Dataset opportunity
Inbonis — 公共采购数据集机会
Inbonis 持有的海量公共采购数据集，可用于投标情报和文档情报。
Score
78.7
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
70%
Action
数据共享协议
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)
全球采购人工智能市场预计到 2035 年将达到 392.0 亿美元，复合年增长率为 28.00%（2026-2035 年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-04
HSBC beats estimates with US$10.1 billion quarterly profit, announces fresh US$1 billion stock buyback
businesstimes.com.sg ↗
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
金融
Volume
大型
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 受限 · PII/受监管
Buyer persona
GovTech 和采购情报供应商
Inbonis 持有文本模态的公共采购数据集，其中包含敏感的财务报表、私营中小企业的业务记录以及监管和交易数据。这种独特的原始财务数据组合非常适合投标情报用例，使人工智能买家能够进行深入的风险分析并评估竞标公共合同的公司的财务可行性。
全球采购人工智能市场预计到 2035 年将达到约392.0 亿美元，从 2026 年起以惊人的28.00% 的复合年增长率增长。尽管作为ESMA 认证机构存在严格的合规障碍，并且数据具有敏感性质，但其稀有性和深度在该高增长市场中提供了显著的竞争优势，证明了复杂的访问谈判是合理的。⚠ 尽职调查（有价值的数据，可协商访问）：受监管实体（ESMA 认证信用评级机构），具有严格的合规要求；数据包括敏感的财务报表和私营中小企业的业务记录；通过订阅将评级报告货币化，但拥有更大的原始财务数据集。· 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 Inbonis 拥有一项专有数据集，该数据集源自其作为超过 1,200 家中小企业评级市场领导者的核心业务，并拥有一支专门的团队开发公共采购方面的应用情报。这项独特的资产专为寻求为下一代投标情报平台提供支持的 GovTech 和采购情报供应商而设计。在预计复合年增长率为 28% 的采购人工智能市场中，该数据集提供了稀有的专有决策数据来源，以获得竞争优势。
See dimension details ↓- Dataset Specificity100
主导的“采购”，金融行业，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 Rarity70
专有领域数据（公开降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume70
6 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/公开（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
适用于投标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求极高，这得益于采购人工智能市场的爆炸式增长，该市场正以 28.00% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility18
公开/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 Feasibility32
高难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength98
6 种证据类型，6 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License66
所有权=公司所有，许可=受限
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 Orientation90
4 个数据需求信号（4 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 — 超出已货币化范围的专有数据
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. - Deep Qualification90
⚠ 需要审查 — Inbonis 是数据销售商，通过信用评级报告和许可平台进行货币化。虽然数据集与其业务一致，但来自中小企业的原始敏感财务数据受到严格的监管（ESMA）和隐私（GDPR）限制，因此将其转售用于不同用途受到高度限制。[将数据/情报作为核心产品销售；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
持有者提供对其内部方法论和治理文件的访问权限，为进行尽职调查的买家提供数据质量和严谨性的透明证明。
Industrial data
这表明了对关键高管及其公司隶属关系的洞察，这为理解采购生态系统内的决策网络提供了一个有价值的层面。
Procurement / tenders
这些证据直接证实了在开发公共采购方面的应用情报的专注，证明该数据集包含其他地方无法获得的专有分析和见解。
Transaction data
该数据集建立在约 1,200 家中小企业和中型企业的信用评级基础上，提供了对投标参与者财务健康状况的量化、专有视图。
Regulatory records
持有者作为评级发行数量市场领导者的既定地位，为该数据集在训练高风险人工智能模型方面的权威性和可信度提供了第三方验证。
Data catalog / marketplace
数据涵盖了欧洲关键行业和国家的各种公司，确保了为全面、强大的采购情报工具提供支持所需的广度。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Inbonis Public Procurement — a Large public procurement dataset (Text modality) in the finance domain. Primary AI use-case: Tender Intelligence. Market signal: Global AI in procurement market projected to reach $39.20 billion by 2035, with a 28.00% CAGR (2026-2035) (source: Precedence Research). Investment score 78.7/100 (confidence 0.7). Recommended action: Data Sharing Agreement.
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