Affective Computing Market Size – $ 28.72 Billion in 2020, Market Growth – at a CAGR of 32.5%
VANCOUER, BC, CANADA, December 13, 2021 /EINPresswire.com/ – The Global affective computing market The size is expected to reach $ 284.73 billion at a stable 32.5% CAGR in 2028, according to the latest analysis from Emergen Research. The steady growth in market revenue can be attributed to the growing demand for telemedicine and the growing need to remotely assess the health of patients. Telemonitoring of patients is a main application of telemedicine. The use of emotional competition through smart devices such as smart wearable telemedicine devices allows for a more cost effective and faster way to assess the current status and need for medication for a patient from a distance. In addition, telemedicine providers focusing on specialist areas, including telepsychiatry, can particularly benefit from affective computing, which enables psychiatrists / psychologists to understand the feelings and emotional states of their patients even though the patient is not physically present or is unable to describe their emotions to a psychologist.
The report offers insightful information on market dynamics for Affective Computing. It offers SWOT analysis, PESTEL analysis, and Porter’s five forces analysis to present a better understanding of the Affective Computing market, competitive landscape, factors affecting it, and to predict industry growth. It also offers the impact of various market factors as well as the effects of the regulatory framework on the growth of the affective computing market.
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Affective computing technology is attracting considerable interest in the gaming industry, particularly in the development of games that feature emotional, interactive storytelling content or chatbots. Affective computing can help games interact more naturally with the player by using computer vision to recognize their emotions through facial expressions and adapt accordingly.
Touchless affective computer technology deploys radio waves to identify a person’s feelings and recognize an emotional state, including sadness, pleasure, anger, and joy. Touchless affective computing technology uses bouncing radio waves to measure an individual’s heart rate and breathing without even making contact with their body. The affective computing market in North America accounted for the largest revenue share in 2020 attributed to high adoption of advanced technologies, high implementation of artificial intelligence in end-use industries such as BFSI, electronic commerce, healthcare and information technology. In addition, the presence of the leading providers of affective IT solutions in the countries of the region is driving the steady growth of the market.
Featured Companies in Global Affective Computing Market:
Microsoft Corporation, Affectiva, Google LLC, Elliptic Laboratories A / S, Apple Inc., Cognitec Systems GmbH, Sony Depthsensing Solutions, International Business Machine Corporation, Qualcomm Technologies Inc. and Cipia Vision Ltd.
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The primary objective of the report is to offer market overview, product scope, growth prospects, and risks. The report also offers detailed information about each player in the global affective computing market along with their global position, financial status, product launch, business expansion plans, among others. Market players focus on developing various strategies such as partnerships, mergers and acquisitions, joint ventures, product launches, and research and development investments.
Answers to key questions:
What is the market value of the global Affective Computing market and its segments?
What is the market value and volume at regional and national level?
What are the key segments and sub-segments of the market?
What is the most important sub-segment in each segment of the scope of the study?
What are the attractive segments and geographic areas in which to invest?
What are the macroeconomic indicators impacting the dynamics of the country?
Who are the major players present in each region and their key strategies?
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The global affective computing market is broadly segmented on the basis of different product types, a range of applications, end-use industries, key regions, and an intensely competitive landscape. This section of the report is intended only for readers seeking to strategically select the most suitable and lucrative segments of the Affective Computing market. Segmental analysis also helps companies interested in this industry to make optimal business decisions and achieve desired goals.
Emergen Research has segmented the global affective computing market on the basis of supply, technology, industry vertical, and region:
Supply Outlook (Revenue, USD Billion; 2018-2028)
Technology Outlook (Revenue, USD Billion; 2018-2028)
Industry Vertical Outlook (Revenue, USD Billion; 2018-2028)
Media and entertainment
IT & Telecommunications
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Geographic Landscape of the Global Affective Computing Market – Synopsis:
The report closely studies the growth trajectory of the global affective computing market. It highlights the global dominance of major regional segments including North America, Asia-Pacific, Europe, Latin America, Middle East and Africa.
The study develops the crucial information relating to the regional market share. It simultaneously focuses on the important details of the growth patterns of each regional market.
Moreover, the report contains an exhaustive geographical study of the market, emphasizing the business growth prospects and market obstacles for each of the key regions of the market.
Reasons to buy:
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Chapter 1 includes an introduction of the Global Affective Computing Market, along with a comprehensive overview of the market, market scope, product offerings, and investigation of market drivers, growth opportunities, risks, constraints and other vital factors.
Chapter 2 provides an in-depth analysis of the major manufacturers engaged in this business vertical along with their sales and revenue estimates.
Chapter 3 details the highly competitive terrain of the market, highlighting key manufacturers and suppliers.
In Chapter 4, our team fragmented the market based on regions, highlighting the sales, revenue and market share of each region during the forecast period.
Chapters 5 and 6 focused on market segmentation on the basis of product type and application
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