Report Code: IM10790 | Available Format: PDF
Emergence of smart and advance technology and penetration of smart mobile systems has made the new electronic ecosystem more sensitive and conscious towards people present around the globe. With systems using techniques, such as signal processing, artificial intelligence and machine learning, the emotion detection and recognition systems are now capable of being used into the surroundings which can recognize and understand user emotions and design their experiences through smart interfaces such as microcontrollers. Biometric detection systems for authentication and data duplicity have gained industry attention. New developments by technology providers have created an environment for emotion detection and recognition system by gathering huge amount of real time natural data, which are being embedded within operating systems for greater computing experience and better decision making.
Moreover, the emotion detection and recognition systems use technology that captures human emotional results such as fear, happiness, sadness and surprise through smart algorithms and intelligence, which consist of combination of various technologies, including voice recognition, facial expression recognition, speech analysis, real time behaviour sensing and image sensing software.
Major demand for emotion detection and recognition technology is expected to come from defence agencies for surveillance and monitoring of borders & security systems, social media, online marketing, cognitive service providers and enterprises adopting cloud based technology. Internet of Things (IoT) also is expected to play a vital role in generating demand for sensor based emotion detection and recognition technology. Industries, such as product manufacturing and services, are also in demand for systems to effectively evaluate their customer behaviour experience. In addition, capturing the micro expressions and determining the consumer indicators towards the product quality and service in economies with diverse and rapidly changing culture by large and small businesses is also shaping the growth of emotion detection and recognition market.
Factors such as measuring television rating by the advertising and marketing sector, increasing concerns for security of malls, airports and public venue to detect evil acts, and need for smart applications to support emergency situations in sectors such as healthcare and oil & gas are major drivers for growth of the global emotion detection and recognition market. Adoption of analytics in consumer durables, growth of wearable technology, need for automatic temperature control devices, and increasing demand for smart lighting systems are also expected to drive the market.
However, lack of strong computation power and networking architecture in currently embedded systems are major challenges to the growth of the global emotion detection and recognition market. High cost of digital infrastructure, minimum technology information and complex operational difficulties by organisations are few of the other challenges to the global market growth. Absence of robust information technology ecosystem, adequate trained staff and outdated database management systems in small and medium enterprises (SMEs) may hinder the growth of global emotion detection and recognition market.
Due to high focus on research & development and advance technology mainly in developed economies of the U.S. and Canada, North America region is expected to account for the largest emotion detection and recognition market. With increasing customer service awareness, rapidly developing technology hubs, the growing economies of Asia-Pacific such as, India, Japan and China, are adopting new business models to promote consumer centric and competitive environments generating opportunities for market growth.
Some of the major players in the global emotion detection and recognition market are Affectiva, Apple, Kairos Ar Inc, Sight Corp, Beyond Verbal Communication Ltd and Noldus Information Technology B.V.
Global Emotion Detection and Recognition Market
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By Application Area
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