Dataset opportunity
Greencells — 维护日志数据集机会
Greencells 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
73.1
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
56%
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
全球预测性维护市场在 2024 年的估值为 123 亿美元，预计到 2033 年将达到 688 亿美元，复合年增长率为 29.7%。[7]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-16
Nerius Invest se mue en facilitateur de la décarbonation des PME
greenunivers.com ↗ - 📰press2026-06-16
Energy Dome, Salt River Project to build 19-MW CO2 battery system
utilitydive.com ↗ - 📰press2026-06-16
A New Coal Plant in the U.S.? Once Unthinkable, Now a Strong Maybe
powermag.com ↗ - 📰press2026-06-16
L’hydrogène, les CEE, le mécanisme de capacité au menu du CSE
greenunivers.com ↗ - 📰press2026-06-16
Prix négatifs : le CSE saisi d’une nouvelle évolution de l’obligation d’achat
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
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 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
Greencells 拥有一个重要的时间序列数据集，其中包含广泛的维护日志和工业物联网数据。这些数据收集自庞大的太阳能发电厂组合，代表着遍布 20 多个国家的4.1 GWp 的已安装容量。它提供了设备性能、组件故障和维护干预的详细历史记录，是为可再生能源行业开发和训练强大的预测性维护模型的理想基础。
全球预测性维护市场在 2024 年的价值为123 亿美元，预计将以惊人的29.7% 的复合年增长率增长，这表明人工智能买家存在巨大的需求。[7] 虽然访问 Greencells 的数据需要进行谈判，因为存在 O&M 合同下的数据共享所有权和专有工程基准等因素，但其稀有性和运营深度使其成为一项独特有价值的资产。获取这些数据为在快速增长的太阳能市场中创建先进的人工智能解决方案提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与工厂所有者/投资者在 O&M 合同下共享；来自 20 多个国家/地区的 4.1 GWp 已安装容量的工业物联网数据；技术数据涉及专有工程和性能基准。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Greencells 运营着一个重要的全球可再生能源资产组合，包括遍布192 个项目的4.1 GWp 以上的已安装容量。这种规模产生了来自太阳能运营和先进电池储能系统 (BESS) 的丰富专有时间序列数据流。对于工业人工智能供应商而言，该数据集是训练和验证预测性维护模型的直接来源，在快速扩张的能源优化市场中提供了关键的竞争优势。
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 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 Demand95
维护日志数据集的需求由全球预测性维护市场驱动，该市场在 2025 年的价值为 149.3 亿美元，预计到 2035 年将达到 2457.3 亿美元，复合年增长率高达 32.32%。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
开放/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 Feasibility4
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 Strength74
4 种证据类型，4 个命中
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 — 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 — Greencells 是一个强有力的目标，因为其核心业务是为太阳能发电厂提供 EPC 和 O&M 服务，从而产生有价值的维护和运营数据作为未货币化的副产品。问题：该公司拥有 300 多名员工，处于中小企业定义的上限，并被 Zahid Group 收购，Zahid Group 是一个大型家族企业。[2
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
这些证据确立了 Greencells 作为一家商业上值得信赖且资金雄厚的实体，表明它是企业级人工智能应用的稳定且专业的 डेटा 来源。
IoT / sensor data
这证实了来自大规模工业足迹的大量时间序列数据的生成，超过 4.1 GWp 的已安装容量提供了强大的预测模型所需的原始运营信号。
Maintenance logs
这直接证明了运营与维护 (O&M) 日志的存在，这些日志捕获了对训练预测性维护算法至关重要的关键事件和干预措施。
Industrial data
这突出了来自电池储能系统 (BESS) 的额外高价值数据流，提供了高频信号，非常适合先进的电网优化和资产性能模型。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Historical and Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Proprietary
License
One-time license for internal use in predictive maintenance model development and deployment.
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, covering a significant global solar and BESS portfolio with real-time time-series maintenance logs. The strong growth in the predictive maintenance market, particularly in renewables, indicates high demand for such exclusive industrial data.
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
Greencells Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 12.3 Billion in 2024 and is expected to reach USD 68.8 Billion by 2033, at a CAGR of 29.7%. [7]. Investment score 73.1/100 (confidence 0.56). Recommended action: Acquire.
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