Dataset opportunity
Evexperts — 维护日志数据集机会
Evexperts 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
70.7
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
53%
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估计为 46.6 亿美元（2024 年），预计 CAGR 为 17.5%（2025-2034 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.
- 📣Press / announcement
2023 年汽车经销商杂志奖二手电动汽车经销商年度奖得主
source ↗
Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
出行
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
Evexperts 持有一个时间序列维护日志数据集，包含 `iot_data`、详细的 `maintenance_logs` 和 `transaction_data`。这些运营、维修和财务记录的丰富组合提供了车辆生命周期事件的全面视图，非常适合开发旨在预测组件故障的高精度预测性维护模型。
此数据是进入汽车预测性维护市场的直接途径，该市场在 2024 年的估值为 46.6 亿美元，预计将以 CAGR 17.5% 的速度增长。[1] 虽然访问需要克服数据孤岛并匿名化 PII/VIN 相关信息，但此数据集的稀有性和深度为该高增长市场中的 AI 买家提供了显著的竞争优势。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：技术电池健康数据与 VIN 相关联，可能需要匿名化；客户交易记录包含 PII（姓名、地址、财务详细信息）；数据可能孤立在经销商管理系统 (DMS) 或 CRM 中 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了电动汽车专家 Evexperts 拥有专有的服务历史和维护日志。这种时间序列数据正是 AI 供应商构建和完善快速发展的电动汽车市场预测性维护模型所必需的。在一个预计以 17.5% 的 CAGR 增长的行业中，该数据集提供了一个难得的机会，可以对真实世界的电动汽车性能和组件磨损进行算法训练，从而创造显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，出行行业，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 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
AI 买家需求异常高，市场以 17.5% 的 CAGR 快速增长，公司积极投资 AI 以争夺预计到 2034 年将达到 233.9 亿美元的市场份额。[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
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength68
3 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 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. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 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 Audit100
✓ 目标明确 — 英国二手电动汽车经销商和维护专家，在其核心运营业务的副产品中生成有价值的维护和电池健康数据，没有出售这些数据的迹象。问题：多个独立公司在全球范围内以“EV Experts”的名称运营（例如，在阿联酋、捷克共和国、美国），需要仔细区分才能定位；该公司最近整合了其实体店，关闭了汉普郡的一家门店，专注于其吉尔福德、萨里门店，这是一个次要的运营变化
- Deep Qualification90
⚠ 需要审查 — Evexperts 是一家二手电动汽车经销商，其商业模式可能产生维护和交易日志，但其隐私政策要求在服务提供之外的数据共享获得明确同意，这严重限制了将这些包含 PII 的数据许可用于第三方 AI 培训。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Maintenance logs
这些证据证实了持有者拥有结构化的服务历史记录，包括检查和电池测试，这些是训练模型预测组件故障所必需的地面真实数据。
Transaction data
这些证据表明持有者捕获了车辆的详细、表格化的资产级上下文，包括里程和电池容量等规格，这对于丰富维护数据以进行成本和性能建模至关重要。
IoT / sensor data
这些证据表明持有者拥有专业知识，并且可能收集有关真实世界车辆性能和驾驶员行为的时间序列数据，这对于创建更细致的预测模型很有价值。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Evexperts Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance for Vehicles market size was estimated at $4.66 billion in 2024, with a projected CAGR of 17.5% (2025-2034) (source: Global Market Insights Inc.). [1]. Investment score 70.7/100 (confidence 0.53). Recommended action: Data Sharing Agreement.
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