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市场调查报告书
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1797979

2032 年情感 AI 市场预测：按产品、检测方式、部署模式、公司规模、技术、应用、最终用户和地区进行的全球分析

Emotion AI Market Forecasts to 2032 - Global Analysis By Offering, Detection Modality, Deployment Mode, Enterprise Size, Technology, 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 的数据，全球情绪 AI 市场预计在 2025 年达到 33.1 亿美元，到 2032 年将达到 137 亿美元，预测期内的复合年增长率为 22.6%。

情感人工智慧（Emotion AI），又称情感运算，是人工智慧的一个专业领域，旨在使机器能够侦测、解读和回应人类的情感。它利用脸部辨识、语音分析和自然语言处理等技术，分析来自文字、语音和视觉数据的情绪线索。透过模拟情绪智商，情绪人工智慧可以增强人机交互，支援心理健康监测，并提升医疗保健、教育、行销和客户服务等领域的使用者体验。

根据《发现应用科学》（2025 年）发表的科学计量分析，2004 年至 2023 年间，有关情绪辨识的学术论文超过 39,686 篇，反映出学术兴趣的显着增加。

企业对加强客户互动的需求不断增加

情绪人工智慧 (Emotion AI) 能够分析各种情感线索，从客服中心的语气、零售环境中的面部表情，到基于文字的交流中的情绪，使企业能够超越传统分析。这项技术能够以前所未有的规模实现客户旅程的个人化，从而带来更有意义的互动、更高的满意度并显着提升品牌忠诚度。这在电子商务和零售等行业尤其如此，因为正面的情感连结会直接影响购买决策和回头客。

隐私和道德问题

高度敏感的生物特征数据（例如即时面部表情和语音调製）的收集和分析引发了人们对监控和潜在数据滥用的担忧。消费者和倡导团体越来越担心他们的情绪数据可能在未经明确同意的情况下被储存、使用和出售，从而导致不信任的氛围。这也促使政府和监管机构考虑并实施更严格的资料保护法，这可能会使情绪人工智慧解决方案的部署和应用变得更加复杂。

与物联网、AR/VR 和人工智慧主导的心理健康护理相结合

在智慧家庭和联网汽车，情感人工智慧可以根据使用者的情绪调整环境，提升舒适度和安全性。在扩增实境/虚拟实境 (AR/VR) 应用中，情绪回馈可个人化虚拟体验，使游戏、训练和治疗更具回应性和沈浸感。此外，情绪人工智慧在心理健康诊断领域也日益受到关注，有助于识别情绪困扰和行为异常。透过支援早期疗育和个人化护理，这些整合正在为建立即时回应人类需求的情感智慧生态系统铺平道路。

标准化程度有限、存在偏见和误解

文化表达、个人行为和情境线索的差异可能导致对情绪的解读不一致或不准确。偏见，尤其是在缺乏多样性的训练资料集中，会进一步扭曲结果，并削弱人们对情绪人工智慧系统的信任。对情绪状态的误解可能导致判断错误，尤其是在招募、执法和心理健康等敏感领域。这些风险凸显了透明检验通讯协定、全面资料实践和跨产业协作的迫切需求，以确保部署符合伦理道德且准确无误。

COVID-19的影响：

新冠疫情加速了各行各业的数位转型，并为情感人工智慧的应用开闢了新的途径。随着远距办公、虚拟学习和远端医疗成为主流，企业纷纷寻求在虚拟环境中衡量同理心和幸福感的工具。情感人工智慧透过在视讯通话、线上治疗和远端客户互动中实现即时情绪分析，帮助弥合了数位沟通中的同理心缺口。同时，人们日益增长的心理健康意识也激发了人们对用于压力检测和情绪追踪的情绪感知应用的兴趣。

