Dataset opportunity
Evoenergy — 维护日志数据集机会
Evoenergy 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
67.2
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
56%
Action
合作（集团层面）
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在 2025 年的估值为 142 亿美元，预计 CAGR 为 27.9%（2026-2033 年）。[3]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-31
Germany’s Uniper Locks In Two-Million-Tonne Annual LNG Deal with BC’s Ksi Lisims
businessexaminer.ca ↗ - 📰press2026-07-31
Lightbulb-Inspired Reactor Tackles Three Major Decarbonisation Challenges
fuelcellsworks.com ↗ - 📰press2026-07-31
FlatironDragados-Led Team Begins $6B New Brunswick Hydropower Rehabilitation
enr.com ↗ - 📰press2026-07-31
Italy records 88 zero-price hours in H1
pv-magazine.com ↗ - 📰press2026-07-31
France Selects Five Ports for $300M Floating Wind Investment
oedigital.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
维护日志数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权
Buyer persona
工业人工智能与维护优化供应商
Evoenergy 持有详细的维护日志数据集，采用时间序列模式，整合了其可再生能源装置丰富的工业和iot_data。这些数据包括运行参数、错误代码和随时间变化的维修历史，非常适合开发和训练旨在预测设备故障的预测性维护人工智能模型。
该应用的全球市场巨大且正在快速增长，这使得该数据集极具价值。预测性维护市场在 2025 年的估值为142 亿美元，预计将以 27.9% 的CAGR增长。[3] 尽管存在与 Amazon 等客户的共同所有权、数据匿名化需求以及 Stepnell Group 的批准等访问复杂性，但通过减少运营停机时间和维护成本所带来的战略价值证明了人工智能买家进行谈判的努力是值得的。⚠ 尽职调查（有价值的数据，可协商访问）：数据可能与商业客户（例如 Amazon、Lyreco）共同拥有或受合同限制；需要对特定站点的能源产量进行匿名化；属于 Stepnell Group 的一部分；决策可能涉及集团层面的利益相关者。· 公司：Stepnell Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Evoenergy 拥有来自可再生能源资产（包括太阳能光伏和电池储能系统）的丰富专有维护日志和运营时间序列数据。该数据集是工业人工智能供应商开发预测性维护模型的首要资产，该用例是预计 CAGR 接近 28% 的市场核心。该数据直接提供了对资产寿命、故障模式和性能退化的洞察，从而能够创建高度准确且具有商业价值的优化解决方案。
See dimension details ↓- Dataset Specificity74
主导的“维护日志”，行业其他，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 Volume58
4 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，这得益于降低运营成本的迫切需求以及市场以 27.9% 的 CAGR 爆炸式增长。[3]
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 Feasibility15
中等难度，Stepnell Group 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 种证据类型，4 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 Independence50
Stepnell Group 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 数据胃口信号（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 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 Audit92
✓ 良好目标 — Evoenergy 是一家总部位于英国的中小型企业，从事可再生能源系统的安装和维护，很可能在其核心运营业务的副产品中产生有价值的专有维护和性能数据。问题：该公司提供“优化”服务和客户数据门户，这可能被视为出售情报。[2, 24]；必须核实其“优化”服务是作为核心独立产品出售其数据洞察，还是仅仅为其主要产品增加价值；有一家名称相似的公司“Evo Energy Solutions Ltd”与发送误导性邮件有关，这是一个独立实体，不应与之混淆。
- Deep Qualification80
⚠ 需要审查 — 目标是可再生能源装置的服务提供商，假设的维护日志数据集是其“售后服务”和“优化”服务的连贯副产品；然而，数据是在客户资产上生成的，这使得所有权混合且许可受限，这对收购构成了重大障碍。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
该公司维护着涵盖从建造到售后服务的整个资产生命周期的全面文档，为维护事件和系统设计提供了有价值的文本上下文。
IoT / sensor data
Evoenergy 从数百个商业太阳能光伏系统中生成实时监控数据，提供理想的粒度、高频信号，用于训练故障检测算法。
Industrial data
该数据集包括来自大型电池储能系统的运行数据，捕获关键性能指标，如充电/放电周期和退化，这对于建模资产健康至关重要。
Maintenance logs
持有者拥有可再生能源基础设施的详细维护记录，提供了关于故障模式及其对资产寿命影响的直接历史证据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Evoenergy Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at $14.2 billion in 2025, with a projected CAGR of 27.9% (2026-2033). [3]. Investment score 67.2/100 (confidence 0.56). Recommended action: Partnership (group-level).
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