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市场调查报告书
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1820354

情感计算市场规模、份额、趋势及预测（按技术、组件、最终用途和地区），2025 年至 2033 年

Affective Computing Market Size, Share, Trends and Forecast by Technology, Components, End Use, and Region, 2025-2033
出版日期: | 出版商: IMARC | 英文 146 Pages | 商品交期: 2-3个工作天内

价格

2024年，全球情感运算市场规模达879.8亿美元。展望未来， IMARC Group预测，到2033年，该市场规模将达到8,228.3亿美元，2025-2033年期间的复合年增长率为26.79%。北美市场占据主导地位，2024年市占率高达46.2%。情感运算有助于实现个人化，例如可根据使用者需求改变音乐、室温和灯光，人们对情感运算的认知度不断提高，加上穿戴式装置需求的不断增长，这些因素共同推动了情感运算市场份额的成长。

市场的成长源自于多种相互关联的趋势。医疗保健领域越来越多地采用情绪识别系统，这有助于监测心理健康、压力和患者参与。在汽车应用中，能够侦测困倦或分心的驾驶监控系统正成为标配。客户服务和教育等领域对更自然的人机互动的需求也起到了推动作用。配备可测量心率和体温等生理讯号的感测器的可穿戴设备正在扩大情绪技术的覆盖范围。人工智慧、机器学习和物联网的结合使得即时分析情绪状态成为可能，从而提高反应能力。企业正在投资情感运算，以提高用户参与、个人化服务并深入了解消费者行为，尤其是在零售和娱乐领域。这种日益增长的多功能性将继续塑造情感运算的市场前景。

电池供电的脸部辨识终端在情绪运算应用中日益受到青睐。其便携式设计支援在各种环境中灵活部署，同时保持情绪和识别功能。在需要高效、非接触式门禁控制和使用者互动分析且无需依赖固定电源的环境中，此类系统正变得至关重要。例如，2024年10月，海康威视印度公司推出了一系列全新的电池供电的MinMoe脸部辨识终端(FRT)。这款新颖的FRT技术目前有两种型号：DS-K1T320MFWX-B和DS-K1T320EFWX-B，以及DS-K1T321MFWX-B型号。

情感计算市场趋势：

情感计算在汽车等行业中的应用日益增多

根据世界卫生组织 (WHO) 估计，每年有 2,000 万至 5,000 万人在交通事故中受伤身亡。摩托车驾驶、行人和骑自行车的人是风险最高的道路使用者，占所有死亡人数的一半以上。因此，包括情绪运算在内的先进技术被广泛用于开发高级驾驶辅助系统 (ADAS)，以最大限度地减少道路事故。此外，为了回应和追踪乘客和驾驶员的行为和感受，两家最着名的技术供应商 Eyeris 和 Affectiva 在汽车上安装了摄影机。此外，还可以透过情绪技术监测驾驶员的困倦程度。因此，这些先进技术预计将在未来几年推动市场成长。例如，根据美国公路安全保险协会的数据，预计到 2025 年，美国的自动驾驶汽车将达到 350 万辆，到 2030 年将达到 450 万辆。此外，为了将 Affectiva 的汽车技术融入 SmartEye 的内部感测解决方案，该公司收购了 Affectiva。这些见解使汽车製造商能够改进安全性能，以满足欧洲新车安全评估协会 (Euro NCAP) 标准。根据情感运算市场预测，汽车产业的此类进步预计将为许多有效的运算解决方案提供者创造机会，从而推动情感运算市场的需求。生物辨识应用的引入，例如用于自动驾驶的驾驶员监控和用于驾驶员控制的语音和手势识别，也正在推动全球市场的发展。例如，Aptiv plc 与 Affectiva 合作，为车队和OEM客户商业化增强多模式内部感测解决方案，并改善未来车辆的移动体验。