预计软体部门将成为预测期内最大的部门

由于软体的多功能性和跨平台扩充性，预计在预测期内将占据最大的市场占有率。情绪辨识软体嵌入行动应用程式、企业系统和云端基础分析工具中，可与现有工作流程无缝整合。它能够处理语音、面部表情和文字等多模态数据，这对于即时情绪追踪至关重要。人工智慧模型的持续更新和改进进一步提升了效能，使软体解决方案成为情绪人工智慧应用的支柱。

预计自然语言处理 (NLP) 在预测期内将以最高复合年增长率成长

自然语言处理 (NLP) 领域预计将在预测期内实现最高成长率，这得益于其在解读文字和语音中的情绪线索方面发挥的关键作用。随着对话式人工智慧日益复杂，NLP 使系统能够更准确地侦测情绪、语气和意图。这种能力对于客户服务、心理健康聊天机器人和虚拟助理等应用至关重要，因为理解情绪情境可以提升使用者体验。转换模型和语境嵌入的进步正在突破情绪感知语言处理的界限。

占比最大的地区：

由于强大的数位基础设施和日益增长的技术应用，亚太地区预计将在预测期内占据最大的市场占有率。中国、日本和韩国等国正大力投资人工智慧研究，情感人工智慧正被纳入教育、零售和公共领域。该地区庞大的人口和以行动为先的消费者群体，使其成为电子商务和娱乐领域情感识别应用的沃土。政府支持的人工智慧专案和良好的法规环境正在进一步加速其部署。

复合年增长率最高的地区：

由于强大的创新生态系统和各行业的早期应用，北美预计将在预测期内实现最高的复合年增长率。美国和加拿大在医疗保健、汽车和企业沟通领域越来越多地采用情感人工智慧，这些领域的情感洞察可以增强决策能力和使用者参与度。领先的人工智慧公司、学术机构和创业投资的支援正在推动技术的快速进步。此外，日益增长的心理健康意识和对情绪响应型数位工具的需求也在推动该技术的成长。

免费客製化服务：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

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
    • 主要研究资料
    • 二手研究资料
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19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：情感人工智慧市场（按产品）

  • 软体
    • 情绪辨识软体
    • 情绪分析工具
    • 脸部、语音和 NLP 工具
  • 服务
    • 专业服务
    • 託管服务
    • 咨询/整合/培训
  • 其他服务

6. 全球情感人工智慧市场（按检测方式）

  • 脸部表情辨识
  • 语音辨识
  • 基于文本/NLP的检测
  • 手势和姿势
  • 生理讯号
  • 其他检测方法

第七章 全球情感人工智慧市场（按部署模式）

  • 云端基础
  • 本地
  • 杂交种

第 8 章：全球情感 AI 市场（依公司规模）

  • 大公司
  • 小型企业

9. 全球情感人工智慧市场（按技术）

  • 深度学习
  • 神经网路
  • 肢体语言与手势姿态分析
  • 情绪分析
  • 以文字为主的情绪检测
  • 生物识别感测器
  • 声带生物标记分析
  • 其他技术

第 10 章全球情感人工智慧市场（按应用）

  • 客服中心分析
  • 客户回馈和调查
  • 零售与电子商务个人化
  • 心理健康与幸福
  • 患者照护和远端医疗
  • 驾驶员安全和疲劳检测
  • 个性化的车内体验
  • 广告宣传效果分析
  • 情感驱动的内容创作
  • 虚拟助理和聊天机器人
  • 其他用途

第 11 章 全球情感人工智慧市场（按最终用户）

  • 车
  • 医疗保健和生命科学
  • 银行、金融服务和保险（BFSI）
  • 资讯科技/通讯
  • 媒体与娱乐
  • 政府和国防
  • 教育
  • 其他最终用户

第十二章 全球情感人工智慧市场（按地区）

  • 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
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 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

