Affective computing is a multidisciplinary field of knowledge dealing with various backgrounds such as psychology, cognitive, physiology, and computer sciences. Facial expressions, posture, gestures, speech, force or rhythm of keystrokes and the temperature changes of the hand on a mouse signify changes in the user’s emotional state, and these can be detected and interpreted by a computer. For instance, the technology includes wristbands that attempt to get user’s emotional cues through vital signs.
Major players in the market concentrate majorly on affective computing to develop highly intelligent systems for better human-machine interaction. The main objective of affective computing is to develop a computing device with its capacity to gather cues to user emotion from a variety of sources. Affective Computing will impact many industrial applications including consumer electronics, Customer Relationship Management (CRM), security, Healthcare, Virtual Reality, and Robotics.
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One of the major driving factors of the market is increasing adoption of connected devices across different end-user industries and continuous improvement in enabling affective computing technology. However, the inadequacy of standards and high production cost is expected to hamper the market growth.
Some of the key players in affective computing market include Google LLC (U.S.), Microsoft Corporation (U.S.), IBM Corporation (U.S.), Saffron Technologies Inc. (U.S.), Qualcomm Inc. (U.S.), Elliptic Labs A/S (Norway), Eyesight Technologies Ltd. (Israel), Pyreos Limited (Scotland), and Softkinetic Systems (Belgium), SiteCorp. (The Netherlands).
Other players in market are Dream Face Technologies (U.S.), Gesturetek(U.S.), Palantir Technologies(U.S.), Affectiva (U.S.), Emotional Recognition(U.K), Numenta (U.S.), CrowdEmotion(U.K), SRI International (U.S.), Feel Wristband (Sentio Solutions)(U.S.), Vokaturi (The Netherlands) among others
The affective computing market is segmented by type, vertical, deployment, and organization size.
On the basis of type, the market is segmented into hardware, software (analytics software, enterprise software, facial feature extraction, gesture recognition, speech recognition, and others).
On the basis of vertical, the market is segmented as retail, transportation & logistics, IT &Telecom, public sector, BSFI(Banking, Financial Services, and Insurance), and others.
On the basis of deployment, the affective computing market is segmented as cloud and on-premise.
On the basis of organization size, the affective computing market is segmented as small & medium scale enterprise (SME’s) and large enterprises.
On the basis of technology, the affective computing market is segmented as touch-based and touchless.
Geographically, the Affective Computing Market is segmented into four different regions namely North America, Asia Pacific, Europe, and Latin America, the Middle East & Africa (LAMEA).
North America was dominating the affective computing market and holds the largest market share in 2016. Due to large number of enterprises acquired affective computing technologies, along with the latest technologies.
North America’s affective computing market incorporates major products that are in high demand currently along with cost breakup, manufacturing volume, import/export scheme and contribution to the affective computing market revenue in North America. The United States, Canada, and Mexico are the countries reviewed for the affective computing market in this region. Research in multimodal recognition and detection combined with the effective and efficient collaboration among different researchers is providing the market with tremendous potential growth opportunities.
Asia Pacific region offers potential growth opportunities for the market to emerge over the forecast period. The key factor driving the growth of Asia Pacific region includes improvement in technological implementations & rising smart city investments. India, China, Japan, South Korea, and Australia are the countries considered for Asia Pacific affective computing market. A major driver for this region is affective computing based robots and digital call centers.
- Business intelligence tools
- System experts
- System integrators
- Telecommunication Vendors Machine learning/Artificial Intelligence (AI) solution providers
- Mobile network operators
- Cognitive and AI technology experts/providers
- End-users/consumers/enterprise users
- Technology consultants
LIST OF TABLES
Table1 Global Affective Computing Market: By Region, 2018-2023
Table2 North America Affective Computing Market: By Country, 2018-2023
Table3 Europe Affective Computing Market: By Country, 2018-2023
Table4 Asia Pacific Affective Computing Market: By Country, 2018-2023
Table5 The Middle East & Africa Affective Computing Market: By Country, 2018-2023
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LIST OF FIGURES
FIGURE 1 Global Affective Computing Market Segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Porter’s Five Forces Analysis Of Global Affective Computing Market
FIGURE 4 Value Chain Of Global Affective Computing Market
FIGURE 5 Share Of Global Affective Computing Market In 2018, By Country (In %)
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