The global market for Multimodal Affective Computing was valued at US$ 20100 million in the year 2024 and is projected to reach a revised size of US$ 69240 million by 2031, growing at a CAGR of 22.0% during the forecast period.

Multimodal Affective Computing Market

Multimodal affective computing refers to the use of multiple sensory modalities (such as speech, facial expressions, text, gestures, brain waves, and physiological signals) to recognize, analyze, and infer human emotional states. These different modalities are integrated through data fusion techniques to provide a more comprehensive and accurate understanding of emotions. Compared to single-modal affective computing, multimodal systems can process more dimensions of data, making emotion analysis more refined and accurate, especially in complex scenarios. For instance, combining speech intonation with facial expressions can offer a more precise understanding of a user’s emotional state.

Products based on multimodal affective computing are widely used in various fields such as intelligent customer service, health monitoring, market research, personalized recommendations, and smart homes. Common products include systems that integrate speech recognition, facial recognition, and emotion analysis technologies, offering more personalized and emotionally aware services. Examples include intelligent assistant systems, emotion-interactive robots, and online education platforms.

The market for multimodal affective computing is rapidly growing, driven by several key factors:

Advancements in AI Technologies: Continuous improvements in deep learning, natural language processing, and computer vision enhance the accuracy and scope of multimodal affective computing. For example, combining speech recognition with emotion analysis allows voice assistants to more accurately detect user emotions and respond appropriately.

Increased Demand for Personalized Services: As consumers demand more personalized and customized experiences, businesses use multimodal affective computing to optimize user interaction and enhance customer satisfaction. For example, combining facial expressions and speech emotion analysis enables systems to provide more human-like feedback.

Expansion into Cross-Industry Applications: Beyond traditional sectors like customer service, retail, education, and healthcare, multimodal affective computing is expanding into emerging industries like entertainment, finance, and automotive, diversifying market growth.

Risks Facing the Market

Privacy and Ethical Concerns: Multimodal affective computing involves various personal data, especially facial recognition and physiological data, raising concerns about privacy breaches and ethical issues. Users are becoming increasingly sensitive to data collection practices.

Challenges in Data Integration: Despite technological advancements, processing and integrating multimodal data presents challenges. Accurate fusion of different modalities while minimizing noise interference remains a significant hurdle.

Market Concentration and Downstream Demand Trends

Currently, the multimodal affective computing market is relatively fragmented, with major tech companies like Google, Microsoft, and Amazon having strong footholds. However, many innovative startups are also entering the space, driving technological diversity and product innovation. As technology matures and industry standards emerge, market concentration may increase.

Downstream demand remains strong in intelligent customer service and user experience optimization, particularly in industries like e-commerce, finance, and healthcare, where businesses leverage emotion computing to enhance customer satisfaction and loyalty. Additionally, the technology has significant potential in sectors like education, entertainment, and mental health, particularly in aging societies.

This report aims to provide a comprehensive presentation of the global market for Multimodal Affective Computing, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Multimodal Affective Computing.

The Multimodal Affective Computing market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Multimodal Affective Computing market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Multimodal Affective Computing companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

Scope of Multimodal Affective Computing Market Report

Report Metric	Details
Report Name	Multimodal Affective Computing Market
Accounted market size in year	US$ 20100 million
Forecasted market size in 2031	US$ 69240 million
CAGR	22.0%
Base Year	year
Forecasted years	2025 - 2031
Segment by Type	Contact Contactless
Segment by Application	Customer Service Healthcare Education Security Entertainment Others
By Region	North America (United States, Canada) Europe (Germany, France, UK, Italy, Russia) Rest of Europe Nordic Countries Asia-Pacific (China, Japan, South Korea) Southeast Asia (India, Australia) Rest of Asia Latin America (Mexico, Brazil) Rest of Latin America Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company	Microsoft (Azure Cognitive Services - Emotion API), IBM (Watson Tone Analyzer), Google (DialogFlow - Emotion Detection), Sensum, Hewlett Packard Enterprise (HPE), Moodstocks (Acquired by Google), Clarifai, EmoTech, XOXCO (Fritz AI), Cogito (formerly Cogito Corp)
Forecast units	USD million in value
Report coverage	Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Multimodal Affective Computing company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size 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 market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

FAQ for this report

How fast is Multimodal Affective Computing Market growing?

Ans: The Multimodal Affective Computing Market witnessing a CAGR of 22.0% during the forecast period 2025-2031.

