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市场调查报告书
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2024-2032 年按技术（触控式、非触控式）、组件（硬体、软体）、最终用途（汽车、BFSI、政府、医疗保健、IT 和电信等）和地区分類的情感计算市场报告

Affective Computing Market Report by Technology (Touch-based, Touchless), Components (Hardware, Software), End Use (Automotive, BFSI, Government, Healthcare, IT and Telecom, and Others), and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 142 Pages | 商品交期: 2-3个工作天内

价格

IMARC Group年全球情绪运算市场规模达686亿美元。人们对情感运算的认识不断增强，因为它有助于个人化，例如根据用户的要求改变音乐、室温和照明，再加上对穿戴式装置的需求不断增加，这主要促进了市场的成长。

全球情感运算市场分析：

主要市场驱动因素：情绪运算市场的成长主要受到机器学习和人工智慧技术持续研发活动的推动，以改善情绪辨识演算法，从而更准确地分析语音註释、生理讯号和脸部辨识。此外，各行业的众多企业都在强调提供个人化的消费者体验，这对情感运算市场份额产生了正面影响。

主要市场趋势：一些重要的情绪运算市场趋势包括情绪运算在医疗保健产业中的应用不断增加，特别是在心理健康监测方面。除此之外，对更直觉、更自然的人机互动的需求不断增长，也推动了情感运算设备的普及，以回应使用者的情绪状态。此外，全球主要参与者越来越倾向于开发能够理解人类情感的人工智慧系统和机器人，预计将在预测期内提振情感运算市场。

竞争格局：全球情感运算产业的一些主要市场参与者包括 Affectiva Inc.、Cipia Vision Ltd.、Cognitec Systems GmbH、Elliptic Laboratories A/S、Google LLC (Alphabet Inc.)、英特尔公司、国际商业机器公司、Kairos AR Inc.、微软和Nuance Communications Inc. 等。

挑战与机会：个人对包括生物辨识资讯在内的敏感个人资料日益关注，是情绪运算市场公司面临的主要挑战之一。除此之外，与情感计算的使用相关的伦理考量越来越多，例如对心理健康的影响，可能会进一步阻碍情感计算的市场前景。然而，确保在收集和分析资料之前以合乎道德的方式采用这些系统并征得个人同意，将继续推动未来几年的市场成长。

全球情感运算市场趋势：

情感计算在汽车等行业中的应用不断增加

根据世界卫生组织 (WHO) 估计，每年有 2000-5000 万人在交通事故中遭受致命伤害。摩托车骑士、行人和骑自行车的人是最危险的道路使用者，占所有死亡人数的一半以上。因此，包括情绪计算在内的先进技术被广泛用于开发先进的驾驶员辅助系统（ADAS），以最大限度地减少道路事故。除此之外，为了对乘客和司机的行为和感受做出反应并跟踪，Eyeris 和 Affectiva 这两家最着名的技术提供商在汽车中安装了摄影机。此外，可以透过情绪技术监测驾驶员的睡意。因此，预计这些先进技术将在未来几年促进市场成长。例如，根据公路安全保险研究所的数据，到2025 年，美国的自动驾驶汽车预计将达到350 万辆，到2030 年将达到450 万辆。解决方案，该公司收购了情感。这些见解使汽车製造商能够改进安全功能，以满足 Euro NCAP 标准。汽车产业的这种进步为许多有效的运算解决方案提供者创造了机会，从而推动了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以及用于驾驶员控制的语音和手势识别，也推动了全球市场的发展。例如，Aptiv plc 与 Affectiva 合作，为车队和OEM客户实现增强多模式内部感测解决方案的商业化，并改善未来车辆的移动体验。

