Dataset opportunity
Crs Medical — 维护日志数据集机会
Crs Medical 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
64.6
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
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)
全球预测性维护市场 = 2024 年为 109.3 亿美元，复合年增长率为 26.5%。
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
维护日志数据集
Modality
时间序列
Sector
医疗保健
Volume
中等
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（需审查 PII）
Buyer persona
工业人工智能与维护优化供应商
Crs Medical 持有一个全面的维护日志数据集，结构为时间序列。这些数据源自 `iot_data` 和 `maintenance_logs`，详细介绍了来自 ZOLL 和 Stryker 等主要制造商的医疗设备的运行性能和服务历史。其格式和内容经过优化，可用于构建和验证预测性维护模型。
全球预测性维护市场在 2024 年的价值为109.3 亿美元，预计将以26.5% 的复合年增长率增长。[15] 虽然商业化此数据需要与母公司 Asker Healthcare Group 一致并遵守制造商协议，但其稀有性以及对这一高增长行业的直接适用性使其具有非凡的价值。高 GDPR 敏感性凸显了该资产的独特性和受控性质。⚠ 尽职调查（有价值的数据，可协商的访问权限）：Asker Healthcare Group 的子公司，需要集团层面的协调才能进行数据商业化；数据涉及医疗设备性能和维护日志，可能受制造商协议（ZOLL、Stryker）的约束；由于设备的医疗性质和潜在的患者互动数据，GDPR 敏感性高 · 公司：Asker Healthcare Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Crs Medical 持有宝贵的时间序列数据，详细说明了关键医疗设备（包括除颤器和复杂的神经生理学系统）的维护和维修情况。该数据集是为医疗保健行业开发预测性维护解决方案的 AI 供应商的重要资产。在一个年增长率超过 26% 的市场中，这些数据提供了优化服务和防止高价值资产停机的真实世界故障模式的地面真相。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，医疗保健行业，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 Rarity58
专有领域数据（开放会降低稀有度）
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 Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
买家需求异常高，这得益于市场对**预测性维护**解决方案的快速增长，该市场正以**26.5% 的复合年增长率**扩张，因为公司寻求最大限度地减少设备停机时间。[15]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
开放/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 Feasibility33
中等难度，Asker Healthcare Group 的子公司
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 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Asker Healthcare Group 的子公司
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 Surplus70
盈余=中等，2 个近期外部信号 — 超出已货币化内容的专有数据
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. - ICP Audit100
✓ 良好目标 — CRS Medical 是一个理想的目标，因为它是医疗设备服务核心业务的中小型企业，其维护日志作为副产品产生，而他们似乎并未将其作为数据产品进行货币化。问题：该公司于 2023 年 10 月被 Asker Healthcare Group 收购，这可能会使决策复杂化，但它似乎作为一个独立的实体运营。[4]；他们开发了一些内部软件，如“CRS MedGate”，用于从救护车实时传输患者数据；必须确认这是否作为工具出售，以及
- Deep Qualification90
✓ 通过 — 目标是一个可信的数据持有者。其核心业务是为医疗设备提供技术服务，使得“维护日志数据集”作为其运营的副产品具有高度可信度。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
这些证据表明持有者拥有技术文档和程序，提供了结构化的表格数据，可以通过设备规格来丰富维护模型。
Maintenance logs
这是特定医疗设备的维护和维修产生的时间序列数据的直接证明，构成了任何预测性维护模型的核心资产。
IoT / sensor data
该公司在集成式互联除颤器 IT 解决方案方面的工作表明存在物联网数据流，这是高级异常检测算法的关键输入。
Medical records / imaging
这证实了数据集的范围包括复杂的、高价值的医疗设备，如脑电图和肌电图系统，使其与专业且利润丰厚的市场领域相关。
press
- “Marché public attribué à PROMED S.A. (large/medium/small). Avis TED 497362-2026.”
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Crs Medical Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the healthcare domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $10.93 billion in 2024, CAGR 26.5% (source: Fortune Business Insights). [15]. Investment score 64.6/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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