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Run your analysis now →Filing growth compares 2021 (16 records) with 2024 (26) — 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 136 records in scope (CR5), not by the ranked leaders only.
This landscape tracks patent families at the intersection of magnesium alloy composition and additive manufacturing processes: laser powder bed fusion, wire-arc AM, and 3D-printed magnesium parts claimed alongside alloy or wrought-magnesium subject matter. The dataset spans 136 published patent families filed between 2015 and mid-2026, indexed against IPC classes covering additive manufacturing hardware, alloy composition and non-ferrous metal treatment.
Because publication typically lags filing by around 18 months, the 2025-2026 figures in this dataset are almost certainly undercounts of actual filing activity; treat the most recent year as a floor, not a ceiling.
Pick a task. Every answer cites the patents behind it.
Two views of the same 136 families: how filing volume has moved year over year, and which IPC subclasses carry the claim density.
Filings rose from 2 in 2017 to a peak of 29 in 2025. The 2022 midpoint of 19 sits well below a straight-line trajectory to the peak, which points to a burst of filing activity concentrated in the last few years rather than steady compounding growth. The partial 2026 count of 4 should be read as an artefact of publication lag, not a real slowdown yet.
B33Y (additive manufacturing processes, 115 records) and C22C (alloys, 98 records) are the two largest subclasses, confirming that most filings pair a specific AM process with alloy composition claims rather than treating either in isolation. B22F (powder metallurgy, 89) and C22F (non-ferrous treatment, 48) form a secondary cluster around powder feedstock and post-process heat treatment. Smaller counts in A61L (sterilising, 25), B23K (welding, 22), B21C (extrusion, 12) and C23C (coating, 10) mark biomedical and finishing applications as adjacent, lower-density areas.
Shares are the percentage of the 136 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about magnesium alloy additive manufacturing and every answer comes back with the patent numbers behind it.
Try EurekaA method for preparing a magnesium alloy tissue engineering scaffold with a smooth inner surface by laser powder bed fusion (LPBF) is provided. The method includes: step S1: scanning a porous scaffold, and selecting the densest filling scan parameters, where the scanning includes a single-pass contour scan and a single-pass filling scan; step S2: optimizing a contour scan strategy according to the densest filling scan parameters; step S3: acquiring a corresponding melt pool dimension, and adjusting a spot compensation value based on the optimized contour scan strategy; and step S4: preparing a magnesium alloy tissue engineering scaffold based on the contour scan strategy and the adjusted spot compensation.Filed by Shanghai Jiao Tong University, published 2026-02-12.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | CN110983135A | 一种可快速时效强化的高强高塑Mg-Ga-Li系镁合金及其制备方法 | 25 |
| 2 | CN112404453A | 一种超细晶材料的增材制造方法 | 21 |
| 3 | US20210402506A1 | Wire and arc additive manufacturing method for magnesium alloy | 14 |
| 4 | US20220016315A1 | Biodegradeable implant comprising coated metal alloy product | 14 |
| 5 | CN114346368A | 一种含硅镁合金电弧增材制造方法 | 11 |
| 6 | CN116618792A | Mg-Y-Nd-Zr稀土镁合金结构件的电弧增材制造方法 | 10 |
| 7 | CN107974595A | 一种基于激光3D打印成形的高性能镁基复合材料及其制备方法 | 10 |
| 8 | CN113634764A | 镁合金表面激光增材制造不锈钢基复合涂层的方法 | 9 |
| 9 | CN113210909A | 一种改善镁合金CMT增材制造熔敷层表面性能的方法 | 9 |
| 10 | CN117626072A | 一种耐热高强铝合金丝材及其电弧增材制造工艺 | 8 |
Citation counts favour older records simply because they have had more time to be cited; read them as a signal of influence within this corpus, not as a ranking of current commercial importance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three findings that shape where a new filing would sit relative to existing claims.
The jump from a 2022 midpoint of 19 filings to a 2025 peak of 29 looks like acceleration, but the partial 2026 count of 4 combined with publication lag means the true 2025-2026 trajectory is still forming. Read the peak as the latest confirmed data point, not proof of continued growth.
105 of the 136 tracked records were filed at the Chinese receiving office, versus 11 in the US and 8 at the EPO. A freedom-to-operate review that skips Chinese-language prior art will miss most of the relevant claim history in this field.
B33Y (additive manufacturing) appears in 115 records and C22C (alloys) in 98, the two largest subclasses in the dataset. Most filers are claiming a specific process step together with an alloy composition, so a new filing that only addresses one side of that pair is filing into a gap rather than a novel combination.
