07-Feb-2020 | Facts and Factors
Facts and Factors has authored “Emotion Detection and Recognition Market By Type (Technology, Software Tool, Service, and Others) and By Application (Law Enforcement, Surveillance, & Monitoring, Entertainment & Consumer Electronics, Marketing & Advertising, Medical Emergency and Healthcare, Others (e-Learning and Video Games)): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2019 - 2026”. Based on our analysis, the global emotion detection and recognition market in 2019 was approximately USD 11,535 Million and is anticipated to reach around USD 59,498 USD Million by 2026. The anticipated CAGR for the emotion detection and recognition market is around 25% from 2020 to 2026.
Emotional detection and recognition analytics is a stimulating combination of psychology as well as technology. There are many tools that are used for facial expression detection. Human emotion is classified into seven main types as joy, fear, sadness, anger, surprise, disgust, and contempt. Along with noticing emotion over faces algorithms find facial expression within a photo and video. To find the actual means of written word sentiment analysis processing software can be used, whether the statement is positive or negative. It is affecting society and business if emotion is detected, but in many important sectors like public and offices for surveillance and monitoring of borders, security systems, automotive industry, social media, healthcare industry, online marketing, and consumer behavior analysis, cognitive service.
Browse the full “Emotion Detection and Recognition Market By Type (Technology, Software Tool, Service, and Others) and By Application (Law Enforcement, Surveillance, & Monitoring, Entertainment & Consumer Electronics, Marketing & Advertising, Medical Emergency and Healthcare, Others (e-Learning and Video Games)): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2019 - 2026” report at https://www.fnfresearch.com/emotion-detection-and-recognition-market
Government can make good use of emotions detection and recognition solutions. Additionally, the latest versions of this technology solutions are used detecting terrotist activities and passengers in airlines. Internal emotions are detected based on the analysis of facial signals, including expression and body language.
Emotional factors play a vital role in customers purchasing behavior. The latest study highlights that choice, as well as the decisions of customers, can be the result of the analysis. The psychological analysis identifies the mindset of customers for every stage of decision-making during the process of purchasing. Consequently, the companies are carefully focusing on consumer behavior for towering the sales in their market. Due to this, there is a huge potential opportunity for emotion detection and recognition market in upcoming years. Most prominent B2B companies such as Cisco, IBM, and Autodesk pay attention to emotions in their marketing.
A major challenge for emotional detection and recognition is to bring trust over it. Analysis is done based on an anticipated record in a controlled lab. Images which are taken under controlled of illumination situation, in these faces are strictly avoided, but it provides naturally high quality of images. The second important challenge regarding the market is human behavior that is examined through different views in which the facial expressive behavior method is just a single aspect. For knowing the humans completely, need to do a joint view over human behavior. It requires adding audio and verbal content besides the big picture. The lack of strong calculating power is the major challenge for the growth of the global emotion detection and recognition market, shortage of technology, high cost of the digital structure and operational problem are some other challenges of the market.
Many industries are attracting towards the analysis of visual data and large volume. The most important use of automatic analysis of marketing is in publicity and marketing.
The numbers that are provided in this report are calculated based on sales for emotion detection and recognition solutions from its type and application in various regions. The market has been classified into software tool, technology, and service that is mainly applied for surveillance, & monitoring, law enforcement, entertainment & consumer electronics, medical emergency and healthcare, and others such as (e-Learning and Video Games). The global emotion detection and recognition market forecasts are estimated on the base of primary and secondary research. The global Emotion Detection and Recognition market size are given in terms of revenue (USD Million).
The most dominating players in the global emotion detection and recognition market space are Noldus Information Technology, Tobii AB, Face++, Microsoft Azure, Affectiva, Sightcorp, CrowdEmotion Ltd., Beyond Verbal, IBM.
This report segments the Emotion Detection and Recognition market as follows:
Global Emotion Detection and Recognition Market: By Type Segment Analysis
- Software Tool
Global Emotion Detection and Recognition Market: By Application Analysis
- Law Enforcement, Surveillance, & Monitoring
- Entertainment & Consumer Electronics
- Marketing & Advertising
- Medical Emergency and Healthcare
- Others (e-Learning and Video Games)
Global Emotion detection and recognition Market: Regional Segment Analysis
- North America
- Rest of Europe
- Asia Pacific
- South Korea
- South-East Asia
- Rest of Asia Pacific
- Latin America
- Rest of Latin America
- The Middle-East and Africa
- GCC Countries
- South Africa
- Rest of Middle-East Africa
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