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市場調查報告書
商品編碼
1820354

情感運算市場規模、佔有率、趨勢及預測（按技術、組件、最終用途和地區），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個工作天內

價格

2024年，全球情感運算市場規模達879.8億美元。展望未來， IMARC Group預測，到2033年，該市場規模將達到8,228.3億美元，2025-2033年期間的複合年成長率為26.79%。北美市場佔據主導地位，2024年市佔率高達46.2%。情感運算有助於實現個人化，例如可根據使用者需求改變音樂、室溫和燈光，人們對情感運算的認知度不斷提高，加上穿戴式裝置需求的不斷成長，這些因素共同推動了情感運算市場佔有率的成長。

市場的成長源自於多種相互關聯的趨勢。醫療保健領域擴大採用情緒識別系統，這有助於監測心理健康、壓力和患者參與。在汽車應用中，能夠偵測困倦或分心的駕駛監控系統正成為標配。客戶服務和教育等領域對更自然的人機互動的需求也起到了推動作用。配備可測量心率和體溫等生理訊號的感測器的穿戴式設備正在擴大情緒技術的覆蓋範圍。人工智慧、機器學習和物聯網的結合使得即時分析情緒狀態成為可能，從而提高反應能力。企業正在投資情感運算，以提高用戶參與、個人化服務並深入了解消費者行為，尤其是在零售和娛樂領域。這種日益成長的多功能性將繼續塑造情感運算的市場前景。

電池供電的臉部辨識終端在情緒運算應用中日益受到青睞。其攜帶式設計支援在各種環境中靈活部署，同時保持情緒和識別功能。在需要高效、非接觸式門禁控制和使用者互動分析且無需依賴固定電源的環境中，此類系統正變得至關重要。例如，2024年10月，海康威視印度公司推出了一系列全新的電池供電的MinMoe臉部辨識終端(FRT)。這款新穎的FRT技術目前有兩種型號：DS-K1T320MFWX-B和DS-K1T320EFWX-B，以及DS-K1T321MFWX-B型號。

情感運算市場趨勢：

情感運算在汽車等行業中的應用日益增多

根據世界衛生組織 (WHO) 估計，每年有 2,000 萬至 5,000 萬人在交通事故中受傷身亡。摩托車駕駛、行人和騎自行車的人是風險最高的道路使用者，佔所有死亡人數的一半以上。因此，包括情緒運算在內的先進技術被廣泛用於開發高級駕駛輔助系統 (ADAS)，以最大限度地減少道路事故。此外，為了回應和追蹤乘客和駕駛員的行為和感受，兩家最著名的技術供應商 Eyeris 和 Affectiva 在汽車上安裝了攝影機。此外，還可以透過情緒技術監測駕駛員的困倦程度。因此，這些先進技術預計將在未來幾年推動市場成長。例如，根據美國公路安全保險協會的數據，預計到 2025 年，美國的自動駕駛汽車將達到 350 萬輛，到 2030 年將達到 450 萬輛。此外，為了將 Affectiva 的汽車技術融入 SmartEye 的內部感測解決方案，該公司收購了 Affectiva。這些見解使汽車製造商能夠改進安全性能，以滿足歐洲新車安全評估協會 (Euro NCAP) 標準。根據情感運算市場預測，汽車產業的此類進步預計將為許多有效的運算解決方案提供者創造機會，從而推動情感運算市場的需求。生物辨識應用的引入，例如用於自動駕駛的駕駛員監控和用於駕駛員控制的語音和手勢識別，也正在推動全球市場的發展。例如，Aptiv plc 與 Affectiva 合作，為車隊和OEM客戶商業化增強多模式內部感測解決方案，並改善未來車輛的移動體驗。

