Emotion Detection and Recognition Market Size to Reach US$ 116.7 Billion by 2028

Industry Overview of Emotion Detection and Recognition Market
Emotion detection and recognition (EDR) represents a method utilized for identifying and observing human emotions by using capabilities, including facial recognition, speech and voice recognition, machine learning, pattern recognition, biosensing, etc. It is usually based on image processing technologies that are extensively used to detect happiness, sorrow, rage, etc. EDR also scans for micro expressions, including disdain and contempt. Emotion detection and recognition is extensively utilized to analyze the postures and gestures of the body and identify behavioral patterns. Consequently, it finds wide-ranging applications across numerous industries, such as marketing and advertising, law and enforcement, medical, etc.

How Big Is the Emotion Detection and Recognition Market?
The global emotion detection and recognition market size reached US$ 40.1 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 116.7 Billion by 2028, exhibiting a growth rate (CAGR) of 19.3% during 2023-2028.

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Global Emotion Detection and Recognition Market Trends and Drivers:
The growing demand for enhanced client experiences is primarily driving the emotion detection and recognition market. Additionally, the inflating need for a human touch in digital interactions and the widespread adoption of EDR to record micro expressions and assess customer feedback regarding products and services are further bolstering the market growth. Besides this, the rising utilization of emotion detection and recognition with wearable devices to capture physiological and behavioral data to analyze and generate automated responses is acting as another significant growth-inducing factor. Moreover, EDR solutions are gaining extensive traction among government bodies to monitor crowd behavior and detect possible threats, which is positively influencing the global market. Apart from this, the increasing use of these systems in smart cars, as they provide real-time facial analysis to alert drivers, is also stimulating the market growth. Furthermore, the introduction of AI and deep learning algorithms to improve outcomes is expected to fuel the emotion detection and recognition market over the forecasted period.

What Is Included In Market Segmentation?
The report has been segmented the market into following categories:
Breakup by Component:
• Software Tools
o Facial Expression Recognition
o Bio-Sensing Software Tools and Apps
o Speech and Voice Recognition
• Services
o Storage and Maintenance
o Consulting and Integration

Breakup by Technology:
• Pattern Recognition Network
• Machine Learning
• Natural Language Processing
• Bio-Sensors Technology
• Feature Extraction and 3D Modelling
• Others

Breakup by Application:
• Law Enforcement, Surveillance and Monitoring
• Marketing and Advertising
• Media and Entertainment
• Others

Breakup by End User:
• Government
• Healthcare
• Retail
• Entertainment
• Transportation
• Defence and Security Agency
• Education
• Others

Breakup by Region:
• North America
o United States
o Canada
• Asia-Pacific
o China
o Japan
o India
o South Korea
o Australia
o Indonesia
o Others
• Europe
o Germany
o France
o United Kingdom
o Italy
o Spain
o Russia
o Others
• Latin America
o Brazil
o Mexico
o Others
• Middle East and Africa

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The report provides a comprehensive analysis of the industry key players listed below:
Affectiva (Smart Eye AB), Cognitec Systems GmbH (SALTO Systems), Emotibot Technologies Limited, Eyeris Technologies Inc., International Business Machines Corporation, Kairos AR Inc., NEC Corporation (AT&T Corporation), Noldus Information Technology bv, NVISO SA, Paravision, Realeyes, Sightcorp BV and SkyBiometry.

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This release was published on openPR.