情绪运算技术的广泛研发活动

根据情绪运算市场统计数据，研究人员正在进行众多项目，以开发先进的新型手势和语音辨识解决方案。这些项目包括引入能够服务各种终端用户应用的计算设备，包括医疗保健和汽车行业。例如，密西根大学计算机科学与工程系的研究人员将他们的一篇论文评选为《IEEE 情感计算学报》上发表的五篇最佳论文之一。研究人员提出了新的方法来扩展语音情绪表征的范围，从而提升跨资料集的辨识效能。此外，包括麻省理工学院在内的研究机构也开展了多个研究项目，包括「现实生活中的自动压力识别」和「对触觉讯号的情绪反应」等。麻省理工学院媒体实验室设有一个名为「情绪运算小组」的部门，主要研究发明个人技术和交流情感和认知状态的新方法，以提高对情绪状态的自我意识，预计这将在预测期内进一步增加对北美的投资。因此，许多加拿大企业正专注于推出新的手势和语音辨识解决方案。加拿大公司 GestSure Systems 开发了一款手势软体介面，让医生可以在无菌手术室以外的场所存取电脑上的病人记录。此外，该公司还提供了硬件，作为 USB 桥接器，以便使用 Kinect 与已安装的医院电脑交换 MRI 和 CT资料。

政府推动情感计算技术应用的政策

亚太地区的政府机构正在推出优惠政策，以推动语音、手势和脸部辨识软体的应用，这是新兴的情绪运算市场趋势之一。例如，印度的UIDAI计画和印尼的e-KTP计画等措施为这些国家采用情感运算提供了机会。为此，印度监管机构在首都新德里使用人脸辨识技术来识别被绑架或走失的儿童。此外，作为EMBOA计画的一部分，在波兰格但斯克理工大学举办了一场题为「情感运算和社交机器人在自闭症儿童復健中的应用」的研讨会。来自土耳其、德国、英国和波兰等四个计画合作伙伴国家的40多名来宾参加了此次研讨会。计画参与者学习了社交机器人、情绪检测以及自闭症儿童的技术辅助治疗等各种主题。

策略併购与合作

根据情感运算市场报告，全球主要公司正在透过建立策略伙伴关係和合作关係来扩大其影响力。例如，Nuance Communications 宣布与 SCIENTIA Puerto Rico, Inc. 建立合作伙伴关係，以扩大该岛医生和护士使用 Nuance Dragon Medical One 语音识别解决方案的管道，从而改善患者治疗效果和临床文檔，同时最大限度地减少导致临床医生倦怠的行政工作量。同时，根据情绪运算市场分析，临床级语音分析领域的知名公司 Aural Analytics, Inc. 宣布与数位生物标记开发公司 Koneksa 建立合作伙伴关係，利用 Aural Analytics 的 Speech Vitals 技术进一步增强其平台和研究能力。此外，致力于推动业务改进的知名对话智慧提供者 CallMiner 宣布与 Amazon Connect 和 Genesys Cloud CX 进行新的集成，使组织能够在现有或未来的联络中心即服务 (CCaaS) 部署中获得强大的即时分析功能，快速、无缝地存取。

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 二手资料
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：简介

第五章：全球情感计算市场

  • 市场概况
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章：市场区隔：依技术

  • 基于触摸
  • 非接触式

第七章：市场区隔：依组成部分

  • 硬体
    • 关键部分
      • 感应器
      • 相机
      • 储存设备和处理器
      • 其他的
  • 软体
    • 关键部分
      • 分析软体
      • 企业软体
      • 脸部辨识
      • 手势识别
      • 语音辨识

第 8 章：市场区隔：最终用途别

  • 汽车
  • 金融服务业协会
  • 政府
  • 卫生保健
  • IT和电信
  • 其他的

第九章：市场细分：依地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲

第 10 章：SWOT 分析

第 11 章：价值链分析

第 12 章：波特五力分析

第十三章：价格分析

第 14 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Affectiva Inc.
    • Cipia Vision Ltd.
    • Cognitec Systems GmbH
    • Elliptic Laboratories A/S
    • Google LLC (Alphabet Inc.)
    • Intel Corporation
    • International Business Machines Corporation
    • Kairos AR Inc.
    • Microsoft Corporation
    • Nuance Communications Inc.
Product Code: SR112025A3711

The global affective computing market size was valued at USD 87.98 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 822.83 Billion by 2033, exhibiting a CAGR of 26.79% during 2025-2033. North America dominated the market, holding a significant market share of 46.2% in 2024. The growing awareness among individuals towards affective computing, as it helps in personalization, such as changing music, room temperature, and lighting as per the requirement of the user, along with the escalating demand for wearable devices, is primarily contributing to the affective computing market share.

