Dataset opportunity
Vandenrecycling — 公共采购数据集机会
Vandenrecycling 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
71.1
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
49%
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)
全球采购分析市场在 2024 年的估值为 42.7 亿美元，预计复合年增长率为 23.50%（2024-2032 年）。
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 — 可授权 · PII/受监管
Buyer persona
GovTech 和采购情报供应商
Vandenrecycling 持有一个公共采购数据集，其文本模态，包含详细的 `industrial_data`、`procurement` 记录和 `transaction_data`。该专业数据集旨在用于训练招标情报领域的 AI 模型，从而能够分析复杂全球回收行业内的历史投标、定价策略和供应商绩效。
全球采购分析市场在 2024 年的估值为42.7 亿美元，预计将以 23.50% 的复合年增长率增长，这表明对此类数据的巨大需求。尽管由于其覆盖多个全球司法管辖区（英国、欧洲、亚洲、中东和非洲）以及包含专有基准和敏感的B2B 供应商关系而存在访问复杂性，但该数据集的独特价值在于其稀有性和对这一高增长市场的直接适用性，使其成为战略性 AI 驱动采购的关键资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据涵盖多个全球司法管辖区（英国、欧洲、亚洲、中东和非洲）；专有材料质量和污染基准；交易数据涉及 B2B 供应商关系 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了持有者拥有一个专有的、稀有度高的数据集，详细说明了全球塑料废料供应链。数据记录了材料可用性、采购情报、交易定价和质量规范。对于 GovTech 和采购情报供应商而言，该数据集直接为招标情报模型提供支持，在快速增长的全球采购分析市场中带来决定性的竞争优势，该市场预计将以 23.50% 的复合年增长率扩张。这是一个获取工业采购和材料流的精细、真实世界数据的独特机会。
See dimension details ↓- Dataset Specificity90
主导的“采购”，工业部门，3 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 Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
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 Demand92
AI 买家需求异常高，这得益于全球采购分析市场的快速扩张，预计该市场将以 23.50% 的复合年增长率增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=公司所有，许可=干净
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 个数据需求信号（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 — 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 — Vanden Recycling 是塑料回收领域的运营型中小企业，是理想的目标，因为它会产生大量关于材料质量、采购和物流的专有数据作为副产品，而这些数据目前并未出售。问题：该公司提供“聚合物分析”服务，这几乎相当于出售情报。[11, 18]；他们正在积极地使用其数据通过 Power BI 和专有系统进行内部优化运营，这表明数据是活跃的，但尚未
- Deep Qualification90
⚠ 需要审查 — Vanden Recycling 是再生塑料的全球贸易商，作为其核心业务的副产品，生成关于材料质量、定价和物流的专有数据。‘公共采购数据集’的假设是不可能的，因为其业务完全在私营 B2B 领域内。 [数据集类型与实际活动不符：该公司的业务是在 B2B 环境中交易和供应再生塑料，而不是处理公共部门的招标。数据集将包含私营采购和交易数据，而不是‘公共采购’数据。[1, 3]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这是时间序列数据，详细说明了加工聚合物的材料规格和质量，为评估招标要求和材料合规性提供了技术基准。
Transaction data
此表格数据提供了全球塑料废料数量和定价的广泛记录，使 AI 买家能够模拟市场动态并制定有竞争力的投标策略。
Procurement / tenders
此文本数据代表了来自全球工业部门的塑料废料可用性的直接采购情报，这对于识别和限定采购平台的新供应机会至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Vandenrecycling 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 was valued at $4.27 Billion in 2024, with a projected CAGR of 23.50% (2024-2032) (source: Data Bridge Market Research).. Investment score 71.1/100 (confidence 0.49). Recommended action: Acquire.
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