Market Executive Summary

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. Affective computing technologies sense the emotional state of a user (via sensors, microphone, cameras and/or software logic) and respond by performing specific, predefined product/service features, such as changing a quiz or recommending a set of videos to fit the mood of the learner.

The global Affective Computing market size was US$ 835 million in 2023 and is forecast to a readjusted size of US$ 10580 million by 2030 with a CAGR of 43.2% during the forecast period 2024-2030. Fully considering the economic change by this health crisis, Touch-Based accounting for % of the Affective Computing global market in 2023, is projected to value US$ million by 2030, growing at a revised ?GR from 2024 to 2030. While Market Research segment is altered to an ?GR throughout this forecast period.

Global Affective Computing key players include IBM, Microsoft, Affectiva, Beyond Verbal, Kairos, etc. Global top five manufacturers hold a share about 70%. North America is the largest market, with a share about 35%, followed by Europe, with a share about 30 percent. In terms of product, Touchless is the largest segment, with a share about 70%. And in terms of application, the largest application is Market Research, followed by Media & Advertisement, Healthcare, Automotive, etc.

The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global Affective Computing market. The analysts authoring the report have closely studied key strategies adopted by top players of the global Affective Computing market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global Affective Computing market. Readers of the report can become informed about current and future trends of the global Affective Computing market and how they will impact market growth during the forecast period.

Market Segmentation

Global Affective Computing Companies Covered

IBM, Microsoft, Eyesight Technologies, Affectiva, NuraLogix, gestigon GmbH, Crowd Emotion, Beyond Verbal, nViso, Cogito, Kairos

Global Affective Computing Market, by Region

North America (U.S., Canada, Mexico)

Europe (Germany, France, UK, Italy, etc.)

Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

South America (Brazil, etc.)

Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global Affective Computing Market, Segment by Type

Touch-Based

Touchless

Global Affective Computing Market, Segment by Application

Market Research

Healthcare

Media & Advertisement

Automotive

Others

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on.

Chapter 2: Revenue of Affective Computing in global and regional level.

Chapter 3: Detailed analysis of Affective Computing companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 5: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 6: North America (US & Canada) by type, by application and by country, revenue for each segment.

Chapter 7: Europe by type, by application and by country, revenue for each segment.

Chapter 8: Asia Pacific by type, by application and by region, revenue for each segment.

Chapter 9: Latin America by type, by application and by country, revenue for each segment.

Chapter 10: Middle East and Africa, by type, by application and by country, revenue for each segment.

Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Affective Computing revenue, gross margin, and recent development, etc.

Chapter 12: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 13: Research Findings and Conclusion

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