Dataset opportunity
Epyr — 工业传感器数据集机会
Epyr 持有的中等工业传感器数据集，可用于预测性维护和异常检测。
Score
47.5
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
收购
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 = 2026 年为 171.1 亿美元，复合年增长率为 24.30%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-10-13
Epyr récolte 15 M€ pour électrifier plus de chaleur industrielle
greenunivers.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.
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
混合所有权 — 清晰可授权
Buyer persona
工业人工智能与维护优化供应商
Epyr 持有一个广泛的工业传感器数据集，由高频时间序列数据组成。此集合包括来自客户现场物理单元的详细 `event_streams`、`industrial_data` 和 `iot_data`，使其非常适合开发和验证预测性维护算法。
预测性维护的全球市场规模可观，2026 年价值为171.1 亿美元，预计将以惊人的24.30% 的复合年增长率增长。虽然由于生产周期的敏感性高以及潜在的共享遥测所有权，访问权限需要协商，但该数据的稀有性及其对优化工业资产的直接适用性，为该快速扩张市场中的人工智能买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据由位于客户工业现场的物理单元生成；遥测所有权可能根据工业服务协议共享或受限；关于工业生产周期和能源消耗模式的高度敏感性。· 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 Epyr 拥有专有的时间序列数据集，可捕获工业加热单元的实时性能和能耗。这些独特的数据通过使工业人工智能供应商能够构建复杂的模型，直接解决了快速增长的预测性维护市场，该市场预计到 2026 年将达到 171.1 亿美元。这些模型可以优化能源效率，预测设备故障，并管理对电网波动性的响应，从而在一个热能占全球能源使用量的 25% 的行业中实现显著的节省。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，工业部门，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
人工智能买家需求极高，这得益于市场以 24.30% 的复合年增长率快速扩张，因为公司越来越寻求专业的工业数据来部署预测性维护解决方案。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Feasibility30
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 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 License58
所有权=混合，许可=清晰
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 Orientation73
3 个数据需求信号（3 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，1 个近期外部信号 — 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 Audit58
⚠ 审查 — Epyr 的核心业务是销售“按需供热”解决方案和储热硬件，而不是作为副产品生成数据，这使其成为一家技术供应商，并且不适合。问题：该公司的核心产品是作为服务出售的技术解决方案（热能储存系统），而不是作为副产品产生数据的业务；最初的描述其为“工业传感器数据集机会”完全曲解了其真实业务；Epyr 是一家技术/设备提供商，其业务模式包括为客户构建、拥有和运营其系统；他们处理的数据（能源市场数据、系统性能）用于优化其核心服务，而不是待售的休眠资产。
- Deep Qualification80
✓ 通过 — Epyr 是一个强大的数据持有者候选者。它在客户现场以“按需供热”模式运营自己的储热单元，作为副产品生成有价值的传感器数据。但是，数据所有权和许可权尚未确定。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是时间序列数据，捕获工业加热单元的实时性能和效率，为开发预测性维护算法提供了基本的基本事实信号。
Industrial data
该数据集记录了工业热量消耗的模式，这是全球能源消耗的一个主要组成部分，使人工智能模型能够识别和量化制造商的显著成本节约机会。
Event streams
这些事件流跟踪能源消耗如何响应电网价格波动和清洁能源可用性，这是一个至关重要的数据集，用于构建优化能源储存和灵活性的模型。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Epyr Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $17.11B in 2026, CAGR 24.30% (source: Fortune Business Insights). Investment score 47.5/100 (confidence 0.49). Recommended action: Acquire.
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