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Secure Multiparty Computation Patents: Leaders & Trends 2026

Secure Multiparty Computation Patents: Leaders & Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/privacy-enhancing-technologies-secure-multiparty-computation-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Secure Multiparty Computation
Secure multiparty computation patents: who is filing, how fast, and where the claim space is still open
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451
Published Records
21%
Top-5 Share of All Records
+100%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (24 records) with 2024 (48) — 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 451 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Field Overview

What the secure multiparty computation patent record shows

Secure multiparty computation (SMPC) lets multiple parties jointly compute a function over their private inputs without revealing those inputs to one another. The patent record in scope spans 451 published records filed between 2015 and mid-2026, covering both foundational cryptographic protocols and applied uses in finance, healthcare and AI model training. Publication lags filing by roughly 18 months, so the most recent filing years in any trend undercount actual activity.

Filing activity is spread across a wide applicant base rather than owned outright by a handful of firms, though a top tier of assignees does account for a measurable share of records. Technology claims lean heavily toward transmission and data-processing infrastructure rather than narrow cryptographic primitives, which shapes where freedom-to-operate risk actually sits.

Filing activity and technology mix, 2015-2026
  1. 1ROBERT BOSCH GMBH26
  2. 2KONINKLIJKE PHILIPS NV18
  3. 3ADVANCED NEW TECHNOLOGIES CO LTD17
  4. 4ACRONIS INT16
  5. 5SEDICII INNOVATIONS LTD16
  6. 6MITSUBISHI ELECTRIC RESEARCH LABORATORIES INC11
  7. 7NCHAIN HLDG LTD11
  8. 8BEIJING ZITIAO NETWORK TECH CO LTD10
  9. 9LEMON INC(GB)10
  10. 10ARES TECHNOLOGIES INC10
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Privacy-Enhancing Technologies: Secure Multiparty Computation Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Data & Trends

Filing trend, receiving offices and technology composition

The figures below are drawn directly from the 451 records in scope: annual filing counts, where applications were filed, and which IPC subclasses the claims fall under.

Filing trend: steady growth into a still-provisional peak

Annual filings rose from 3 in 2017 to a confirmed 48 in 2024 — a +100% increase over the 2021-2024 span — before reaching a nominal peak of 84 in 2025. Because publication trails filing by about 18 months, 2025 and 2026 figures will continue to rise as more records surface; they should not be read as a plateau or decline.

Filing trend: steady growth into a still-provisional peak0255075100320172018201920202021202220232024842025172026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition: transmission and data processing dominate

H04L (digital information transmission) appears in 74.3% of the 451 records and G06F (electric digital data processing) in 41.9%, showing that most claims sit at the systems and networking layer. AI-adjacent class G06N reaches 16.4% of records, while dedicated ciphering class G09C accounts for only 4.7% — a sign that pure cryptographic-primitive claims are a small slice of a much larger applied-systems field.

Technology composition: transmission and data processing dominateH04L · Digital information transmissi…33574.3%G06F · Electric digital data processi…18941.9%G06N · Computing based on AI models7416.4%G06Q · Business, commerce & admin dat…5712.6%H04W · Wireless communication networks276.0%G16H · Healthcare informatics255.5%G09C · Ciphering & secret communicati…214.7%H04N · Pictorial communication (video…92.0%Other6213.7%

Shares are the percentage of the 451 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 Privacy-Enhancing Technologies: Secure Multiparty Computation Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Representative and most-cited filings

Representative Filing
US20250254031A12025-08-07

Privacy-Preserving Decision Trees Using Secure Multiparty Computation and Differential Privacy

ORACLE INTERNATIONAL CORPORATION

Privacy-preserving decision trees may be generated using secure multiparty computation and differential privacy. The protocol determines class partitions and frequencies from a data set, checks a stopping condition, determines a majority class, scores candidate partitions by attribute quality, and selects an attribute for further partitioning based on those scores.Filed by Oracle International Corporation, published 2025-08-07 as US20250254031A1.

