Dataset opportunity
Eolink — 传感器遥测数据集机会
Eolink 持有的中等传感器遥测数据集，可用于预测性维护和异常检测。
Score
48
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规模在 2025 年为 136.5 亿美元，预计到 2034 年将增长到 973.7 亿美元，复合年增长率为 24.30%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-10-07
Eolien flottant : Eolink en redressement judiciaire
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
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
混合所有权 — 许可清晰
Buyer persona
工业人工智能与维护优化供应商
Eolink 拥有源自其创新浮动风力涡轮机原型的宝贵传感器遥测数据集。这些高保真时间序列数据，包含运营中的工业数据和物联网数据，非常适合开发和训练复杂的 AI 模型，用于风能资产的预测性维护，从而能够预测组件故障并优化维护计划。
预测性维护的全球市场正在经历显著扩张，预计将从 2026 年的 171.1 亿美元增长到 2034 年的 973.7 亿美元，显示出强劲的 CAGR 为 24.30%。这凸显了 Eolink 运营数据集的巨大商业价值和稀有性。尽管由于公司法院命令重组和潜在的数据共同所有权问题带来了法律复杂性，但目前的紧急情况为旨在在高增长可再生能源领域获得战略优势的买家提供了一个独特的收购机会。⚠ 尽职调查（有价值的数据，谈判机会）：公司于 2026 年 10 月进入法院命令重组（redressement judiciaire），使得资产收购/许可变得紧急但法律上复杂；来自 SEM-REV 测试站点的运营数据可能涉及与 Centrale Nantes 和 Valorem 的共同所有权或访问权。· 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 Eolink 拥有专有的时间序列数据集，捕获了其创新浮动风力涡轮机的运行应力和结构完整性。这种独特的传感器遥测，结合了工业和物联网来源，是 AI 供应商开发用于复杂海上能源领域的预测性维护解决方案的关键资产。随着全球预测性维护市场预计到 2034 年将增长到 973.7 亿美元，该数据集提供了一个难得的机会，可以对真实世界的资产性能和故障模式数据进行模型训练。
See dimension details ↓- Dataset Specificity62
主导的'物联网数据'，行业其他，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 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 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 Demand90
由于预测性维护市场以 24.30% 的复合年增长率快速增长，AI 买家对这种数据类型的需求极高。
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 Feasibility14
高难度，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 Orientation56
2个数据胃口信号（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，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 Audit67
⚠ 审查 — Eolink 的核心业务是开发和专利浮动风力涡轮机技术，而不是运营资产，并且该公司目前正处于法院命令重组中，正在寻找买家，这使其成为一个糟糕的目标。问题：该公司的核心产品是浮动涡轮机本身的设计和工程专利，而不是数据作为副产品产生的运营业务。[;该公司正处于法院命令重组中，并积极寻找其资产和设计能力的买家，这表明存在财务困境和；他们的商业模式侧重于硬件技术的研发、工程和最终工业化，他们旨在出售或许可，而不是运营；“传感器遥测数据集”很可能是其商业前原型用于研发和设计验证的数据，而不是来自规模化、重新
- Deep Qualification90
✓ 通过 — Eolink 是一家技术开发商，而不是数据销售商，其运营遥测数据是其活动的可行副产品。然而，该公司法院命令的重组以及与测试站点合作伙伴（Centrale Nantes、Valorem）可能存在的混合数据所有权，创造了一个复杂但紧急的收购环境。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据证实了从 GPS、风速计和惯性单元收集的物联网数据，这对于将环境条件与资产性能相关联以进行稳健的预测性维护模型训练非常有价值。
Industrial data
这些证据证实了从加速度计和应变计收集的高保真工业数据，提供了结构完整性的直接测量，这对于训练 AI 检测异常和预测组件故障至关重要。
business_records
这些文件提供了关键的数据谱系，证实传感器数据是在正式的工程和载荷分析方法下收集的，增加了数据集的信任度和模型的可解释性，以供工业 AI 买家使用。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Eolink Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market size was valued at USD 13.65 billion in 2025 and is projected to grow to USD 97.37 billion by 2034, at a CAGR of 24.30% (source: Fortune Business Insights).. Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
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