Dataset opportunity
Tankpool24 — 移动与地理空间数据集机会
Tankpool24 持有的中等移动与地理空间数据集，可用于地理人工智能和路线规划与预测。
Score
48
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
数据共享协议
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)
全球地理空间分析市场 = 2026 年为 1080.3 亿美元，复合年增长率为 12.72%。
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
移动与地理空间数据集
Modality
表格型
Sector
移动
Volume
中等
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
聚合/第三方 — GDPR 敏感（PII 审查）
Buyer persona
地理人工智能与移动分析团队
Tankpool24 持有源自其广泛加油站网络的重要的表格型 移动与地理空间数据集。数据包括精细的 `transaction_data`、来自油泵的 `iot_data` 以及精确的 `geo_data`，提供了商业车辆移动和加油模式的真实视图，使其非常适合训练和验证用于物流和供应链优化的地理人工智能模型。
其商业价值巨大，运营于全球地理空间分析市场，该市场预计到 2026 年将达到1080.3 亿美元，复合年增长率为 12.72%。 [2] 尽管由于分布式所有权和个人身份信息 (PII) 的存在等复杂性，访问需要协商，但该运营数据的稀缺性和高保真度使其成为寻求在路线规划和需求预测方面获得独特竞争优势的人工智能买家的优质资产。⚠ 尽职调查（有价值的数据，可协商访问）：数据来自一个独立的、中型石油企业家网络；数据集包含 PII，如驾驶员卡 ID 和特定车辆里程；所有权可能分布在中央 GmbH 和区域合作伙伴之间 · 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 Tankpool24 拥有专有数据集，该数据集将其高频车辆交易与其在欧洲网络中的精确位置相关联。该资产对于希望构建先进的商业车队行为预测模型的地理人工智能和移动分析团队至关重要。在预计将超过 1000 亿美元的地理空间分析市场中，这些数据为卓越的路线优化、需求预测和竞争情报提供了地面实况。
See dimension details ↓- Dataset Specificity90
主导的 'geo_data'，移动行业，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 Rarity58
专有领域数据（公开会降低稀缺性）
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
人工智能买家需求极高，这得益于地理空间分析市场的快速增长，该市场正以 12.72% 的复合年增长率扩张。 [2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
公开/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 Feasibility48
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 Strength77
4 种证据类型，5 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License10
所有权=聚合，许可=GDPR 敏感
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 Orientation50
2 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 — 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 Audit67
⚠ 审查 — Tankpool24 的核心业务是销售车队管理和远程信息处理软件服务，这些服务源自运营数据，因此不太适合，因为它已经销售了情报。问题：公司核心业务是销售源自数据的情报/软件（车队管理、远程信息处理、消费分析）。；该公司由 15-19 家中型石油公司组成，这使其中小企业地位和数据所有权复杂化；它直接向客户提供数据导出和消费分析，表明他们已经将数据价值货币化。
- Deep Qualification80
✓ 通过 — Tankpool24 是一个数据持有者，拥有高度一致的移动数据集，但由于基于合作伙伴的所有权结构和 PII 的存在，数据访问很复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
该数据集包含与欧洲 2,200 多个加油站的实体网络相关联的明确位置数据，这对于任何车队移动的地理空间分析都至关重要。
Downloads / exports
该公司运营一个适用于 Android 和 iOS 的移动应用程序，建立了收集第一方用户数据和行为信号的直接渠道。
Transaction data
该公司捕获每次加油事件的精细交易数据，包括车辆里程、数量、日期和时间，这是构建详细移动画像的基础。
IoT / sensor data
数据通过现代物联网基础设施收集，包括数字驾驶员卡，确保了直接来自车辆和驾驶员的高保真、安全的数据流时间序列。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tankpool24 Mobility & Geospatial — a Moderate mobility & geospatial dataset (Tabular modality) in the mobility domain. Primary AI use-case: Geo AI. Market signal: Global Geospatial Analytics market = $108.03 billion in 2026, CAGR 12.72% (source: Mordor Intelligence). Investment score 48.0/100 (confidence 0.58). Recommended action: Data Sharing Agreement.
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