DED AI/ML Process Patent Snapshot 2026
The patent corpus for AI/ML-driven Directed Energy Deposition (DED) processes is at an early, nascent stage with only 2 patent families in scope and filing activity first appearing in 2024. The field is highly concentrated, with all activity split among a small number of first movers across China and India.
A nascent field dominated by first movers
The current corpus covers 2 patent families, with JB Institute of Inventors Association, AECC Commercial Aircraft Engine Co., Ltd., China Mobile Communications Group Co., Ltd., and. China Mobile Group Shanghai each holding 1 patent record in the top-ranked applicant list.
The top five filers account for 100% of the ranked applicants visible in this query’ combined total, indicating complete concentration — there is no meaningful second tier. The field has not yet attracted diversified corporate participation.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | JB Institute of Inventors Association | 1 | |
| 2 | AECC Commercial Aircraft Engine Co., Ltd. | 1 | |
| 3 | China Mobile Communications Group Co., Ltd. | 1 | |
| 4 | China Mobile Group Shanghai Co., Ltd. | 1 |
The presence of an aerospace engine manufacturer (AECC) and a major telecommunications group (China Mobile) alongside an independent inventors’ institute signals that early entrants are exploring AI/ML-guided DED from heterogeneous angles, rather than converging on a single application domain.
Because patent applications typically publish 12–18 months after filing, the 2025 and 2026 figures are likely under-counted; the true scope of recent activity may be broader than the current corpus reflects. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity emerged only in 2024 across two technology branches
The filing trend and technology composition charts together reveal a field that is barely past inception, with the first recorded filings appearing in 2024 and the technology mix anchored in AI/ML computing and electric digital data processing.
Annual filing trend
No filings were recorded from 2017 through 2023; activity first appears in 2024 and 2025 with one filing each. The 2025 and 2026 data points should be treated as incomplete due to publication lag, so no trend can yet be extrapolated.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G06N (Computing based on AI models) is the visible IPC class, present in both records. B33Y (Additive manufacturing / 3D printing), A61B (Diagnosis and surgery), and G06F (Electric digital data processing) each appear in one record, indicating that early filings span both manufacturing and medical-device applications of AI-assisted DED.
↗ Hover for values · click a bar to ask EurekaHighly 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.
An innovative method for real-time performance mon…
The present invention relates to an innovative Method for Real-Time Performance Monitoring of DED Systems’ Latest Deposition Nozzle Solution. The invention comprises capturing real-time data from the deposition nozzle using a multisensor framework, including optical cameras, infrared (IR) sensors, acoustic sensors, and thermal imaging devices, Preprocessing… (excerpt from the patent abstract)
Open this patent in Eureka →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. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
JB Institute of Inventors Association
Holds 1 patent record with a focus spanning A61B (Diagnosis and surgery), B33Y (Additive manufacturing / 3D printing), and G06N (Computing based on AI models) — a multi-domain filing that signals an exploratory, invention-house approach. Trajectory is new entrant with no prior-period baseline.
patent records: 1AECC Commercial Aircraft Engine Co., Ltd.
Holds 1 patent record with technology focus concentrated in G06F (Electric digital data processing) sub-classes, including simulation and design optimization. The co-filing with China Mobile points toward a connected, data-driven DED workflow for aerospace components. Trajectory is new entrant with no prior-period baseline.
patent records: 1Frequently asked questions
The current corpus covers 2 patent families. This is a very small corpus reflecting the early-inception status of the field, with first filings appearing in 2024.
The ranked applicants are JB Institute of Inventors Association, AECC Commercial Aircraft Engine Co., Ltd., China Mobile Communications Group Co., Ltd., and China Mobile Group Shanghai Co., Ltd., each holding 1 patent record. No applicant has yet established a volume lead.
Filing activity has been recorded in China and India only. Major jurisdictions including the United States, Europe, Japan, and Korea show no recorded filings in this corpus.
G06N (Computing based on AI models) appears across both records and is the visible IPC class. B33Y (Additive manufacturing), A61B (Diagnosis and surgery), and G06F (Electric digital data processing) each appear in one record.
Yes. AECC Commercial Aircraft Engine Co., Ltd. co-filed with China Mobile Communications Group Co., Ltd. and its Shanghai subsidiary. This is the only observed collaboration and represents a cross-sector pairing of aerospace manufacturing and telecommunications.
No filings were recorded from 2017 through 2023. Activity first appears in 2024 and 2025 with one filing each year. Because of publication lag, 2025 and 2026 data are likely incomplete. The field is at an incipient stage with no established lifecycle classification yet available.
Built on Patsnap Open Platform
This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.
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.