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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
Report Format: PDF+Excel | Report ID: SR112024A6194
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Market Overview:
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.
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Report Attribute
|
Key Statistics
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|---|---|
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Base Year
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2023
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|
Forecast Years
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2024-2032
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Historical Years
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2018-2023
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Market Size in 2023
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US$ 47.9 Billion |
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Market Forecast in 2032
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US$ 202.2 Billion |
| Market Growth Rate (2024-2032) | 16.8% |
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.
Report Coverage:
| Report Features | Details |
|---|---|
| Base Year of the Analysis | 2023 |
| Historical Period | 2018-2023 |
| Forecast Period | 2024-2032 |
| Units | US$ Billion |
| Segment Coverage | Component, Technology, Application, End User, Region |
| Region Covered | Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
| Countries Covered | United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico |
| Companies Covered | 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 |
| Customization Scope | 10% Free Customization |
| Report Price and Purchase Option | Single User License: US$ 3899 Five User License: US$ 4899 Corporate License: US$ 5899 |
| Post-Sale Analyst Support | 10-12 Weeks |
| Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
The global emotion detection and recognition market was valued at US$ 47.9 Billion in 2023.
We expect the global emotion detection and recognition market to exhibit a CAGR of 16.8% during 2024-2032.
The rising demand for emotion detection and recognition across several industries, such as law and enforcement, marketing and advertising, medical care, etc., to identify behavioral patterns and analyze the gestures and postures of the body is primarily driving the global emotion detection and recognition market.
The sudden outbreak of the COVID-19 pandemic situation had led to the growing adoption of face masks by individuals across numerous nations to combat the spread of the coronavirus infection, thereby negatively impacting the global market for emotion detection and recognition methods.
Based on the component, the global emotion detection and recognition market has been segmented into software tools and services. Currently, software tools hold the majority of the total market share.
Based on the technology, the global emotion detection and recognition market can be divided into pattern recognition network, machine learning, natural language processing, bio-sensors technology, feature extraction and 3d modelling, and others. Among these, natural language processing exhibits a clear dominance in the market.
On a regional level, the market has been classified into North America, Asia-Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.
Some of the major players in the global emotion detection and recognition market include 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.
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