Emotion Detection and Recognition Market

Market Overview:

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.

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 2023-2028. 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.

Report Coverage: