Affective computing market - Ashland, KY

Thursday, 13 February 2020
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City: Ashland, Kentucky
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Global Affective Computing Market is expected to reach US$ 72.56 Bn by 2026 at a CAGR of XX % during the forecast period.

Global Affective Computing Market Dynamics:

Affective computing is a technology which helps in recognizing human decision making through analyzing heart rate, voice, facial expressions, and other body parameters. Due to an increasing use of connected devices and smartphones, consumer-centric businesses are finding new ways to stay ahead in competition by using computing technology. The application of survey and focus group does not provide accurate emotional state of an end-user related to a specific product. Further, their responses may be prejudiced depending upon the surrounding conditions.

The emotional state of a consumer can trigger his/her engagement with the brand and this affects the decision making to buy the product. Thus, knowing the real-time emotional state can help the businesses to sell their product and thereby increase revenue. Exuberant cost of making effective computing systems, slow digitization rate across emerging economies, and other operational challenges are some of the major factors that may affect the growth of the market. Major factors contributing to the growth of the market are the machine interaction technologies and increasing adoption of the human.

The Global Affective Computing Market dynamics are thoroughly studied and explained in the report, which helps reader to understand emerging market trends, drivers, restraints, opportunities, and challenges at global and regional level for the Global Affective Computing Market.

Global Affective Computing Market is studied by Various Segments:

The report from Maximize market research provides the detail study of the market by various segments. Global Affective computing market is segmented by technology, software, hardware, vertical, and region. Among software segment, facial feature extraction software is expected to reach at the highest CAGR during the forecast period, owing to increasing demand to expression recognition techniques which are used by healthcare & life sciences, media and entertainment and by end-users, growing demand for authenticating devices and smartphones.

In the case of vertical, the healthcare and life sciences sector is likely to hold the largest market share during the forecast period. The healthcare and life sciences sector holds large-scale application areas for affective computing technology, which include detection of psychological disorders, facial expression recognition for the children (autism & dyslexia) and, thereby holding the largest market share among other end-use verticals studied for the market analysis.
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