Dataset opportunity
Geoter — 工业传感器数据集机会
Geoter 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
76.1
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 size (indicative estimate)
全球预测性维护市场在 2024 年的估值为 123 亿美元，复合年增长率为 29.7%（来源：Custom Market Insights）
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
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 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Geoter 拥有宝贵的工业传感器数据集，其中包含来自其多元化工业和地质运营的时间序列数据。此 `geo_data`、`industrial_data` 和 `iot_data` 的集合专门用于开发先进的预测性维护模型，并进一步通过专有的稀有热响应测试 (TRT) 和地质勘测信息得到丰富，提供了独特的分析深度。
全球预测性维护市场代表着一个巨大且快速扩张的机会，估计 2024 年市场规模为123 亿美元，预计复合年增长率 (CAGR) 为29.7%。[4] 虽然访问此数据集需要协商，特别是某些运营数据可能与客户维护合同相关联，但其高价值的技术性质最大限度地减少了 GDPR 限制，使其成为旨在引领这一利润丰厚市场的 AI 买家的关键资产。[4] ⚠ 尽职调查（有价值的数据，可协商访问）：数据包括专有的热响应测试 (TRT) 和地质勘测；运营绩效数据可能受客户维护合同的约束；技术数据为工业/地质数据，最大限度地减少了 GDPR 限制。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Geoter 拥有来自500 多个运营中的地热项目的专有数据集，结合了实时工业传感器数据以及详细的地质和设备规格。这种时间序列和表格数据的独特组合是 AI 供应商构建下一代预测性维护模型的高价值资产。在一个年增长近 30% 的市场中，该数据集提供了一个难得的机会，可以对地面真实运营和故障数据进行算法训练，从而创造显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的'iot_data'，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 Demand95
AI 买家需求异常高，这得益于市场从 123 亿美元的规模以及强劲的 29.7% 的复合年增长率的快速扩张，表明迫切需要采用预测性分析。[4]
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 Feasibility44
低难度，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 Orientation22
0个数据需求信号（0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，3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 — Geoter 是一个好目标，因为它是一家成熟的工程和咨询公司，其核心业务是地热系统的设计和安装，而不是数据或软件的销售，从而产生了宝贵的运营和监控数据作为副产品。问题：有多个不相关的实体名为'Geoter'，包括一家法国 GIS 软件公司和一家罗马尼亚土工合成产品线，这可能会引起混淆；虽然他们参与研发并使用软件进行监控
- Deep Qualification80
⚠ 需要审查 — 目标是一家工程服务公司，而不是数据销售商；虽然'工业传感器数据集'与其地热安装和测试活动高度一致，但数据是为特定客户（例如马德里地铁、BBVA）生成的，这使得所有权和使用权受到限制，并且[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>After decades of ambition and 14 years of construction, Ethiopia’s 5.15-GW Grand Ethiopian Renaissance Dam has become Africa’s largest hydropower project. The 13-unit plant gives Ethiopia a single</p> <p>The post <a href="https://www.powermag.com/gerd-how-ethiopias-blue-nile-vision-became-africas-largest-hydropower-plant/">GERD: How Ethiopia’s Blue Nile Vision Became Africa’s Largest Hydropower Plant</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><img alt="Splash-GERD-Main-Dam-Etiopia-Vinardi-Webuild_c" class="attachment-post-thumbnail size-p”
- “<p>Rencontré lors du salon des industries du sous-sol, ces « Géodays » organisés mi-juin à Pau, Pierre Brossolet, PDG d’Arverne, l’assurait à GreenUnivers : « il y a un moment géothermie en France », un momentum qu’il entend faire durer jusqu’aux élections de 2027. Dans les faits, il s’agit plutôt… d’un moment Arverne. Car ces dernières semaines, […]</p> <p>L’article <a href="https://www.greenunivers.com/2026/07/geothermie-arverne-hyperactif-dans-un-secteur-amorphe-428052/">Géothermie : Arverne hyperactif dans un secteur amorphe</a> est apparu en premier sur <a href="https://www.gr”
- “<p>« Nous nous dirigeons doucement vers un appel d’offres pour les Step* en France» a assuré ce matin Jean-Charles Galland, en charge de l’hydroélectricité au Syndicat des énergies renouvelables (Ser) et directeur général de la Shema (EDF), lors d’une rencontre organisée avec la presse. Une notification préliminaire du soutien public envisagé a été faite auprès […]</p> <p>L’article <a href="https://www.greenunivers.com/2026/06/hydroelectricite-lappel-doffres-pour-les-step-espere-pour-2027-428116/">Hydroélectricité : l’appel d’offres pour les Step espéré pour 2027</a> est apparu en ”
IoT / sensor data
该数据集包括来自活跃地热热泵装置的实时时间序列数据，为训练预测性维护模型提供了必要的地面真实信号。
Geospatial data
持有者拥有详细说明地热特性的专有表格数据，这为提高预测模型的准确性和鲁棒性提供了关键的环境背景。
Industrial data
这些证据证实了来自500 多个项目的丰富技术规格和地质评估集，提供了构建更精细和可扩展维护模型所需的重要元数据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Tabular
License
One-time license for AI model development and internal use. Specific usage rights to be negotiated.
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's value is driven by its high rarity (proprietary, TRT, geological surveys) and direct application to the rapidly growing predictive maintenance market. The moderate volume and real-time freshness further enhance its appeal for AI development.
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
Geoter 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 was valued at $12.3 Billion in 2024, CAGR 29.7% (source: Custom Market Insights). Investment score 76.1/100 (confidence 0.49). Recommended action: Acquire.
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