The global Single-Modal Affective Computing and Multimodal Affective Computing market size was valued at US$ 42190 million in 2024 and is forecast to a readjusted size of USD 126040 million by 2031 with a CAGR of 19.5% during review period.
Single-modal affective computing refers to the use of a single input modality (e.g., facial expressions, speech, text, or physiological signals) to recognize, analyze, and interpret human emotional states. These inputs are typically processed using specialized algorithms and sensors to enable emotion recognition capabilities. Common techniques in single-modal affective computing include speech emotion analysis, facial expression recognition, and text-based sentiment analysis.
Multimodal affective computing, on the other hand, involves the simultaneous use of multiple input modalities (such as speech, facial expressions, gestures, text) to recognize and interpret emotional states. This approach improves the accuracy and comprehensiveness of emotion recognition. Multimodal systems typically combine voice, facial expressions, and other sensory data to better capture emotional responses.
The market for both single-modal and multimodal affective computing is expanding rapidly, driven by several factors:
Technological Advancements: Advances in AI and machine learning are enhancing the accuracy and efficiency of emotion recognition algorithms, particularly in facial recognition, speech recognition, and other modalities.
Rising Demand for Consumer Experience: As personalized services and smart interactions become more popular, the application of affective computing in customer service, retail, and e-commerce is increasing. Emotion recognition helps businesses optimize user experiences and improve customer satisfaction.
Growing Need for Health Monitoring: In the context of mental health and aging populations, affective computing plays a crucial role in monitoring and assessing emotional well-being, providing more accurate health interventions.
Risks Facing the Market
Privacy Concerns: Emotion data, especially from facial recognition and voice emotion analysis, may raise privacy concerns, potentially leading to stricter regulations.
Technical Limitations: Multimodal systems may face challenges such as data synchronization and algorithm fusion issues, affecting the overall accuracy of emotion recognition.
Cultural and Contextual Differences: Emotional expression varies significantly across cultures and languages, which limits the universality of affective computing models, requiring localization and adjustment.
Market Concentration
The affective computing market is still in a rapid growth phase, with relatively low market concentration. While large tech companies (e.g., Google, Microsoft) have made strides in this field, many startups and mid-sized companies are also innovating with different emotion recognition solutions. Over the next few years, as technologies mature and industry standards are set, market concentration is likely to rise, with leading players dominating the field.
Downstream Demand Trends
Intelligent Customer Service and Virtual Assistants: With the rising demand for personalized customer experiences, the need for emotion recognition in intelligent customer service and virtual assistants continues to grow, particularly in industries such as e-commerce, finance, and healthcare.
Applications in Education and Healthcare: The education sector is beginning to leverage affective computing to enhance student learning experiences, while the healthcare industry focuses on using these technologies for mental health management and early diagnosis of psychiatric conditions.
Entertainment and Interactive Experiences: The gaming, virtual reality, and augmented reality industries are exploring how affective computing can enhance user engagement and interactivity, creating more immersive experiences.
This report is a detailed and comprehensive analysis for global Single-Modal Affective Computing and Multimodal Affective Computing market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Single-Modal Affective Computing and Multimodal Affective Computing market size and forecasts, in consumption value ($ Million), 2020-2031
Global Single-Modal Affective Computing and Multimodal Affective Computing market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Single-Modal Affective Computing and Multimodal Affective Computing market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Single-Modal Affective Computing and Multimodal Affective Computing market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Single-Modal Affective Computing and Multimodal Affective Computing
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Single-Modal Affective Computing and Multimodal Affective Computing market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include 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), etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Single-Modal Affective Computing and Multimodal Affective Computing market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Single-Modal Affective Computing
Multimodal Affective Computing
Market segment by Application
Customer Service
Retail
Automotive
Healthcare
Education
Security
Entertainment
Others
Market segment by players, this report covers
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)
Affectiva (now part of Smart Eye)
Realeyes
Beyond Verbal
Emotient (Acquired by Apple)
Kairos
Nviso
Vocalis Health
iMotions
Affectum
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Single-Modal Affective Computing and Multimodal Affective Computing product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Single-Modal Affective Computing and Multimodal Affective Computing, with revenue, gross margin, and global market share of Single-Modal Affective Computing and Multimodal Affective Computing from 2020 to 2025.
Chapter 3, the Single-Modal Affective Computing and Multimodal Affective Computing competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Single-Modal Affective Computing and Multimodal Affective Computing market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Single-Modal Affective Computing and Multimodal Affective Computing.
