세계의 감성 컴퓨팅 시장 보고서 : 기술, 컴포넌트, 최종 용도, 지역별(2024-2032년)

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