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2022
Emotion Detection And Recognition Market

Emotion Detection and Recognition Market

by Software Tool (Facial Expression and Emotion Recognition, Gesture and Posture Recognition, Voice Recognition), by Application (Law Enforcement Surveillance and Monitoring, Entertainment and Consumer Electronics, Marketing and Advertising, Others), by Technology (Pattern Recognition Network, Machine Learning, Natural Language Processing, Others), by End User (Commercial, Entertainment, Retail, Others): Global Opportunity Analysis and Industry Forecast, 2020-2030

✷  Report Code: A03464
Pages: 265
Mar 2022 | 15842 Views
Author(s) : Md K, Beesetty Y, Pramod B , Vineet K
Tables: 174
Charts: 63
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Emotion Detection And Recognition Market Research, 2030

The global emotion detection and recognition market was valued at $18.8 billion in 2020, and is projected to reach $103.1 billion by 2030, growing at a CAGR of 18.7% from 2021 to 2030.

The COVID-19 pandemic has a negative impact on the emotion detection and recognition market owing to incorporation of advanced technologies across various industries and growing mandates for wearing mask across various countries limits the growth of emotion detection and recognition market.

Emotion detection recognition (EDR) is a method used for detection and recognition of human emotions with the incorporation of technological capabilities, such as facial recognition, speech and voice recognition, biosensing, machine learning, and pattern recognition. The study under consideration explores the global market for both EDR software and services that are capable of recognizing basic emotions.

Substantial growth of the internet of things technology, increase in popularity of wearable technology, and tremendous rise in the usage of smartphone drive the global emotion detection and recognition market growth. Moreover, advancement in technologies helps market to perform better. However, high cost of application & functional requirements, misinterpretation in analysis of emotions restrict the growth of the market. Adoption of cloud-based technology provides growth opportunity for the market.

Segment review

The global emotion detection and recognition market is segmented on the basis of software tool, application, technology, end user, and region. Software tool covered in this study include facial expression and emotion recognition, gesture and posture recognition, and voice recognition. Application includes law enforcement, surveillance, and monitoring, entertainment and consumer electronics, marketing and advertising, and others. Based on technology, the market includes pattern recognition network, machine learning, natural language processing, and others. The end users covered are commercial, entertainment, retail, and others. Based on regional study, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players that operate in the emotion detection and recognition industry are Affectiva, CrowdEmotion, IBM Corporation, Kairos AR, Inc., Noldus Information Technology bv, NVISO SA, Realeyes, Sentiance NV., Sightcorp, and SkyBiometry.

Emotion Detection and Recognition Market
By Software Tool

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Facial Expression and Emotion recognition segment dominated the market in the year 2020

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In terms of software tools, the facial expression & emotion recognition segment holds the largest emotion detection and recognition market size, as it offers fast & accurate results, reliable matching, non-contact process, diverse application (access control, border control, crime fighting, and law enforcement agencies), which gain traction in the emotion detection and recognition market. Moreover, time fraud, better security, automated facial system, easy integration, and high success rate are some of the key benefits that supplement the adaptation of facial expression recognition solutions. However, the gesture & posture recognition segment is expected to grow at the highest rate during the forecast period, as it offers ability to communicate naturally with the technology through basic sign language, reduces the use of most prominent hardware devices, and assures good performance with fast and powerful results, reliability, and good feature extraction, which fuel the growth of the emotion detection and recognition market.

Emotion Detection and Recognition Market
By Region

2030
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific is expected to witness significant growth during the forecast period, owing to public awareness and emerging advanced technologies in countries such as Japan, China, India, Australia, and Rest of Asia-Pacific that contribute to the growth of the emotion detection and recognition market.

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Region wise, the emotion detection and recognition market share was dominated by North America in 2020, and is expected to retain its position during the forecast period, owing to the presence of countries, such as the United States and Canada, which are home to the largest retail markets, with demand for IoT and smart wearables and high ad spending. Marketers in the region are among the global leaders in adopting technologies that enable gaining consumer insights. However, Asia-Pacific is expected to witness significant growth during the forecast period owing to, growing need for high operational excellence, and rising need for socially intelligent artificial agents contribute to the growth of the emotion detection and recognition market.

 

COVID-19 Impact Analysis

The emotion detection and recognition market size has grown significantly in recent years; but, due to the outbreak of the COVID-19 pandemic, the market is expected to experience a sharp decline in 2020. This is due to wearing masks has become essential for social interaction, disturbing emotion recognition in daily life. Furthermore, it hampers the detection rate as the recognition rates were the lowest under mask conditions, followed by the sunglasses and uncovered conditions. In identifying emotions, different emotion types were associated with different areas of the face. However, the market has survived by simultaneously comparing faces with different parts covered; we were able to more accurately examine the impact of different facial areas on emotion recognition. Therefore, the application of emotion detection and recognitions to detect the cases increased the demand for the market during the COVID-19 pandemic having a negative impact on the market.

