Dataset opportunity
Aktiia — 传感器遥测数据集机会
Aktiia 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
68.8
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
74%
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 143.1 亿美元,复合年增长率 30.5% (2026-2035)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
J&J, Medtronic back CereVasc’s $85M funding round
medtechdive.com ↗ - 📰press2026-06-05
Olympus’ Keith Boettiger on robotic GI surgery push
medtechdive.com ↗ - 📰press2026-06-05
Dexcom buys Nutrisense; Insulet rolls out patch pump update
medtechdive.com ↗ - 📰press2026-06-04
Can surgical robots fly? SS Innovations discusses challenges, solutions
therobotreport.com ↗ - 📰press2026-06-04
More Americans own wearables, connected health devices: survey
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
中等
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
Aktiia 拥有传感器遥测数据集,包含源自医疗设备的时间序列数据,提供对医疗保健应用至关重要的实时生理测量。这些宝贵的数据,涵盖医疗记录和物联网数据,非常适合预测性维护,因为它能够识别设备性能或患者健康的模式和异常,从而实现主动干预。该数据集的丰富性支持高级人工智能分析,以预测潜在问题在升级之前。
此类数据的市场正在经历显著增长,全球医疗保健数据货币化市场在 2024 年的估值为9.983 亿美元,预计到 2034 年将达到40.7714 亿美元,复合年增长率为 18.2%。此外,更广泛的预测性维护市场在 2025 年的估值为143.1 亿美元,预计到 2035 年将达到2050 亿美元,复合年增长率为 30.5%,其中医疗保健领域预计将以31.0% 的复合年增长率增长。尽管存在严格匿名化、假名化、强大的同意管理和遵守监管合规性(GDPR、FDA、CE 标志)的复杂性,但人工智能买家对数据驱动的洞察的高需求使该数据集异常有价值。⚠ 注意(有价值的数据,可协商的访问权限):数据包含高度敏感的个人健康信息 (PHI),需要严格的匿名化、假名化和强大的同意管理才能进行任何许可或共享;监管合规性(GDPR、医疗器械法规、FDA、CE 标志)对于任何数据许可或使用都至关重要,特别是考虑到其医疗器械的地位;用户内容所有权仍归用户所有;任何数据许可都必须清楚地区分原始用户数据与 Aktiia (Hilo) 控制的派生/聚合/匿名化见解。· 公司:独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Aktiia 持有卓越的时间序列数据集合,包含来自 70,000 多名用户的 100 亿多条信号,为高级人工智能模型开发提供了坚实的基础。该广泛的数据集捕捉了复杂的生理模式,为工业人工智能和维护优化供应商提供了显著价值。它能够训练和验证旨在检测细微异常和预测关键事件的预测性维护算法,这在预计到 2025 年将达到 143.1 亿美元的市场中至关重要。
See dimension details ↓- 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. - Dataset Specificity78
占主导地位的 'iot_data',医疗保健行业,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 Rarity46
专有领域数据(公开会降低稀有度)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume98
8 条证据命中,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/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Buyer Demand92
全球人工智能在医疗保健市场(此类数据的主要买家群体)的复合年增长率预计将从 2024 年到 2032 年增长 37.1%,达到 3171 亿美元,而预测性维护市场中的医疗保健细分市场也显示出增长趋势。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
公开/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility32
高难度,独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
6 种证据类型,8 条命中
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 数据需求信号(0 类型)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高,5 条近期外部信号 — 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 Audit75
⚠ 审查 — Aktiia(品牌重塑为 Hilo)是一家资金充足的中小型企业,收集了大量的专有传感器遥测数据,但其核心业务是提供源自这些数据的人工智能驱动的见解和数据服务,使其不适合作为休眠数据市场的目标。问题:Aktiia 的核心业务被描述为“血压智能平台”,其使命是提供“关于血压管理的突破性见解;他们明确提供‘人工智能驱动的预测性’
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是核心资产:Aktiia 拥有海量的物联网时间序列数据,包含来自数万名用户的100 亿多条信号,使其在训练预测算法方面具有极高的价值。
Public datasets
这些证据表明 Aktiia 在分析和呈现与血压相关的公众认知数据方面拥有专业知识,为战略规划提供了宝贵的市场情报。
Downloads / exports
这表明 Aktiia 能够基于其数据生成和分发专有报告,为更广泛的受众提供可访问的市场洞察。
Data-volume signal
这突显了 Aktiia 能够大规模捕获和分析多模态数据的能力,揭示了血压行为中对深度分析模型至关重要的细粒度、亚表面模式。
Medical records / imaging
这证实了 Aktiia 直接收集了包括血压、体重和心率在内的各种健康数据,为高级生理建模提供了丰富的背景信息。
Data catalog / marketplace
这展示了 Aktiia 基于其专有数据发布多模态报告的能力,展示了其分析见解和市场理解。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time (implies ongoing collection)
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for AI analytics and predictive maintenance use cases.
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 large volume of real-time, high-fidelity sensor telemetry from medical devices, crucial for AI-driven predictive maintenance in the rapidly growing healthcare sector. Demand is high from Industrial AI and maintenance optimization vendors targeting a market projected for significant CAGR.
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
Aktiia 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 = USD 14.31 billion in 2025, CAGR 30.5% (2026-2035). Investment score 68.8/100 (confidence 0.74). Recommended action: Data Sharing Agreement.
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