Dataset opportunity
Moonsurgical — 传感器遥测数据集机会
由 Moonsurgical 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
66.1
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
46%
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
全球预测性维护市场 = 2025年149.3亿美元，复合年增长率32.32%（2026-2035年）
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-02
Petal Surgical adds more funding for incisionless surgical robot
therobotreport.com ↗ - 📰press2026-05-29
J&J recalls Impella heart pumps after patient dies
medtechdive.com ↗ - 📰press2026-05-28
Ōura to add blood pressure feature following FDA policy change
medtechdive.com ↗
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.
- 📦Data product
Maestro Insights 云端分析平台
source ↗
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（PII审查）
Buyer persona
工业AI和维护优化供应商
Moonsurgical 拥有一个丰富的传感器遥测数据集（模式：时间序列），该数据集来源于物联网数据和医疗记录，收集自医疗保健环境。这种独特的组合提供了关于医疗设备性能和患者生理参数的精细、连续的洞察，使其对于预测性维护应用具有极高的价值。通过分析这些时间模式，可以预测潜在的设备故障，优化维护计划，从而确保运营的连续性和患者安全。
此类数据的市场需求旺盛，全球预测性维护市场在2025年估值为149.3亿美元，预计到2035年将达到2457.3亿美元，复合年增长率（CAGR）为32.32%。医疗保健领域被认为是该市场中增长最快的。尽管访问GDPR敏感数据、与医疗保健提供者在医院环境中协商特定协议以及通过匿名化要求解决患者隐私问题存在固有的复杂性，但其在减少停机时间和改善患者预后方面的巨大商业价值使得该数据备受追捧。⚠ 尽职调查（有价值的数据，可协商访问）：由于医疗保健背景，数据属于GDPR敏感数据；在医院环境中生成的数据需要与医疗保健提供者签订特定协议；可能存在患者隐私问题和匿名化要求 · 企业性质：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
此机会提供了访问 Moonsurgical 先进手术平台专有传感器遥测数据的途径，直接解决了高风险医疗保健环境中对预测性维护的关键需求。该数据集有捕获术中数据、手术室环境指标和运动学数据的证据，使其在赋能工业AI和维护优化供应商方面具有独特优势。它为快速扩张的全球预测性维护市场中的运营效率和设备性能提供了一个难得的窗口，该市场预计到2025年将达到149.3亿美元。
See dimension details ↓- Dataset Specificity78
主导的'物联网数据'，医疗保健领域，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 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
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
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
全球医疗保健AI市场，严重依赖传感器遥测数据进行预测性维护等应用，预计在2026年至2034年期间将以43.96%的复合年增长率增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 Strength56
2种证据类型，4个命中
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=自有，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 Orientation39
1个数据需求信号（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，3个近期外部信号 — 超出已货币化部分的专有数据
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 Audit67
⚠ 审查 — Moonsurgical 不是一个好的目标，因为其核心业务涉及销售提供AI驱动分析和洞察力的手术机器人给医疗保健提供者，这意味着他们已经将从其数据中提取的智能作为产品出售。问题：Moonsurgical 的 Maestro 系统包括“术中分析和数字手术室洞察”以及“Maestro Insights”，一个基于云的分析平台，该平台整合；该公司明确表示他们“赋能医疗保健提供者
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
此证据证实 Moonsurgical 从活体手术过程中收集时间序列传感器遥测数据，包括术中数据、手术室环境指标和运动学数据，这对于寻求开发预测性维护和运营效率解决方案的供应商来说极具价值。
Medical records / imaging
此数据类型表明 Moonsurgical 能够访问来自2,300多例患者治疗的基于图像的医疗记录和程序指标，为理解手术结果及其平台在各种临床适应症中的广泛应用提供了关键背景。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance use cases, with restrictions on redistribution and secondary sales.
Personal data
Contains 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 value is driven by its proprietary, high-granularity sensor telemetry from surgical devices and patient data, crucial for predictive maintenance in the rapidly growing healthcare sector. The strong market demand for predictive maintenance, with a projected CAGR of 32.32%, underpins its significant valuation.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Moonsurgical Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the healthcare domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = USD 14.93 Billion in 2025, CAGR 32.32% (2026-2035). Investment score 66.1/100 (confidence 0.46). Recommended action: Data Sharing Agreement.
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