At present, the electronic environment have become more responsive and sensitive towards the presence of people. The emotionally smart vision technology has enhanced a key dimension to devices’ circumstantial awareness to back a better ambient intellect. Emotion detection and recognition software is capable of being embedded into the environment which is passive to accurately recognize operators, comprehend user emotions and personalize each individual’s experiences through smart adaptive interfaces. The market of emotion detection and recognition has develop significantly since past few years and is expected to boom in coming future.
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Extensive penetration of powerful mobile devices leading to escalate business optimization demands and handle complexities along with its ability to cope up with trending technologies such as cloud based computing and wearable devices, is the major reason driving the Emotion Detection and Recognition market, also this technology facilitates its industrial customers to evaluate the customer behavior more efficiently to enhance their service quality, leading towards business growth. But, this technology has certain drawbacks, like lack of rules and regulation imposed by government bodies that makes it difficult for the developers as well as service providers to efficiently fulfill the functional requirements and being a human developed technology there is possibility to make certain mistakes while analyzing emotions. Despite of some glitches in the technologies, adoption of cloud-based technologies and evolution of Internet of Things including technologies like Neuro Linguistic Programming (NLP), feature extraction, bio-sensors and 3D modelling, and growing strategic partnership among the companies to build an affable market landscape is expected to create growth opportunities for the emotion detection and recognition market.
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The entire market is bifurcated into four segments that include technology, software tool, end-user and regions. The technology segment of this market includes various technologies that are used in the emotion detection and recognition system. There are an array of technologies comprising 3D modelling & feature extraction, natural language processing (NLP), bio-sensors, machine learning and other similar technologies. The bio sensors are majorly used by the health & medical industry, and it further includes electrocardiography (ECG), electroencephalography (EEG), electromyography (EMG), eye tracking and newly introduced technology of wearable devices. Based on software tools the market segment consists of Bio-sensing software tools & apps, facial expression and voice & speech recognition. This market caters to commercial, industrial, defense & security, medical & healthcare, entertainment, surveillance, consumer electronics and other personal users.
The emotion detection and recognition market is broadly segmented into four regions, viz., North America, Europe, Asia-Pacific and Middle East & Africa and South America. Whereas, North America and Europe capture most of the market share, whereas high growing economies like India and China are experiencing rising demand for advanced technology implementation and adequate awareness and efforts to systematize the emotion detection and recognition technology, also other highly populated countries like Japan and South Korea have strengthen the growth opportunities of Asia-Pacific region in next few years.
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Some of the key players in this market are Noldus Information Technology, Affectiva, Kairos AR, nViso, Emotient, RealEyes, IBM Watson Foundation, SightCorp, Sentiance and Tobbi among others.
Few Key Points from Table of Content
7 Emotion Detection and Recognition Market – Competitive Landscape
7.1 Global Emotion Detection and Recognition Market Sales Revenue (US$ Bn), 2014 – 2025
7.2 Emotion Detection and Recognition Market – Market Share Analysis of Market Positioning of Key Players, 2015
8 Global Emotion Detection and Recognition Market Revenue and Forecasts to 2025 – Technology
8.1.1 Segment Share (%), 2015 & 2025
8.2 3D Modelling & Feature Extraction
8.3 Natural Language Processing (NLP)
8.5 Machine Learning
9 Global Emotion Detection and Recognition Market Revenue and Forecasts to 2025 – Software Tools
9.1.1 Segment Share (%), 2015 & 2025
9.2 Bio-Sensing Software Tools & Apps
9.3 Facial Expression
9.4 Voice & Speech Recognition
10 Global Emotion Detection and Recognition Market Revenue and Forecasts to 2025 – End-users
10.1.1 Segment Share (%), 2015 & 2025
10.4 Defense & Security
10.5 Medical & Healthcare
10.8 Consumer Electronics
12 Global Emotion Detection and Recognition Market, Key Company Profiles Included Key Facts, Business Description, Financial Overview, SWOT Analysis and Key Developments
12.1 Noldus Information Technology
12.3 Kairos AR
12.7 IBM Watson Foundation
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