情感运算市场规模（按技术、组件、最终用途行业、区域范围和预测）

情感运算市场规模及预测

2024 年情感运算市场规模价值 937.1 亿美元，预计到 2032 年将达到 9,223.9 亿美元，在 2026-2032 年预测期内的复合年增长率为 36.50%。

情感运算是一项旨在使机器能够感知、解释和模仿人类情感的技术领域。这涉及结合人工智慧 (AI)、机器学习和一系列感测技术，以开发能够从面部表情、语调和生理讯号中识别情绪指标的系统。

情感运算可应用于各个行业，包括医疗保健（用于监测心理健康和协助患者护理）、汽车（用于改善驾驶员安全性和体验）、客户服务（用于实现情感感知互动）以及教育（用于个人化学习体验）。

此外，它正在迅速应用于娱乐和游戏领域，以创造更具沉浸感和活力的体验。

全球情感运算市场动态

影响情感计算市场的关键市场动态包括：

关键市场驱动因素

医疗保健领域对情绪识别系统的需求不断增加：情绪运算市场受到对心理健康支持和情绪健康解决方案日益增长的需求的推动。根据世界卫生组织 (WHO) 的数据，忧郁症影响全球约 2.8 亿人，焦虑症影响全球约 3.01 亿人。在心理健康应用中使用情绪运算可以帮助早期发现和管理这些疾病，从而推动市场成长。

客户服务中对情感识别的需求不断增加：对更好的客户体验的需求正在推动情感计算在客户服务应用中的使用。 Gartner 预测，到 2026 年，75% 的客户服务电话将根据其当前情绪状态获得客製化的回应。人们对情绪智商连结的期望不断提高，推动着情感计算市场的成长。

人工智慧和机器学习技术的日益普及：情感运算市场主要受到人工智慧和机器学习技术的日益普及的推动。根据 Verified Market Research 的调查，全球人工智慧市场规模预计到 2023 年将达到 2,295.2 亿美元，2023 年至 2030 年的复合年增长率为 36.4%。预计人工智慧技术的兴起将直接促进情感运算市场的成长。

主要问题

高昂的开发和实施成本：高昂的开发和实施成本是情感计算市场发展的障碍。开发先进演算法、收集数据和进行研发的成本是巨大的。这些成本阻碍了中小企业进入市场，减缓了整体市场的扩张。

隐私和资料安全：隐私和资料安全问题是情感计算市场的主要限制。由于它依赖于收集和分析情绪数据，使用者对采用情绪计算系统持谨慎态度，因为他们担心自己的个人资讯被滥用或未授权存取。管理资料隐私的法律规范也在扩大，为产业内的公司带来了额外的合规挑战，这可能会阻碍市场成长。

主要趋势

与物联网设备的整合度不断提高：情感运算市场受益于物联网设备的日益普及，这些设备可在智慧家庭自动化、语音控制工作站和导航系统中实现手势控制。由于情感运算能够实现更自然、更直观的人机互动，与车载娱乐系统的整合可能会在未来推动市场成长。

人工智慧和机器学习的进步：人工智慧 (AI) 和机器学习 (ML) 演算法的不断改进将提高情绪运算系统的准确性和可靠性。改进的脸部辨识、语音分析和情绪侦测能力可以更准确地理解人类的情绪。随着人工智慧和机器学习的进步，情感运算可能会变得更加复杂和广泛。

个人化体验的需求不断增加：各行各业都对人与科技之间的个人化、情感智慧互动有着很高的需求。情感运算能够根据个人偏好和情绪状态创造产品和服务。这一趋势在医疗保健、教育、娱乐和客户服务等行业尤为明显，情感运算可以提高消费者的参与和愉悦感。

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

第四章情感运算市场（依技术）

• 接触基地
• 非接触式

第五章情感运算市场（按组件）

• 硬体
• 相机
• 感应器
• 储存设备和处理器
• 其他的
• 软体
• 分析软体
• 企业软体
• 脸部辨识
• 手势姿态辨识
• 语音辨识

第六章情感运算市场（依最终使用者垂直划分）

• 车
• 银行、金融服务和保险（BFSI）
• 政府
• 卫生保健
• IT/电信
• 媒体与娱乐
• 零售与电子商务
• 其他的

第七章区域分析

• 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

第八章市场动态

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

第九章 竞争态势

• 主要企业
• 市场占有率分析

第十章 公司简介

• Affectiva
• Beyond Verbal
• Emotient
• Galvanic
• iMotions
• OpenFace
• OpenAI
• Parrot Analytics
• Realeyes
• Sensory
• Synapse

第十一章 市场展望与机会

• 新兴技术
• 未来市场趋势
• 投资机会

第十二章 附录

• 简称列表
• 来源和参考文献

Affective Computing Market Size and Forecast

Affective Computing Market size was valued at USD 93.71 Billion in 2024 and is projected to reach USD 922.39 Billion by 2032, growing at a CAGR of 36.50% from 2026 to 2032.

