WILMINGTON, DE, UNITED STATES, September 30, 2024 /EINPresswire.com/ -- According to the report published by Allied Market Research, the global emotion detection and recognition market size $18.8 billion in 2020, and is projected to reach $103.1 billion by 2030, growing at a CAGR of 18.7% from 2021 to 2030.

Significant surge in the internet of things (IoT), rise in popularity of wearable technology, remarkable growth in the internet penetration, and increase in the use of smartphones among people across the globe are expected to drive the growth of the global emotion detection and recognition market. On the other hand, extortionate functional requirements and cost of application are expected to hinder the growth of the market to some extent. However, extensive adoption of cloud-based technology is predicted to create ample opportunities for the growth of the industry.

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Emotion detection and recognition is a process that can be described by three fundamental steps, namely, feature extraction, feature selection, and classification. The feature extraction process involves one or more sensors to measure the representative features of an object. The feature selection module selects more fundamental features from a list of features. Whereas the classification module categorizes the selected features into one of several emotion states. Its application includes sign language for communication among the disabled, lie detection, monitoring emotional states or stress levels of subjects, navigating and/or manipulating in virtual environments, and so on.

Furthermore, substantial growth of the Internet of Things technology, increase in popularity of wearable technology, and tremendous rise in the usage of smartphone drive the global emotion recognition and detection market. Moreover, advancement in technologies help market to perform better. However, high cost of application & functional requirements, misinterpretation in analysis of emotions restrict the growth of the market. Adoption of cloud-based technology to offer remunerative opportunities for expansion of the market during the forecast period.

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COVID-19 Scenario

The outbreak of COVID-19 has had a negative impact on the growth of the global emotion detection and recognition market, owing to the occurrence of lockdowns in various countries across the globe. Lockdowns adversely decreased the demand for emotion detection and recognition as wearing masks became essential for social interactions during the pandemic, which disturbed emotion recognition in daily life.

However, the market is expected to recoup soon.

The report offers a detailed segmentation on the global emotion detection and recognition market based on software tools, applications, technology, end-user, and region.

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Based on region, the market across North America held the lion’s share in 2020, garnering nearly two-fifths of the total market. The Asia-Pacific region, on the other hand, is predicted to cite the fastest CAGR of 20.6% during the forecast period.

The key players analyzed in the global emotion detection and recognition industry report include Affectiva, CrowdEmotion, IBM Corporation, Kairos AR, Inc., Noldus Information Technology bv, NVISO SA, Realeyes, Sentiance NV., Sightcorp, and SkyBiometry.

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