Advanced Modeling & Simulation Patents: Top Companies & Trends 2026
- 30.3% of all 314 records sit with just five assignees, while a long tail of single- and few-filing entrants files the remainder.
- Filings grew 109% from 22 in 2021 to 46 in 2024, the last year the dataset treats as complete.
- G06F and G06N cover roughly two-thirds of records between them, but bioinformatics, imaging and network-transmission classes each hold single-digit shares — signs of room still open beyond the core compute stack.
Filing growth compares 2021 (22 records) with 2024 (46) — 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 314 records in scope (CR5), not by the ranked leaders only.
What the advanced modeling and simulation patent record actually shows
The search underlying this page combines advanced modeling and simulation language with terms tied to the machine-learning pipeline that increasingly powers it: training datasets, model parameters, feature vectors, model inference, cache coherence and compute kernels. That pairing captures a field in transition — simulation and modeling filings that used to sit purely in numerical methods and hardware are now claimed alongside AI training and inference infrastructure. The 314 records in scope span 2015 through the 2026 cut-off, with the most recent year necessarily partial because publication lags filing by roughly eighteen months.
Reading the dataset this way surfaces three separate questions: who has staked out defensible claim territory, which technical subclasses are dense enough that a new filer should expect prior art, and which adjacent branches remain thin enough to be worth a first move. The sections below work through each in turn.
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Filing trend and technology composition
Two views of the same 314-record dataset: how filing volume moved year over year, and how records distribute across IPC subclasses. Because a single record can carry several IPC classes, the class shares below sum to more than the record total — that is expected and does not indicate double-counting.
Filing trend, 2017-2026
Filings rose from 22 in 2017 to a peak of 56 in 2025, with 2024's 46 filings marking the last year the dataset treats as complete. The 2021-to-2024 span alone shows +109% growth (22 to 46); 2025 and 2026 figures will continue to fill in as publication catches up with filing.
Technology composition by IPC subclass
G06F (electric digital data processing) leads at 36.6% of the 314 records, with G06N (AI-based computing) close behind at 29.6%. G06Q, H04N, G16B, G06T, H04L and A61B each sit in the high single to mid double digits, showing the field's claims spread across business applications, video, bioinformatics, imaging, transmission and medical diagnosis rather than concentrating in one adjacent domain.
Shares are the percentage of the 314 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Advanced Modeling & Simulation Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about advanced modeling & simulation patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records in this dataset
AI-guided synthetic biology development platform, systems, and methods (WO2025255010A1)
An AI-guided synthetic biology development platform, systems, and methods substantially as shown and described.Filed by X Development LLC, published December 2025 — among the most recent records in scope.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US5983251A | Method and apparatus for data analysis | 181 |
| 2 | US20180060395A1 | Selecting interruptible resources for query execution | 131 |
| 3 | US20210174257A1 | Federated machine-Learning platform leveraging engineered features based on statistical tests | 110 |
| 4 | US20240348663A1 | Ai-enhanced simulation and modeling experimentation and control | 102 |
| 5 | US20250175456A1 | Ai-controlled sensor network for threat mapping and characterization and risk adjusted response | 95 |
| 6 | US20110288831A1 | Method and system for checkpointing during simulations | 84 |
| 7 | US7039475B2 | System and method of adaptive control of processes with varying dynamics | 84 |
| 8 | US20250259041A1 | Ai agent decision platform with deontic reasoning | 62 |
| 9 | US20180321325A1 | Embedded Sensors for In-Situ Cell Monitoring of Batteries | 61 |
| 10 | US20160284029A1 | Method, System, and Apparatus to Couple Physical and Financial Risks and Risk Measures to Mitigate Risk of Ca… | 59 |
Citation counts favor older filings that have had more time to accumulate references within the searched corpus — read them as a signal of influence on the field, not of current technical importance.
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Three figures from this dataset matter more than the raw counts: how tightly the leaders hold the field, how citation weight is distributed, and how filing volume has actually moved.
The top of the field is genuinely concentrated
Five assignees account for 95 of the 314 records in scope, and the leader alone holds 26. That is a meaningfully tighter grip than a typical long-tail patent field, meaning a new entrant filing in the core compute-and-inference claim space should expect to run into existing coverage from a small number of holders rather than a diffuse crowd.
Volume nearly doubled over three complete years
Filings moved from 22 in 2021 to 46 in 2024 — the last year the dataset can treat as complete given publication lag. That trajectory reflects the same period AI training and inference language began appearing more often alongside classic modeling and simulation claims, not a plateau or slowdown.
Influence is concentrated in a handful of older filings
The most-cited record in scope, a data-analysis method patent, carries 181 citations — far ahead of the next tier. Because citation counts inside a searched corpus reward age, treat this as a marker of which foundational claims later filers had to design around, not as a ranking of present-day importance.
