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Digital Pathology & AI Diagnostics Patent Landscape

Digital Pathology & AI Diagnostics Patent Landscape
Competitive Landscape

Digital Pathology & AI Diagnostics Patent Landscape in 2026

The digital pathology and AI diagnostics space is concentrated, with the top five filers accounting for 38% of the hundred largest filers’ combined output and Ventana Medical Systems holding the leading position. The field has reached maturity — annual volume peaked in 2022 and has since plateaued — while image-processing and healthcare-informatics branches continue to dominate the technology mix.

6,146
Patent families in scope
38%
Top-5 share of top-100 filers
-5%
3-yr filing growth (lag-adj.)
United States
Leading jurisdiction
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Published byPatSnap Insights Team··7 min readVerified by PatSnap Eureka data
Overview

Ventana leads a concentrated but multi-tier field

These five account for 38% of the hundred largest filers’ combined total, signalling meaningful concentration at the top.

A clear tier gap separates the top four from the rest: the fifth-ranked applicant holds fewer than a quarter of the leader’s count, and ranks six through twenty are closely bunched between 68 and 163 patent families. This structure leaves room for focused challengers but makes displacement of the top two or three difficult without a step-change in filing strategy.

Leading applicants
#ApplicantPatent familiesShare
1Ventana Medical Systems Inc.693
2Paige AI Inc.507
3Fujifilm Corporation438
4Koninklijke Philips NV413
5Siemens Healthineers AG163
6F HOFFMANN LA ROCHE & CO AG157
7Leica Biosystems Imaging Inc.146
8Arch Development Corporation127
9Sony Group Corporation126
10Memorial Sloan Kettering Cancer Center115
#ApplicantPatent familiesShare
11GE Precision Healthcare LLC113
12Genentech Inc.104
13Siemens Medical Solutions USA Inc.104
14Samsung Electronics Co., Ltd.97
15University of Chicago95
16University of Pittsburgh95
17Canon Inc.90
18Merative US LP79
19F. Hoffmann-La Roche Inc.76
20Lunit Inc.68
↗ Hover a row · click a company to ask Eureka

Ventana’s sustained lead, combined with Paige AI’s large and AI-native portfolio, suggests that the leading positions reflect both legacy instrument-side depth and newer algorithm-focused coverage. Entrants seeking differentiation must navigate established IP in core image-analysis methods.

Filings from approximately 2024 onward are likely under-counted due to standard patent-publication lag; apparent volume in those years should not be read as a demand-side signal. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: PatSnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

Volume peaked in 2022; image-processing IP dominates the technology mix

The filing trend and technology composition together show a field that expanded rapidly through 2022, has since plateaued near that peak, and remains anchored in image-data processing with healthcare informatics as a strong secondary branch.

Annual filing trend

Annual filings grew from 332 in 2017 to a peak of 907 in 2022, then eased to 780 in 2023. Figures for 2024–2026 reflect publication lag and should be treated as lower bounds, not a continuing decline. The multi-year trajectory is still net-positive relative to 2017 but the field is no longer in rapid-growth mode.

Annual filing trendAnnual values from 2017 to 2026, peaking at 907 in 2022.3322017507201867120197972020875202190720227802023540202454920251882026↗ Hover for values · click a bar to ask Eureka

Technology composition

G06T (image data processing and generation) is by far the dominant branch, reflecting the centrality of whole-slide image analysis. G16H (healthcare informatics) and G06V (image and video recognition) form a strong second tier, while A61B (diagnosis and surgery) and G06N (AI model computing) add clinical and algorithmic depth. Lower-count branches such as G01N (material analysis) and G02B (optical elements) represent comparatively under-served adjacencies.

Technology compositionG06T · Image data processing & generation leads with 6,499; G16H · Healthcare informatics 3,311.G06T · Image data proces…6,499G16H · Healthcare inform…3,311G06V · Image/video recog…2,812A61B · Diagnosis & surgery1,978G06K · Data recognition …1,900G06N · Computing based o…1,774G06F · Electric digital …1,211G01N · Material analysis…665↗ Hover for values · click a bar to ask Eureka
Source: PatSnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly 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.

Featured patent
US20260098872A1Published 2026-04-09

Hybrid modular pathology archive scanning

Qtc MANAGEMENT, INC.

Methods and systems are provided for optimizing the digital scanning of pathology slides in a transportable lab. A computing device-implemented method is described for receiving a plurality of pathology slides in the transportable lab, sorting the plurality of pathology slides based upon pathology slide condition to determine which of a plurality of… (excerpt from the patent abstract)

Hybrid modular pathology archive scanning — patent drawingHybrid modular pathology archive scanning — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Computer-aided diagnosis system for medical use726
2Computer-assisted method and apparatus for analysi…592
3System and method for three-dimensional image rend…470
4Methods and systems for content processing459
5Methods for improving the accuracy in differential…447
6Object and spatial level quantitative image analysis416
7Lung nodule detection and classification389
8System and method of computer-aided detection378

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.

Source: PatSnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the competitive structure means for R&D investment

Four lenses — maturity, concentration, collaboration, and geography — shape how new entrants and incumbents should allocate effort in this space.

Maturity

Field has plateaued near its 2022 peak

The lifecycle stage is Maturity: annual filings peaked at 907 in 2022 and have plateaued near that level rather than continuing to climb. This signals that foundational methods are well-covered and incremental improvement patents are crowding the core branches. R&D investment in adjacent or cross-disciplinary branches is more likely to yield defensible white space than further filing in dominant image-processing classes.

Lifecycle: Mature
Concentration

Top four hold disproportionate share; tier-two is competitive

The top five filers account for 38% of the hundred largest filers’ combined output, with a pronounced gap after rank four. Ventana, Paige AI, Fujifilm, and Philips collectively anchor broad portfolios spanning image processing, healthcare informatics, and clinical diagnosis. The tier below rank five — with counts between 68 and 163 patent families — is closely contested and represents the most realistic entry point for challengers seeking to establish a ranked position.

Concentration: High
Collaboration

Roche-Ventana axis dominates co-filing; MSK cluster active in oncology

The most active co-filing relationship is between Ventana Medical Systems and F. Hoffmann-La Roche (78 joint families), reflecting their parent-subsidiary commercial alignment. F. Hoffmann-La Roche also co-files with Hoffmann-La Roche (28 families) and Genentech (16 families), forming a tightly integrated Roche group cluster. Separately, Memorial Sloan Kettering Cancer Center co-files with Memorial Hospital for Cancer and Allied Diseases and with Sloan Kettering Institute for Cancer Research (23 families each), indicating an academic-clinical oncology network. Ventana and Providence Health Services Oregon show a smaller but notable 11-family collaboration, pointing to clinical deployment partnerships.

Ecosystem: Clustered
Geography

US-dominant; Europe and PCT follow; Asia underweighted relative to output

The United States leads in patent records by a wide margin, followed by Europe (EPO), WIPO (PCT), and China. India and Japan represent meaningful secondary markets. The relatively limited presence in South Korea and Taiwan is notable given both jurisdictions’ diagnostic imaging manufacturing capacity. Applicants targeting global freedom-to-operate should prioritize US, EP, and PCT filings, with China and India as increasingly important secondary validations.

Geography: US-led
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Top collaboration links
ApplicantCollaboratorCo-filings
Ventana Medical Systems Inc.F. Hoffmann-La Roche Ltd.78
F. Hoffmann-La Roche Ltd.Hoffmann-La Roche AG28
Ventana Medical Systems Inc.Hoffmann-La Roche AG23
Memorial Sloan Kettering Cancer CenterMemorial Hospital for Cancer and Allied Diseases23
Memorial Sloan Kettering Cancer CenterSloan Kettering Institute for Cancer Research23
Ventana Medical Systems Inc.Genentech Inc.21
Koninklijke Philips NVPhilips Intellectual Property & Standards GmbH21
F. Hoffmann-La Roche Ltd.Roche Diagnostics GmbH18
F. Hoffmann-La Roche Ltd.Genentech Inc.16
Ventana Medical Systems Inc.Providence Health & Services (Oregon)11

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Insights derived from applicant ranking, lifecycle assessment, collaboration network, and jurisdiction distribution.Explore insights →
Leaders

Ventana anchors the field; Paige AI leads among AI-native challengers

The top two applicants differ markedly in portfolio character: Ventana’s depth spans traditional image analysis, while Paige AI’s portfolio is weighted toward healthcare informatics and clinical AI inference. Both are growing or stable in recent filings, setting them apart from several large incumbents whose recent momentum has eased.

Leader · Ventana Medical Systems

Ventana Medical Systems

Ventana holds 693 patent families — the largest portfolio in the ranking — with primary emphasis on image data processing and generation (G06T 7), image and video recognition (G06V 10), and data recognition and presentation (G06K 9). Recent filing momentum is positive at +17%, distinguishing Ventana from several incumbent players whose activity has declined. Its heaviest co-filing ties are with F. Hoffmann-La Roche and Genentech, reinforcing its position within the broader Roche diagnostics ecosystem.

families: 693
Challenger · Paige AI

Paige AI

Paige AI holds 507 patent families and leads among AI-native entrants, with its portfolio concentrated in healthcare informatics (G16H 30 and G16H 50) alongside image data processing (G06T 7). This informatics-heavy profile distinguishes it from instrument-rooted incumbents. Recent filing trend is slightly negative at –5%, likely reflecting publication lag in the most recent period rather than a strategic pullback, given the scale of its recent-period output of 230 families.

families: 507
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Fujifilm CorporationKoninklijke Philips NV+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Ventana Medical Systems Inc.154▲ +17%
Paige AI Inc.230▬ -5%
Fujifilm Corporation191▲ +14%
Koninklijke Philips NV34▼ -57%
F. Hoffmann-La Roche Ltd.33▼ -13%
Sony Group Corporation27▼ -50%
Siemens Healthineers AG47▼ -11%
Leica Biosystems Imaging Inc.24▼ -37%
Source: PatSnap Eureka. Player profiles derived from patent family counts, technology focus codes, and recent filing momentum.Explore players →
Adjacent Branches

Under-served branches adjacent to the dominant image-processing core

Several IPC classes appear at comparatively low share relative to the dominant G06T cluster. Two stand out as having both plausible technical value and a realistic entry path for teams already working in computational pathology.

G02B · Optical elements and systems

With 305 patent records and roughly 1% share among the top IPC classes, optical elements and systems is sparsely covered relative to the software-heavy core. Computational pathology increasingly depends on high-NA slide scanning, hyperspectral illumination, and light-sheet microscopy — hardware layers where IP is thin. Teams with expertise in optical engineering or microscopy optics could establish defensible positions in scanning hardware design, adaptive illumination, or lens-array architectures that feed directly into downstream AI pipelines.

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G16B · Bioinformatics

G16B (bioinformatics) carries 143 patent records — among the lowest of the clinically relevant branches — despite growing interest in integrating genomic, transcriptomic, and spatial-omics data with morphological image features. Multi-modal AI models that jointly reason over histology and molecular profiles represent a technically plausible and commercially relevant direction. The low current filing density suggests that teams developing cross-modal diagnostic algorithms could secure meaningful coverage before this sub-field attracts heavier incumbent attention.

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G01N · Material analysis and testingH04N · Pictorial communication (video/TV)+ more
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Source: PatSnap Eureka. Branch counts reflect patent records; a family may appear under multiple IPC classes.Explore emerging →
Route Matrix

How leaders differ across technology routes

Strength of each leader across the main technology routes.

PlayerG06T 7 · Image data processing & generationG16H 30 · Healthcare informaticsG06V 10 · Image/video recognitionG06K 9 · Data recognition & presentationG16H 50 · Healthcare informatics
Ventana Medical Systems Inc.Strong · 531Moderate · 121Moderate · 209Moderate · 190Emerging · 59
Paige AI Inc.Strong · 344Strong · 299Moderate · 139Moderate · 78Strong · 223
Fujifilm CorporationStrong · 244Strong · 253Moderate · 81Emerging · 36Moderate · 54
Koninklijke Philips NVStrong · 292Moderate · 104Moderate · 66Moderate · 84Emerging · 55
F. Hoffmann-La Roche Ltd.Strong · 133AbsentModerate · 41Moderate · 38Absent
Memorial Sloan Kettering Cancer CenterStrong · 100AbsentStrong · 73AbsentAbsent
Leica Biosystems Imaging Inc.Strong · 89Moderate · 35AbsentModerate · 34Absent
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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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.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. PatSnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

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