What is the Multimodal Affective Computing Market size in 2031?

Ans: The Multimodal Affective Computing Market size in 2031 will be US$ 69240 million.

Who are the main players in the Multimodal Affective Computing Market report?

Ans: The main players in the Multimodal Affective Computing Market are Microsoft (Azure Cognitive Services - Emotion API), IBM (Watson Tone Analyzer), Google (DialogFlow - Emotion Detection), Sensum, Hewlett Packard Enterprise (HPE), Moodstocks (Acquired by Google), Clarifai, EmoTech, XOXCO (Fritz AI), Cogito (formerly Cogito Corp)

What are the Application segmentation covered in the Multimodal Affective Computing Market report?

Ans: The Applications covered in the Multimodal Affective Computing Market report are Customer Service, Healthcare, Education, Security, Entertainment, Others

What are the Type segmentation covered in the Multimodal Affective Computing Market report?

Ans: The Types covered in the Multimodal Affective Computing Market report are Contact, Contactless

1 Report Overview

1.1 Study Scope

1.2 Market Analysis by Type

1.2.1 Global Multimodal Affective Computing Market Size Growth Rate by Type: 2020 VS 2024 VS 2031

1.2.2 Contact

1.2.3 Contactless

1.3 Market by Application

1.3.1 Global Multimodal Affective Computing Market Growth by Application: 2020 VS 2024 VS 2031

1.3.2 Customer Service

1.3.3 Healthcare

1.3.4 Education

1.3.5 Security

1.3.6 Entertainment

1.3.7 Others

1.4 Assumptions and Limitations

1.5 Study Objectives

1.6 Years Considered

2 Global Growth Trends

2.1 Global Multimodal Affective Computing Market Perspective (2020-2031)

2.2 Global Multimodal Affective Computing Growth Trends by Region

2.2.1 Global Multimodal Affective Computing Market Size by Region: 2020 VS 2024 VS 2031

2.2.2 Multimodal Affective Computing Historic Market Size by Region (2020-2025)

2.2.3 Multimodal Affective Computing Forecasted Market Size by Region (2026-2031)

2.3 Multimodal Affective Computing Market Dynamics

2.3.1 Multimodal Affective Computing Industry Trends

2.3.2 Multimodal Affective Computing Market Drivers

2.3.3 Multimodal Affective Computing Market Challenges

2.3.4 Multimodal Affective Computing Market Restraints

3 Competition Landscape by Key Players

3.1 Global Top Multimodal Affective Computing Players by Revenue

3.1.1 Global Top Multimodal Affective Computing Players by Revenue (2020-2025)

3.1.2 Global Multimodal Affective Computing Revenue Market Share by Players (2020-2025)

3.2 Global Top Multimodal Affective Computing Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)

3.3 Global Key Players Ranking by Multimodal Affective Computing Revenue

3.4 Global Multimodal Affective Computing Market Concentration Ratio

3.4.1 Global Multimodal Affective Computing Market Concentration Ratio (CR5 and HHI)

3.4.2 Global Top 10 and Top 5 Companies by Multimodal Affective Computing Revenue in 2024

3.5 Global Key Players of Multimodal Affective Computing Head office and Area Served

3.6 Global Key Players of Multimodal Affective Computing, Product and Application

3.7 Global Key Players of Multimodal Affective Computing, Date of Enter into This Industry

3.8 Mergers & Acquisitions, Expansion Plans

4 Multimodal Affective Computing Breakdown Data by Type

4.1 Global Multimodal Affective Computing Historic Market Size by Type (2020-2025)

4.2 Global Multimodal Affective Computing Forecasted Market Size by Type (2026-2031)

5 Multimodal Affective Computing Breakdown Data by Application

5.1 Global Multimodal Affective Computing Historic Market Size by Application (2020-2025)

5.2 Global Multimodal Affective Computing Forecasted Market Size by Application (2026-2031)

6 North America

6.1 North America Multimodal Affective Computing Market Size (2020-2031)

6.2 North America Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031

6.3 North America Multimodal Affective Computing Market Size by Country (2020-2025)

6.4 North America Multimodal Affective Computing Market Size by Country (2026-2031)

