查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2049592

情感運算市場規模、佔有率、趨勢和預測：按技術、組件、最終用途和地區分類，2026-2034 年

Affective Computing Market Size, Share, Trends and Forecast by Technology, Components, End Use, and Region, 2026-2034
出版日期: | 出版商: IMARC | 英文 148 Pages | 商品交期: 2-3個工作天內

價格

2025年全球情緒運算市場規模為1,115億美元。展望未來，IMARC Group預測，該市場將在2026年至2034年間以25.72%的複合年成長率成長，到2034年達到9,266億美元。北美是該市場的主要驅動力，在2025年佔據了46.2%的市場。人們對情感運算的認知不斷提高，情感運算支援個人化功能，例如根據使用者要求改變音樂、室溫和照明，加上穿戴式裝置需求的不斷成長，這些因素都顯著推動了情感運算市場佔有率的擴張。

該市場的成長受到多個相互關聯的趨勢的驅動。在醫療保健領域，情緒識別系統的日益普及有助於監測心理健康、壓力狀況和患者參與度。在汽車應用領域，能夠偵測駕駛者困倦和注意力分散的駕駛監控系統正逐漸成為標準配備。客戶服務和教育等領域對更自然的人機互動的需求也推動了市場成長。配備感測器的穿戴式裝置能夠測量心率和皮膚溫度等生理訊號，從而拓展了情緒技術的應用範圍。人工智慧、機器學習和物聯網 (IoT) 的結合實現了對情緒狀態的即時分析，提高了應對力。企業正在投資情感運算，尤其是在零售和娛樂領域，以提升用戶參與、實現服務個人化並深入了解消費行為。這種日益成長的多樣性持續塑造著情感運算市場的格局。

在情感運算應用領域，電池供電的臉部認證終端正日益受到關注。其可攜式設計使其能夠在各種環境中靈活部署，同時保持情感和身份識別能力。這些系統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場景中變得至關重要。例如，2024年10月，海康威視印度公司發布了全新系列的電池供電型MinMoe臉部辨識終端（FRT）。這項創新的FRT技術目前提供三種型號：DS-K1T320MFWX-B和DS-K1T320EFWX-B，以及DS-K1T321MFWX-B。

情感運算市場的發展趨勢：

情感運算在各行業的應用不斷擴展，包括汽車產業。

根據世界衛生組織（WHO）估計，每年約有2,000萬至5,000萬人死於交通事故。摩托車騎士、行人和自行車騎乘者是最脆弱的道路使用者群體，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正被廣泛應用於高階駕駛輔助系統（ADAS）的開發，以最大限度地減少交通事故。此外，領先的技術供應商Eyeris和Affectiva已在車輛中安裝鏡頭，以了解並響應乘客和駕駛員的行為和情緒。此外，情緒辨識技術也可用於監測駕駛者的疲勞程度。因此，這些先進技術有望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（IIHS）的預測，到2025年，美國的自動駕駛汽車數量預計將達到350萬輛，到2030年將達到450萬輛。此外，SmartEye收購了Affectiva，旨在將其汽車技術整合到其車載感測解決方案中。這些洞見將幫助汽車製造商改進安全功能並達到歐洲新車安全評估協會 (Euro NCAP) 的標準。根據情感運算市場的預測，汽車產業的這些進步有望為許多情感運算解決方案提供者創造機遇，進而推動情感運算市場的需求。生物識別應用（例如用於自動駕駛的駕駛員監控以及用於駕駛員操作的語音和手勢姿態辨識）的引入也在促進全球市場的發展。例如，Aptiv plc 已與 Affectiva 合作，為車隊和 OEM 客戶商業化先進的多模態車載感測解決方案，旨在改善未來車輛的出行體驗。

與情感運算技術相關的廣泛研究與開發（R&D）活動。

來自情緒運算市場的統計數據顯示，研究人員正在進行許多項目，致力於開發先進的新型手勢和語音辨識解決方案。這些項目包括部署能夠支援各種終端用戶應用（包括醫療和汽車行業應用）的​​計算設備。例如，密西根大學電腦科學與工程系 (CSE) 的一篇論文入選 IEEE 情感運算彙刊 (IEEE Transactions on Affective Computing) 的五篇最佳論文之一。該論文提案了一種新穎的方法，旨在擴展情緒表達聲音的範圍，從而提高整個資料集的識別性能。此外，包括麻省理工學院 (MIT) 在內的研究機構也開展了多個研究項目，例如「真實環境中的自動壓力識別」和「對觸覺訊號的情緒反應」。麻省理工學院媒體實驗室下設一個名為「情緒運算小組」的部門，該部門主要開發個人技術，以提高人們對自身情緒狀態的自我認知，並探索新的情感和認知狀態溝通方法。預計這將推動北美地區在預測期內的投資進一步成長。因此，許多加拿大公司正致力於部署新的手勢和語音辨識解決方案。加拿大公司GestSure Systems開發了一種基於手勢的軟體介面，使醫生能夠在無菌手術室外的電腦上存取病患記錄。該公司還提供一種利用Kinect作為USB橋接器的硬體，用於與現有醫院電腦交換MRI和CT數據。

政府政策旨在促進情感運算技術的應用

亞太地區的政府機構正在實施有利於推廣語音、手勢和臉部辨識軟體的政策，這是情緒運算市場新興趨勢之一。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契機。因此，印度監管機構已在首都新德里使用臉部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，波蘭格但斯克理工大學舉辦了研討會。來自四個計畫夥伴國的40多位訪客從土耳其、德國、英國和波蘭等國參加了此次研討會。計畫參與者學習了包括社交機器人、情緒檢測和自閉症兒童科技輔助療法在內的各種主題。

