In a recently published report, Affective Computing report for till 2030. The report further now discusses; the various strategies to be adopted or being adopted by the business players across the globe at various levels in the value chain. In view of the global economic slowdown, we further estimated that China, India, Japan and South Korea to recover fastest amongst all the countries in the Asian market. Germany, France, Italy, Spain to take the worst hit and this hit is expected to regain 25% by the end of 2021- Positive Growth in the economic demand and supply.
U S Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analysis and U.S. Census Bureau mention the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) average exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilst imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Affective Computing products.
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Moreover, increase in ICT spending around the globe for hardware, software, services, new technologies and telecom among others is also anticipated to contribute to the growth of the market in the coming years. The spending on new technologies recorded around USD 0.6 million in 2018 and is further estimated to reach close to USD 1.3 million by 2023. The total ICT spending around the globe further recorded close to USD 5 million in 2019 and is further.
Global Affective Computing Market is valued approximately USD 20.8 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 37.4 % over the forecast period 2020-2027. Affective computing develops computational systems that recognize, response, and express emotions, which reduces the distance between human emotions and machines. The global Affective Computing is being highly demanded due to the coronavirus pandemic as employees are asked to work from home and organizations are temporary shutdown. The governments and regulatory authorities mandate both public and private organizations to embrace new practices for working remotely and maintaining social distancing. So The computer scientists and major players are focusing and putting more efforts on affective computing in order to develop a highly intelligent computing system, which enriches the proactive and intelligent human machine interaction. The growing need for telehealth-related affective computing solutions, rising need for socially intelligent artificial agents, increasing adoption of wearable devices and growing internet penetration across industry verticals, technological advancements across the globe and growing need for high operational excellence, increased resource utilization, and enhanced productivity encourages the growth of Affective Computing Market.
Furthermore, the rising advancements and other strategic alliance by market key players will create a lucrative demand for this market. For instance: on 18th June 2019, Microsoft launched four free “Eyes First” games for people with speech and mobility disabilities. These game has Windows 10 eye tracking APIs and can be used with or without Windows 10 Eye Control and can play games, such as tile slide, match two, double up, and maze using the eye gaze input. However, high production cost of affective computing systems and gap between academic research and real-life applications the growth of global Affective Computing market during the forecast period.
The regional analysis of global Affective Computing Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the growing adoption advanced technologies has lead the growth of the market. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027.
Major market player included in this report are:
Google
Microsoft
IBM
Apple
Qualcomm
Affectiva
Elliptic Labs
Eyesight Technologies
Sony Depthsensing Solutions
Intel
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
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By Component:
Software
Hardware
Technology:
Touch-based
Touchless
By Software:
Speech Recognition
Gesture Recognition
Facial Feature Extraction
Analytics Software
Enterprise Software
By Hardware:
Sensors
Cameras
Storage Devices and Processors
Others
By Vertical:
Academia and Research
Media and Entertainment
Government and Defense
Healthcare and Life Sciences
IT and Telecom
Retail and eCommerce
Automotive
BFSI
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027
Target Audience of the Global Affective Computing Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
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