1 INTRODUCTION 18
1.1 OBJECTIVES OF THE STUDY 18
1.2 MARKET DEFINITION 18
1.2.1 INCLUSIONS AND EXCLUSIONS 18
1.3 MARKET SCOPE 19
1.3.1 MARKET SEGMENTATION 19
1.3.2 REGIONS COVERED 20
1.4 YEARS CONSIDERED FOR THE STUDY 20
1.5 CURRENCY CONSIDERED 21
1.6 STAKEHOLDERS 21

2 RESEARCH METHODOLOGY 22
2.1 RESEARCH DATA 22
2.1.1 RESEARCH DATA: SCOPE AND DEFINITIONS 23
2.1.2 DATA SOURCING AND TRIANGULATION 24
2.1.3 SECONDARY DATA 25
2.1.3.1 Vendor selection and evaluation 25
2.1.3.2 Geographic analysis 26
2.1.3.3 Analysis of industry trends 26
2.1.4 PRIMARY DATA 26
2.1.4.1 Key industry insights 27
2.2 MARKET SIZE ESTIMATION 27
2.2.1 REVENUE ESTIMATES 27
2.2.2 DEMAND SIDE ANALYSIS 29
2.2.3 TOP-DOWN APPROACH 30
2.3 MARKET FORECAST 30
2.3.1 LIMITATIONS OF THE STUDY 31

3 EXECUTIVE SUMMARY 32

4 PREMIUM INSIGHTS 36
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE EMOTION DETECTION
AND RECOGNITION MARKET 36
4.2 EMOTION DETECTION AND RECOGNITION MARKET, MARKET SHARE OF
TOP 3 END USERS AND REGIONS, 2019 36
4.3 EMOTION DETECTION AND RECOGNITION MARKET, BY APPLICATION AREA, 2019–2024 37
4.4 EMOTION DETECTION AND RECOGNITION MARKET, BY END USER, 2019–2024 37
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5 MARKET OVERVIEW AND INDUSTRY TRENDS 38
5.1 INTRODUCTION 38
5.2 MARKET DYNAMICS 38
5.2.1 DRIVERS 39
5.2.1.1 Rising need for socially intelligent artificial agents 39
5.2.1.2 Increased demand for speech-based emotion detection systems to analyze emotional states 39
5.2.1.3 Technological advancements in IoT, AI, ML, and deep learning across the globe 40
5.2.1.4 Growing need for high operational excellence, increased resource utilization, and enhanced productivity 41
5.2.2 RESTRAINTS 42
5.2.2.1 High production cost of emotion detection and recognition systems 42
5.2.2.2 Interoperability concerns 42
5.2.2.3 Oligopoly in the development of the speech and voice recognition technologies using neural networks restricting its use for cloud-based services 42
5.2.3 OPPORTUNITIES 43
5.2.3.1 Growing inclination toward industry-specific solutions 43
5.2.3.2 Increasing government initiatives to leverage benefits of emotion detection and recognition technology 43
5.2.3.3 Growing partnerships and widening ecosystems 44
5.2.4 CHALLENGES 44
5.2.4.1 Complex systems for emotion recognition 44
5.2.4.2 Deficient knowledge and awareness and technical challenges 45
5.2.4.3 Threat of privacy and data breach 45
5.3 PRINCIPLES OF MEASURING EMOTIONS 46
5.4 USE CASES 46
5.4.1 USE CASES: HEALTHCARE 46
5.4.2 USE CASES: ENTERTAINMENT AND GAMING 47
5.4.3 USE CASES: GOVERNMENT AND DEFENSE 47
5.4.4 USE CASES: AUTOMOTIVE 48
5.4.5 USE CASES: HIGH-TECH 48

6 EMOTION DETECTION AND RECOGNITION MARKET, BY TECHNOLOGY 49
6.1 INTRODUCTION 50
6.2 FEATURE EXTRACTION AND 3D MODELING 51
6.2.1 FEATURE EXTRACTION AND 3D MODELING: EMOTION DETECTION
AND RECOGNITION MARKET DRIVERS 51
6.3 BIOSENSORS TECHNOLOGY 52
6.3.1 BIOSENSORS TECHNOLOGY: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 53
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6.4 NATURAL LANGUAGE PROCESSING 54
6.4.1 NATURAL LANGUAGE PROCESSING: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 54
6.5 MACHINE LEARNING 55
6.5.1 MACHINE LEARNING: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 55
6.6 OTHER TECHNOLOGIES 56

7 EMOTION DETECTION AND RECOGNITION MARKET, BY SOFTWARE TOOL 57
7.1 INTRODUCTION 58
7.2 FACIAL EXPRESSION RECOGNITION 59
7.2.1 FACIAL EXPRESSION RECOGNITION: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 59
7.3 BIOSENSING TOOLS AND APPS 60
7.3.1 BIOSENSING TOOLS AND APPS: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 60
7.4 SPEECH AND VOICE RECOGNITION 61
7.4.1 SPEECH AND VOICE RECOGNITION: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 61
7.5 GESTURE AND POSTURE RECOGNITION 62
7.5.1 GESTURE AND POSTURE RECOGNITION: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 62

