The single-modal affective computing market size has grown rapidly in recent years. It will grow from $6.06 billion in 2025 to $7.03 billion in 2026 at a compound annual growth rate (CAGR) of 16%. The growth in the historic period can be attributed to growth in human computer interaction research, rise in AI based analytics, expansion of digital customer experience tools, increased voice assistant usage, demand for sentiment analysis.
The single-modal affective computing market size is expected to see rapid growth in the next few years. It will grow to $12.82 billion in 2030 at a compound annual growth rate (CAGR) of 16.2%. The growth in the forecast period can be attributed to adoption in mental health screening, expansion in smart devices, rising use in customer service automation, growth in emotion aware interfaces, integration into interactive media systems. Major trends in the forecast period include voice based emotion recognition engines, facial expression analysis software, text sentiment detection platforms, real time emotion monitoring tools, edge based affective AI processing.
The expanding interest in mental health monitoring solutions is expected to stimulate the growth of the single-modal affective computing market in the future. Mental health monitoring solutions include technologies and systems that track psychological well-being by collecting and analyzing data to identify early indicators of mental health conditions. The growth of mental health monitoring solutions is supported by individuals seeking improved awareness and management of their mental well-being. Single-modal affective computing strengthens mental health monitoring solutions by enabling the identification of emotional states using a single data source to support mental health assessment and observation. For example, in January 2024, according to a survey published in the Journal of Medical Internet Research, a Canada-based peer-reviewed open-access journal, patients with mental health conditions reported using or being willing to use digital self-monitoring tools in 2024 compared with around 66% in 2023, demonstrating rising interest and acceptance as technology adoption increased. Therefore, the expanding interest in mental health monitoring solutions is advancing the growth of the single-modal affective computing market.
Leading companies operating in the single-modal affective computing market are concentrating on innovations in wearable and edge-based devices for real-time emotion monitoring, such as prosody-driven emotion recognition, to achieve competitive differentiation through low-latency inference, privacy-focused deployment, and more natural human-AI interactions. Prosody-driven emotion recognition refers to the process of identifying and interpreting emotional states using vocal characteristics rather than spoken content. For instance, in April 2023, Hume AI, a US-based company, introduced Hume’s Empathic Voice Interface (EVI) API. Hume’s Empathic Voice Interface (EVI) API provides a real-time, voice-only affective computing platform that enables emotionally intelligent interactions by analyzing users’ vocal prosody, including tone, rhythm, and timbre. It utilizes an empathic large language model to detect emotional signals and respond with contextually appropriate timing, language, and vocal expression. The API supports low-latency bidirectional audio streaming, enabling natural turn-taking and seamless interruption handling. By dynamically adjusting its own speech characteristics, EVI delivers responses that sound attentive, empathetic, and human-like.
In August 2025, Meta Platforms Inc., a US-based technology firm focused on social media, artificial intelligence, and immersive digital technologies, acquired WaveForms, Inc. for an undisclosed amount. This acquisition incorporates emotion-aware speech recognition and synthesis technologies into Meta’s platforms, particularly within its Superintelligence Labs, enabling more natural and emotionally responsive human-AI communication. WaveForms Inc. is a US-based artificial intelligence audio startup specializing in emotion-sensitive speech technologies that generate expressive, human-like voices.
Major companies operating in the single-modal affective computing market are Cogito Health Analytics Ltd., Empatica Inc., Noldus Information Technology B.V., Hume AI Inc., Beyond Verbal Ltd., iMotions A/S, VoiceSense Ltd., Realeyes Limited, Sentiance NV, Paravision Inc., Aural Analytics Inc., NVISO AG, Eyeris Technologies Inc., Ellipsis Health Inc., Behavioural Signals Ltd., Sonde Health Inc., BioBeats Ltd., Emteq Labs Ltd., Emoshape Ltd., Wluper Ltd., Vocalis Health Ltd., CrowdEmotion Ltd., and AffectLab Ltd.
