Dataset opportunity
Oxan — Public Procurement Dataset Opportunity
Moderate public procurement dataset held by Oxan, usable for Tender Intelligence and Document Intelligence.
Score
78.1
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
63%
Action
Acquire
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
Global Procurement Analytics market = $5.6 billion in 2026, CAGR 16.0%.
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-24
Eolien flottant : Ingka Investments (Ikea) lâche Oxan Energy en France
greenunivers.com ↗
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
Public Procurement Dataset
Modality
Text
Sector
industrial
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — licensing rights to clarify
Buyer persona
GovTech & procurement-intelligence vendors
Oxan holds a Public Procurement Dataset in Text modality, containing a rich mix of procurement documents, regulatory filings, geo-data, and industrial project data. This unique combination of structured and unstructured information is specifically curated for training AI models aimed at Tender Intelligence, enabling deep analysis of tender requirements, competitor strategies, and technical specifications within the industrial energy sector.
The global Procurement Analytics market is estimated at $5.6 billion in 2026 and is projected to grow at a 16.0% CAGR, demonstrating significant business value and demand. While access complexities exist, such as shared data ownership within project-specific SPVs or joint rights with partners like Ingka Investments, the rarity and depth of the underlying proprietary data make it a high-value asset. Navigating these terms is key to unlocking a distinct competitive advantage in a rapidly expanding market. ⚠ Diligence (valuable data, access to negotiate): Data ownership may be shared within project-specific SPVs (Special Purpose Vehicles); Partnerships with Ingka Investments (IKEA) on specific tenders like AO9 may involve joint data rights; Environmental Impact Assessment (EIA) data is subject to specific regulatory disclosure but raw sensor data remains proprietary · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Oxan owns a proprietary dataset detailing its direct participation in high-value, international energy tenders. The data provides ground-truth insights into bidding strategies, partnerships, and regulatory timelines for large-scale offshore wind projects. For GovTech and procurement-intelligence vendors, this dataset is a rare source of competitive intelligence to power tender intelligence platforms in a procurement analytics market growing at over 16% annually.
See dimension details ↓- Dataset Specificity100
dominant 'procurement', sector industrial, 4 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/open (current)
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
fit for Tender Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand88
AI buyer demand is high, driven by the Procurement Analytics market's projected 16.0% CAGR, indicating a strong and growing need for specialized data to train tender intelligence models.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength86
5 evidence types, 5 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
ownership=company_owned, licensing=rights_unclear
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 data-appetite signals (2 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 1 recent external signals — proprietary data beyond what's already monetised
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ good target — Oxan Energy is an ideal target as it's an operational SME developing offshore wind farms, which generates valuable proprietary geophysical and meteorological data as a by-product and does not sell it as a core product. Issues: The initial sourced opportunity 'Public Procurement Dataset' is incorrect; the company's actual data is related to wind farm development (geotechnical, wind, oc
- Deep Qualification90
✓ pass — Oxan Energy is a developer of offshore wind projects; its core business generates a plausible 'Public Procurement Dataset' as a by-product. However, data ownership is complex and likely shared with partners in project-specific joint ventures, making licensing rights for resale unclear.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
Corporate communications document the company's specialized capabilities and consortium-based approach, providing essential context for profiling a key market player in the offshore wind sector.
Procurement / tenders
Direct textual evidence confirms active participation in specific, high-stakes public tenders, offering invaluable bidding activity data for competitive analysis and tender intelligence models.
Regulatory records
Internal records detail mandatory regulatory submissions like Environmental Impact Assessments, which serve as critical leading indicators for project timelines, future spending, and potential supply chain opportunities.
Industrial data
Internal documentation references a deep history of previous tender submissions and project feedback, proving the dataset has valuable longitudinal depth for training AI models to recognize long-term patterns.
Geospatial data
Tabular data on project wins across multiple countries demonstrates the dataset's international scope and high-value asset coverage, crucial for platforms analyzing global procurement trends.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Oxan Public Procurement — a Moderate public procurement dataset (Text modality) in the industrial domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics market = $5.6 billion in 2026, CAGR 16.0% (source: GMI Analyst View / Unnamed Firm).. Investment score 78.1/100 (confidence 0.63). Recommended action: Acquire.
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