Chapter 13, to describe Single-Modal Affective Computing and Multimodal Affective Computing research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Single-Modal Affective Computing and Multimodal Affective Computing by Type
1.3.1 Overview: Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value Market Share by Type in 2024
1.3.3 Single-Modal Affective Computing
1.3.4 Multimodal Affective Computing
1.4 Global Single-Modal Affective Computing and Multimodal Affective Computing Market by Application
1.4.1 Overview: Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Customer Service
1.4.3 Retail
1.4.4 Automotive
1.4.5 Healthcare
1.4.6 Education
1.4.7 Security
1.4.8 Entertainment
1.4.9 Others
1.5 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size & Forecast
1.6 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast by Region
1.6.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Region, (2020-2031)
1.6.3 North America Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Prospect (2020-2031)
1.6.4 Europe Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Prospect (2020-2031)
1.6.6 South America Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Prospect (2020-2031)
2 Company Profiles
2.1 Microsoft (Azure Cognitive Services - Emotion API)
2.1.1 Microsoft (Azure Cognitive Services - Emotion API) Details
2.1.2 Microsoft (Azure Cognitive Services - Emotion API) Major Business
2.1.3 Microsoft (Azure Cognitive Services - Emotion API) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.1.4 Microsoft (Azure Cognitive Services - Emotion API) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.1.5 Microsoft (Azure Cognitive Services - Emotion API) Recent Developments and Future Plans
2.2 IBM (Watson Tone Analyzer)
2.2.1 IBM (Watson Tone Analyzer) Details
2.2.2 IBM (Watson Tone Analyzer) Major Business
2.2.3 IBM (Watson Tone Analyzer) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.2.4 IBM (Watson Tone Analyzer) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.2.5 IBM (Watson Tone Analyzer) Recent Developments and Future Plans
2.3 Google (DialogFlow - Emotion Detection)
2.3.1 Google (DialogFlow - Emotion Detection) Details
2.3.2 Google (DialogFlow - Emotion Detection) Major Business
2.3.3 Google (DialogFlow - Emotion Detection) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.3.4 Google (DialogFlow - Emotion Detection) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.3.5 Google (DialogFlow - Emotion Detection) Recent Developments and Future Plans
2.4 Sensum
2.4.1 Sensum Details
2.4.2 Sensum Major Business
2.4.3 Sensum Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.4.4 Sensum Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.4.5 Sensum Recent Developments and Future Plans
2.5 Hewlett Packard Enterprise (HPE)
2.5.1 Hewlett Packard Enterprise (HPE) Details
2.5.2 Hewlett Packard Enterprise (HPE) Major Business
2.5.3 Hewlett Packard Enterprise (HPE) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.5.4 Hewlett Packard Enterprise (HPE) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.5.5 Hewlett Packard Enterprise (HPE) Recent Developments and Future Plans
2.6 Moodstocks (Acquired by Google)
2.6.1 Moodstocks (Acquired by Google) Details
2.6.2 Moodstocks (Acquired by Google) Major Business
2.6.3 Moodstocks (Acquired by Google) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.6.4 Moodstocks (Acquired by Google) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.6.5 Moodstocks (Acquired by Google) Recent Developments and Future Plans
2.7 Clarifai
2.7.1 Clarifai Details
2.7.2 Clarifai Major Business
2.7.3 Clarifai Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.7.4 Clarifai Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.7.5 Clarifai Recent Developments and Future Plans
2.8 EmoTech
2.8.1 EmoTech Details
2.8.2 EmoTech Major Business
2.8.3 EmoTech Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.8.4 EmoTech Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.8.5 EmoTech Recent Developments and Future Plans
2.9 XOXCO (Fritz AI)
2.9.1 XOXCO (Fritz AI) Details
2.9.2 XOXCO (Fritz AI) Major Business
2.9.3 XOXCO (Fritz AI) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.9.4 XOXCO (Fritz AI) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.9.5 XOXCO (Fritz AI) Recent Developments and Future Plans
2.10 Cogito (formerly Cogito Corp)
2.10.1 Cogito (formerly Cogito Corp) Details
2.10.2 Cogito (formerly Cogito Corp) Major Business
2.10.3 Cogito (formerly Cogito Corp) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.10.4 Cogito (formerly Cogito Corp) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.10.5 Cogito (formerly Cogito Corp) Recent Developments and Future Plans
2.11 Affectiva (now part of Smart Eye)
2.11.1 Affectiva (now part of Smart Eye) Details
2.11.2 Affectiva (now part of Smart Eye) Major Business
2.11.3 Affectiva (now part of Smart Eye) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.11.4 Affectiva (now part of Smart Eye) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.11.5 Affectiva (now part of Smart Eye) Recent Developments and Future Plans
2.12 Realeyes
2.12.1 Realeyes Details
2.12.2 Realeyes Major Business
2.12.3 Realeyes Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.12.4 Realeyes Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.12.5 Realeyes Recent Developments and Future Plans
2.13 Beyond Verbal
2.13.1 Beyond Verbal Details
2.13.2 Beyond Verbal Major Business
2.13.3 Beyond Verbal Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.13.4 Beyond Verbal Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.13.5 Beyond Verbal Recent Developments and Future Plans
2.14 Emotient (Acquired by Apple)
2.14.1 Emotient (Acquired by Apple) Details
2.14.2 Emotient (Acquired by Apple) Major Business
2.14.3 Emotient (Acquired by Apple) Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.14.4 Emotient (Acquired by Apple) Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.14.5 Emotient (Acquired by Apple) Recent Developments and Future Plans
2.15 Kairos
2.15.1 Kairos Details
