Global Emotion Detection and Recognition Market Overview
The Emotion Detection and Recognition Market Size was valued at USD 2.01 Billion in 2022. The Emotion Detection and Recognition industry are projected to grow from USD 2.28 Billion in 2023 to USD 4.21 Billion by 2030, exhibiting a compound annual growth rate (CAGR) of 9.65% during the forecast period (2023 - 2030).
Emotion detection and recognition is a technology used to identify and interpret human emotions through the analysis of facial expressions, vocal patterns, or body language. This technology is mainly used in the fields of psychology, market research, and customer experience management. It is achieved through the use of algorithms, machine learning, and artificial intelligence to analyze human behavior and identify emotional states such as happiness, anger, fear, sadness, and surprise. Emotion detection and recognition technology have a wide range of applications, including marketing research, human-computer interaction, and mental health assessments. The goal is to gain a deeper understanding of human emotions and to use that information to improve products, services, and customer experiences.
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Emotion Detection and Recognition Market Trends
- Internet of things technology boosts the growth of the market
The monitoring and controlling of all gadgets in line with a person's mood, emotions, and activities are also made possible by the internet of things technology. Without human interaction, certain devices can exchange information with one another. One such example is the input from a sensor that controls the output of an industrial process at a remote facility. The experimental stage of emotion-sensing technology is giving way to commercialization. As an illustration, consider how the conversation with Siri and the mood-tracking software (Moodnotes) convey emotions. This encourages the expansion of the emotion recognition and detection sector.
Emotion Detection and Recognition Market Segment Insights
Emotion Detection and Recognition Technology Insights
The market segmentation, based on Technology, includes Bio Sensors Technology, Machine Learning, Pattern Recognition, Feature Extraction and 3D Modelling, Natural Language Processing (NLP), and Others. The Machine Learning segment holds the majority share in 2022, contributing to the Emotion Detection and Recognition revenue. Machine learning is a subfield of artificial intelligence that enables systems to automatically improve their performance through experience. It is widely used in emotion detection and recognition as it allows for the development of algorithms that can accurately identify and interpret emotions based on complex and diverse data inputs.
Emotion Detection and Recognition Service Insights
Based on Service, the market segmentation includes Storage and Maintenance, Consulting, and Integration. The Consulting and Integration segment dominated the market. The segment includes companies that provide consulting services and support for the implementation of emotion detection and recognition solutions. The increasing demand for advanced emotional analysis solutions has led to a growing need for consulting and integration services, as organizations seek expert guidance in selecting, implementing, and integrating emotion detection and recognition systems into their operations.
Emotion Detection and Recognition Application Insights
Based on Application, the market segmentation includes Law Enforcement, Surveillance, and Monitoring, Marketing & Advertising, Media & Entertainment, and Others. The Law Enforcement segment is projected to be the faster-growing segment during the forecast period, 2023-2030. Emotion detection and recognition technology are being increasingly adopted by law enforcement agencies for various purposes, including suspect interviews, crowd management, and public safety. The technology provides a non-intrusive way to assess the emotions and intentions of individuals, which can help improve decision-making and enhance public safety.
Figure 2: Emotion Detection and Recognition Market, by Application, 2022 & 2030 (USD Million)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Emotion Detection and Recognition Regional Insights
By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World. North America is account for the largest share of the market. The region has a strong presence of technology companies and a high adoption rate of new technologies, which has led to an increased demand for emotion detection and recognition solutions in various industries, such as healthcare, retail, and entertainment. Additionally, the presence of leading universities and research institutions in the region has driven advancements in the field of emotion detection and recognition technology. The growing use of emotion detection and recognition in various industries, as the increasing awareness of its benefits, is expected to drive market growth in North America.
Figure 3: EMOTION DETECTION AND RECOGNITION MARKET SHARE BY REGION 2022 (%)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Emotion Detection and Recognition Key Market Players & Competitive Insights
Major market players are spending a lot of money on R&D to increase their product lines, which will help the market grow even more. Market participants are also taking various strategic initiatives to grow their worldwide footprint, with key market developments such as new product launches, contractual agreements, mergers and acquisitions, increased investments, and collaboration with other organizations. Competitors in the Emotion Detection and Recognition industry must offer cost-effective items to expand and survive in an increasingly competitive and rising market environment.
Manufacturing locally to cut operating costs is one of the main business tactics manufacturers use in the Emotion Detection and Recognition industry to benefit customers and expand the market sector. Major market players, including Noldus, Realeyes, Viso, Sightcorp, and others, are attempting to increase market demand by funding R&D initiatives.
Noldus Information Technology creates software and hardware for behavioral and observational research. It also has integrated research laboratories and offers consultancy services. The Observer XT is a behavioral coding and analysis program; FaceReader is a facial expression analysis tool; Media Recorder is software for synchronous recording of several video streams; and Viso Software is a multi-room, multi-video recording, and playback tool. It also provides data acquisition systems for recording physiological measuring equipment that works with The Observer X.
