The new report titled “Global Emotion Detection and Recognition Market accounted for USD 7.3 billion in 2016 growing at a CAGR of 40.1% during the forecast period of 2017 to 2024”, also the Global Emotion Detection and Recognition Market, By Geography; Technology (Feature Extraction and 3D Modeling, Bio-Sensors Technology, Pattern Recognition, Natural Language Processing, Machine Learning); Software Tool (Bio-Sensing Software Tools & Apps Speech & Voice Recognition); Service; Application Area; End User – Industry Trends and Forecast to 2024
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Definition of Global Emotion Detection and Recognition Market:
Emotion detection and recognition is a technique used in software that allows a program to read the emotions on a human face with the help of advanced image processing technologies. Not only this technology is capable of going through facial expression such as anger, sadness, happiness, and others but also capture subtle body language.
It is widely applicable in enterprises, defense and security agency, commercial, industrial, and others. Advancements in enabling technologies and robust data repository, and strong need to understand consumer behavior may act as the major driver the growth of emotion detection and recognition market.
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On the others side, misinterpretation in analysis of emotions may hamper the market.
- No of pages: 350
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- No of Figures: 60
Segmentation of Global Emotion Detection and Recognition Market:
The global emotion detection and recognition market is segmented on the basis of technology into feature extraction and 3D modeling, bio-sensors technology, pattern recognition, natural language processing, machine learning, and others.
On the basis of software tool, the global emotion detection and recognition market is segmented into bio-sensing software tools and apps, and speech and voice recognition.
On the basis of service, the global emotion detection and recognition market is segmented into storage and maintenance, and consulting and integration.
On the basis of application area, the global emotion detection and recognition market is segmented into marketing and advertising, law enforcement, surveillance, and monitoring, entertainment and consumer electronics.
On the basis of end user, the global emotion detection and recognition market is segmented into enterprises, defense and security agency, commercial, industrial, and others.
On the basis of geography, the global emotion detection and recognition market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific, and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.
In 2017, North America is expected to dominate the market.
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The report for emotion detection and recognition market include detailed vendor level analysis for market shares in 2016 for Global, North America, Europe, Asia Pacific, Middle East and Africa and South America specifically. Also impact and development analysis of key vendors is registered in the market and factored on the basis of Vendor Positioning Grid Analysis which measures the vendors strengths and opportunities against present market challenges, measure providers ability to identify or satisfy present market needs, map providers market vision to current and upcoming market dynamics among others.
The report also measures technology life line curve and market time line to analyze and do more affective investments.
- No of Tables: 220
Major Market Competitors:
Some of the major players of the global emotion detection and recognition market are:
- Beyond Verbal
- Emotient (Apple Inc.)
- Eyeris Medical Center Pvt. Ltd.
- Kairos AR, Inc.
- Noldus Information Technology
- nViso SA
- Tobii AB, and others.
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Summary of Market Drivers and Restraints:
- Advancements in enabling technologies and robust data repository
- Strong need to understand consumer behavior
- Increasing adoption of wearable technology
- Increasing applications in numerous industry sectors
- Misinterpretation in analysis of emotions
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