Global Emotion Detection and Recognition Market
Global Emotion Detection and Recognition Market

Emotion Detection and Recognition Comprehensive Study by Application (Enterprises, Defense and Security Agencies, Commercial, Industrial, Other), Software Tool (Bio Sensing Software Tools and Apps, Facial Expression Recognition, Speech and Voice Recognition), Technology (Bio Sensors Technology, Pattern Recognition, Natural Language Processing (NLP), Feature Extraction and 3D Modelling, Machine Learning, Others), Service (Storage and maintenance, Consulting and integration) Players and Region - Global Market Outlook to 2024

Emotion Detection and Recognition Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025 | CAGR: 33.2%  

Jan 2019 Edition 212 Pages 200 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
According to AMA, the Emotion Detection and Recognition market will register a CAGR of above 33.2% by 2024. The study covers a detailed analysis segmented by key business segments i.e. , by application (Enterprises, Defense and Security Agencies, Commercial, Industrial and Other) and major geographies. Research Analyst at AMA predicts that United States and The Netherlands Players will contribute to the maximum growth of Global Emotion Detection and Recognition market throughout the predicted period.

The competition is expected to become even more intense in the coming years with the entry of several new players in the market. To help clients improve their revenue shares in the market, this research study provides an in-depth analysis of the market’s competitive landscape and offers information on the products offered by various leading companies. Additionally, this Emotion Detection and Recognition market analysis report suggests strategies Players can follow and recommends key areas they should focus on, in order to take maximum benefits of growth opportunities.

The report offers several leading Players, including:
  • Affectiva (United States)
  • Beyond Verbal Communication Ltd. (Israel)
  • Crowd Emotions (United Kingdom)
  • Emotient (United States)
  • Emospeech (United States)
  • Eyeris (United States)
  • Good Vibrations (The Netherlands)
  • Kairos AR Inc. (United States)
  • Noldus (The Netherlands)
  • nViso (Switzerland)
  • Tobii (Sweden)


California Consumer Privacy Act (CCPA) is passing a law for protection of data in United States which will be effective by January, 2020. It is expected to be country’s highest commendable security and privacy law.

Market Trend
Adoption of machine learning, natural language processing
Restraints
  • High Cost of Device and Solutions
  • Dearth of Efficient Algorithm

Opportunities
Adoption of Cloud-Based Technology and Growing Need of Strong Authentication Methods and Demand for Agile Data Analytics

Key highlights of the Global Emotion Detection and Recognition market Study:
• CAGR of the market during the forecast period 2018-2024
• Detailed information on factors that will accelerate the growth of the Emotion Detection and Recognition market for the next five years.
• Forecast of the Global Emotion Detection and Recognition market size and its contribution to the parent market by type, application and by country.
• Insights on upcoming trends and changes in consumer behaviour
• Uncovering market’s competitive landscape and in-depth information on various Players
• Comprehensive information about factors that will challenge the growth of Emotion Detection and Recognition Players

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase

Research Methodology:

The top-down and bottom-up approaches are used to estimate and validate the size of the Global Emotion Detection and Recognition market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Emotion Detection and Recognition market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment> by targeting key target audience that includes Enterprise users, Defense and security agencies, Commercial users, Industrial users and Others.
This helps us to gather the data for the players’ revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases etc.
Report Objectives / Segmentation Covered
By Application
  • Enterprises
  • Defense and Security Agencies
  • Commercial
  • Industrial
  • Other
By Software Tool
  • Bio Sensing Software Tools and Apps
  • Facial Expression Recognition
  • Speech and Voice Recognition

By Technology
  • Bio Sensors Technology
  • Pattern Recognition
  • Natural Language Processing (NLP)
  • Feature Extraction and 3D Modelling
  • Machine Learning
  • Others

