Description
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.
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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.
In 2018, the global Affective Computing market size was 200 million US$ and it is expected to reach 3530 million US$ by the end of 2025, with a CAGR of 43.2% during 2019-2025.
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 United States, Europe and China.
The key players covered in this study
IBM
Microsoft
Eyesight Technologies
Affectiva
NuraLogix
gestigon GmbH
Crowd Emotion
Beyond Verbal
nViso
Cogito Corporation
Kairos
Market analysis by product type
Touch-Based
Touchless
Market analysis by market
Market Research
Healthcare
Media & Advertisement
Automotive
Others
Regional Description
In order to understand the different consumers in the global market, this study analyzed and compared the different key players in the global space. It classified the apparent consumption of the product/services in various regions across the globe such as North America, Europe, Latin America, Asia Pacific and the Middle East and Africa. This report extrapolated the data and reported threats and opportunities which will prevail in the industry in the upcoming years. Furthermore, this report profiled each of the key players in the above-mentioned regions based on their growth rate, production capacity and revenue generation.
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Table of Contents
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.2 Touch-Based
1.4.3 Touchless
1.5 Market by Application
1.5.1 Global Affective Computing Market Share by Application (2018-2025)
1.5.2 Market Research
1.5.3 Healthcare
1.5.4 Media & Advertisement
1.5.5 Automotive
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
2 Executive Summary
2.1 Affective Computing Market Size
2.2 Affective Computing Growth Trends by Regions
2.2.1 Affective Computing Market Size by Regions (2018-2025)
2.2.2 Affective Computing Market Share by Regions (2018-2025)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Use Cases
…
9 International Players Profiles
9.1 IBM
9.1.1 IBM Company Details
9.1.2 Company Description and Business Overview
9.1.3 Affective Computing Introduction
9.1.4 IBM Revenue in Affective Computing Business (2018-2019)
9.1.5 IBM Recent Development
9.2 Microsoft
9.2.1 Microsoft Company Details
9.2.2 Company Description and Business Overview
9.2.3 Affective Computing Introduction
9.2.4 Microsoft Revenue in Affective Computing Business (2018-2019)
9.2.5 Microsoft Recent Development
9.3 Eyesight Technologies
9.3.1 Eyesight Technologies Company Details
9.3.2 Company Description and Business Overview
9.3.3 Affective Computing Introduction
9.3.4 Eyesight Technologies Revenue in Affective Computing Business (2018-2019)
9.3.5 Eyesight Technologies Recent Development
9.4 Affectiva
9.4.1 Affectiva Company Details
9.4.2 Company Description and Business Overview
9.4.3 Affective Computing Introduction
9.4.4 Affectiva Revenue in Affective Computing Business (2018-2019)
9.4.5 Affectiva Recent Development
9.5 NuraLogix
9.5.1 NuraLogix Company Details
9.5.2 Company Description and Business Overview
9.5.3 Affective Computing Introduction
9.5.4 NuraLogix Revenue in Affective Computing Business (2017-2018)
9.5.5 NuraLogix Recent Development
9.6 gestigon GmbH
9.6.1 gestigon GmbH Company Details
9.6.2 Company Description and Business Overview
9.6.3 Affective Computing Introduction
9.6.4 gestigon GmbH Revenue in Affective Computing Business (2017-2018)
9.6.5 gestigon GmbH Recent Development
9.7 Crowd Emotion
9.7.1 Crowd Emotion Company Details
9.7.2 Company Description and Business Overview
9.7.3 Affective Computing Introduction
9.7.4 Crowd Emotion Revenue in Affective Computing Business (2018-2019)
9.7.5 Crowd Emotion Recent Development
9.8 Beyond Verbal
9.8.1 Beyond Verbal Company Details
9.8.2 Company Description and Business Overview
9.8.3 Affective Computing Introduction
9.8.4 Beyond Verbal Revenue in Affective Computing Business (2018-2019)
9.8.5 Beyond Verbal Recent Development
9.9 nViso
9.9.1 nViso Company Details
9.9.2 Company Description and Business Overview
9.9.3 Affective Computing Introduction
9.9.4 nViso Revenue in Affective Computing Business (2018-2019)
9.9.5 nViso Recent Development
9.10 Cogito Corporation
9.10.1 Cogito Corporation Company Details
9.10.2 Company Description and Business Overview
9.10.3 Affective Computing Introduction
9.10.4 Cogito Corporation Revenue in Affective Computing Business (2018-2019)
9.10.5 Cogito Corporation Recent Development
9.11 Kairos
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