The market is growing due to several interconnected trends. Increasing adoption of emotion-recognition systems in healthcare helps monitor mental health, stress, and patient engagement. In automotive applications, driver monitoring systems that detect drowsiness or distraction are becoming standard. Demand for more natural human-machine interaction in sectors like customer service and education is also contributing. Wearable devices equipped with sensors that measure physiological signals such as heart rate and skin temperature are expanding the reach of affective tech. The combination of artificial intelligence, machine learning, and the Internet of Things enables real-time analysis of emotional states, enhancing responsiveness. Businesses are investing in affective computing to improve user engagement, personalize services, and gain insights into consumer behavior, particularly in retail and entertainment. This growing versatility continues to shape the affective computing market outlook.

Battery-operated facial recognition terminals are gaining traction in affective computing applications. Their portable design supports flexible deployment in varied environments while maintaining emotional and identity detection. These systems are becoming essential in settings requiring efficient, contactless access control and user interaction analysis without relying on fixed power sources. For instance, in October 2024, Hikvision India unveiled a new line of battery-operated MinMoe Facial Recognition Terminals (FRT). The novel FRT technology is currently available in two variations: the DS-K1T320MFWX-B and DS-K1T320EFWX-B, along with the DS-K1T321MFWX-B model.

Affective Computing Market Trends:

Rising Applications of Affective Computing in Industries, including Automotive

As per the World Health Organization (WHO), it is estimated that 20-50 Million individuals suffer from fatal injuries in traffic accidents each year. Motorcyclists, pedestrians, and cyclists are among the most at-risk road users, accounting for more than half of all fatalities. Consequently, advanced technologies, including affective computing, are extensively used to develop advanced driver-assistance systems (ADAS) to minimize road accidents. In addition to this, to react to and track the actions and feelings of passengers and drivers, Eyeris and Affectiva, two of the most prominent technology providers, installed cameras in automobiles. Additionally, driver drowsiness can be monitored via emotional technology. As a result, these advanced technologies are anticipated to augment the market growth in the coming years. For example, according to the Insurance Institute for Highway Safety, self-driving cars in the United States are projected to reach 3.5 Million by 2025 and 4.5 Million by 2030. Also, to incorporate Affectiva's automotive technology into SmartEye's interior sensing solution, the company acquired Affectiva. These insights enable the automakers to improve safety features to meet Euro NCAP standards. As per the affective computing market forecast, such advancements in the automotive industry are expected to create opportunities for numerous effective computing solution providers, thereby driving the affective computing market demand. The introduction of biometric applications, such as driver monitoring for autonomous driving and voice and gesture recognition for driver control, is also fueling the global market. For example, Aptiv plc partnered with Affectiva to commercialize enhanced multimodal interior sensing solutions for fleet and OEM customers and improve the mobility experience for future vehicles.

Extensive Research and Development (R&D) Activities for Technologies Utilized in Affective Computing

According to the affective computing market statistics, researchers are conducting numerous projects to develop advanced new gesture and speech recognition solutions. These projects comprise introducing computing devices capable of serving various end-user applications, including in the healthcare and automotive industries. For example, researchers from Michigan University's CSE department identified one of their papers as one of the top five to appear in IEEE Transactions on affective computing. The researchers suggested new approaches for expanding the scope of representations of speech for emotion to boost recognition performance across datasets. Furthermore, research organizations, including MIT, conducted several research projects, including Automatic Stress Recognition in Real-Life Settings and Affective Response to Haptic Signals, among others. The university has a department in the MIT media lab called the Affective Computing Group, which majorly researches new ways of inventing personal technologies and communicating affective and cognitive states for improving self-awareness of affective states, which is further anticipated to increase the investments in the North America over the forecasted period. As such, many Canadian businesses are concentrating on introducing new gesture and speech recognition solutions. The Canadian company GestSure Systems developed a gesture software interface that allowed doctors to access patient records on computers in locations other than sterile operation rooms. Also, the company provided hardware that serves as a USB bridge to interchange MRI and CT data with an already installed hospital PC using Kinect.

