PUBLISHER: The Business Research Company | PRODUCT CODE: 1994770
PUBLISHER: The Business Research Company | PRODUCT CODE: 1994770
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.
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 from The Business Research Company 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.
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 16.0%. 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.
North America was the largest region in the single-modal affective computing market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the single-modal affective computing market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the single-modal affective computing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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.
Single-Modal Affective Computing Market Global Report 2026 from The Business Research Company 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.
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 from the Business Research Company 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.
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