Dataset opportunity
Globalsourcingservices — 公共采购数据集机会
Globalsourcingservices 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
69.2
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
全球采购分析市场在 2022 年的估值为 38 亿美元，预计复合年增长率为 23%（2023-2032 年）（来源：Global Market Insights, Inc.）
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-22
Trump’s tariff on drugs targets one of the world’s most globalized supply chains
freightwaves.com ↗ - 📰press2026-07-22
Trump restricts supply chain waivers for US defense industrial base
manufacturingdive.com ↗ - 📰press2026-07-22
Trump maps out 200% tariffs for generic pharmaceuticals
supplychaindive.com ↗ - 📰press2026-07-22
On-demand 3D printing for apparel can cut waste, costs: Variloom
manufacturingdive.com ↗ - 📰press2026-07-21
JetZero inks EXIM $3B request for North Carolina plant funding
manufacturingdive.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.
- ✨Signal
参与“Einkauf 4.0”（采购 4.0）工作组活动
source ↗
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
政府科技与采购情报供应商
Globalsourcingservices 持有专门的公共采购数据集，数据模态为文本，包含广泛的工业数据、采购记录和监管文件。这些结构化信息直接适用于训练用于招标情报的 AI 模型，使系统能够识别相关招标、预测竞争对手投标策略并优化提案内容。
该数据的商业价值在全球采购分析市场中得到凸显，该市场在 2022 年的估值为38 亿美元，预计将以惊人的 23% 的复合年增长率增长。 [2] 虽然访问需要导航专有的供应商审计日志、客户保密协议以及中国供应商的跨境数据传输考量，但由 AI 驱动的采购工具的高增长市场使得协商访问此宝贵数据集成为一项战略要务。 ⚠ 尽职调查（有价值的数据，可协商访问）：专有的供应商审计日志和绩效历史可能存储在内部管理系统中；与制造客户的保密协议可能限制访问特定产品设计或物料清单；关于中国供应商网络的数据可能涉及跨境数据传输考量。 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Globalsourcingservices 持有一个专有数据集，详细说明了端到端的工业采购生命周期，特别关注中国的电子制造。该数据记录了供应商网络、质量保证协议和生产流程，提供了对关键全球供应链的稀有真实视图。对于快速增长的采购分析市场中的 AI 买家而言，该数据集是构建先进招标情报模型的强大资产，并获得显著的竞争优势。
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 Demand95
AI 买家需求极高，这得益于采购分析市场以 23% 的复合年增长率快速增长，因为 AI 对于处理此数据以获取招标情报至关重要。[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 Feasibility30
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 License70
所有权=已拥有，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 Orientation39
1 个数据胃口信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等，5 个近期外部信号 — 专有数据超出已货币化的范围
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 Audit92
✓ 良好目标 — 这家瑞士制造和采购服务提供商拥有关于供应链、生产和物流的有价值的专有数据，这是其核心运营业务的副产品，使其成为一个有力的目标。问题：最初的采购描述中提到的“公共采购数据集”是不正确的；该公司的实际业务是为客户提供制造、工程和
- Deep Qualification90
⚠ 需要审查 — 该目标是一家为中国私人采购提供服务的提供商，而不是“公共采购数据集”的持有者；它持有的数据与私人供应链相关，并且可能受到客户保密协议的限制。[许可受限；数据集类型与实际活动不符：该公司的既定业务是为客户管理中国的私人采购和制造，重点是电子元件，而不是参与或收集有关公共政府招标的数据。[3]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Procurement / tenders
这些证据指向一个经过审查的中国工业制造供应商网络数据集，这对于帮助客户降低风险和优化其全球采购策略的平台至关重要。
Regulatory records
此样本表明存在详细的质量保证和审计记录，为评估供应商可靠性和供应链合规性的 AI 模型提供了宝贵的数据。
Industrial data
这证实了该数据集专注于高价值的电子制造，包括PCB等组件的工艺数据，这对于构建围绕生产时间和成本的预测模型至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Globalsourcingservices 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 $3.8 billion in 2022, with a projected CAGR of 23% (2023-2032) (source: Global Market Insights, Inc.). Investment score 69.2/100 (confidence 0.49). Recommended action: Acquire.
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