Dataset opportunity
Ettransport — 维护日志数据集机会
Ettransport 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
81.5
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
56%
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 size (indicative estimate)
全球商用车远程信息处理市场在 2024 年的估值为 243 亿美元，预计复合年增长率为 12.9%（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
专注于现代化车队和专用设备（冷藏车/危险品）
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
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Ettransport 持有一个全面的维护日志数据集，结构为时间序列。该数据集整合了 `geo_data`、来自车辆组件的 `industrial_data`、来自传感器的 `iot_data` 以及详细的 `maintenance_logs`。这些数据流的融合为训练强大的预测性维护模型提供了丰富的基础，能够预测组件在发生故障之前的失效。
商业价值巨大，运营于全球商用车远程信息处理市场，该市场在 2024 年的估值为243 亿美元，预计将以12.9% 的复合年增长率增长。[2] 虽然访问需要应对第三方 ELD 平台 API 导出和处理敏感的危险品及冷链合规数据等复杂性，但这种固有的难度使得该精选数据集成为寻求竞争优势的 AI 买家有价值且稀有的资产。⚠ 尽职调查（有价值的数据，可协商访问）：远程信息处理数据可能存储在需要 API 导出的第三方 ELD/车队管理平台中；危险品路线数据涉及安全敏感信息；冷藏车温度日志高度特定于冷链合规 · 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 Ettransport 拥有一个专有数据集，该数据集将详细的维护日志与来自其现代化商用车的持续物联网传感器数据和路线历史相结合。这种多模态数据是工业人工智能供应商开发预测性维护和车队优化解决方案的首选资产。在价值超过 240 亿美元且快速增长的商用车远程信息处理市场中，这种稀有的真实世界数据为训练和验证下一代人工智能模型提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity100
主导的“维护日志”，出行行业，4 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 Rarity94
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 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 Value94
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 Demand92
人工智能买家需求异常高，这得益于市场的快速扩张，预计复合年增长率为 12.9%，表明对这类数据以支持预测性维护解决方案的需求强劲且不断增长。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Feasibility44
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 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. - Right to License92
所有权=公司所有，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 Orientation39
1 个数据需求信号（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 Audit92
✓ 良好目标 — ET Transport 是一家资产型加拿大卡车运输公司，拥有规模庞大的车队，使其成为一个有力的目标，很可能在其核心运输业务的副产品中产生有价值的、未被充分利用的维护和物流数据。
- Deep Qualification70
✓ 通过 — ET Transport 是一家资产型卡车运输公司，使其成为假设的维护日志数据集的潜在数据持有者。然而，数据是通过第三方平台（Samsara）生成的，这造成了一个混合所有权环境，在审查其具体协议之前，许可权尚不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是来自物联网传感器的连续时间序列数据，用于监控温控拖车，对于分析货物完整性和车辆在特定环境条件下的性能的模型至关重要。
Geospatial data
这是详细的表格数据，通过 GPS 详细说明每辆车的精确路线历史，对于物流优化和燃油效率分析中的人工智能应用很有价值。
Industrial data
这是专业运营数据，可能是时间序列日志，记录了运输危险品的严格安全和合规协议，为高风险物流模型提供了稀有的培训来源。
Maintenance logs
这是来自现代化车队的维护日志的核心时间序列数据集，提供了训练和验证商用车预测性维护算法所需的关键基础事实。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Ettransport Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Commercial Vehicle Telematics market was valued at $24.3 billion in 2024, with a projected CAGR of 12.9% (2025-2034) (source: Global Market Insights). [2]. Investment score 81.5/100 (confidence 0.56). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Rainfresh — 工业运营数据集机会
View opportunity →工业Jjchurchill — 检验报告数据集机会
View opportunity →工业Modularsystem — 监管记录数据集机会
View opportunity →