By Service
  • Storage and maintenance
  • Consulting and integration

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing demand for wearable devices including smart watch, fitness bands, smart glasses and other
      • 3.2.2. Surging penetration of Internet of Things (IoT) technology
      • 3.2.3. Rise in Usage of Smartphones
    • 3.3. Market Challenges
      • 3.3.1. Misinterpretation in Analysis of Emotions
      • 3.3.2. Lack of Expertise, and Other Operational Challenges
    • 3.4. Market Trends
      • 3.4.1. Adoption of machine learning, natural language processing
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Emotion Detection and Recognition, by Application, Software Tool, Technology, Service and Region (value and price ) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Emotion Detection and Recognition (Value)
      • 5.2.1. Global Emotion Detection and Recognition by: Application (Value)
        • 5.2.1.1. Enterprises
        • 5.2.1.2. Defense and Security Agencies
        • 5.2.1.3. Commercial
        • 5.2.1.4. Industrial
        • 5.2.1.5. Other
      • 5.2.2. Global Emotion Detection and Recognition by: Software Tool (Value)
        • 5.2.2.1. Bio Sensing Software Tools and Apps
        • 5.2.2.2. Facial Expression Recognition
        • 5.2.2.3. Speech and Voice Recognition
      • 5.2.3. Global Emotion Detection and Recognition by: Technology (Value)
        • 5.2.3.1. Bio Sensors Technology
        • 5.2.3.2. Pattern Recognition
        • 5.2.3.3. Natural Language Processing (NLP)
        • 5.2.3.4. Feature Extraction and 3D Modelling
        • 5.2.3.5. Machine Learning
        • 5.2.3.6. Others
      • 5.2.4. Global Emotion Detection and Recognition by: Service (Value)
        • 5.2.4.1. Storage and maintenance
        • 5.2.4.2. Consulting and integration
      • 5.2.5. Global Emotion Detection and Recognition Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Emotion Detection and Recognition (Price)
  • 6. Emotion Detection and Recognition: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Affectiva (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Beyond Verbal Communication Ltd. (Israel)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Crowd Emotions (United Kingdom)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Emotient (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Emospeech (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Eyeris (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Good Vibrations (The Netherlands)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Kairos AR Inc. (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Noldus (The Netherlands)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. NViso (Switzerland)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Tobii (Sweden)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Emotion Detection and Recognition Sale, by Application, Software Tool, Technology, Service and Region (value and price ) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Emotion Detection and Recognition (Value)
      • 7.2.1. Global Emotion Detection and Recognition by: Application (Value)
        • 7.2.1.1. Enterprises
        • 7.2.1.2. Defense and Security Agencies
        • 7.2.1.3. Commercial
        • 7.2.1.4. Industrial
        • 7.2.1.5. Other
      • 7.2.2. Global Emotion Detection and Recognition by: Software Tool (Value)
        • 7.2.2.1. Bio Sensing Software Tools and Apps
        • 7.2.2.2. Facial Expression Recognition
        • 7.2.2.3. Speech and Voice Recognition
      • 7.2.3. Global Emotion Detection and Recognition by: Technology (Value)
        • 7.2.3.1. Bio Sensors Technology
        • 7.2.3.2. Pattern Recognition
        • 7.2.3.3. Natural Language Processing (NLP)
        • 7.2.3.4. Feature Extraction and 3D Modelling
        • 7.2.3.5. Machine Learning
        • 7.2.3.6. Others
      • 7.2.4. Global Emotion Detection and Recognition by: Service (Value)
        • 7.2.4.1. Storage and maintenance
        • 7.2.4.2. Consulting and integration
      • 7.2.5. Global Emotion Detection and Recognition Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Emotion Detection and Recognition (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Emotion Detection and Recognition: by Application(USD Billion)
  • Table 2. Emotion Detection and Recognition Enterprises , by Region USD Billion (2013-2018)
  • Table 3. Emotion Detection and Recognition Defense and Security Agencies , by Region USD Billion (2013-2018)
  • Table 4. Emotion Detection and Recognition Commercial , by Region USD Billion (2013-2018)
  • Table 5. Emotion Detection and Recognition Industrial , by Region USD Billion (2013-2018)
  • Table 6. Emotion Detection and Recognition Other , by Region USD Billion (2013-2018)
  • Table 7. Emotion Detection and Recognition: by Software Tool(USD Billion)
  • Table 8. Emotion Detection and Recognition Bio Sensing Software Tools and Apps , by Region USD Billion (2013-2018)
  • Table 9. Emotion Detection and Recognition Facial Expression Recognition , by Region USD Billion (2013-2018)
  • Table 10. Emotion Detection and Recognition Speech and Voice Recognition , by Region USD Billion (2013-2018)
  • Table 11. Emotion Detection and Recognition: by Technology(USD Billion)
  • Table 12. Emotion Detection and Recognition Bio Sensors Technology , by Region USD Billion (2013-2018)
  • Table 13. Emotion Detection and Recognition Pattern Recognition , by Region USD Billion (2013-2018)
  • Table 14. Emotion Detection and Recognition Natural Language Processing (NLP) , by Region USD Billion (2013-2018)
  • Table 15. Emotion Detection and Recognition Feature Extraction and 3D Modelling , by Region USD Billion (2013-2018)
  • Table 16. Emotion Detection and Recognition Machine Learning , by Region USD Billion (2013-2018)
  • Table 17. Emotion Detection and Recognition Others , by Region USD Billion (2013-2018)
  • Table 18. Emotion Detection and Recognition: by Service(USD Billion)
  • Table 19. Emotion Detection and Recognition Storage and maintenance , by Region USD Billion (2013-2018)
  • Table 20. Emotion Detection and Recognition Consulting and integration , by Region USD Billion (2013-2018)
  • Table 21. South America Emotion Detection and Recognition, by Country USD Billion (2013-2018)
  • Table 22. South America Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 23. South America Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 24. South America Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 25. South America Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 26. Brazil Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 27. Brazil Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 28. Brazil Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 29. Brazil Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 30. Argentina Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 31. Argentina Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 32. Argentina Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 33. Argentina Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 34. Rest of South America Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 35. Rest of South America Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 36. Rest of South America Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 37. Rest of South America Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 38. Asia Pacific Emotion Detection and Recognition, by Country USD Billion (2013-2018)
