Dataset opportunity
Earthmill — 维护日志数据集机会
Earthmill 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
72.1
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
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
全球风力涡轮机预测性维护人工智能市场在 2024 年的估值为 12.4 亿美元，预计到 2033 年将达到 98.3 亿美元，复合年增长率为 22.8%。[8]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-15
Les députés RN reviennent à la charge sur le moratoire éolien et solaire
greenunivers.com ↗ - 📰press2026-06-15
L’énergie, le nerf de la guerre pour les data centers [Dossier]
greenunivers.com ↗ - 📰press2026-06-15
OKWind perd 24 M€, compte sur une recapitalisation
greenunivers.com ↗ - 📰press2026-06-15
« Certains réfrigérateurs dans les criées sont encore au fioul… » [Loïg Chesnais-Girard]
greenunivers.com ↗ - 📰press2026-06-15
Utility sector outlook deteriorates on affordability concerns: Fitch
utilitydive.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
维护日志数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Earthmill 持有一个庞大的时间序列数据集，其中包含其超过 800 台风力涡轮机总计的维护日志和物联网传感器数据。这些工业和物联网数据的集合提供了详细的运营历史，包括部件应力、性能退化和故障事件的记录。其结构非常适合用于预测性维护用例的算法训练，使模型能够在设备发生故障之前进行预测。
在这个快速增长的市场中，这些数据具有极高的价值；全球风力涡轮机预测性维护人工智能市场在 2024 年的估值为 12.4 亿美元，预计将以 22.8% 的复合年增长率 (CAGR) 增长。[8] 虽然存在访问复杂性，例如与涡轮机所有者共享数据所有权以及需要特定的数据共享条款，但该资产的稀有性使其成为一项战略性收购。作为一个独特的跨制造商数据集，它为在这个市场规模的市场中开发强大、与制造商无关的预测模型提供了全面的基础。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能通过运维合同与个体涡轮机所有者共享；访问高分辨率传感器数据可能需要在维护协议中包含特定的数据共享条款；该公司充当 800 多台涡轮机的车队聚合商，创建了一个独特的跨制造商数据集。· 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 Earthmill 拥有其在英国的800 多台涡轮机车队维护日志的专有时间序列数据集。这些数据是工业人工智能供应商开发预测性维护算法的基本真实数据。在预计到 2033 年将达到近 100 亿美元的风力涡轮机人工智能市场中，该数据集直接支持能够减少停机时间、提高性能并抓住这个快速增长的行业份额的模型。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，工业领域，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 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 Demand92
预测性维护市场是维护日志数据集的直接消费者，预计从 2026 年到 2035 年将以惊人的 32.32% 的复合年增长率增长，这表明对所需数据存在巨大且快速增长的需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 License36
所有权=混合，许可=权利不明确
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 Orientation56
2 个数据需求信号（2 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，5 个近期外部信号 — 超出已货币化的专有数据
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 Audit100
✓ 良好目标 — Earthmill 是一个绝佳的目标，其核心业务是运营维护 800 多台风力涡轮机，这作为副产品产生了宝贵、沉睡的维护和性能数据。问题：该公司最近（2026 年 2 月）被 European Green Transition plc 从其前母公司清算中收购，这可能会使决策复杂化；新母公司 European Green Transition 还收购了 Anemos Analytics 的多数股权，一家
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据表明存在用于状况监测的物联网传感器数据，这是预测故障和降低运营成本的人工智能模型的关键输入。
Maintenance logs
这证实了数据集的来源是市场领导者在 800 多台涡轮机上的服务运营，提供了训练和验证准确人工智能模型所需的大规模、真实世界的维护日志。
Industrial data
这些证据指向关于工业维修和升级的结构化数据，这对于训练人工智能推荐特定干预措施以提高性能和延长资产寿命至关重要。
Marketplace
Dataset details
Geographic coverage
UK
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Logs
License
One-time license for internal use in developing predictive maintenance AI models for wind turbines.
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 is highly valuable due to its proprietary nature and direct application in the rapidly growing wind turbine predictive maintenance market. Its real-time freshness and moderate volume of logs from over 800 turbines make it a critical asset for AI vendors.
Detailed schema & sample available on access request.
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Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Earthmill Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: The global Wind Turbine Predictive Maintenance AI market was valued at $1.24 billion in 2024 and is projected to reach $9.83 billion by 2033, growing at a CAGR of 22.8%. [8]. Investment score 72.1/100 (confidence 0.49). Recommended action: Acquire.
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