Emotion detection and recognition markets, 2027

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DUBLIN, October 7, 2021 / PRNewswire / – The “Market for the detection and recognition of emotions 2021-2027” report was added to ResearchAndMarkets.com offer.

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Emotion Detection and Recognition Market Expected to Grow at a Rate of 11.2% CAGR by 2027

The detection and recognition of emotions finds a wide range of applications in intelligence and security systems. Moreover, advancement in technology is expected to be a major factor in promoting the global market for emotion detection and recognition technologies.

In addition, the growing popularity of wearable technology is expected to generate potential opportunities for major competitors in the global market. The substantial growth in Internet of Things technology and the immense growing penetration of the smartphone globally is also expected to drive the growth of the global market in the coming years.

On the other hand, the huge cost incurred to produce emotion detection and recognition systems is likely to restrain the growth of the market. Emotion detection and recognition is a technology that recognizes the behavior and emotions of a human being by integrating image processing techniques.

Applicable software tools to meet the purpose of detection and recognition can detect slight changes in the face. This technique has a major role in monitoring the position and gestures of anger, joy, fear and sadness.

The facial expressions segment is expected to have the highest growth rate in the coming years by solution. Facial expressions are a combination of an individual’s intention, personality, cognitive state, psychology and are generally used to communicate messages in interpersonal relationships.

Facial expressions are also very useful gestures to respond to a specific speech. Facial recognition software is an essential part of the emotion detection and recognition system because it facilitates the recognition of emotions or responses from facial expressions and generates results in real time.

According to the application, marketing and advertising have the key application of the emotion detection and recognition system. Knowing how customers feel has become a key business goal. Businesses need to stay aware of the customer’s perspective when making important decisions. Deploying emotion detection and recognition technology in corporate marketing and advertising is key to exploring the customer’s perspective.

Based on technology, the biosensing solutions segment dominates the market. Since biosensor technology is crucial for sensing and recognizing emotions, it offers essential information about the emotional state of humans. The use of this technology is believed to be useful in detecting the hidden physiological or emotional states of an individual, thereby overcoming the constraints of facial or gesture recognition systems used to capture emotions.

The industrial segment is growing rapidly during the forecast period. Industrial end users deploy emotion detection and recognition software to reduce or restrict fraudulent activity. This technology can be integrated into devices and used among other automotive industries to make emotional contact with users and track information with emotion sensors to better understand human emotions and improve the customer experience.

In terms of geography, North America has the greatest contribution to the market. Strategic investments, geographic presence, partnerships and significant research and development (R&D) activities contribute to the high deployment of emotion detection and recognition solutions in the region.

The growth of speech-based emotion detection systems for analyzing emotional states is a key factor in boosting the global emotional detection and recognition market due to recent developments in the accuracy of speech recognition systems. Speech recognition is used in several application areas, such as call centers, to categorize calls by tone of voice and analyze customer emotions based on pitch.

This report includes the major vendors operating in the market – Beyond Verbal Communication Ltd., Noldus Information Technology, Crowdemotion Ltd., Kairos AR, Inc., Sightcorp BV, Q3 technologies, Inc, Eyeris, Nviso SA, Realeyes and Paravision Inc.

Main topics covered:

1. Summary

2. Industry outlook
2.1. Industry overview
2.2. Industry trends

3. Market overview
3.1. Market definition
3.2. Market outlook
3.2.1. Carrying Five Forces
3.3. Related markets

4. Market characteristics
4.1. Market Snapshot
4.2. Market segmentation
4.3. Market dynamics
4.3.1. Conductors
4.3.2. Constraints
4.3.3. Opportunities
4.4. Scrutineer – Impact assessment

5. Solution: market size and analysis
5.1. Overview
5.2. Recognition of facial expressions
5.3. Biodetection solution
5.4. Voice and speech recognition
5.5. Recognition of gestures and postures

6. Application: market size and analysis
6.1. Overview
6.2. Law enforcement, surveillance and monitoring
6.3. Entertainment and consumer electronics
6.4. Marketing Advertising
6.5. Others

7. Technology: market size and analysis
7.1. Overview
7.2. Feature extraction and 3D modeling
7.3. Biosensor technology
7.4. Natural learning processing (NLP)
7.5. Machine learning (ML)
7.6. Other technologies

8. End user: market size and analysis
8.1. Overview
8.2. Commercial
8.3. Industrial
8.4. Defense
8.5. Others

9. Geography: market size and analysis
9.1. Overview
9.2. North America
9.3. Europe
9.4. Asia Pacific
9.5. Rest of the world

10. Competitive landscape
10.1. Comparative analysis of competitors
10.2. Market Developments
10.2.1. Mergers and Acquisitions, Legal, Price, Partnerships
10.2.2. Product launches and execution

11. Supplier profiles

For more information on this report, visit https://www.researchandmarkets.com/r/6thstr

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