Tariffs are affecting the single modal affective computing market by increasing the cost of imported sensors, cameras, microphones, and specialized AI processing hardware. Higher duties are raising deployment costs across facial, voice, and physiological signal recognition systems. Hardware heavy segments and device integrated solutions are most exposed to these price increases. Regions dependent on imported semiconductor and sensor components, especially in asia pacific and north america, are seeing procurement pressure. Vendors are shifting toward software centric models and locally sourced hardware options. Tariffs are also encouraging regional chip and sensor manufacturing investments. This supports stronger domestic AI hardware ecosystems over time.
The single-modal affective computing market research report is one of a series of new reports that provides single-modal affective computing market statistics, including single-modal affective computing industry global market size, regional shares, competitors with a single-modal affective computing market share, detailed single-modal affective computing market segments, market trends and opportunities, and any further data you may need to thrive in the single-modal affective computing industry. This single-modal affective computing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Single-modal affective computing is an artificial intelligence field focused on recognizing, interpreting, and responding to human emotions using data from a single source such as facial expressions, voice signals, text content, or physiological measurements. It analyzes emotional indicators within that one modality to determine affective states. It enables emotion-aware technologies in situations where only one type of input is feasible.
The primary components of single-modal affective computing include hardware and software. Hardware refers to devices such as cameras, microphones, and sensors used to collect physiological and behavioral signals for emotion detection. These solutions utilize technologies including facial recognition, voice analysis, gesture interpretation, and text-based emotion assessment. The applications include healthcare, education, gaming, automotive systems, and retail, and they are used by individual consumers and enterprise users.
The single-modal affective computing market consists of revenues earned by entities by providing services such as voice emotion recognition, text-based sentiment analysis, emotion detection from images or audio, affective data labeling, real-time emotion monitoring, and behavioral analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The single-modal affective computing market includes sales of emotion recognition engines, facial analysis tools, speech emotion analysis software, and sentiment analysis platforms. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
The single-modal affective computing market size is expected to see rapid growth in the next few years. It will grow to $12.82 billion in 2030 at a compound annual growth rate (CAGR) of 16.2%. The growth in the forecast period can be attributed to adoption in mental health screening, expansion in smart devices, rising use in customer service automation, growth in emotion aware interfaces, integration into interactive media systems. Major trends in the forecast period include voice based emotion recognition engines, facial expression analysis software, text sentiment detection platforms, real time emotion monitoring tools, edge based affective AI processing.
The expanding interest in mental health monitoring solutions is expected to stimulate the growth of the single-modal affective computing market in the future. Mental health monitoring solutions include technologies and systems that track psychological well-being by collecting and analyzing data to identify early indicators of mental health conditions. The growth of mental health monitoring solutions is supported by individuals seeking improved awareness and management of their mental well-being. Single-modal affective computing strengthens mental health monitoring solutions by enabling the identification of emotional states using a single data source to support mental health assessment and observation. For example, in January 2024, according to a survey published in the Journal of Medical Internet Research, a Canada-based peer-reviewed open-access journal, patients with mental health conditions reported using or being willing to use digital self-monitoring tools in 2024 compared with around 66% in 2023, demonstrating rising interest and acceptance as technology adoption increased. Therefore, the expanding interest in mental health monitoring solutions is advancing the growth of the single-modal affective computing market.
Leading companies operating in the single-modal affective computing market are concentrating on innovations in wearable and edge-based devices for real-time emotion monitoring, such as prosody-driven emotion recognition, to achieve competitive differentiation through low-latency inference, privacy-focused deployment, and more natural human-AI interactions. Prosody-driven emotion recognition refers to the process of identifying and interpreting emotional states using vocal characteristics rather than spoken content. For instance, in April 2023, Hume AI, a US-based company, introduced Hume’s Empathic Voice Interface (EVI) API. Hume’s Empathic Voice Interface (EVI) API provides a real-time, voice-only affective computing platform that enables emotionally intelligent interactions by analyzing users’ vocal prosody, including tone, rhythm, and timbre. It utilizes an empathic large language model to detect emotional signals and respond with contextually appropriate timing, language, and vocal expression. The API supports low-latency bidirectional audio streaming, enabling natural turn-taking and seamless interruption handling. By dynamically adjusting its own speech characteristics, EVI delivers responses that sound attentive, empathetic, and human-like.
