Touch-Based Affective Computing Market Size, Share, Trends, Growth, Forecast | Valuates Reports

Affective computing (also known as artificial emotional intelligence, or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While the origins of the field may be traced as far back as to early philosophical inquiries into emotion (“affect” is, basically, a synonym for “emotion.”), the more modern branch of computer science originated with Rosalind Picard’s 1995 paper on affective computing. A motivation for the research is the ability to simulate empathy. The machine should interpret the emotional state of humans and adapt its behavior to them, giving an appropriate response for those emotions.

Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 100 countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Touch-Based Affective Computing market in 2020.

COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets.

The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.

This report also analyses the impact of Coronavirus COVID-19 on the Touch-Based Affective Computing industry.

View Full Report: https://reports.valuates.com/market-reports/QYRE-Auto-30A1275/global-touch-based-affective-computing

Based on our recent survey, we have several different scenarios about the Touch-Based Affective Computing YoY growth rate for 2020. The probable scenario is expected to grow by a xx% in 2020 and the revenue will be xx in 2020 from US$ xx million in 2019. The market size of Touch-Based Affective Computing will reach xx in 2026, with a CAGR of xx% from 2020 to 2026.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Touch-Based Affective Computing market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Touch-Based Affective Computing market in terms of revenue.

Players, stakeholders, and other participants in the global Touch-Based Affective Computing market will be able to gain the upper hand as they use the report as a powerful resource. For this version of the report, the segmental analysis focuses on revenue and forecast by each application segment in terms of revenue and forecast by each type segment in terms of revenue for the period 2015-2026.

Get Free Sample: https://reports.valuates.com/request/sample/QYRE-Auto-30A1275/Global_Touch_Based_Affective_Computing

Regional and Country-level Analysis

The report offers an exhaustive geographical analysis of the global Touch-Based Affective Computing market, covering important regions, viz, North America, Europe, China, Japan, Southeast Asia, India and Central & South America. It also covers key countries (regions), viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc.

The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by each application segment in terms of revenue for the period 2015-2026.

Inquire for Regional Data: https://reports.valuates.com/request/regional/QYRE-Auto-30A1275/Global_Touch_Based_Affective_Computing

Competition Analysis

In the competitive analysis section of the report, leading as well as prominent players of the global Touch-Based Affective Computing market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Touch-Based Affective Computing market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Touch-Based Affective Computing market.

The following players are covered in this report:
• IBM
• Microsoft
• Eyesight Technologies
• Affectiva
• NuraLogix
• Gestigon GmbH
• Crowd Emotion
• Beyond Verbal
• nViso
• Cogito Corporation
• Kairos

Touch-Based Affective Computing Breakdown Data by Type
• Body Posture
• Physiological Test
• Other

Touch-Based Affective Computing Breakdown Data by Application
• Market Research
• Healthcare
• Media & Advertisement
• Automotive
• Others
Buy Now for Single User: https://reports.valuates.com/api/directpaytoken?rcode=QYRE-Auto-30A1275&lic=single-user

Buy Now for Enterprise User: https://reports.valuates.com/api/directpaytoken?rcode=QYRE-Auto-30A1275&lic=enterprise-user

Phone:
U.S. (TOLL FREE) : +1 (315) 215-3225
India: +91 8040957137

Valuates offers an extensive collection of market research reports that helps companies to take intelligent strategical decisions based on current and forecasted Market trends.