Global Affective Computing Market 2024 by Company, Regions, Type and Application, Forecast to 2030
Page: 102
Published Date: 02 Jan 2024
Category: New Technology
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- Description
- Table of Contents
- Table of Figures
- Research Methodology
- Companies Mentioned
- Related Reports
- Product Tags
Description
According to our latest research, the global Affective Computing market size will reach USD 9682.5 million in 2030, growing at a CAGR of 41.3% over the analysis period.
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 Affective Computing market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
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.
Market segmentation
Affective Computing market is split by Type and by Application. For the period 2024-2030, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type, covers
Touch-Based
Touchless
Market segment by Application, can be divided into
Market Research
Healthcare
Media & Advertisement
Automotive
Others
Market segment by players, this report covers
IBM
Microsoft
Eyesight Technologies
Affectiva
NuraLogix
gestigon GmbH
Crowd Emotion
Beyond Verbal
nViso
Cogito
Kairos
Market segment by regions, regional analysis covers
North America
Europe
Asia-Pacific (China, Japan, South Korea, Rest of Asia-Pacific)
South America
Middle East & Africa
The content of the study subjects, includes a total of 8 chapters:
Chapter 1, to describe Affective Computing product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Affective Computing, with recent developments and future plans
Chapter 3, the Affective Computing competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4, to break the market size data at the region level, with key companies in the key region and Affective Computing market forecast, by regions, with revenue, from 2024 to 2030.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2024 to 2030.
Chapter 7 and 8, to describe Affective Computing research findings and conclusion, appendix and data source.
Table of Contents
1 Market Overview
1.1 Product Overview and Scope of Affective Computing
1.2 Classification of Affective Computing by Type
1.2.1 Overview: Global Affective Computing Market Size by Type: 2024 Versus 2030
1.2.2 Global Affective Computing Revenue Market Share by Type in 2030
1.2.3 Touch-Based
1.2.4 Touchless
1.3 Global Affective Computing Market by Application
1.3.1 Overview: Global Affective Computing Market Size by Application: 2024 Versus 2030
1.3.2 Market Research
1.3.3 Healthcare
1.3.4 Media & Advertisement
1.3.5 Automotive
1.3.6 Others
1.4 Global Affective Computing Market Size & Forecast
1.5 Market Drivers, Restraints and Trends
1.5.1 Affective Computing Market Drivers
1.5.2 Affective Computing Market Restraints
1.5.3 Affective Computing Trends Analysis
2 Company Profiles
2.1 IBM
2.1.1 IBM Details
2.1.2 IBM Major Business
2.1.3 IBM Affective Computing Product and Solutions
2.1.4 IBM Recent Developments and Future Plans
2.2 Microsoft
2.2.1 Microsoft Details
2.2.2 Microsoft Major Business
2.2.3 Microsoft Affective Computing Product and Solutions
2.2.4 Microsoft Recent Developments and Future Plans
2.3 Eyesight Technologies
2.3.1 Eyesight Technologies Details
2.3.2 Eyesight Technologies Major Business
2.3.3 Eyesight Technologies Affective Computing Product and Solutions
2.3.4 Eyesight Technologies Recent Developments and Future Plans
2.4 Affectiva
2.4.1 Affectiva Details
2.4.2 Affectiva Major Business
2.4.3 Affectiva Affective Computing Product and Solutions
2.4.4 Affectiva Recent Developments and Future Plans
2.5 NuraLogix
2.5.1 NuraLogix Details
2.5.2 NuraLogix Major Business
2.5.3 NuraLogix Affective Computing Product and Solutions
2.5.4 NuraLogix Recent Developments and Future Plans
2.6 gestigon GmbH
2.6.1 gestigon GmbH Details
2.6.2 gestigon GmbH Major Business
2.6.3 gestigon GmbH Affective Computing Product and Solutions
2.6.4 gestigon GmbH Recent Developments and Future Plans
2.7 Crowd Emotion
2.7.1 Crowd Emotion Details
2.7.2 Crowd Emotion Major Business
2.7.3 Crowd Emotion Affective Computing Product and Solutions
2.7.4 Crowd Emotion Recent Developments and Future Plans
2.8 Beyond Verbal
2.8.1 Beyond Verbal Details
2.8.2 Beyond Verbal Major Business
2.8.3 Beyond Verbal Affective Computing Product and Solutions
2.8.4 Beyond Verbal Recent Developments and Future Plans
2.9 nViso
2.9.1 nViso Details
2.9.2 nViso Major Business
2.9.3 nViso Affective Computing Product and Solutions
2.9.4 nViso Recent Developments and Future Plans
2.10 Cogito
2.10.1 Cogito Details
2.10.2 Cogito Major Business
2.10.3 Cogito Affective Computing Product and Solutions
2.10.4 Cogito Recent Developments and Future Plans
2.11 Kairos
2.11.1 Kairos Details
2.11.2 Kairos Major Business
2.11.3 Kairos Affective Computing Product and Solutions
2.11.4 Kairos Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Affective Computing Revenue and Share by Players (2024 & 2030)
