Digital Pathology Patent Landscape 2026
Digital Pathology Patent Landscape in 2026
Koninklijke Philips NV holds the largest position in digital pathology IP, with the field still expanding on a multi-year basis even as annual volume has eased from its 2019 peak. Activity is moderately concentrated among a few medical-device incumbents and academic centers, leaving meaningful room in AI-driven image recognition and data-processing branches.
Philips leads a moderately concentrated field with academic challengers close behind
Koninklijke Philips NV ranks first with 30 patent records, more than double the second-ranked Ventana Medical Systems (16 records) and nearly three times the third-ranked University of Pittsburgh (14 records), establishing a clear but not insurmountable lead.
The top five filers account for 27% of the combined total across the hundred largest filers, indicating moderate concentration: no single player commands a lock-in position, and academic institutions occupy two of the top five slots, signaling that foundational research remains a meaningful source of new IP.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Koninklijke Philips NV | 30 | |
| 2 | Ventana Medical Systems Inc | 16 | |
| 3 | University of Pittsburgh | 14 | |
| 4 | Enzyvant Therapeutics GmbH | 12 | |
| 5 | Synaptive Medical Inc | 11 | |
| 6 | Washington University in St. Louis | 10 | |
| 7 | Proscia Inc | 9 | |
| 8 | Vergent Bioscience Inc | 8 | |
| 9 | Merative US LP | 7 | |
| 10 | MAYO FOUNDATION FOR MEDICAL EDUCATION & RESEARCH | 6 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Konfoong Biotech International | 6 | |
| 12 | Sony Group Corporation | 6 | |
| 13 | Infinitt Healthcare Co Ltd | 5 | |
| 14 | Verily Life Sciences LLC | 5 | |
| 15 | Memorial Sloan Kettering Cancer Center | 4 | |
| 16 | Bayer Healthcare LLC | 4 | |
| 17 | Philips GmbH | 4 | |
| 18 | Google LLC | 4 | |
| 19 | Albert Einstein College of Medicine of Yeshiva University | 4 | |
| 20 | Forest Neurotech LLC | 4 |
Philips’ lead, reinforced by its Philips GmbH affiliate (ranked 17th with 4 records), suggests a deliberate platform strategy spanning imaging hardware, diagnostic informatics, and healthcare IT. Challengers Ventana Medical Systems and the University of Pittsburgh are differentiated by their emphasis on image-processing and material-analysis branches respectively, giving each a defensible niche.
The most recent 18–24 months of data are subject to publication lag and likely understate current filing activity; 2025–2026 figures should be treated as floors rather than final counts. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Multi-year growth with a 2019 peak, anchored by diagnosis and informatics branches
The filing trend reveals a field that has grown 30% on a recent three-year versus prior three-year basis, while the technology composition shows that clinical-diagnostic and healthcare-informatics classes dominate, with AI and image-recognition branches still at lower but rising shares.
Annual filing trend
Filings peaked in 2019 (35 records), dipped in 2020, recovered through 2022–2023 (31–34 records), and appear lower in 2024–2026 — a pattern consistent with publication lag rather than a genuine decline. The 30% recent-window growth confirms the field is still expanding on a multi-year basis.
↗ Hover for values · click a bar to ask EurekaTechnology composition
A61B (Diagnosis & surgery) dominates with 286 records, reflecting the hardware and clinical-workflow core of digital pathology. G16H (Healthcare informatics, 107) and G06T (Image data processing, 96) form a second tier, while G06N (AI models, 39) and G06V (Image/video recognition, 50) represent the fastest-growing adjacent classes and remain relatively sparse compared to the clinical anchor.
↗ 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.
Systems and methods in digital pathology
A system and method of increasing digital pathology productivity is provided. The system accepts case information from a plurality of sources and pre-processes that information in order to present the slides in an order and orientation dictated by preference and/or reviewing standard. Upon application of the system and method, the appearance and behavior of… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Systems and Methods for 4-D Hyperspectral Imaging | 69 |
| 2 | Methods, systems, and computer readable media for … | 64 |
| 3 | Method and system for providing centralized anatom… | 54 |
| 4 | Radiologically identified tumor habitats | 44 |
| 5 | Pathology method | 36 |
| 6 | Dynamic digital image compression based on digital… | 35 |
| 7 | Method and Apparatus for Diagnosing Malignant Tumor | 34 |
| 8 | Augmented reality microscope for pathology with ov… | 32 |
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.
