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市場調查報告書
商品編碼
1541682

2024-2032 年按技術（觸控式、非觸控式）、組件（硬體、軟體）、最終用途（汽車、BFSI、政府、醫療保健、IT 和電信等）和地區分類的情感運算市場報告

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個工作天內

價格

IMARC Group年全球情緒運算市場規模達686億美元。人們對情感運算的認知不斷增強，因為它有助於個人化，例如根據用戶的要求改變音樂、室溫和照明，再加上對穿戴式裝置的需求不斷增加，這主要促進了市場的成長。

全球情感運算市場分析：

主要市場促進因素：情緒運算市場的成長主要受到機器學習和人工智慧技術持續研發活動的推動，以改善情緒辨識演算法，從而更準確地分析語音註釋、生理訊號和臉部辨識。此外，各行業的眾多企業都在強調提供個人化的消費者體驗，這對情感運算市場佔有率產生了正面影響。

主要市場趨勢：一些重要的情緒運算市場趨勢包括情緒運算在醫療保健產業中的應用不斷增加，特別是在心理健康監測方面。除此之外，對更直覺、更自然的人機互動的需求不斷成長，也推動了情感運算設備的普及，以回應使用者的情緒狀態。此外，全球主要參與者越來越傾向於開發能夠理解人類情感的人工智慧系統和機器人，預計將在預測期內提振情感運算市場。

競爭格局：全球情感運算產業的一些主要市場參與者包括 Affectiva Inc.、Cipia Vision Ltd.、Cognitec Systems GmbH、Elliptic Laboratories A/S、Google LLC (Alphabet Inc.)、英特爾公司、國際商業機器公司、Kairos AR Inc.、微軟和Nuance Communications Inc. 等。

挑戰與機會：個人對包括生物辨識資訊在內的敏感個人資料日益關注，是情緒運算市場公司面臨的主要挑戰之一。除此之外，與情感運算的使用相關的倫理考量越來越多，例如對心理健康的影響，可能會進一步阻礙情感運算的市場前景。然而，確保在收集和分析資料之前以合乎道德的方式採用這些系統並徵得個人同意，將繼續推動未來幾年的市場成長。

全球情感運算市場趨勢：

情感運算在汽車等行業中的應用不斷增加

根據世界衛生組織 (WHO) 估計，每年有 2000-5000 萬人在交通事故中遭受致命傷害。摩托車騎士、行人和騎自行車的人是最危險的道路使用者，佔所有死亡人數的一半以上。因此，包括情緒計算在內的先進技術被廣泛用於開發先進的駕駛員輔助系統（ADAS），以最大限度地減少道路事故。除此之外，為了對乘客和司機的行為和感受做出反應並追蹤，Eyeris 和 Affectiva 這兩家最著名的技術提供商在汽車中安裝了攝影機。此外，可以透過情緒技術監測駕駛員的睡意。因此，預計這些先進技術將在未來幾年促進市場成長。例如，根據公路安全保險研究所的數據，到2025 年，美國的自動駕駛汽車預計將達到350 萬輛，到2030 年將達到450 萬輛。解決方案，該公司收購了情感。這些見解使汽車製造商能夠改進安全功能，以滿足 Euro NCAP 標準。汽車產業的這種進步為許多有效的運算解決方案提供者創造了機會，從而推動了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以及用於駕駛員控制的語音和手勢識別，也推動了全球市場的發展。例如，Aptiv plc 與 Affectiva 合作，為車隊和OEM客戶實現增強多模式內部感測解決方案的商業化，並改善未來車輛的移動體驗。

針對情緒運算所使用的技術進行廣泛的研發 (R&D) 活動

根據情感運算市場統計數據，研究人員正在進行大量專案來開發先進的新手勢和語音識別解決方案。這些項目包括引入能夠服務各種最終用戶應用程式的計算設備，包括醫療保健和汽車行業。例如，密西根大學 CSE 系的研究人員將他們的一篇論文列為《IEEE 情感運算彙刊》中出現的前五名論文之一。研究人員提出了擴大情緒語音表徵範圍的新方法，以提高跨資料集的辨識效能。此外，包括麻省理工學院在內的研究組織開展了多個研究項目，包括現實生活中的自動壓力識別和觸覺訊號的情緒反應等。該大學在麻省理工學院媒體實驗室設有一個部門，稱為情感運算小組，主要研究發明個人技術和交流情感和認知狀態的新方法，以提高情感狀態的自我意識，預計將進一步增加對情感狀態的投資。因此，許多加拿大企業都致力於推出新的手勢和語音辨識解決方案。加拿大公司 GestSure Systems 開發了一種手勢軟體介面，允許醫生在無菌手術室以外的地方存取電腦上的患者記錄。此外，該公司還提供了充當 USB 橋接器的硬體，以便使用 Kinect 與已安裝的醫院 PC 交換 MRI 和 CT資料。

