Emotion Detection and Recognition Market - By End-User (Government, Retail, Healthcare, and Entertainment), By Component (Software and Services), And By Region- Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Published Date: 14-May-2021 Category: Technology & Media Report Format : PDF Pages: 124 Report Code: ZMR-6262 Status : Published

The global Emotion Detection and Recognition market accrued earnings worth approximately 18.9(USD Billion) in 2019 and is predicted to gain revenue of about 36.1(USD Billion) by 2026, is set to record a CAGR of nearly 11.2% over the period from 2020 to 2026.

Description

The global Emotion Detection and Recognition market accrued earnings worth approximately 18.9(USD Billion) in 2019 and is predicted to gain revenue of about 36.1(USD Billion) by 2026, is set to record a CAGR of nearly 11.2% over the period from 2020 to 2026. The report offers assessment and analysis of the Emotion Detection and Recognition market on a global and regional level. The study offers a comprehensive assessment of the market competition, constraints, revenue estimates, opportunities, evolving trends, and industry-validated data. The report provides historical data from 2017 to 2019 along with a forecast from 2020 to 2026 based on revenue (USD Billion).

Report Scope:

Emotion Detection and Recognition Market : Overview

Emotion detection & recognition is a technique for detecting as well as recognizing human emotions through incorporating of technical abilities such as bio-sensing, pattern recognition, facial recognition, machine learning, and speech & voice recognition. Furthermore, the EDR or emotion detection & recognition device helps in determining the key human emotions such as fear, happiness, anger, joy, and disgust through use of machine learning algorithms & sensors. These devices are utilized in myriad domains such as marketing, robotics, education, and entertainment requiring human emotions. With new computing technologies and IoT, the market for emotion detection and recognition is projected to gain traction over the assessment period. Furthermore, emotion detection & recognition tools make use of EEG, ECG, GSR or Galvanic Skin Response, Heart Rate Variability, Respiration Rate Analysis, Skin Temperature Measurements, EMG, and EOG for measuring electric impulses occurring in the human nervous system due to emotions along with assessing the changes occurring in the human nervous system cause as a result of emotions.

Emotion Detection and Recognition Market Growth Dynamics

With growing trend of using smart systems and demand for novel technologies having ability for assessing emotional quotient of consumers to judge their buying behaviour & purchasing patterns as well as preferences will drive the market growth. Emotion detection and recognition tools are used in robotics for creating service robots that can understand human emotions and interact with them effectively. Additionally, these tools make use of machine learning, AI, NLP techniques, and deep learning techniques and other algorithms for creating such smart robots. Apparently, the emotion detection & recognition systems are used in education for enhancing the learning curve of the students & their perception, thereby helping the teacher in effectively transferring the knowledge to students. All these aforementioned aspects are anticipated to create lucrative growth avenues for emotion detection and recognition industry over the projected timeframe.

Furthermore, these technologies are used by the promoters for marketing their services or products through developing of special advertisements based on emotional state of the potential consumer during different intervals of time. In entertainment sector, emotion detection and recognition tool assist the players in targeting the audience for optimizing their profit margins. This, in turn, will boost the market trends.

North America To Embellish Market Size Over 2020-2026

The regional market growth during the assessment period is credited to massive use of speech & voice recognizing tools by customers & firms in the countries like Canada and the U.S. In addition to this, breakthroughs in voice recognition systems for effectively detecting & analyzing the emotional states in the people along with its use for diagnosing autism in children as well as emotional disturbances in them will drive the regional market trends. Presence of giant players in the countries such as the U.S. will steer the expansion of emotion detection and recognition industry in North America over the years ahead.

