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市场调查报告书
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1797695

情绪侦测与辨识市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测

Emotion Detection and Recognition Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024年，全球情绪侦测与辨识市场规模达295亿美元，预计到2034年将以12.9%的复合年增长率成长，达到993亿美元。这一成长主要得益于人工智慧、机器学习和多模式感测技术的持续进步。这些创新显着提高了情绪辨识系统的即时能力和精确度，使其在医疗保健、汽车、安防和零售等领域的应用日益广泛。该技术的应用范围也正在不断拓展，包括驾驶员行为监测、情绪健康追踪、定向广告和监控。

情绪检测与识别市场 - IMG1

公众对脸部辨识等一些关键技术的看法仍然存在分歧，持续的讨论集中在隐私和伦理部署方面。针对EDR专业人员的教育和认证课程应运而生，涵盖伦理AI培训和社会责任。北美凭藉在医疗AI、车辆安全应用方面的强劲投资以及强大的研究机构，引领着市场；而亚太地区则在印度、中国和韩国等国家积极的数位转型政策和AI投资的支持下，正在迅速赶上。不断发展的监管框架和全球各地区不断扩展的工业AI整合，进一步增强了市场的成长。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 295亿美元
预测值 993亿美元
复合年增长率 12.9%

软体领域在2024年占据了46%的市场份额，预计到2034年将以3.8%的复合年增长率成长。此领域涵盖能够进行脸部分析、语音辨识和多模式资料处理的情绪人工智慧平台。自然语言处理和神经网路架构的持续改进正在推动该领域的创新。这些软体工具广泛应用于基于情绪的客户分析、心理健康诊断和员工筛检等用例。随着企业越来越多地投资于提供即时情感智慧的平台，以增强服务个人化和营运洞察力，该领域以人工智慧为主导的解决方案正日益受到青睐。

2024年，脸部辨识系统市场占据27%的市场份额，预计到2034年将以10.7%的复合年增长率成长。该市场在汽车安全技术、零售分析和监控工具领域的广泛应用使其占据领先地位。脸部分析系统能够在各种环境下准确评估使用者情绪、驾驶警觉性和消费者反应。随着硬体效能的提升和脸部分析的日益精细化，其在智慧监控和行为评估平台中的整合度将持续提升。

美国情绪侦测与辨识市场占85%的市场份额，2024年市场规模达98亿美元。美国领先的地位源自于其成熟的医疗基础设施、人工智慧在数位服务领域的广泛应用，以及连网汽车和教育平台的持续创新。情绪人工智慧正越来越多地应用于个人化病患照护、分析课堂参与、监控道路安全以及提升各行各业的使用者体验。美国在智慧系统和人工智慧整合方面的大力投资，使其成为情绪分析发展的中心枢纽。

塑造全球情绪侦测与识别市场的关键产业参与者包括 Kairos AR、苹果、Realeyes、亚马逊网路服务 (AWS)、Entropik、IBM、Google (Alphabet)、微软、Uniphore、Smart Eye (Affectiva) 和 Verint。这些公司正在人工智慧驱动的情绪智慧和多模式分析领域积极创新，以获得竞争优势。产业领导者专注于高阶分析平台、可扩展 API 和情绪资料集，以提高跨多种语言和文化的模型准确性。与汽车、医疗保健和零售业的策略合作使这些公司能够将 EDR 技术嵌入到现实环境中。一些公司正在透过收购和遵守道德人工智慧准则来增强其产品，以满足监管要求和用户信任标准。

目录

第一章：方法论

  • 市场范围和定义
  • 研究设计
    • 研究方法
    • 资料收集方法
  • 资料探勘来源
    • 全球的
    • 地区/国家
  • 基础估算与计算
    • 基准年计算
    • 市场评估的主要趋势
  • 初步研究和验证
    • 主要来源
  • 预测模型
  • 研究假设和局限性

第二章：执行摘要

第三章：行业洞察

  • 产业生态系统分析
    • 供应商格局
    • 利润率分析
    • 成本结构
    • 每个阶段的增值
    • 影响价值链的因素
    • 中断
  • 产业衝击力
    • 成长动力
      • 人工智慧与多模式感测集成
      • 执法部门使用率不断提升
      • 医疗保健和零售业的需求不断增长
      • 拓展远距互动管道
      • 多模式人工智慧的进步
    • 产业陷阱与挑战
      • 隐私和道德问题
      • 资料安全与合规性
    • 市场机会
      • 道德人工智慧框架的开发
      • 汽车和智慧城市计画的扩展
      • 供应商与学术机构的合作
      • 亚太新兴市场
  • 成长潜力分析
  • 监管格局
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲
  • 波特的分析
  • PESTEL分析
  • 科技与创新格局
    • 当前的技术趋势
    • 新兴技术
  • 成本細項分析
  • 专利分析
  • 永续性和环境方面
    • 永续实践
    • 减少废弃物的策略
    • 生产中的能源效率
    • 环保倡议
    • 碳足迹考量
  • 用例
  • 最佳情况