What the IP structure means for R&D investment decisions
Four structural factors — lifecycle stage, competitive concentration, collaborative patterns, and geographic spread — together define the risk-reward profile of entering or expanding in digital pathology IP.
Growth stage with an eased annual pace
The field is classified as Growth: the recent three-year filing window sits well above the prior three-year window, confirming sustained expansion. However, annual volume has eased from its 2019 peak, so the technology is past its steepest ramp. Entrants still have time to build defensible positions, but the window for low-cost, foundational claims is narrowing.
Growth · post-peakModerate — top five hold 27% of the leading filers’ output
The top five filers account for 27% of the hundred largest filers’ combined records, a moderate concentration that leaves room for challengers. Two of those five are universities, indicating that licensing and sponsored-research routes remain viable entry paths alongside organic filing. No single entity appears close to establishing a blocking portfolio across the full stack.
Moderate concentrationIntra-group and vertical partnerships dominate co-filing
The most active co-filing pairs are Koninklijke Philips NV with Philips GmbH (2 joint records) and Ventana Medical Systems with Genentech (2 joint records). Ventana and F. Hoffmann-La Roche have one co-filed record, reflecting a vertical diagnostics-pharma linkage. Co-filing activity is limited in absolute terms, suggesting that deeper consortium or cross-institutional collaboration remains an open strategic lever.
Intra-group & verticalUS-centric with strong PCT and EPO coverage
The United States leads with 102 patent records, followed by WIPO PCT (55) and Europe via EPO (52), indicating that the main players are prosecuting for broad international protection. India (38 records) is a notable third national office, likely reflecting both filing activity from Indian inventors and market-access strategy. South Korea and Japan each hold 6 and 5 records respectively, leaving Asia-Pacific coverage relatively thin outside India.
US-first, PCT-broadGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| Koninklijke Philips NV | Philips GmbH | 2 |
| Ventana Medical Systems Inc | Genentech Inc | 2 |
| Synaptive Medical (Barbados) Inc | Synaptive Medical Inc | 2 |
| Ventana Medical Systems Inc | F. Hoffmann-La Roche Ltd | 1 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Philips anchors the clinical core; Ventana bridges diagnostics and image processing
The two leading applicants differ meaningfully in technology emphasis: Philips concentrates on diagnostic and surgical instrumentation, while Ventana Medical Systems blends clinical hardware with image-data processing and pattern-recognition branches.
Koninklijke Philips NV
Philips holds 30 patent records — the largest portfolio in scope — concentrated in A61B diagnosis and surgery subclasses, reflecting a hardware-and-workflow platform strategy. Its affiliate Philips GmbH contributes a further 4 records, reinforcing the group’s combined footprint. Momentum shows a ‘new entrant’ trend signal in the most recent window, suggesting recent filing activity is still materializing through publication lag.
30 patent recordsVentana Medical Systems Inc
Ventana ranks second with 16 patent records, spanning clinical diagnosis (A61B), image data processing (G06T), and data recognition (G06K) — a broader technology mix than Philips. Its co-filing relationship with Genentech and F. Hoffmann-La Roche ties its IP strategy to the pharma companion-diagnostics pipeline. Momentum also registers as ‘new entrant,’ indicating recent records are still entering the published record.
16 patent records| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Koninklijke Philips NV | 2 | ▲ new entrant |
| Ventana Medical Systems Inc | 4 | ▲ new entrant |
| University of Pittsburgh | 6 | ▲ new entrant |
| Proscia Inc | 1 | ▲ new entrant |
| Washington University in St. Louis | 6 | ▲ new entrant |
| Vergent Bioscience Inc | 8 | ▲ new entrant |
| Sony Group Corporation | 3 | ▲ new entrant |
Under-served branches in AI recognition and data-processing warrant monitoring
Several IPC classes adjacent to the dominant clinical core carry lower record counts relative to their technical relevance, suggesting these branches are currently under-served within this corpus. Each has plausible value in digital pathology workflows and a realistic entry path for players with existing AI or informatics capabilities.
G06N · Computing based on AI models
With 39 patent records, AI-model computing sits at roughly one-seventh the volume of the dominant A61B class, despite AI-driven slide analysis being a central commercial promise of digital pathology. This sparsity suggests that foundational AI-inference claims — covering model architectures and training pipelines specific to histopathology — remain largely unclaimed relative to the application layer. Entrants with deep-learning or federated-learning expertise could file in this branch without facing the dense prior-art thicket present in clinical-hardware classes.
Search this in Eureka →G06V · Image/video recognition
G06V holds 50 patent records — the same count as G01N but a significantly smaller share than the informatics and image-processing tiers above it. As whole-slide image analysis moves toward automated cell-level recognition and multi-modal video pathology, this branch is technically adjacent and commercially relevant. The current low relative density, combined with the growing use of transformer-based vision models in pathology, makes G06V a plausible expansion frontier for players already active in G06T image processing.
Search this in Eureka →How leading applicants differ across technology routes
Strength of each leader across the main technology routes.
| Player | A61B 5 · Diagnosis & surgery | G06T 7 · Image data processing & generation | G16H 30 · Healthcare informatics | G16H 50 · Healthcare informatics | A61B 10 · Diagnosis & surgery |
|---|---|---|---|---|---|
| Koninklijke Philips NV | Strong · 30 | Absent | Absent | Absent | Strong · 21 |
| Ventana Medical Systems Inc | Strong · 16 | Strong · 12 | Moderate · 4 | Absent | Absent |
| University of Pittsburgh | Strong · 12 | Absent | Moderate · 4 | Moderate · 4 | Absent |
| Vergent Bioscience Inc | Strong · 8 | Absent | Absent | Absent | Strong · 8 |
| DR Systems Inc | Strong · 6 | Strong · 6 | Strong · 4 | Absent | Absent |
| Enzyvant Therapeutics GmbH | Strong · 11 | Moderate · 4 | Absent | Absent | Absent |
| Proscia Inc | Strong · 9 | Absent | Moderate · 3 | Moderate · 3 | Absent |
Frequently asked questions
Koninklijke Philips NV leads with 30 patent records, well ahead of the second-ranked Ventana Medical Systems (16 records) and the University of Pittsburgh (14 records). Philips’ affiliate Philips GmbH adds a further 4 records, reinforcing the group’s combined position.
Yes, on a multi-year basis. Recent three-year filings are 30% above the prior three-year window, placing the field in a Growth lifecycle stage. Annual volume peaked in 2019 and has since eased, but 2024–2026 figures are understated by publication lag and should be treated as floors.
A61B (Diagnosis & surgery) is dominant with 286 patent records. G16H (Healthcare informatics, 107) and G06T (Image data processing, 96) form a second tier. AI-model computing (G06N, 39) and image/video recognition (G06V, 50) are present but remain relatively sparse.
The United States leads with 102 patent records, followed by WIPO PCT (55) and Europe via EPO (52). India is the third national office with 38 records. South Korea and Japan each hold fewer than 10 records, indicating relatively limited Asia-Pacific coverage outside India.
Yes. The University of Pittsburgh (14 records) and Washington University in St. Louis (10 records) both rank in the top six applicants, and Mayo Foundation for Medical Education & Research (6 records) and Memorial Sloan Kettering Cancer Center (4 records) also appear. This academic presence suggests that licensing and sponsored-research arrangements are viable entry paths alongside organic corporate filing.
The highest-cited work in this corpus covers systems and methods for 4-D hyperspectral imaging (69 citations), followed by methods for centralized pathology data (64 citations) and a method for centralized anatomical data management (54 citations). Radiologically identified tumor habitats and a general pathology method round out the top five most-cited titles.
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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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