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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 , Kairos are some of the major market players in this market.
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.
In 2021, the global Affective Computing market size will be US$ 886.9 million and it is expected to reach US$ 5180.6 million by the end of 2027, with a CAGR of 34.2% during 2021-2027.
This report focuses on the global Affective Computing status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the Affective Computing development in North America, Europe, Japan, China, Southeast Asia, India, etc.
Global Affective Computing Scope and Market Size
Affective Computing market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Affective Computing market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Touch-Based
Touchless
Segment by Application
Market Research
Healthcare
Media & Advertisement
Automotive
Others
By Region
North America
Europe
Japan
China
Southeast Asia
India
By Company
IBM
Microsoft
Eyesight Technologies
Affectiva
NuraLogix
gestigon GmbH
Crowd Emotion
Beyond Verbal
nViso
Cogito
Kairos
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 , Kairos are some of the major market players in this market.
Other prominent vendors
include Crowd Emotion, NuraLogix, iMotions, Drive.ai, the Affective Computing 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.
In 2021, the global Affective Computing market size will be US$ 886.9 million and it is expected to reach US$ 5180.6 million by the end of 2027, with a CAGR of 34.2% during 2021-2027.
This report focuses on the global Affective Computing status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the Affective Computing development in North America, Europe, Japan, China, Southeast Asia, India, etc.
Global Affective Computing Scope and Market Size
Affective Computing market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Affective Computing market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Touch-Based
Touchless
Segment by Application
Market Research
Healthcare
Media & Advertisement
Automotive
Others
By Region
North America
Europe
Japan
China
Southeast Asia
India
By Company
IBM
Microsoft
Eyesight Technologies
Affectiva
NuraLogix
gestigon GmbH
Crowd Emotion
Beyond Verbal
nViso
Cogito
Kairos
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