Government Policies to Promote the Adoption of Affective Computing Technologies

Government bodies in the Asia Pacific region are launching favorable policies to promote the adoption of speech, gestures, and facial recognition software, which is one of the emerging affective computing market trends. For example, initiatives, such as the UIDAI project in India and the e-KTP project in Indonesia, provided opportunities for the adoption of affective computing in the countries. In line with this, regulatory authorities in India used face recognition technology in the capital city of New Delhi to detect children who had been kidnapped or lost. Furthermore, a workshop titled "Affective Computing and Social Robots in the Rehabilitation of Children with Autism" was organized as a part of the EMBOA project at the Gdansk University of Technology in Poland. Countries, including Turkey, Germany, the UK, and Poland, welcomed more than 40 visitors from the four project partners' nations. The project's participants learned about various subjects, such as social robots, emotion detection, and technology-assisted treatment for autistic children.

Strategic Mergers and Acquisitions and Collaborations

According to the affective computing market report, key companies across the globe are expanding their presence by entering into strategic partnerships and collaborations. For instance, Nuance Communications announced a partnership with SCIENTIA Puerto Rico, Inc. to expand access to Nuance's Dragon Medical One speech recognition solution for the island's physicians and nurses to improve patient outcomes and clinical documentation while minimizing administrative workloads that contribute to clinician burnout. In line with this, according to the affective computing market analysis, Aural Analytics, Inc., a prominent player in clinical-grade speech analytics, announced a partnership with Koneksa, a player in digital biomarker development, to further strengthen its platform and research capabilities using Aural Analytics' technology, Speech Vitals. Moreover, CallMiner, a prominent provider of conversation intelligence to drive business improvement, announced new integrations with Amazon Connect and Genesys Cloud CX, which enabled organizations to gain quick, seamless access to powerful real-time analytics capabilities within existing or future Contact Center as a Service (CCaaS) deployments.

Affective Computing Industry Segmentation:

Analysis by Technology:

  • Touch-based
  • Touchless

Touch-based stood as the largest technology in 2024, holding around 53.2% of the market because of its ability to detect and interpret physical interactions as emotional cues. Smartphones, tablets, and touch-enabled kiosks are now capable of capturing pressure, swipes, taps, and gestures, which can be used to infer a user's mood or level of engagement. This data helps systems personalize content, adapt responses, and even trigger emotional feedback, making applications more responsive. Industries like gaming, retail, automotive, and mental health services are investing in these technologies to improve user experience and gather behavioral insights. Touch-based inputs offer a natural, non-intrusive way to gauge user emotion without needing cameras or voice analysis, making them valuable in privacy-sensitive environments. As devices become more advanced in sensing subtle tactile patterns, this segment continues to expand within the broader affective computing landscape.

Analysis by Components:

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

Hardware led the market with around 58.6% of market share in 2024 since it provides the physical foundation for emotion-sensing capabilities. Devices like wearable sensors, facial recognition cameras, EEG headsets, and biometric scanners are essential for detecting signals such as heart rate, skin conductance, facial expressions, and brain activity. These inputs enable systems to analyze and respond to emotional states in real time. Increasing demand for emotionally intelligent machines in healthcare, automotive safety systems, and consumer electronics has accelerated the development and adoption of such hardware. Wearables that track stress or mood are being widely used for mental health monitoring, while driver monitoring systems use cameras and sensors to detect fatigue or distraction. As hardware becomes more compact, accurate, and affordable, it continues to play a central role in enabling affective applications.