  • Table 39. Asia Pacific Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 40. Asia Pacific Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 41. Asia Pacific Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 42. Asia Pacific Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 43. China Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 44. China Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 45. China Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 46. China Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 47. Japan Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 48. Japan Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 49. Japan Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 50. Japan Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 51. India Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 52. India Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 53. India Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 54. India Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 55. South Korea Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 56. South Korea Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 57. South Korea Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 58. South Korea Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 59. Taiwan Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 60. Taiwan Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 61. Taiwan Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 62. Taiwan Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 63. Australia Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 64. Australia Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 65. Australia Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 66. Australia Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 67. Rest of Asia-Pacific Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 68. Rest of Asia-Pacific Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 69. Rest of Asia-Pacific Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 70. Rest of Asia-Pacific Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 71. Europe Emotion Detection and Recognition, by Country USD Billion (2013-2018)
  • Table 72. Europe Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 73. Europe Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 74. Europe Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 75. Europe Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 76. Germany Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 77. Germany Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 78. Germany Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 79. Germany Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 80. France Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 81. France Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 82. France Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 83. France Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 84. Italy Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 85. Italy Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 86. Italy Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 87. Italy Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 88. United Kingdom Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 89. United Kingdom Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 90. United Kingdom Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 91. United Kingdom Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 92. Netherlands Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 93. Netherlands Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 94. Netherlands Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 95. Netherlands Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 96. Rest of Europe Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 97. Rest of Europe Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 98. Rest of Europe Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 99. Rest of Europe Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 100. MEA Emotion Detection and Recognition, by Country USD Billion (2013-2018)
  • Table 101. MEA Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 102. MEA Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 103. MEA Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 104. MEA Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 105. Middle East Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 106. Middle East Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 107. Middle East Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 108. Middle East Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 109. Africa Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 110. Africa Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 111. Africa Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 112. Africa Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 113. North America Emotion Detection and Recognition, by Country USD Billion (2013-2018)
  • Table 114. North America Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 115. North America Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 116. North America Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 117. North America Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 118. United States Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 119. United States Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 120. United States Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 121. United States Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 122. Canada Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 123. Canada Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 124. Canada Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 125. Canada Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 126. Mexico Emotion Detection and Recognition, by Application USD Billion (2013-2018)
  • Table 127. Mexico Emotion Detection and Recognition, by Software Tool USD Billion (2013-2018)
  • Table 128. Mexico Emotion Detection and Recognition, by Technology USD Billion (2013-2018)
  • Table 129. Mexico Emotion Detection and Recognition, by Service USD Billion (2013-2018)