针对情绪运算所使用的技术进行广泛的研发 (R&D) 活动

根据情感计算市场统计数据，研究人员正在进行大量专案来开发先进的新手势和语音识别解决方案。这些项目包括引入能够服务各种最终用户应用程式的计算设备，包括医疗保健和汽车行业。例如，密西根大学 CSE 系的研究人员将他们的一篇论文列为《IEEE 情感计算彙刊》中出现的前五名论文之一。研究人员提出了扩大情绪语音表征范围的新方法，以提高跨资料集的辨识效能。此外，包括麻省理工学院在内的研究组织开展了多个研究项目，包括现实生活中的自动压力识别和触觉讯号的情绪反应等。该大学在麻省理工学院媒体实验室设有一个部门，称为情感计算小组，主要研究发明个人技术和交流情感和认知状态的新方法，以提高情感状态的自我意识，预计将进一步增加对情感状态的投资。因此，许多加拿大企业都致力于推出新的手势和语音辨识解决方案。加拿大公司 GestSure Systems 开发了一种手势软体介面，允许医生在无菌手术室以外的地方存取电脑上的患者记录。此外，该公司还提供了充当 USB 桥接器的硬件，以便使用 Kinect 与已安装的医院 PC 交换 MRI 和 CT资料。

促进采用情感计算技术的政府政策

亚太地区的政府机构正在推出优惠政策，以促进语音、手势和脸部辨识软体的采用，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。据此，印度监管机构在首都新德里使用人脸辨识技术来侦测被绑架或失踪的儿童。此外，作为 EMBOA 计画的一部分，波兰格但斯克理工大学组织了题为「自闭症儿童康復中的情感计算和社交机器人」的研讨会。土耳其、德国、英国和波兰等国迎来了来自四个计画合作伙伴国家的 40 多名访客。该计画的参与者了解了各种主题，例如社交机器人、情绪检测和自闭症儿童的技术辅助治疗。

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协作来扩大其影响力。例如，Nuance Communications 宣布与SCIENTIA Puerto Rico, Inc. 建立合作伙伴关係，扩大岛上医生和护士对Nuance Dragon Medical One 语音识别解决方案的使用范围，以改善患者治疗结果和临床记录，同时最大限度地减少导致临床医师倦怠的管理工作量。与此一致，根据情绪运算市场分析，临床级语音分析领域的知名企业 Aural Analytics, Inc. 宣布与数位生物标记开发领域的企业 Koneksa 建立合作伙伴关係，以进一步加强其平台和研究能力使用Aural Analytics的技术Speech Vitals。此外，推动业务改进的对话智慧杰出提供者 CallMiner 宣布与 Amazon Connect 和 Genesys Cloud CX 进行新集成，使组织能够快速、无缝地存取现有或未来联络中心内强大的即时分析功能，作为服务(CCaaS ) 部署。

全球情感运算市场区隔：

IMARC Group提供了全球情绪运算市场各个细分市场的主要趋势分析，以及 2024-2032 年全球、区域和国家层面的预测。我们的报告根据技术、组件和最终用途对市场进行了分类。

按技术划分：

触控式

非接触式

该报告基于该技术对市场进行了详细的细分和分析。这包括触控式和非触控式。

按组件划分：

硬体

感应器

相机

储存设备和处理器

其他的

软体

分析软体

企业软体

人脸辨识

手势识别

语音辨识

情感计算市场报告根据组成部分提供了详细的市场区隔和分析。这包括硬体（感测器、相机、储存设备和处理器等）和软体（分析软体、企业软体、脸部辨识、手势辨识和语音辨识）。

按最终用途细分：

汽车

BFSI

政府

卫生保健

资讯科技和电信

其他的

情感计算市场研究报告根据最终用途提供了详细的市场区隔和分析。这包括汽车、BFSI、政府、医疗保健、IT 和电信等。

按地区划分：

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

该报告还对所有主要区域市场进行了全面分析，包括北美（美国和加拿大）、亚太地区（中国、日本、印度、韩国、澳洲、印尼等）、欧洲（德国、法国、英国、义大利、西班牙、俄罗斯等）、拉丁美洲（巴西、墨西哥等）、中东和非洲。

