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市场调查报告书
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1520713

全球情感人工智慧市场规模研究（按组成部分、企业规模、应用程式和 2022-2032 年区域预测）

Global Emotion AI Market Size Study, by Component, by Enterprise Size, by Application, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3个工作天内

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简介目录

2023年全球情绪人工智慧市场价值约为22.1亿美元，预计在2024-2032年预测期内将以超过22.91%的健康成长率成长。情感人工智慧，也称为情感计算，是解释和回应人类情感的人工智慧的一个子集。该技术涵盖自然语言处理（NLP）、情绪分析、语音情绪人工智慧和脸部运动分析，从文字、音讯和视讯来源中获取情感洞察。情感AI的应用涵盖各行业，透过提供即时情感分析来增强行销、医疗保健、金融等方面的能力。将情感人工智慧与物联网、云端运算和进阶分析等新兴技术结合的趋势，推动创新并扩大应用领域。例如，AB Tasty's 推出了 EmotionsAI，强调了 2023 年基于人工智慧的受众基于情感需求的潜力，为个性化客户体验和促进市场成长铺平了道路。

在人工智慧和机器学习技术的快速进步以及生物辨识和脸部辨识系统的广泛采用的推动下，情感人工智慧市场正在经历强劲成长。这些技术使电脑和设备能够根据面部表情、语气和手势来检测、解释和回应人类情绪。医疗保健、零售、汽车和娱乐等各行业的组织正在利用情感人工智慧来增强客户体验、个人化互动并改善服务交付。例如，在医疗保健领域，情绪人工智慧有助于患者监测和心理健康评估，而在零售领域，它可以优化客户参与和回馈分析。生物辨识技术、脸部辨识与情绪人工智慧的整合增强了安全系统，实现了更准确的识别和身份验证过程。此外，人工智慧演算法的进步不断完善情绪辨识能力，使其更加可靠和通用。随着这些技术变得更加复杂和易于使用，对情感人工智慧解决方案的需求预计将进一步增长，从而推动创新并改变企业和个人以更直观和响应更快的方式与技术互动的方式。此外，不同行业中情绪检测解决方案的使用不断增加推动了市场扩张。然而，与应用程式开发和资料管理相关的高成本给市场成长带来了挑战。

全球情感人工智慧市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲以及中东和非洲。 2023年，在优先考虑资料安全和合规性的大型企业和政府组织的强劲推动下，北美在情感人工智慧市场占据主导地位。北美拥有蓬勃发展的科技生态系统，集中了领先的人工智慧公司、研究机构和专门从事情感识别技术的新创公司。这些实体推动创新并制定行业标准，吸引对人工智慧驱动解决方案的大量投资。北美的医疗保健、零售、汽车和娱乐等产业是情感人工智慧应用的早期采用者。这些行业利用情感识别来增强客户体验、个人化服务并优化营运效率。例如，在医疗保健领域，情绪人工智慧透过分析情绪线索和反应来帮助患者护理，而在零售领域，它可以改善行销策略和客户满意度。此外，由于网路攻击事件数量不断增加以及该地区各行业对先进情感人工智慧解决方案的需求不断增加，预计亚太地区在 2024 年至 2032 年预测期内将呈现最高成长。

目录

第 1 章：全球情感人工智慧市场执行摘要

  • 全球情感人工智慧市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按组件
    • 按企业规模
    • 按申请
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球情感人工智慧市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包含与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第三章：全球情感人工智慧市场动态

  • 市场驱动因素
    • 人工智慧和机器学习技术大幅成长
    • 生物辨识和脸部辨识技术的采用增加
    • 情绪检测解决方案的使用激增
  • 市场挑战
    • 应用开发成本高
    • 资料储存和管理问题
  • 市场机会
    • 整合基于物联网的技术
    • 穿戴式装置的扩展
    • 安全资料视觉化工具的兴起

第 4 章：全球情感 AI 市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的五力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：2022-2032 年全球情感 AI 市场规模及组成部分预测

  • 细分仪表板
  • 全球情感人工智慧市场：2022 年和 2032 年组件收入趋势分析
    • 软体
    • 服务

第 6 章：2022-2032 年全球情感 AI 市场规模与企业规模预测

  • 细分仪表板
  • 全球情感人工智慧市场：2022年及2032年企业规模收入趋势分析
    • 大型企业
    • 中小企业

第 7 章：2022-2032 年全球情感 AI 市场规模及应用预测

  • 细分仪表板
  • 全球情感人工智慧市场：2022 年和 2032 年应用收入趋势分析
    • BFSI
    • 卫生保健
    • 资讯科技和电信
    • 零售及电子商务
    • 政府
    • 媒体与娱乐
    • 汽车
    • 其他的