Analysis by End Use:

  • Automotive
  • BFSI
  • Government
  • Healthcare
  • IT and Telecom
  • Others

Healthcare led the market with around 19.7% of market share in 2024 due to its growing focus on mental health, patient monitoring, and personalized care. Affective computing technologies are being used to detect emotional states, stress levels, and cognitive conditions through facial expression analysis, speech patterns, and physiological signals. This helps clinicians assess patients more accurately, especially in areas like depression, anxiety, autism, and Alzheimer's. Wearable devices and AI-powered tools can monitor mood swings, sleep quality, and vital signs, allowing for early intervention and continuous care outside clinical settings. Hospitals and care providers are adopting these tools to improve outcomes, reduce readmissions, and support remote care. As emotional and behavioral data become central to holistic treatment approaches, the healthcare sector continues to push the demand for affective computing solutions.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

In 2024, North America accounted for the largest market share of 46.2% due to a combination of technological leadership, strong research infrastructure, and widespread industry application. The region is home to many key players in artificial intelligence and human-computer interaction, which accelerates innovation and commercialization. High demand for emotionally aware systems in sectors like healthcare, automotive, education, and marketing also contributes to affective computing market growth. In healthcare, affective computing helps in mental health assessment and patient monitoring, while in the automotive sector, it enhances driver safety through emotion detection. Consumer electronics and wearable tech companies are integrating emotion-sensing features to improve user experience. Government support, academic partnerships, and venture capital funding further boost development. The presence of advanced infrastructure and a tech-savvy population makes the U.S. and Canada early adopters, reinforcing North America's position as a market leader.

Key Regional Takeaways:

United States Affective Computing Market Analysis

In 2024, the United States accounted for 87.10% of the market share in North America. The US affective computing market is primarily driven by technological advancements in artificial intelligence (AI), machine learning (ML), and sensor technologies. This has led to more personalized and intuitive user experiences across various sectors, including healthcare, automotive, and retail. The increasing adoption of Internet of Things (IoT) devices and smart wearables is further fueling this growth by providing continuous data streams that enable real-time emotion detection and analysis. According to a report published by the IMARC Group, the smart wearable technology market in the United States is forecasted to grow at a CAGR of 16.25% during 2025-2033. The increasing demand for personalized experiences across various sectors, including healthcare, retail, and automotive, is also facilitating industry expansion. Other than this, the presence of major technology companies and research institutions in the United States is continually fostering innovation and development in affective computing, supporting market growth.

Asia Pacific Affective Computing Market Analysis

The Asia Pacific affective computing market is expanding due to several key drivers. Countries such as China, Japan, and South Korea are at the forefront, leveraging their advanced technological infrastructure and substantial investments in artificial intelligence (AI) and machine learning (ML) to propel growth. The region's burgeoning digital economy and increasing consumer demand for emotionally intelligent systems are further fueling this trend. For instance, the digital economy in India accounted for 11.74% of the GDP of the country in 2022-23, equating to USD 402 Billion, as per the Press Information Bureau (PIB). Additionally, the proliferation of Internet of Things (IoT) technologies across the region is also enabling real-time emotion detection, further fueling market growth. For instance, the Internet of Things (IoT) market in India reached USD 1.4 Billion in 2024 and is projected to grow at a CAGR of 10.2% from 2025-2033, as per industry reports. Governments in the region are also playing a pivotal role by launching initiatives to support AI development, which in turn promotes the adoption of affective computing technologies.

Europe Affective Computing Market Analysis

The growth of the Europe affective computing market is largely fueled by the region's robust technological infrastructure, digital transformation initiatives, and high adoption rates of digital and smart technologies, which are facilitating the rapid deployment of affective computing solutions. Countries such as Germany, the United Kingdom, and France are increasingly integrating affective computing technologies into sectors such as healthcare, automotive, and retail, aiming to enhance user experiences and operational efficiencies. Additionally, the European Union's regulatory frameworks, such as the Artificial Intelligence Act, provide guidelines that support the ethical deployment of affective computing technologies, fostering innovation while ensuring data protection and privacy. The region's growing focus on digital transformation across various businesses and industries is further propelling the adoption of affective computing, as these technologies contribute to creating responsive and personalized environments. For instance, the European Union established two main goals for the digital transformation of various businesses by 2030. According to this directive, 90% of SMEs are required to reach a basic level of digital intensity by 2030. Moreover, 75% of companies in the European Union will be required to utilize various advanced technologies such as artificial intelligence (AI) and cloud computing solutions. Other than this, the presence of leading research institutions and a supportive startup ecosystem in Europe is encouraging continuous innovation and development in affective computing.

