Wearable Sensing AI/ML Patent Snapshot 2026
The wearable sensing AI/ML field is in a growth stage, with recent three-year filings well above the prior window, though annual volume has eased from its 2023 peak. Texavie Technologies leads a fragmented field dominated by diagnostic sensing, with India and the United States as the primary filing jurisdictions.
Texavie Technologies leads a nascent, fragmented field
Texavie Technologies Inc holds the top position with 5 patent records, followed by Limbic Ltd and IBM each with 4 patent records, and Bang & Olufsen and the Arizona Board of Regents each with 3 patent records.
The top five filers together account for 44% of the ranked applicants visible in this query’ combined total, a notable concentration for a corpus of this size, yet the presence of multiple universities and research institutes in the ranking signals that no single commercial entity has consolidated a visible position.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Texavie Technologies Inc | 5 | |
| 2 | Limbic Ltd | 4 | |
| 3 | IBM (International Business Machines Corporation) | 4 | |
| 4 | BANG & OLUFSEN AS | 3 | |
| 5 | Arizona Board of Regents on behalf of the University of Arizona | 3 | |
| 6 | The Chinese University of Hong Kong | 2 | |
| 7 | Chandigarh University | 2 | |
| 8 | Vellore Institute of Technology Chennai | 2 | |
| 9 | Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences | 2 | |
| 10 | Ramdeobaba University | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Qing Ding Precision Electronics (Huai’an) Co., Ltd. | 1 | |
| 12 | Avary Holding (Shenzhen) Co., Ltd. | 1 | |
| 13 | Sage University | 1 | |
| 14 | Vaibhav Laxman Dhasal | 1 | |
| 15 | SHRI RAMDEOBABA COLLEGE OF ENG & MANAGEMENT | 1 | |
| 16 | Florida International University | 1 | |
| 17 | University of Alicante | 1 | |
| 18 | Balkrishna Patil Aniruddha | 1 | |
| 19 | Parul University (Parul Institute of Physiotherapy) | 1 | |
| 20 | Hardas Bhalchandra M | 1 |
The leaders’ positions imply that both specialized startups (Texavie, Limbic) and established technology corporations (IBM, Bang & Olufsen) are staking claims in the space, creating a competitive dynamic where agile entrants can still differentiate through focused technical approaches.
The most recent 18–24 months of filings are under-counted due to patent publication lag; final totals for 2024–2026 will be higher than currently visible. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity surged in 2023; diagnostic sensing dominates the technology mix
The filing trend reveals an uneven but upward multi-year trajectory, while the technology composition chart shows a heavy tilt toward clinical diagnostic applications rather than purely computational or textile-fabric innovation.
Annual filing trend
Annual filings were negligible before 2020, spiked to 10 records in 2023, and appear lower in 2024–2026 — a pattern that reflects publication lag rather than a real decline; the field remains in a growth stage on a multi-year basis with 33% recent-window growth.
↗ Hover for values · click a bar to ask EurekaTechnology composition
A61B (Diagnosis & surgery) is the visible branch by a wide margin, followed by G16H (Healthcare informatics) and A41D (Outerwear & garments), indicating that the primary commercial focus is on clinical-grade biometric monitoring rather than general-purpose AI processing or garment construction.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Devices with smart textile touch sensing capabilit…
A system can include a smart textile arranged on at least a portion of a surface of a device; and at least one processor communicatively coupled with the smart textile and configured to receive at least one signal from the smart textile related to input to the smart textile, process the at least one signal to identify at least one characteristic of the… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Gloves with sensors for monitoring and analysis of… | 159 |
| 2 | 一种基于躯感网的可连续测量多生理参数的穿戴式系统 | 38 |
| 3 | Smart Textile to Predict Risk of Diabetic Foot Ulcer | 23 |
| 4 | Photo Tagging With Biometric Metadata Generated By… | 17 |
| 5 | Smart textile to predict risk of diabetic foot ulcer | 16 |
| 6 | Mental state determination method and system | 12 |
| 7 | Patient monitoring and treatment using electronic … | 7 |
| 8 | Photo tagging with biometric metadata generated by… | 4 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
Texavie Technologies Inc
Texavie holds 5 patent records, the highest in the corpus, concentrated in A61B5 (biometric diagnosis), G06N20 (AI/ML computing models), and G16H50 (healthcare informatics) — a tightly integrated stack from sensor to clinical decision support. Momentum is flagged as a new entrant, meaning all activity is recent and the position has been built quickly, indicating focused IP strategy rather than a long-established portfolio.
patent records: 5Bang & Olufsen
Bang & Olufsen holds 3 patent records, differentiated by a focus on A41D (outerwear & garments) and A41H (tailoring & garment making) — the garment-construction side of smart textiles — rather than diagnostics or AI modeling. Momentum is also flagged as a new entrant, signaling a recent strategic pivot into wearable sensing that is structurally distinct from the diagnostics-visible cluster led by Texavie and IBM.
patent records: 3Frequently asked questions
The corpus covers 30 patent families. The most recent 18–24 months of filings are under-counted due to publication lag, so the final count will be higher.
Texavie Technologies Inc leads with 5 patent records, followed by Limbic Ltd and IBM with 4 each, and Bang & Olufsen and the Arizona Board of Regents with 3 each.
A61B (Diagnosis & surgery) is the visible branch by a wide margin, followed by G16H (Healthcare informatics) and A41D (Outerwear & garments), indicating a clinical-diagnostic focus rather than a general computing or textile emphasis.
India leads with 11 patent records, followed by the United States with 10 and WIPO (PCT) with 8. Europe (EPO) has 5 records, and China, Canada, and Singapore each have 1–2 records.
The field is classified as Growth: recent three-year filings sit well above the prior three-year window, reflecting 33% growth. Annual volume has eased from the 2023 peak, and publication lag further understates recent years.
Collaboration is sparse. The most active co-filing pair is the Chinese University of Hong Kong and the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, with 2 co-filed records. Avary Holding (Shenzhen) and Qing Ding Precision Electronics (Huai’an) share 1 co-filed record. Most applicants are filing independently.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
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