Affective computing is a field of technology that aims to help machines perceive, interpret, and imitate human emotions. This entails combining artificial intelligence (AI), machine learning, and numerous sensory technologies to develop systems that can recognize emotional indicators from facial expressions, voice tones, and physiological signals.

Affective computing has applications in a variety of industries, including healthcare, where it aids in mental health monitoring and patient care; automotive, where it improves driver safety and experience; customer service, where it enables emotion-aware interactions; and education, where it personalizes learning experiences.

Furthermore, it is rapidly being used in entertainment and gaming to create more immersive and dynamic experiences.

Global Affective Computing Market Dynamics

The key market dynamics that are shaping the affective computing market include:

Key Market Drivers

Increasing Demand for Emotion-aware Systems in Healthcare: The affective computing market is driven by an increasing need for mental health support and emotional well-being solutions. According to the World Health Organization (WHO), depression affects roughly 280 million individuals worldwide, while anxiety disorders impact approximately 301 million people. The use of affective computing in mental health applications might aid in the early detection and management of these illnesses, hence driving market growth.

Rising Demand for Emotion Recognition in Customer Service: The demand for better customer experiences is driving the use of affective computing in customer service applications. According to Gartner, by 2026, 75% of customers who call customer service anticipate receiving a tailored engagement based on their present emotional state. The growing expectation of emotionally intelligent connections is driving growth in the affective computing market.

Increasing Adoption of AI and Machine Learning Technologies: The affective computing market is being driven primarily by the rising deployment of AI and machine learning technologies. According to Verified Market Research, the global artificial intelligence market was worth USD 229.52 billion in 2023 and is expected to increase at a CAGR of 36.4% between 2023 and 2030. This increase in AI technologies is predicted to directly contribute to the growth of the affective computing market.

Key Challenges:

High Development and Implementation Costs: High development and implementation expenses present a hurdle to the affective computing market. The costs associated with developing advanced algorithms, collecting data, and undertaking research & development are significant. These costs dissuade smaller enterprises from entering the market and slow down the overall expansion of the market.

Privacy and Data Security: Privacy and data security concerns are a big limitation on the affective computing market. Users are aware of embracing affective computing systems because they rely on the collecting and analysis of sensitive emotional data, raising concerns about misuse or illegal access to their personal information. Regulatory frameworks governing data privacy are also expanding, posing extra compliance problems for businesses in this industry and potentially impeding market growth.

Key Trends:

Growing Integration with IoT Devices: The affective computing market is benefiting from the growing popularity of IoT devices that enable gesture control in smart home automation, voice-controlled workstations, and navigation systems. The integration of in-car entertainment systems is likely to boost market growth in the future years, as affective computing allows for more natural and intuitive human-machine interactions.

Advancements in AI and Machine Learning: Continuous improvements in artificial intelligence (AI) and machine learning (ML) algorithms improve the accuracy and dependability of affective computing systems. Improved facial recognition, speech analysis, and sentiment detection capabilities allow for a more accurate understanding of human emotions. As AI and machine learning advance, affective computing will become more complex and extensively used.

Rising Demand for Personalized Experiences: Personalized and emotionally intelligent interactions between humans and technology are in high demand across a wide range of businesses. Affective computing enables the creation of products and services based on individual preferences and emotional states. This trend is especially apparent in industries like healthcare, education, entertainment, and customer service, where affective computing improves consumer engagement and pleasure.

Global Affective Computing Market Regional Analysis

Here is a more detailed regional analysis of the affective computing market:

North America:

According to Verified Market Research, North America is estimated to dominate in affective computing market over the forecast period. North America is the leader in technology innovation and affective computing research. According to the National Science Foundation's 2023 report, the United States alone spent more than $667 billion on research and development across all sectors in 2021. This significant investment in R&D, combined with the presence of large technology businesses and research institutions, is propelling the region's affective computing market forward.

The healthcare industry in North America is quickly integrating AI and affective computing technology. According to the American Hospital Association, 85% of healthcare executives predict that artificial intelligence will significantly enhance patient care by 2026. Also, the United States Food and Drug Administration (FDA) has approved over 100 AI-based medical solutions as of 2023, many of which integrate characteristics of affective computing for patient monitoring and diagnosis.

Furthermore, North American retailers are increasingly using emotion AI to improve their consumer experiences. According to a National Retail Federation Survey, 79% of US merchants intend to invest in AI and machine learning technology by 2025, with emotion identification a top priority. Amazon revealed that its personalized recommendation system, which combines features of affective computing, accounts for 35% of its total sales, demonstrating the importance of these technologies in the retail sector.

Asia Pacific:

The Asia Pacific region is estimated to exhibit the highest growth within the affective computing market during the forecast period. The increasing recognition of mental health issues in the Asia Pacific is boosting the demand for affective computing solutions. According to the World Health Organization, by 2021, around 20% of adults in the Western Pacific Region will have a mental health issue. The growing understanding of mental health challenges is driving the development of emotional AI technologies for early identification and management of mental health issues, resulting in market growth.

