Emotion Detection and Recognition Market Size, Top Vendors and Segments | Reach USD 136.2 Billion Forecast by 2031

According to a new report published by Allied Market Research, The emotion detection and recognition market size was valued at $21.66 billion in 2021, and is estimated to reach $136.2 billion by 2031, growing at a CAGR of 20.5% from 2022 to 2031.

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.

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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 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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Depending on the Application, the marketing & advertising segment hold the largest emotion detection and recognition market share as they offer positive arousal, consumer behavior insights, emotional marketing, consumer perception, perceived quality of product, and brand awareness fuel the emotion detection and recognition industry. In addition, brand recall/recognition, product perception, and purchase decisions are some of the key benefits that boost the adaptation of marketing & advertising solutions. However, other segments including e-learning and video games segment are expected to witness growth at the highest rate during the forecast period, as e-learning and video games offer improved quality of education, reduced travel cost and time, mobility function, and freedom to select interested material.

Depending on end user, the commercial segment holds the largest emotion detection and recognition market share as it allows businesses to gain knowledge about how individuals, social circles, communities, or cities feel about particular events, which helps businesses understand consumer behavior, business intelligence, better security, and easy integration, and has been gaining traction in the emotion detection and recognition market. However, the retail segment offers more structured work, efficient work processes, labor cost savings, creation of more satisfying self-service interactions with customers, enhanced customer experience, increased productivity, and high security, which have been gaining traction in the emotion detection and recognition market.

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Region wise, the emotion detection and recognition market was dominated by North America in 2020 and is expected to retain its position during the forecast period, due to their well-established economies, which allow investments in new technologies. Growth in demand to optimize and bring radical change in the areas of marketing and advertisement by using emotion detection and recognition technology creates remarkable potential in North America. However, Asia-Pacific is expected to witness significant growth during the forecast period, owing to factor that is increased public awareness and emerging advanced technologies in countries such as Japan, China, India, Australia, and Rest of Asia-Pacific contribute to the growth of the emotion detection and recognition industry.

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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