Dataset opportunity
Microsure — 传感器遥测数据集机会
Microsure 持有的中等传感器遥测数据集，可用于预测性维护和异常检测。
Score
48
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)
全球手术机器人市场在 2024 年的估值为 81 亿美元，预计在 2025-2034 年期间的复合年增长率为 17.2%（来源：Global Market Insights Inc.）。[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.
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
医疗保健
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 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
Microsure 持有其机器人显微手术单元的全面传感器遥测数据集，结合了来自 `iot_data`、`event_streams` 和 `image_collection` 的时间序列数据。该多模态数据集提供高保真度的运动学和操作日志，非常适合开发和验证预测性维护算法，以预测组件磨损并在高风险的手术环境中防止系统故障。
商业价值锚定在快速扩张的全球手术机器人市场，该市场在 2024 年的估值为81 亿美元，预计将以17.2% 的复合年增长率增长。[6] 虽然访问需要应对严格的视频手术医疗隐私法规、运动学数据的共享所有权以及与医院部署单元的集成，但该数据的稀有性和深度为旨在抓住这一高增长市场价值的 AI 买家提供了独特的优势。⚠ 注意事项（有价值的数据，可协商的访问权限）：手术视频数据高度敏感，并受严格的医疗隐私法规约束；运动学数据的所有权可能与临床研究合作伙伴共享；访问需要与医院部署的机器人单元集成 · 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 Microsure 拥有其 MUSA手术机器人系统专有的传感器遥测和操作数据流。该高稀有度数据集非常适合寻求构建先进预测性维护模型的工业人工智能供应商，这些模型可以预测组件故障并优化系统正常运行时间。在一个预计年增长率超过 17% 的手术机器人市场中，这些数据为开发下一代维护解决方案提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，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 Demand90
AI 买家需求异常高，这得益于在以 17.2% 的复合年增长率扩张的市场中对运营可靠性的迫切需求。[6]
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 Feasibility14
高难度，独立
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 License62
所有权=已拥有，许可=GDPR 敏感
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 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 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 Audit75
⚠ 审查 — 该公司的核心业务是开发和销售用于显微手术的高精度机器人系统（MUSA），而不是数据作为副产品产生的业务。问题：该公司的核心产品是 MedTech 硬件设备，即 MUSA 手术机器人。[3, 5, 8]；该公司的商业模式是该机器人系统的商业化和销售，而不是产生数据的服务或运营。[3, 17]；该公司是一家产品供应商，其核心业务是销售智能/机器人技术，这属于明确的排除标准；有几家公司名称相似；目标是荷兰的 Microsure，而不是佐治亚州美国的 Microsure LLC，或 microSURE™ 消毒剂 b
- Deep Qualification80
⚠ 需要审查 — Microsure 是一家医疗设备制造商，销售/租赁其 MUSA 手术机器人，而不是数据经纪商。传感器遥测数据的生成是其核心业务的合理副产品。然而，这些数据高度敏感（GDPR），其所有权复杂，可能在 Microsure 和客户医院之间混合，这给第三方数据获取带来了重大障碍。[商业模式 = 工具供应商]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据指向机器人控制界面的精细时间序列数据，捕获了操纵杆移动和颤抖过滤调整，这对于模拟关键机电组件的性能和磨损至关重要。
Image collection
这证实了完整的手术控制台和用户环境的存在，提供了上下文数据，可以将操作员会话模式与硬件使用情况相关联，以进行维护优化。
Event streams
这表明了系统开发和研究事件的连续流，提供了关于系统更新和性能随时间变化的宝贵纵向数据，这对于构建健壮且面向未来的AI 模型至关重要。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time (rolling)
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance model development and validation, with restrictions on data redistribution and use in non-clinical settings.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's high rarity as proprietary sensor telemetry from surgical robots, combined with strong demand from the rapidly growing surgical robotics market (valued at $8.1 billion in 2024), drives its significant valuation. Predictive maintenance applications in this high-stakes sector command a premium.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Microsure Medical Imaging — a Moderate medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI-enhanced surgical video analytics market = $2.8 billion in 2025, CAGR 18.7% (source: Dataintelo). [9]. Investment score 68.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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