In August 2025, Meta Platforms Inc., a US-based technology firm focused on social media, artificial intelligence, and immersive digital technologies, acquired WaveForms, Inc. for an undisclosed amount. This acquisition incorporates emotion-aware speech recognition and synthesis technologies into Meta’s platforms, particularly within its Superintelligence Labs, enabling more natural and emotionally responsive human-AI communication. WaveForms Inc. is a US-based artificial intelligence audio startup specializing in emotion-sensitive speech technologies that generate expressive, human-like voices.
Major companies operating in the single-modal affective computing market are Cogito Health Analytics Ltd., Empatica Inc., Noldus Information Technology B.V., Hume AI Inc., Beyond Verbal Ltd., iMotions A/S, VoiceSense Ltd., Realeyes Limited, Sentiance NV, Paravision Inc., Aural Analytics Inc., NVISO AG, Eyeris Technologies Inc., Ellipsis Health Inc., Behavioural Signals Ltd., Sonde Health Inc., BioBeats Ltd., Emteq Labs Ltd., Emoshape Ltd., Wluper Ltd., Vocalis Health Ltd., CrowdEmotion Ltd., and AffectLab Ltd.
Tariffs are affecting the single modal affective computing market by increasing the cost of imported sensors, cameras, microphones, and specialized AI processing hardware. Higher duties are raising deployment costs across facial, voice, and physiological signal recognition systems. Hardware heavy segments and device integrated solutions are most exposed to these price increases. Regions dependent on imported semiconductor and sensor components, especially in asia pacific and north america, are seeing procurement pressure. Vendors are shifting toward software centric models and locally sourced hardware options. Tariffs are also encouraging regional chip and sensor manufacturing investments. This supports stronger domestic AI hardware ecosystems over time.
The single-modal affective computing market research report is one of a series of new reports that provides single-modal affective computing market statistics, including single-modal affective computing industry global market size, regional shares, competitors with a single-modal affective computing market share, detailed single-modal affective computing market segments, market trends and opportunities, and any further data you may need to thrive in the single-modal affective computing industry. This single-modal affective computing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Single-modal affective computing is an artificial intelligence field focused on recognizing, interpreting, and responding to human emotions using data from a single source such as facial expressions, voice signals, text content, or physiological measurements. It analyzes emotional indicators within that one modality to determine affective states. It enables emotion-aware technologies in situations where only one type of input is feasible.
The primary components of single-modal affective computing include hardware and software. Hardware refers to devices such as cameras, microphones, and sensors used to collect physiological and behavioral signals for emotion detection. These solutions utilize technologies including facial recognition, voice analysis, gesture interpretation, and text-based emotion assessment. The applications include healthcare, education, gaming, automotive systems, and retail, and they are used by individual consumers and enterprise users.
