Dataset opportunity
Avm Services — 维护日志数据集机会
Avm Services 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
70
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
合作（集团层面）
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 = 2025 年为 142 亿美元，复合年增长率为 27.9%。
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
维护日志数据集
Modality
时间序列
Sector
医疗保健
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
工业人工智能与维护优化供应商
Avm Services 持有一个全面的时间序列数据集，该数据集源自其为英国国民医疗服务体系 (NHS) 进行医疗设备维护的运营。数据包括详细的维护日志、检查记录和历史合规数据，使其可以直接用于开发和验证预测性维护模型，以预测设备故障并优化服务计划。
预测性维护的全球市场正在迅速扩张，这表明此类数据具有重要价值。该市场在 2025 年的估值为142 亿美元，预计将以 27.9% 的复合年增长率增长。[10] 虽然访问涉及复杂的导航，因为数据源自 NHS Trust 和高度监管的医疗设备标准，但其稀有性和深度为旨在为医疗保健领域创建高精度模型的 AI 买家提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：NHS Trust 的全资商业子公司；数据涉及高度监管的医疗设备合规性和安全标准；特定验证报告的所有权可能与客户医院共享 · 公司：剑桥大学医院 NHS 基金会信托基金的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Avm Services 拥有专有的时间序列数据集，详细说明了专用生物医学设备的维护和性能。这些数据直接服务于高增长的预测性维护市场，使工业人工智能供应商能够开发优化设备正常运行时间和减少故障的模型。随着全球预测性维护市场预计到 2025 年将达到 142 亿美元，这一独特的医疗保健数据集为培训和验证工业人工智能解决方案提供了显著的竞争优势。
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 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
AI 买家需求极高，受市场驱动，预计复合年增长率为 27.9%，因为医疗保健提供商越来越多地采用预测分析来优化设备正常运行时间和安全性。[10]
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 Feasibility15
中等难度，剑桥大学医院 NHS 基金会信托基金的子公司
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 个命中
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=公司所有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
剑桥大学医院 NHS 基金会信托基金的子公司
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 Audit92
✓ 良好目标 — 这是一个好目标；它是英国 NHS 内的一个商业实体，提供运营去污服务和培训，由此产生的专有维护和验证日志是副产品，而且它似乎不将此数据或衍生情报作为核心产品出售。[3, 6, 7, 10] 问题：该公司是剑桥大学医院 NHS 基金会信托基金（一个大型公共实体）内的商业部门。[3, 6, 10] 这种混合公共
- Deep Qualification90
⚠ 需要审查 — AVM Services 为医疗设备提供去污和维护服务，主要面向 NHS 信托基金。维护日志是该活动的一个合理副产品，但它们是在为客户（医院信托基金）提供服务的过程中生成的，因此由该客户拥有。该公司的隐私政策明确表示，未经许可不会出售或分发个人信息，因此他们极不可能许可这些运营数据。[数据归其客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Maintenance logs
这些证据证实存在高价值生物医学设备的时间序列维护日志，提供了培训预测性维护算法所需的关键历史数据。
Inspection reports
这些是来自定期设备审计的结构化验证报告，提供了关键的真实数据和性能标签，用于监督和验证机器学习模型。
Industrial data
这表明存在来自物理和微生物测试的详细时间序列数据，这些数据可以作为强大的特征来提高故障预测模型的准确性。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Avm Services 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 = $14.2B in 2025, CAGR 27.9% (source: Grand View Research). Investment score 70.0/100 (confidence 0.49). Recommended action: Partnership (group-level).
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