The major players in the emotion detection and recognition market are Affectiva, Beyond Verbal, Noldus Information Technology, Sentiance, Sightcorp, Realeyes, CrowdEmotion, Kairos AR Inc, nViso SA, SkyBiometry, Cognitec Systems, Cipia Vision Ltd, iMotions, Elliptic Labs and Kairos.
New York, September 12, 2022 (GLOBE NEWSWIRE) – Reportlinker.com announces the release of the “Emotion Detection And Recognition Global Market Report 2022” – https://www.reportlinker.com/p06319249/?utm_source=GNW
The global emotion detection and recognition market is expected to grow from $ 18.93 billion in 2021 to $ 21.84 billion in 2022 with a compound annual growth rate (CAGR) of 15.40%. The emotion detection and recognition market is expected to grow to $ 39.03 billion in 2026 at a compound annual growth rate (CAGR) of 15.61%.
The emotion detection and recognition market consists in the sale of emotion detection and recognition solutions by entities (organizations, sole proprietorships and partnerships) that refer to a technique that uses technologies such as facial recognition, speech and voice recognition, learning automatic, bio-sensing and pattern recognition to detect and recognize human emotions. Emotion detection and recognition (EDR) can be used to make better decisions, improve focus and performance at work, manage stress, and adopt healthier and more productive work styles.
The main software tools for emotion detection and recognition are facial expression and emotion recognition, gesture and posture recognition, and voice recognition. Facial Emotional Recognition (FER) is a technology that analyzes facial expressions in still and video images to reveal information about an individual’s emotional state.
The technologies used are the pattern recognition network, machine learning, natural language processing and other technologies. Major end users included are commercial, entertainment, retail and other end users.
North America was the largest region in the emotion detection and recognition market in 2021. Regions covered by the emotion detection and recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America , Middle East and Africa.
The Emotion Detection and Recognition Market Research Report is one of a series of new reports providing emotion detection and recognition market statistics including the global emotion detection and recognition industry market size, regional stocks, competitors with emotion detection and recognition market share, detailed emotion detection and recognition market segments, market trends and opportunities, and any other data you may need to thrive in the detection and recognition industry of emotions. This market research report on emotion detection and recognition offers a comprehensive perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
Growing IoT applications and the adoption of wearable devices are expected to drive the growth of the emotion detection and recognition (EDR) market. IoT applications and the adoption of wearable devices are on the rise due to various reasons, such as the shift to digital processes, productivity with cost and efficiency reduction, accurate data collection, analytics and more.
This growing adoption of IoT and wearable devices will involve the use of emotion sensing and recognition as EDR can be integrated into IoT applications and wearable devices to capture physiological and behavioral data and responses to analyze and create automated responses based on about emotion. help make better decisions and improve the performance and functionality of a business or product.
For example, according to IoT statistics published in May 2022 by independent review site DataProt, the number of active IoT devices is projected to exceed 25.4 billion by 2030. By 2025, 152,200 IoT devices will connect to the internet every minute. By 2025, Internet of Things solutions will have the potential to generate economic value of $ 4-11 trillion. IoT technology has improved the efficiency of 83% of organizations. Global spending on IoT is projected to reach $ 15 trillion between 2019 and 2025. These statistics indicate that IoT applications are increasing globally. Therefore, the growing IoT applications and the adoption of wearable devices will drive the growth of the emotion detection and recognition (EDR) market.
The widespread use of emotion detection and recognition (EDR) in smart cars is a key trend that is gaining popularity in the emotion detection and recognition market. Smart cars are vehicles equipped with advanced electronics, technology and software to improve mobility and safety.
EDR is used in intelligent cars to recognize drivers’ emotions, such as from drowsiness detection for driver safety, to identify if the driver is alert or distracted while driving, and to create a highly personalized and intimate experience. An EDR software system installed in a device inside the car collects data on driver behavior through real-time facial analysis and alerts the driver, ensuring safety.
For example, Smart Eye, a Swedish artificial intelligence company offers indoor detection solutions based on the AI of emotions from its Affectiva subsidiary. This solution incorporates a camera and sensors in the car that capture data based on the driver’s facial analysis to enable road safety and enhance the mobility experience.
In January 2022, Raydiant, a US-based company offering cloud-based digital signage technology for retail and restaurant businesses, acquired Sightcorp for an undisclosed amount. With this acquisition, Raydiant’s experience management platform will use Sightcorp’s AI-powered analytics software to offer anonymous in-store screen engagement analytics services for brands to increase sales and deliver optimized content while protecting privacy. of consumers.
Sightcorp is a Netherlands-based company offering AI-based emotion recognition software.
The countries covered in the Emotion Detection and Recognition Market Report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, United Kingdom, and United States.
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