Dataset opportunity
Motusnova — 传感器遥测数据集机会
Motusnova 持有的大型传感器遥测数据集，可用于预测性维护和异常检测。
Score
71.3
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
65%
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)
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.
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
医疗保健
Volume
大
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR敏感（PII审查）
Buyer persona
工业人工智能和维护优化供应商
Motusnova 拥有独特的传感器遥测数据集，主要以时间序列模式呈现，包含大量的物联网数据和医疗记录。这一丰富的数据集非常适合预测性维护应用，能够在关键的医疗保健环境中预测设备故障并优化维护计划。
预测性维护市场，尤其是在医疗保健领域，正经历显著增长。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）高达32.32%。尽管涉及患者健康信息 (PHI)、法规遵从性 (HIPAA/GDPR) 和同意管理等复杂性，但该数据在提高患者安全、减少停机时间以及改善运营效率方面的价值使其受到人工智能买家的高度追捧。⚠ 尽职调查（有价值的数据，可协商访问）：患者健康数据 (PHI)；法规遵从性 (HIPAA/GDPR)；二次数据使用的同意管理 · 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Motusnova 拥有一个专有的、高分辨率时间序列数据集，该数据集来源于3,000多台已部署的医疗设备，这些设备被数千名中风幸存者使用。这种独特的遥测数据，捕捉了真实世界的设备性能和患者互动，为专注于预测性维护和优化的AI买家提供了无与伦比的洞察。随着全球预测性维护市场预计到2025年达到149.3亿美元，该数据集对于开发能够提高设备可靠性和用户成果的先进模型具有极高的价值，尤其是在这个快速扩张的领域。其稀有性以及与工业AI应用的直接相关性使其成为一个极具吸引力的机会。
See dimension details ↓- Dataset Specificity90
主导的‘物联网数据’，医疗保健领域，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 Volume86
6个证据命中，明确提及数据量
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 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
全球医疗保健AI市场（包括用于预测性维护等应用的AI数据买家）预计在2024年至2032年间将以37.1%的复合年增长率增长，这表明对相关数据集的需求非常高且不断增长。
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
高难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength89
5种证据类型，6个命中
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 Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0个数据需求信号（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，3个近期外部信号 — 超出已货币化范围的专有数据
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 Audit75
⚠ 审查 — Motusnova 的核心业务是销售人工智能驱动的机器人康复设备，提供个性化治疗和报告，这构成了销售从专有数据中提取的智能，使其不适合作为休眠数据的目标。问题：Motusnova 的核心业务是销售人工智能驱动的康复设备及其衍生的智能（个性化治疗、适应性练习、进展报告）
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
此证据证实了在治疗期间从 Motus 手/足设备收集高分辨率传感器遥测数据（角度、压力），每秒30次读数，存储在时间序列数据库中，并与中风后遗症严重程度标签配对，为设备性能和患者进展的预测分析提供了关键数据。
Industrial data
此证据强调了数据持有者的领导层在不同工业领域拥有董事会级别经验，表明其对与工业AI应用相关的卓越运营和大规模数据管理有深刻理解。
Knowledge base / docs
这表明可以访问患者注册数据和临床医生提供的见解，为理解医疗保健环境中的用户人口统计学和项目依从性提供了宝贵的背景信息。
Medical records / imaging
这表明设备在多样化的患者群体（不同中风严重程度、中风后持续时间、年龄）中的有效性，为理解所收集传感器数据的实际适用性和影响提供了关键背景。
Data-volume signal
这证实了在所有50个州部署了3,000多台设备，被数千名中风幸存者使用，为强大的人工智能模型训练和验证建立了重要且经过验证的真实世界数据集。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, IoT Data
License
One-time license for predictive maintenance use cases, with potential restrictions on redistribution or resale.
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 high rarity, proprietary nature, and direct application to the rapidly growing healthcare predictive maintenance market. The significant market growth and CAGR indicate strong demand for such specialized, real-time telemetry.
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
Motusnova Sensor Telemetry — a Large sensor telemetry dataset (Time Series modality) in the healthcare domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $14.93 Billion in 2025, CAGR 32.32% (2026-2035). Investment score 71.3/100 (confidence 0.65). Recommended action: Data Sharing Agreement.
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