Graph Analytics at Scale Patents: Who Leads, Where the Gaps Are 2026
Graph Analytics at Scale Patents: Filing Trends and Who Holds the Claims
46.8% of all 1,391 records sit with just five assignees, and 57.2% with ten — a field concentrated at the top with a long tail below it. Filings rose from 45 in 2017 to a peak of 170 in 2022, then grew 38% from 101 (2021) to 139 (2024) — the last year the data can be read as complete. 2025 and 2026 figures (27 in 2026) understate true filing activity because publication typically lags filing by roughly 18 months.
- 1NVIDIA CORP23.5%
- 2INTEL CORP13.7%
- 3INTERNATIONAL BUSINESS MACHINE CORPORATION4.0%
- 4ADVANCED MICRO DEVICES INC3.3%
- 5APPLE INC2.3%
See the full graph analytics at scale analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions about graph analytics at scale patents
Who holds the most patents in graph analytics at scale?
The ranked list of 100 assignees shows one company well ahead of the rest, holding 327 of the 1,391 records in scope — more than five times the count held by the fifth-placed assignee (32). The top five assignees combined hold 46.8% of all records, and the top ten hold 57.2%, so the field is concentrated at the top but still leaves a long tail of smaller filers. Anyone entering this space should expect to work around, or license from, a small group of established holders rather than a fragmented field.
Is graph analytics at scale patent filing still growing?
Yes, based on the last fully comparable years: filings grew 38% from 101 in 2021 to 139 in 2024, with a peak of 170 already reached in 2022. Later years (2025-2026) show lower counts, but that is expected — publication typically lags filing by around 18 months, so the most recent years always look artificially thin. The honest read is that filing activity was still rising through 2024, not slowing.
What technology areas dominate graph analytics at scale patents?
General digital data processing (IPC class G06F) appears in 57.1% of the 1,391 records, making it the dominant category, followed by digital information transmission (H04L) at 23.7% and AI-based computing (G06N) at 16.3%. This pattern suggests most claims are grounded in systems engineering — how data moves and is processed at scale — rather than in graph theory alone. Because a single filing can carry multiple IPC codes, these figures should be read as overlapping shares of the record total, not as mutually exclusive segments.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Graph Analytics at Scale covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.