8 EMOTION DETECTION AND RECOGNITION MARKET, BY APPLICATION AREA 64
8.1 INTRODUCTION 65
8.2 MEDICAL EMERGENCY 66
8.2.1 MEDICAL EMERGENCY: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 66
8.3 MARKETING AND ADVERTISING 67
8.3.1 MARKETING AND ADVERTISING: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 67
8.4 LAW ENFORCEMENT, SURVEILLANCE, AND MONITORING 68
8.4.1 LAW ENFORCEMENT, SURVEILLANCE, AND MONITORING: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 68
8.5 ENTERTAINMENT AND CONSUMER ELECTRONICS 69
8.5.1 ENTERTAINMENT AND CONSUMER ELECTRONICS: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 69
8.6 OTHER APPLICATION AREAS 70

9 EMOTION DETECTION AND RECOGNITION MARKET, BY END USER 71
9.1 INTRODUCTION 72
9.2 ENTERPRISES 73
9.2.1 ENTERPRISES: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 73
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9.3 DEFENSE AND SECURITY AGENCY 74
9.3.1 DEFENSE AND SECURITY AGENCY: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 74
9.4 COMMERCIAL 75
9.4.1 COMMERCIAL: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 75
9.5 INDUSTRIAL 76
9.5.1 INDUSTRIAL: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS 76
9.6 OTHER END USERS 77

10 EMOTION DETECTION AND RECOGNITION MARKET, BY REGION 78
10.1 INTRODUCTION 79
10.2 NORTH AMERICA 80
10.2.1 UNITED STATES 91
10.2.1.1 United States: Emotion detection and recognition market drivers 92
10.2.2 CANADA 94
10.2.2.1 Canada: Emotion detection and recognition market drivers 94
10.3 EUROPE 97
10.3.1 UNITED KINGDOM 99
10.3.1.1 United Kingdom: Emotion detection and recognition market drivers 99
10.3.2 GERMANY 101
10.3.2.1 Germany: Emotion detection and recognition market drivers 101
10.3.3 NETHERLANDS 104
10.3.3.1 Netherlands: Emotion detection and recognition market drivers 104
10.3.4 REST OF EUROPE 106
10.4 ASIA PACIFIC 107
10.4.1 CHINA 111
10.4.1.1 China: Emotion detection and recognition market drivers 111
10.4.2 JAPAN 114
10.4.2.1 Japan: Emotion detection and recognition market drivers 114
10.4.3 AUSTRALIA 117
10.4.3.1 Australia: Emotion detection and recognition market drivers 117
10.4.4 REST OF ASIA PACIFIC 119
10.5 REST OF THE WORLD 120
10.5.1 MIDDLE EAST AND AFRICA 122
10.5.1.1 Middle East and Africa: Emotion detection and recognition market drivers 123
10.5.2 LATIN AMERICA 125
10.5.2.1 Latin America: Emotion detection and recognition market drivers 126

11 COMPETITIVE LANDSCAPE 129
11.1 INTRODUCTION 129
11.2 COMPETITIVE LEADERSHIP MAPPING 129
11.2.1 VISIONARY LEADERS 129
11.2.2 DYNAMIC DIFFERENTIATORS 129
11.2.3 INNOVATORS 130
11.2.4 EMERGING COMPANIES 130
11.3 COMPETITIVE SCENARIO 131
11.3.1 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS 132
11.3.2 PARTNERSHIPS AND COLLABORATIONS 132
11.3.3 MERGERS AND ACQUISITIONS 134
12 COMPANY PROFILES 135
12.1 INTRODUCTION 135
(Business overview, Products offered, Technologies offered, Recent developments & SWOT analysis)*
12.2 APPLE (EMOTIENT) 135
12.3 GOOGLE 138
12.4 MICROSOFT 140
12.5 IBM 144
12.6 AFFECTIVA 146
12.7 BEYOND VERBAL 149
12.8 NOLDUS INFORMATION TECHNOLOGY 150
12.9 TOBII 152
12.10 NEC 155
12.11 SENTIANCE 158
12.12 NVISO 160
12.13 EYESIGHT TECHNOLOGIES 162
12.14 AYONIX 164
12.15 COGNITEC SYSTEMS 166
12.16 SIGHTCORP 166
12.17 CROWDEMOTION 167
12.18 KAIROS 167
12.19 EYERIS 168
12.20 IMOTIONS 168
12.21 RIGHT TO WIN 169
*Details on Business overview, Products offered, Technologies offered, Recent developments & SWOT analysis might not be captured in case of unlisted companies.
13 APPENDIX 171
13.1 DISCUSSION GUIDE 171
13.2 KNOWLEDGE STORE: MARKETSANDMARKETS? SUBSCRIPTION PORTAL 174
13.3 AVAILABLE CUSTOMIZATIONS 176
13.4 RELATED REPORTS 176
13.5 AUTHOR DETAILS 177