Dataset opportunity
Zeplug — 移动遥测数据集商机
Zeplug 持有的大型移动遥测数据集，可用于预测性维护和异常检测。
Score
66.9
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
51%
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
$$$ — 高AI买家需求
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
Jungheinrich teste des batteries sodium-ion pour ses chariots
supplychainmagazine.fr ↗ - 📰press2026-06-05
L’agenda de la transition énergétique
greenunivers.com ↗ - 📰press2026-06-04
EnergyX, Wildcat Discovery Technologies team up to build ‘battery mecca’ in Texas
mining.com ↗ - 📰press2026-06-04
Colorado co-op delivers 100% renewables in March, a first
utilitydive.com ↗ - 📰press2026-06-04
Inthy accélère dans les camions électriques, renonce à l’hydrogène
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.
Profile
Dataset profile
Type
移动遥测数据集
Modality
时间序列
Sector
移动出行
Volume
大
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR敏感（PII审查）
Buyer persona
工业AI与维护优化供应商
公共网络信号表明 Zeplug（出行领域）拥有出行遥测数据集（时间序列）。通过 1 个来源的数据量、地理数据、物联网数据证据检测到。主要证据：物联网数据。⚠ 尽职调查（有价值的数据，可协商访问）：数据包含与电动汽车充电会话相关的 GDPR 敏感个人信息；该公司是 Zinc Invest 的运营子公司，并获得了 ICG Infra 的大量投资；数据来自客户对充电基础设施的使用。· 企业：Zinc Invest 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Zeplug 拥有一个极具价值的专有出行遥测数据集，主要由其广泛的电动汽车充电基础设施产生的时间序列数据组成。这些独特的数据直接满足了市场对预测性维护解决方案的高需求，使其对工业AI和维护优化供应商极具吸引力。其稀有性以及对关键、高需求AI用例的直接适用性，使其成为在快速发展的电动出行领域提高运营效率和减少停机时间的重要机会。
See dimension details ↓- Right to License62
所有权=自有, 许可=GDPR敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Dataset Specificity78
主要为“物联网数据”，出行领域，2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 Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume74
4个证据命中，明确提及数据量
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
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
全球汽车预测分析市场，依赖出行遥测数据进行AI驱动的预测性维护，预计在2025年至2033年间将以29.1%的复合年增长率（CAGR）增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Feasibility15
中等难度，Zinc Invest 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength65
3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. - Corporate Independence50
Zinc Invest 的子公司
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，5个近期外部信号 — 超出已变现范围的专有数据
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 Audit83
✓ 良好目标 — Zeplug 运营着一家提供电动汽车充电解决方案的实际业务，作为副产品生成有价值的遥测数据，并且似乎没有积极出售这些数据或衍生智能。问题：Zeplug 是一家资金充足的成长型公司，拥有200-350名员工和超过2.4亿美元的资金，使其成为一家中型公司而非小型中小企业，这略有偏差。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
此证据证实 Zeplug 从其充电基础设施收集物联网遥测数据，详细说明了远程消耗监控和维护事件，这些数据受到AI买家的高度追捧，用于预测性维护和运营优化。
Geospatial data
此数据类型证实 Zeplug 收集与充电站安装相关的地理空间数据，根据用户停车习惯提供战略布局见解，对基础设施规划和市场分析具有价值。
Data-volume signal
此证据突出了 Zeplug 计划到2025年在欧洲部署超过100,000个充电点的宏伟目标，预示着未来AI应用将拥有大量且快速增长的数据量。
Marketplace
Dataset details
Geographic coverage
Europe
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for predictive maintenance and AI model training, subject to GDPR compliance and data usage restrictions.
Personal data
Contains 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 proprietary mobility telemetry dataset, rich in time-series data from EV charging infrastructure, is highly sought after for predictive maintenance in the mobility sector, driving significant demand from Industrial AI buyers. The presence of GDPR-sensitive PII and its exclusive nature justify a premium 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
Zeplug Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: $$$ — high AI buyer demand. Investment score 66.9/100 (confidence 0.51). Recommended action: Data Sharing Agreement.
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