Jilin University dropped 80% year-on-year to 1 filing in the latest year, while North University of China and Shanghai Jiao Tong University each fell to 0, a 100% decline. That does not necessarily mean disengagement — it may reflect publication lag on 2025-2026 applications — but it does mean the visible leaderboard understates who is actually active right now.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to magnesium alloy additive manufacturing, with the prior art for and against each one.
The assignee base is led by Chinese universities and research institutes, with co-filing pairs suggesting joint industry-academia projects rather than a single dominant corporate filer.
Only 7 co-assignee pairs appear across 136 families. The strongest, Shanghai Jiao Tong University with Shanghai Institute of Precision Mechanics, Chinese Academy of Sciences, has just 2 joint filings, which indicates most work here is filed by a single institution rather than through sustained joint ventures.
Chongqing University, Nanjing University of Aeronautics and Astronautics and BIORETEC all show 0 filings in the latest tracked year. Combined with publication lag, this makes it hard to tell whether these filers have stopped work or simply have applications still in the pipeline.
A company benchmarking freedom-to-operate in the US or Europe is working against a much thinner set of granted claims than a company operating in China, where the bulk of the prior art sits.
| Assignee | Recent year | YoY |
|---|---|---|
| Jilin University | 1 | -80% |
| BIORETEC | 0 | — |
| North University of China | 0 | -100% |
| Shanghai Jiao Tong University | 0 | -100% |
| Chongqing University | 0 | — |
| Nanjing University of Aeronautics and Astronautics | 0 | — |
| Beijing AK Medical Co., Ltd. | 0 | — |
| Tianjin University | 0 | — |
The dataset points to open questions that a static report cannot answer on its own.
Publication lag means the last 12-18 months of filings are still arriving. Re-running the trend query periodically will reveal whether the 2025 peak holds or whether it was a temporary spike.
Explore filing trends in EurekaCoating, extrusion and welding sub-areas show low counts, but low counts can mean either open space or simply that searches under adjacent IPC codes were not captured here.
Run a deeper claim search in EurekaThe assignee base is led by Chinese research universities and institutes rather than a single dominant corporation. Filers such as Shanghai Jiao Tong University, Jilin University and North University of China appear repeatedly across the 136 tracked families, but recent-year momentum has slowed sharply for several of them, with year-on-year drops of 80-100% in the latest tracked year. This suggests a fragmented, academically-driven filing base rather than a concentrated corporate lead.
Of the 136 records in this dataset, 105 were filed at the Chinese receiving office, compared with 11 in the US and 8 at the EPO. This reflects both the concentration of magnesium alloy AM research at Chinese universities and China's broader pattern of high domestic filing volume in advanced manufacturing fields. Anyone assessing freedom to operate globally should treat Chinese-language prior art as the primary body of claims to clear, not a secondary check.
Filings rose from 2 in 2017 to a peak of 29 in 2025, but the 2022 midpoint of 19 shows growth was uneven rather than steadily compounding. The partial 2026 figure of 4 filings looks like a decline, but publication typically lags filing by around 18 months, so recent-year counts are likely undercounted. The honest read is that the field grew through the early 2020s and its current trajectory is not yet clear from the data.
LPBF and other additive manufacturing processes fall under IPC class B33Y, which covers 115 of the 136 records in this dataset, making it the single largest technology cluster. Most of these filings pair a specific AM process step with an alloy composition claim, as seen in the representative filing US20260042148A1, which claims a scan-strategy method for smooth-surface magnesium scaffolds. This means process claims are rarely filed in isolation from composition claims in this space.
Filing density is comparatively low in coating and surface deposition (C23C, 10 records), metal extrusion and drawing (B21C, 12 records), and welding or brazing of AM parts (B23K, 22 records), compared with the dense core of B33Y and C22C claims. These lower counts do not guarantee open claim space, since they may reflect narrower search scope rather than genuine absence of prior art, but they are reasonable areas to investigate further before filing in the crowded core.
Citation counts in this corpus, such as the 25 citations on CN110983135A or 21 on CN112404453A, reflect how long a record has been available to be cited more than how commercially important it is today. Older filings accumulate citations simply by being in the corpus longer, so a highly-cited 2020 filing is not necessarily more relevant than a lightly-cited 2025 filing. Use citation rank as a signal of historical influence within this search, not as a current importance score.
Go past this page: query the whole magnesium alloy additive manufacturing corpus yourself, in your own scope.
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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.