Updates 2020: Emotion Detection And Recognition Market To Reach USD 88.3 Billion By 2027 | CAGR 21.2% — Forencis Research

  • According to the new market research report Emotion Detection and Recognition Market by Software Tool (Facial Expression & Emotion Recognition, Voice Recognition and Gesture & Posture Recognition), by Technology (Pattern Recognition Network, Machine Learning, Natural Language Processing, Bio-sensors Technology, Feature Extraction and 3D Modeling and Others), by Service (Storage and Maintenance, Consulting and Integration), by Application (Law Enforcement, Surveillance, & Monitoring, Entertainment & Consumer Electronics, Marketing & Advertising, E-Learning, Medical Emergency, Video Games and Others), by End-User (Commercial, Industrial, Defense, Government, Retail, Entertainment, Transportation and Others), by Region (North America, Asia Pacific, Europe, Middle East and Africa, South America) — Global Forecast (2020 to 2027)”, the global Emotion Detection and Recognition Market is estimated to reach USD 88.3 Billion by 2027 at a CAGR of around 21.2% during the review period.
  • The Emotion Detection and Recognition (EDR) is a method which is being used for recognition and detection of the human emotion, with the help of technological capabilities that includes facial recognition, speech & voice recognition, and pattern recognition.
  • Moreover, this is being implemented to know the about a person’s feeling with the help of a facial image or video. These trend in the technology may lead to boost the growth of the market in the forecast period.
  • With the growing adoption of wearable technology is witness to boost the growth of the market in the forecast period. Whereas, the wearable technology contain sensors for tracking information which helps to detect the physical traces such as skin temperature, blood pressure as well as the heart rate.
  • One of the major key concern of the market high cost issue which may hamper the market growth. Whereas, the emotion detection and recognition system is performing various processes to detect the emotions.
  • Growing government support to advance the recognition technology as well as rising technological advancement in Artificial Intelligence (AI) and Machine Learning (ML) is lead to create a major opportunities for the growth of the market in the forecast period.
  • Misinterpretation in analysis of emotions as well as the data privacy and security concern is create a major restraining factor for the market growth.
  • North America:
  • Asia-Pacific:
  • Microsoft:
  • Affectiva:

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