Emotion recognition is a technique used in software programs, which allows a program to "read" the emotions on a human face using advanced image processing. It requires the extraction of a set of facial features from a person’s facial expression. Recognition of emotion refers to the classification of facial features into one of several emotion states such as anger, joyful, sad, happy, and others. Usually, a supervised classifier pre-trained with emotional features acts as an input and an emotion state as output is used to determine the type of an unknown emotional state.
Substantial growth of the Internet of Things technology, the increase in popularity of wearable technology drive the global emotion recognition and detection market. Moreover, the tremendous rise in the usage of smartphones helps the market to perform better. However, the 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.
The global emotion detection and recognition market are segmented on the basis of a software tool, application, technology, end-user, and region. Software tool covered in this study includes facial expression & emotion recognition, gesture & posture recognition, and voice recognition. The application includes law enforcement, surveillance, & monitoring, entertainment & consumer electronics, marketing & advertising, and others (e-learning and video games). Based on technology, the market includes pattern recognition network, machine learning, natural language processing, and others (bio-sensors technology). The end users covered are commercial, industrial, defense, and others (government, retail, entertainment, and transportation). 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 market are IBM Corporation., Affectiva, Intel Corporation, Kairos AR, Inc., Noldus Information Technology bv., NVISO SA., Realeyes, Sentiance NV., Sightcorp, and SkyBiometry.
Substantial growth of the Internet of Things technology, the increase in popularity of wearable technology drive the global emotion recognition and detection market. Moreover, the tremendous rise in the usage of smartphones helps the market to perform better. However, the 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.
The global emotion detection and recognition market are segmented on the basis of a software tool, application, technology, end-user, and region. Software tool covered in this study includes facial expression & emotion recognition, gesture & posture recognition, and voice recognition. The application includes law enforcement, surveillance, & monitoring, entertainment & consumer electronics, marketing & advertising, and others (e-learning and video games). Based on technology, the market includes pattern recognition network, machine learning, natural language processing, and others (bio-sensors technology). The end users covered are commercial, industrial, defense, and others (government, retail, entertainment, and transportation). 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 market are IBM Corporation., Affectiva, Intel Corporation, Kairos AR, Inc., Noldus Information Technology bv., NVISO SA., Realeyes, Sentiance NV., Sightcorp, and SkyBiometry.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the global emotion detection and recognition market forecast along with the current & future trends to explain the imminent investment pockets.
- Information about key drivers, restraints, & opportunities and their impact analysis on global emotion detection and recognition market trends is provided in the report.
- The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
Key Market Segments
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
- UK
- 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
- Noldus Information Technology BV
- SkyBiometry
- NVISO SA
- Affectiva
- Intel Corporation
- Sentiance NV
- Kairos AR, Inc.
- Realeyes
- Sightcorp
- IBM CORPORATION
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Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: EMOTION DETECTION AND RECOGNITION MARKET, BY SOFTWARE TOOL
CHAPTER 5: EMOTION DETECTION AND RECOGNITION MARKET, BY APPLICATION
CHAPTER 6: EMOTION DETECTION AND RECOGNITION MARKET, BY TECHNOLOGY
CHAPTER 7: EMOTION DETECTION AND RECOGNITION MARKET, BY END USER
CHAPTER 8: EMOTION DETECTION AND RECOGNITION MARKET, BY REGION
CHAPTER 9: COMPETITIVE LANDSCAPE
CHAPTER 10: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report titled, “Emotion Detection and Recognition Market," the emotion detection and recognition market was valued at $21.66 billion in 2021, and is estimated to reach $136.2 billion by 2031, growing at a CAGR of 20.5% from 2022 to 2031.The Emotion detection and recognition Market is likely to experience a significant growth rate of 20.5% from 2022-2031 owing to significant growth of the internet of things technology.
Facial Emotion Recognition is a technology used for analyzing sentiments from different sources, such as pictures and videos. It belongs to the family of technologies often referred to as affective computing, a multidisciplinary field of research on computers’ capabilities to recognize and interpret human emotions and affective states and it often builds on Artificial Intelligence technologies.
