Digital Twin Control Patent Landscape 2026
Digital Twin Control Patent Landscape in 2026
The digital twin control patent space is highly concentrated, with a single portfolio holder commanding nearly half of all tracked families and the top five filers accounting for 71% of the hundred largest filers’ combined output. The field is still expanding on a multi-year basis, though annual volume has eased from its 2022 peak and the most recent years remain further understated by publication lag.
Strong Force VCN leads a sharply concentrated field
Strong Force VCN Portfolio 2019 LLC tops the top five filers — Strong Force VCN, Tyco Fire & Security, Rockwell Automation Technologies, Hitachi Ltd, and. China University of Petroleum (East. China) — together account for 71% of the hundred largest filers’ combined total.
The tier gap between the leader and the rest of the field is pronounced. Only three applicants hold more than two patent families, and the majority of ranked filers hold exactly one. This compression at the lower tiers signals that the market is not yet drawing a broad incumbent cohort into serious filing programs.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Strong Force VCN Portfolio 2019 LLC | 35 | |
| 2 | TYCO FIRE & SECURITY GMBH | 8 | |
| 3 | Rockwell Automation Technologies Inc | 6 | |
| 4 | Hitachi Ltd | 3 | |
| 5 | China University of Petroleum (East China) | 3 | |
| 6 | Siemens AG | 2 | |
| 7 | DR Industrial Robotic Technology Ltd | 1 | |
| 8 | South China Normal University | 1 | |
| 9 | Rockwonit Global Co. Ltd | 1 | |
| 10 | Cha Hoo Co. Ltd | 1 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Qingdao Haier Washing Machine Co. Ltd | 1 | |
| 12 | Beijing Kaiyun United Information Technology Group Co. Ltd | 1 | |
| 13 | Yanshan University | 1 | |
| 14 | Shanghai University | 1 | |
| 15 | Beijing University of Technology | 1 | |
| 16 | DREAMBOT PTE LTD | 1 | |
| 17 | Zhejiang University | 1 | |
| 18 | HUAZHONG UNIV OF SCI & TECH | 1 | |
| 19 | Guangdong University of Technology | 1 | |
| 20 | Yantai Jierui Network Trading Co. Ltd | 1 |
Strong Force VCN’s dominant position, combined with its new-entrant momentum pattern across the recent window, suggests a deliberate IP aggregation or portfolio-building strategy rather than organic incremental R&D — a dynamic that shapes freedom-to-operate analysis for any new entrant.
The most recent 18–24 months of filing data are subject to publication lag and should be treated as incomplete; apparent slowdowns in 2024–2026 do not reliably indicate declining market interest. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
A 2022 filing surge and a technology mix anchored in control systems and robotics
The annual filing trend reveals a field that moved from near-zero activity before 2019 to a pronounced peak in 2022, while the technology composition shows control and regulating systems as the dominant branch alongside significant robotics and AI-model coverage.
Annual filing trend
Filings were negligible through 2018, then accelerated rapidly: two families in 2019, four in 2020, five in 2021, and a sharp surge to 27 in 2022 before easing to 18 in 2023 and 11 in 2024. The 2025 and 2026 figures are substantially understated by publication lag and should not be read as a continued decline. On a recent-versus-prior three-year basis, growth stands at 409%, confirming the field is still expanding despite the annual moderation from peak.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G05B (Control and regulating systems) is the most heavily covered branch, followed by B25J (Manipulators and robots) and G06F (Electric digital data processing). G06Q (Business, commerce, and admin data processing) and G06N (AI models) represent meaningful secondary branches, reflecting the convergence of operational and intelligence layers in digital twin architectures. Lower-share branches such as B33Y (Additive manufacturing) and G05D (Control of non-electric variables) signal adjacent application areas that remain relatively sparse.
↗ 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.
Digital twin control system for product processing…
The present invention belongs to the field of quality control of processed products, and discloses a digital twin control system for product processing quality. The digital twin control system establishes a real-time interactive digital twin system completely matched with an actual processing system according to the working principle of a CNC (Computer… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Predictive Model Data Stream Prioritization | 328 |
| 2 | Systems, methods, kits, and apparatuses for edge-d… | 120 |
| 3 | Robotic Fleet Configuration Method for Additive Ma… | 101 |
| 4 | Component-Inventory-Based Robot Fleet Management i… | 75 |
| 5 | Systems, methods, kits, and apparatuses for managi… | 64 |
| 6 | Robotic digital twin control with industrial conte… | 62 |
| 7 | Distributed Additive Manufacturing Platform for Va… | 61 |
| 8 | Fleet Management Platform for Multi-Purpose Robots | 28 |
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.