The single-modal affective computing market consists of revenues earned by entities by providing services such as voice emotion recognition, text-based sentiment analysis, emotion detection from images or audio, affective data labeling, real-time emotion monitoring, and behavioral analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The single-modal affective computing market includes sales of emotion recognition engines, facial analysis tools, speech emotion analysis software, and sentiment analysis platforms. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Single-Modal Affective Computing Market Characteristics
3. Single-Modal Affective Computing Market Supply Chain Analysis
4. Global Single-Modal Affective Computing Market Trends and Strategies
5. Single-Modal Affective Computing Market Analysis Of End Use Industries
7. Global Single-Modal Affective Computing Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Single-Modal Affective Computing Total Addressable Market (TAM) Analysis for the Market
9. Single-Modal Affective Computing Market Segmentation
10. Single-Modal Affective Computing Market, Industry Metrics by Country
11. Single-Modal Affective Computing Market Regional and Country Analysis
12. Asia-Pacific Single-Modal Affective Computing Market
13. China Single-Modal Affective Computing Market
14. India Single-Modal Affective Computing Market
15. Japan Single-Modal Affective Computing Market
16. Australia Single-Modal Affective Computing Market
17. Indonesia Single-Modal Affective Computing Market
18. South Korea Single-Modal Affective Computing Market
19. Taiwan Single-Modal Affective Computing Market
20. South East Asia Single-Modal Affective Computing Market
21. Western Europe Single-Modal Affective Computing Market
22. UK Single-Modal Affective Computing Market
23. Germany Single-Modal Affective Computing Market
24. France Single-Modal Affective Computing Market
25. Italy Single-Modal Affective Computing Market
26. Spain Single-Modal Affective Computing Market
27. Eastern Europe Single-Modal Affective Computing Market
28. Russia Single-Modal Affective Computing Market
29. North America Single-Modal Affective Computing Market
30. USA Single-Modal Affective Computing Market
31. Canada Single-Modal Affective Computing Market
32. South America Single-Modal Affective Computing Market
33. Brazil Single-Modal Affective Computing Market
34. Middle East Single-Modal Affective Computing Market
35. Africa Single-Modal Affective Computing Market
37. Single-Modal Affective Computing Market Competitive Landscape and Company Profiles
38. Single-Modal Affective Computing Market Other Major and Innovative Companies
42. Single-Modal Affective Computing Market High Potential Countries, Segments and Strategies
43. Appendix
Executive Summary
Single-Modal Affective Computing Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses single-modal affective computing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
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- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for single-modal affective computing? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The single-modal affective computing market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Hardware; Software2) By Technology: Facial Recognition; Voice Recognition; Gesture Recognition; Textual Emotion Analysis
3) By Application: Healthcare; Education; Gaming; Automotive; Retail
4) By End-User: Individual Consumers; Enterprises
Subsegments:
1) By Hardware: Cameras; Microphones; Physiological Sensors; Wearable Devices; Processing Units2) By Software: Emotion Recognition Software; Facial Expression Analysis Software; Speech and Voice Analysis Software; Text Sentiment Analysis Software; Data Analytics and Visualization Software
Companies Mentioned: Cogito Health Analytics Ltd.; Empatica Inc.; Noldus Information Technology B.V.; Hume AI Inc.; Beyond Verbal Ltd.; iMotions A/S; VoiceSense Ltd.; Realeyes Limited; Sentiance NV; Paravision Inc.; Aural Analytics Inc.; NVISO AG; Eyeris Technologies Inc.; Ellipsis Health Inc.; Behavioural Signals Ltd.; Sonde Health Inc.; BioBeats Ltd.; Emteq Labs Ltd.; Emoshape Ltd.; Wluper Ltd.; Vocalis Health Ltd.; CrowdEmotion Ltd.; and AffectLab Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Single-Modal Affective Computing market report include:- Cogito Health Analytics Ltd.
- Empatica Inc.
- Noldus Information Technology B.V.
- Hume AI Inc.
- Beyond Verbal Ltd.
- iMotions A/S
- VoiceSense Ltd.
- Realeyes Limited
- Sentiance NV
- Paravision Inc.
- Aural Analytics Inc.
- NVISO AG
- Eyeris Technologies Inc.
- Ellipsis Health Inc.
- Behavioural Signals Ltd.
- Sonde Health Inc.
- BioBeats Ltd.
- Emteq Labs Ltd.
- Emoshape Ltd.
- Wluper Ltd.
- Vocalis Health Ltd.
- CrowdEmotion Ltd.
- and AffectLab Ltd.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | March 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 7.03 Billion |
| Forecasted Market Value ( USD | $ 12.82 Billion |
| Compound Annual Growth Rate | 16.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 24 |