Key factors driving the growth of the emotion detection and recognition market include Substantial growth of the internet of things technology, Increasing popularity of wearable technology and Rapid increase in the usage of smartphones across the globe. Growing number of smartphone users across the globe is driving the market growth for the emotion detection and recognition market. According to the data published by datareportal, more than two-thirds of the world’s total population now uses a mobile phone, with the number of “unique” mobile users reaching 5.48 billion in October 2022, as smartphones are equipped with many sensors such as an accelerometer, gyroscope, compass, proximity, microphone, and GPS. These sensors are used to capture various social and behavioral aspects of the users, which is referred to as social sensing. It is majorly used to support experimental social psychology. Smartphone applications incorporated with the proposed system to improve a smart motion-detecting camera security system and find human faces for houses and offices. Furthermore, the availability of built-in sensors in mobile phones has enabled a host of innovative applications such as an intelligent emotion detection system for mobile phones implemented as a smart keyboard that infers a user's emotional state using machine learning techniques. The system uses accelerometer readings and various aspects of typing behavior like speed and delay between letters to train a classifier to predict emotions. In addition to providing emotive feedback to individual users, the system also uses geo-tagged data to collect and display the emotional states of regions or countries through a website. These factors support the expansion of the emotion detection and recognition market.
The market also offers growth opportunities to the key players in the market. Cloud-based technology refers to services, applications, or resources made available to users on demand via the internet from a cloud computing provider’s server. Adoption of cloud-based technology will let the company utilize cloud-based computing to increase capacity, enhance functionality, or add additional services on demand without having to commit to potentially expensive infrastructure costs for the emotion detection and recognition market. Emotion recognition plays an opportunistic role in the automobile industry for self-driving or semi-auto-driving cars since people tend affected by pressure or negative emotions while driving. With emotional recognition, drivers and passengers would have more conversational and relational interactions with these vehicles. Emotion AI would play a key role in helping transform the automotive experience. In addition, it is also growing demand in other industries such as it uses in the public sector, defense, transportation, and others. There is an increase in demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, defense, and public and private agencies. Thus, this is expected to create growth opportunities.
The emotion detection and recognition market are segmented into software tool, application, technology, end-user and region. On the basis of software tool, the market is categorized into facial expression and emotion recognition, gesture and posture recognition, and voice recognition. On the basis of application, it is categorized into law enforcement surveillance and monitoring, entertainment and consumer electronics, marketing and advertising, and others. On the basis of technology, it is fragmented into pattern recognition network, machine learning, natural language processing, and others. On the basis of end user, the market is categorized into commercial, entertainment, retail, and others. Region wise, it is analyzed across North America (the U.S., and Canada), Europe (the UK, Germany, France, Italy, Spain, and rest of Europe), Asia-Pacific (China, India, Japan, Australia, South Korea, and rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).
The key players profiled in the study include IBM Corporation., Affectiva, Intel Corporation, Kairos AR, Inc., Noldus Information Technology bv., NVISO SA., Realeyes, Sentiance NV., Sightcorp, and SkyBiometry. The players in the market have been actively engaged in the adoption of various strategies such as partnership, collaboration, business development, and product launch to remain competitive and gain an advantage over the competitors in the market. For instance, in October 2022, IBM helps ecosystem partners accelerate ai adoption by making it easier to embed and scale ai across their businesses.
Key Market Insights
- By software tool, the facial expression and emotion recognition segment was the highest revenue contributor to the market and is estimated to reach $65.28 billion by 2031, with a CAGR of 19.0%. However, the gesture and posture recognition segment is estimated to be the fastest-growing segment with a CAGR of 22.8% during the forecast period.
- By application, the marketing and advertising segment dominated the global market and is estimated to reach $44.97 billion by 2031, with a CAGR of 17.0%. However, the other segment is expected to be the fastest-growing segment during the emotion detection and recognition Market Forecast.
- Based on technology, the machine learning segment was the highest revenue contributor to the market, with $7.98 billion in 2021, and is estimated to reach $37.26 billion by 2031, with a CAGR of 16.9%.
- Based on end users, the commercial segment was the highest revenue contributor to the market, with $7.47 billion in 2021, and is estimated to reach $28.36 billion by 2031, with a CAGR of 14.4%.
- Based on region, North America was the highest revenue contributor, accounting for $8.13 billion in 2021, and is estimated to reach $44.10 billion by 2031, with a CAGR of 18.7%.
Companies Mentioned
- Noldus Information Technology BV
- SkyBiometry
- NVISO SA
- Affectiva
- Intel Corporation
- Sentiance NV
- Kairos AR, Inc.
- Realeyes
- Sightcorp
- IBM CORPORATION
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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