The global emotion detection and recognition market size reached US$ 47.9 Billion in 2023. Looking forward, the market is projected to reach US$ 202.2 Billion by 2032, exhibiting a growth rate (CAGR) of 17.35% during 2023-2032.
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.
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.
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?
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
This report 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. The 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?
Table of Contents
1 Preface3 Executive Summary12 Value Chain Analysis14 Price Analysis
2 Scope and Methodology
4 Introduction
5 Global Emotion Detection and Recognition Market
6 Market Breakup by Component
7 Market Breakup by Technology
8 Market Breakup by Application
9 Market Breakup by End User
10 Market Breakup by Region
11 SWOT Analysis
13 Porters Five Forces Analysis
15 Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
- 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
- SkyBiometry
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 135 |
Published | April 2024 |
Forecast Period | 2023 - 2032 |
Estimated Market Value ( USD | $ 47.9 Billion |
Forecasted Market Value ( USD | $ 202.2 Billion |
Compound Annual Growth Rate | 17.3% |
Regions Covered | Global |
No. of Companies Mentioned | 13 |