2026 年至 2032 年情绪侦测与识别市场（按组件、工具、技术、应用、最终用户产业和地区划分）

情绪侦测与辨识市场评估（2026-2032）

人工智慧和机器学习技术的进步正在推动情绪检测和识别 (EDR) 市场的发展，提高情绪识别系统在医疗保健、零售和汽车等各个行业的准确性和应用。据 Verified Market Research 分析师称，情绪检测和识别市场规模预计将在 2024 年下降至 954.1 亿美元，预测期内达到 382.6 亿美元的估值。

对客製化使用者体验的需求不断增长以及情绪分析在互动娱乐、客户支援和心理健康监测中的应用正在推动情绪检测和识别市场的发展。这将有助于市场在 2026 年至 2032 年期间以 12.1% 的复合年增长率成长。

情绪检测与识别市场定义/概述

情绪检测和识别是一种使用多种模式（包括面部表情、语调和文字分析）来识别和理解人类情绪的技术。这部分使用强大的演算法和机器学习方法来分析来自照片、语音和文字的数据，使系统能够识别喜悦、悲伤、愤怒和惊讶等情绪。

此外，情绪检测和识别具有广泛的应用，包括医疗保健中的心理健康监测、客户服务中的用户体验改善、教育中的个人化学习以及在游戏和虚拟现实中创造更具吸引力的互动体验。

推动市场成长的关键因素有哪些？

对改善客户体验的日益关注正在加速情绪检测和识别技术的采用。根据 Gartner 的一项调查，到 2025 年，50% 的组织将使用人工智慧聊天机器人进行客户服务，而 2020 年这一比例还不到 10%。许多此类人工智慧系统将使用情绪检测来提供更具同理心和个人化的回应，从而推动情绪检测和识别市场的发展。

汽车领域越来越多地采用情绪检测技术来提高驾驶员的安全性和体验。根据欧洲道路安全委员会的研究，欧洲约30%的道路交通事故是由于驾驶注意力不集中和疲劳所造成的。这增加了对能够检测情绪和注意力水平的先进驾驶员监控设备的需求，从而推动了情绪检测和识别市场的成长。

此外，全球对心理健康的关注导致情绪检测技术在医疗保健应用中的使用增加。根据世界卫生组织 (WHO) 的数据，到 2021 年，忧郁症将影响全球约 2.8 亿人。精神健康问题的普遍性促使人们开发情绪检测工具以进行早期诊断和监测，这对市场成长做出了重大贡献。

资料安全和隐私问题将如何限制市场成长？

收集和分析情绪资料引发了严重的隐私问题。许多人担心自己的情绪被追踪和记录。欧洲的 GDPR 和加州的 CCPA 等严格的资料保护条例限制了公司收集、储存和使用情绪资料的方式，阻碍了市场成长和接受度。

情绪检测技术在有效识别不同人群的复杂人类情绪方面面临持续的障碍。误解的产生是由于文化差异、个人情感表达方式的差异以及人类情感的复杂性。这些准确性限制削弱了人们对该技术的信心，并阻碍了其在重要应用中的广泛使用。

此外，情绪检测技术的使用引发了有关操纵和滥用的道德问题。人们担心这项技术可能被用来监控和定位广告，或在人们不知情或未经同意的情况下影响人们的行为。这些道德问题可能会导致监控和监管的加强，从而阻碍某些行业的市场扩张。

目录

第一章 引言

• 市场定义
• 市场区隔
• 调查方法

第二章执行摘要

• 主要发现
• 市场概览
• 市集亮点

第三章市场概述

• 市场规模和成长潜力
• 市场趋势
• 市场驱动因素
• 市场限制
• 市场机会
• 波特五力分析

第四章 情绪侦测与辨识市场（依技术）

• 生物感测器技术
• 机器学习
• 模式识别
• 特征提取
• 自然语言处理

第五章 情绪侦测与辨识市场（依应用）

• 监控/监测
• 行销和广告
• 机器人技术与数位学习
• 紧急医疗护理
• 其他的

第六章 情绪侦测与辨识市场（依最终使用者）

• 银行、金融服务和保险（BFSI）
• 医疗保健和生命科学
• 资讯科技和电信
• 零售与电子商务
• 教育
• 媒体与娱乐
• 车
• 其他的

第七章 情绪侦测与辨识市场（依组件）

• 软体
• 服务

第八章区域分析

• 北美洲
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中东和非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯聯合大公国

第九章市场动态

• 市场驱动因素
• 市场限制
• 市场机会
• COVID-19 市场影响

第十章 竞争格局

• 主要企业
• 市场占有率分析

第十一章 公司简介

• Affectiva
• Amazon.com, Inc.
• Apple Inc.
• Cognitec
• Eyeris
• Google
• IBM Corporation
• iMotions
• Kairos AR, Inc.
• NEC Corporation
• Noldus Information Technology BV
• NVISO
• Realeyes
• Sentiance
• Sightcorp
• SkyBiometry
• Tobii
• Q3 Technologies Inc.
• Paravision Inc.

第十二章 市场展望市场展望与机会

• 新兴技术
• 未来市场趋势
• 投资机会

第十三章 附录

• 简称列表
• 来源和参考文献

Emotion Detection and Recognition Market Valuation - 2026-2032

The advancements in artificial intelligence and machine learning technologies are driving the emotion detection and recognition (EDR) market, which improves the accuracy and application of emotion identification systems in a variety of industries such as healthcare, retail, and automotive. According to the analyst from Verified Market Research, the emotion detection and recognition market is estimated to reach a valuation of USD 38.26 Billion over the forecast subjugating around USD 95.41 Billion valued in 2024.

The growing need for customized user experiences and the application of emotion analytics in interactive entertainment, customer support, and mental health monitoring are driving the emotion detection and recognition market. It enables the market to grow at a CAGR of 12.1% from 2026 to 2032.

Emotion Detection and Recognition Market: Definition/ Overview

Emotion detection and recognition is the technological technique of identifying and understanding human emotions using multiple modalities such as facial expressions, vocal tones, and textual analysis. This field uses powerful algorithms and machine learning approaches to analyze data from photos, audio, and text, allowing systems to recognize emotions like happiness, sadness, rage, and surprise.

Furthermore, emotion detection and recognition have a wide range of applications, including monitoring mental health in healthcare, improving user experience in customer service, personalized learning in education, and creating more engaging interactive experiences in gaming and virtual reality.

What are the Major Factors Driving the Growth of the Market?

The rising emphasis on improving the customer experience is accelerating the deployment of emotion detection and recognition technologies. According to Gartner research, by 2025, 50% of organizations will utilize AI-powered chatbots for customer service, up from less than 10% in 2020. Many of these AI systems use emotion detection to give more empathic and individualized answers, boosting the emotion detection and recognition market.

The automotive sector is progressively adopting emotion-detecting technology to improve driver safety and experience. According to research conducted by the European Transport Safety Council, driver attention and fatigue account for almost 30% of all traffic accidents in Europe. This has led to an increase in demand for advanced driver monitoring devices that can detect emotions and alertness levels, driving growth in the emotion detection and recognition market.

Furthermore, the global focus on mental health is increasing the use of emotion detection technologies in healthcare applications. According to the World Health Organization, depression will affect around 280 million people globally by 2021. The prevalence of mental health concerns is driving the development of emotion detection tools for early diagnosis and monitoring, which is considerably contributing to market growth.

How Does Data Security and Privacy Concerns Restrict the Growth of the Market?

The collection and analysis of emotional data raise serious privacy concerns. Many people are concerned with the thought of having their emotions tracked and recorded. Strict data protection regulations, such as GDPR in Europe and the CCPA in California, restrict how corporations can gather, keep, and use emotional data, thus impeding market growth and acceptance.