第十三章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十四章 公司概况

  • Visage Technologies AB
  • Tobii AB
  • Sighthound, Inc.
  • Realeyes OU
  • nViso SA
  • Neurodata Lab LLC
  • Microsoft Corporation
  • Kairos AR, Inc
  • iMotions A/S
  • IBM Corporation
  • Google LLC
  • Eyeris Technologies, Inc.
  • Emotient, Inc.
  • Cognitec Systems GmbH
  • Beyond Verbal Communication Ltd.
  • Amazon Web Services, Inc.
  • Affectiva, Inc.
  • Affect Lab
Product Code: SMRC30349

According to Stratistics MRC, the Global Emotion AI Market is accounted for $3.31 billion in 2025 and is expected to reach $13.7 billion by 2032 growing at a CAGR of 22.6% during the forecast period. Emotion AI, also known as affective computing, is a specialized branch of artificial intelligence that enables machines to detect, interpret, and respond to human emotions. It utilizes technologies such as facial recognition, voice analysis, and natural language processing to analyze emotional cues from text, speech, and visual data. By simulating emotional intelligence, Emotion AI enhances human-computer interaction, supports mental health monitoring, and improves user experience across sectors like healthcare, education, marketing, and customer service.

According to a scientometric analysis published in Discover Applied Sciences (2025), over 39,686 scholarly articles on emotion recognition were indexed between 2004 and 2023, reflecting a substantial growth in academic interest.

Market Dynamics:

Driver:

Increasing demand from businesses to enhance customer interactions

Companies are leveraging Emotion AI to move beyond traditional analytics by analyzing a wide range of emotional cues from tone of voice in call centers to facial expressions in retail environments and sentiment in text-based communications. This technology enables the personalization of customer journeys on an unprecedented scale, leading to more meaningful engagements, improved satisfaction scores, and a significant boost in brand loyalty. This is especially true for industries like e-commerce and retail, where a positive emotional connection can directly influence purchasing decisions and repeat business.

Restraint:

Privacy and ethical concerns

The collection and analysis of highly sensitive biometric data, such as real-time facial expressions and voice modulations, raises substantial concerns about surveillance and the potential for data misuse. Consumers and advocacy groups are increasingly wary of how their emotional data might be stored, used, or sold without explicit consent, leading to a climate of distrust. This has also prompted governments and regulatory bodies to consider and implement stricter data protection laws, which could complicate the deployment and adoption of Emotion AI solutions.

Opportunity:

Integration with IoT and AR/VR & AI-driven mental healthcare

In smart homes and connected vehicles, Emotion AI can adapt environments based on user mood, enhancing comfort and safety. In AR/VR applications, emotional feedback can personalize virtual experiences, making gaming, training, and therapy more responsive and immersive. Moreover, Emotion AI is gaining traction in mental health diagnostics, where it helps identify emotional distress and behavioral anomalies. By supporting early intervention and personalized care, these integrations are paving the way for emotionally intelligent ecosystems that respond to human needs in real time.

Threat:

Limited standardization & bias & misinterpretation

Variations in cultural expression, individual behavior, and contextual cues can lead to inconsistent or inaccurate emotional interpretations. Bias in training datasets especially those lacking diversities can further skew results, undermining trust in Emotion AI systems. Misinterpretation of emotional states may result in flawed decisions, particularly in sensitive domains like recruitment, law enforcement, or mental health. These risks highlight the urgent need for transparent validation protocols, inclusive data practices, and cross-industry collaboration to ensure ethical and accurate deployment.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation across industries, creating new avenues for Emotion AI adoption. With remote work, virtual learning, and telehealth becoming mainstream, organizations sought tools to gauge emotional engagement and well-being in virtual settings. Emotion AI helped bridge the empathy gap in digital communication by enabling real-time sentiment analysis during video calls, online therapy sessions, and remote customer interactions. At the same time, heightened awareness around mental health drove interest in emotion-sensing applications for stress detection and mood tracking.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period driven by its versatility and scalability across platforms. Emotion recognition software is being embedded into mobile apps, enterprise systems, and cloud-based analytics tools, enabling seamless integration with existing workflows. Its ability to process multimodal data such as voice, facial expressions, and text makes it indispensable for real-time emotion tracking. Continuous updates and AI model improvements further enhance performance, making software solutions the backbone of Emotion AI deployments.