Key players influencing the market growth and profiled in the report are NEC Global (Japan), Sony Depthsense (Belgium), Numenta (U.S.),  Beyond Verbal (Israel), Ayonix (Japan), Elliptic Labs (Norway), IBM (U.S.), Intel (U.S.), Cognitec Systems (Germany), Eyeris (U.S.), Microsoft (U.S.), Apple (U.S.), Crowd Emotion (UK), Kairos (U.S.), Gesturetek (Canada), Noldus Technology (Netherlands), Google (U.S.), Sentiance (Belgium), Tobii (Sweden), Cipia Vision Ltd (Formerly Eyesight Technologies) (Israel), Sightcorp (Holland), iMotions (Denmark), PointGrab (U.S.), Affectiva (U.S.), nViso (Switzerland), and Pyreos (UK).

The global Emotion Detection and Recognition Market is segmented as follows:

By End-User

  • Government
  • Retail
  • Healthcare
  • Entertainment

By Component

  • Software
  • Services

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodulogy
      • 1.3.1. Market Research Type
      • 1.3.2. Market Research Methodulogy
  • Chapter 2. Executive Summary
    • 2.1. Emotion Detection and Recognition Market, 2016–2026(USD Billion)
    • 2.2. Emotion Detection and Recognition Market: Snapshot
  • Chapter 3. Global Emotion Detection and Recognition Market– End-User Analysis
    • 3.1. Emotion Detection and Recognition Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. With growing trend of using smart systems and demand for novel technulogies having ability for assessing emotional quotient of consumers to judge their buying behaviour & purchasing patterns as well as preferences will drive the business surge.
      • 3.2.2. In entertainment sector, emotion detection and recognition toul assist the players in targeting the audience for optimizing their profit margins. This, in turn, will boost the market trends.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By End-User
      • 3.4.2. Market attractiveness analysis By Component
  • Chapter 4. Global Emotion Detection and Recognition Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global Emotion Detection and Recognition Market: company market share, 2019
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Product launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global Emotion Detection and Recognition Market– End-User Analysis
    • 5.1. Global Emotion Detection and Recognition Market overview: By End-User
      • 5.1.1. Global Emotion Detection and Recognition Market share, By End-User , 2019 and 2026
    • 5.2. Government
      • 5.2.1. Global Emotion Detection and Recognition Market by Government, 2016–2026(USD Billion)
    • 5.3. Retail
      • 5.3.1. Global Emotion Detection and Recognition Market by Retail, 2016–2026(USD Billion)
    • 5.4. Healthcare
      • 5.4.1. Global Emotion Detection and Recognition Market by Healthcare, 2016–2026(USD Billion)
    • 5.5. Entertainment
      • 5.5.1. Global Emotion Detection and Recognition Market by Entertainment, 2016–2026(USD Billion)
  • Chapter 6. Global Emotion Detection and Recognition Market– Component Analysis
    • 6.1. Global Emotion Detection and Recognition Market overview: By Component
      • 6.1.1. Global Emotion Detection and Recognition Market share, By Component, 2019 and 2026
    • 6.2. Software
      • 6.2.1. Global Emotion Detection and Recognition Market by Software, 2016–2026(USD Billion)
    • 6.3. Services
      • 6.3.1. Global Emotion Detection and Recognition Market by Services, 2016–2026(USD Billion)
  • Chapter 7. Company Profiles
    • 7.1. NEC Global (Japan),
      • 7.1.1. Overview
      • 7.1.2. Financials
      • 7.1.3. Product Portfulio
      • 7.1.4. Business Strategy
      • 7.1.5. Recent Developments
    • 7.2. Sony Depthsense (Belgium),
      • 7.2.1. Overview
      • 7.2.2. Financials
      • 7.2.3. Product Portfulio
      • 7.2.4. Business Strategy
      • 7.2.5. Recent Developments
    • 7.3. Suligenix Inc.
      • 7.3.1. Overview
      • 7.3.2. Financials
      • 7.3.3. Product Portfulio
      • 7.3.4. Business Strategy
      • 7.3.5. Recent Development
    • 7.4. Numenta (U.S.)
      • 7.4.1. Overview
      • 7.4.2. Financials
      • 7.4.3. Product Portfulio
      • 7.4.4. Business Strategy
      • 7.4.5. Recent Development
    • 7.5. Beyond Verbal (Israel)
      • 7.5.1. Overview