第四章：竞争格局

  • 介绍
  • 公司市占率分析
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • MEA
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 战略展望矩阵
  • 关键进展
    • 併购
    • 伙伴关係与合作
    • 新产品发布
    • 扩张计划和资金

第五章：市场估计与预测：按组件，2021 - 2034 年

  • 硬体
    • 相机
    • 感应器
    • 穿戴式装置
  • 软体
    • 脸部表情辨识软体
    • 语音辨识软体
    • 手势辨识软体
    • 生物识别和生物感测器
  • 服务
    • 咨询
    • 整合与部署
    • 支援与维护

第六章：市场估计与预测：依技术分类，2021 - 2034 年

  • 主要趋势
  • 脸部辨识
  • 语音辨识
  • 机器学习与人工智慧（AI）
  • 生物特征分析
  • 模式识别与分析

第七章：市场估计与预测：依部署模式，2021 - 2034 年

  • 主要趋势
  • 基于云端
  • 本地
  • 杂交种

第八章：市场估计与预测：按应用，2021 - 2034 年

  • 主要趋势
  • 医疗保健
  • 人机互动（HCI）
  • 行销和广告
  • 安全与监控
  • 教育
  • 游戏和互动娱乐
  • 机器人和穿戴式技术

第九章：市场估计与预测：按地区，2021 - 2034 年

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

第十章：公司简介

  • Technology and cloud providers
  • Specialized Emotion AI companies
  • Emerging companies and startups
简介目录
Product Code: 14465

The Global Emotion Detection and Recognition Market was valued at USD 29.5 billion in 2024 and is estimated to grow at a CAGR of 12.9% to reach USD 99.3 billion by 2034. This surge is primarily fueled by ongoing advancements in artificial intelligence, machine learning, and multimodal sensing technologies. These innovations have significantly improved the real-time capabilities and precision of emotional recognition systems, which are increasingly used in sectors like healthcare, automotive, security, and retail. The technology is expanding into a wider array of applications, including driver behavior monitoring, emotional wellness tracking, targeted advertising, and surveillance.

Emotion Detection and Recognition Market - IMG1

Public opinion remains divided over some key technologies, such as facial recognition, with ongoing conversations centered around privacy and ethical deployment. Educational and certification programs for EDR professionals are emerging in response, incorporating ethical AI training and social accountability. North America is leading the market due to robust investments in healthcare AI, vehicle safety applications, and strong research institutions, while the Asia-Pacific region is rapidly catching up, backed by aggressive digital transformation policies and AI investments across countries like India, China, and South Korea. The market's growth is further strengthened by evolving regulatory frameworks and expanding industrial AI integrations across global regions.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$29.5 Billion
Forecast Value$99.3 Billion
CAGR12.9%

The software segment held a 46% share in 2024 and is expected to grow at a CAGR of 3.8% through 2034. This segment encompasses emotion AI platforms capable of facial analysis, voice recognition, and multimodal data processing. Continuous improvements in natural language processing and neural network architectures are driving innovation across this segment. These software tools are widely implemented in use cases such as emotion-based customer analytics, mental health diagnostics, and employee screening. AI-led solutions in this space are gaining traction as businesses increasingly invest in platforms that offer real-time emotional intelligence to enhance service personalization and operational insights.

The facial recognition systems segment held a 27% share in 2024 and is anticipated to grow at a CAGR of 10.7% through 2034. This segment leads due to its high adoption across automotive safety technologies, retail analytics, and monitoring tools. Facial analysis systems enable accurate assessment of user emotions, driver alertness, and consumer reactions in various environments. With hardware performance improving and facial analysis becoming more refined, its integration in smart surveillance and behavioral evaluation platforms continues to expand.

United States Emotion Detection and Recognition Market held an 85% share and generated USD 9.8 billion in 2024. The country's leadership stems from a mature healthcare infrastructure, broad implementation of AI in digital services, and ongoing innovation in connected vehicles and educational platforms. Emotion AI is increasingly used to personalize patient care, analyze classroom engagement, monitor road safety, and improve user experience across industries. Strong investments in intelligent systems and AI integration have made the US a central hub for emotion analytics development.

Key industry players shaping the Global Emotion Detection and Recognition Market include Kairos AR, Apple, Realeyes, Amazon Web Services (AWS), Entropik, IBM, Google (Alphabet), Microsoft, Uniphore, Smart Eye (Affectiva), and Verint. These companies are actively innovating in AI-driven emotional intelligence and multimodal analytics to gain a competitive advantage. Industry leaders are focusing on advanced analytics platforms, scalable APIs, and emotion datasets to improve model accuracy across multiple languages and cultures. Strategic collaborations with automotive, healthcare, and retail sectors enable these companies to embed EDR technologies into real-world environments. Several firms are enhancing their offerings through acquisitions and by aligning with ethical AI guidelines to meet regulatory requirements and user trust standards.