US20250254031A1 — patent drawing 1US20250254031A1 — patent drawing 2
View full filing
Most-cited records in the secure multiparty computation corpus
#Publication no.Patent titleCitations
1US20180276417A1Secure multiparty computation on spreadsheets167
2EP2639997A1Method and system for secure access of a first computer to a second computer88
3US20160261409A1Cryptographic apparatus76
4US20070116283A1Method and device for efficient multiparty multiplication76
5US20190372760A1Method and System for Fault Tolerant and Secure Multiparty Computation with SPDZ74
6US20210091952A1Secure computing hardware apparatus and methods of manufacturing a secure computing hardware apparatus73
7US20190356491A1System and Method for Securing Personal Information Via Biometric Public Key73
8US20200186350A1Secure computing hardware apparatus64
9US20180096166A1System and Method for Secure Query Processing for Private Data Networks58
10US20160335440A1Transferable Multiparty Computation56

Citation counts reflect influence within this searched corpus and skew toward older filings; treat them as a signal of prior visibility, not current commercial weight.

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 Privacy-Enhancing Technologies: Secure Multiparty Computation Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Analyst Insights

Reading the concentration, the growth curve and the claim map

Three figures from the dataset matter most for a freedom-to-operate or filing-strategy call: how concentrated ownership is, how fast the field is actually growing, and where claims cluster technically.

Concentration
20.6%
of 451 records held by top 5 assignees

Ownership is top-heavy but not closed

The leading assignee holds 26 records; the top 5 combined reach 93 records, or 20.6% of all 451 in scope. That leaves nearly four-fifths of filings distributed across a long tail of single- and few-filing entrants, which is where new entrants typically find room to establish position.

Based on the 100-company ranked assignee list.
Growth
+100%
filing growth, 2021 to 2024

Filings doubled over three complete years

Annual filings went from 24 in 2021 to 48 in 2024, a confirmed doubling. The nominal 2025 peak of 84 filings should be read cautiously since publication lag means 2025-2026 counts are still filling in.

2024 is the most recent year treated as complete.
Claim geography
74.3% vs 4.7%
H04L share vs G09C share of 451 records

Systems claims dwarf primitive-cryptography claims

H04L (digital transmission) touches 74.3% of records while G09C (ciphering and secret communication) touches only 4.7%. Most competitive pressure sits in how SMPC is wired into transmission and data-processing systems, not in the underlying cryptographic primitives themselves.

IPC shares sum to more than 100% because records carry multiple classes.
Filing geography
162 US filings
vs 102 India, 56 EPO, 42 WIPO

Filing is US-led with a strong India and PCT presence

United States receiving-office filings lead at 162, with India close behind at 102 and EPO and WIPO/PCT filings at 56 and 42 respectively. That spread suggests applicants are pursuing both US commercial protection and broad international coverage via PCT rather than concentrating in a single jurisdiction.

Receiving-office counts, not family-adjusted.
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Privacy-Enhancing Technologies: Secure Multiparty Computation Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Using this landscape for filing and freedom-to-operate decisions

The dataset points to specific next steps depending on whether the goal is clearing a filing, tracking a competitor, or finding open claim space.

Check freedom-to-operate against the densest classes

H04L and G06F carry the bulk of claim density, so any new SMPC filing tied to transmission or data-processing architecture should be checked against those classes first rather than against ciphering-specific prior art alone.

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Track the long tail, not just the leader

With 79.4% of records held outside the top 5 assignees, competitive monitoring needs to cover the long tail of single-filing entrants, not just the largest holder.

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Revisit growth once 2025-2026 data settles

The confirmed 2021-2024 doubling is the reliable growth signal; treat the nominal 2025 peak as provisional until publication catches up.

Monitor filing trends in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Privacy-Enhancing Technologies: Secure Multiparty Computation Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about secure multiparty computation patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Privacy-Enhancing Technologies: Secure Multiparty Computation Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.

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