2.15.2 Kairos Major Business
2.15.3 Kairos Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.15.4 Kairos Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.15.5 Kairos Recent Developments and Future Plans
2.16 Nviso
2.16.1 Nviso Details
2.16.2 Nviso Major Business
2.16.3 Nviso Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.16.4 Nviso Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.16.5 Nviso Recent Developments and Future Plans
2.17 Vocalis Health
2.17.1 Vocalis Health Details
2.17.2 Vocalis Health Major Business
2.17.3 Vocalis Health Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.17.4 Vocalis Health Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.17.5 Vocalis Health Recent Developments and Future Plans
2.18 iMotions
2.18.1 iMotions Details
2.18.2 iMotions Major Business
2.18.3 iMotions Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.18.4 iMotions Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.18.5 iMotions Recent Developments and Future Plans
2.19 Affectum
2.19.1 Affectum Details
2.19.2 Affectum Major Business
2.19.3 Affectum Single-Modal Affective Computing and Multimodal Affective Computing Product and Solutions
2.19.4 Affectum Single-Modal Affective Computing and Multimodal Affective Computing Revenue, Gross Margin and Market Share (2020-2025)
2.19.5 Affectum Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Revenue and Share by Players (2020-2025)
3.2 Market Share Analysis (2024)
3.2.1 Market Share of Single-Modal Affective Computing and Multimodal Affective Computing by Company Revenue
3.2.2 Top 3 Single-Modal Affective Computing and Multimodal Affective Computing Players Market Share in 2024
3.2.3 Top 6 Single-Modal Affective Computing and Multimodal Affective Computing Players Market Share in 2024
3.3 Single-Modal Affective Computing and Multimodal Affective Computing Market: Overall Company Footprint Analysis
3.3.1 Single-Modal Affective Computing and Multimodal Affective Computing Market: Region Footprint
3.3.2 Single-Modal Affective Computing and Multimodal Affective Computing Market: Company Product Type Footprint
3.3.3 Single-Modal Affective Computing and Multimodal Affective Computing Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value and Market Share by Type (2020-2025)
4.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Forecast by Type (2026-2031)
5 Market Size Segment by Application
5.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value Market Share by Application (2020-2025)
5.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Forecast by Application (2026-2031)
6 North America
6.1 North America Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Type (2020-2031)
6.2 North America Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Application (2020-2031)
6.3 North America Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country
6.3.1 North America Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Country (2020-2031)
6.3.2 United States Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
6.3.3 Canada Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
6.3.4 Mexico Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
7 Europe
7.1 Europe Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Type (2020-2031)
7.2 Europe Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Application (2020-2031)
7.3 Europe Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country
7.3.1 Europe Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Country (2020-2031)
7.3.2 Germany Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
7.3.3 France Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
7.3.4 United Kingdom Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
7.3.5 Russia Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
7.3.6 Italy Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Region
8.3.1 Asia-Pacific Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Region (2020-2031)
8.3.2 China Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
8.3.3 Japan Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
8.3.4 South Korea Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
8.3.5 India Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
8.3.6 Southeast Asia Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
8.3.7 Australia Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
9 South America
9.1 South America Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Type (2020-2031)
9.2 South America Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Application (2020-2031)
9.3 South America Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country
9.3.1 South America Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Country (2020-2031)
9.3.2 Brazil Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
9.3.3 Argentina Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country
10.3.1 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Consumption Value by Country (2020-2031)
10.3.2 Turkey Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
10.3.4 UAE Single-Modal Affective Computing and Multimodal Affective Computing Market Size and Forecast (2020-2031)
11 Market Dynamics
11.1 Single-Modal Affective Computing and Multimodal Affective Computing Market Drivers
11.2 Single-Modal Affective Computing and Multimodal Affective Computing Market Restraints
11.3 Single-Modal Affective Computing and Multimodal Affective Computing Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Single-Modal Affective Computing and Multimodal Affective Computing Industry Chain
12.2 Single-Modal Affective Computing and Multimodal Affective Computing Upstream Analysis
12.3 Single-Modal Affective Computing and Multimodal Affective Computing Midstream Analysis
12.4 Single-Modal Affective Computing and Multimodal Affective Computing Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
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)
Affectiva (now part of Smart Eye)
Realeyes
Beyond Verbal
Emotient (Acquired by Apple)
Kairos
Nviso
Vocalis Health
iMotions
Affectum
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*If Applicable.