Market Highlights
The emotion detection and recognition market is expected to witness rapid revenue growth due to vast adoption of human emotion detection techniques in government sectors. Besides, rising uses of the various detection technologies to detect consumer’s views to improve customer experience drive the market growth.
In healthcare, these technologies are used for tracking biometric characteristics related to health and activity metrics, including eye-tracking, user mood & emotion detection, facial recognition, and voice detection, among others. With increasing implementations of various advanced detection and recognition techniques by law enforcement sectors for surveillance and tracking, the market is projected to witness vast demand in the years to come.
According to Market Research Future (MRFR), the global emotion detection and recognition market is projected to garner exponential gains by 2027, growing at an impressive CAGR during the forecast period (2020 – 2027).
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Segmentation:
The emotion detection and recognition market report is segmented into technologies, software tools, services, applications, end-users, and regions. The technology segment is sub-segmented into biosensor technology, machine learning, pattern recognition, feature extraction, and 3D modeling, natural language processing (NLP), and others.
The software tool segment is sub-segmented into speech and voice recognition, facial expression recognition, bio-sensing software tools, and apps. The services segment is sub-segmented into storage & maintenance, consulting & integration, and others.
The application segment is sub-segmented into law enforcement, surveillance and monitoring, marketing & advertising, media & entertainment, and others. The end-users segment is sub-segmented into industrial, commercial, defense and security agencies, enterprises, and others. The region segment is sub-segmented into Americas, Europe, APAC, and Rest-of-the-World.
Emotion Detection and Recognition Market – Regional Analysis
North America dominates the global emotion detection and recognition market due to increasing adoption of human emotion recognition systems in organizations. Besides, vast technological advancements and uptake of these systems by law enforcement agencies and various other sectors drive the emotion detection and recognition market size.
Europe stands second in the global emotion detection and recognition market. Well-established technology development sectors and the augmenting demand for regulatory support in the region are major emotion detection and recognition market trends. Additionally, the resurging economy in the region acts as a significant factor substantiating the emotion detection recognition market growth. Also, increased funding to mitigate security management concerns provides an impetus to the market growth in the region.
Asia Pacific is a briskly growing market for emotion detection and recognition technologies. Substantial advances in related technologies and the availability of cost-competitive yet futuristic identification technologies are major emotion detection and recognition market trends. Furthermore, the dynamic growth in web, telecom, data centers, and the internet of things (IoT) boosts the regional market growth.
Emotion Detection and Recognition Market – Competitive Analysis
Highly competitive, these players incorporate several strategies such as acquisitions, collaborations, partnerships, expansions, and product & technology launch to gain a larger competitive share.
Major players:
Players leading the emotion detection and recognition market include Affectiva (US), Emotient, An Apple Company (US), Eyeris (US), Kairos Ar. Inc. (US), Noldus (Netherlands), Viso (Switzerland), Realeyes (UK), Sightcorp (Netherlands), Sentiance (Belgium), and Skybiometry (Lithuania), among others.
Industry/ Innovation/ Related News:
May 27, 2021 --- A research team at National Tsing Hua University, Taiwan, announced the development of a novel method for Natural Language Processing (NLP) to perform sentiment analysis on social media forums and language research datasets by categorizing and labeling animated GIFs posted in response to text announcements. These analytics can be used with social media platform’s in-built database as an index to quantify the affective state of a user’s response.
Jan 21, 2021 --- Uniphore (India), a conversational AI technology company, announced the acquisition of Emotion Research Labs to enter the video analytics market. The Emotion Research Labs uses emotion detection and eye-tracking to record and analyze video interactions in real-time. Its technology can help determine someone’s level of engagement during a video session.
Uniphore plans to combine its speech tech with Emotion Research’s video analytics to generate data to deliver better user experiences. The new solution would help enterprises identify and categorize key behavioral indicators, allowing those businesses to respond more productively.
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By Technology (Bio Sensors Technology, Pattern Recognition, NLP, Machine Learning, Feature Extraction), Software Tool (Voice Recognition, Facial Expression), Service, Application and End User – Forecast 2027
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