Digital Twin Synchronization Patents: Who Leads, Where the Gaps Are 2026
Filing growth compares 2021 (5 records) with 2024 (9) — 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 210 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This dataset tracks 210 published records matching real-time twin synchronization and related digital twin, cyber-physical system, and virtual asset claims, filed between 2015 and mid-2026. The search combines synchronization-specific terms with the broader digital twin vocabulary, so it captures the mechanics of keeping a virtual asset current with its physical counterpart rather than digital twin modelling in general. Patent families, not raw document counts, are used for the assignee ranking, which neutralises continuation filings and multi-jurisdiction duplicates.
Filing activity is concentrated in India by receiving office, with the United States a distant second and China, Europe and South Korea contributing smaller shares. That geographic mix, combined with a leader holding 35 records against a long tail of academic and single-filing entrants, suggests the field is still being staked out rather than settled.
Filing trends and technology composition
The two views below sit on different denominators: the trend line counts records by filing year, while the IPC breakdown counts records against every class they carry, so those shares sum to more than 100%.
Filing trend, 2017-2026
Recorded filings rose from zero in 2017 to a peak of 86 in 2026, though the most recent one to two years are understated because publication typically lags filing by around 18 months. The 2021-to-2024 span, which can be read as complete, shows filings rising from 5 to 9 — an 80% increase — a clearer signal of underlying momentum than the raw 2026 peak.
IPC subclass composition
G06N (AI-based computing) and G06F (electric digital data processing) each appear on close to four in ten records, with H04L (digital information transmission) not far behind at 37.1%. G05B, the classic control-and-regulation class, sits at 28.1% — below the software-adjacent classes — while G16H healthcare informatics, G06T image processing and A61B diagnosis/surgery each cover under 10% of records, marking them as smaller but present adjacent branches.
Shares are the percentage of the 210 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Digital Twins — Real-Time Twin Synchronization Patent Landscape with Eureka
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Automated model based guided digital twin synchronization
Filed by Siemens Corporation and published 2026-02-26, this record describes visual sensors acquiring raw data from a physical 3D scene, a database holding a 3D model of that scene, and machine-learning logic that ingests the visual data into a common structured representation to generate and maintain an as-built digital twin, then compares it against the reference model.Abstract condensed from the original filing for readability.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20210200807A1 | Building data platform with a graph change feed | 47 |
| 2 | US20210200169A1 | Building data platform with graph based capabilities | 36 |
| 3 | US20210200764A1 | Building data platform with event based graph queries | 31 |
| 4 | US11150617B2 | Building data platform with event enrichment with contextual information | 30 |
| 5 | US11356292B2 | Building data platform with graph based capabilities | 29 |
| 6 | US20210200164A1 | Building data platform with edge based event enrichment | 24 |
| 7 | US20210200173A1 | Building data platform with event enrichment with contextual information | 24 |
| 8 | US12040911B2 | Building data platform with a graph change feed | 23 |
| 9 | US11361123B2 | Building data platform with event enrichment with contextual information | 22 |
| 10 | US20210200912A1 | Building data platform with graph based policies | 18 |
Citation counts reflect influence within the searched corpus and favour older records; they are not a measure of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three patterns stand out once the records are broken down by assignee, class and geography.
Leadership is real but not exclusionary
A single assignee holds 35 records, well ahead of the field, and the top five together account for 31.0% of all 210 records in scope. That leaves close to 70% of filings spread across a long tail — including several academic institutions filing in low single digits — which is a workable environment for a new entrant with a distinct technical angle.
Growth is recent and still building
Filings rose from 5 in 2021 to 9 in 2024, an 80% increase over three years. Because publication lags filing by roughly 18 months, the apparent 2026 peak of 86 records overstates recent activity relative to what is still working through the pipeline, but the underlying trend through 2024 is genuinely upward.
Claims skew computational, not mechanical
G06N and G06F together cover close to four in ten records each, ahead of G05B control-systems claims at 28.1%. That ordering indicates most synchronization claims are being written around the software and model layer — data ingestion, AI-driven state comparison — rather than the control-loop hardware layer.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to digital twins — real-time twin synchronization patent landscape, with the prior art for and against each one.
Where to take this analysis
The dataset points to a field still forming around software-layer synchronization claims, with smaller pockets in healthcare and imaging left comparatively open.
Map claim scope against the leader's building-data portfolio
The top-ranked assignee's most-cited records concentrate on graph-based event capture for building data; understanding exactly how those claims are drawn is the first step before filing anything adjacent.
Explore assignee portfolios in EurekaTrack the academic filers' trajectory
Several university-affiliated assignees are growing fast off small bases; watching whether these convert into licensing activity or commercial spinouts will indicate where the field moves next.
Set up momentum tracking in EurekaTest claim language in the under-claimed branches
Healthcare informatics, imaging and control-hardware synchronization each carry a smaller share of records than the core AI/data-processing cluster, which is where a narrowly drawn first claim has more room to stand.
Draft and search claims in EurekaCommon questions on this landscape
One assignee leads the ranked list with 35 records out of 210 in scope, putting it well ahead of the next-ranked entities. The top five assignees combined account for 31.0% of all records, and the top ten account for 41.4%, which means over half the field sits outside the leading group. The leader's most-cited filings concentrate on building-data platforms with graph-based event capture, which is a useful starting point for understanding what is already well-claimed.
Based on the years that can be treated as complete, it is growing: recorded filings rose from 5 in 2021 to 9 in 2024, an 80% increase over three years. The 2025 and 2026 figures look lower or flat only because publication typically lags filing by around 18 months, so recent activity has not fully surfaced yet. Reading the trend as slowing based on the last one to two years would be a misreading of the publication lag, not the actual filing rate.
AI-based computing (G06N) and general electric data processing (G06F) each appear on close to four in ten of the 210 records, followed closely by digital information transmission (H04L) at 37.1%. Classic control-and-regulation claims (G05B) sit somewhat lower at 28.1% of records, meaning software and model-layer synchronization outweighs control-hardware synchronization in current filings. Because a single record can carry multiple IPC classes, these shares add up to more than 100% and should not be read as mutually exclusive categories.
The smaller IPC classes point to it directly: healthcare informatics (G16H) covers 8.1% of records, image data processing (G06T) covers 7.1%, and diagnosis/surgery (A61B) covers 6.2% — all well below the roughly 30-39% share held by the core AI, data-processing and transmission classes. That gap suggests synchronization claims specific to healthcare assets, image-based as-built comparison, and surgical or diagnostic twin state matching are comparatively under-claimed relative to the industrial and building-systems core of the field.
India leads by receiving office with 103 filings, more than the United States at 56, and well ahead of China at 18, the European Patent Office at 11, WIPO/PCT filings at 10, and South Korea at 6. This distribution is heavily weighted toward India, which is notable given that several of the fastest-growing recent assignees are Indian academic institutions. Filers targeting broad enforceability should note the relatively thin EPO and South Korean coverage compared with the India and US totals.
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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.