3.2 Affective Computing Players Head Office, Products and Services Provided
3.3 Affective Computing Mergers & Acquisitions
3.4 Affective Computing New Entrants and Expansion Plans
4 Global Affective Computing Forecast by Region
4.1 Global Affective Computing Market Size by Region: 2024 VS 2030
4.2 Global Affective Computing Market Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of Affective Computing in North America
4.3.2 Current Situation and Forecast of Affective Computing in North America
4.3.3 North America Affective Computing Market Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of Affective Computing in Europe
4.4.2 Current Situation and Forecast of Affective Computing in Europe
4.4.3 Europe Affective Computing Market Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of Affective Computing in Asia-Pacific
4.5.2 Current Situation and Forecast of Affective Computing in Asia-Pacific
4.5.3 Asia-Pacific Affective Computing Market Size and Prospect (2024-2030)
4.5.4 China
4.5.5 Japan
4.5.6 South Korea
4.6 South America
4.6.1 Key Companies of Affective Computing in South America
4.6.2 Current Situation and Forecast of Affective Computing in South America
4.6.3 South America Affective Computing Market Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of Affective Computing in Middle East & Africa
4.7.2 Current Situation and Forecast of Affective Computing in Middle East & Africa
4.7.3 Middle East & Africa Affective Computing Market Size and Prospect (2024-2030)
5 Market Size Segment by Type
5.1 Global Affective Computing Market Forecast by Type (2024-2030)
5.2 Global Affective Computing Market Share Forecast by Type (2024-2030)
6 Market Size Segment by Application
6.1 Global Affective Computing Market Forecast by Application (2024-2030)
6.2 Global Affective Computing Market Share Forecast by Application (2024-2030)
7 Research Findings and Conclusion
8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
Table of Figures
List of Tables
Table 1. Global Affective Computing Revenue by Type, (USD Million), 2024 VS 2030
Table 2. Global Affective Computing Revenue by Application, (USD Million), 2024 VS 2030
Table 3. IBM Corporate Information, Head Office, and Major Competitors
Table 4. IBM Major Business
Table 5. IBM Affective Computing Product and Solutions
Table 6. Microsoft Corporate Information, Head Office, and Major Competitors
Table 7. Microsoft Major Business
Table 8. Microsoft Affective Computing Product and Solutions
Table 9. Eyesight Technologies Corporate Information, Head Office, and Major Competitors
Table 10. Eyesight Technologies Major Business
Table 11. Eyesight Technologies Affective Computing Product and Solutions
Table 12. Affectiva Corporate Information, Head Office, and Major Competitors
Table 13. Affectiva Major Business
Table 14. Affectiva Affective Computing Product and Solutions
Table 15. NuraLogix Corporate Information, Head Office, and Major Competitors
Table 16. NuraLogix Major Business
Table 17. NuraLogix Affective Computing Product and Solutions
Table 18. gestigon GmbH Corporate Information, Head Office, and Major Competitors
Table 19. gestigon GmbH Major Business
Table 20. gestigon GmbH Affective Computing Product and Solutions
Table 21. Crowd Emotion Corporate Information, Head Office, and Major Competitors
Table 22. Crowd Emotion Major Business
Table 23. Crowd Emotion Affective Computing Product and Solutions
Table 24. Beyond Verbal Corporate Information, Head Office, and Major Competitors
Table 25. Beyond Verbal Major Business
Table 26. Beyond Verbal Affective Computing Product and Solutions
Table 27. nViso Corporate Information, Head Office, and Major Competitors
Table 28. nViso Major Business
Table 29. nViso Affective Computing Product and Solutions
Table 30. Cogito Corporate Information, Head Office, and Major Competitors
Table 31. Cogito Major Business
Table 32. Cogito Affective Computing Product and Solutions
Table 33. Kairos Corporate Information, Head Office, and Major Competitors
Table 34. Kairos Major Business
Table 35. Kairos Affective Computing Product and Solutions
Table 36. Global Affective Computing Revenue (USD Million) by Players (2024 & 2030)
Table 37. Global Affective Computing Revenue Share by Players (2024 & 2030)
Table 38. Affective Computing Players Head Office, Products and Services Provided
Table 39. Affective Computing Mergers & Acquisitions in the Past Five Years
Table 40. Affective Computing New Entrants and Expansion Plans
Table 41. Global Market Affective Computing Revenue (USD Million) Comparison by Region (2024 VS 2030)
Table 42. Global Affective Computing Revenue Market Share by Region (2024-2030)
Table 43. Key Companies of Affective Computing in North America
Table 44. Current Situation and Forecast of Affective Computing in North America
Table 45. Key Companies of Affective Computing in Europe
Table 46. Current Situation and Forecast of Affective Computing in Europe