Table of Contents

Chapter 1 Methodology

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Component
    • 2.2.3 Technology
    • 2.2.4 Deployment Mode
    • 2.2.5 Application
  • 2.3 TAM Analysis, 2025-2034
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 AI and multimodal sensing integration
      • 3.2.1.2 Increasing use in law enforcement
      • 3.2.1.3 Rising demand in healthcare and retail
      • 3.2.1.4 Expansion of remote interaction channels
      • 3.2.1.5 Advancements in multimodal AI
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 Privacy and ethical concerns
      • 3.2.2.2 Data security and compliance
    • 3.2.3 Market opportunities
      • 3.2.3.1 Development of ethical AI frameworks
      • 3.2.3.2 Expansion in automotive and smart city projects
      • 3.2.3.3 Vendor-academic collaborations
      • 3.2.3.4 Emerging markets in Asia-Pacific
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 North America
    • 3.4.2 Europe
    • 3.4.3 Asia Pacific
    • 3.4.4 Latin America
    • 3.4.5 Middle East & Africa
  • 3.5 Porter's analysis
  • 3.6 PESTEL analysis
  • 3.7 Technology and Innovation landscape
    • 3.7.1 Current technological trends
    • 3.7.2 Emerging technologies
  • 3.8 Cost breakdown analysis
  • 3.9 Patent analysis
  • 3.10 Sustainability and environmental aspects
    • 3.10.1 Sustainable practices
    • 3.10.2 Waste reduction strategies
    • 3.10.3 Energy efficiency in production
    • 3.10.4 Eco-friendly Initiatives
    • 3.10.5 Carbon footprint considerations
  • 3.11 Use cases
  • 3.12 Best-case scenario

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New Product Launches
    • 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Mn)

  • 5.1 Hardware
    • 5.1.1 Cameras
    • 5.1.2 Sensors
    • 5.1.3 Wearables
  • 5.2 Software
    • 5.2.1 Facial Expression Recognition Software
    • 5.2.2 Speech & Voice Recognition Software
    • 5.2.3 Gesture Recognition Software
    • 5.2.4 Biometrics and Biosensors
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Integration & Deployment
    • 5.3.3 Support & Maintenance

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

  • 6.1 Key trends
  • 6.2 Facial Recognition
  • 6.3 Speech Recognition
  • 6.4 Machine Learning & Artificial Intelligence (AI)
  • 6.5 Biometric Analysis
  • 6.6 Pattern Recognition & Analytics

Chapter 7 Market Estimates & Forecast, By Deployment Mode, 2021 - 2034 ($Mn)

  • 7.1 Key trends
  • 7.2 Cloud-based
  • 7.3 On-premises
  • 7.4 Hybrid

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2034 ($Mn)

  • 8.1 Key trends
  • 8.2 Medical and Healthcare
  • 8.3 Human-Computer Interaction (HCI)
  • 8.4 Marketing and Advertising
  • 8.5 Security and Surveillance
  • 8.6 Education
  • 8.7 Gaming and Interactive Entertainment
  • 8.8 Robotics and Wearable Technology

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Nordics
    • 9.3.7 Russia
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 Australia
    • 9.4.5 South Korea
    • 9.4.6 Southeast Asia
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
  • 9.6 MEA
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 UAE

Chapter 10 Company Profiles

  • 10.1 Technology and cloud providers
    • 10.1.1 Amazon Web Services
    • 10.1.2 Apple (Emotient)
    • 10.1.3 Facebook (Meta Platforms)
    • 10.1.4 Google
    • 10.1.5 IBM
    • 10.1.6 Intel
    • 10.1.7 Microsoft
    • 10.1.8 NVIDIA
  • 10.2 Specialized Emotion AI companies
    • 10.2.1 Affectiva (Smart Eye)
    • 10.2.2 Beyond Verbal Communications
    • 10.2.3 Cogito
    • 10.2.4 Elliptic Labs
    • 10.2.5 Eyeris Technologies
    • 10.2.6 Kairos AR
    • 10.2.7 Noldus Information Technology
    • 10.2.8 Realeyes (Attention Insight)
    • 10.2.9 Sightcorp
  • 10.3 Emerging companies and startups
    • 10.3.1 AnyVision
    • 10.3.2 Avanade
    • 10.3.3 Cognitec Systems
    • 10.3.4 Facefirst
    • 10.3.5 Hume AI
    • 10.3.6 Paravision
    • 10.3.7 Trueface
    • 10.3.8 Uniphore
    • 10.3.9 VoiceSense