What the patent structure means for R&D investment decisions
Four structural observations — lifecycle stage, competitive concentration, co-filing behavior, and geographic spread — directly shape how an R&D team should prioritize filing strategy and partnership outreach.
Growth stage, but past the 2022 annual peak
The field carries a Growth lifecycle label: the recent three-year filing window sits well above the prior three-year window, reflecting a 409% expansion. However, annual volume has eased from its 2022 peak. For an R&D investor, this combination means foundational claim territory is being staked now, but the window for early-mover positioning has not closed — particularly in adjacent branches that remain sparse.
Growth · post-2022 peakSingle filer holds ~46% of tracked families
Strong Force VCN Portfolio 2019 LLC holds 35 of the 76 tracked patent families, and the top five filers together account for 71% of the hundred largest filers’ combined output. This level of concentration — driven largely by a single portfolio entity — creates both freedom-to-operate risk for manufacturers and a potential licensing overhang. Challengers should map Strong Force VCN’s claim scope early before committing R&D resources to overlapping application areas.
High concentrationMinimal co-filing; one active pair identified
Only one co-filing relationship is evidenced in the data: Qingdao Haier Washing Machine Co. Ltd and Haier Smart Home Co. Ltd filed jointly, reflecting intra-group coordination within the Haier ecosystem rather than cross-industry partnership. The near-absence of co-applicant activity across the broader field suggests that collaborative R&D consortia have not yet formed around digital twin control standards — an open signal for ecosystem-building initiatives.
Low collaborationUS-dominant filing; China and PCT as secondary routes
The United States leads all jurisdictions with 35 patent records, followed by China at 14 and WIPO PCT at 7. Europe (EPO) accounts for 5 records, with Japan, South Korea, Australia, and Singapore each contributing smaller volumes. The concentration of filings in the US aligns with Strong Force VCN’s portfolio base, while the China and PCT routes point to a secondary layer of academic and industrial filers pursuing broader international coverage.
US-led, China secondaryGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| Qingdao Haier Washing Machine Co. Ltd | Haier Smart Home Co. Ltd | 1 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Strong Force VCN vs. an emerging industrial-automation tier
The leader-challenger gap in digital twin control is among the widest observable in an emerging field — a single entity accounts for nearly half the corpus, while the next tier is composed of established industrial-automation firms each holding single-digit family counts.
Strong Force VCN Portfolio 2019 LLC
Strong Force VCN holds 35 patent families, entering the field as a new entrant in the recent window with all filings concentrated in robotics and manipulators (B25J), business and operational data processing (G06Q), and additive manufacturing (B33Y). The portfolio’s breadth across application domains — from robotic fleet management to distributed additive manufacturing — indicates an IP aggregation strategy spanning the full digital twin control stack. New-entrant momentum across the recent period signals continued active filing.
families: 35Tyco Fire & Security GmbH
Tyco Fire & Security GmbH (Johnson Controls Tyco IP Holdings) holds 8 patent families and entered as a new entrant in the recent window, focusing on control and regulating systems (G05B) and air conditioning and ventilation (F24F). This technology emphasis positions the firm in building-automation and facility-management digital twin applications — a domain distinct from Strong Force VCN’s robotics-and-manufacturing axis. Rockwell Automation Technologies, with 6 families and a new-entrant trajectory, closely follows with coverage in manipulators, digital data processing, and control systems.
families: 8| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Strong Force VCN Portfolio 2019 LLC | 35 | ▲ new entrant |
| Johnson Controls Tyco IP Holdings LLP | 7 | ▲ new entrant |
| Rockwell Automation Technologies Inc | 2 | ▲ new entrant |
| China University of Petroleum (East China) | 1 | ▲ new entrant |
| Siemens AG | 1 | ▲ new entrant |
| Jugranko Co. Ltd | 1 | ▲ new entrant |
| Qingdao Haier Washing Machine Co. Ltd | 1 | ▲ new entrant |
| Yanshan University | 1 | ▲ new entrant |
Under-served branches adjacent to the dominant control-systems core
Several IPC branches within the digital twin control corpus remain at low share relative to the dominant G05B core, representing areas where documented activity is sparse and technical adjacency is plausible — though each warrants independent prior-art and market validation before being treated as an actionable opportunity.