Top Impacting Factors

Substantial growth of the internet of things technology

Internet of Things technology also facilitates monitoring and responding to all devices in accordance with the emotion, mood, and actions of a person. There are devices that pass information to one another without human intervention, such as input from a sensor that regulates the output of an industrial process at a remote installation. Emotion-sensing technology is moving from an experimental phase to a reality. For instance, the talk with Siri is designed, the way in which emotions are displayed on the mood-tracking app (Moodnotes) is designed. This helps in boosting the emotion detection and recognition industry towards growth.

Increasing popularity of wearable technology

Wearable technology is rapidly adopted by melianol generation with the growing technological innovation such as sensors for tracking information, which detects physical traces such as heart rate, blood pressure, and skin temperature. This also helps in predicting and gives clues about mood. Human emotions such as facial expressions, tone of voice, body postures, and gestures are accompanied by physiological changes. Wearable gadgets measure such physiological change and helps in presenting a meaningful conclusion with specific factual data to be relied upon.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the emotion detection and recognition market analysis from 2020 to 2030 to identify the prevailing emotion detection and recognition market forecast.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the emotion detection and recognition market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global EDR market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global emotion detection and recognition market trends, key players, market segments, application areas, and EDR market growth strategies.

Emotion Detection and Recognition Market Report Highlights

Aspects Details
By Software Tool
  • Facial Expression and Emotion Recognition
  • Gesture and Posture Recognition
  • Voice Recognition
By Application
  • Law Enforcement Surveillance and Monitoring
  • Entertainment and Consumer Electronics
  • Marketing and Advertising
  • Others
By Technology
  • Pattern Recognition Network
  • Machine Learning
  • Natural Language Processing
  • Others
By End User
  • Commercial
  • Entertainment
  • Retail
  • Others
By Region
  • North America  (U.S., Canada)
  • Europe  (U.K., Germany, France, Italy, Spain, Netherlands, Rest of Europe)
  • Asia-Pacific  (China, Japan, India, South Korea, Rest Of Asia Pacific)
  • LAMEA  (Latin America, Middle East, Africa)
Key Market Players Affectiva, CrowdEmotion, IBM Corporation, Kairos AR, Inc., Noldus Information Technology bv., NVISO SA, Realeyes, Sentiance NV., Sightcorp, SkyBiometry
 

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Facial emotion recognition is an AI technology used to analyze a person’s face and interpret their expressions. Using these analyses and interpretations, the emotion a person experiences can be concluded with the use of technology. Emotion recognition can be done using texts, images, videos, speeches, and conversations. It also provides benefits to many institutions and aspects of life. It is useful and important for security and healthcare purposes. Moreover, it is crucial for easy and simple detection of human feelings at a specific moment without actually asking them.

Key providers of the emotion detection and recognition market such as IBM Corporation, NVISO SA, and Sentiance NV account for a significant share in the market. With the growing requirement for emotion detection and recognition, various companies have established partnerships to increase their capabilities. For instance, in July 2020, Realeyes entered into partnership agreement with NEC Corporation, a leader in biometric authentication and video analytics technologies. This partnership helps to jointly develop and distribute emotion analysis solutions globally. Wireless 5G technologies and the COVID-19 pandemic have created a new way of life, where virtual meeting experiences are necessary and have become the default method for communication, collaboration, entertainment, and learning. Technologies that can help companies to safely and effectively understand how users are interacting with such services, and to respond to their needs, are now essential.

In addition, with further growth in investment across the world looking at the increase in demand for emotion detection and recognition systems, various companies are expanding their current product portfolio with increasing diversification among customers. For instance, in June 2019, Realeyes raised funds from Draper Esprit, the VC arm of Japanese telecom giant NTT Docomo, Japanese VC fund Global Brain, Karma Ventures, and The Entrepreneurs Fund to help brands detect emotion using AI on facial expressions.

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FREQUENTLY ASKED QUESTIONS?

A. Substantial growth of the Internet of Things technology, increase in popularity of wearable technology, and tremendous rise in the usage of smartphone drive the global emotion recognition and detection market. Moreover, advancement in technologies helps market to perform better.

A. Law Enforcement, Surveillance, and Monitoring Entertainment and Consumer Electronics Marketing and Advertising Others

A. Region wise, the emotion detection and recognition market share was dominated by North America in 2020, and is expected to retain its position during the forecast period, owing to the presence of countries, such as the United States and Canada, which are home to the largest retail markets, with demand for IoT and smart wearables and high ad spending. Marketers in the region are among the global leaders in adopting technologies that enable gaining consumer insights.

A. The global emotion detection and recognition market was valued at $ 18.76 billion in 2020, and is projected to reach $ 103.10 billion by 2030, registering a CAGR of 18.7% from 2021 to 2030.

A. The key players that operate in the emotion detection and recognition industry are Affectiva, CrowdEmotion, IBM Corporation, Kairos AR, Inc., Noldus Information Technology bv, NVISO SA, Realeyes, Sentiance NV., Sightcorp, and SkyBiometry.

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