Latin America Affective Computing Market Analysis

The Latin American affective computing market is experiencing robust growth, driven by countries such as Brazil, Mexico, and Argentina, which are increasingly investing in artificial intelligence (AI) research and development (R&D). This investment is fostering innovation in sectors such as healthcare, education, and gaming, enhancing user experiences and driving innovation. The region's improving digital infrastructure, including increased internet penetration and mobile device usage, is also facilitating the adoption of emotion-aware technologies. For instance, 72.5 Million households in Brazil had access to the Internet in 2023, underscoring a robust internet penetration rate of 92.5%, as per the Agencia IBGE Noticias. Besides this, the expansion of AI-focused startups and research institutions in countries such as Argentina, Colombia, and Uruguay is further contributing to the market's development

Middle East and Africa Affective Computing Market Analysis

The Middle East and Africa (MEA) affective computing market is significantly influenced by increasing investment in artificial intelligence (AI) and machine learning (ML) technologies to enhance customer experiences and drive digital transformation, creating a demand for emotion-aware systems in sectors such as healthcare, education, and entertainment. The adoption of smart city initiatives in the region is also contributing to the growth of affective computing technologies, as these projects aim to integrate advanced technologies to improve urban living. For instance, the smart cities market in the Middle East reached USD 62,965.8 Million in 2024 and is forecasted to grow at a CAGR of 21.89% during 2025-2033, according to the IMARC Group. Besides this, the increasing penetration of smartphones and digital devices is also facilitating the deployment of affective computing solutions across various industries, enabling real-time emotion detection and personalized user interactions.

Competitive Landscape:

The affective computing market is seeing strong momentum through new product introductions, strategic partnerships, and collaborative ventures. Companies are integrating emotion recognition and sentiment analysis into user interfaces, often combining AI with facial or voice recognition. Collaborations between tech firms and academic institutions are helping advance core technologies. Several startups have recently launched emotion-aware applications, especially in healthcare and retail. Larger players are focusing on enhancing user engagement through emotionally responsive systems. Government-funded research and institutional grants are also supporting innovation in this space. Among all activities, product launches and partnerships remain the most common, as firms seek faster go-to-market routes and broader ecosystem support. The overall trend points toward embedding emotional intelligence in mainstream tech.

The report provides a comprehensive analysis of the competitive landscape in the affective computing market with detailed profiles of all major companies, including:

  • Affectiva Inc.
  • Cipia Vision Ltd.
  • Cognitec Systems GmbH
  • Elliptic Laboratories A/S
  • Google LLC (Alphabet Inc.)
  • Intel Corporation
  • International Business Machines Corporation
  • Kairos AR Inc
  • Microsoft Corporation
  • Nuance Communications Inc.

Key Questions Answered in This Report

  • 1.How big is the affective computing market?
  • 2.What is the future outlook of affective computing market?
  • 3.What are the key factors driving the affective computing market?
  • 4.Which region accounts for the largest affective computing market share?
  • 5.Which are the leading companies in the global affective computing market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Affective Computing Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Technology

  • 6.1 Touch-based
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Touchless
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Components

  • 7.1 Hardware
    • 7.1.1 Market Trends
    • 7.1.2 Key Segments
      • 7.1.2.1 Sensors
      • 7.1.2.2 Cameras
      • 7.1.2.3 Storage Devices and Processors
      • 7.1.2.4 Others
    • 7.1.3 Market Forecast
  • 7.2 Software
    • 7.2.1 Market Trends
    • 7.2.2 Key Segments
      • 7.2.2.1 Analytics Software
      • 7.2.2.2 Enterprise Software
      • 7.2.2.3 Facial Recognition
      • 7.2.2.4 Gesture Recognition
      • 7.2.2.5 Speech Recognition
    • 7.2.3 Market Forecast

