Information Technology

Affective Computing Market 2019 Disclosing Latest Trend And Technology Outlook 2023

Affective Computing
Affective Computing

“The Affective Computing Market Research Report 2019-2023”: The report provides a unique tool for evaluating the Market, highlighting opportunities, and supporting strategic and tactical decision-making. The Affective Computing Market recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends and developments, and focuses on markets capacities and on the changing structure of the Affective Computing.

Global Affective Computing Market was valued at USD 16.17 billion in 2017, and is expected to reach a value of USD 88.69 billion by 2023 at a CAGR of 32.81%, over the forecast period (2018-2023).

Companies Include are: APPLE, INC., GOOGLE INC., IBM CORPORATION, MICROSOFT CORPORATION, QUALCOMM INC., BEYOND VERBAL COMMUNICATION LTD., EYESIGHT TECHNOLOGIES, LTD., AFFECTIVA, CROWDEMOTION, IMOTIONS, GESTURETEK, and COGNITEC SYSTEMS GMBH., amongst others.

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Scope of the Report-

The advent of affective computing could spur the growth of various applications. Affective computing can be used for personalization such as adjusting light, type of music, and room temperature by detecting a persons mood etc. For people with speech impairments and emotionally handicapped people, Gestele, a prototype, has been developed which adds to the emotions, to gestures or any other forms of communication from the affected people. Growing use of robots provides further incentive for the implementation of this technology. Artificial intelligence has been growing in domains such as autonomous cars, logistics and parking aid software, surgical robots etc.

Key Developments in the Market

� March 2018 – Empatica began deploying a smart device which can be used to manage stress. The device has been modeled similar to a watch and has received FDA approval. The device analyzes physiological signals to detect an increase in the stress inside the body and prevent seizures due to diseases such as epilepsy etc.

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Key Market Trends-

Increasing Applications in Various Domains Fueling the Growth of Affective Computing Market

The number of applications for the technology have been growing rapidly across various domains. Companies such as Disney have been using algorithms such as factorized variational autoencoders (FVAEs) to record the reaction of audience to various characters in a movie. Similar experiments have been conducted by the company for the movie Toy Story 5 to get an insight into some of the funniest characters in the movie. Video games are being designed to provide gamers with a better gaming experience through gauging gamers emotional responses during the gameplay. Furthermore, the use of such technology is expected to assist teenagers in social-emotional development in case of autism related diseases.

Healthcare is expected to be one of the Primary Recipients of the Technology

Artificial Intelligence (AI) in medicine has been growing and significant efforts are being made to increase the contribution to the domain. Companies such as DeepMind, Babylon Health etc. have been accelerating efforts towards such goals. Healthcare has been continuously growing in terms of demand and the need for better technology for better patient care. With regard to healthcare cognitive computing techniques such as physiological healthcare, and medicine analysis have been adopting the use of affective computing. Affective computing is still in a developing phase, as many experiments are being conducted in the domain. Experiments are being conducted on hippocampus of the macaque monkey and mouse brain to check the working of affective computing systems on biological systems.

North America Is Expected To Hold a Large Share of the Affective Computing Market

North America has been a relatively advanced region in terms of technology adoption and there have been increasing research institutes and organizations which have been involved with affective computing. Research organizations such as MIT have been concentrated in the region conducting various research projects which include Affective Response to Haptic signals, Automatic Stress Recognition in Real-Life Settings etc. which is expected to increase the investments in the region for the growth of affective computing. Firms involved in artificial intelligence have been making investments in the region which have been contributing to the growth of Affective computing in the region. About 8.5% of the firms are set to spend an amount of USD 250 million in 2016, boosting the North American Affective Computing Market.

The report has 150 tables and figures browse the report description and TOC:

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What are the market factors that are explained in the report?

-Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

-Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

-Analytical Tools: The Global Affective Computing Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.

Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.

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