Table 47. Key Companies of Affective Computing in Asia-Pacific
Table 48. Current Situation and Forecast of Affective Computing in Asia-Pacific
Table 49. Key Companies of Affective Computing in China
Table 50. Key Companies of Affective Computing in Japan
Table 51. Key Companies of Affective Computing in South Korea
Table 52. Key Companies of Affective Computing in South America
Table 53. Current Situation and Forecast of Affective Computing in South America
Table 54. Key Companies of Affective Computing in Middle East & Africa
Table 55. Current Situation and Forecast of Affective Computing in Middle East & Africa
Table 56. Global Affective Computing Revenue Forecast by Type (2024-2030)
Table 57. Global Affective Computing Revenue Forecast by Application (2024-2030)
List of Figures
Figure 1. Affective Computing Picture
Figure 2. Global Affective Computing Revenue Market Share by Type in 2030
Figure 3. Touch-Based
Figure 4. Touchless
Figure 5. Affective Computing Revenue Market Share by Application in 2030
Figure 6. Market Research Picture
Figure 7. Healthcare Picture
Figure 8. Media & Advertisement Picture
Figure 9. Automotive Picture
Figure 10. Others Picture
Figure 11. Global Affective Computing Market Size, (USD Million): 2024 VS 2030
Figure 12. Global Affective Computing Revenue and Forecast (2024-2030) & (USD Million)
Figure 13. Affective Computing Market Drivers
Figure 14. Affective Computing Market Restraints
Figure 15. Affective Computing Market Trends
Figure 16. IBM Recent Developments and Future Plans
Figure 17. Microsoft Recent Developments and Future Plans
Figure 18. Eyesight Technologies Recent Developments and Future Plans
Figure 19. Affectiva Recent Developments and Future Plans
Figure 20. NuraLogix Recent Developments and Future Plans
Figure 21. gestigon GmbH Recent Developments and Future Plans
Figure 22. Crowd Emotion Recent Developments and Future Plans
Figure 23. Beyond Verbal Recent Developments and Future Plans
Figure 24. nViso Recent Developments and Future Plans
Figure 25. Cogito Recent Developments and Future Plans
Figure 26. Kairos Recent Developments and Future Plans
Figure 27. Global Affective Computing Revenue Market Share by Region (2024-2030)
Figure 28. Global Affective Computing Revenue Market Share by Region in 2030
Figure 29. North America Affective Computing Revenue (USD Million) and Growth Rate (2024-2030)
Figure 30. Europe Affective Computing Revenue (USD Million) and Growth Rate (2024-2030)
Figure 31. Asia-Pacific Affective Computing Revenue (USD Million) and Growth Rate (2024-2030)
Figure 32. South America Affective Computing Revenue (USD Million) and Growth Rate (2024-2030)
Figure 33. Middle East & Africa Affective Computing Revenue (USD Million) and Growth Rate (2024-2030)
Figure 34. Global Affective Computing Market Share Forecast by Type (2024-2030)
Figure 35. Global Affective Computing Market Share Forecast by Application (2024-2030)
Figure 36. Methodology
Figure 37. Research Process and Data Source
Research Methodology
Client Requirements
Review and analyze client requirements
Discussion of all the project requirements and queries
Flexibility Check
Project Feasibility Analysis
Finalizing tentative research programme
Structuring project proposal with scope, timeline, and costs
Analyzing Market Dynamics
Determination of key drivers, restraints, challenge, and opportunity
Identifies market needs and trends
Market Size Estimation & Forecast
Estimation of historical data based on secondary and primary data
Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)
Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies
Consideration of geography, region-specific product/service demand for region segments
Consideration of product utilization rates, product demand outlook for segments by application or end-user.
Data Source
Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports,
paid database, press releases, blogs, newsletters,and GIR repositories.
Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts
to verify insights.
Validation
and
triangulation of
secondary and primary source.
Collection of data
Cumulating and collating the essential qualitative and quantitative data
Generation of report in client requested format by research analysts
Reviews by expert analysts
Final quality check
Clarifying queries
Receiving feedback
Ensuring satisfaction
01 Identification of data
This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
02 Evaluation of Market Dynamic
This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
03 Collection of Data
This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
04 Collaboration of Data
This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis
This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.
Companies Mentioned
IBM Microsoft Eyesight Technologies Affectiva NuraLogix gestigon GmbH Crowd Emotion Beyond Verbal nViso Cogito Kairos
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