Dataset opportunity
Ecodatacenter — 公共采购数据集机会
Ecodatacenter 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
45
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
56%
Action
获取
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 2025 年的估值为 47 亿美元，预计在 2026-2035 年期间的复合年增长率为 16.0%。
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.
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
GovTech 和采购情报供应商
Ecodatacenter 持有一个有价值的公共采购数据集，其数据模态为文本，源自其收购数据中心基础设施的丰富历史。这些数据包含详细的 `procurement`（采购）记录、`industrial_data`（工业数据）规范和 `iot_data`（物联网数据）系统要求，为招标情报提供了细粒度的供应商定价、合同条款和技术配置见解。
该数据集直接服务于全球采购分析市场，该市场在 2025 年的估值为 47 亿美元，预计将以 16.0% 的复合年增长率增长。[2] 尽管存在私人股本所有权（Areim）和高安全要求等访问复杂性，但这些用于构建超高效数据中心的采购记录的稀有性和真实细节，使其成为寻求在快速增长的市场中获得决定性竞争优势的 AI 买家的高价值资产。[2] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据主要是基础设施遥测和能源指标；客户特定的 IT 负载数据归客户所有且高度敏感；私人股本（Areim）的所有权可能会使直接数据许可协议复杂化；高安全性和合规性要求（数据中心行业）。· 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 Ecodatacenter 生成和管理与其自身采购活动相关的专有数据，包括正式的招标要约。这个高度特定、基于文本的数据集是 GovTech 和采购情报供应商寻求在真实世界文档上训练招标情报模型的首选资产。在全球采购分析市场预计每年增长 16.0% 的情况下，这个稀有的数据集为理解复杂、高价值的投标提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity86
主导的“采购”，行业其他，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 Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
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 Demand90
AI 买家需求旺盛，这得益于全球采购分析市场对竞争性洞察的需求，该市场正以 16.0% 的复合年增长率扩张。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility14
高难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 种证据类型，4 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，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 Orientation22
0 个数据胃口信号（0 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 Audit50
⚠ 审查 — Ecodatacenter 的核心业务是提供数据中心托管和高性能计算基础设施，而不是出售作为其他运营业务副产品的专有数据。问题：公司的核心产品是数据中心服务（托管、HPC），这是一种“销售情报/基础设施”的形式，而不是休眠数据；公司的业务模式是托管其他公司的数据和计算，而不是生成自己独特的操作数据集；初步的线索信息“公共采购数据集”在其网站上未得到证实；他们的业务是物理数据中心；他们的收入来源之一是出售废热，这是副产品，但不是数据。
- Deep Qualification80
✓ 通过 — Ecodatacenter 是一家数据中心运营商，销售托管和批发服务，而不是数据销售商；假设的采购数据集是其建设和运营设施的核心业务的合理副产品。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Procurement / tenders
基于文本的证据证实了持有方直接参与公共采购，特别是发布了金融工具的正式招标要约，这是训练模型处理法律和金融招标语言的宝贵资产。
IoT / sensor data
这些时间序列数据证明了持有方能够生成关于客户 IT 负载的细粒度、实时物联网数据，这是与高科技采购相关的高级数据基础设施的信号。
Industrial data
这些证据表明收集了工业数据流，跟踪能源再利用等复杂的运营指标，证明了持有方管理着大规模、资本密集型项目的数据。
Event streams
这个样本表明持有方跟踪其核心平台的高流量事件流，记录了数百万个作业及其产生的输出，这可以作为项目活动和资源分配的代理。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Ecodatacenter Public Procurement — a Moderate public procurement dataset (Text modality) in the other domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics market was valued at $4.7 billion in 2025, projected to grow at a 16.0% CAGR (2026-2035). [2]. Investment score 45.0/100 (confidence 0.56). Recommended action: Acquire.
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