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.
Two major categories describing emotions in machines are Emotional speech and Facial affect detection. In the forecast perio, Touchless AI models is seeing to is expected to grow at a high rate and hold the largest share of the affective computing market between 2017 and 2025.
Potential applications for affective computing seems limitless. The market for affective computing systems has already started to evolve, with enabling technologies already being adopted across in many areas like market research, healthcare, media & advertisement, automotive, retail, education, communication and so on. In 2017, the healthcare sector recorded the largest market share in terms of affective computing technology implementation, owing to the large number of application areas which include facial expression recognition for the specially abled children (autism, dyslexia, and others) and detection of psychological disorders in this area.
North America is estimated to hold the largest market share (about 33.85%) in 2017 due to the presence of a large number of enterprises deploying affective computing technologies, along with technological advanced scenarios. However, APAC offers the potential growth opportunities for the market to emerge over the coming years and surpass the North American affective computing market in terms of technology adoption. The key factors driving the growth rate in the APAC region include increasing technological implementations and rising smart city investments.
IBM, Microsoft, Eyesight Technologies, Affectiva, gestigon GmbH, Beyond Verbal, nViso SA, and Cogito Corporation, Kairos are some of the major market players in this market. Other prominent vendors include Crowd Emotion, NuraLogix, iMotions, Drive.ai, the Affective Computing Company and etc. Increasing investments in affective computing market and rise in the number of acquisitions of start-ups by leading players such as Affectiva, Eyeris Technologies, IBM, etc., are anticipated to thrive the global market of affective computing over the next few years.
Slow digitization rate across emerging economies, exuberant cost of making affective computing systems, and other operational challenges are the major restraining factors for the growth of the global affective computing market.
According to this study, over the next five years the Affective Computing market will register a 43.0% CAGR in terms of revenue, the global market size will reach US$ 1710 million by 2024, from US$ 200 million in 2019. In particular, this report presents the global revenue market share of key companies in Affective Computing business, shared in Chapter 3.
This report presents a comprehensive overview, market shares, and growth opportunities of Affective Computing market by product type, application, key manufacturers and key regions and countries.
This study considers the Affective Computing value generated from the sales of the following segments:
Global Affective Computing Market report features the major aspect of the market in terms of historic data, current market situations, market demand along with detailed analysis of the key players involved in the market.Affective Computing Industry report also provides essential attributes associated with Affective Computing market and act an essential tool to companies active across the value chain and to the newcomer by enabling them to capitalize the opportunities and develop business strategies.
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Global Affective Computing Market focuses on the, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa.Affective Computing business report categorizes the market based on manufacturers, regions, type and application. From a global perspective, this report represents Affective Computing market in-depth outlook by analyzing historical statistics and future prospect.
TOP MOST PLAYERS:
Market Segment by Type, covers:
Market Segment by Applications, can be divided into:
Media & Advertisement
The prospective of this Affective Computing industry study delivers the key industry dynamic with respect to driving & limiting factors with their current and expected impact on market growth. Moreover, Affective Computing present market share and future prospects of the segment in terms of has also been explored in this report.
Global Affective Computing market report showcases qualitative and quantitative estimation by industry analysts, first-hand data, and assistance from industry experts along with each industry manufacturers by the market valuation. Affective Computing report also gives extensive analysis of market share, latest industry trends and forecast data analysis with respect to sales revenue, market growth, and demand and supply scenario.
Conclusively, the Affective Computing Market report provides major statistics on the state of the industry also it is considered as an essential source of guidance and direction for businesses and individuals involved in the market.