Affective Computing Market Growth, Demand and Challenges of the Key Industry Players 2024-32

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Global Affective Computing Market Research and
Forecast Report 2024-2032

• Format PDFEXCEL

2023 IMARC All Rights Reserved
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About IMARC Group

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Report Highlight and Description

• According to the latest report by IMARC Group,
  titled "Affective Computing Market Global
  Industry Trends, Share, Size, Growth, Opportunity
  and Forecast 2024-2032," the global affective
  computing market size reached US 68.6 Billion in
  2023.
• Affective computing refers to a multidisciplinary
  field combining psychology, and computer and
  cognitive sciences, which recognizes, interprets,
  and simulates human emotions. It uses a range of
  software and hardware components, including
  sensors, cameras, processors, machine
  intelligence, and microphones that assist in
  sensing and evaluating the non-verbal
  communication signals of users.
• Affective computing aids enterprises in
  understanding the reactive state of customers,
  selling products effectively, monitoring employee
  emotional states to adjust their workload, and
  performing content optimization to engage with
  clients. Apart from this, affective communication
  optimizes overall organizational productivity
  therefore, it is extensively incorporated in the
  autonomous and e-learning systems in varying
  industries.
• Request for a PDF sample of this report
  https//www.imarcgroup.com/affective-computing-mar
  ket/requestsample

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Report Description

• Global Affective Computing Market Trends
• The widespread adoption of affective computing
  across various industrial verticals can be
  attributed to the increasing demand for effective
  and improved human-computer interfaces to
  establish an interaction between the user and
  system after detection of the emotional state. In
  line with this, significant technological
  advancements, such as the large-scale integration
  of machine learning (ML), artificial intelligence
  (AI), and dual cameras to detect human behavior,
  motion, gestures, and physiology, are acting as
  another growth-inducing factor. Moreover, the
  rising need for telehealth applications,
  especially during the coronavirus disease
  (COVID-19) pandemic, has prompted the extensive
  incorporation of affective computing solutions
  for monitoring patient conditions and providing
  treatment, which is propelling the market growth.
  
• Additionally, escalating fraudulent activities,
  such as hacking, have prompted the installation
  of virtual assistants and face-recognition
  biometrics in affective computing systems to
  offer better security, which is propelling the
  market growth. Other factors, such as the fueling
  utilization of consumer electronics and several
  wearable devices and the strategic collaborations
  amongst key players to enhance product efficacy
  to offer personalized experiences to users, are
  positively stimulating the market growth.
• Looking forward, the market is anticipated to
  reach a value of US 682.2 Billion by 2032,
  growing at a CAGR of 28.2 during 2024-2032.
• View Report TOC, Figures and Tables
  https//www.imarcgroup.com/affective-computing-mar
  ket

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Report Segmentation

• Breakup by Technology
• Touch-based
• Touchless
•  
• Breakup by Components
• Hardware
• Sensors
• Cameras
• Storage Devices and Processors
• Others
• Software
• Analytics Software
• Enterprise Software
• Facial Recognition
• Gesture Recognition
• Speech Recognition

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Report Segmentation

• Breakup by End Use
• Automotive
• BFSI
• Government
• Healthcare
• IT and Telecom
• Others
• Breakup by Region
• North America
• Asia-Pacific
• Europe
• Latin America
• Middle East and Africa

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Competitive Landscape with Key Players

• 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.

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Key Questions Answered in the Report
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Table of Contents

• 1    Preface2    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
  Methodology3    Executive Summary4  
   Introduction    4.1    Overview    4.2    Key
  Industry Trends5    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
  Forecast7   Market Breakup by Components    7.1
     Hardware        7.1.1 Market Trends       
  7.1.2 Key Segments       

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Table of Contents

•            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 Forecast8  
  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
• For more information, visit https//www.imarcgrou
  p.com/affective-computing-market/toc

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Disclaimer

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