促進採用情感運算技術的政府政策

亞太地區的政府機構正在推出優惠政策，以促進語音、手勢和臉部辨識軟體的採用，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。據此，印度監管機構在首都新德里使用人臉辨識技術來偵測被綁架或失蹤的兒童。此外，作為 EMBOA 計畫的一部分，波蘭格但斯克理工大學組織了題為「自閉症兒童康復中的情感運算和社交機器人」的研討會。土耳其、德國、英國和波蘭等國迎來了來自四個計畫合作夥伴國家的 40 多名訪客。該計畫的參與者了解了各種主題，例如社交機器人、情緒檢測和自閉症兒童的技術輔助治療。

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協作來擴大其影響力。例如，Nuance Communications 宣布與SCIENTIA Puerto Rico, Inc. 建立合作夥伴關係，擴大島上醫生和護士對Nuance Dragon Medical One 語音識別解決方案的使用範圍，以改善患者治療結果和臨床記錄，同時最大限度地減少導致臨床醫師倦怠的管理工作量。與此一致，根據情緒運算市場分析，臨床級語音分析領域的知名企業 Aural Analytics, Inc. 宣布與數位生物標記開發領域的企業 Koneksa 建立合作夥伴關係，以進一步加強其平台和研究能力使用Aural Analytics的技術Speech Vitals。此外，推動業務改進的對話智慧傑出提供者 CallMiner 宣布與 Amazon Connect 和 Genesys Cloud CX 進行新整合，使組織能夠快速、無縫地存取現有或未來聯絡中心內強大的即時分析功能，作為服務(CCaaS ) 部署。

全球情感運算市場區隔：

IMARC Group提供了全球情緒運算市場各個細分市場的主要趨勢分析，以及 2024-2032 年全球、區域和國家層面的預測。我們的報告根據技術、組件和最終用途對市場進行了分類。

按技術分類：

觸控式

非接觸式

該報告基於該技術對市場進行了詳細的細分和分析。這包括觸控式和非觸控式。

按組件分類：

硬體

感應器

相機

儲存設備和處理器

其他

軟體

分析軟體

企業軟體

人臉辨識

手勢識別

語音辨識

情感運算市場報告根據組成部分提供了詳細的市場區隔和分析。這包括硬體（感測器、相機、儲存設備和處理器等）和軟體（分析軟體、企業軟體、臉部辨識、手勢辨識和語音辨識）。

按最終用途細分：

汽車

BFSI

政府

衛生保健

資訊科技和電信

其他

情感運算市場研究報告根據最終用途提供了詳細的市場區隔和分析。這包括汽車、BFSI、政府、醫療保健、IT 和電信等。

按地區分類：

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

該報告還對所有主要區域市場進行了全面分析，包括北美（美國和加拿大）、亞太地區（中國、日本、印度、韓國、澳洲、印尼等）、歐洲（德國、法國、英國、義大利、西班牙、俄羅斯等）、拉丁美洲（巴西、墨西哥等）、中東和非洲。

本報告回答的關鍵問題

  • 全球情感運算市場有多大？ 2024-2032年全球情感運算市場的預期成長率是多少？
  • 推動全球情感運算市場的關鍵因素是什麼？
  • COVID-19 對全球情感運算市場有何影響？
  • 基於該技術的全球情感運算市場的詳細情形如何？
  • 全球情感運算市場以組件分類是怎樣的？
  • 根據最終用途，全球情感運算市場的詳細情形如何？
  • 全球情感運算市場的關鍵區域有哪些？
  • 全球情感運算市場的主要參與者/公司有哪些？

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 數據來源
    • 主要來源
    • 二手資料
  • 市場預測
    • 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

  • 概述
  • 主要行業趨勢

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

  • 觸控式
    • 市場趨勢
    • 市場預測
  • 非接觸式
    • 市場趨勢
    • 市場預測

第 7 章：市場區隔：按組成部分

  • 硬體
    • 市場趨勢
    • 關鍵環節
      • 感應器
      • 相機
      • 儲存設備和處理器
      • 其他
    • 市場預測
  • 軟體
    • 市場趨勢
    • 關鍵環節
      • 分析軟體
      • 企業軟體
      • 人臉辨識
      • 手勢識別
      • 語音辨識
    • 市場預測

第 8 章：市場區隔：最終用途別

  • 汽車
    • 市場趨勢
    • 市場預測
  • BFSI
    • 市場趨勢
    • 市場預測
  • 政府
    • 市場趨勢
    • 市場預測
  • 衛生保健
    • 市場趨勢
    • 市場預測
  • 資訊科技和電信
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 9 章：市場區隔：按地區

  • 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
    • 市場趨勢
    • 市場細分：按國家/地區
    • 市場預測

第 10 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 11 章：價值鏈分析

第 12 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

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: 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