https://www.patsnap.com/resources/blog/rd-blog/digital-twins-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Industrial Automation & Control
Digital Twins Patents: Who Files, Where Claims Concentrate
  • Filing plateaued, not collapsed. volume moved from 350 in 2021 to 347 in 2024, essentially flat (-1%) after a 2023 peak of 520 — read later years with caution since publication lags filing by about 18 months.
  • The top of the field is crowded but not locked up. the five largest filers hold 30.9% of all 2,724 records in scope, and the next five add another 17.3 points to reach 48.2% — leaving over half the field to a long tail.
  • Software and control classes dominate, robotics barely registers. G06F and G05B each cover roughly a third of records, while B25J (manipulators & robots) sits at just 3.3% — a gap worth checking before assuming digital twins are a hardware story.
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2,724
Published Records
31%
Top-5 Share of All Records
-1%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (350 records) with 2024 (347) — 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 2,724 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Field Overview

What the digital twin patent record actually covers

The dataset in scope spans 2,724 published records filed against digital twin models, virtual asset models and related equipment-state or failure-prediction claims, searched jointly with control-network and production-data terms. That combination pulls in filings from process automation vendors, industrial software firms and telecom infrastructure players alike, which is why the technology mix leans toward data processing and control classes rather than pure robotics or sensing hardware. Family-level counting is used throughout so continuation filings and multi-jurisdiction copies of the same invention are not double-counted.

Filing activity starts thin in 2017 at 14 records, climbs through a multi-year run, and peaks at 520 in 2023 before the most recent years taper — an artifact of publication lag rather than a real slowdown. The receiving-office spread shows the United States as the dominant filing venue, with WIPO/PCT and European filings roughly matched, and China, India and the UK following behind.

Annual filings, 2017–2026 (2026 partial)
  1. 1FISHER ROSEMOUNT SYST INC217
  2. 2STRONG FORCE VCN PORTFOLIO 2019 LLC198
  3. 3PURE STORAGE INC187
  4. 4TYCO FIRE & SECURITY GMBH135
  5. 5ROCKWELL AUTOMATION TECH INC105
  6. 6BASF SE103
  7. 7HONEYWELL INTERNATIONAL INC97
  8. 8JOHNSON CONTROLS TECHNOLOGY CO97
  9. 9STRONG FORCE TX PORTFOLIO 2018 LLC89
  10. 10SIEMENS AG84
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Digital Twins Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Filing & Classification Data

Filing trend and technology composition

The two views below cover the same 2,724 records from different angles: one tracks when filings happened, the other tracks what they claim.

Filings climbed sharply then plateaued

Annual filings rose from 14 in 2017 to a peak of 520 in 2023. The 2021-to-2024 comparison (350 to 347, a -1% change) is the most reliable recent read on momentum; 2025 and 2026 figures are still filling in as publications catch up to filing dates.

Filings climbed sharply then plateaued0150300450600142017201820192020202120225202023202420251152026Most recent year is partial — publication lag means later filings are not yet visible.

Software and control classes lead; robotics and imaging trail

G06F (38.2% of records) and G05B (35.6%) anchor the field, with H04L (24.0%) and G06Q (22.8%) close behind, reflecting how much of digital twin patenting is about data handling, control logic and commercial platforms rather than physical robotics (B25J at 3.3%) or vision systems (G06T at 3.8%). Since records can carry multiple IPC classes, these shares sum to more than 100% of the 2,724 records in scope.

Software and control classes lead; robotics and imaging trailG06F · Electric digital data processi…1,04138.2%G05B · Control & regulating systems96935.6%H04L · Digital information transmissi…65324.0%G06Q · Business, commerce & admin dat…62222.8%G06N · Computing based on AI models50218.4%H04W · Wireless communication networks1595.8%G06T · Image data processing & genera…1043.8%B25J · Manipulators & robots903.3%Other1,44453.0%

Shares are the percentage of the 2,724 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Digital Twins Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Representative Filing

A representative digital twin claim

Representative Record · US20220191648A1
US20220191648A12022-06-16

Digital twin framework for next generation networks

INTEL CORPORATION

Systems and techniques for a digital twin framework for next generation networks are described. A digital twin model is generated for physical nodes of an edge network, including a digital twin for a physical node. When an error is identified in the physical node or its digital twin, the model is updated to halt communication with the affected node or its digital twin, and a path is created to another physical node or its digital twin instead.Filed by Intel Corporation, published 2022-06-16.

