Dataset opportunity
Betterenergy — 工业传感器数据集机会
Betterenergy 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
75.8
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
全球预测性维护市场 = 2025 年为 134 亿美元，复合年增长率为 23.2%（来源：Market.us）。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-16
Lauréat du dernier AO solaire sur bâtiment, Diméo Énergie ouvre son capital
greenunivers.com ↗ - 📰press2026-07-16
La modulation des EnR en hausse au premier semestre, celle du nucléaire baisse [RTE]
greenunivers.com ↗ - 📰press2026-07-16
En juin, les cleantech lèvent plus de 91 M€
greenunivers.com ↗ - 📰press2026-07-16
La plus grande usine de CSR de France démarre
greenunivers.com ↗ - 📰press2026-07-16
Les résultats des principaux producteurs d’énergie renouvelable en 2025
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.
- ✨Signal
专门的“数据中心”业务部门，负责能源密集型数字基础设施
source ↗
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
公司所有 — 可授权许可
Buyer persona
工业人工智能与维护优化供应商
Betterenergy 持有宝贵的工业传感器数据集，该数据集包含从其公用事业规模的太阳能发电场组合中收集的时间序列数据。这些细粒度的iot_data和 industrial_data，包括地理位置上下文，非常适合训练复杂的预测性维护模型，以预测和防止太阳能资产中的设备故障，从而优化正常运行时间和运营效率。
该数据服务于快速增长的预测性维护市场，该市场在 2025 年的价值为134 亿美元，预计将以23.2% 的复合年增长率扩张。[1] 虽然技术访问可能需要 SCADA 或 IoT 网关集成，并且与电网相关的数据可能涉及国家安全或监管敏感性，但这种复杂性凸显了该数据集的稀有性和高内在价值，使其成为针对能源行业的 AI 开发者的战略资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据由公用事业规模的物理资产（太阳能发电场）生成；技术访问可能需要 SCADA 或 IoT 网关集成；与电网相关的数据可能涉及国家安全或监管敏感性 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据表明 Betterenergy 持有专有数据集，详细说明了其公用事业规模太阳能发电场的实时和历史性能。数据捕获了从单个资产发电到电网交互和频率响应的所有内容，使其成为工业人工智能供应商的高价值资产。在预计到 2025 年将达到 134 亿美元的预测性维护市场中 [1]，这种独特的时间序列数据对于构建能够优化能源产量、预测组件故障并提高可再生能源装置盈利能力的模型至关重要。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，行业工业，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，这得益于预测性维护解决方案市场的快速扩张，预计复合年增长率为 23.2%。[1]
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 License92
所有权=已拥有，许可=干净
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 Orientation39
1 个数据胃口信号（1 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 Audit75
✓ 良好目标 — Better Energy 是一家大型可再生能源生产商，拥有并运营着广泛的太阳能发电场组合，作为其核心业务（通过 PPA 出售电力，而非数据）的副产品，产生了宝贵的专有传感器数据。问题：该公司是一家大型企业，拥有 450 多名员工，而非中小企业。[2, 3]；该公司的核心业务是开发和运营太阳能发电场以出售绿色能源，而不是数据或软件。[1, 4, 5]；该公司在 2024 年底/2025 年初进行了财务重组，这可能会影响战略重点。[10]
- Deep Qualification90
⚠ 需要审查 — Better Energy 是一家太阳能发电场开发商和运营商，通过 PPA 出售能源，使其成为指定传感器数据的合理持有者，但它并未将这些数据货币化，并且其近期重点是重大财务重组。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据指向一个丰富的、用于训练预测性维护模型以优化太阳能资产产量的实时和历史能源生成时间序列数据集。
Industrial data
该数据集包括关于电网交互的细粒度时间序列数据，例如频率响应和能量注入，这对于开发确保电网稳定和管理大规模可再生能源车队的先进模型至关重要。
Geospatial data
这些专有表格数据提供了关于环境影响的独特指标，包括土壤健康和生物多样性，为买家提供了强大的差异化优势，用于构建ESG报告和可持续性分析功能。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Betterenergy 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 = $13.4B in 2025, CAGR 23.2% (source: Market.us). [1]. Investment score 75.8/100 (confidence 0.49). Recommended action: Acquire.
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