Global Affective Computing Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global Affective Computing Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Page: 104

Published Date: 18 Mar 2023

Category: New Technology

PDF Download

Get FREE Sample

Customize Request

  • sp_icon1 sp_icon1_b Description
  • sp_icon2 sp_icon2_b Table of Contents
  • sp_icon3 sp_icon3_b Table of Figures
  • sp_icon4 sp_icon4_b Research Methodology
  • sp_icon1 sp_icon1_b Related Reports
  • sp_icon1 sp_icon1_b Product Tags
btl

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. 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.

According to our latest research, the global Affective Computing market size will reach USD 9682.5 million in 2029, growing at a CAGR of 41.3% over the analysis 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.

Market segmentation
Affective Computing market is split by Type and by Application. For the period 2023-2029, 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 2023 to 2029.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2023 to 2029.
Chapter 7 and 8, to describe Affective Computing research findings and conclusion, appendix and data source.
btl

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: 2022 Versus 2028
1.2.2 Global Affective Computing Revenue Market Share by Type in 2029
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: 2023 Versus 2029
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 (2023 & 2029)
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: 2023 VS 2029
4.2 Global Affective Computing Market Size by Region, (2023-2029)
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 (2023-2029)
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 (2023-2029)
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 (2023-2029)
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 (2023-2029)
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 (2023-2029)

5 Market Size Segment by Type
5.1 Global Affective Computing Market Forecast by Type (2023-2029)
5.2 Global Affective Computing Market Share Forecast by Type (2023-2029)

6 Market Size Segment by Application
6.1 Global Affective Computing Market Forecast by Application (2023-2029)
6.2 Global Affective Computing Market Share Forecast by Application (2023-2029)

7 Research Findings and Conclusion

8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
btl

Table of Figures

List of Tables
Table 1. Global Affective Computing Revenue by Type, (USD Million), 2023 VS 2029
Table 2. Global Affective Computing Revenue by Application, (USD Million), 2023 VS 2029
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 (2023 & 2029)
Table 37. Global Affective Computing Revenue Share by Players (2023 & 2029)
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 (2023 VS 2029)
Table 42. Global Affective Computing Revenue Market Share by Region (2023-2029)
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 (2023-2029)
Table 57. Global Affective Computing Revenue Forecast by Application (2023-2029)
List of Figures
Figure 1. Affective Computing Picture
Figure 2. Global Affective Computing Revenue Market Share by Type in 2029
Figure 3. Touch-Based
Figure 4. Touchless
Figure 5. Affective Computing Revenue Market Share by Application in 2029
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): 2023 VS 2029
Figure 12. Global Affective Computing Revenue and Forecast (2023-2029) & (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 (2023-2029)
Figure 28. Global Affective Computing Revenue Market Share by Region in 2029
Figure 29. North America Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 30. Europe Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 31. Asia-Pacific Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 32. South America Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 33. Middle East & Africa Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 34. Global Affective Computing Market Share Forecast by Type (2023-2029)
Figure 35. Global Affective Computing Market Share Forecast by Application (2023-2029)
Figure 36. Methodology
Figure 37. Research Process and Data Source
btl

Research Methodology

Client Requirements

yuan2

Review and analyze client requirements

yuan2

Discussion of all the project requirements and queries

Flexibility Check

yuan2

Project Feasibility Analysis

yuan2

Finalizing tentative research programme

yuan2

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

yuan2

Determination of key drivers, restraints, challenge, and opportunity

yuan2

Identifies market needs and trends

Market Size Estimation & Forecast

yuan2

Estimation of historical data based on secondary and primary data

yuan2

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

yuan2

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

yuan2

Consideration of geography, region-specific product/service demand for region segments

yuan2

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

tuBiao1

Data Source

yuan2

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

yuan2

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

yuan2

Collection of data

yuan2

Cumulating and collating the essential qualitative and quantitative data

yuan2

Generation of report in client requested format by research analysts

yuan2

Reviews by expert analysts

yuan2

Final quality check

yuan2

Clarifying queries

yuan2

Receiving feedback

yuan2

Ensuring satisfaction

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

shop_t

Purchase Options

jiaGou

Add To Cart

jiaGou

Buy Now

masterCard
visa
jcb
americanExpress
shop_b
Global Affective Computing Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global Affective Computing Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Page: 104

Published Date: 18 Mar 2023

Category: New Technology

PDF Download

Get FREE Sample

Customize Request

Description

arrow-d3
btl

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. 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.

