The global market for Single-Modal Affective Computing and Multimodal Affective Computing was valued at US$ 41000 million in the year 2024 and is projected to reach a revised size of US$ 125410 million by 2031, growing at a CAGR of 20.0% during the forecast 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 aims to provide a comprehensive presentation of the global market for Single-Modal Affective Computing and 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 Single-Modal Affective Computing and Multimodal Affective Computing.
The Single-Modal Affective Computing and 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 Single-Modal Affective Computing and 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 Single-Modal Affective Computing and 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
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)
Affectiva (now part of Smart Eye)
Realeyes
Beyond Verbal
Emotient (Acquired by Apple)
Kairos
Nviso
Vocalis Health
iMotions
Affectum
Segment by Type
Single-Modal Affective Computing
Multimodal Affective Computing
Segment by Application
Customer Service
Retail
Automotive
Healthcare
Education
Security
Entertainment
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 Single-Modal Affective Computing and 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.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Single-Modal Affective Computing
1.2.3 Multimodal Affective Computing
1.3 Market by Application
1.3.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Customer Service
1.3.3 Retail
1.3.4 Automotive
1.3.5 Healthcare
1.3.6 Education
1.3.7 Security
1.3.8 Entertainment
1.3.9 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Perspective (2020-2031)
2.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Growth Trends by Region
2.2.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Single-Modal Affective Computing and Multimodal Affective Computing Historic Market Size by Region (2020-2025)
2.2.3 Single-Modal Affective Computing and Multimodal Affective Computing Forecasted Market Size by Region (2026-2031)
2.3 Single-Modal Affective Computing and Multimodal Affective Computing Market Dynamics
2.3.1 Single-Modal Affective Computing and Multimodal Affective Computing Industry Trends
2.3.2 Single-Modal Affective Computing and Multimodal Affective Computing Market Drivers
2.3.3 Single-Modal Affective Computing and Multimodal Affective Computing Market Challenges
2.3.4 Single-Modal Affective Computing and Multimodal Affective Computing Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Single-Modal Affective Computing and Multimodal Affective Computing Players by Revenue
3.1.1 Global Top Single-Modal Affective Computing and Multimodal Affective Computing Players by Revenue (2020-2025)
3.1.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Revenue Market Share by Players (2020-2025)
3.2 Global Top Single-Modal Affective Computing and 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 Single-Modal Affective Computing and Multimodal Affective Computing Revenue
3.4 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Concentration Ratio
3.4.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Single-Modal Affective Computing and Multimodal Affective Computing Revenue in 2024
3.5 Global Key Players of Single-Modal Affective Computing and Multimodal Affective Computing Head office and Area Served
3.6 Global Key Players of Single-Modal Affective Computing and Multimodal Affective Computing, Product and Application
3.7 Global Key Players of Single-Modal Affective Computing and Multimodal Affective Computing, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Single-Modal Affective Computing and Multimodal Affective Computing Breakdown Data by Type
4.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Historic Market Size by Type (2020-2025)
4.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Forecasted Market Size by Type (2026-2031)
5 Single-Modal Affective Computing and Multimodal Affective Computing Breakdown Data by Application
5.1 Global Single-Modal Affective Computing and Multimodal Affective Computing Historic Market Size by Application (2020-2025)
5.2 Global Single-Modal Affective Computing and Multimodal Affective Computing Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Single-Modal Affective Computing and Multimodal Affective Computing Market Size (2020-2031)
6.2 North America Single-Modal Affective Computing and Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country (2020-2025)
6.4 North America Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Single-Modal Affective Computing and Multimodal Affective Computing Market Size (2020-2031)
7.2 Europe Single-Modal Affective Computing and Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country (2020-2025)
7.4 Europe Single-Modal Affective Computing and 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 Single-Modal Affective Computing and Multimodal Affective Computing Market Size (2020-2031)
8.2 Asia-Pacific Single-Modal Affective Computing and Multimodal Affective Computing Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Region (2020-2025)
