Wire Arc Additive Manufacturing Scale-Up Patent Landscape 2026
- Still a small, young field. Only 17 families match this scale-up-specific search, with filings at zero in 2017 and growth still accelerating through the 2022 midpoint.
- Welding IPC dominates, additive-manufacturing codes trail. Every record sits in B23K (welding/soldering/brazing); only 10 of 17 also carry a B33Y additive-manufacturing code, showing scale-up work is still filed as welding process innovation, not printing innovation.
- India files more than the US in this niche. India receives 11 of the tracked filings against 6 for the United States, an unusual tilt for a production-scale-up topic that is often assumed to be US- or China-led.
Filing growth compares 2021 (2 records) with 2024 (3) — 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 17 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This dataset isolates patent families that combine wire arc additive manufacturing (WAAM) terminology with scale-up language — high deposition rate, large-format WAAM, multi-robot WAAM and production scale-up — inside the welding, powder-metallurgy and additive-manufacturing IPC classes that actually cover arc-based metal deposition equipment and process control. It is a narrow, deliberately scale-up-specific slice of the broader WAAM literature, not a general WAAM search.
With 17 families total, every ranking and trend line in this report should be read as an early map of a forming niche rather than a mature, settled field. Publication lags filing by roughly 18 months, so the 2025–2026 filing counts shown here will rise as later-filed applications publish.
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Filing trend and technology mix
Two views of the same 17-family dataset: how filing activity has moved year over year, and which IPC subclasses the claims actually sit in.
Filing trend, 2017–2026
Filings start at zero in 2017, peak so far in 2020 at 4, sit at 2 by the 2022 midpoint, and reach 3 in 2026 on a partial year — consistent with an accelerating but still low-volume niche rather than a plateaued one.
IPC composition
B23K (welding, soldering and brazing) covers all 17 records, confirming that WAAM scale-up is prosecuted primarily as an arc-welding process claim. B33Y (additive manufacturing) appears in 10 of 17, B22F (powder metallurgy) in only 3, and control/imaging codes (G05B, G06T) and laser codes (H01S) each appear twice — evidence that closed-loop control and in-process monitoring for scale-up are still minority filing strategies.
Shares are the percentage of the 17 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
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Try EurekaMost-cited records in this dataset
Wire and arc additive manufacturing method for titanium alloy
The present disclosure provides a wire and arc additive manufacturing (WAAM) method for a titanium alloy. The method includes the following steps: step 1: performing a WAAM process assisted by cooling and rolling; step 2: milling side and top surfaces of an additive part; step 3: performing, by friction stir processing (FSP) equipment, an FSP process on the additive part, and applying cooling and rolling to a side wall of the additive part through a cooling and rolling device during the FSP process; step 4: finish-milling the top surface of the additive part for a WAAM process in the next step; and step 5: repeating the above steps cyclically until final forming of the part is finished.Abstract excerpted from the published application.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20210402506A1 | Wire and arc additive manufacturing method for magnesium alloy | 14 |
| 2 | US20210402507A1 | Wire and arc additive manufacturing method for titanium alloy | 12 |
| 3 | US20230158595A1 | Prediction and control of product shape quality in wire and arc additive manufacturing through machine learni… | 7 |
| 4 | US11945042B2 | Wire and arc additive manufacturing method for magnesium alloy | 1 |
Citation counts favour older filings inside this corpus and should be read as a signal of influence on later filers, not as a marker of current commercial importance.
Publication numbers are shown where the record carries one (4 of 4 rows); clicking a row searches Eureka by that number.
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Browse MCP servers →What the citation and filing pattern signals
The most-cited records cluster around alloy-specific WAAM methods and one machine-learning quality-control filing, pointing to where later filers are building on prior claims.
Magnesium and titanium WAAM methods anchor the field
The two most-cited records both cover alloy-specific WAAM methods — magnesium and titanium — rather than generic arc-deposition claims. Later filers appear to be building on process recipes tuned to specific alloys rather than on machine-agnostic scale-up claims.
Shape-quality prediction is the control-side entry point
A single machine-learning shape-quality prediction and control filing sits well above the rest of the control-related literature, suggesting closed-loop quality prediction for WAAM is still an open, lightly contested sub-area rather than a crowded one.
