Emotion Detection and Recognition Market By Software Tool (Facial Expression and Emotion Recognition, Gesture and Posture Recognition, Voice Recognition), By Application (Law Enforcement Surveillance and Monitoring, Entertainment and Consumer Electronics, Marketing and Advertising, Others), By Technology (Pattern Recognition Network, Machine Learning, Natural Language Processing, Others), By End User (Commercial, Entertainment, Retail, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
Emotion recognition is a technique used in software programs, which allows a program to read the emotions on a human face using advanced image processing. It requires the extraction of a set of facial features from a person’s facial expression. Recognition of emotion refers to the classification of facial features into one of several emotion states such as anger, joyful, sad, happy, and others. Usually, a supervised classifier pre-trained with emotional features acts as an input and an emotion state as output is used to determine the type of an unknown emotional state.
Substantial growth of the Internet of Things technology, the increase in popularity of wearable technology drive the global emotion recognition and detection market. Moreover, the tremendous rise in the usage of smartphones helps the market to perform better. However, the high cost of application & functional requirements, misinterpretation in analysis of emotions restrict the growth of the market. Adoption of cloud-based technology provides growth opportunity for the market.
The global emotion detection and recognition market are segmented on the basis of a software tool, application, technology, end-user, and region. Software tool covered in this study includes facial expression & emotion recognition, gesture & posture recognition, and voice recognition. The application includes law enforcement, surveillance, & monitoring, entertainment & consumer electronics, marketing & advertising, and others (e-learning and video games). Based on technology, the market includes pattern recognition network, machine learning, natural language processing, and others (bio-sensors technology). The end users covered are commercial, industrial, defense, and others (government, retail, entertainment, and transportation). Based on regional study, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players that operate in the emotion detection and recognition market are IBM Corporation., Affectiva, Intel Corporation, Kairos AR, Inc., Noldus Information Technology bv., NVISO SA., Realeyes, Sentiance NV., Sightcorp, and SkyBiometry.
KEY BENEFITS FOR STAKEHOLDERS
The study provides an in-depth analysis of the global emotion detection and recognition market forecast along with the current & future trends to explain the imminent investment pockets.
Information about key drivers, restraints, & opportunities and their impact analysis on global emotion detection and recognition market trends is provided in the report.
The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
Key Market Segments
By Software Tool
Facial Expression and Emotion Recognition
Gesture and Posture Recognition
Voice Recognition
By Application
Law Enforcement Surveillance and Monitoring
Entertainment and Consumer Electronics
Marketing and Advertising
Others
By Technology
Pattern Recognition Network
Machine Learning
Natural Language Processing
Others
By End User
Commercial
Entertainment
Retail
Others
By Region
North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Netherlands
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
Noldus Information Technology BV
SkyBiometry
NVISO SA
Affectiva
Intel Corporation
Sentiance NV
Kairos AR, Inc.
Realeyes
Sightcorp
IBM CORPORATION
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