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Emotion Detection And Recognition Market

Emotion Detection And Recognition Market Size, Share & Trends Analysis Report

Emotion Detection And Recognition Market 2020 By Software Tool (Voice Recognition, Facial Expression & Emotion Recognition, Gesture & Posture Recognition) By Technology (Pattern Recognition Network, Machine Learning, Natural Language Processing, Bio-Sensors Technology, Feature Extraction And 3D Modeling )

Published
Report ID : BMRC 1188
Number of pages : 300
Published Date : Nov 2022
Category : Technology And Media
Delivery Timeline : 48 hrs

Emotion detection and recognition market is valued at USD 18.13 Billion in 2018 and expected to reach USD 61.36 Billion by 2025 with a CAGR of 23.32% over the forecast period.

This Emotion detection and recognition Market report also covers the impact of COVID-19 on the global market. The pandemic caused by Coronavirus (COVID-19) has affected every aspect of life globally, including the business sector. This has brought along several changes in Emotion detection and recognition market conditions.

Increase in IoT connections and increase in need for capturing micro-expressions and determining quality and service indicators for consumers are the major factors stimulating the growth of the global Emotion detection and recognition market.

Scope of the Emotion detection and recognition Market Report

Emotion recognition and detection is a technology that provides advanced image processing and allows the program to ""read"" facial emotions, such as anger, sadness, fear, joy, disgust, surprise, confidence, etc. Various participants are experimenting with combining image processing techniques with complex algorithms that have emerged over the past decade. This function is implemented to find out more about people's feelings using facial images or videos. The technology used by the emotion detection and recognition system uses intelligent algorithms and intelligence to capture the results of human emotions, such as fear, happiness, sadness and surprise, including speech recognition, recognition facial expressions, speech analysis, real-time behavior, etc. Meaning and image detection software. With the help of systems that use signal processing, artificial intelligence and machine learning technologies, emotion detection and recognition systems can now be used in the surrounding environment. The system can recognize and understand the emotions of the users and design their experiences via intelligent interfaces such as microcontrollers. Various smart wearable providers on the market are integrating more and more bio-trackers as part of their health monitoring capabilities which utilizes emotion recognition and detection technology.

Global Emotion detection and recognition market is segmented on the basis of software tool, technology, application and region. On the basis of software tool, the market is segmented into voice recognition, facial expression & emotion recognition and gesture & posture recognition. Based on technology, the market is segmented into pattern recognition network, machine learning, natural language processing, bio-sensors technology, feature extraction and 3D modeling. Based on application, the market is segmented into marketing and advertising, law enforcement, surveillance and monitoring, entertainment and consumer electronics and others.

The regions covered in this Data Monetization market report are North America, Europe, Asia-Pacific and Rest of the World. Based on the country level, market is sub divided into U.S., Mexico, Canada, UK, France, Germany, Italy, China, Japan, India, South East Asia, GCC, Africa, etc.

Emotion detection and recognition Vendors

Key players of the Emotion detection and recognition market are,

Affectiva

Apple

Beyond Verbal

nViso SA.

Noldus Information Technology

Tobii AB

Sentiance

Sightcorp

Realeyes

CrowdEmotion

Kairos AR Inc.

SkyBiometry.

Global Emotion detection and recognition Market Dynamics-

The significant factor that is going to boost the growth of the Emotion detection and recognition market are the increase in the concerns for security of malls, airports and public venues to discover evil acts. Additionally, the Internet of Things (IoT) is also expected to play a key role in generating demand for sensor-based emotion detection and recognition technologies. In economies of varying sizes and rapid cultural change, regardless of the size of the business, capturing micro-expressions and determining quality and service indicators for consumers will also affect the hike in the global emotion detection and recognition market. International data corporation (IDC) expects that during the forecast period of 2017 to 2022, global spending on IoT will maintain a double-digit annual growth rate and exceed the $ 1 trillion mark in 2022 compared to $745 billion in 2019. However, the current lack of powerful computing power and network architecture in embedded systems, as well as the high cost of digital infrastructure, are the main challenges for the global emotion detection and recognition market. Key opportunities exist in defense agencies, used to monitor and monitor borders and security systems, social media, online marketing, cognitive service providers and businesses using cloud-based technologies.