情緒運算技術的廣泛研發活動

根據情緒運算市場統計數據，研究人員正在進行眾多項目，以開發先進的新型手勢和語音辨識解決方案。這些項目包括引入能夠服務各種終端用戶應用的計算設備，包括醫療保健和汽車行業。例如，密西根大學電腦科學與工程系的研究人員將他們的一篇論文評選為《IEEE 情感運算學報》上發表的五篇最佳論文之一。研究人員提出了新的方法來擴展語音情緒表徵的範圍，從而提升跨資料集的辨識效能。此外，包括麻省理工學院在內的研究機構也開展了多個研究項目，包括「現實生活中的自動壓力識別」和「對觸覺訊號的情緒反應」等。麻省理工學院媒體實驗室設有一個名為「情緒運算小組」的部門，主要研究發明個人技術和交流情感和認知狀態的新方法，以提高對情緒狀態的自我意識，預計這將在預測期內進一步增加對北美的投資。因此，許多加拿大企業正專注於推出新的手勢和語音辨識解決方案。加拿大公司 GestSure Systems 開發了一款手勢軟體介面，讓醫生可以在無菌手術室以外的場所存取電腦上的病人記錄。此外，該公司還提供了硬體，作為 USB 橋接器，以便使用 Kinect 與已安裝的醫院電腦交換 MRI 和 CT資料。

政府推動情感運算技術應用的政策

亞太地區的政府機構正在推出優惠政策，以推動語音、手勢和臉部辨識軟體的應用，這是新興的情緒運算市場趨勢之一。例如，印度的UIDAI計畫和印尼的e-KTP計畫等措施為這些國家採用情感運算提供了機會。為此，印度監管機構在首都新德里使用人臉辨識技術來識別被綁架或走失的兒童。此外，作為EMBOA計畫的一部分，在波蘭格但斯克理工大學舉辦了一場題為「情感運算和社交機器人在自閉症兒童復健中的應用」的研討會。來自土耳其、德國、英國和波蘭等四個計畫合作夥伴國家的40多名來賓參加了此次研討會。計畫參與者學習了社交機器人、情緒檢測以及自閉症兒童的技術輔助治療等各種主題。

策略併購與合作

根據情感運算市場報告，全球主要公司正在透過建立策略夥伴關係和合作關係來擴大其影響力。例如，Nuance Communications 宣布與 SCIENTIA Puerto Rico, Inc. 建立合作夥伴關係，以擴大該島醫生和護士使用 Nuance Dragon Medical One 語音識別解決方案的管道，從而改善患者治療效果和臨床文檔，同時最大限度地減少導致臨床醫生倦怠的行政工作量。同時，根據情緒運算市場分析，臨床級語音分析領域的知名公司 Aural Analytics, Inc. 宣布與數位生物標記開發公司 Koneksa 建立合作夥伴關係，利用 Aural Analytics 的 Speech Vitals 技術進一步增強其平台和研究能力。此外，致力於推動業務改進的知名對話智慧提供者 CallMiner 宣布與 Amazon Connect 和 Genesys Cloud CX 進行新的整合，使組織能夠在現有或未來的聯絡中心即服務 (CCaaS) 部署中獲得強大的即時分析功能，快速、無縫地存取。

目錄

第1章：前言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 二手資料
  • 市場評估
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第3章：執行摘要

第4章：簡介

第5章：全球情感運算市場

  • 市場概況
  • 市場表現
  • COVID-19的影響
  • 市場預測

第6章：市場區隔：依技術

  • 基於觸摸
  • 非接觸式

第7章：市場區隔：依組成部分

  • 硬體
    • 關鍵部分
      • 感應器
      • 相機
      • 儲存設備和處理器
      • 其他
  • 軟體
    • 關鍵部分
      • 分析軟體
      • 企業軟體
      • 臉部辨識
      • 手勢識別
      • 語音辨識

第 8 章：市場區隔：最終用途別

  • 汽車
  • 金融服務業協會
  • 政府
  • 衛生保健
  • IT和電信
  • 其他

第9章：市場細分：依地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲

第 10 章：SWOT 分析

第 11 章：價值鏈分析

第 12 章：波特五力分析

第13章：價格分析

第 14 章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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