According to our (Global Info Research) latest study, the global Single-Modal Affective Computing market size was valued at US$ 19550 million in 2024 and is forecast to a readjusted size of USD 54370 million by 2031 with a CAGR of 17.6% during review period.
Single-modal affective computing refers to the use of a single input modality (such as facial expressions, speech, text, or physiological signals) to recognize, analyze, and interpret human emotional states. This technology processes one sensory signal, utilizing artificial intelligence and machine learning algorithms to infer an individual's emotional response. Common applications include speech emotion analysis, facial expression recognition, and text-based sentiment analysis.
The product scope of single-modal affective computing primarily includes emotion recognition software, sentiment analysis tools, and related hardware devices. For instance, voice assistants (e.g., Siri, Alexa) analyze the tone, speed, and emotional cues in users' speech to tailor responses. Facial expression recognition systems use cameras to capture facial changes and infer emotional reactions, widely used in market research, user experience optimization, and entertainment. Text-based sentiment analysis tools are also extensively used for emotion detection in social media, online reviews, and customer feedback.
The market for single-modal affective computing is rapidly growing, driven by several factors:
Advancements in AI: The continuous improvements in deep learning and machine learning significantly enhance the accuracy and real-time performance of emotion recognition, fueling commercialization.
Increased Demand for Personalized Services: As consumers demand more personalized experiences, companies are leveraging emotion computing to enhance customer interaction and satisfaction. For example, emotion-driven voice interactions can provide more human-like services.
Increased Focus on Mental Health: In the mental health sector, affective computing is used to monitor emotional fluctuations and provide timely interventions, particularly in aging societies.
Risks Facing the Market
Privacy Concerns: Emotional data involves personal information, and facial expression and speech emotion recognition technologies raise significant privacy concerns. Over-collection and misuse of emotional data could lead to user dissatisfaction and legal risks.
Technical Bottlenecks: Despite progress, challenges remain in single-modal emotion computing, such as the diversity of emotional expressions and cultural differences in emotional interpretation, which may impact its accuracy and applicability.
Market Concentration
Currently, the market for single-modal affective computing is relatively fragmented. While large companies like Google, Microsoft, and Amazon have made strides in this field, many startups are offering diverse emotion computing solutions. As technology matures and industry standards are established, market concentration is expected to rise, with large companies likely to dominate the space.
Downstream Demand Trends
Intelligent Customer Service: More companies are adopting emotion computing to enhance customer service experiences, particularly in e-commerce and finance, where systems can detect customers' emotional changes and adjust responses accordingly.
Education and Entertainment: Affective computing is also gaining popularity in education and entertainment, optimizing learning environments and interactive gaming experiences. By analyzing users' emotional responses, more personalized content and interactions can be delivered.
This report is a detailed and comprehensive analysis for global Single-Modal 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 market size and forecasts, in consumption value ($ Million), 2020-2031
Global Single-Modal Affective Computing market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Single-Modal Affective Computing market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Single-Modal 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
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 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 Cogito (formerly Cogito Corp), Affectiva (now part of Smart Eye), Realeyes, Beyond Verbal, Emotient (Acquired by Apple), Kairos, Nviso, Vocalis Health, iMotions, Affectum, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Single-Modal 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
Contact
Contactless
Market segment by Application
Customer Service
Retail
Automotive
Others
Market segment by players, this report covers
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 product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Single-Modal Affective Computing, with revenue, gross margin, and global market share of Single-Modal Affective Computing from 2020 to 2025.
Chapter 3, the Single-Modal 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 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.
Chapter 13, to describe Single-Modal Affective Computing research findings and conclusion.
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
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