US20220191648A1 — patent drawing 1US20220191648A1 — patent drawing 2
View full record
Most-cited records in scope
#Publication no.Patent titleCitations
1US20200259896A1Industrial Automation with 5G and Beyond750
2US20200348662A1Platform for facilitating development of intelligence in an industrial internet of things system733
3US20210157312A1Intelligent vibration digital twin systems and methods for industrial environments716
4US20200225655A1Methods, systems, kits and apparatuses for monitoring and managing industrial settings in an industrial inter…563
5US20210342836A1Systems and methods for controlling rights related to digital knowledge470
6US20220366494A1Market orchestration system for facilitating electronic marketplace transactions442
7US20220108262A1Industrial digital twin systems and methods with echelons of executive, advisory and operations messaging and…387
8US20220187847A1Robot Fleet Management for Value Chain Networks341
9US20210133670A1Control tower and enterprise management platform with a machine learning/artificial intelligence managing sen…340
10US20230123322A1Predictive Model Data Stream Prioritization338

Citation counts favour older records simply because they have had more time to accumulate citations within the searched corpus — treat them as a signal of influence, not of current technical importance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Digital Twins Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Field Insights

What the numbers mean for filing strategy

Three patterns stand out once the raw counts are read against each other rather than in isolation.

Concentration
30.9% / 48.2%
top 5 / top 10 share of 2,724 records

The top of the field is dense but not closed

The five largest filers together hold 30.9% of all 2,724 records in scope, and the top ten reach 48.2%. That leaves more than half the field outside the leading group, which is unusual for a technology this heavily filed and suggests room for a well-differentiated entrant rather than only incumbents defending prior claims.

Based on the 100-company assignee ranking returned for this dataset.
Momentum
350 → 347
annual filings, 2021 to 2024

Growth has flattened, not reversed

Filings rose steeply into a 2023 peak of 520 before settling near 2021 levels by 2024, a -1% change over that span. Because publication typically lags filing by about 18 months, the apparent dip in 2025-2026 data should not be read as a real slowdown until later filings finish publishing.

Trend uses the 2021-2024 window as the most complete comparison available.
Technology mix
38.2% vs 3.3%
G06F share vs B25J share of records

This is a software field wearing a hardware label

Digital twin claims cluster overwhelmingly in electric data processing (G06F, 38.2%) and control/regulating systems (G05B, 35.6%), while manipulator and robotics claims (B25J) cover only 3.3% of the 2,724 records. Filers building physical twin hardware are operating in comparatively open claim space.

Shares sum above 100% because records can carry multiple IPC classes.
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Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to digital twins patent landscape, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Digital Twins Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Competitive Landscape

Who is filing, and where activity is cooling

The leading filers span process-control incumbents, industrial software platforms and infrastructure conglomerates, but recent-year momentum is uneven even among them.

Leader
217 records
leading assignee's family count

One filer sits well ahead of fifth place

The top-ranked assignee holds 217 records, more than double the fifth-place count of 105 and well ahead of tenth place at 84. The gap from first to fifth is steeper than the gap from fifth to tenth, pointing to one dominant filer rather than a tight cluster at the very top.

Counts are family-level, from the 100-company assignee ranking.
Recent momentum
-80% to -100% YoY
latest-year change for several ranked filers

Several established filers pulled back sharply

More than one previously active filer shows a steep year-on-year drop, including cases falling to zero filings in the latest year. Given the roughly 18-month publication lag, some of this reflects incomplete recent data rather than a genuine exit from the space.

Momentum figures are latest-year-over-prior-year, per assignee.
Collaboration
6 pairs
co-assignee pairs identified

Co-filing is rare and concentrated around one filer

Only six co-assignee pairs appear across the dataset, and the strongest of these repeatedly pair the same lead filer with individual named co-inventors rather than with other companies. Most patenting in this field happens under a single assignee rather than through joint filings.

Based on co-assignee pair frequency across the 2,724 records.
🔍
Under-claimed sub-areas worth checking before filing
These branches show comparatively thin coverage relative to the core software and control classes.
digital twin robotic manipulator controlvision-based twin synchronization (G06T-adjacent)wireless edge twin coordination (H04W-adjacent)physical asset twin sensing hardware
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Pure Storage, Inc.3-81%
STRONG FORCE TX PORTFOLIO 2018 LLC2-80%
Fisher-Rosemount Systems, Inc.1
Strong Force VCN Portfolio 2019 LLC0-100%
Johnson Controls Technology Company0-100%
BASF SE0-100%
Rockwell Automation Technologies, Inc.0-100%
Honeywell International Inc.0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Digital Twins Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Next Steps

Where to take this analysis

The figures here describe the field as a whole; a specific filing decision needs the underlying claims read against your own draft.

Check the white space before drafting

Robotics and vision-based twin synchronization show thin coverage relative to the software-heavy core. Confirm whether that gap holds for your specific claim before assuming it is open.

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Read the leading filer's claim scope directly

Concentration at the top means a handful of portfolios likely cover adjacent ground to any new filing. Pull their independent claims before finalizing scope.

Review leading portfolios in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Digital Twins Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about digital twin patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Digital Twins Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Go past this page: query the whole digital twins patent landscape 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.