Dataset opportunity
Drive Electric — 移动遥测数据集机会
Drive Electric 持有的中等移动遥测数据集，可用于预测性维护和异常检测。
Score
65.7
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
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)
全球汽车预测性维护市场规模为 220 亿美元（2023 年），预计复合年增长率为 18.6%（2023-2032 年）。
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
移动遥测数据集
Modality
时间序列
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Drive Electric 是一家总部位于英国的移动公司，拥有专有的移动遥测数据集。这些时间序列数据源自 `business_records`、`iot_data` 和 `transaction_data`，捕获了其租赁车队的详细运营、行为和智能充电事件。该数据集的结构和丰富性使其非常适合开发和验证预测性维护算法，以预测组件故障并优化服务计划。
商业价值锚定在全球汽车预测性维护市场，该市场在 2023 年的估值为 220 亿美元，预计将以 18.6% 的复合年增长率增长。[1] 虽然访问涉及处理 GDPR 下租赁合同中的个人身份信息 (PII) 等复杂问题、母公司 Fleet Alliance Ltd 的所有权以及与能源网合作伙伴的数据集成，但这种真实遥测数据的稀有性和深度代表了高增长市场中人工智能买家的一项重要竞争优势。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包括车辆租赁合同中的 PII（GDPR）；所有权归母公司 Fleet Alliance Ltd；智能充电数据涉及与能源网合作伙伴的集成 · 公司：Fleet Alliance Ltd. 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Drive Electric 拥有一项稀有的专有数据集，通过链接的租赁记录、基于应用程序的遥测和内部绩效分析，捕获了电动汽车的完整资产生命周期。这种真实世界电动汽车数据的集合是为开发预测性维护解决方案的工业人工智能供应商的关键资产。在一个预计年增长率超过 18% 的市场中，该数据集能够创建复杂的模型，预测组件故障并优化维护计划，从而提供显著的竞争优势。
See dimension details ↓- Right to License62
所有权=公司所有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Dataset Specificity78
主导“iot_data”，行业移动，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 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 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
人工智能买家需求异常高，这得益于市场庞大的规模和强劲的增长，汽车预测性维护解决方案的预计复合年增长率为 18.6%。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，Fleet Alliance Ltd 的子公司
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. - Corporate Independence50
Fleet Alliance Ltd 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation73
3 个数据需求信号（3 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 Audit92
✓ 良好目标 — 绝佳目标：DriveElectric 是一家运营中的电动汽车车队租赁中小企业，该业务会产生有价值的远程信息处理数据作为副产品，并且似乎不将其作为核心产品出售。问题：该公司于 2025 年 10 月被更大的实体 Jurni Ltd 收购；这可能会增加决策的复杂性。[3, 9]；他们的车队管理服务包括为客户分析远程信息处理数据，这是一种销售情报的形式，但它似乎是其一项功能；补充隐私政策提到与英国能源网络公司共享匿名数据用于基础设施试验，表明他们了解数据
- Deep Qualification90
✓ 通过 — 目标是一家数据持有者，其核心业务是电动汽车租赁和车队管理，这使得“移动遥测数据集”的假设高度可信。然而，由于其涉及第三方资助者的经纪人模式，数据所有权是混合的，并且转售权不明确并受 GDPR 限制，需要与母公司 Jurni Ltd 进行谈判。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该数据集包括数千条详细的电动汽车租赁记录，提供了丰富的车辆规格和里程交易历史，这对于建模长期资产价值和使用模式至关重要。
IoT / sensor data
专有的时间序列遥测直接从面向所有者的应用程序捕获，详细说明了用于训练预测性维护算法的精细电动汽车充电行为和能源消耗。
business_records
该数据集包含对真实世界电动汽车性能的专有分析，记录了续航里程和效率如何因车型和环境而异，为校准人工智能模型提供了独特的地面实况。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Drive Electric Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Automotive Predictive Maintenance Market size was USD 22 billion in 2023, projected to grow at a CAGR of 18.6% (2023-2032) (source: Precedence Research). [1]. Investment score 65.7/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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