Asia Pacific is expected to Witness a Fastest Growth in the Global Emotion detection and recognition Market

North America has been the market leader so far and is expected to remain dominant in future in the global emotion detection and recognition market due to the existence of countries like the United States and Canada, which have the largest retail market, the demand for the Internet of Things and smart portable devices is high and advertising spending is also high. Consequently, North America is expected to occupy a significant market share. The United States is one of the largest retail markets in the world, with a large share of the world's retail trade, including e-commerce. For example, according to data from the United States Department of Commerce, total retail sales to the United States in 2018 were US $ 5.35 trillion, and it is expected to reach US $ 5.99 trillion by 2023. The needs for emotion detection and recognition technologies (such as facial features extraction and 3D modeling, biosensor technology and natural language processing (NLP)) are increasing among end users such as businesses, defense and security agencies, and commercial and industrial companies. According to GSMA Intelligence, the number of IoT connections in the region in 2018 was 2.3 billion, including 1.4 billion consumer IoT connections. Growing economies in the Asia-Pacific region, such as India, Japan and China, are adopting new business models to promote a competitive consumer-oriented environment, thereby creating opportunities for market growth in APAC region as well.

Key Benefits for Global Emotion detection and recognition Market Report–

Global market report covers in depth historical and forecast analysis.

Global market research report provides detail information about Market Introduction, Market Summary, Global market Revenue (Revenue USD), Market Drivers, Market Restraints, Market opportunities, Competitive Analysis, Regional and Country Level.

Global market report helps to identify opportunities in market place.

Global market report covers extensive analysis of emerging trends and competitive landscape.

Global Emotion detection and recognition Market Segmentation:–

By software tool: Voice Recognition, Facial Expression & Emotion Recognition, Gesture & Posture Recognition

By Technology: Pattern Recognition Network, Machine Learning, Natural Language Processing, Bio-Sensors Technology, Feature Extraction and 3D Modeling 

By Application: Marketing and Advertising, Law Enforcement, Surveillance and Monitoring, Entertainment and Consumer Electronics, Others

Regional & Country Analysis
North America, U.S., Mexico, Canada , Europe, UK, France, Germany, Italy , Asia Pacific, China, Japan, India, Southeast Asia, South America, Brazil, Argentina, Columbia, The Middle East and Africa, GCC, Africa, Rest of Middle East and Africa

 

SUMMARY
VishalSawant
Vishal Sawant
Business Development
vishal@brandessenceresearch.com
+91 8830 254 358
Segmentation
Segments

By software tool: 

  • Voice Recognition,
  • Facial Expression & Emotion Recognition,
  • Gesture & Posture Recognition

By Technology: 

  • Pattern Recognition Network,
  • Machine Learning,
  • Natural Language Processing,
  • Bio-Sensors Technology,
  • Feature Extraction and
  • 3D Modeling 

By Application: 

  • Marketing and Advertising,
  • Law Enforcement,
  • Surveillance and Monitoring,
  • Entertainment and Consumer Electronics,
  • Others
Country
Regions and Country

North America

  • U.S.
  • Canada

Europe

  • Germany
  • France
  • U.K.
  • Italy
  • Spain
  • Sweden
  • Netherlands
  • Turkey
  • Switzerland
  • Belgium
  • Rest of Europe

Asia-Pacific

  • South Korea
  • Japan
  • China
  • India
  • Australia
  • Philippines
  • Singapore
  • Malaysia
  • Thailand
  • Indonesia
  • Rest of APAC

Latin America

  • Mexico
  • Colombia
  • Brazil
  • Argentina
  • Peru
  • Rest of South America

Middle East and Africa

  • Saudi Arabia
  • UAE
  • Egypt
  • South Africa
  • Rest of MEA
Company
Key Players
  • Affectiva
  • Apple
  • Beyond Verbal
  • nViso SA.
  • Noldus Information Technology
  • Tobii AB
  • Sentiance
  • Sightcorp
  • Realeyes
  • CrowdEmotion
  • Kairos AR Inc.
  • SkyBiometry.

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