The natural language processing (NLP) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the natural language processing (NLP) segment is predicted to witness the highest growth rate fuelled by its critical role in interpreting emotional cues from text and speech. As conversational AI becomes more sophisticated, NLP enables systems to detect sentiment, tone, and intent with increasing accuracy. This capability is vital for applications in customer service, mental health chatbots, and virtual assistants, where understanding emotional context enhances user experience. Advances in transformer models and contextual embeddings are pushing the boundaries of emotion-aware language processing.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share supported by robust digital infrastructure and growing tech adoption. Countries like China, Japan, and South Korea are investing heavily in AI research, with Emotion AI being integrated into education, retail, and public safety initiatives. The region's large population and mobile-first consumer base offer fertile ground for emotion-aware applications in e-commerce and entertainment. Government-backed AI programs and favorable regulatory environments are further accelerating deployment.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR attributed to strong innovation ecosystems and early adoption across sectors. The U.S. and Canada are witnessing increased use of Emotion AI in healthcare, automotive, and enterprise communication, where emotional insights enhance decision-making and user engagement. The presence of leading AI firms, academic institutions, and venture capital support is fostering rapid technological advancement. Additionally, rising mental health awareness and demand for emotionally responsive digital tools are propelling growth.

Key players in the market

Some of the key players in Emotion AI Market include Visage Technologies AB, Tobii AB, Sighthound, Inc., Realeyes OU, nViso SA, Neurodata Lab LLC, Microsoft Corporation, Kairos AR, Inc, iMotions A/S, IBM Corporation, Google LLC, Eyeris Technologies, Inc., Emotient, Inc., Cognitec Systems GmbH, Beyond Verbal Communication Ltd., Amazon Web Services, Inc., Affectiva, Inc., and Affect Lab

Key Developments:

In June 2025, Tobii renewed and strengthened its existing agreement to supply Dynavox Group with eye-tracking components, involving a volume deal worth approximately SEK 100 million. This multi-year partnership ensures long-term collaboration in assistive communication technology.

In June 2025, Visage Imaging Visage showcased its top offerings such as Visage 7 | CloudPACS, GenAI, Visage Chat, and efficiency-driven imaging workflows reinforcing its leadership in cloud-based medical imaging.

In January 2025, iMotions will incorporate Affectiva's Media Analytics into its platform, forming a unified global behavioral research unit under the Smart Eye Group. The integration enhances multimodal research capabilities for academia, brands, and agencies.

Offerings Covered:

  • Software
  • Services
  • Other Offerings

Detection Modalities Covered:

  • Facial Expression Recognition
  • Speech & Voice Recognition
  • Text / NLP-based Detection
  • Gesture & Body Posture
  • Physiological Signals
  • Other Detection Modalities

Deployment Modes Covered:

  • Cloud-based
  • On-premise
  • Hybrid

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium-sized Enterprises

Technologies Covered:

  • Deep Learning
  • Neural Networks
  • Body Language and Gesture Analysis
  • Sentiment Analysis
  • Text-based Emotion Detection
  • Biometric Sensors
  • Vocal Biomarker Analysis
  • Other Technologies

Applications Covered:

  • Call Center Analytics
  • Customer Feedback and Surveys
  • Retail & E-commerce Personalization
  • Mental Health & Well-being
  • Patient Care & Telemedicine
  • Driver Safety & Fatigue Detection
  • In-cabin Experience Personalization
  • Ad Campaign Performance Analysis
  • Emotion-based Content Creation
  • Virtual Assistants and Chatbots
  • Other Applications

End Users Covered:

  • Automotive
  • Healthcare & Life Sciences
  • Banking, Financial Services, and Insurance (BFSI)
  • IT & Telecom
  • Media & Entertainment
  • Government & Defense
  • Education
  • 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 Technology 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 Emotion AI Market, By Offering

