Dataset opportunity
Koningsdrinks — 工业运营数据集机会
Koningsdrinks 持有的中等工业运营数据集，可用于工业监控和预测。
Score
65.3
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
44%
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)
全球工业分析市场在 2025 年的估值为 339.9 亿美元，预计到 2030 年将以 18.9% 的复合年增长率增长。[4, 6]。
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
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能集成商
Koningsdrinks 持有源自其工业运营的大量时间序列数据，包括基于传感器的 `industrial_data` 和详细的 `inspection_records`。这些来自 7 个生产设施的精细、真实的运营数据直接适用于先进的工业监控和预测性维护人工智能模型，全面展示了机械性能和生产线效率。
此数据集价值非凡，可进入快速增长的工业分析市场，该市场在 2025 年的估值为339.9 亿美元，预计将以 18.9% 的复合年增长率扩张。[4, 6] 虽然访问需要克服某些复杂性——例如流程数据的专有性质、客户保密协议以及数据分布的位置——但其稀有的质量和对开发高性能人工智能解决方案的战略重要性使其成为一项引人注目的资产。[8] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：专有工业流程数据不同于客户拥有的饮料配方；与主要 A 品牌签订的合同保密协议可能会限制特定产品数据的共享；数据分布在 4 个国家的 7 个专业生产设施中 · 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 Koningsdrinks 拥有其大规模工业运营中大量专有的时间序列数据，包括 19 条生产线，处理玻璃瓶、PET 和罐装等各种包装。这种精细的运营数据是工业人工智能集成商开发预测性维护和流程优化解决方案的高价值资产。在一个年增长率接近 19% 的市场中，此数据集提供了一个难得的机会，可以在真实、大批量制造信号上训练和验证工业监控模型。
See dimension details ↓- Dataset Specificity78
主导的 'industrial_data'，行业工业，2 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
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 条证据
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 Value74
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求异常高，这得益于工业分析市场的快速增长，该市场正以 18.9% 的复合年增长率扩张，以满足对数据驱动的运营效率的需求。[4, 6]
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 Strength53
2 种证据类型，3 条证据
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 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 Audit83
✓ 良好目标 — 这家饮料代加工商拥有广泛的工业运营，产生专有数据作为副产品，并且似乎不销售数据或情报，使其成为一个强有力的匹配项。问题：该公司约有 800 名员工，营业额为 2.65 亿欧元，这使其处于中小型企业定义的较大一侧，接近大型企业。[8]；它是一个跨国集团，在 4 个国家设有分支机构，这可能会增加复杂性。[6, 8]
- Deep Qualification80
✓ 通过 — Konings 是一个强大的数据持有者候选者，拥有合理的工业运营数据，但由于其为主要品牌的代加工模式，所有权和使用权很复杂，需要仔细谈判。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据表明拥有来自 19 条不同生产线的精细时间序列数据，具有高产能，这是训练预测性维护和流程优化模型的基石资产。
Inspection reports
这些证据表明存在工业试验的质量控制文件，这些文件提供了重要的地面真实标签，用于根据实际生产事件验证异常检测模型。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Koningsdrinks Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Analytics market was valued at $33.99 billion in 2025, projected to grow at a CAGR of 18.9% to 2030 (source: The Business Research Company). [4, 6]. Investment score 65.3/100 (confidence 0.44). Recommended action: Acquire.
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