      • 7.5.2. Financials
      • 7.5.3. Product Portfulio
      • 7.5.4. Business Strategy
      • 7.5.5. Recent Development
    • 7.6. Ayonix (Japan)
      • 7.6.1. Overview
      • 7.6.2. Financials
      • 7.6.3. Product Portfulio
      • 7.6.4. Business Strategy
      • 7.6.5. Recent Development
    • 7.7. Elliptic Labs (Norway)
      • 7.7.1. Overview
      • 7.7.2. Financials
      • 7.7.3. Product Portfulio
      • 7.7.4. Business Strategy
      • 7.7.5. Recent Development
    • 7.8. IBM (U.S.)
      • 7.8.1. Overview
      • 7.8.2. Financials
      • 7.8.3. Product Portfulio
      • 7.8.4. Business Strategy
      • 7.8.5. Recent Development
    • 7.9. Intel (U.S.)
      • 7.9.1. Overview
      • 7.9.2. Financials
      • 7.9.3. Product Portfulio
      • 7.9.4. Business Strategy
      • 7.9.5. Recent Development
    • 7.10. Cognitec Systems (Germany)
      • 7.10.1. Overview
      • 7.10.2. Financials
      • 7.10.3. Product Portfulio
      • 7.10.4. Business Strategy
      • 7.10.5. Recent Development
    • 7.11. Eyeris (U.S.)
      • 7.11.1. Overview
      • 7.11.2. Financials
      • 7.11.3. Product Portfulio
      • 7.11.4. Business Strategy
      • 7.11.5. Recent Development
    • 7.12. Microsoft (U.S.)
      • 7.12.1. Overview
      • 7.12.2. Financials
      • 7.12.3. Product Portfulio
      • 7.12.4. Business Strategy
      • 7.12.5. Recent Development
    • 7.13. Apple (U.S.)
      • 7.13.1. Overview
      • 7.13.2. Financials
      • 7.13.3. Product Portfulio
      • 7.13.4. Business Strategy
      • 7.13.5. Recent Development
    • 7.14. Crowd Emotion (UK)
      • 7.14.1. Overview
      • 7.14.2. Financials
      • 7.14.3. Product Portfulio
      • 7.14.4. Business Strategy
      • 7.14.5. Recent Development
    • 7.15. Kairos (U.S.)
      • 7.15.1. Overview
      • 7.15.2. Financials
      • 7.15.3. Product Portfulio
      • 7.15.4. Business Strategy
      • 7.15.5. Recent Development
    • 7.16. Gesturetek (Canada)
      • 7.16.1. Overview
      • 7.16.2. Financials
      • 7.16.3. Product Portfulio
      • 7.16.4. Business Strategy
      • 7.16.5. Recent Development
    • 7.17. Nuldus Technulogy (Netherlands)
      • 7.17.1. Overview
      • 7.17.2. Financials
      • 7.17.3. Product Portfulio
      • 7.17.4. Business Strategy
      • 7.17.5. Recent Development
    • 7.18. Google (U.S.)
      • 7.18.1. Overview
      • 7.18.2. Financials
      • 7.18.3. Product Portfulio
      • 7.18.4. Business Strategy
      • 7.18.5. Recent Development
    • 7.19. Sentiance (Belgium)
      • 7.19.1. Overview
      • 7.19.2. Financials
      • 7.19.3. Product Portfulio
      • 7.19.4. Business Strategy
      • 7.19.5. Recent Development
    • 7.20. Tobii (Sweden)
      • 7.20.1. Overview
      • 7.20.2. Financials
      • 7.20.3. Product Portfulio
      • 7.20.4. Business Strategy
      • 7.20.5. Recent Development
    • 7.21. Cipia Vision Ltd (Formerly Eyesight Technulogies) (Israel)
      • 7.21.1. Overview
      • 7.21.2. Financials
      • 7.21.3. Product Portfulio
      • 7.21.4. Business Strategy
      • 7.21.5. Recent Development
    • 7.22. Sightcorp (Hulland)
      • 7.22.1. Overview
      • 7.22.2. Financials
      • 7.22.3. Product Portfulio
      • 7.22.4. Business Strategy
      • 7.22.5. Recent Development
    • 7.23. iMotions (Denmark)
      • 7.23.1. Overview
      • 7.23.2. Financials
      • 7.23.3. Product Portfulio
      • 7.23.4. Business Strategy
      • 7.23.5. Recent Development
    • 7.24. PointGrab (U.S.)
      • 7.24.1. Overview
      • 7.24.2. Financials
      • 7.24.3. Product Portfulio
      • 7.24.4. Business Strategy
      • 7.24.5. Recent Development
    • 7.25. Affectiva (U.S.)
      • 7.25.1. Overview
      • 7.25.2. Financials
      • 7.25.3. Product Portfulio
      • 7.25.4. Business Strategy
      • 7.25.5. Recent Development
    • 7.26. nViso (Switzerland)
      • 7.26.1. Overview
      • 7.26.2. Financials
      • 7.26.3. Product Portfulio
      • 7.26.4. Business Strategy
      • 7.26.5. Recent Development
    • 7.27. Pyreos (UK)
      • 7.27.1. Overview
      • 7.27.2. Financials
      • 7.27.3. Product Portfulio
      • 7.27.4. Business Strategy
      • 7.27.5. Recent Development

