PUBLISHER: IMARC | PRODUCT CODE: 1467575
PUBLISHER: IMARC | PRODUCT CODE: 1467575
The global emotion detection and recognition market size reached US$ 47.9 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 202.2 Billion by 2032, exhibiting a growth rate (CAGR) of 16.8% during 2024-2032.
Emotion detection and recognition (EDR) refers to a method utilized for detecting and recognizing human emotions using technological capabilities, including facial recognition, speech and voice recognition, biosensing, machine learning, pattern recognition, etc. The EDR technology is based on image processing technologies that are widely used to detect the emotions of a human face. Aside from happiness, sorrow, and rage, it also scans for microexpressions like disdain and contempt. Besides this, the emotion detection and recognition technology is employed to identify behavioral patterns and analyze the gestures and postures of the body. As a result, it is extensively used across numerous industries, such as law and enforcement, marketing and advertising, medical care, etc.
The escalating demand for enhanced client experiences and the increasing requirement for a human touch in digital interactions are primarily driving the global emotion detection and recognition market. In line with this, the inflating utilization of EDR across several verticals to record microexpressions and assess customer feedback about products and services is also propelling the market growth. Furthermore, the rising integration of EDR with wearable devices to capture physiological and behavioral data in order to analyze and generate automated responses based on emotion is acting as another growth-inducing factor. Besides this, the widespread adoption of emotion detection and recognition solutions by several government agencies to monitor crowd behavior and detect possible threats is also stimulating the global market. Moreover, the escalating usage of EDR software systems in smart cars to provide real-time facial analysis for monitoring behavior and alerting the driver whenever required, is further creating a positive outlook for the market. Additionally, numerous technological advancements, including the adoption of deep learning and AI algorithms to improve outcomes, are expected to drive the global emotion detection and recognition market over the forecasted period.
IMARC Group provides an analysis of the key trends in each sub-segment of the global emotion detection and recognition market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on component, technology, application and end user.
Software Tools
Facial Expression Recognition
Bio-Sensing Software Tools and Apps
Speech and Voice Recognition
Services
Storage and Maintenance
Consulting and Integration
Pattern Recognition Network
Machine Learning
Natural Language Processing
Bio-Sensors Technology
Feature Extraction and 3D Modelling
Others
Law Enforcement, Surveillance and Monitoring
Marketing and Advertising
Media and Entertainment
Others
Government
Healthcare
Retail
Entertainment
Transportation
Defence and Security Agency
Education
Others
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The competitive landscape of the industry has also been examined along with the profiles of the key players being 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.