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.
According to the report published by Allied Market Research, the global emotion detection and recognition market $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.
The report provides an in-depth analysis of the top investment pockets, top winning strategies, drivers & opportunities, market size & estimations, competitive scenario, and wavering market trends.
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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.
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.
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The report offers a detailed segmentation on the global emotion detection and recognition market based on software tools, applications, technology, end-user, and region.
Based on software tool, the facial expression and emotion recognition segment held the largest market share in 2020, garnering more than three-fifths of the total market. The gesture and posture recognition segment, on the other hand, is expected to cite the fastest CAGR of 20.6% during the forecast period.
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Based on end-user, the commercial segment held the majority market share in 2020, holding more than one-third of the total market. The retail segment, on the other hand, is anticipated to exhibit the fastest CAGR of 20.4% during the forecast period.
Leading Market Players:
➢ Affectiva
➢ CrowdEmotion
➢ IBM Corporation
➢ Kairos AR, Inc.
➢ Noldus Information Technology bv
➢ NVISO SA
➢ Realeyes
➢ Sentiance NV.
➢ Sightcorp
➢ SkyBiometry.
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