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Retrieval-Augmented Generation Patent Landscape 2026

Retrieval-Augmented Generation Patent Landscape 2026
Competitive Landscape

Retrieval-Augmented Generation Patent Landscape in 2026

Retrieval-Augmented Generation has entered a sharp growth phase, with the corpus reaching 11,873 patent families and annual filings accelerating dramatically from 2022 onward. Microsoft Technology Licensing leads by family count, but the field is fragmented enough that no single applicant dominates — the top five filers account for only 17% of the hundred largest filers’ combined total.

11,873
Patent families in scope
17%
Top-5 share of top-100 filers
+1899%
3-yr filing growth (lag-adj.)
China
Leading jurisdiction
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Published byPatSnap Insights Team··7 min readVerified by PatSnap Eureka data
Overview

Microsoft leads a fragmented field with no dominant incumbent

Microsoft Technology Licensing LLC holds the top position with 198 patent families, followed closely by Alipay (Hangzhou) Information Technology Co., Ltd. at 119, Oracle International Corporation at 117, Salesforce Inc. at 110, and. China Mobile Communications Group Co., Ltd. at 106. The ranking reflects strong participation from both U. S. platform vendors and Chinese technology and telecoms players.

The top five filers’ 17% share of the hundred largest filers’ combined total signals a highly distributed competitive structure. No single applicant has established a commanding lead, and the gap between the first-ranked applicant and the tenth (Citibank, N. A. at 84 patent families) is narrower than is typical in more mature technology fields, suggesting the race remains genuinely open.

Leading applicants
#ApplicantPatent familiesShare
1Microsoft Technology Licensing LLC198
2Alipay (Hangzhou) Information Technology Co., Ltd.119
3Oracle International Corporation117
4Salesforce Inc.110
5China Mobile Communications Group Co., Ltd.106
6NVIDIA Corporation101
7Dell Products LP90
8China Telecom Corporation Limited87
9BEIJING BAIDU NETCOM SCI & TECH CO LTD85
10Citibank, N.A.84
#ApplicantPatent familiesShare
11Intuit Inc.76
12Amazon Technologies Inc.71
13Google LLC64
14Tencent Technology (Shenzhen) Co., Ltd.64
15Inspur Suzhou Intelligent Technology Co., Ltd.59
16Lenovo (Beijing) Ltd.58
17IBM Corporation57
18Huawei Technologies Co., Ltd.55
19Zhejiang University53
20The Toronto-Dominion Bank53
↗ Hover a row · click a company to ask Eureka

The breadth of the top-20 — spanning cloud platforms, enterprise software, financial services, telecoms infrastructure, and academic research — implies that RAG is being claimed simultaneously as a foundational AI technique and as a domain-specific application layer. Entrants positioning in any of these verticals face overlapping prior art across at least three distinct applicant communities.

Filing counts for the most recent 18–24 months are systematically understated due to publication lag; apparent growth should be read as a lower bound, not a ceiling. 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

Filings accelerating sharply since 2022; digital data processing dominates the IPC mix

Two views of the corpus reveal a technology still in rapid expansion: annual filing volume inflected sharply upward beginning in 2022, and the IPC class distribution is heavily concentrated in general digital data processing and AI model classes, with a long tail of applied-domain branches.

Annual filing trend

Volume was negligible through 2021 (27 families in 2017, 73 in 2021), then jumped to 170 in 2022, 632 in 2023, and 4,235 in 2024. The 2025 figure of 5,632 represents the largest single-year count on record. The 2026 figure of 867 is a partial year affected by publication lag and should not be read as a slowdown. The lifecycle evidence confirms the field is in a Growth stage with annual filings still rising.

Annual filing trendAnnual values from 2017 to 2026, peaking at 5,632 in 2025.2720175820181052019742020732021170202263220234,23520245,63220258672026↗ Hover for values · click a bar to ask Eureka

Technology composition

G06F (Electric digital data processing) is the dominant IPC class, reflecting RAG’s core dependence on indexing, retrieval, and language processing infrastructure. G06N (Computing based on AI models) is the second-largest class, confirming that neural-model integration is a primary patent claim axis. G06Q (Business, commerce and administrative data processing), G06V (Image/video recognition), and H04L (Digital information transmission) are the next-largest classes but at substantially lower counts, indicating that enterprise and multimodal applications are filed but not yet as densely claimed as core infrastructure.

Technology compositionG06F · Electric digital data processing leads with 11,022; G06N · Computing based on AI models 6,094.G06F · Electric digital …11,022G06N · Computing based o…6,094G06Q · Business, commerc…1,678G06V · Image/video recog…737H04L · Digital informati…537G16H · Healthcare inform…400G10L · Speech & audio an…353G06T · Image data proces…314↗ 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
US20260065088A1Published 2026-03-05

System and method for use of in-memory data grid a…

Oracle International Corporation

In accordance with an embodiment, described herein are systems and methods for use of an in-memory data grid as a vector database, with linearly-scalable data ingestion, for use in generative artificial intelligence (AI), data visualization, or other applications that include the use of a large language model (LLM) or a retrieval-augmented generation (RAG)… (excerpt from the patent abstract)

System and method for use of in-memory data grid a… — patent drawingSystem and method for use of in-memory data grid a… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Automatically assigning medical codes using natura…656
2Method and apparatus for tracking vehicle location419
3Resolution independent vector display of internet …372
4Context vector generation and retrieval363
5Method and apparatus for tracking vehicle location340
6Composite symbolic and non-symbolic artificial int…321
7Method and apparatus for tracking vehicle location192
8Convergent Intelligence Fabric for Multi-Domain Or…169

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 strategy

United States defines both the opportunity and the risk landscape for new entrants.

Growth

Growth stage: filings accelerating, foundational claims still being filed

The lifecycle evidence classifies RAG as a Growth-stage technology, with annual filings still rising and recent years understated by publication lag. Foundational retrieval-index and model-integration claims are actively being filed by a broad set of applicants, meaning the window for staking core positions has not closed but is narrowing. R&D investment made now will face a more crowded prior-art environment within two to three years.

Growth · Active filing window
Concentration

Fragmented top tier: 17% top-5 share leaves room for challengers

The top five filers hold only 17% of the hundred largest filers’ combined total, a low concentration ratio for a technology this young. The first-to-tenth rank gap is narrow. This structure means freedom-to-operate analysis should cover at least the top 20 applicants, but also that a focused filer entering now can realistically build a competitive position without facing a single dominant blocker.

Low concentration
Collaboration

China Telecom and China Mobile subsidiaries are the most active co-filers

The densest co-filing relationships are within Chinese telecoms groups. China Telecom Corp. Ltd. and its Technology Innovation Center co-filed 45 patent families — the largest single co-filing relationship in the corpus. China Mobile Communications Group Co., Ltd. maintains active co-filing relationships with at least seven subsidiaries and research units, with pairings ranging from 5 to 14 families each. These intra-group filings suggest coordinated, portfolio-building strategies rather than opportunistic single filings, and may indicate prior-art clusters that external applicants should map carefully.

Intra-group co-filing dominant
Geography

China is the primary filing jurisdiction; U.S. and PCT filings signal global protection intent

China accounts for the largest share of filings at the patent-record level, followed by the United States and WIPO PCT. India ranks fourth, suggesting that South Asian enterprise-software markets are being designated for protection. Europe (EPO) and Japan trail significantly. Applicants building a global portfolio should treat China and the United States as mandatory jurisdictions and evaluate PCT entry for cost-efficient multi-territory coverage.

China-first, U.S. second
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Top collaboration links
ApplicantCollaboratorCo-filings
China Telecom Corporation LimitedChina Telecom Corporation Limited Technology Innovation Center45
China Mobile Communications Group Co., Ltd.China Mobile Information Technology Co., Ltd.14
China Mobile Communications Group Co., Ltd.China Mobile Research Institute14
China Mobile Communications Group Co., Ltd.China Mobile Group Design Institute Co., Ltd.9
China Mobile Communications Group Co., Ltd.China Mobile Xiongan Information and Communication Technology Co., Ltd.7
China Mobile Communications Group Co., Ltd.China Mobile System Integration Co., Ltd.7
China Mobile Communications Group Co., Ltd.China Mobile Information Systems Integration Co., Ltd.7
China Mobile Communications Group Co., Ltd.China Mobile Information Technology Co., Ltd. (subsidiary)7
China Mobile Communications Group Co., Ltd.China Mobile IoT Co., Ltd.5
China Mobile Communications Group Co., Ltd.China Mobile (Hangzhou) Information Technology Co., Ltd.5

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

Source: PatSnap Eureka. Insights are derived from applicant ranking, lifecycle, collaboration, and jurisdiction evidence.Explore insights →
Leaders

Microsoft and Dell lead on volume; NVIDIA differentiates on language-processing focus

The top applicants entered RAG patent filing as new entrants in the recent window, confirming that most volume has been filed within the current growth phase. Technology emphasis diverges meaningfully across leaders, creating differentiated claim landscapes.

Leader · Microsoft Technology Licensing LLC

Microsoft Technology Licensing LLC

Microsoft leads the ranking with 198 patent families and shows a trajectory classified as a new entrant in the recent filing window, with 122 families filed in the recent period alone. Its technology emphasis concentrates on G06F 16 (digital data processing, information retrieval) at 120 filings, followed by G06F 40 (natural language processing) at 55 and G06N 3 (neural computing models) at 55. This tripartite focus — retrieval infrastructure, NLP, and neural models — maps directly to the core RAG architecture stack, suggesting Microsoft is pursuing broad foundational coverage rather than a single-application niche.

patent families: 198
Challenger · Dell Products LP

Dell Products LP

Dell Products LP ranks seventh with 90 patent families and enters the recent window as a new entrant with 85 families filed recently, indicating that virtually its entire RAG portfolio has been built in the current growth surge. Its technology emphasis is heavily weighted toward G06F 16 (information retrieval, 78 filings), with comparatively lighter coverage of G06F 40 (12) and G06N 3 (9). This profile suggests Dell is focusing on retrieval-layer infrastructure — consistent with enterprise server and storage use cases — rather than model-integration or NLP-generation claims.

patent families: 90
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Microsoft Technology Licensing LLC122▲ new entrant
Alipay (Hangzhou) Information Technology Co., Ltd.27▲ new entrant
Oracle International Corporation47▲ new entrant
Dell Products LP51▲ new entrant
China Mobile Communications Group Co., Ltd.35▲ new entrant
NVIDIA Corporation58▲ new entrant
Dell Products LP85▲ new entrant
China Telecom Corporation Limited28▲ new entrant
Source: PatSnap Eureka. Player cards cite patent family counts from the applicant ranking and technology emphasis from IPC sub-class analysis.Explore players →
Adjacent Branches

Under-served branches in healthcare informatics and speech processing

Several IPC branches adjacent to the dominant G06F/G06N core show patent-record counts that are low relative to their technical plausibility as RAG application domains, representing areas where existing RAG infrastructure could be extended with comparatively less prior-art competition.

G16H · Healthcare informatics

G16H covers clinical decision support, patient record retrieval, and medical knowledge management — all natural application domains for RAG systems that retrieve from structured clinical corpora. With 400 patent records, this branch is notably sparse relative to the broader corpus and relative to the demonstrated demand for evidence-based clinical AI. Entry paths include retrieval over electronic health record databases, drug-interaction knowledge bases, and clinical-trial registries. Applicants with existing G06F 16 or G06N 3 portfolios would have a plausible technical bridge into this branch.

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G10L · Speech and audio analysis/synthesis

G10L covers automatic speech recognition, speaker verification, and audio synthesis — components increasingly integrated with RAG pipelines in voice-assistant and call-centre automation contexts. With 353 patent records, this branch is sparse given the commercial momentum of voice-enabled LLM applications. The entry path is technically direct: spoken-query transcription feeds a retrieval step, and synthesised speech delivers the grounded response. Applicants in enterprise communications or contact-centre infrastructure are best positioned to extend existing RAG claims into this branch.

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G06V · Image/video recognitionH04L · Digital information transmission+ more
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Source: PatSnap Eureka. Branch counts reflect patent records classified under each IPC class; sparsity is assessed relative to the dominant G06F class.Explore emerging →
Route Matrix

How leaders differ by IPC technology route

Strength of each leader across the main technology routes.

PlayerG06F 16 · Electric digital data processingG06F 40 · Electric digital data processingG06N 3 · Computing based on AI modelsG06N 5 · Computing based on AI modelsG06F 18 · Electric digital data processing
Alipay (Hangzhou) Information Technology Co., Ltd.Strong · 92Moderate · 46Strong · 57Strong · 76Moderate · 26
China Mobile Communications Group Co., Ltd.Strong · 92Moderate · 41Moderate · 42Strong · 52Moderate · 21
Microsoft Technology Licensing LLCStrong · 120Moderate · 55Moderate · 55AbsentAbsent
China Telecom Corporation LimitedStrong · 74Strong · 41Moderate · 27Strong · 49Moderate · 16
Dell Products LPStrong · 73Strong · 62Moderate · 25AbsentAbsent
MADISETTI VIJAYStrong · 76Strong · 76AbsentAbsentAbsent
Beijing Baidu Netcom Science & Technology Co., Ltd.Strong · 72AbsentModerate · 27Moderate · 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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