本报告回答的关键问题

  • 全球情感运算市场有多大？ 2024-2032年全球情感计算市场的预期成长率是多少？
  • 推动全球情感运算市场的关键因素是什么？
  • COVID-19 对全球情感计算市场有何影响？
  • 基于该技术的全球情感计算市场的细分情况如何？
  • 全球情感运算市场以组件划分是怎样的？
  • 根据最终用途，全球情感计算市场的细分情况如何？
  • 全球情感运算市场的关键区域有哪些？
  • 全球情感运算市场的主要参与者/公司有哪些？

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球情感运算市场

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

第 6 章：市场区隔：依技术

  • 触控式
    • 市场趋势
    • 市场预测
  • 非接触式
    • 市场趋势
    • 市场预测

第 7 章：市场区隔：按组成部分

  • 硬体
    • 市场趋势
    • 关键环节
      • 感应器
      • 相机
      • 储存设备和处理器
      • 其他的
    • 市场预测
  • 软体
    • 市场趋势
    • 关键环节
      • 分析软体
      • 企业软体
      • 人脸辨识
      • 手势识别
      • 语音辨识
    • 市场预测

第 8 章：市场区隔：最终用途别

  • 汽车
    • 市场趋势
    • 市场预测
  • BFSI
    • 市场趋势
    • 市场预测
  • 政府
    • 市场趋势
    • 市场预测
  • 卫生保健
    • 市场趋势
    • 市场预测
  • 资讯科技和电信
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 9 章：市场区隔：按地区

  • 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
    • 市场趋势
    • 市场细分：按国家/地区
    • 市场预测

第 10 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 11 章：价值链分析

第 12 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 13 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: SR112024A3711

The global affective computing market size reached US$ 68.6 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 682.2 Billion by 2032, exhibiting a growth rate (CAGR) of 28.2% during 2024-2032. 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 augmenting the market growth.

Global Affective Computing Market Analysis:

Major Market Drivers: The affective computing market growth is primarily driven by continuous R&D activities in machine learning and AI technologies to improve emotion recognition algorithms that can analyze voice annotations, physiological signals, and facial recognition with higher accuracy. Moreover, numerous businesses across industries are emphasizing on offering personalized consumer experiences, which is positively influencing the affective computing market share.

Key Market Trends: Some of the significant affective computing market trends include the rising applications of affective computing in the healthcare industry, particularly in the monitoring of mental health. Besides this, the growing demand for more intuitive and natural human-computer interactions is also driving the popularity of affective computing-enabled devices to respond to the emotional state of users. Furthermore, the increasing inclination among key players across the globe towards developing AI systems and robots that can understand human emotions is expected to bolster the affective computing market over the forecasted period.

Competitive Landscape: Some of the major market players in the global affective computing industry include 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, and Nuance Communications Inc., among many others.

Challenges and Opportunities: The rising concerns among individuals towards sensitive personal data, including biometric information, are one of the key challenges faced by the affective computing market companies. Apart from this, the increasing number of ethical considerations related to the usage of affective computing, such as the impact on mental health, can further hinder the affective computing market outlook. However, ensuring that these systems are adopted ethically and with the consent of individuals before their data is collected and analyzed will continue to bolster the market growth in the coming years.

Global Affective Computing Market Trends:

The 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. Such advancements in the automotive industry are creating 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.

Global Affective Computing Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global affective computing market, along with forecasts at the global, regional and country levels for 2024-2032. Our report has categorized the market based on technology, components and end use.

Breakup by Technology:

Touch-based

Touchless

The report has provided a detailed breakup and analysis of the market based on the technology. This includes touch-based and touchless.

