Dataset opportunity
Jachttrans — 机动性遥测数据集机会
Jachttrans 持有的中等机动性遥测数据集，可用于预测性维护和异常检测。
Score
69.5
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
49%
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规模在 2024 年价值 243 亿美元，预计复合年增长率为 12.9%（来源：Precedence Research）
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.
- ✨Signal
运营规模：20 多辆卡车组合，每周进行 20 多次国际运输
source ↗
Profile
Dataset profile
Type
机动性遥测数据集
Modality
时间序列
Sector
机动性
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 可授权 · 个人身份信息/受监管
Buyer persona
工业人工智能与维护优化供应商
Jachttrans 持有一个出行遥测数据集，以时间序列模式存储，其中包含来自其车辆运输业务的有价值的 `工业数据` 和 `物联网数据`。这些历史数据富含跨境物流模式和车辆遥测信息，可直接用于训练预测性维护人工智能模型，以在车辆和组件发生故障之前进行预测。[1, 12, 13]
全球商用车远程信息处理市场在 2024 年的估值为243 亿美元，预计将以 12.9% 的复合年增长率增长，这表明了巨大的商业价值。[2] 尽管由于公司结构的原因，该数据可能需要来自遗留系统的手动提取支持，但其在游艇运输物流这一细分市场中固有的稀有性和特异性，为寻求构建专业化、高性能预测模型的 AI 买家提供了独特而宝贵的资源。[2] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据可能存储在遗留运输管理系统或手动日志中；小型家族企业结构可能需要手动提取支持；主要价值在于历史跨境物流模式和车辆运输遥测 · 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 Jachttrans 拥有其在欧洲运营的二十多辆商用卡车组成的活跃车队所产生的专有数据集。这种高稀有度的时间序列数据对于寻求构建和优化预测性维护模型的工业 AI 供应商至关重要。在全球远程信息处理市场估值超过 240 亿美元且快速增长的背景下，该数据集提供了获得竞争优势所需的真实车辆遥测和运营信号。
See dimension details ↓- Dataset Specificity90
主导的 '物联网数据'，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 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 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 Demand85
AI 买家需求旺盛，这得益于全球商用车远程信息处理市场的快速扩张，该市场预计将以 12.9% 的复合年增长率增长，因为公司越来越多地利用这些数据来提高运营效率和进行预测性维护。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
个人身份信息/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 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. - Right to License92
所有权=已拥有，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 Surplus70
盈余=中等，2 个近期外部信号 — 超出已货币化的专有数据
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 Audit100
✓ 良好目标 — Jachttrans 是一个理想的目标，因为它是一家可联系的中小型企业，核心业务是物流（拥有 20 多辆卡车），作为副产品生成专有车队遥测数据，目前尚未将其货币化。[1, 2, 5]
- Deep Qualification80
✓ 通过 — Jachttrans 是一家传统的运输和物流公司，而不是数据销售商。‘出行遥测数据集’是其在欧洲广泛运营的合理副产品，因为他们提到了使用‘最新卡车’和‘高效规划’，并为客户提供货物追踪能力。数据 o
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “Dans la foulée du plan futuREady, le groupe Renault annonce plusieurs nominations, dont celle de Quitterie de Pelleport au poste de secrétaire générale. Sandra Gomez et François Lavernos sont également promus dans cette nouvelle organisation.”
- “<figure><div><img src="https://imgproxy.divecdn.com/xOQQba6gc7uUfxx5s0k0HuOFXJmr9m8UWGYWBmeJaJ8/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9UTU5BLUhlYWRxdWFydGVycy1FeHRlcmlvci1FbnRyYW5jZS0xNTAweDEwNjEuanBn.webp" /></div></figure><p>Changes include expanded roles for Group VP of Supply Chain Kevin Austin and Group VP of Vehicle Supply Chain Kensuke Morita.</p>”
IoT / sensor data
该公司确认其在欧洲运营着二十多辆卡车组合，生成专有的物联网数据，直接反映了真实的车辆遥测和车队性能。
Transaction data
这些表格证据详细说明了该公司将车辆运输到西班牙和葡萄牙等特定国家的业务，为时间序列信号提供了重要的物流背景。
Industrial data
持有者通过客户进件表格捕获结构化的工业数据，用于车辆运输，提供详细的、特定货物的细节，丰富了核心运营数据集。
Marketplace
Dataset details
Geographic coverage
Europe
Time range
Historical (exact range not specified) + Real-time
Update frequency
Real-time
Delivery
Manual extraction support required, likely CSV export or d
Formats
Time Series, Industrial Data, IoT Data
License
One-time license for use in training predictive maintenance AI models. Manual extraction support may be required.
Personal data
No 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, high-rarity time-series mobility telemetry dataset is critical for training predictive maintenance AI models within the rapidly growing global commercial vehicle telematics market, valued at over $24 billion.
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
Jachttrans Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Commercial Vehicle Telematics market size was valued at USD 24.3 billion in 2024, estimated to register a CAGR of 12.9% (source: Precedence Research). Investment score 69.5/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Bat Agrar — 监管记录数据集机会
View opportunity →移动出行Fossnational — 维护日志数据集机会
View opportunity →其他Trumanbrewery — Sensor Telemetry Dataset Opportunity
View opportunity →