8 Market Breakup by End Use

  • 8.1 Automotive
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 BFSI
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Government
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Healthcare
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 IT and Telecom
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Others
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Affectiva Inc.
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
    • 14.3.2 Cipia Vision Ltd.
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
    • 14.3.3 Cognitec Systems GmbH
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
    • 14.3.4 Elliptic Laboratories A/S
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 Google LLC (Alphabet Inc.)
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 SWOT Analysis
    • 14.3.6 Intel Corporation
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
      • 14.3.6.3 Financials
      • 14.3.6.4 SWOT Analysis
    • 14.3.7 International Business Machines Corporation
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 Kairos AR Inc.
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
    • 14.3.9 Microsoft Corporation
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 Nuance Communications Inc.
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 Financials
      • 14.3.10.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Affective Computing Market: Major Drivers and Challenges
  • Figure 2: Global: Affective Computing Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: Affective Computing Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Affective Computing Market: Breakup by Technology (in %), 2024
  • Figure 5: Global: Affective Computing Market: Breakup by Components (in %), 2024
  • Figure 6: Global: Affective Computing Market: Breakup by End Use (in %), 2024
  • Figure 7: Global: Affective Computing Market: Breakup by Region (in %), 2024
  • Figure 8: Global: Affective Computing (Touch-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 9: Global: Affective Computing (Touch-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 10: Global: Affective Computing (Touchless) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 11: Global: Affective Computing (Touchless) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 12: Global: Affective Computing (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 13: Global: Affective Computing (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 14: Global: Affective Computing (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 15: Global: Affective Computing (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 16: Global: Affective Computing (Automotive) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 17: Global: Affective Computing (Automotive) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 18: Global: Affective Computing (BFSI) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 19: Global: Affective Computing (BFSI) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 20: Global: Affective Computing (Government) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 21: Global: Affective Computing (Government) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 22: Global: Affective Computing (Healthcare) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 23: Global: Affective Computing (Healthcare) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 24: Global: Affective Computing (IT and Telecom) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 25: Global: Affective Computing (IT and Telecom) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 26: Global: Affective Computing (Other End Uses) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 27: Global: Affective Computing (Other End Uses) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 28: North America: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 29: North America: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 30: United States: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 31: United States: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 32: Canada: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 33: Canada: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 34: Asia-Pacific: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 35: Asia-Pacific: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 36: China: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 37: China: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 38: Japan: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 39: Japan: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 40: India: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 41: India: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 42: South Korea: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 43: South Korea: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 44: Australia: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 45: Australia: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 46: Indonesia: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 47: Indonesia: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 48: Others: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 49: Others: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 50: Europe: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 51: Europe: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 52: Germany: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 53: Germany: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 54: France: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 55: France: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 56: United Kingdom: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 57: United Kingdom: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 58: Italy: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 59: Italy: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 60: Spain: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 61: Spain: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 62: Russia: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 63: Russia: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 64: Others: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 65: Others: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 66: Latin America: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 67: Latin America: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 68: Brazil: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 69: Brazil: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 70: Mexico: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 71: Mexico: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 72: Others: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 73: Others: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 74: Middle East and Africa: Affective Computing Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 75: Middle East and Africa: Affective Computing Market: Breakup by Country (in %), 2024
  • Figure 76: Middle East and Africa: Affective Computing Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: Global: Affective Computing Industry: SWOT Analysis
  • Figure 78: Global: Affective Computing Industry: Value Chain Analysis
  • Figure 79: Global: Affective Computing Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Affective Computing Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Affective Computing Market Forecast: Breakup by Technology (in Million USD), 2025-2033
  • Table 3: Global: Affective Computing Market Forecast: Breakup by Components (in Million USD), 2025-2033
  • Table 4: Global: Affective Computing Market Forecast: Breakup by End Use (in Million USD), 2025-2033
  • Table 5: Global: Affective Computing Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 6: Global: Affective Computing Market: Competitive Structure
  • Table 7: Global: Affective Computing Market: Key Players