Blast Furnace Process Modelling Patents: Who Leads, Gaps 2026
Blast Furnace Process Modelling Patents: A Small, Concentrated Field
23 records total, all of them attributed to just four ranked assignees — the entire ranked field, not a top-50 cut. Filings rose to a peak of 10 in 2021 and dropped to 0 by 2024, a -100% move over that three-year span. With only 23 records total, a handful of filings from one or two assignees is enough to move the whole curve — treat this as a thin, event-driven history rather than a stable multi-year trend.
- 1保尔伍斯股份有限公司52.2%
- 2塔塔顾问服务有限公司39.1%
- 3杰富意钢铁株式会社4.3%
- 4川崎制铁株式会社4.3%
See the full blast furnace process modelling 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 this patent set
Who holds the most patents in blast furnace process modelling?
Within this dataset, one assignee holds 12 of the 23 records in scope, roughly half the entire ranked field. Only four assignees appear in the ranking at all, and together they account for all 23 records — there is no long tail of smaller filers to track separately. Anyone assessing competitive position in this niche should treat that single leading portfolio as the primary reference point.
Is blast furnace process modelling patent activity growing or shrinking?
Filing peaked at 10 records in 2021 and had fallen to zero by 2024, the most recent year the dataset can treat as complete, which the evidence records as a -100% move over that span. Because patent publication typically lags filing by about 18 months, the 2025-2026 figures are still incomplete and should not be read as proof the field has gone quiet permanently. Based on what has published so far, though, the 2021 surge was not sustained into the following years.
What kind of technology do these patents actually claim?
Despite the ironmaking subject matter, every one of the 23 records carries a G05B control-and-regulating-systems classification, and 47.8% also carry a G06N AI-computing classification. Classic iron-production classification (C21B) appears in only 13.0% of records. In practice this means the claims are mostly about control loops, thermal-state inference and machine-learning models layered on furnace data, not the furnace process itself.
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 Blast Furnace Process Modelling 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.