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Affective Computing市場。世界の産業動向、シェア、サイズ、成長、機会、および2021-2026年の予測Affective Computing Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026 The global affective computing market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of around 35% during 2021-2026. Keeping in mind the... もっと見る
サマリーThe global affective computing market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of around 35% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.Also known as emotion AI, affective computing is a combination of cognitive science, psychology, and computer science that senses the non-verbal emotional signals of human beings. It analyzes the emotion of a person by using an analytics engine, big data, machine intelligence, and different sensors. It assists businesses in enhancing the overall user experience and selling products effectively. As a result, affective computing finds extensive application in autonomous and e-learning systems across the globe. Affecting computing helps establish an interaction between a computer and a human being by detecting the stimuli of the user and responding accordingly. The technology relies on high-speed broadband connections to ensure real-time and effective communication between high-resolution dual cameras and the machine learning (ML) models that interpret human emotions. Therefore, the numerous benefits offered by affective computing represent one of the significant factors positively influencing its application in several end use industries around the world. Besides this, it can be employed for personalization, such as changing room temperature, music, and lighting as per the requirement of the user, which is contributing to the market growth. Furthermore, the rising adoption of AI in logistics, parking aid software, autonomous cars and surgical robots is bolstering the growth in the market. Apart from this, the growing deployment of robots, rising utilization of wearable devices, and increasing collaborations among market players are anticipated to catalyze the demand for affective computing across the world. Key Market Segmentation: IMARC Group provides an analysis of the key trends in each sub-segment of the global affective computing market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, technology, components and end use. 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 Breakup by End Use: Automotive BFSI Government Healthcare IT and Telecom 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 Competitive Landscape: The competitive landscape of the industry has also been examined along with the profiles of the key players being 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. Key Questions Answered in This Report: How has the global affective computing market performed so far and how will it perform in the coming years? What has been the impact of COVID-19 on the global affective computing market? What are the key regional markets? What is the breakup of the market based on the technology? What is the breakup of the market based on the components? What is the breakup of the market based on the end use? What are the various stages in the value chain of the industry? What are the key driving factors and challenges in the industry? What is the structure of the global affective computing market and who are the key players? What is the degree of competition in the industry? 目次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 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
SummaryThe global affective computing market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of around 35% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.Also known as emotion AI, affective computing is a combination of cognitive science, psychology, and computer science that senses the non-verbal emotional signals of human beings. It analyzes the emotion of a person by using an analytics engine, big data, machine intelligence, and different sensors. It assists businesses in enhancing the overall user experience and selling products effectively. As a result, affective computing finds extensive application in autonomous and e-learning systems across the globe. Affecting computing helps establish an interaction between a computer and a human being by detecting the stimuli of the user and responding accordingly. The technology relies on high-speed broadband connections to ensure real-time and effective communication between high-resolution dual cameras and the machine learning (ML) models that interpret human emotions. Therefore, the numerous benefits offered by affective computing represent one of the significant factors positively influencing its application in several end use industries around the world. Besides this, it can be employed for personalization, such as changing room temperature, music, and lighting as per the requirement of the user, which is contributing to the market growth. Furthermore, the rising adoption of AI in logistics, parking aid software, autonomous cars and surgical robots is bolstering the growth in the market. Apart from this, the growing deployment of robots, rising utilization of wearable devices, and increasing collaborations among market players are anticipated to catalyze the demand for affective computing across the world. Key Market Segmentation: IMARC Group provides an analysis of the key trends in each sub-segment of the global affective computing market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, technology, components and end use. 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 Breakup by End Use: Automotive BFSI Government Healthcare IT and Telecom 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 Competitive Landscape: The competitive landscape of the industry has also been examined along with the profiles of the key players being 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. Key Questions Answered in This Report: How has the global affective computing market performed so far and how will it perform in the coming years? What has been the impact of COVID-19 on the global affective computing market? What are the key regional markets? What is the breakup of the market based on the technology? What is the breakup of the market based on the components? What is the breakup of the market based on the end use? What are the various stages in the value chain of the industry? What are the key driving factors and challenges in the industry? What is the structure of the global affective computing market and who are the key players? What is the degree of competition in the industry? Table of Contents1 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 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
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