Dataset opportunity
Delgate — 移动遥测数据集机会
Delgate 持有的中等移动遥测数据集，可用于预测性维护和异常检测。
Score
67
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在 2025 年的估值为 142 亿美元，预计从 2026 年到 2033 年的复合年增长率为 27.9%（来源：Grand View Research）。[1]
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
Delgate 持有的移动遥测数据集，结构为时间序列数据，源自其核心物流运营。该数据集包括 `event_streams`（事件流）、`iot_data`（物联网数据）和 `transaction_data`（交易数据），为训练预测性维护算法以预测设备故障和优化维护计划提供了丰富、真实的实践基础。
此数据对于进入全球预测性维护市场至关重要，该市场在 2025 年的估值为 142 亿美元，预计将以 27.9% 的复合年增长率增长。[1] 虽然访问需要了解专有的 WMS/TMS 系统和合同条款，但此数据的稀缺性和运营深度为买家提供了一个重要机会，可以在快速扩张的市场中开发高价值的 AI 解决方案。⚠ 尽职调查（有价值的数据，可协商的访问权限）：运营数据与客户特定的库存数据交织在一起；数据存储在专有的 WMS（仓库管理系统）和 TMS（运输管理系统）中；可能需要审查与电子商务合作伙伴关于数据使用的合同条款。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Delgate 拥有一个专有数据集，该数据集捕获了真实的物流运营，从仓库内的物联网数据到跨承运商的货物事件流。这种独特的组合对于构建复杂的预测性维护模型以减少运营停机时间的工业人工智能供应商来说是一项关键资产。在全球预测性维护市场预计每年增长近 28% 的情况下，该数据集提供了捕捉市场份额所需的真实信号，通过预测设备故障和优化复杂的供应链。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'（物联网数据），行业为移动，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 Demand90
人工智能买家需求极高，这得益于预测性维护市场以预测的 27.9% 复合年增长率快速扩张。[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 个命中
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 个数据胃口信号（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 — 超出已货币化部分的专有数据
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 — Delgate 是一个强大的目标，因为它是一家技术驱动的 3PL 和物流公司，在货运、仓储和最后一英里交付方面拥有真实的运营业务，这些业务产生了宝贵的移动和物流数据作为副产品，并且似乎不将其作为核心产品出售。问题：最初的潜在客户描述“移动遥测数据集机会”在公司网站上任何地方都没有提及，这表明它可能是内部的。
- Deep Qualification80
✓ 通过 — Delgate 是一家物流运营商，其核心业务产生了连贯的移动和遥测数据。然而，这些数据与其客户的信息内在相关，使得所有权混合且许可权不明确，这需要特定的法律尽职调查。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/QYU0PQvsZZJDY0oboip3buQPRMNaW7YWi7gKQeQsiK0/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS8yLTdMLXR1cmJvLWVuZ2luZS1hc3NlbWJseS1TcHJpbmctSGlsbC5qcGc=.webp" /></div></figure><p>The Spring Hill plant will produce more truck models as part of the company’s approximately $9 billion U.S. manufacturing footprint expansion.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/MK0iG5P7f6kN4Aod9QD0yZnAZGPEw_DA0eOYbM7Gr0s/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0xNTIzNDE3NDA4LmpwZw==.webp" /></div></figure><p>After grounding its entire MD-11 fleet in November, the carrier began reintroducing the aircraft in May, CEO Raj Subramaniam said.</p>”
- “<p>The agency’s refund portal now covers entries awaiting reconciliation of their final duty calculations.</p>”
Event streams
这些数据提供了实时的事件流，跟踪跨承运商的货物状态，这是为预测性维护算法提供信息的运营压力建模的关键信号。
IoT / sensor data
这是来自仓库履行和库存系统的专有物联网数据，为训练模型以检测设备故障之前的异常提供了高保真信号。
Transaction data
这些关于承运商绩效的汇总交易数据提供了重要的经济背景，使模型能够将物流选择与维护结果相关联，并优化总拥有成本。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance use cases, subject to contractual clauses and proprietary system access.
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 mobility telemetry dataset offers high value for predictive maintenance due to its rarity, real-time freshness, and direct application in a rapidly growing market (USD 14.2B in 2025, 27.9% CAGR). The unique combination of event streams, IoT data, and transaction data from logistics operations is critical for industrial AI vendors.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Delgate 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 was valued at USD 14.2 billion in 2025, projected to grow at a CAGR of 27.9% from 2026 to 2033 (source: Grand View Research). [1]. Investment score 67.0/100 (confidence 0.49). Recommended action: Acquire.
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