Global Affective Computing Market Research Report — By Type (hardware, software) By Vertical (retail, IT & Telecom) By Deployment (cloud, on-premise) By Organization size (SME’s, large enterprises) By Technology (touch, touchless) — Forecast till 2023
Affective computing is the area of study linked with cognitive computing and artificial intelligence. Affective computing is a process of collecting data from facial expressions, voice inputs, and body language to measure the level of human emotions. A major area of progress in affective computing market is the design of computational devices having emotional measurement capabilities for simulating human emotions.
The affective computing market is segmented by type, vertical, deployment, and organization size.
On the basis of type, the affective computing market is divided into hardware, software (analytics software, enterprise software, facial feature extraction, gesture recognition, speech recognition, and others). Enterprise software provides business-oriented tools such as online payment processing and automated billing systems. The enterprise software is expected to exhibit the highest growth rate during the forecast period. Facial feature extraction is a part of face recognition technology that defines the process of locating specific regions, points, landmarks, or curves/contours in a 2-D or a 3-D image. The segment facial expression, at present, is dominating the market of affective computing.
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On the basis of vertical, the affective computing market is segmented into retail, transportation & logistics, IT &Telecom, public sector, BSFI, and others. The retail sector is dominating the market by using data analytics, and sensors to understand consumer behavior for taking better decisions. Affective computing is also used in logistics for planning, implementing, and controlling the effective and efficient flow of goods and services from the point of origin to the point of consumption. This is expected to help logistics and transportation to show the highest growth rate.
On the basis of deployment, the affective computing market is segmented as cloud and on-premise. Services and solutions that are delivered and consumed in real-time over the internet are known as Cloud Computing. On the basis of organization size, the affective computing market is segmented as small & medium scale enterprise (SME’s) and large enterprises. Large enterprises invest more capital in industrial plants and machinery, and their research & development. Therefore, this segment is expected to dominate the market over the forecast period. On the basis of technology, the affective computing market is segmented as touch-based and touchless.
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), 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
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 2018. 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.
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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