第 8 章：2022-2032 年全球情感 AI 市场规模及地区预测

  • 北美情感人工智慧市场
    • 美国情感人工智慧市场
      • 2022-2032 年组件细分尺寸与预测
      • 2022-2032 年企业规模细分规模与预测
      • 2022-2032 年应用细分规模与预测
    • 加拿大情感人工智慧市场
      • 2022-2032 年组件细分尺寸与预测
      • 2022-2032 年企业规模细分规模与预测
      • 2022-2032 年应用细分规模与预测
  • 欧洲情感人工智慧市场
    • 英国情感人工智慧市场
    • 德国情感人工智慧市场
    • 法国情感人工智慧市场
    • 西班牙情感人工智慧市场
    • 义大利情感人工智慧市场
    • 欧洲其他地区情感人工智慧市场
  • 亚太情感人工智慧市场
    • 中国情感人工智慧市场
    • 印度情感人工智慧市场
    • 日本情感AI市场
    • 澳洲情感人工智慧市场
    • 韩国情感AI市场
    • 亚太地区其他情感人工智慧市场
  • 拉丁美洲情感人工智慧市场
    • 巴西情感人工智慧市场
    • 墨西哥情感人工智慧市场
    • 拉丁美洲其他地区情感人工智慧市场
  • 中东和非洲情感人工智慧市场
    • 沙乌地阿拉伯情感人工智慧市场
    • 南非情感人工智慧市场
    • 中东和非洲其他地区情感人工智慧市场

第 9 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • Affectiva
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • IBM Corporation
    • Microsoft Corporation
    • Beyond Verbal
    • Kairos
    • Noldus Information Technology
    • Realeyes
    • Sentiance
    • Sightcorp
    • CrowdEmotion
    • Cognitec Systems
    • Eyeris
    • NEC Corporation
    • Nuance Communications
    • Tobii AB

第 10 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

Global Emotion AI Market is valued at approximately USD 2.21 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 22.91% over the forecast period 2024-2032. Emotion AI, also known as affective computing, is a subset of artificial intelligence that interprets and responds to human emotions. This technology encompasses natural language processing (NLP), sentiment analysis, voice emotion AI, and facial movement analysis, deriving emotional insights from text, audio, and video sources. Emotion AI's applications span various industries, enhancing capabilities in marketing, healthcare, finance, and more, by offering real-time emotional analysis. The trend towards integrating emotion AI with emerging technologies like IoT, cloud computing, and advanced analytics, driving innovation and expanding application areas. For instance, AB Tasty's launched its EmotionsAI that highlights the potential of AI-based audience based on emotional needs in 2023, paving the way for personalized customer experiences and boosting market growth.

The emotion AI market is experiencing robust growth driven by rapid advancements in AI and machine learning technologies, coupled with increased adoption of biometrics and facial recognition systems. These technologies enable computers and devices to detect, interpret, and respond to human emotions based on facial expressions, voice tones, and gestures. Organizations across various industries, including healthcare, retail, automotive, and entertainment, are leveraging emotion AI to enhance customer experiences, personalize interactions, and improve service delivery. For instance, in healthcare, emotion AI helps in patient monitoring and mental health assessment, while in retail, it optimizes customer engagement and feedback analysis. The integration of biometrics and facial recognition with emotion AI enhances security systems, enabling more accurate identification and authentication processes. Moreover, advancements in AI algorithms continually refine emotion recognition capabilities, making them more reliable and versatile. As these technologies become more sophisticated and accessible, the demand for emotion AI solutions is expected to grow further, driving innovation and transforming how businesses and individuals interact with technology in a more intuitive and responsive manner. Furthermore, the rising usage of emotion detection solutions across diverse industries propels market expansion. However, the high cost associated with application development and data management poses challenges to market growth.

The key regions considered for the Global Emotion AI Market study include Asia Pacific, North America, Europe, Latin America, and the Middle East & Africa. In 2023, North America held the dominant share in the emotion AI market, driven by the strong presence of large enterprises and government organizations prioritizing data safety and compliance. North America is home to a thriving tech ecosystem with a concentration of leading AI companies, research institutions, and startups specializing in emotion recognition technologies. These entities drive innovation and set industry standards, attracting substantial investments in AI-driven solutions. Industries in North America, including healthcare, retail, automotive, and entertainment, are early adopters of emotion AI applications. These sectors leverage emotion recognition to enhance customer experiences, personalize services, and optimize operational efficiencies. For instance, in healthcare, emotion AI aids in patient care by analyzing emotional cues and responses, while in retail, it improves marketing strategies and customer satisfaction. Furthermore, Asia-Pacific is projected to exhibit the highest growth during the forecast period 2024-2032, attributed to the rising number of cyberattack incidents and the increasing demand for advanced emotion AI solutions across various industries in the region.