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Emotion Recognition Software
    • 5.2.2 Sentiment Analysis Tools
    • 5.2.3 Facial, Speech, and NLP Tools
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services
    • 5.3.3 Consulting / Integration / Training
  • 5.4 Other Offerings

6 Global Emotion AI Market, By Detection Modality

  • 6.1 Introduction
  • 6.2 Facial Expression Recognition
  • 6.3 Speech & Voice Recognition
  • 6.4 Text / NLP-based Detection
  • 6.5 Gesture & Body Posture
  • 6.6 Physiological Signals
  • 6.7 Other Detection Modalities

7 Global Emotion AI Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud-based
  • 7.3 On-premise
  • 7.4 Hybrid

8 Global Emotion AI Market, By Enterprise Size

  • 8.1 Introduction
  • 8.2 Large Enterprises
  • 8.3 Small & Medium-sized Enterprises

9 Global Emotion AI Market, By Technology

  • 9.1 Introduction
  • 9.2 Deep Learning
  • 9.3 Neural Networks
  • 9.4 Body Language and Gesture Analysis
  • 9.5 Sentiment Analysis
  • 9.6 Text-based Emotion Detection
  • 9.7 Biometric Sensors
  • 9.8 Vocal Biomarker Analysis
  • 9.9 Other Technologies

10 Global Emotion AI Market, By Application

  • 10.1 Introduction
  • 10.2 Call Center Analytics
  • 10.3 Customer Feedback and Surveys
  • 10.4 Retail & E-commerce Personalization
  • 10.5 Mental Health & Well-being
  • 10.6 Patient Care & Telemedicine
  • 10.7 Driver Safety & Fatigue Detection
  • 10.8 In-cabin Experience Personalization
  • 10.9 Ad Campaign Performance Analysis
  • 10.10 Emotion-based Content Creation
  • 10.11 Virtual Assistants and Chatbots
  • 10.12 Other Applications

11 Global Emotion AI Market, By End User

  • 11.1 Introduction
  • 11.2 Automotive
  • 11.3 Healthcare & Life Sciences
  • 11.4 Banking, Financial Services, and Insurance (BFSI)
  • 11.5 IT & Telecom
  • 11.6 Media & Entertainment
  • 11.7 Government & Defense
  • 11.8 Education
  • 11.9 Other End Users

12 Global Emotion AI Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Visage Technologies AB
  • 14.2 Tobii AB
  • 14.3 Sighthound, Inc.
  • 14.4 Realeyes OU
  • 14.5 nViso SA
  • 14.6 Neurodata Lab LLC
  • 14.7 Microsoft Corporation
  • 14.8 Kairos AR, Inc
  • 14.9 iMotions A/S
  • 14.10 IBM Corporation
  • 14.11 Google LLC
  • 14.12 Eyeris Technologies, Inc.
  • 14.13 Emotient, Inc.
  • 14.14 Cognitec Systems GmbH
  • 14.15 Beyond Verbal Communication Ltd.
  • 14.16 Amazon Web Services, Inc.
  • 14.17 Affectiva, Inc.
  • 14.18 Affect Lab

