Dataset opportunity
Mediservice — 数据集机会：维护日志
Mediservice 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
66.5
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
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在 2025 年的估值为 136.5 亿美元，预计将以 24.30% 的复合年增长率增长。
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
MediMES 平台，用于医疗设备的生命周期管理
source ↗
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
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（个人身份信息审查）
Buyer persona
工业人工智能与维护优化供应商
Mediservice 持有一个全面的维护日志数据集，来自医疗保健资产，结构为时间序列。该数据集整合了 `inspection_records`（检查记录）、`iot_data`（物联网数据）和详细的 `maintenance_logs`（维护日志），为训练预测性维护模型以预测医疗环境中的设备故障提供了丰富、高保真的基础。
此数据极具价值，目标是全球预测性维护市场，该市场在 2025 年的估值为136.5 亿美元，预计将以24.30% 的复合年增长率增长。虽然访问需要克服 Vebego Group 的治理、共享的客户所有权以及高度的 GDPR 敏感性，但该工业数据的稀有性及其对高增长人工智能用例的直接适用性，使其成为专业买家的重要资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：Vebego Group 的子公司，需要集团层面的数据治理批准；数据所有权与拥有物理资产的医疗保健客户（医院）共享；由于医疗环境，GDPR 敏感性高，即使数据主要是技术/工业数据。· 公司：Vebego 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Mediservice 持有其医疗技术管理服务产生的维护日志和物联网数据的专有数据集。这种高稀有度的时间序列数据是人工智能供应商构建预测性维护模型以预测设备故障和优化服务计划的关键资产。在一个预计年增长率超过 24% 的全球市场中，该数据集提供了详细的预防性、纠正性和安全检查历史记录，以获得竞争优势。
See dimension details ↓- Dataset Specificity90
占主导地位的“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 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 Demand85
人工智能买家需求由关键行业运营效率的迫切需求驱动，该市场以 24.30% 的复合年增长率增长，而此类时间序列维护数据是必不可少的原材料。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Feasibility0
高难度，Vebego 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 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
Vebego 的子公司
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 Surplus92
盈余=高 — 超出已货币化数据的专有数据
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 Audit92
✓ 良好目标 — 这家独立于制造商的医疗设备和医疗设施技术安装维护与服务提供商是完美契合，因为维护日志是其核心运营业务的直接副产品。问题：不同国家和行业的“Mediservice”名称下有多个公司运营（例如，意大利的一家 CRO，法国的一家医疗设备销售商，一家健康；未找到具体的员工人数，但其服务诊所、合作伙伴关系和近期战略合作的业务模式表明它是一家中小型企业。
- Deep Qualification80
⚠ 需要审查 — Mediservice 是一个强大的数据持有者，拥有高度一致的预测性维护数据集，但数据所有权归其医疗保健客户所有，并受 GDPR 管辖，这使得访问和货币化变得复杂。[数据归公司客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Maintenance logs
这些证据证实了详细记录预防性和纠正性维护操作的结构化日志的存在，为人工智能供应商训练预测性维护模型提供了基础时间序列数据。
IoT / sensor data
这指向来自托管设备服务 (MES) 系统的时序数据，提供持续的设备状态洞察，这对于丰富维护日志和检测故障前异常至关重要。
Inspection reports
这证实了法定安全检查记录的存在，这些记录提供了关键的、带时间戳的合规事件，为每台医疗设备的运行历史增加了重要的背景信息。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Mediservice 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 was valued at $13.65 billion in 2025, projected to grow at a CAGR of 24.30% (source: Fortune Business Insights).. Investment score 66.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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