Breakup by Components:

Hardware

Sensors

Cameras

Storage Devices and Processors

Others

Software

Analytics Software

Enterprise Software

Facial Recognition

Gesture Recognition

Speech Recognition

The affective computing market report has provided a detailed breakup and analysis of the market based on the components. This includes hardware (sensors, cameras, storage devices and processors, and others) and software (analytics software, enterprise software, facial recognition, gesture recognition, and speech recognition).

Breakup by End Use:

Automotive

BFSI

Government

Healthcare

IT and Telecom

Others

The affective computing market research report has provided a detailed breakup and analysis of the market based on the end use. This includes automotive, BFSI, government, healthcare, IT and telecom, and others.

Breakup by Region:

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

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (United States and Canada), Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others), Europe (Germany, France, United Kingdom, Italy, Spain, Russia, and others), Latin America (Brazil, Mexico, and others), Middle East and Africa.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the major market players in global affective computing industry include:

ffectiva 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.

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Global Affective Computing Market News:

March 2024: Researchers in the Affective Computing group at the MIT Media Lab were invited to edit a series of articles on the topic of Wearable Digital Health Technologies in the New England Journal Medicine.

October 2023: The Affective Computing group introduced and evaluated new ways of bringing together Emotion AI and other affective computing technologies to make people's lives better.

Key Questions Answered in This Report

  • 1. How big is the global affective computing market?
  • 2. What is the expected growth rate of the global affective computing market during 2024-2032?
  • 3. What are the key factors driving the global affective computing market?
  • 4. What has been the impact of COVID-19 on the global affective computing market?
  • 5. What is the breakup of the global affective computing market based on the technology?
  • 6. What is the breakup of the global affective computing market based on the components?
  • 7. What is the breakup of the global affective computing market based on the end use?
  • 8. What are the key regions in the global affective computing market?
  • 9. Who are the key players/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 US$), 2018-2023
  • Figure 3: Global: Affective Computing Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Affective Computing Market: Breakup by Technology (in %), 2023
  • Figure 5: Global: Affective Computing Market: Breakup by Components (in %), 2023
  • Figure 6: Global: Affective Computing Market: Breakup by End Use (in %), 2023
  • Figure 7: Global: Affective Computing Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Affective Computing (Touch-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: Affective Computing (Touch-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: Affective Computing (Touchless) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Affective Computing (Touchless) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Affective Computing (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Affective Computing (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Affective Computing (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Affective Computing (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Affective Computing (Automotive) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Affective Computing (Automotive) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Affective Computing (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Affective Computing (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Affective Computing (Government) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Affective Computing (Government) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Affective Computing (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Affective Computing (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Affective Computing (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Affective Computing (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Affective Computing (Other End Uses) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Affective Computing (Other End Uses) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: North America: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: North America: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: United States: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: United States: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Canada: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Canada: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Asia-Pacific: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Asia-Pacific: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: China: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: China: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Japan: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Japan: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: India: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: India: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: South Korea: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: South Korea: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Australia: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Australia: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: Indonesia: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: Indonesia: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Others: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Others: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Europe: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Europe: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: Germany: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: Germany: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: France: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: France: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: United Kingdom: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: United Kingdom: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: Italy: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: Italy: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: Spain: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: Spain: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Russia: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Russia: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Others: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Others: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Latin America: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Latin America: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Brazil: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Brazil: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Mexico: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Mexico: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Others: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Others: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Middle East and Africa: Affective Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Middle East and Africa: Affective Computing Market: Breakup by Country (in %), 2023
  • Figure 76: Middle East and Africa: Affective Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • 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, 2023 and 2032
  • Table 2: Global: Affective Computing Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 3: Global: Affective Computing Market Forecast: Breakup by Components (in Million US$), 2024-2032
  • Table 4: Global: Affective Computing Market Forecast: Breakup by End Use (in Million US$), 2024-2032
  • Table 5: Global: Affective Computing Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: Affective Computing Market: Competitive Structure
  • Table 7: Global: Affective Computing Market: Key Players