工智慧在人机互动中的扩展
  - 在安全和监控领域的应用日益广泛
  - 提高对心理健康和幸福的认识
  - 个人化客户体验需求不断成长
- 产业陷阱与挑战
  - 偏差和准确性问题
  - 道德和隐私问题
成长潜力分析
波特的分析
PESTEL 分析

第四章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第五章：市场估计与预测：依部署模型，2021 - 2034 年

主要趋势
云
本地
杂交种

第六章：市场估计与预测：依技术分类，2021 - 2034 年

主要趋势
机器学习
自然语言处理
生理讯号处理
物联网和边缘运算
电脑视觉

第七章：市场估计与预测：按应用，2021 - 2034 年

主要趋势
心理健康与幸福
汽车驾驶监控
行销与销售
电子学习
游戏和娱乐
安防与监控
客户服务
其他的

第八章：市场估计与预测：按组件，2021 - 2034 年

主要趋势
硬体
- 穿戴式装置
  - 智慧手錶
  - 健身带
  - 脑电图耳机
  - 心电图
  - 格陵兰岛
- 网路摄影机和感测器
- 边缘运算设备
软体解决方案
- 脸部情绪辨识
- 语音情绪识别
- 文本情绪分析
- 生理和生物特征情绪分析
服务
- 咨询
- 培训与整合
- 维护与支援

第九章：市场估计与预测：依数据，2021 - 2034 年

主要趋势
基于语音
基于文字
基于视频
生理和生物识别

第 10 章：市场估计与预测：按最终用途产业，2021 年至 2034 年

主要趋势
零售与电子商务
金融服务业
IT与电信
卫生保健
教育
汽车
媒体和娱乐
其他的

第 11 章：市场估计与预测：按地区，2021 年至 2034 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
中东及非洲
- 阿联酋
- 南非
- 沙乌地阿拉伯

第十二章：公司简介

Amazon
Audeering
Behavioral Signals
Cipia
Cogito
Entropik Tech
Google
IBM
Microsoft
Morphcast
Noldus Information Technology
Opsis
Realeyes
Siena
Smart Eye
Superceed
Symanto
Uniphore
VIER
Voicesense

简介目录

Product Code: 13183

The Global Emotion AI Market reached an estimated value of USD 2.9 billion in 2024 and is poised to register a CAGR of 21.7% from 2025 to 2034. As mental health concerns such as anxiety, depression, and stress disorders continue to rise, the demand for advanced diagnostic and treatment technologies, including emotion AI, is accelerating. Emotion AI systems leverage multiple bio-signals, facial expressions, and voice tones to identify and address emotional disturbances, making them invaluable tools for mental health professionals. The increased prevalence of mental health conditions, highlighted by millions of affected adults, is driving the expansion of emotion AI's role in healthcare and therapeutic interventions.

In healthcare, emotion AI plays a pivotal role in enhancing mental health assessments and treatment strategies. AI systems equipped with sentiment analysis capabilities can detect early signs of mental health issues by analyzing voice patterns, word choice, and facial expressions during consultations. This technology allows mental health professionals to monitor patients remotely, making it easier to adjust treatments in real time, especially in areas with a shortage of mental health providers. The cloud deployment model is particularly effective, as it enables seamless integration of emotion AI without requiring extensive infrastructure, making it cost-effective and scalable.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$2.9 billion
Forecast Value	$19.4 billion
CAGR	21.7%

The market is also seeing growth in the software segment, where AI-powered analytics are integrated into existing systems such as cameras and microphones, enhancing their ability to detect emotions through voice, text, and facial cues. This software-based approach is preferred over hardware solutions, as it offers faster deployment and easier integration with current technologies. Additionally, with the rise of emotion AI in various industries such as healthcare, customer service, and entertainment, businesses are increasingly adopting these systems to improve engagement, enhance customer service, and streamline operations.