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Emotion Detection and Recognition: by Application(USD Billion)
  • Table 142. Emotion Detection and Recognition Enterprises , by Region USD Billion (2019-2024)
  • Table 143. Emotion Detection and Recognition Defense and Security Agencies , by Region USD Billion (2019-2024)
  • Table 144. Emotion Detection and Recognition Commercial , by Region USD Billion (2019-2024)
  • Table 145. Emotion Detection and Recognition Industrial , by Region USD Billion (2019-2024)
  • Table 146. Emotion Detection and Recognition Other , by Region USD Billion (2019-2024)
  • Table 147. Emotion Detection and Recognition: by Software Tool(USD Billion)
  • Table 148. Emotion Detection and Recognition Bio Sensing Software Tools and Apps , by Region USD Billion (2019-2024)
  • Table 149. Emotion Detection and Recognition Facial Expression Recognition , by Region USD Billion (2019-2024)
  • Table 150. Emotion Detection and Recognition Speech and Voice Recognition , by Region USD Billion (2019-2024)
  • Table 151. Emotion Detection and Recognition: by Technology(USD Billion)
  • Table 152. Emotion Detection and Recognition Bio Sensors Technology , by Region USD Billion (2019-2024)
  • Table 153. Emotion Detection and Recognition Pattern Recognition , by Region USD Billion (2019-2024)
  • Table 154. Emotion Detection and Recognition Natural Language Processing (NLP) , by Region USD Billion (2019-2024)
  • Table 155. Emotion Detection and Recognition Feature Extraction and 3D Modelling , by Region USD Billion (2019-2024)
  • Table 156. Emotion Detection and Recognition Machine Learning , by Region USD Billion (2019-2024)
  • Table 157. Emotion Detection and Recognition Others , by Region USD Billion (2019-2024)
  • Table 158. Emotion Detection and Recognition: by Service(USD Billion)
  • Table 159. Emotion Detection and Recognition Storage and maintenance , by Region USD Billion (2019-2024)
  • Table 160. Emotion Detection and Recognition Consulting and integration , by Region USD Billion (2019-2024)
  • Table 161. South America Emotion Detection and Recognition, by Country USD Billion (2019-2024)
  • Table 162. South America Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 163. South America Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 164. South America Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 165. South America Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 166. Brazil Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 167. Brazil Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 168. Brazil Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 169. Brazil Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 170. Argentina Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 171. Argentina Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 172. Argentina Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 173. Argentina Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 174. Rest of South America Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 175. Rest of South America Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 176. Rest of South America Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 177. Rest of South America Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 178. Asia Pacific Emotion Detection and Recognition, by Country USD Billion (2019-2024)
  • Table 179. Asia Pacific Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 180. Asia Pacific Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 181. Asia Pacific Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 182. Asia Pacific Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 183. China Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 184. China Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 185. China Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 186. China Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 187. Japan Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 188. Japan Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 189. Japan Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 190. Japan Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 191. India Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 192. India Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 193. India Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 194. India Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 195. South Korea Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 196. South Korea Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 197. South Korea Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 198. South Korea Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 199. Taiwan Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 200. Taiwan Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 201. Taiwan Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 202. Taiwan Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 203. Australia Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 204. Australia Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 205. Australia Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 206. Australia Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 207. Rest of Asia-Pacific Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 208. Rest of Asia-Pacific Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 209. Rest of Asia-Pacific Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 210. Rest of Asia-Pacific Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 211. Europe Emotion Detection and Recognition, by Country USD Billion (2019-2024)
  • Table 212. Europe Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 213. Europe Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 214. Europe Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 215. Europe Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 216. Germany Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 217. Germany Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 218. Germany Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 219. Germany Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 220. France Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 221. France Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 222. France Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 223. France Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 224. Italy Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 225. Italy Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 226. Italy Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 227. Italy Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 228. United Kingdom Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 229. United Kingdom Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 230. United Kingdom Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 231. United Kingdom Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 232. Netherlands Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 233. Netherlands Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 234. Netherlands Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 235. Netherlands Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 236. Rest of Europe Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 237. Rest of Europe Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 238. Rest of Europe Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 239. Rest of Europe Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 240. MEA Emotion Detection and Recognition, by Country USD Billion (2019-2024)