Emotion detection technology faces ongoing hurdles in effectively identifying complex human emotions across varied populations. Misinterpretations occur due to cultural variances, individual variability in emotional presentation, and the complicated nature of human emotions. These accuracy limitations undermine trust in the technology and prevent widespread adoption in essential applications.

Furthermore, the use of emotion-detecting technologies raises ethical problems around manipulation and abuse. There are concerns that the technology may be used for surveillance, targeted advertising, or to influence people's behavior without their knowledge or agreement. These ethical quandaries lead to increasing scrutiny and regulation, potentially impeding market expansion in particular industries.

Category-Wise Acumens

What Factors Contribute to the Dominance of the Emotion Detection & Recognition Software?

According to VMR analysis, the software segment is estimated to hold the largest market share during the forecast period. Emotion detection software is highly scalable, allowing organizations to quickly incorporate it into their existing systems and increase usage across numerous platforms. Its adaptability allows for customization in a wide range of applications, including customer service and healthcare. This versatility makes software solutions more appealing to a diverse range of businesses, resulting in widespread adoption and commercial supremacy.

Emotion detection software uses AI and machine learning algorithms to continuously enhance accuracy and performance through data analysis. This self-improvement nature ensures that software solutions keep up with the most recent breakthroughs in emotion identification technologies, ensuring their relevance and efficacy over time. This element makes a substantial contribution to the software segment's market dominance.

Furthermore, software for emotion detection and recognition is frequently less expensive to implement and maintain than hardware-based solutions. Cloud-based software solutions, in particular, eliminate the requirement for a large on-premises infrastructure. This cost-effectiveness makes software solutions more accessible to organizations of all sizes, resulting in increased adoption and market share.

What are the Key Drivers that Propel the Demand for Such Data for Marketing and Advertising?

The marketing and advertising segment is estimated to dominate the emotion detection and recognition market during the forecast period. Emotion detection technology enables marketers to measure real-time emotional reactions to commercials, allowing them to build more engaging and effective campaigns. This feature enables organizations to adapt their messaging to trigger specific emotions, resulting in increased brand memory and client loyalty. The possibility for greater ROI encourages widespread adoption in this area.

Marketers can tailor information and recommendations to specific consumers by evaluating their emotional responses. This level of customization boosts user experience, engagement, and conversion rates. The ability to produce emotionally engaging material at scale drives adoption in marketing and advertising applications.

Furthermore, emotion detection gives marketers vital information about consumer behavior and preferences. This data enables more educated decisions about campaign strategy, product development, and customer service enhancements. The ability to optimize marketing efforts across many channels using data promotes this segment's market domination.

Country/Region-wise Acumens

Will North America Maintain its Dominance in the Market?

According to VMR analyst, North America is estimated to dominate the emotion detection and recognition market during the forecast period. North America is the leader in AI and machine learning adoption, which is critical for emotion detection and identification systems. According to a National Science Foundation estimate, US federal funding for AI research and development surged by more than 40% between 2015 and 2020, reaching almost $1.9 billion in 2020. This investment is fueling innovation in emotion recognition technology.

The North American healthcare industry is increasingly using emotion detection for mental health assessments and patient care. According to the National Institute of Mental Health, an estimated 52.9 million adults in the United States suffered from a mental illness in 2020, accounting for 21% of all adults. This large population necessitates better emotion detection systems in healthcare settings.

Furthermore, the automotive sector in North America is using emotion detection technologies to improve driver safety. According to the National Highway Traffic Safety Administration (NHTSA), motor vehicle traffic crashes killed an estimated 38,824 people in the United States in 2020. This frightening trend is prompting automakers to develop advanced driver monitoring systems that include emotion detection to improve road safety.

What Influences the Steady Expansion of the Emotion Detection and Recognition Market in Asia Pacific?

