The emotion detection and recognition market size is expected to grow from $21.6 billion in 2019 to $56 billion in 2024 at a CAGR of 20% over the forecast period. Factors such as the rising need for socially intelligent artificial agents, increasing demand for speech-based biometric systems to enable multifactor authentication, technological advancements across the globe, and growing need for high operational excellence are expected to work in favor of the market in the near future.
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Emotion Detection and Recognition Market Segmentation
Based on Technology:
• Feature Extraction and 3D Modelling
• Biosensors Technology
• Natural Learning Processing (NLP)
• Machine Learning (ML)
• Others (records management technology, big data analytics, and other middleware tech)
Based on Software Tools:
• Facial Expression Recognition
• Biosensing Software Tools and Apps
• Speech and Voice Recognition
• Gesture and Posture Recognition
Based on Application Areas:
• Medical Emergency
• Marketing and Advertising
• Law Enforcement, Surveillance, and Monitoring
• Entertainment and Consumer Electronics
• Others (robotics and eLearning)
Based on End Users:
• Enterprises
• Defense and Security Agency
• Commercial
• Industrial
• Others (people using wearable devices, mobile phones, and independent institutions)
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(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)