The Global Emotion Detection and Recognition Market is projected to reach a value of over USD 88.3 billion by 2027 at a CAGR of around 21.2%.
The emotion recognition is refers to a process of identifying the human emotion. Also, it a technique which helps to provide advance image processing as well as a features to read an emotion such as anger, fear, sadness, joy and so on. Whereas, the emotion detection and recognition (EDR) is a method which is being used for recognition and detection of the human emotion, with the help of technological capabilities that includes facial recognition, speech & voice recognition, and pattern recognition.
Hence, this is being implemented to know the about a person’s feeling with the help of a facial image or video. These trend in the technology may lead to boost the growth of the market in the forecast period.
Market Driver:
With the growing adoption of wearable technology is witness to boost the growth of the market in the forecast period. Whereas, the wearable technology contain sensors for tracking information which helps to detect the physical traces such as skin temperature, blood pressure as well as the heart rate. As per the Cisco Systems, the number of connected wearable devices is estimated to reach more than 1000 million by 2022. Moreover, the Huami’s latest smartwatch, Amazfit GTS is powered by its Huami Bio Tracker Optical sensor, enabling 24-hour precision heart rate monitoring
Furthermore, the wearable are majorly getting equipped with ECG monitors and can measure electrocardiograms as well as communicate the readings to physicians for diagnosis, and for emergency alerts. Hence, the human emotions such as facial expressions, body postures, and gestures, are accompanied by physiological changes, which can measure with the wearable technology. These growing trend will led to boost the growth of the market in the forecast period.
Market Restraints:
One of the major key concern of the market high cost issue which may hamper the market growth. Whereas, the emotion detection and recognition system is performing various processes to detect the emotions. Incorporation of such processes and function into a system lead to create a heavy cost to the system. Moreover, the emotion detection application is of different types which includes functional as well as nonfunctional. The functional required face images, image pre-processing, whereas the non-functional required the usability, and scalability.
Hence, these will lead to create a major impact for the growth of the emotion detection and recognition market in the forecast period.
The report on the emotion detection and recognition market covers a deep dive analysis of historic, recent and current market trends. Furthermore, market share/ranking analysis of key players, market dynamics, competition landscape, country-wise analysis for each region covered and the entire supply chain dynamics are covered through the below segmentation.
Report Features |
Specifics |
---|---|
Historical/Estimated/Forecasted Market Size Years |
2019-2027 |
Base Year for Market Calculation |
2020 |
Forecasted Period |
2021-2027 (2021 estimated year, forecasted up to 2027) |
Measured Units |
Value (USD Million) |
Segments Included |
Software Tool, Technology, Services, Application, End-User, and Region |
Regional Coverage |
North America, Asia-Pacific, Europe, Middle East & Africa, South America |
For the scope of the report, In-depth segmentation is offered by Forencis Research
Emotion Detection and Recognition Market, by Software Tool
Emotion Detection and Recognition Market, by Technology
Emotion Detection and Recognition Market, by Service
Emotion Detection and Recognition Market, by Application
Emotion Detection and Recognition Market, by End-User
Emotion Detection and Recognition Market, by Region
60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE EMOTION DETECTION AND RECOGNITION MARKET STUDY
Note1: Tentative table of contents, may get updated during the course of research.
Note2: Company financial information is subject to availability in public domain
60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE STUDY