6.5 United States

6.6 Canada

7 Europe

7.1 Europe Multimodal Affective Computing Market Size (2020-2031)

7.2 Europe Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031

7.3 Europe Multimodal Affective Computing Market Size by Country (2020-2025)

7.4 Europe Multimodal Affective Computing Market Size by Country (2026-2031)

7.5 Germany

7.6 France

7.7 U.K.

7.8 Italy

7.9 Russia

7.10 Nordic Countries

8 Asia-Pacific

8.1 Asia-Pacific Multimodal Affective Computing Market Size (2020-2031)

8.2 Asia-Pacific Multimodal Affective Computing Market Growth Rate by Region: 2020 VS 2024 VS 2031

8.3 Asia-Pacific Multimodal Affective Computing Market Size by Region (2020-2025)

8.4 Asia-Pacific Multimodal Affective Computing Market Size by Region (2026-2031)

8.5 China

8.6 Japan

8.7 South Korea

8.8 Southeast Asia

8.9 India

8.10 Australia

9 Latin America

9.1 Latin America Multimodal Affective Computing Market Size (2020-2031)

9.2 Latin America Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031

9.3 Latin America Multimodal Affective Computing Market Size by Country (2020-2025)

9.4 Latin America Multimodal Affective Computing Market Size by Country (2026-2031)

9.5 Mexico

9.6 Brazil

10 Middle East & Africa

10.1 Middle East & Africa Multimodal Affective Computing Market Size (2020-2031)

10.2 Middle East & Africa Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031

10.3 Middle East & Africa Multimodal Affective Computing Market Size by Country (2020-2025)

10.4 Middle East & Africa Multimodal Affective Computing Market Size by Country (2026-2031)

10.5 Turkey

10.6 Saudi Arabia

10.7 UAE

11 Key Players Profiles

11.1 Microsoft (Azure Cognitive Services - Emotion API)

11.1.1 Microsoft (Azure Cognitive Services - Emotion API) Company Details

11.1.2 Microsoft (Azure Cognitive Services - Emotion API) Business Overview

11.1.3 Microsoft (Azure Cognitive Services - Emotion API) Multimodal Affective Computing Introduction

11.1.4 Microsoft (Azure Cognitive Services - Emotion API) Revenue in Multimodal Affective Computing Business (2020-2025)

11.1.5 Microsoft (Azure Cognitive Services - Emotion API) Recent Development

11.2 IBM (Watson Tone Analyzer)

11.2.1 IBM (Watson Tone Analyzer) Company Details

11.2.2 IBM (Watson Tone Analyzer) Business Overview

11.2.3 IBM (Watson Tone Analyzer) Multimodal Affective Computing Introduction

11.2.4 IBM (Watson Tone Analyzer) Revenue in Multimodal Affective Computing Business (2020-2025)

11.2.5 IBM (Watson Tone Analyzer) Recent Development

11.3 Google (DialogFlow - Emotion Detection)

11.3.1 Google (DialogFlow - Emotion Detection) Company Details

11.3.2 Google (DialogFlow - Emotion Detection) Business Overview

11.3.3 Google (DialogFlow - Emotion Detection) Multimodal Affective Computing Introduction

11.3.4 Google (DialogFlow - Emotion Detection) Revenue in Multimodal Affective Computing Business (2020-2025)

11.3.5 Google (DialogFlow - Emotion Detection) Recent Development

11.4 Sensum

11.4.1 Sensum Company Details

11.4.2 Sensum Business Overview

11.4.3 Sensum Multimodal Affective Computing Introduction

11.4.4 Sensum Revenue in Multimodal Affective Computing Business (2020-2025)

11.4.5 Sensum Recent Development

11.5 Hewlett Packard Enterprise (HPE)

11.5.1 Hewlett Packard Enterprise (HPE) Company Details

11.5.2 Hewlett Packard Enterprise (HPE) Business Overview

11.5.3 Hewlett Packard Enterprise (HPE) Multimodal Affective Computing Introduction

11.5.4 Hewlett Packard Enterprise (HPE) Revenue in Multimodal Affective Computing Business (2020-2025)

11.5.5 Hewlett Packard Enterprise (HPE) Recent Development

11.6 Moodstocks (Acquired by Google)

11.6.1 Moodstocks (Acquired by Google) Company Details

11.6.2 Moodstocks (Acquired by Google) Business Overview

11.6.3 Moodstocks (Acquired by Google) Multimodal Affective Computing Introduction

11.6.4 Moodstocks (Acquired by Google) Revenue in Multimodal Affective Computing Business (2020-2025)

11.6.5 Moodstocks (Acquired by Google) Recent Development

11.7 Clarifai

11.7.1 Clarifai Company Details

11.7.2 Clarifai Business Overview

11.7.3 Clarifai Multimodal Affective Computing Introduction

11.7.4 Clarifai Revenue in Multimodal Affective Computing Business (2020-2025)

11.7.5 Clarifai Recent Development

11.8 EmoTech

11.8.1 EmoTech Company Details

11.8.2 EmoTech Business Overview

11.8.3 EmoTech Multimodal Affective Computing Introduction

11.8.4 EmoTech Revenue in Multimodal Affective Computing Business (2020-2025)

11.8.5 EmoTech Recent Development

11.9 XOXCO (Fritz AI)

11.9.1 XOXCO (Fritz AI) Company Details

11.9.2 XOXCO (Fritz AI) Business Overview

11.9.3 XOXCO (Fritz AI) Multimodal Affective Computing Introduction

11.9.4 XOXCO (Fritz AI) Revenue in Multimodal Affective Computing Business (2020-2025)

11.9.5 XOXCO (Fritz AI) Recent Development

11.10 Cogito (formerly Cogito Corp)

11.10.1 Cogito (formerly Cogito Corp) Company Details

11.10.2 Cogito (formerly Cogito Corp) Business Overview

11.10.3 Cogito (formerly Cogito Corp) Multimodal Affective Computing Introduction

11.10.4 Cogito (formerly Cogito Corp) Revenue in Multimodal Affective Computing Business (2020-2025)

11.10.5 Cogito (formerly Cogito Corp) Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix

13.1 Research Methodology

13.1.1 Methodology/Research Approach

13.1.1.1 Research Programs/Design

13.1.1.2 Market Size Estimation

13.1.1.3 Market Breakdown and Data Triangulation

13.1.2 Data Source

13.1.2.1 Secondary Sources

13.1.2.2 Primary Sources

13.2 Author Details

13.3 Disclaimer

FEATURED COMPANIES

Sensum

Hewlett Packard Enterprise (HPE)

Clarifai

Emotech

Cogito (formerly Cogito Corp)

Microsoft (Azure Cognitive Services - Emotion API)

IBM (Watson Tone Analyzer)

Google (DialogFlow - Emotion Detection)

Moodstocks (Acquired by Google)

XOXCO (Fritz AI)

List of Tables

Table 1. Global Multimodal Affective Computing Market Size Growth Rate by Type (US$ Million): 2020 VS 2024 VS 2031

Table 2. Key Players of Contact

Table 3. Key Players of Contactless

Table 4. Global Multimodal Affective Computing Market Size Growth by Application (US$ Million): 2020 VS 2024 VS 2031

Table 5. Global Multimodal Affective Computing Market Size by Region (US$ Million): 2020 VS 2024 VS 2031

Table 6. Global Multimodal Affective Computing Market Size by Region (2020-2025) & (US$ Million)

Table 7. Global Multimodal Affective Computing Market Share by Region (2020-2025)

Table 8. Global Multimodal Affective Computing Forecasted Market Size by Region (2026-2031) & (US$ Million)

Table 9. Global Multimodal Affective Computing Market Share by Region (2026-2031)

Table 10. Multimodal Affective Computing Market Trends

Table 11. Multimodal Affective Computing Market Drivers

Table 12. Multimodal Affective Computing Market Challenges

Table 13. Multimodal Affective Computing Market Restraints

Table 14. Global Multimodal Affective Computing Revenue by Players (2020-2025) & (US$ Million)

Table 15. Global Multimodal Affective Computing Market Share by Players (2020-2025)

Table 16. Global Top Multimodal Affective Computing Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Multimodal Affective Computing as of 2024)

Table 17. Ranking of Global Top Multimodal Affective Computing Companies by Revenue (US$ Million) in 2024

Table 18. Global 5 Largest Players Market Share by Multimodal Affective Computing Revenue (CR5 and HHI) & (2020-2025)

Table 19. Global Key Players of Multimodal Affective Computing, Headquarters and Area Served

Table 20. Global Key Players of Multimodal Affective Computing, Product and Application

Table 21. Global Key Players of Multimodal Affective Computing, Date of Enter into This Industry

Table 22. Mergers & Acquisitions, Expansion Plans

Table 23. Global Multimodal Affective Computing Market Size by Type (2020-2025) & (US$ Million)

Table 24. Global Multimodal Affective Computing Revenue Market Share by Type (2020-2025)

Table 25. Global Multimodal Affective Computing Forecasted Market Size by Type (2026-2031) & (US$ Million)

Table 26. Global Multimodal Affective Computing Revenue Market Share by Type (2026-2031)

Table 27. Global Multimodal Affective Computing Market Size by Application (2020-2025) & (US$ Million)

Table 28. Global Multimodal Affective Computing Revenue Market Share by Application (2020-2025)

Table 29. Global Multimodal Affective Computing Forecasted Market Size by Application (2026-2031) & (US$ Million)

Table 30. Global Multimodal Affective Computing Revenue Market Share by Application (2026-2031)

Table 31. North America Multimodal Affective Computing Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 32. North America Multimodal Affective Computing Market Size by Country (2020-2025) & (US$ Million)

Table 33. North America Multimodal Affective Computing Market Size by Country (2026-2031) & (US$ Million)

Table 34. Europe Multimodal Affective Computing Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 35. Europe Multimodal Affective Computing Market Size by Country (2020-2025) & (US$ Million)

Table 36. Europe Multimodal Affective Computing Market Size by Country (2026-2031) & (US$ Million)

Table 37. Asia-Pacific Multimodal Affective Computing Market Size Growth Rate by Region (US$ Million): 2020 VS 2024 VS 2031

Table 38. Asia-Pacific Multimodal Affective Computing Market Size by Region (2020-2025) & (US$ Million)

Table 39. Asia-Pacific Multimodal Affective Computing Market Size by Region (2026-2031) & (US$ Million)

Table 40. Latin America Multimodal Affective Computing Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 41. Latin America Multimodal Affective Computing Market Size by Country (2020-2025) & (US$ Million)

Table 42. Latin America Multimodal Affective Computing Market Size by Country (2026-2031) & (US$ Million)

Table 43. Middle East & Africa Multimodal Affective Computing Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 44. Middle East & Africa Multimodal Affective Computing Market Size by Country (2020-2025) & (US$ Million)

Table 45. Middle East & Africa Multimodal Affective Computing Market Size by Country (2026-2031) & (US$ Million)

Table 46. Microsoft (Azure Cognitive Services - Emotion API) Company Details

Table 47. Microsoft (Azure Cognitive Services - Emotion API) Business Overview

Table 48. Microsoft (Azure Cognitive Services - Emotion API) Multimodal Affective Computing Product

Table 49. Microsoft (Azure Cognitive Services - Emotion API) Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 50. Microsoft (Azure Cognitive Services - Emotion API) Recent Development

Table 51. IBM (Watson Tone Analyzer) Company Details

Table 52. IBM (Watson Tone Analyzer) Business Overview

Table 53. IBM (Watson Tone Analyzer) Multimodal Affective Computing Product

Table 54. IBM (Watson Tone Analyzer) Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 55. IBM (Watson Tone Analyzer) Recent Development

Table 56. Google (DialogFlow - Emotion Detection) Company Details

Table 57. Google (DialogFlow - Emotion Detection) Business Overview

Table 58. Google (DialogFlow - Emotion Detection) Multimodal Affective Computing Product

Table 59. Google (DialogFlow - Emotion Detection) Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 60. Google (DialogFlow - Emotion Detection) Recent Development

Table 61. Sensum Company Details

Table 62. Sensum Business Overview

Table 63. Sensum Multimodal Affective Computing Product

Table 64. Sensum Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 65. Sensum Recent Development

Table 66. Hewlett Packard Enterprise (HPE) Company Details

Table 67. Hewlett Packard Enterprise (HPE) Business Overview

Table 68. Hewlett Packard Enterprise (HPE) Multimodal Affective Computing Product

Table 69. Hewlett Packard Enterprise (HPE) Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 70. Hewlett Packard Enterprise (HPE) Recent Development

Table 71. Moodstocks (Acquired by Google) Company Details

Table 72. Moodstocks (Acquired by Google) Business Overview

Table 73. Moodstocks (Acquired by Google) Multimodal Affective Computing Product

Table 74. Moodstocks (Acquired by Google) Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 75. Moodstocks (Acquired by Google) Recent Development

Table 76. Clarifai Company Details

Table 77. Clarifai Business Overview

Table 78. Clarifai Multimodal Affective Computing Product

Table 79. Clarifai Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 80. Clarifai Recent Development

Table 81. EmoTech Company Details

Table 82. EmoTech Business Overview

Table 83. EmoTech Multimodal Affective Computing Product

Table 84. EmoTech Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 85. EmoTech Recent Development