The Asia Pacific region is estimated to exhibit the highest growth during the forecast period. The Asia Pacific region is experiencing an increase in the usage of AI and machine learning technologies, which are critical for emotion detection and identification systems. According to an IDC estimate, AI spending in the Asia-Pacific region (excluding Japan) is predicted to reach USD 32 Billion by 2025, with a compound annual growth rate (CAGR) of 30.8% between 2020 and 2025. Increased investment in AI technology is expected to fuel growth in the emotion detection and recognition market.

Furthermore, the extensive use of smartphones in the Asia-Pacific region creates an important platform for emotion detection and recognition technology. According to GSMA's Mobile Economy Asia Pacific 2022 report, the area is predicted to have 3.1 billion smartphone connections by 2025, accounting for 83% of the total connections. This large user base creates ample opportunities for emotion detection applications in mobile devices.

Competitive Landscape

The competitive landscape of the emotion detection and recognition market is distinguished by rapid technology breakthroughs and a wide range of applications across various sectors. Companies are boosting their investments in artificial intelligence and machine learning to improve the accuracy and efficiency of emotion recognition systems.

Some of the prominent players operating in the emotion detection and recognition market include:

Affectiva

com, Inc.

Apple, Inc.

Cognitec

Eyeris

Google

IBM Corporation

iMotions

Kairos AR, Inc.

NEC Corporation

Noldus Information Technology BV

NVISO

Realeyes

Sentiance

Sightcorp

SkyBiometry

Tobii

Q3 Technologies, Inc.

Paravision, Inc.

Emotion Detection And Recognition Market Latest Developments

In February 2022, NEC strengthened its strategic relationship with SAP to accelerate NEC's corporate transformation (CX) and co-create business opportunities. It will use the latest SAP technologies to accelerate CX, based on the results of the SAP reforms it has implemented solutions.

In February 2022, IBM purchased Neudesic, a renowned US cloud services firm focused mostly on the Microsoft Azure platform and offering expertise in multi-cloud. This acquisition expands IBM's offering of hybrid multi-cloud services and advances the company's hybrid cloud and AI strategy.

Emotion Detection and Recognition Market, By Category

• Component:
• Software
• Services
• Tools:
• Facial Recognition
• Speech and Voice Recognition
• Gesture and Posture Recognition
• Technology:
• Bio-sensors Technology
• Machine Learning
• Pattern Recognition
• Feature Extraction
• Natural Language Processing
• Application:
• Surveillance and Monitoring
• Marketing and Advertising
• Robotics and eLearning
• Medical Emergency
• Others
• End-User Industry:
• Banking, Financial Services and Insurance (BFSI)
• Healthcare and Life Sciences
• IT and Telecom
• Retail and E-commerce
• Education
• Media and Entertainment
• Automotive
• Others
• Region:
• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

TABLE OF CONTENTS

1.Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2.Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Emotion Detection And Recognition Market, By Technology

• Bio-sensors Technology
• Machine Learning
• Pattern Recognition
• Feature Extraction
• Natural Language Processing

5. Emotion Detection And Recognition Market, By Application

• Surveillance and Monitoring
• Marketing and Advertising
• Robotics and eLearning
• Medical Emergency
• Others

6.Emotion Detection And Recognition Market, By End-User

• Banking, Financial Services and Insurance (BFSI)
• Healthcare and Life Sciences
• IT and Telecom
• Retail and E-commerce
• Education
• Media and Entertainment
• Automotive
• Others

7. Emotion Detection And Recognition Market, By Component

• Software
• Services

8. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

9. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

10. Competitive Landscape

• Key Players
• Market Share Analysis

11. Company Profiles

• Affectiva
• Amazon.com, Inc.
• Apple Inc.
• Cognitec
• Eyeris
• Google
• IBM Corporation
• iMotions
• Kairos AR, Inc.
• NEC Corporation
• Noldus Information Technology BV
• NVISO
• Realeyes
• Sentiance
• Sightcorp
• SkyBiometry
• Tobii
• Q3 Technologies Inc.
• Paravision Inc.

12. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

13. Appendix

• List of Abbreviations
• Sources and References