Scale-up claims are drafted as welding process, not printing process
Every record in this dataset is classified under B23K, and only 10 of 17 also carry a B33Y additive-manufacturing code. Drafting scale-up innovation as a welding process claim, rather than an additive-manufacturing claim, looks like a deliberate prosecution choice worth tracking when searching adjacent filings.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to wire arc additive manufacturing scale-up and mass production, with the prior art for and against each one.
Who is filing, and where the activity is moving
With only 17 families total, no single assignee has built a deep portfolio yet — the recent-year momentum data shows most active filers with a single filing in the latest year, and several established names now dormant.
Indian Institute of Technology (ISM) Dhanbad
One of two assignees with an active filing in the most recent year, alongside Federal Institute of Science & Technology — both academic or applied-research entities rather than industrial manufacturers.
Northeastern University and peer institutions cooled off
Northeastern University, IIT Guwahati, Bombay Institute of Technology and the University of Southern California all show zero filings in the latest tracked year despite earlier activity, consistent with a field still in early exploratory bursts rather than sustained programme investment.
India outpaces the US as a filing destination
India receives 11 of the tracked filings against 6 for the United States — a strong tilt toward Indian institutes as both inventors and filers, worth factoring into any freedom-to-operate check focused on Indian manufacturing deployment.
| Assignee | Recent year | YoY |
|---|---|---|
| INDIAN INST OF TECH INDIAN SCHOOL OF MINES DHANBAD | 1 | — |
| FEDERAL INST OF SCI & TECH | 1 | — |
| Northeastern University (China) | 0 | — |
| Indian Institute of Technology Guwahati | 0 | — |
| Bombay Institute of Technology | 0 | — |
| University of Southern California | 0 | — |
| SATHISH KUMAR PARIMI | 0 | -100% |
| NAT INST OF TECH CALICUT AN INDIAN INST | 0 | -100% |
Where to take this analysis
This landscape flags the filing pattern; deeper freedom-to-operate and design-around work needs claim-level review.
Run a claim-level novelty check
Cross-check a specific scale-up mechanism — multi-robot coordination, in-process ML quality control, or thermal management — against the 17 families here before drafting.
Search this space in Eureka →Track the India filing tilt
With 11 of 17 filings routed through India, monitor Indian institute output specifically rather than relying on US- or China-centric alerts.
Set up monitoring in Eureka →Frequently asked questions
This specific scale-up-focused search returns 17 patent families published between 2015 and the 2026 cut-off. That is a small number compared to the broader WAAM literature because the search string requires scale-up language such as high deposition rate, large-format WAAM, multi-robot WAAM or production scale-up alongside the core WAAM terms. Readers should treat this as a niche within WAAM patenting, not the full picture of arc-based additive manufacturing IP.
Yes, on the evidence available filing activity looks to be accelerating rather than plateauing: it starts at zero in 2017, peaks so far in 2020 at 4, sits at 2 at the 2022 midpoint, and reaches 3 in the partial 2026 year. Because publication lags filing by roughly 18 months, the most recent one to two years will always look understated in any patent trend, so the true 2025–2026 filing volume is likely higher than currently shown. The overall shape still points to a young, growing niche rather than a mature or declining one.
Every record in this dataset carries a B23K welding, soldering and brazing classification, while only 10 of 17 also carry a B33Y additive-manufacturing code. This reflects how WAAM works mechanically — it deposits metal using an arc-welding torch and wire feedstock — so patent examiners and drafters often frame the invention as a welding process improvement rather than a printing process. Anyone searching this space should query both welding and additive-manufacturing IPC classes to avoid missing relevant prior art.
By receiving office, India leads with 11 filings against 6 for the United States in this dataset, which is a notable tilt given the field is often assumed to be led by China, the US or Europe. This suggests Indian technical institutes are actively filing in the WAAM scale-up niche, particularly around academic and applied-research programmes. It does not necessarily indicate commercial deployment volume, since receiving office reflects where an application is filed, not where the technology is manufactured or used.
Based on the thin IPC representation outside core welding classes, areas such as multi-robot WAAM path coordination, in-process machine-learning shape-quality control, large-format thermal management, and friction-stir post-processing of WAAM parts all show light filing density relative to the core arc-deposition claims. Only two records each carry G05B control or G06T imaging classifications, and only two carry H01S laser codes, suggesting closed-loop control and sensor-fusion approaches for WAAM scale-up remain comparatively under-claimed. A proper freedom-to-operate search should still confirm this at the claim level before treating any of these as genuinely open.
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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.