According to our latest research, the global Affective Computing market size will reach USD 9682.5 million in 2029, growing at a CAGR of 41.3% over the analysis 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.

Market segmentation
Affective Computing market is split by Type and by Application. For the period 2023-2029, 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 2023 to 2029.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2023 to 2029.
Chapter 7 and 8, to describe Affective Computing research findings and conclusion, appendix and data source.
btl

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: 2022 Versus 2028
1.2.2 Global Affective Computing Revenue Market Share by Type in 2029
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: 2023 Versus 2029
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 (2023 & 2029)
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: 2023 VS 2029
4.2 Global Affective Computing Market Size by Region, (2023-2029)
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 (2023-2029)
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 (2023-2029)
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 (2023-2029)
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 (2023-2029)
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 (2023-2029)

5 Market Size Segment by Type
5.1 Global Affective Computing Market Forecast by Type (2023-2029)
5.2 Global Affective Computing Market Share Forecast by Type (2023-2029)

6 Market Size Segment by Application
6.1 Global Affective Computing Market Forecast by Application (2023-2029)
6.2 Global Affective Computing Market Share Forecast by Application (2023-2029)

7 Research Findings and Conclusion

8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
btl

Table of Figures

List of Tables
Table 1. Global Affective Computing Revenue by Type, (USD Million), 2023 VS 2029
Table 2. Global Affective Computing Revenue by Application, (USD Million), 2023 VS 2029
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 (2023 & 2029)
Table 37. Global Affective Computing Revenue Share by Players (2023 & 2029)
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 (2023 VS 2029)
Table 42. Global Affective Computing Revenue Market Share by Region (2023-2029)
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 (2023-2029)
Table 57. Global Affective Computing Revenue Forecast by Application (2023-2029)
List of Figures
Figure 1. Affective Computing Picture
Figure 2. Global Affective Computing Revenue Market Share by Type in 2029
Figure 3. Touch-Based
Figure 4. Touchless
Figure 5. Affective Computing Revenue Market Share by Application in 2029
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): 2023 VS 2029
Figure 12. Global Affective Computing Revenue and Forecast (2023-2029) & (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 (2023-2029)
Figure 28. Global Affective Computing Revenue Market Share by Region in 2029
Figure 29. North America Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 30. Europe Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 31. Asia-Pacific Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 32. South America Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 33. Middle East & Africa Affective Computing Revenue (USD Million) and Growth Rate (2023-2029)
Figure 34. Global Affective Computing Market Share Forecast by Type (2023-2029)
Figure 35. Global Affective Computing Market Share Forecast by Application (2023-2029)
Figure 36. Methodology
Figure 37. Research Process and Data Source
btl

Research Methodology

Client Requirements

yuan2

Review and analyze client requirements

yuan2

Discussion of all the project requirements and queries

Flexibility Check

yuan2

Project Feasibility Analysis

yuan2

Finalizing tentative research programme

yuan2

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

yuan2

Determination of key drivers, restraints, challenge, and opportunity

yuan2

Identifies market needs and trends

Market Size Estimation & Forecast

yuan2

Estimation of historical data based on secondary and primary data

yuan2

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

yuan2

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

yuan2

Consideration of geography, region-specific product/service demand for region segments

yuan2

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

tuBiao1

Data Source

yuan2

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

yuan2

Discussion of all the project requirements and queries

Validation and triangulation of secondary and primary source.

yuan2

Collection of data

yuan2

Cumulating and collating the essential qualitative and quantitative data

yuan2

Generation of report in client requested format by research analysts

yuan2

Reviews by expert analysts

yuan2

Final quality check

yuan2

Clarifying queries

yuan2

Receiving feedback

yuan2

Ensuring satisfaction

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

jiaGou

Add To Cart

gouMai

Buy Now