Patent Valuation Data - the provider x IP-BI
Overview
Patent Valuation Data - the provider x IP-BI is a text dataset. Relevant sectors: AI & Machine Learning and Public Sector & Legal. Pricing is not published and is provided on request.
Data as of Q2 2026. The information on this website reflects the latest available data as of June 2026 and may not reflect subsequent changes. IP-BI Valuation Data transforms raw patent information into clear business value. Using a machine-learning market-analogy model trained on real transaction prices, the service calculates an upper (Vo) and lower (Vu) Euro value for every alive patent family —or for single publications where required— and refreshes those numbers every quarter. Each asset also receives five qualitative key figures that pinpoint strengths and weaknesses: A – Assignee strength (company size, R&D intensity, inventor team) EA – Market Attractiveness (technology trend momentum) EC – Market Coverage (breadth and economic weight of protected markets) T – Technical Quality (transferability, differentiation over prior art) L – Legals (procedural status, claim breadth, maturity) Coverage & cadence 34M+ live patents valued across 94 jurisdictions Drawn from the provider’s collection of 182M+ patent documents from 170 authorities Historical snapshots available back to 2012, updated four times a year Methodology highlights - 27 empirically weighted indicators feed a trained ML model to deliver fair-market values within a documented confidence band. - Values depreciate automatically for ageing or pending assets, reflecting true market liquidity expectations. Delivery options - Simple REST endpoints: query by publication number or family ID to retrieve Vo/Vu, quality s
Technical specifications
- Modalities
- Text
- File formats
- XML, JSON, CSVInferred
- Volume
- Not specified by the provider
Related datasets
More in Text & Language →Patent Data | 182M+ Documents Across 170 Authorities, Sourced Direct From Each Office
Data as of Q2 2026. The information on this website reflects the latest available data as of June 2026 and may not reflect subsequent changes.
- Language
- —
- Volume
- 182M documents
- Domain
- AI & Machine Learning +1
- Use case
- Machine translation
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