Emotion Detection and Recognition Market Report by Component (Software Tools, Services), Technology (Pattern Recognition Network, Machine Learning, Natural Language Processing, Bio-Sensors Technology, Feature Extraction and 3D Modelling, and Others), Appl

Emotion Detection and Recognition Market Report by Component (Software Tools, Services), Technology (Pattern Recognition Network, Machine Learning, Natural Language Processing, Bio-Sensors Technology, Feature Extraction and 3D Modelling, and Others), Application (Law Enforcement, Surveillance and Monitoring, Marketing and Advertising, Media and Entertainment, and Others), End User (Government, Healthcare, Retail, Entertainment, Transportation, Defence and Security Agency, Education, and Others), and Region 2024-2032

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.

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 2024-2032. 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
Services
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
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
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

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

1. What was the size of the global emotion detection and recognition market in 2023?
2. What is the expected growth rate of the global emotion detection and recognition market during 2024-2032?
3. What are the key factors driving the global emotion detection and recognition market?
4. What has been the impact of COVID-19 on the global emotion detection and recognition market?
5. What is the breakup of the global emotion detection and recognition market based on the component?
6. What is the breakup of the global emotion detection and recognition market based on the technology?
7. What are the key regions in the global emotion detection and recognition market?
8. Who are the key players/companies in the global emotion detection and recognition market?