The global emotion detection and recognition market size reached US$ 33.2 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 97.71 Billion by 2027, exhibiting a growth rate (CAGR) of 19.50% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.

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.

Emotion Detection and Recognition Market Trends:
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.

Key Market Segmentation:
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 2022-2027. Our report has categorized the market based on component, technology, application and end user.

Breakup by Component:

Software Tools
Facial Expression Recognition
Bio-Sensing Software Tools and Apps
Speech and Voice Recognition
Storage and Maintenance
Consulting and Integration

Breakup by Technology:

Pattern Recognition Network
Machine Learning
Natural Language Processing
Bio-Sensors Technology
Feature Extraction and 3D Modelling

Breakup by Application:

Law Enforcement, Surveillance and Monitoring
Marketing and Advertising
Media and Entertainment

Breakup by End User:

Defence and Security Agency

Breakup by Region:

North America
United States
South Korea
United Kingdom
Latin America
Middle East and Africa

Competitive Landscape:
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.

Key questions answered in this report:
How has the global emotion detection and recognition market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global emotion detection and recognition market?
What are the key regional markets?
What is the breakup of the market based on the component?
What is the breakup of the market based on the technology?
What is the breakup of the market based on the application?
What is the breakup of the market based on the end user?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global emotion detection and recognition market and who are the key players?
What is the degree of competition in the industry?