策略性併購與合作

根據《情感運算市場報告》，全球領導企業正透過策略夥伴關係與聯盟拓展業務。例如，Nuance Communications宣布與SCIENTIA Puerto Rico, Inc.建立合作關係。此舉旨在透過使波多黎各的醫生和護士能夠使用Nuance的語音辨識解決方案Dragon Medical One，改善患者治療效果和臨床記錄，同時最大限度地減少導致臨床醫生職業倦怠的行政工作負擔。同時，《情緒運算市場分析》報告指出，主要企業宣布與Amazon Connect和Genesys Cloud CX實現新的整合。這將使企業能夠在現有或未來的聯絡中心即服務（CCaaS）環境中快速且無縫地存取強大的即時分析功能。

目錄

第1章：序言

第2章：調查方法

  • 調查目的
  • 相關利益者
  • 數據來源
    • 主要訊息
    • 次要訊息
  • 市場估值
    • 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：引言

第5章：全球情感運算市場

  • 市場概覽
  • 市場表現
  • 新冠疫情的影響
  • 市場預測

第6章 市場區隔：依技術分類

  • 觸控螢幕
  • 非接觸式

第7章 市場區隔：依組件分類

  • 硬體
    • 主要部分
      • 感應器
      • 相機
      • 儲存設備和處理器
      • 其他
  • 軟體
    • 主要部分
      • 分析軟體
      • 企業軟體
      • 臉部辨識
      • 手勢姿態辨識
      • 語音辨識

第8章 市場區隔：依最終用途分類

  • 車
  • BFSI
  • 政府
  • 衛生保健
  • 資訊科技/通訊
  • 其他

第9章 市場區隔：依地區分類

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 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
  • 大公司
  • 主要公司簡介
    • 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: SR112026A3711

The global affective computing market size was valued at USD 111.5 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 926.6 Billion by 2034, exhibiting a CAGR of 25.72% during 2026-2034. North America dominated the market, holding a significant market share of 46.2% in 2025. 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 2025, 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 2025 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

Healthcare led the market with around 19.7% of market share in 2025 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 2025, 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 2025, 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), 2020-2025
  • Figure 3: Global: Affective Computing Market Forecast: Sales Value (in Billion USD), 2026-2034
  • Figure 4: Global: Affective Computing Market: Breakup by Technology (in %), 2025
  • Figure 5: Global: Affective Computing Market: Breakup by Components (in %), 2025
  • Figure 6: Global: Affective Computing Market: Breakup by End Use (in %), 2025
  • Figure 7: Global: Affective Computing Market: Breakup by Region (in %), 2025
  • Figure 8: Global: Affective Computing (Touch-based) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 9: Global: Affective Computing (Touch-based) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 10: Global: Affective Computing (Touchless) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 11: Global: Affective Computing (Touchless) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 12: Global: Affective Computing (Hardware) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 13: Global: Affective Computing (Hardware) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 14: Global: Affective Computing (Software) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 15: Global: Affective Computing (Software) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 16: Global: Affective Computing (Automotive) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 17: Global: Affective Computing (Automotive) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 18: Global: Affective Computing (BFSI) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 19: Global: Affective Computing (BFSI) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 20: Global: Affective Computing (Government) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 21: Global: Affective Computing (Government) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 22: Global: Affective Computing (Healthcare) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 23: Global: Affective Computing (Healthcare) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 24: Global: Affective Computing (IT and Telecom) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 25: Global: Affective Computing (IT and Telecom) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 26: Global: Affective Computing (Other End Uses) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 27: Global: Affective Computing (Other End Uses) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 28: North America: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 29: North America: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 30: United States: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 31: United States: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 32: Canada: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 33: Canada: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 34: Asia-Pacific: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 35: Asia-Pacific: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 36: China: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 37: China: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 38: Japan: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 39: Japan: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 40: India: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 41: India: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 42: South Korea: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 43: South Korea: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 44: Australia: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 45: Australia: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 46: Indonesia: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 47: Indonesia: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 48: Others: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 49: Others: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 50: Europe: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 51: Europe: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 52: Germany: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 53: Germany: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 54: France: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 55: France: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 56: United Kingdom: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 57: United Kingdom: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 58: Italy: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 59: Italy: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 60: Spain: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 61: Spain: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 62: Russia: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 63: Russia: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 64: Others: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 65: Others: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 66: Latin America: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 67: Latin America: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 68: Brazil: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 69: Brazil: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 70: Mexico: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 71: Mexico: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 72: Others: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 73: Others: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 74: Middle East and Africa: Affective Computing Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 75: Middle East and Africa: Affective Computing Market: Breakup by Country (in %), 2025
  • Figure 76: Middle East and Africa: Affective Computing Market Forecast: Sales Value (in Million USD), 2026-2034
  • 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, 2025 and 2034
  • Table 2: Global: Affective Computing Market Forecast: Breakup by Technology (in Million USD), 2026-2034
  • Table 3: Global: Affective Computing Market Forecast: Breakup by Components (in Million USD), 2026-2034
  • Table 4: Global: Affective Computing Market Forecast: Breakup by End Use (in Million USD), 2026-2034
  • Table 5: Global: Affective Computing Market Forecast: Breakup by Region (in Million USD), 2026-2034
  • Table 6: Global: Affective Computing Market: Competitive Structure
  • Table 7: Global: Affective Computing Market: Key Players