Dataset opportunity
Mapon — 移动遥测数据集商机
Mapon持有的海量移动遥测数据集，可用于预测性维护和异常检测。
Score
75.8
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
83%
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
Black Marker, Magnetic Signs, and Peeling Decals: Here Is What 49 CFR 390.21 Actually Requires.
freightwaves.com ↗ - 📰press2026-06-04
A Driver’s Paper Logs Said He Was in One Place. A Roadside Camera Network Said Otherwise. Welcome to the New Era of Trucking Enforcement.
freightwaves.com ↗ - 📰press2026-06-04
FMCSA responds 2X to ongoing problems with Motus rollout
freightwaves.com ↗ - 📰press2026-06-04
Trucking is driving double-digit growth for this rail freight category
freightwaves.com ↗ - 📰press2026-06-04
FedEx partner airline says Caribbean service at risk without FAA waiver
freightwaves.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
中等
Accessibility
部分
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
公开网络信号表明 Mapon（出行领域）拥有出行遥测数据集（时间序列）。通过 API、下载、事件流、图像采集、物联网数据等6个来源的证据检测到。主要证据：物联网数据。⚠ 尽职调查（有价值的数据，可协商访问）：数据所有权复杂，原始数据来源于客户车辆/资产；数据集包含 GDPR 敏感的个人信息，包括驾驶员数据（位置、路线、驾驶习惯、驾照号码）；该公司是 Draugiem Group 的子公司，这可能会增加数据许可谈判的复杂性。· 公司：Draugiem Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Mapon 拥有广泛的时间序列出行遥测数据，包括实时车辆位置、详细的历史行程信息以及速度和驾驶习惯等细致的驾驶员行为指标，这些数据直接来源于 GPS 跟踪系统和数字行车记录仪。这种丰富、连续的数据流正是工业 AI 和维护优化供应商迫切需要的，用于开发先进的预测性维护模型，使他们能够预测设备故障并优化车队运营，在对这种可操作洞察力有高需求的市场中。
See dimension details ↓- Dataset Specificity90
主要为“物联网数据”，出行领域，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 Rarity58
专有领域数据（开放会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume100
15条证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式
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 Demand92
依赖出行遥测数据的 AI 驱动预测性维护市场预计在 2025 年至 2032 年间以 39.5% 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 Accessibility60
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility69
中等难度，Draugiem Group 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
5种证据类型，15条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Draugiem Group 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 — 超出已货币化范围的专有数据
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 Audit92
✓ 良好目标 — Mapon 作为一家车队管理 SaaS 公司，在运营过程中收集了大量有价值的出行遥测数据作为副产品，目前尚未将其作为原始数据产品出售给外部买家，因此是一个强有力的目标。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这一核心证据表明 Mapon 拥有丰富的时间序列遥测数据，包括实时车辆位置、历史行程数据以及驾驶时长和休息等详细驾驶员活动，这对于预测分析和运营洞察至关重要。
Downloads / exports
此证据证实 Mapon 提供源自行车记录仪远程下载的表格数据，提供历史行程信息、驾驶员活动以及对合规性和燃油管理有用的数据，这对于运营效率和成本优化具有极高价值。
API access
这表明 Mapon 提供多模式 API 以实现无缝集成，允许程序化访问车辆数据、预订功能和计划报告，这对于寻求将数据高效摄取到其平台的AI 买家至关重要。
Event streams
这一特定证据突出了 Mapon 监控和提供驾驶员行为的时间序列数据的能力，包括驾驶习惯、速度和方向，这对于安全分析、效率提升和预测性维护建模至关重要。
Image collection
这表明 Mapon 还有能力通过车队摄像头系统收集视觉数据，为全面的车队管理提供补充洞察，并可能丰富多模式 AI 应用。
Marketplace
Dataset details
Geographic coverage
Likely Europe (based on Mapon's primary market, but requires confirmation)
Time range
Real-time (implies rolling, continuous data)
Update frequency
Real-time
Delivery
API, potentially IoT data streams
Formats
Time Series
License
One-time license for predictive maintenance use cases, subject to negotiation due to mixed data ownership and PII.
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 dataset's value is driven by its large volume of real-time mobility telemetry, crucial for predictive maintenance in the high-demand AI mobility sector. The significant PII and complex ownership structure necessitate 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
Mapon 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 75.8/100 (confidence 0.83). Recommended action: Data Sharing Agreement.
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