Table 86. XOXCO (Fritz AI) Company Details

Table 87. XOXCO (Fritz AI) Business Overview

Table 88. XOXCO (Fritz AI) Multimodal Affective Computing Product

Table 89. XOXCO (Fritz AI) Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 90. XOXCO (Fritz AI) Recent Development

Table 91. Cogito (formerly Cogito Corp) Company Details

Table 92. Cogito (formerly Cogito Corp) Business Overview

Table 93. Cogito (formerly Cogito Corp) Multimodal Affective Computing Product

Table 94. Cogito (formerly Cogito Corp) Revenue in Multimodal Affective Computing Business (2020-2025) & (US$ Million)

Table 95. Cogito (formerly Cogito Corp) Recent Development

Table 96. Research Programs/Design for This Report

Table 97. Key Data Information from Secondary Sources

Table 98. Key Data Information from Primary Sources

Table 99. Authors List of This Report

List of Figures

Figure 1. Multimodal Affective Computing Picture

Figure 2. Global Multimodal Affective Computing Market Size Comparison by Type (2020-2031) & (US$ Million)

Figure 3. Global Multimodal Affective Computing Market Share by Type: 2024 VS 2031

Figure 4. Contact Features

Figure 5. Contactless Features

Figure 6. Global Multimodal Affective Computing Market Size by Application (2020-2031) & (US$ Million)

Figure 7. Global Multimodal Affective Computing Market Share by Application: 2024 VS 2031

Figure 8. Customer Service Case Studies

Figure 9. Healthcare Case Studies

Figure 10. Education Case Studies

Figure 11. Security Case Studies

Figure 12. Entertainment Case Studies

Figure 13. Others Case Studies

Figure 14. Multimodal Affective Computing Report Years Considered

Figure 15. Global Multimodal Affective Computing Market Size (US$ Million), Year-over-Year: 2020-2031

Figure 16. Global Multimodal Affective Computing Market Size, (US$ Million), 2020 VS 2024 VS 2031

Figure 17. Global Multimodal Affective Computing Market Share by Region: 2024 VS 2031

Figure 18. Global Multimodal Affective Computing Market Share by Players in 2024

Figure 19. Global Multimodal Affective Computing Market Share by Company Type (Tier 1, Tier 2, and Tier 3)

Figure 20. The Top 10 and 5 Players Market Share by Multimodal Affective Computing Revenue in 2024

Figure 21. North America Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 22. North America Multimodal Affective Computing Market Share by Country (2020-2031)

Figure 23. United States Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 24. Canada Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 25. Europe Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 26. Europe Multimodal Affective Computing Market Share by Country (2020-2031)

Figure 27. Germany Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 28. France Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 29. U.K. Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 30. Italy Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 31. Russia Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 32. Nordic Countries Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 33. Asia-Pacific Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 34. Asia-Pacific Multimodal Affective Computing Market Share by Region (2020-2031)

Figure 35. China Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 36. Japan Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 37. South Korea Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 38. Southeast Asia Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 39. India Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 40. Australia Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 41. Latin America Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 42. Latin America Multimodal Affective Computing Market Share by Country (2020-2031)

Figure 43. Mexico Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 44. Brazil Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 45. Middle East & Africa Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 46. Middle East & Africa Multimodal Affective Computing Market Share by Country (2020-2031)

Figure 47. Turkey Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 48. Saudi Arabia Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 49. UAE Multimodal Affective Computing Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 50. Microsoft (Azure Cognitive Services - Emotion API) Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 51. IBM (Watson Tone Analyzer) Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 52. Google (DialogFlow - Emotion Detection) Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 53. Sensum Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 54. Hewlett Packard Enterprise (HPE) Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 55. Moodstocks (Acquired by Google) Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 56. Clarifai Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 57. EmoTech Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 58. XOXCO (Fritz AI) Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 59. Cogito (formerly Cogito Corp) Revenue Growth Rate in Multimodal Affective Computing Business (2020-2025)

Figure 60. Bottom-up and Top-down Approaches for This Report

Figure 61. Data Triangulation

Figure 62. Key Executives Interviewed

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Global Multimodal Affective Computing Market Research Report 2025

Published Date: March 2025

Report Code: QYRE-Auto-23Q12400

Global Multimodal Affective Computing Market Research Report 2025

FEATURED COMPANIES

Multimodal Affective Computing Market Size

Multimodal Affective Computing Market

Scope of Multimodal Affective Computing Market Report

Chapter Outline

FAQ for this report

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