Furthermore, the Asia Pacific region is experiencing a spike in AI usage, which is driving growth in the affective computing market. According to the International Data Corporation (IDC), investment in AI systems 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. This increasing acceptance of AI technology is driving the growth of affective computing applications in a variety of industries throughout the region.

Europe:

Europe region is estimated to exhibit substantial growth during the forecast period. Europe has made significant investments in AI and robotics research, which directly affects the affective computing market. According to the European Commission, the EU plans to invest €20 billion per year in artificial intelligence over the next decade. This large investment is likely to increase research and development in affective computing technologies, resulting in market growth for the region.

The European automobile sector is increasingly using emotion AI to improve driver safety and experience. According to European Automobile Manufacturers Association (ACEA) research, by 2023, approximately 10% of new cars sold in the EU would have advanced driver monitoring systems, many of which contain emotion recognition technology. This trend is projected to accelerate, boosting the affective computing market in Europe.

Furthermore, the mental health crisis in Europe is driving the use of affective computing technology to provide mental health support. According to the World Health Organization's European Regional Office, around 84 million people in the European Region had mental health issues in 2021. This high prevalence is driving the development and implementation of emotion-aware digital health solutions, which is considerably contributing to the growth of the affective computing market in Europe.

Global Affective Computing Market: Segmentation Analysis

The Affective Computing Market is segmented based on Technology, Component, End-User Industry, and Geography.

Affective Computing Market, By Technology

• Touch-based
• Touchless

Based on Technology, the market is segmented into Touch-based and Touchless. The touch-based segment is estimated to dominate the affective computing market. Touch-based technologies are critical in the deployment of affective computing solutions since they often involve hardware components such as sensors, cameras, and controllers to detect facial emotions and physical gestures. The touch-based segment is projected to continue to grow significantly as the market advances.

Affective Computing Market, By Component

• Hardware
• Cameras
• Sensors
• Storage Devices & Processors
• Others
• Software
• Analytics Software
• Enterprise Software
• Facial Recognition
• Gesture Recognition
• Speech Recognition

Based on Component, the market is divided into Hardware and Software. The hardware segment, particularly the camera is estimated to dominate the market over the forecast period. This dominance is being driven by an increase in demand for advanced video surveillance systems, as well as the integration of cameras into a variety of applications such as smart devices and security systems. Cameras play an important part in affective computing because they enable real-time emotion recognition and analysis, which improves user interaction and engagement in a variety of industries, including healthcare and retail.

Affective Computing Market, By End-User Industry

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

Based on the End-User Industry, the affective computing market is divided into Automotive, BFSI, Government, Healthcare, IT& Telecom, Media & Entertainment, Retail & E-commerce, and Others. The healthcare segment is estimated to dominate the market over the forecast period due to the rising use of affective computing technologies in mental health applications, patient monitoring, and treatments. The ability to evaluate emotional states and responses enables healthcare providers to give more individualized care, resulting in better patient outcomes. Furthermore, the growing need for telehealth solutions and remote patient monitoring accelerates the adoption of affective computing in the healthcare industry.

Affective Computing Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World

Based on Geography, the Affective Computing Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America is expected to dominate the affective computing market during the forecasted period owing to its superior technological infrastructure and high concentration of important players in the sector. The region benefits from strong R&D investments, particularly in artificial intelligence and machine learning, both of which are critical for affective computing applications. Furthermore, rising demand for emotion detection technology in a variety of industries, including healthcare and automotive, strengthens North America's market leadership.

Key Players

• The "Affective Computing Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Affectiva, Beyond Verbal, Emotient, Galvanic, iMotions, OpenFace, OpenAI, Parrot Analytics, Realeyes, Sensory, and Synapse.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Affective Computing Market Recent Developments
• In February 2021, IBM Corporation partnered with Shree Cement Limited to host its database and key software products on IBM POWER9-based Power Systems running Red Hat and AIX. Shree Cement uses Oracle Enterprise Command Center on Red Hat Enterprise Linux to automate supply chain processes. This change will enhance the organization's operational decisions, procedures, supply chain efficiency, and cost and revenue management.

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. Affective Computing Market, By Technology

• Touch-based
• Touchless

5. Affective Computing Market, By Component

• Hardware
• Cameras
• Sensors
• Storage Devices & Processors
• Others
• Software
• Analytics Software
• Enterprise Software
• Facial Recognition
• Gesture Recognition
• Speech Recognition

6. Affective Computing Market, By End-user Industry

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

7. 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

8. Market Dynamics

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

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• Affectiva
• Beyond Verbal
• Emotient
• Galvanic
• iMotions
• OpenFace
• OpenAI
• Parrot Analytics
• Realeyes
• Sensory
• Synapse

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References