List of Tables

  • Table 1 Global Emotion AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Emotion AI Market Outlook, By Offering (2024-2032) ($MN)
  • Table 3 Global Emotion AI Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Emotion AI Market Outlook, By Emotion Recognition Software (2024-2032) ($MN)
  • Table 5 Global Emotion AI Market Outlook, By Sentiment Analysis Tools (2024-2032) ($MN)
  • Table 6 Global Emotion AI Market Outlook, By Facial, Speech, and NLP Tools (2024-2032) ($MN)
  • Table 7 Global Emotion AI Market Outlook, By Services (2024-2032) ($MN)
  • Table 8 Global Emotion AI Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 9 Global Emotion AI Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 10 Global Emotion AI Market Outlook, By Consulting / Integration / Training (2024-2032) ($MN)
  • Table 11 Global Emotion AI Market Outlook, By Other Offerings (2024-2032) ($MN)
  • Table 12 Global Emotion AI Market Outlook, By Detection Modality (2024-2032) ($MN)
  • Table 13 Global Emotion AI Market Outlook, By Facial Expression Recognition (2024-2032) ($MN)
  • Table 14 Global Emotion AI Market Outlook, By Speech & Voice Recognition (2024-2032) ($MN)
  • Table 15 Global Emotion AI Market Outlook, By Text / NLP-based Detection (2024-2032) ($MN)
  • Table 16 Global Emotion AI Market Outlook, By Gesture & Body Posture (2024-2032) ($MN)
  • Table 17 Global Emotion AI Market Outlook, By Physiological Signals (2024-2032) ($MN)
  • Table 18 Global Emotion AI Market Outlook, By Other Detection Modalities (2024-2032) ($MN)
  • Table 19 Global Emotion AI Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 20 Global Emotion AI Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 21 Global Emotion AI Market Outlook, By On-premise (2024-2032) ($MN)
  • Table 22 Global Emotion AI Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 23 Global Emotion AI Market Outlook, By Enterprise Size (2024-2032) ($MN)
  • Table 24 Global Emotion AI Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 25 Global Emotion AI Market Outlook, By Small & Medium-sized Enterprises (2024-2032) ($MN)
  • Table 26 Global Emotion AI Market Outlook, By Technology (2024-2032) ($MN)
  • Table 27 Global Emotion AI Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 28 Global Emotion AI Market Outlook, By Neural Networks (2024-2032) ($MN)
  • Table 29 Global Emotion AI Market Outlook, By Body Language and Gesture Analysis (2024-2032) ($MN)
  • Table 30 Global Emotion AI Market Outlook, By Sentiment Analysis (2024-2032) ($MN)
  • Table 31 Global Emotion AI Market Outlook, By Text-based Emotion Detection (2024-2032) ($MN)
  • Table 32 Global Emotion AI Market Outlook, By Biometric Sensors (2024-2032) ($MN)
  • Table 33 Global Emotion AI Market Outlook, By Vocal Biomarker Analysis (2024-2032) ($MN)
  • Table 34 Global Emotion AI Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 35 Global Emotion AI Market Outlook, By Application (2024-2032) ($MN)
  • Table 36 Global Emotion AI Market Outlook, By Call Center Analytics (2024-2032) ($MN)
  • Table 37 Global Emotion AI Market Outlook, By Customer Feedback and Surveys (2024-2032) ($MN)
  • Table 38 Global Emotion AI Market Outlook, By Retail & E-commerce Personalization (2024-2032) ($MN)
  • Table 39 Global Emotion AI Market Outlook, By Mental Health & Well-being (2024-2032) ($MN)
  • Table 40 Global Emotion AI Market Outlook, By Patient Care & Telemedicine (2024-2032) ($MN)
  • Table 41 Global Emotion AI Market Outlook, By Driver Safety & Fatigue Detection (2024-2032) ($MN)
  • Table 42 Global Emotion AI Market Outlook, By In-cabin Experience Personalization (2024-2032) ($MN)
  • Table 43 Global Emotion AI Market Outlook, By Ad Campaign Performance Analysis (2024-2032) ($MN)
  • Table 44 Global Emotion AI Market Outlook, By Emotion-based Content Creation (2024-2032) ($MN)
  • Table 45 Global Emotion AI Market Outlook, By Virtual Assistants and Chatbots (2024-2032) ($MN)
  • Table 46 Global Emotion AI Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 47 Global Emotion AI Market Outlook, By End User (2024-2032) ($MN)
  • Table 48 Global Emotion AI Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 49 Global Emotion AI Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 50 Global Emotion AI Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 51 Global Emotion AI Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 52 Global Emotion AI Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 53 Global Emotion AI Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 54 Global Emotion AI Market Outlook, By Education (2024-2032) ($MN)
  • Table 55 Global Emotion AI 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.