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.
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.
Report Includes
This report presents an overview of global market for Affective Computing, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of Affective Computing, also provides the revenue of main regions and countries. Of the upcoming market potential for Affective Computing, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Affective Computing revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global Affective Computing market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for Affective Computing revenue, projected growth trends, production technology, application and end-user industry.
Affective Computing Segment by Company
- IBM
- Microsoft
- Eyesight Technologies
- Affectiva
- NuraLogix
- gestigon GmbH
- Crowd Emotion
- Beyond Verbal
- nViso
- Cogito
- Kairos
Affective Computing Segment by Type
Affective Computing Segment by Application
- Market Research
- Healthcare
- Media & Advertisement
- Automotive
- Others
Affective Computing Segment by Region
- North America
- United States
- Canada
- Mexico
- Europe
- Germany
- France
- U.K.
- Italy
- Russia
- Spain
- Netherlands
- Switzerland
- Sweden
- Poland
- Asia-Pacific
- China
- Japan
- South Korea
- India
- Australia
- Taiwan
- Southeast Asia
- South America
- Brazil
- Argentina
- Chile
- Middle East & Africa
- Egypt
- South Africa
- Israel
- Türkiye
- GCC Countries
Study Objectives
- To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
- To present the key players, revenue, market share, and Recent Developments.
- To split the breakdown data by regions, type, manufacturers, and Application.
- To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
- To identify significant trends, drivers, influence factors in global and regions.
- To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
- This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Affective Computing market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
- This report will help stakeholders to understand the global industry status and trends of Affective Computing and provides them with information on key market drivers, restraints, challenges, and opportunities.
- This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
- This report stays updated with novel technology integration, features, and the latest developments in the market.
- This report helps stakeholders to gain insights into which regions to target globally.
- This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Affective Computing.
- This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
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. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: 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 3: Revenue of Affective Computing in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of Affective Computing company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: 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 6: 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 7: 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 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