In North America, the United States is a dominant player in the emotion AI market, benefiting from its robust infrastructure and heavy investments from major tech companies. This region continues to drive advancements in AI sentiment analysis, which is becoming an integral part of customer service, mental health support, and security applications. Despite its rapid growth, the technology's ethical and social implications are being closely scrutinized, with experts raising concerns about its potential risks and impacts on privacy. However, the continued integration of emotion AI across sectors suggests that its role will only expand in the coming years.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates & calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope & definition

Chapter 2 Executive Summary

2.1 Industry 360⁰ synopsis, 2021 - 2034

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
- 3.1.1 Supplier landscape
  - 3.1.1.1 Cloud & data analytics providers
  - 3.1.1.2 Voice & speech emotion analysis providers
  - 3.1.1.3 Specialized emotion AI companies
  - 3.1.1.4 Human insight & behavioral AI companies
  - 3.1.1.5 Security & surveillance AI firms
- 3.1.2 Profit margin analysis
3.2 Technology & innovation landscape
3.3 Patent analysis
3.4 Regulatory landscape
3.5 Use cases
3.6 Impact forces
- 3.6.1 Growth drivers
  - 3.6.1.1 Expansion of AI in human-computer interaction
  - 3.6.1.2 Growing adoption in security & surveillance
  - 3.6.1.3 Increasing awareness about mental health & well-being
  - 3.6.1.4 Rising demand for personalized customer experience
- 3.6.2 Industry pitfalls & challenges
  - 3.6.2.1 Bias & accuracy issues
  - 3.6.2.2 Ethical & privacy concerns
3.7 Growth potential analysis
3.8 Porter’s analysis
3.9 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($Bn)

5.1 Key trends
5.2 Cloud
5.3 On-premises
5.4 Hybrid

Chapter 6 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Bn)

6.1 Key trends
6.2 Machine learning
6.3 Natural language processing
6.4 Physiological signal processing
6.5 IoT & edge computing
6.6 Computer vision

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn)

7.1 Key trends
7.2 Mental health & well-being
7.3 Automotive driver monitoring
7.4 Marketing & sales
7.5 E-learning
7.6 Gaming & entertainment
7.7 Security & surveillance
7.8 Customer service
7.9 Others

Chapter 8 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

8.1 Key trends
8.2 Hardware
- 8.2.1 Wearable devices
  - 8.2.1.1 Smart watches
  - 8.2.1.2 Fitness bands
  - 8.2.1.3 EEG headsets
  - 8.2.1.4 ECG
  - 8.2.1.5 GSR
- 8.2.2 Cameras & sensors
- 8.2.3 Edge computing devices
8.3 Software solutions
- 8.3.1 Facial emotion recognition
- 8.3.2 Speech emotion recognition
- 8.3.3 Text sentiment analysis
- 8.3.4 Physiological & biometric emotion analysis
8.4 Services
- 8.4.1 Consulting
- 8.4.2 Training & integration
- 8.4.3 Maintenance & support

Chapter 9 Market Estimates & Forecast, By Data, 2021 - 2034 ($Bn)

9.1 Key trends
9.2 Voice-based
9.3 Text-based
9.4 Video-based
9.5 Physiological & biometrics

Chapter 10 Market Estimates & Forecast, By End Use industry, 2021 - 2034 ($Bn)

10.1 Key trends
10.2 Retail & e-commerce
10.3 BFSI
10.4 IT & telecom
10.5 Healthcare
10.6 Education
10.7 Automotive
10.8 Media & entertainment
10.9 Others

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn, Units)

11.1 Key trends
11.2 North America
- 11.2.1 U.S.
- 11.2.2 Canada
11.3 Europe
- 11.3.1 UK
- 11.3.2 Germany
- 11.3.3 France
- 11.3.4 Spain
- 11.3.5 Italy
- 11.3.6 Russia
- 11.3.7 Nordics
11.4 Asia Pacific
- 11.4.1 China
- 11.4.2 India
- 11.4.3 Japan
- 11.4.4 South Korea
- 11.4.5 ANZ
- 11.4.6 Southeast Asia
11.5 Latin America
- 11.5.1 Brazil
- 11.5.2 Mexico
- 11.5.3 Argentina
11.6 MEA
- 11.6.1 UAE
- 11.6.2 South Africa
- 11.6.3 Saudi Arabia