Methodology


Frequently Asked Questions

With growing trend of using smart systems and demand for novel technologies having ability for assessing emotional quotient of consumers to judge their buying behaviour & purchasing patterns as well as preferences will drive the market growth. Emotion detection and recognition tools are used in robotics for creating service robots that can understand human emotions and interact with them effectively. Additionally, these tools make use of machine learning, AI, NLP techniques, and deep learning techniques and other algorithms for creating such smart robots. Apparently, the emotion detection & recognition systems are used in education for enhancing the learning curve of the students & their perception, thereby helping the teacher in effectively transferring the knowledge to students. All these aforementioned aspects are anticipated to create lucrative growth avenues for emotion detection and recognition industry over the projected timeframe.

Furthermore, these technologies are used by the promoters for marketing their services or products through developing of special advertisements based on emotional state of the potential consumer during different intervals of time.  

According to Zion market research report, the global Emotion Detection and Recognition market accrued earnings worth approximately 18.9(USD Billion) in 2019 and is predicted to gain revenue of about 36.1(USD Billion) by 2026, is set to record a CAGR of nearly 11.2% over the period from 2020 to 2026.

North America will contribute lucratively towards the global market size over the estimated timeline. The regional market surge is due to massive use of speech & voice recognizing tools by customers & firms in the countries like Canada and the U.S. In addition to this, breakthroughs in voice recognition systems for effectively detecting & analyzing the emotional states in the people along with its use for diagnosing autism in children as well as emotional disturbances in them will drive the regional market trends. Presence of giant players in the countries such as the U.S. will steer the expansion of emotion detection and recognition industry in North America over the years ahead.

 

The key market participants include NEC Global (Japan), Sony Depthsense (Belgium), Numenta (U.S.), Beyond Verbal (Israel), Ayonix (Japan), Elliptic Labs (Norway), IBM (U.S.), Intel (U.S.), Cognitec Systems (Germany), Eyeris (U.S.), Microsoft (U.S.), Apple (U.S.), Crowd Emotion (UK), Kairos (U.S.), Gesturetek (Canada), Noldus Technology (Netherlands), Google (U.S.), Sentiance (Belgium), Tobii (Sweden), Cipia Vision Ltd (Formerly Eyesight Technologies) (Israel), Sightcorp (Holland), iMotions (Denmark), PointGrab (U.S.), Affectiva (U.S.), nViso (Switzerland), and Pyreos (UK).
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