Dataset opportunity
Muirhallenergy — 地理空间数据集机会
Muirhallenergy 持有的中等地理空间数据集，适用于地理人工智能和路由与预测。
Score
78.8
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
58%
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
全球地理空间分析市场 = 2024 年为 383 亿美元，复合年增长率为 13.6%（2025-2034 年）。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-12
L’agenda de la transition énergétique
greenunivers.com ↗ - 📰press2026-06-11
CloudGrid Energy commence à installer ses centres de données près des centrales EnR
greenunivers.com ↗ - 📰press2026-06-11
La petite hydro se lance sur la réserve secondaire
greenunivers.com ↗ - 📰press2026-06-11
Anne-Catherine de Tourtier réélue présidente de France Renouvelables
greenunivers.com ↗ - 📰press2026-06-11
Solar capacity up 20% from last summer: EIA
utilitydive.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
地理空间数据集
Modality
表格
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
地理空间人工智能与移动分析团队
Muirhallenergy 拥有一个宝贵的地理空间数据集，详细说明了其风能业务，以表格形式呈现。这些数据包括精确的涡轮机位置、物联网衍生的性能指标和法规遵从信息，使其非常适合地理人工智能应用。买家可以利用这些数据进行复杂的选址分析、预测性维护建模以及优化风力资产组合的能源产出预测。[4, 11, 15]
全球地理空间分析市场在 2024 年的估值为 383 亿美元，预计将以 13.6% 的复合年增长率增长。[1] 这一显著的市场增长突显了对基于位置的情报的高需求。尽管由于项目 SPV 的内部孤岛以及风资源数据的专有和敏感性质，Muirhallenergy 的数据访问可能很复杂，但其稀缺性及其在优化高价值可再生能源基础设施方面的直接适用性，使其成为寻求竞争优势的人工智能买家的诱人投资。[1, 4] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据可能在特定的项目 SPV（特殊目的公司）内孤立；环境影响数据可能受公众披露要求的约束；技术风资源数据是专有的，对竞争对手高度敏感 · 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 Muirhallenergy 拥有源自其核心工业流程（可再生能源开发）的专有数据集，包括专家级的GIS 制图和电网分析。这些数据支持了 96% 的规划许可成功率，使其成为训练预测模型的一项稀有、高质量资产。对于地理空间人工智能和移动分析团队来说，该数据集提供了一个独特的机会，可以在价值超过 380 亿美元的全球地理空间市场中为下一代选址和基础设施规划工具提供支持。
See dimension details ↓- Dataset Specificity90
主导的‘地理数据’，工业部门，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 Volume64
5 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
适用于地理人工智能
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
全球地理空间人工智能市场预计将从 2023 年的 7830 万美元增长到 2033 年的 11.653 亿美元，复合年增长率 (CAGR) 高达 31.0%。[7]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
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 Feasibility18
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength77
4 种证据类型，5 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 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 — 超出已货币化的专有数据
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 Audit100
✓ 良好目标 — Muirhall Energy 是一个理想的目标，因为它是一家独立的中小企业，开发、建造和运营风力发电场，作为其核心业务的副产品产生有价值的专有地理空间和运营数据，并且没有出售这些数据的迹象。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
明确提及内部的GIS 制图和电网分析专业知识，证实了用于项目规划和物流的专有、高价值地理空间数据的创建。
Developer portal
该公司的专业网站证实了其作为成熟的可再生能源开发商的身份，为数据的来源提供了工业背景和合法性。
IoT / sensor data
运营指标，包括 2 GW 的项目管道，表明与大规模、真实的能源基础设施项目相关的大量持续数据生成。
Regulatory records
在获得规划许可方面取得 96% 的成功率，证明了该数据集在高风险决策过程中的有效性，使其成为训练关于选址和监管结果的预测模型的宝贵资产。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Tabular
License
One-time license for internal use, Geo AI model training, and portfolio analysis. Restrictions on redistribution and resale apply.
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 as proprietary operational data from a successful renewable energy developer, coupled with its direct application in high-demand Geo AI for site selection and predictive maintenance. The significant growth in the geospatial analytics market further supports its valuation.
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
Muirhallenergy Geospatial — a Moderate geospatial dataset (Tabular modality) in the industrial domain. Primary AI use-case: Geo AI. Market signal: Global geospatial analytics market = $38.3B in 2024, CAGR 13.6% (2025-2034). [1]. Investment score 78.8/100 (confidence 0.58). Recommended action: Acquire.
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