Realeyes Data Services Ltd. provides facial expression measurement software. The company offers a tool that uses a camera to acquire insight into human behavior and expression, allowing businesses to better product branding.
Key Companies in the Emotion Detection and Recognition market include
- Emotient Affectiva
- Apple Company
- Kairos Ar. Inc
- NEC
- Noldus
- Realeyes
- Viso
- Sightcorp
- Skybiometry
- Sentiance
Emotion Detection and Recognition Industry Developments
In June 2024, Tobii presented Glasses Explore, a web application that facilitates the examination of how people concentrate, together with Tobii Pro Glasses 3, a detailed software that helps people comprehend the areas that capture a person’s attention and the cause for such behavior. It enables quick solutions to training and performance insights and enhances user experience by capturing first-person views within a practical setting.
In January 2024, Paravision introduced a product called Paravision Liveness, which is capable of passively determining whether a photographic image of a head is genuine or simulated. Together with Paravision’s existing capabilities for face recognition, this technology dramatically enhances the verification of identity over distance. It provides enhanced security while minimizing discomfort for users who would otherwise be unable to use the service on various demographic target users. The introduction of the iBeta multi-level certification was prior to or during the launch of the product.
January 2023 - NVISO announced that its Neuro SDK will be showcased at the Socionext booth during CES2023. Additionally, the New AI Apps will integrate seamlessly thanks to the integration of the fully digital and potentially polyomino-MP3 architectural platform and the Action Units, Body Pose, and Gesture Recognition. These AIs include Headpose, Facial Landmark, Gaze, and Emotion Recognition, along with the evaluation Kit version. The event kit included a Demo of the Devices Used in the event.
September 2022 - With the partnership of MediaTek’s Genio Aiot incubator with CyberLink cooperation, which offers AI solutions, including facial recognition technologies, FaceMe Ai has been incorporated into this blending center. As a result of the new integration with MediaTek Genio 1200, FaceMe can now provide robust facial recognition capabilities for a wide range of applications and industries, including security, smart banking, access control, public safety and smart retail.
In July 2022, Jon–Secunet, a German biometrics and security company, announced plans in July 2022 to equip Zurich Airport with technology that would adapt the facility to meet the requirements of the European Entry/Exit System. The EES program mandates registration of third-country nationals, which involves supplying a facial picture and four fingerprint images to gain crossing access between land, sea and air borders within the Schengen zone.
February 2022 NEC announced a collaboration with SAP to accelerate NEC's corporate transformation (CX) and to co-create business opportunities. It will utilize the latest SAP solutions to accelerate CX, based on the results of the reforms it has made using SAP solutions.
Emotion Detection and Recognition Market Segmentation
Emotion Detection and Recognition Technology Outlook
- Bio Sensors Technology
- Machine Learning
- Pattern Recognition
- Feature Extraction and 3D Modelling
- Natural Language Processing (NLP)
- Others
Emotion Detection and Recognition Service Outlook
- Storage and Maintenance
- Consulting and Integration
Emotion Detection and Recognition Application Outlook
- Law Enforcement
- Surveillance and Monitoring
- Marketing & Advertising
- Media & Entertainment
- Others
Emotion Detection and Recognition Regional Outlook
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North America
-
Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
-
Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Australia
- Rest of Asia-Pacific
-
Rest of the World
-
Middle East
-
Africa
-
Latin America
| Attribute/Metric |
Details |
| Market Size 2022 |
USD 2.01 Billion |
| Market Size 2023 |
USD 2.28 Billion |
| Market Size 2030 |
USD 4.21 Billion |
| Compound Annual Growth Rate (CAGR) |
9.65% (2023-2030) |
| Base Year |
2022 |
| Market Forecast Period |
2023-2030 |
| Historical Data |
2018 & 2022 |
| Market Forecast Units |
Value (USD Million) |
| Report Coverage |
Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered |
Technology, Service, Application, and Region |
| Geographies Covered |
North America, Europe, Asia Pacific, and Rest of the World |
| Countries Covered |
The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled |
Emotient Affectiva, Apple Company, Kairos Ar. Inc, NEC, Noldus, Realeyes, Viso, Sightcorp, Skybiometry, Sentiance |
| Key Market Opportunities |
An increasing number of applications in the military, defense, and healthcare |
| Key Market Dynamics |
Rising adoption and Emotion recognition applications of IoT technology |
Emotion Detection Recognition Market Highlights:
Frequently Asked Questions (FAQ) :
The Emotion Detection and Recognition market size was valued at USD 2.01 Billion in 2022.
The market is projected to grow at a CAGR of 9.65% during the forecast period, 2023-2030.
North America had the largest share of the Emotion Detection and Recognition market.
The key players in the market are Emotient Affectiva, Apple Company, and Kairos Ar. Inc, NEC, Noldus, Realeyes, Viso, Sightcorp, Skybiometry, Sentiance.
The Machine Learning category dominated the market in 2022.
The Law Enforcement segment had the largest share in the market for Emotion Detection and Recognition.
