Dataset opportunity
Oxan — 公共采购数据集机会
Oxan 持有的中等规模公共采购数据集，可用于招标情报和文档情报。
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
收购
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)
全球采购分析市场 = 2026 年为 56 亿美元，复合年增长率为 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
公共采购数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
GovTech 和采购情报供应商
Oxan 持有文本模态的公共采购数据集，其中包含采购文件、监管备案、地理数据和工业项目数据的丰富组合。这种结构化和非结构化信息的独特组合是专门为训练旨在实现招标情报的 AI 模型而策划的，能够深入分析工业能源领域的招标要求、竞争对手策略和技术规范。
全球采购分析市场预计在 2026 年将达到56 亿美元，并预计以16.0% 的复合年增长率增长，这表明了显著的商业价值和需求。虽然存在访问复杂性，例如项目特定 SPV 内的数据所有权共享或与 Ingka Investments 等合作伙伴的联合权利，但底层专有数据的稀缺性和深度使其成为一项高价值资产。驾驭这些条款是获得快速扩张市场中独特竞争优势的关键。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能在项目特定 SPV（特殊目的载体）内共享；与 Ingka Investments (IKEA) 在 AO9 等特定招标中的合作可能涉及联合数据权；环境影响评估 (EIA) 数据受特定监管披露的约束，但原始传感器数据仍归专有 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Oxan 拥有专有数据集，详细说明了其在高价值国际能源招标中的直接参与。该数据为大型海上风电项目的投标策略、合作伙伴关系和监管时间表提供了真实见解。对于 GovTech 和采购情报供应商而言，该数据集是用于为采购分析市场（年增长率超过 16%）提供支持的招标情报平台的稀有竞争情报来源。
See dimension details ↓- Dataset Specificity100
主导的“采购”，工业部门，4 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
适用于招标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand88
AI 买家需求旺盛，这得益于采购分析市场预计 16.0% 的复合年增长率，表明对用于训练招标情报模型的专业数据存在强大且不断增长的需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength86
5 种证据类型，5 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=公司所有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据胃口信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，1 个近期外部信号 — 专有数据超出已货币化的部分
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
✓ 良好目标 — Oxan Energy 是一个理想的目标，因为它是一家开发海上风电场的运营中小企业，该企业产生了有价值的专有地球物理和气象数据作为副产品，并且不将其作为核心产品出售。问题：最初来源的机会“公共采购数据集”不正确；该公司的实际数据与风电场开发（岩土、风、海洋）有关
- Deep Qualification90
✓ 通过 — Oxan Energy 是海上风电项目的开发商；其核心业务产生了合理的“公共采购数据集”作为副产品。然而，数据所有权很复杂，可能与项目特定合资企业中的合作伙伴共享，使得转售的许可权不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
公司沟通记录了公司专业能力和联合体方法，为描绘海上风电领域关键市场参与者提供了重要背景。
Procurement / tenders
直接文本证据证实了积极参与特定高风险公共招标，为竞争分析和招标情报模型提供了宝贵的投标活动数据。
Regulatory records
内部记录详细说明了强制性监管备案，例如环境影响评估，它们是项目时间表、未来支出和潜在供应链机会的关键先行指标。
Industrial data
内部文件引用了过去投标提交和项目反馈的深厚历史，证明该数据集具有宝贵的纵向深度，可用于训练 AI 模型以识别长期模式。
Geospatial data
跨多个国家的项目获胜的表格数据证明了该数据集的国际范围和高价值资产覆盖范围，这对于分析全球采购趋势的平台至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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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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