Claims spread wider than the core compute stack
Beyond G06F and G06N, subclasses covering bioinformatics, video, imaging, transmission and medical diagnosis each hold single-digit-to-low-teens shares of the 314 records. That spread signals the field is being claimed from multiple application angles rather than settling into one dominant niche.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to advanced modeling & simulation patent landscape, with the prior art for and against each one.
Who holds the ground, and where the momentum has stalled
The assignee ranking covers 100 companies counted in records — the full set the data endpoint returns, not a curated top-50 or top-100 list. Momentum data for the leading names shows a field where recent-year activity has gone quiet even among established filers, which is consistent with publication lag rather than an actual drop-off.
One assignee sits well ahead of the field
The leading assignee holds 26 records against a fifth-place figure of 13 and a tenth-place figure of 9 — a steep drop-off that marks this as a field with a clear leader rather than a flat distribution among the top names.
The top 10 control under half the field
Even with a clear leader, the top 10 assignees combined hold 46.5% of the 314 records in scope — meaning more than half the dataset is filed by companies outside that group, a wider base of activity than the leader's individual share suggests.
Recent-year activity has gone quiet across leading names
Several of the assignees with meaningful historical filing counts show zero filings in the latest tracked year, including drops described as -100% year over year. Given the roughly 18-month publication lag, this is more likely an artefact of recent filings still working through publication than a genuine exit from the field.
Collaboration is rare and thin where it exists
Only four co-assignee pairs appear in the dataset, and the strongest of them shares just two records. Advanced modeling and simulation patenting here is overwhelmingly a single-assignee activity rather than a joint-development one.
| Assignee | Recent year | YoY |
|---|---|---|
| X Development LLC | 0 | -100% |
| Acoustic Knowledge LLC | 0 | — |
| CEREBRI AI INC | 0 | — |
| ExxonMobil Upstream Research Company | 0 | — |
| Accenture Global Services Ltd | 0 | — |
| Qomplx Inc | 0 | -100% |
| Integrated Device Technology Inc | 0 | — |
| Aspentech Corporation | 0 | — |
Where to take this next
The dataset points to specific next steps depending on whether the goal is clearing a filing, tracking a competitor, or scoping a new claim.
Map a freedom-to-operate position against the top 5
With 30.3% of records held by five assignees, a freedom-to-operate check should start with those holders' specific claim language before broadening to the long tail.
Explore assignee claims in EurekaWatch the 2024-2025 filing surge as it publishes
The 2021-2024 growth of 109% has likely continued into 2025 and 2026 filings not yet fully published; tracking new publications as they land will sharpen the current picture.
Set up filing alerts in EurekaScope claims in the under-claimed sub-areas
Cache-coherence protocols for distributed inference and bioinformatics-specific compute kernels show comparatively thin filing density relative to the core G06F/G06N classes.
Run a white-space search in EurekaFrequently asked questions
The dataset of 314 records shows a clear leader holding 26 records, well ahead of the fifth-place assignee at 13 and tenth place at 9. The top 5 assignees combined hold 30.3% of all 314 records, and the top 10 combined hold 46.5%. That leaves more than half the field filed by assignees outside the top 10, so a competitive review should not stop at the largest names alone.
Filings grew from 22 in 2021 to 46 in 2024, a 109% increase over that three-year span, and 2024 is the most recent year the dataset can treat as complete. Filing counts in 2025 and 2026 appear lower, but that reflects publication lag of roughly 18 months rather than an actual slowdown — recent filings are still working through the publication pipeline. Treat any apparent 2025-2026 dip as incomplete data, not a real trend.
G06F (electric digital data processing) and G06N (AI-based computing) are the two largest IPC subclasses, covering 36.6% and 29.6% of the 314 records respectively. Business/commerce data processing (G06Q), video (H04N), bioinformatics (G16B), image processing (G06T), digital transmission (H04L) and medical diagnosis (A61B) each hold smaller but still notable shares. Because records can carry multiple IPC classes, these figures overlap rather than summing to 100%.
The subclasses outside the dominant G06F/G06N pair — bioinformatics compute kernels, cache-coherence handling for distributed inference, and sensor-network threat modeling with AI control — carry single-digit shares of the 314 records, suggesting lower filing density than the core compute stack. Co-assignee collaboration is also rare, with only four identified pairs in the dataset, which points to limited joint-development activity as another underexplored angle. These are starting points for a freedom-to-operate or first-filer analysis, not guarantees of an open field.
WO2025255010A1, assigned to X Development LLC and published in December 2025, describes an AI-guided synthetic biology development platform, systems, and methods. As one of the most recent filings in this dataset, it illustrates how simulation and modeling claims are increasingly being extended into AI-guided platform architectures rather than staying confined to classic numerical methods. Whether it blocks a specific new filing depends on its granted claim scope, which should be checked directly rather than inferred from the abstract alone.
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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.