8.4 Asia-Pacific Single-Modal Affective Computing and 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 Single-Modal Affective Computing and Multimodal Affective Computing Market Size (2020-2031)
9.2 Latin America Single-Modal Affective Computing and Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country (2020-2025)
9.4 Latin America Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Market Size (2020-2031)
10.2 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Single-Modal Affective Computing and Multimodal Affective Computing Market Size by Country (2020-2025)
10.4 Middle East & Africa Single-Modal Affective Computing and 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) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.1.4 Microsoft (Azure Cognitive Services - Emotion API) Revenue in Single-Modal Affective Computing and 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) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.2.4 IBM (Watson Tone Analyzer) Revenue in Single-Modal Affective Computing and 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) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.3.4 Google (DialogFlow - Emotion Detection) Revenue in Single-Modal Affective Computing and 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 Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.4.4 Sensum Revenue in Single-Modal Affective Computing and 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) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.5.4 Hewlett Packard Enterprise (HPE) Revenue in Single-Modal Affective Computing and 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) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.6.4 Moodstocks (Acquired by Google) Revenue in Single-Modal Affective Computing and 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 Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.7.4 Clarifai Revenue in Single-Modal Affective Computing and 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 Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.8.4 EmoTech Revenue in Single-Modal Affective Computing and 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) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.9.4 XOXCO (Fritz AI) Revenue in Single-Modal Affective Computing and 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) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.10.4 Cogito (formerly Cogito Corp) Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.10.5 Cogito (formerly Cogito Corp) Recent Development
11.11 Affectiva (now part of Smart Eye)
11.11.1 Affectiva (now part of Smart Eye) Company Details
11.11.2 Affectiva (now part of Smart Eye) Business Overview
11.11.3 Affectiva (now part of Smart Eye) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.11.4 Affectiva (now part of Smart Eye) Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.11.5 Affectiva (now part of Smart Eye) Recent Development
11.12 Realeyes
11.12.1 Realeyes Company Details
11.12.2 Realeyes Business Overview
11.12.3 Realeyes Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.12.4 Realeyes Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.12.5 Realeyes Recent Development
11.13 Beyond Verbal
11.13.1 Beyond Verbal Company Details
11.13.2 Beyond Verbal Business Overview
11.13.3 Beyond Verbal Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.13.4 Beyond Verbal Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.13.5 Beyond Verbal Recent Development
11.14 Emotient (Acquired by Apple)
11.14.1 Emotient (Acquired by Apple) Company Details
11.14.2 Emotient (Acquired by Apple) Business Overview
11.14.3 Emotient (Acquired by Apple) Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.14.4 Emotient (Acquired by Apple) Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.14.5 Emotient (Acquired by Apple) Recent Development
11.15 Kairos
11.15.1 Kairos Company Details
11.15.2 Kairos Business Overview
11.15.3 Kairos Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.15.4 Kairos Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.15.5 Kairos Recent Development
11.16 Nviso
11.16.1 Nviso Company Details
11.16.2 Nviso Business Overview
11.16.3 Nviso Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.16.4 Nviso Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.16.5 Nviso Recent Development
11.17 Vocalis Health
11.17.1 Vocalis Health Company Details
11.17.2 Vocalis Health Business Overview
11.17.3 Vocalis Health Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.17.4 Vocalis Health Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.17.5 Vocalis Health Recent Development
11.18 iMotions
11.18.1 iMotions Company Details
11.18.2 iMotions Business Overview
11.18.3 iMotions Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.18.4 iMotions Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.18.5 iMotions Recent Development
11.19 Affectum
11.19.1 Affectum Company Details
11.19.2 Affectum Business Overview
11.19.3 Affectum Single-Modal Affective Computing and Multimodal Affective Computing Introduction
11.19.4 Affectum Revenue in Single-Modal Affective Computing and Multimodal Affective Computing Business (2020-2025)
11.19.5 Affectum 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
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
听
听
*If Applicable.
