Dataset opportunity
Mbslogistics — 移动遥测数据集机会
Mbslogistics 持有的中等规模移动遥测数据集，可用于预测性维护和异常检测。
Score
67.2
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)
全球预测性维护市场 = 2025 年为 134 亿美元，复合年增长率为 23.2%。
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
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权 · PII/受监管
Buyer persona
工业人工智能与维护优化供应商
Mbslogistics 持有一个有价值的移动遥测数据集，该数据集以时间序列数据的形式构建，源自其核心的 `event_streams`、`iot_data` 和 `transaction_data`。该数据集提供了对空运、海运和陆运模式运营状况的全面视图，可直接用于构建强大的预测性维护模型，以预测设备和车辆故障。
该应用的全球市场规模巨大且增长迅速；预测性维护市场在 2025 年的估值为134 亿美元，预计将以23.2% 的复合年增长率扩张。[1] 这种高增长突显了对全面运营数据的需求和稀缺性。尽管存在访问复杂性——例如需要匿名化敏感的客户和海关数据，以及数据按运输模式进行隔离——但对于旨在优化车队正常运行时间并大幅降低维护成本的 AI 买家来说，该数据集的价值是巨大的。⚠ 尽职调查（有价值的数据，可协商访问）：运营数据与敏感的客户货运详情混合；海关和监管数据需要严格匿名化；数据可能在不同运输模式（空运、海运、陆运）之间隔离 · 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 Mbslogistics 拥有其全球物流和供应链运营产生的专有、高稀缺性遥测数据。该数据集对于寻求构建和完善交通运输和仓储车队预测性维护模型的工业人工智能供应商来说是一项关键资产。在一个预计到 2025 年将达到 134 亿美元的市场中，这些真实的运营数据通过实现更准确的空运、海运和陆运资产的故障预测和维护优化，提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，移动行业，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 Demand92
高买家需求源于预测性维护市场的强劲增长，该市场预计将以 23.2% 的复合年增长率增长，表明在需要此类运营数据的 AI 应用方面存在大量投资。[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，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 License36
所有权=混合，许可=权利不明确
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 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 — 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 Audit58
✓ 目标明确 — MBS Logistics 是一家传统的货运代理公司，拥有真实的运营业务，作为副产品生成有价值的物流数据，但其最近被一家大型集团收购以及现有的客户数据门户降低了其“沉睡数据”的吸引力。问题：该公司于 2026 年 5 月被 AD Ports Group 收购，成为一家大型全球实体的一部分，这与之前的“中小型企业”和“非巨头/不透明集团”的描述相矛盾；该公司向客户提供一个名为“MBS Toolbox”的门户网站，用于访问运输信息、报价、发票和统计数据，表明他们已经；该公司不再是独立的تنظيم，在被规模大得多的 AD Ports Group 收购之前，各种来源引用的员工人数在 195 到 600 多人之间。
- Deep Qualification80
✓ 通过 — MBS Logistics 是一家典型的货运代理公司，是运营运输数据的持有者。最近被 AD Ports Group 收购是一个主要触发因素，但数据所有权是混合的，并且在其公开文件中没有明确定义转售的许可权。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这证实了从空运、海运和陆运物流流程跟踪中持续生成事件流，为资产绩效模型提供了重要的运营背景。
Transaction data
该公司管理来自国际海关和贸易文件的结构化交易数据，可用于丰富遥测模型，提供货物类型或路线复杂性等特征。
IoT / sensor data
这表明捕获了来自 IT 集成仓储的高价值物联网数据，跟踪了对构建预测性维护算法至关重要的资产的移动和运营状态。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Mbslogistics Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $13.4B in 2025, CAGR 23.2% (source: Polaris Market Research). Investment score 67.2/100 (confidence 0.49). Recommended action: Acquire.
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