Major market players included in this report are:

  • Affectiva
  • IBM Corporation
  • Microsoft Corporation
  • Beyond Verbal
  • Kairos
  • Noldus Information Technology
  • Realeyes
  • Sentiance
  • Sightcorp
  • CrowdEmotion
  • Cognitec Systems
  • Eyeris
  • NEC Corporation
  • Nuance Communications
  • Tobii AB

The detailed segments and sub-segment of the market are explained below:

By Component:

  • Software
  • Service

By Enterprise Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises

By Application:

  • BFSI
  • Healthcare
  • IT and Telecommunication
  • Retail and E-commerce
  • Government
  • Media and Entertainment
  • Automotive
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Emotion AI Market Executive Summary

  • 1.1. Global Emotion AI Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Enterprise Size
    • 1.3.3. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Emotion AI Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Emotion AI Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Substantial growth in AI and ML technologies
    • 3.1.2. Increase in adoption of biometrics and facial recognition
    • 3.1.3. Surge in usage of emotion detection solutions
  • 3.2. Market Challenges
    • 3.2.1. High cost of application and development
    • 3.2.2. Data storage and management issues
  • 3.3. Market Opportunities
    • 3.3.1. Integration in IoT-based technologies
    • 3.3.2. Expansion of wearable devices
    • 3.3.3. Rise in visualization tools for security data

Chapter 4. Global Emotion AI Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Emotion AI Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Emotion AI Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Software
    • 5.2.2. Service

Chapter 6. Global Emotion AI Market Size & Forecasts by Enterprise Size 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Emotion AI Market: Enterprise Size Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Large Enterprises
    • 6.2.2. Small and Medium-sized Enterprises

Chapter 7. Global Emotion AI Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Emotion AI Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. BFSI
    • 7.2.2. Healthcare
    • 7.2.3. IT and Telecommunication
    • 7.2.4. Retail and E-commerce
    • 7.2.5. Government
    • 7.2.6. Media and Entertainment
    • 7.2.7. Automotive
    • 7.2.8. Others

Chapter 8. Global Emotion AI Market Size & Forecasts by Region 2022-2032

  • 8.1. North America Emotion AI Market
    • 8.1.1. U.S. Emotion AI Market
      • 8.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Enterprise Size breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Application breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada Emotion AI Market
      • 8.1.2.1. Component breakdown size & forecasts, 2022-2032
      • 8.1.2.2. Enterprise Size breakdown size & forecasts, 2022-2032
      • 8.1.2.3. Application breakdown size & forecasts, 2022-2032
  • 8.2. Europe Emotion AI Market
    • 8.2.1. U.K. Emotion AI Market
    • 8.2.2. Germany Emotion AI Market
    • 8.2.3. France Emotion AI Market
    • 8.2.4. Spain Emotion AI Market
    • 8.2.5. Italy Emotion AI Market
    • 8.2.6. Rest of Europe Emotion AI Market
  • 8.3. Asia-Pacific Emotion AI Market
    • 8.3.1. China Emotion AI Market
    • 8.3.2. India Emotion AI Market
    • 8.3.3. Japan Emotion AI Market
    • 8.3.4. Australia Emotion AI Market
    • 8.3.5. South Korea Emotion AI Market
    • 8.3.6. Rest of Asia Pacific Emotion AI Market
  • 8.4. Latin America Emotion AI Market
    • 8.4.1. Brazil Emotion AI Market
    • 8.4.2. Mexico Emotion AI Market
    • 8.4.3. Rest of Latin America Emotion AI Market
  • 8.5. Middle East & Africa Emotion AI Market
    • 8.5.1. Saudi Arabia Emotion AI Market
    • 8.5.2. South Africa Emotion AI Market
    • 8.5.3. Rest of Middle East & Africa Emotion AI Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. Affectiva
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. IBM Corporation
    • 9.3.3. Microsoft Corporation
    • 9.3.4. Beyond Verbal
    • 9.3.5. Kairos
    • 9.3.6. Noldus Information Technology
    • 9.3.7. Realeyes
    • 9.3.8. Sentiance
    • 9.3.9. Sightcorp
    • 9.3.10. CrowdEmotion
    • 9.3.11. Cognitec Systems
    • 9.3.12. Eyeris
    • 9.3.13. NEC Corporation
    • 9.3.14. Nuance Communications
    • 9.3.15. Tobii AB

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes