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Fuel Cell MEA Patents: Who Leads, Where the Gaps Are 2026

Fuel Cell MEA Patents: Who Leads, Where the Gaps Are 2026
https://www.patsnap.com/resources/blog/rd-blog/fuel-cell-membrane-electrode-assembly-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Hydrogen & Fuel Cells · Patent Landscape
Fuel Cell Membrane Electrode Assembly Patents
  • Filing has cooled since 2021. the peak year for MEA filings, with the count roughly halved by the most recent complete year — a sign claim space is settling rather than expanding.
  • Two automakers file as one bloc. the strongest co-assignee pair in the dataset links two Korean automakers on 205 shared filings, far ahead of any other pairing.
  • Momentum has gone quiet at the top. several of the most active historical filers show zero or sharply negative year-on-year activity in the latest data, even as a few materials specialists still file.
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9,525
Published Records
30%
Top-5 Share of All Records
-41%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (446 records) with 2024 (264) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 9,525 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··8 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This landscape tracks patent families addressing the fuel cell membrane electrode assembly (MEA) — the catalyst-coated membrane, gas diffusion layer, ionomer distribution and water-management architecture that sits at the core of a proton-exchange-membrane fuel cell. The search combines MEA-specific title/abstract terms with claim-level language on platinum loading, ionomer content, gas diffusion layer design and durability, scoped to the core electrochemical-cell IPC classes.

The corpus spans filings from 2015 through mid-2026, with the most recent year necessarily incomplete because publication typically lags filing by around 18 months. Coverage runs across major receiving offices including the United States, Europe, Japan, the WIPO PCT route, South Korea and China, giving a reasonably global view of where MEA claim activity concentrates.

Filing activity and technology composition, 2015–2026
  1. 1TOYOTA JIDOSHA KK957
  2. 2NISSAN MOTOR CO LTD620
  3. 3HONDA MOTOR CO LTD584
  4. 4HYUNDAI MOTOR CO LTD386
  5. 53M INNOVATIVE PROPERTIES CO323
  6. 6TORAY INDUSTRIES INC256
  7. 7AGC INC255
  8. 8LG CHEM LTD238
  9. 9PANASONIC HOLDINGS CORP228
  10. 10KIA CORPORATION215
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Fuel Cell Membrane Electrode Assembly covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Data

Filing trends and technology composition

Two views of the same 9,525-family dataset: how filing volume has moved year over year, and which IPC subclasses carry the underlying claim density.

A peak already behind us

Filings rose from 382 in 2017 to a peak of 446 in 2021, then declined to 351 by the 2022 midpoint and down to single digits by 2026 — though the tail years are undercounted due to publication lag. Read this as consolidation of an already-claimed core rather than a shrinking field.

A peak already behind us0125250375500382201720182019202044620212022202320242025122026Most recent year is partial — publication lag means later filings are not yet visible.

Concentrated in H01M, with materials science at the margins

Almost the entire corpus (9,520 of 9,525 records) sits in H01M — batteries, cells and fuel cells — confirming this is a tightly scoped MEA dataset. Secondary volume in C25B (electrolytic production), C08J/C08F/C08G (polymer processing and polymer chemistry), B01J (catalysis) and B05D (coating processes) marks the adjacent disciplines — ionomer chemistry, catalyst-coating methods — that MEA claims routinely draw on.

Concentrated in H01M, with materials science at the marginsH01M · Batteries, cells & fuel cells9,52099.9%C25B · Electrolytic production of com…6096.4%C08J · Polymer processing & solutions5215.5%B01J · Chemical/physical processes & …4955.2%H01B · Cables, conductors & insulators4875.1%B05D · Coating processes2712.8%C08F · Addition polymers (vinyl etc.)2512.6%C08G · Condensation polymers1821.9%Other1,85819.5%

Shares are the percentage of the 9,525 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Fuel Cell Membrane Electrode Assembly covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The most-cited foundations and a representative recent filing

Representative Recent Filing
US10593979B22020-03-17

Membrane electrode assembly for a fuel cell, method for preparing the membrane electrode assembly, fuel cell system and vehicle

FORD MOTOR COMPANY

A membrane electrode assembly for a fuel cell, with a membrane, a catalyst layer and a gas diffusion layer. The catalyst layer has a first side facing the membrane and a second side facing the gas diffusion layer. In the catalyst layer an ionomer content increases towards the membrane. The catalyst layer has a first sublayer in which catalyst particles are coated with a first ionomer. The catalyst layer further has a second sublayer with a second ionomer which is closer to the membrane than the first sublayer, with pores present at least between the catalyst particles.US10593979B2 · Ford Motor Company · 2020-03-17

US10593979B2 — patent drawing 1US10593979B2 — patent drawing 2
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Most-cited records in this landscape
#Publication no.Patent titleCitations
1US5879827ACatalyst for membrane electrode assembly and method of making480
2US5272017AMembrane-electrode assemblies for electrochemical cells479
3US5879828AMembrane electrode assembly468
4US5992008ADirect methanol feed fuel cell with reduced catalyst loading393
5US20040038808A1Method of producing membrane electrode assemblies for use in proton exchange membrane and direct methanol fue…344
6US6127058APlanar fuel cell325
7US5316871AMethod of making membrane-electrode assemblies for electrochemical cells and assemblies made thereby313
8US20040197638A1Fuel cell electrode comprising carbon nanotubes286
9US6040077ACatalyst for membrane electrode assembly and method of making283
10US6136412AMicrotextured catalyst transfer substrate262

Citation counts favour older records simply because they have had longer to be cited within this corpus; treat them as a measure of influence on subsequent claim drafting, not as a ranking of current commercial relevance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Fuel Cell Membrane Electrode Assembly covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Four read-outs from the dataset that matter more for strategy than for description.

Filing Trend
446 → single digits
peak year 2021 to 2026

The core architecture is largely staked out

Filing volume peaked in 2021 and has fallen steadily since, including through the 2022 midpoint of 351. That pattern is more consistent with an occupied claim space than with a technology still being defined — new entrants are more likely to compete on manufacturing or materials refinements than on basic MEA architecture.

Based on year-by-year filing counts 2017–2026
Technology Composition
9,520 of 9,525 in H01M
core fuel-cell IPC class

Almost everything sits in one class, with polymer and catalyst chemistry at the edges

The dominant H01M concentration confirms tight scoping to fuel cell/battery claims, while secondary volume in C08J, C08F, C08G and B01J shows where ionomer and catalyst-coating chemistry cross into MEA claims. Those adjacent classes are worth watching for claims that reach back from materials science into MEA function.

IPC subclass distribution across 9,525 records
Assignee Collaboration
205 shared filings
strongest co-assignee pair

Automaker-supplier pairing dwarfs other collaborations

The strongest co-assignee link in this dataset — two Korean automakers filing 205 records together — is roughly seven times the next-largest pairing. Co-filing at this scale usually signals a captive supply relationship rather than open licensing, which matters for anyone trying to negotiate access to that claim family.

Based on 10 identified co-assignee pairs
Recent Momentum
0 in latest year
for several historic top filers

Historic leaders have gone quiet

Several assignees with substantial filing histories — including major Japanese and Korean automakers — show zero filings or sharp year-on-year declines in the most recent year. That does not mean disengagement; it is as likely to reflect publication lag, but it does mean the visible frontier of new claims is currently thinner than the historical base suggests.

Recent-year momentum by assignee
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Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to fuel cell membrane electrode assembly, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Fuel Cell Membrane Electrode Assembly covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the gaps sit

Automakers and materials suppliers dominate the historical filing base; the momentum data shows where that activity has cooled and where it has not.

Automaker Bloc
205 co-filings
Hyundai + Kia

Captive automaker-group filing

The largest co-assignee relationship in the dataset links two group-affiliated Korean automakers, filing jointly at a scale that dwarfs any other pairing. This points to MEA development being run as an integrated vehicle-program activity rather than an open supplier relationship.

Co-assignee pair analysis
Materials Suppliers
1 filing, latest year
Toray, Asahi Glass

Specialist filers still active, at low volume

Materials-focused assignees such as Toray and Asahi Glass continue to register filings in the most recent year, even as several automakers show none. Low absolute volume with continued presence suggests these players are filing selectively around specific ionomer or membrane refinements rather than broad architecture.

Recent-year momentum by assignee
Automaker-Research Pairs
25–28 co-filings
Toyota, Nissan pairings

In-house research arms co-file with parent automakers

Toyota's co-filing with its own central research institute, and Nissan's with a materials supplier, show a second collaboration pattern: automaker plus a dedicated research or materials partner, at meaningfully lower volume than the Hyundai-Kia bloc but still well above the long tail.

Co-assignee pair analysis
🔍
Under-claimed sub-areas worth a closer look
Branches with comparatively thin claim density relative to the core MEA architecture, based on secondary IPC volume
Graded ionomer distribution across catalyst sublayersGas diffusion layer pore-structure tuning for water managementCoating-process control for catalyst-coated membranes (B05D)Condensation-polymer ionomer chemistries (C08G)Electrolytic co-production integration (C25B)
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Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Toray Industries, Inc.1
Asahi Glass Co., Ltd. (AGC Inc.)1-50%
Toyota Motor Corporation0-100%
Nissan Motor Co., Ltd.0
Honda Motor Co., Ltd.0-100%
Hyundai Motor Company0-100%
3M Innovative Properties Company (USA)0
LG Chem, Ltd.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Fuel Cell Membrane Electrode Assembly covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The dataset points to specific next steps depending on whether the goal is freedom-to-operate, licensing, or identifying open claim territory.

Run a freedom-to-operate check on graded ionomer claims

The representative Ford filing and the most-cited foundational patents both center on ionomer distribution within the catalyst layer. Any new sublayer or gradient design should be checked against this cluster specifically, not just the broad MEA category.

Explore this claim cluster in Eureka

Track the automaker-bloc filing pattern

The Hyundai-Kia co-filing relationship is large enough to function as a de facto standard-setting bloc for captive MEA architecture. Monitoring its continuation, or its extension to new sublayer or GDL claims, is a low-cost way to anticipate where enforcement risk will concentrate.

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Investigate the coating-process and polymer-chemistry margins

Secondary IPC volume in B05D, C08G and C08F is thin relative to the H01M core, which is where new entrants without automaker-scale portfolios are more likely to find claimable ground.

Map white space in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Fuel Cell Membrane Electrode Assembly covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about fuel cell MEA patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Fuel Cell Membrane Electrode Assembly covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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