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Emotion Detection Market Growing at 31.9% of Annual Growth Rate, Due to (Facial Expression, Voice Recognition and Bio-Sensors) Demand to 2020

The defense and security agencies require emotion detection technology for surveillance and monitoring purposes. Major implementation of this technology has already been done in the areas of military services such as lie detectors and polygraph tests. The emotion detection and recognition technology helps in matching the records in real-time and detecting the stress levels of a criminal. Sightcorp develops unique Crowd Sight SDK and performs video and image analysis, which can be used for security and traffic monitoring purposes.

Complete report on Emotion Detection and Recognition Market spread across 126 Pages, Profiling 10 Top Companies and Supported with 79 Tables and 36 Figures is now available at http://www.reportsnreports.com/reports/461216-emotion-detection-and-recognition-market-by-technology-bio-sensors-nlp-machine-learning-and-others-software-tools-facial-expression-voice-recognition-and-others-services-application-areas-end-usersand-regions-global-forecast-to-2020.html

“Emotion Detection and Recognition market to reach USD 22.65 billion by 2020”


This research has been done on a global level broadly covering four regions, namely, North America, Europe, APAC, Middle East and RoW, and the market is projected to grow from USD 5.66 billion in 2015 to USD 22.65 billion by 2020, at a CAGR of 31.9% during the period. The market is being driven by factors such as increased focus on affective computing, business intelligence, and growing amount of spatial data as well as prompt availability of analytical tools.

Emotion Detection and Recognition Market Research is Usefule for Following Target Audience

  • Enterprise users
  • Defense and Security Agencies
  • Commercial users
  • Industrial users
  • Others (personal users)

“Law Enforcement, Surveillance, and Monitoring are as are projected to showcase robust growth in the emotion detection and recognition market”


In the rapidly growing economies, such as China and India, the growing demand for enhanced technology implementation, awareness and efforts to standardize the emotion detection and recogniton technology are some of the growth drivers for the market. Additionally, huge population, developing technology hubs, and affluent countries such as South Korea, Japan have further enhanced growth prospects in this region.


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Currently, due to the increasing rate of cybercrimes and illegal trespassing, the biometric authentication and deception detection systems have gained pace in terms of growth. These developments have cumulatively created an environment for emotion sensing technologies to be embedded within the computing systems for enhanced computing experience, and thereby resulting in better decision making. Technology implementation continues in the area of marketing and advertising campaigns, capturing emotions from customers and providing in-depth analysis.


The various key emotion detection and recognition vendors and service providers profiled in the report are as follows: Affectiva, Emotient, Kairos AR, nViso, RealEyes, SightCorp, Noldus Information Technology, Sentiance, Tobbi, IBM Watson Foundation


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The emotion detection and recognition systems incorporate touch and touchless-based technologies that capture human emotional quotient through unique solution suites, tailored to meet the end users’ environment. The suites comprise a combination of various software tools, such as facial expression recognition, speech & voice recognition, and biosensing software tools and apps for real-time emotion sensing. Natural language processing (NLP) and machine learning accounts for the major areas in the field of emotion detection technology.


Explore more reports on Information Technology at http://www.reportsnreports.com/market-research/information-technology/ .


The emotion detection and recognition technology market is segmented on the basis of systems and technology, services, software tools, application areas, and end users.

  • Estimated Year - 2015 +
  • Projected Year – 2020
  • Forecast Period – 2015 to 2020

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