  • Table 241. MEA Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 242. MEA Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 243. MEA Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 244. MEA Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 245. Middle East Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 246. Middle East Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 247. Middle East Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 248. Middle East Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 249. Africa Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 250. Africa Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 251. Africa Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 252. Africa Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 253. North America Emotion Detection and Recognition, by Country USD Billion (2019-2024)
  • Table 254. North America Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 255. North America Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 256. North America Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 257. North America Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 258. United States Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 259. United States Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 260. United States Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 261. United States Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 262. Canada Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 263. Canada Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 264. Canada Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 265. Canada Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 266. Mexico Emotion Detection and Recognition, by Application USD Billion (2019-2024)
  • Table 267. Mexico Emotion Detection and Recognition, by Software Tool USD Billion (2019-2024)
  • Table 268. Mexico Emotion Detection and Recognition, by Technology USD Billion (2019-2024)
  • Table 269. Mexico Emotion Detection and Recognition, by Service USD Billion (2019-2024)
  • Table 270. Research Programs/Design for This Report
  • Table 271. Key Data Information from Secondary Sources
  • Table 272. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Emotion Detection and Recognition: by Application USD Billion (2013-2018)
  • Figure 5. Global Emotion Detection and Recognition: by Software Tool USD Billion (2013-2018)
  • Figure 6. Global Emotion Detection and Recognition: by Technology USD Billion (2013-2018)
  • Figure 7. Global Emotion Detection and Recognition: by Service USD Billion (2013-2018)
  • Figure 8. South America Emotion Detection and Recognition Share (%), by Country
  • Figure 9. Asia Pacific Emotion Detection and Recognition Share (%), by Country
  • Figure 10. Europe Emotion Detection and Recognition Share (%), by Country
  • Figure 11. MEA Emotion Detection and Recognition Share (%), by Country
  • Figure 12. North America Emotion Detection and Recognition Share (%), by Country
  • Figure 13. Global Emotion Detection and Recognition share by Players 2018 (%)
  • Figure 14. Global Emotion Detection and Recognition share by Players (Top 3) 2018(%)
  • Figure 15. Global Emotion Detection and Recognition share by Players (Top 5) 2018(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Affectiva (United States) Revenue, Net Income and Gross profit
  • Figure 18. Affectiva (United States) Revenue: by Geography 2018
  • Figure 19. Beyond Verbal Communication Ltd. (Israel) Revenue, Net Income and Gross profit
  • Figure 20. Beyond Verbal Communication Ltd. (Israel) Revenue: by Geography 2018
  • Figure 21. Crowd Emotions (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 22. Crowd Emotions (United Kingdom) Revenue: by Geography 2018
  • Figure 23. Emotient (United States) Revenue, Net Income and Gross profit
  • Figure 24. Emotient (United States) Revenue: by Geography 2018
  • Figure 25. Emospeech (United States) Revenue, Net Income and Gross profit
  • Figure 26. Emospeech (United States) Revenue: by Geography 2018
  • Figure 27. Eyeris (United States) Revenue, Net Income and Gross profit
  • Figure 28. Eyeris (United States) Revenue: by Geography 2018
  • Figure 29. Good Vibrations (The Netherlands) Revenue, Net Income and Gross profit
  • Figure 30. Good Vibrations (The Netherlands) Revenue: by Geography 2018
  • Figure 31. Kairos AR Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Kairos AR Inc. (United States) Revenue: by Geography 2018
  • Figure 33. Noldus (The Netherlands) Revenue, Net Income and Gross profit
  • Figure 34. Noldus (The Netherlands) Revenue: by Geography 2018
  • Figure 35. NViso (Switzerland) Revenue, Net Income and Gross profit
  • Figure 36. NViso (Switzerland) Revenue: by Geography 2018
  • Figure 37. Tobii (Sweden) Revenue, Net Income and Gross profit
  • Figure 38. Tobii (Sweden) Revenue: by Geography 2018
  • Figure 39. Global Emotion Detection and Recognition: by Application USD Billion (2013-2018)
  • Figure 40. Global Emotion Detection and Recognition: by Software Tool USD Billion (2013-2018)
  • Figure 41. Global Emotion Detection and Recognition: by Technology USD Billion (2013-2018)
  • Figure 42. Global Emotion Detection and Recognition: by Service USD Billion (2013-2018)
  • Figure 43. South America Emotion Detection and Recognition Share (%), by Country
  • Figure 44. Asia Pacific Emotion Detection and Recognition Share (%), by Country
  • Figure 45. Europe Emotion Detection and Recognition Share (%), by Country
  • Figure 46. MEA Emotion Detection and Recognition Share (%), by Country
  • Figure 47. North America Emotion Detection and Recognition Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Affectiva (United States)
  • Beyond Verbal Communication Ltd. (Israel)
  • Crowd Emotions (United Kingdom)
  • Emotient (United States)
  • Emospeech (United States)
  • Eyeris (United States)
  • Good Vibrations (The Netherlands)
  • Kairos AR Inc. (United States)
  • Noldus (The Netherlands)
  • nViso (Switzerland)
  • Tobii (Sweden)
Additional players considered in the study are as follows:
RealEyes (England) , Sentiance (Belgium) , Sightcorp (The Netherlands)
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