Dublin, October 07, 2021 (GLOBE NEWSWIRE) – The report “Emotion Detection and Recognition Market by Solution, Application, Technology, Machine Learning, and Other Technologies), End-Users and Geography – Global Forecast to 2027” was published added to ResearchAndMarkets.com to offer.
The emotion detection and recognition market is projected to grow by 11.2% CAGR through 2027
Emotion recognition and recognition has a wide range of applications in intelligence and security systems. In addition, technological advancement is expected to be an important factor in fueling the global market for emotion detection and recognition technologies.
In addition, it is estimated that the increasing popularity of wearable technologies presents potential opportunities for major competitors in the world market. The considerable growth of the Internet of Things technology and the immense worldwide spread of the smartphone will also favor the growth of the global market in the next few years.
On the other hand, the enormous costs involved in manufacturing emotion detection and recognition systems are likely to limit market growth. Emotion Detection & Recognition is a technology that recognizes the behavior and emotions of a person through the integration of image processing technologies.
The software tools suitable for the detection and identification purpose can detect slight changes in the face. This technique plays a prominent role in monitoring the position and gestures of anger, joy, fear, and sadness.
Once resolved, the facial expression segment is expected to show the highest growth rate in the coming years. Facial expressions are a combination of a person’s intention, personality, cognitive state, and psychology and are typically used to communicate messages in interpersonal relationships.
Facial expressions are also gestures that are very helpful in responding to a particular speech. Face recognition software is an essential part of the emotion recognition and detection system because it makes it easy to recognize emotions or reactions from facial expressions and generates real-time results.
According to the application, marketing and advertising has the main application of the emotion detection and recognition system. Knowing how customers are feeling has become an important goal in business. Companies need to remain aware of the customer perspective when making important decisions. Using emotion detection and recognition technology in the company’s marketing and advertising is key to exploring the customer perspective.
Based on the technology, the segment of bio-sensing solutions dominates the market. Because biosensors are a crucial component for the recognition and recognition of emotions and provide essential information about the emotional state of humans. The use of this technology is believed to be helpful in capturing the hidden physiological or emotional states of a person, thereby overcoming the limitations of facial or gesture recognition systems used to capture emotions.
The industrial segment shows rapid growth in the forecast period. Industrial end users use emotion detection and detection software to reduce or limit fraudulent activity. This technology can be built into devices and used in other automotive industries to have an emotional touch with the users and track the information with emotion sensors to better understand human emotions and improve the customer experience.
Geographically, North America has the largest contribution to the market. The strategic investments, geographic presence, partnerships and significant research and development (R&D) activities contribute to the high level of use of emotion recognition and recognition solutions in the region.
The growth of speech-based emotion recognition systems for analyzing emotional states is a key factor in propelling the global emotional recognition and recognition market due to the recent developments in the precision of speech recognition systems. Speech recognition is used in several application areas, such as call centers, to categorize calls by voice tone and to analyze customers’ emotions based on pitch.
This report covers the major vendors 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.
Key topics covered:
2. Industry outlook
2.1. Industry overview
2.2. Industry trends
3. Market snapshot
3.1. Market definition
3.2. Market outlook
3.2.1. Porter Five Forces
3.3. Related markets
4. Market characteristics
4.1. Market overview
4.2. Market segmentation
4.3. Market dynamics
4.4. DRO – impact analysis
5th solution: market size & analysis
5.2. Facial expression recognition
5.3. Bio-sensing solution
5.4. Speech and speech recognition
5.5. Gesture and posture recognition
6. Application: Market Size & Analysis
6.2. Law enforcement, surveillance and surveillance
6.3. Entertainment & consumer electronics
6.4. Marketing & Advertising
7. Technology: Market Size & Analysis
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-users: Market size and analysis
9. Geography: Market size and analysis
9.2. North America
9.4. Asia Pacific
9.5. Rest of the world
10. Competitive landscape
10.1. Competitive comparison analysis
10.2. Market developments
10.2.1. Mergers and acquisitions, law, awards, partnerships
10.2.2. Product launches and execution
11. Provider profiles
Please visit https://www.researchandmarkets.com/r/pdg09m for more information on this report
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