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The market is segmented by Software and Services, End-user Vertical, and Geography.
Fastest Growing Market:
The emotion detection and recognition market was valued at USD 17.37 billion in 2019 and is expected to reach a value of USD 128.76 billion by 2025, at a CAGR of 40.46% over the forecast period, (2020 - 2025). Understanding emotions holds significance during the interaction process between humans and machine communication systems. EDR not only improves human and computer interfaces, but also enhances the feedback mechanism actions taken by computers from the users.
Emotion detection and recognition (EDR) is typically identifying human emotion from facial or verbal expression. Now, with the help of AI, NLP, and ML, the machine is made to understand human emotion through various software and act according to it. Various types of software and services are used by different end-user industries to help them understand human emotion in their industry environment without the physical presence of a human being.
|By Software and Services|
|By End-user Vertical|
|Other End-user Verticals|
|Rest of the World|
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The emotion detection and recognition market is consolidated due to a few players accounting for the major market share. Moreover, due to higher investment and demand for skilled technical people, this market entry for new entrants remains challenging. Some of the key players in the market are Affectiva Inc., Emotient Inc. (Apple, Inc.), Tobii AB (Publ), Noldus, Realeyes OU, Kairos.
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Buyers/Consumers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Market Drivers
4.3.1 Growing Internet of Things (IoT) Applications
4.3.2 Need for Advanced Marketing Tools
4.3.3 Growing Adoption of Wearable Devices
4.4 Market Restraints
4.4.1 Privacy Concerns Relating to the Deployment of this Technology
4.4.2 Need for Specialized Hardware
4.5 Technology Snapshot
4.5.1 Machine Learning
4.5.2 Pattern Recognition
4.5.3 Bio Sensors Technology
4.5.4 3D Modelling
4.5.5 Natural Language Processing
5. MARKET SEGMENTATION
5.1 By Software and Services
188.8.131.52 Facial Recognition
184.108.40.206 Speech and Voice Recognition
220.127.116.11 Bio Sensing
5.2 By End-user Vertical
5.2.6 Other End-user Verticals
5.3.1 North America
5.3.4 Rest of the World
6. COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Affectiva Inc.
6.1.2 Emotient Inc. (Apple Inc.)
6.1.3 Tobii AB
6.1.5 Sight Corp.
6.1.6 Realeyes OU
7. INVESTMENT ANALYSIS
8. MARKET OPPORTUNITIES AND FUTURE TRENDS
* List Not Exhaustive