G06N · AI Models Applied to Digital Twin Control
With 17 patent records and a 7% share of the corpus, AI-model integration with digital twin control loops is under-represented relative to the scale of industry activity in the area. The technical value is plausible: reinforcement learning and neural-network-based predictive control are natural complements to digital twin feedback architectures. Entry paths could include filing in model-based predictive control, anomaly detection, or adaptive control policies specifically tied to twin-state synchronization — areas where the existing claim landscape appears thin.
Search this in Eureka →B33Y · Additive Manufacturing Digital Twin Control
B33Y (Additive manufacturing) accounts for 15 patent records and a 6% share, with Strong Force VCN holding the bulk of these families. Outside that single portfolio, the branch is largely unclaimed by independent industrial or academic filers. Given the operational complexity of closed-loop additive manufacturing — where real-time layer-by-layer feedback and twin-state correction are technically demanding — there is a plausible entry path for process-equipment OEMs or materials specialists to file on application-specific control methodologies not yet covered by the existing portfolio.
Search this in Eureka →How leaders differ by technology route
Strength of each leader across the main technology routes.
| Player | B25J 9 · Manipulators & robots | G05B 19 · Control & regulating systems | G06Q 10 · Business, commerce & admin data processing | G06N 3 · Computing based on AI models | B33Y 50 · Additive manufacturing (3D printing) |
|---|---|---|---|---|---|
| Strong Force VCN Portfolio 2019 LLC | Strong · 27 | Moderate · 11 | Strong · 23 | Strong · 14 | Strong · 15 |
| Rockwell Automation Technologies Inc | Strong · 5 | Moderate · 2 | Absent | Absent | Absent |
| Johnson Controls Tyco IP Holdings LLP | Absent | Strong · 4 | Absent | Absent | Absent |
| China University of Petroleum (East China) | Absent | Strong · 3 | Absent | Absent | Absent |
| DREAMBOT PTE LTD | Strong · 1 | Strong · 1 | Absent | Absent | Absent |
| Shanghai DR Industrial AI Technology Co. Ltd | Strong · 1 | Absent | Absent | Strong · 1 | Absent |
| DR Industrial Robotic Technology Ltd | Strong · 1 | Absent | Absent | Strong · 1 | Absent |
Frequently asked questions
The corpus covers 76 patent families. The United States is the leading filing jurisdiction, and the dataset spans activity from 2017 through 2026, with the most recent years subject to publication lag.
Strong Force VCN Portfolio 2019 LLC leads with 35 patent families — more than four times the next-ranked filer, Tyco Fire & Security GmbH at 8 families. Strong Force VCN entered as a new entrant in the recent filing window and focuses on robotics, operational data processing, and additive manufacturing.
The field is classified as Growth. The recent three-year filing window sits well above the prior three-year window, representing a 409% expansion. Annual volume peaked in 2022 at 27 families and has eased since, but the multi-year trajectory remains upward. The most recent years are further understated by publication lag.
G05B (Control and regulating systems) is the most heavily covered branch, followed by B25J (Manipulators and robots) and G06F (Electric digital data processing). G06Q (Business, commerce, and admin data processing) and G06N (AI models) are significant secondary branches.
The evidence shows very limited co-filing activity. Only one co-applicant pair is documented: Qingdao Haier Washing Machine Co. Ltd and Haier Smart Home Co. Ltd, which reflects intra-group coordination within the Haier corporate ecosystem rather than cross-industry partnership.
The branches with the lowest documented activity relative to their technical relevance include G06N (AI models, 17 records, 7% share), B33Y (Additive manufacturing, 15 records, 6% share), G05D (Control of non-electric variables, 9 records, 4% share), and G06V (Image/video recognition, 9 records, 4% share). Each represents sparse coverage where new filings could differentiate, but prior-art and market validation are warranted before treating them as confirmed opportunities.
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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.