Dataset opportunity
Sevensenders — 移动遥测数据集机会
Sevensenders 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
74.8
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
70%
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
全球预测性维护市场在 2024 年的估值为 129.4 亿美元，预计到 2033 年将增长到 1104.3 亿美元，复合年增长率为 26.9%（来源：Spherical Insights LLP）。[9]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-15
Your supply chain has a visibility problem. Your executives have a decision problem.
supplychaindive.com ↗ - 📰press2026-06-14
LTL’s paper gains
freightwaves.com ↗ - 📰press2026-06-12
Mid-term money-saver: DOT wants to pre-screen containers to speed supply chain
freightwaves.com ↗ - 📰press2026-06-12
RXO’s debt rating at S&P holds; so does its negative outlook
freightwaves.com ↗ - 📰press2026-06-12
Kenvue Canada saves big on diesel costs with Fuel Transport EV pilot
supplychaindive.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
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
聚合/第三方 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Seven Senders 持有的移动遥测数据集，结构为时间序列，来源于其物流平台的物联网数据、事件流和交易数据等。这些数据提供了承运商资产的实时状态和历史性能，非常适合开发和训练预测性维护模型，以预测设备故障、优化维护计划并减少整个物流网络的运营停机时间。
预测性维护的全球市场规模巨大且正在迅速扩张，一份报告估计其在 2024 年的市场价值为129.4 亿美元，并预计复合年增长率 (CAGR) 为 26.9%。[9] 尽管存在 PII 需要匿名化和三方数据所有权等访问复杂性，但该数据集的主要价值在于其聚合的跨承运商绩效基准。这种稀有且全面的视图为训练强大的 AI 模型提供了独特的竞争优势，证明了为获取此宝贵数据资产而进行谈判的努力是值得的。⚠ 尽职调查（有价值的数据，可协商访问）：包含需要大量匿名化的 PII（收件人姓名/地址）；数据所有权涉及商家、承运商和 Seven Senders 之间的三方关系；主要价值在于聚合的跨承运商绩效基准 · 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 Sevensenders 运营着一个复杂的物流平台，该平台从 100 多家欧洲承运商的网络生成专有的实时遥测数据。这种高稀有度的时间序列数据对于开发车队管理和物流优化预测性维护解决方案的工业人工智能供应商至关重要。在一个预计将爆炸性增长到超过 1100 亿美元的市场中，该数据集提供了一个独特的机会来训练能够减少运营停机时间、预测故障并占据显著市场份额的模型。
See dimension details ↓- Dataset Specificity100
主导的 'iot_data'，移动行业，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 Rarity70
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 Volume70
6 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 Demand85
全球汽车预测性维护市场依赖于移动遥测数据，预计在 2023 年至 2032 年间将以强劲的 18.6% 的复合年增长率增长，这表明买家需求非常高且不断增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility26
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 Feasibility66
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 Strength98
6 种证据类型，6 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License10
所有权=聚合，许可=gdpr_敏感
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 — 超出已货币化数据的专有数据
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 Audit58
⚠ 审查 — Sevensenders 是一个软件平台，其核心业务是通过其分析和人工智能工具（7S Analytics、ParcelAI）销售物流优化和情报，这使其成为一个糟糕的匹配对象，因为它已经销售了从数据中提取的情报。问题：该公司的核心产品是一个软件平台，销售从物流数据中提取的情报和分析。[13, 18, 22]；该公司不从其自有实体资产（如车队）生成数据，而是从一个网络聚合数据。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
API access
持有者运营一个集成的多式联运最后一英里承运商的中央物流 API，证明数据结构化且可编程访问，可实现可扩展的AI 集成。
Downloads / exports
该公司发布专家指南和白皮书，表明其拥有深厚的领域知识，可以为复杂物流模型中的特征工程提供重要背景。
Search / query logs
内部货运信息搜索日志代表了独特的非结构化文本数据来源，揭示了用户意图和运营摩擦点。
Event streams
该平台从庞大的欧洲承运商网络生成实时遥测和性能数据，提供了训练实时预测模型所需的核心时间序列数据。
IoT / sensor data
该数据集包含与运输相关的排放和路线物联网数据，为车辆健康、燃油效率和维护触发器建模提供了直接输入。
Transaction data
持有者捕获有关退货和保险索赔的全面交易数据，提供了优化 AI 模型以应对业务成本所需的关键真实结果。
Marketplace
Dataset details
Geographic coverage
Europe
Time range
Real-time and historical (specific range not provided)
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance model development and training, with potential restrictions on redistribution.
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, real-time time-series mobility telemetry data is highly valuable for predictive maintenance in the rapidly growing logistics sector. Its rarity and large volume, combined with strong market demand, justify 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
Sevensenders Mobility Telemetry — a Large 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 12.94 Billion in 2024, poised to grow to USD 110.43 Billion by 2033, at a CAGR of 26.9% (source: Spherical Insights LLP). [9]. Investment score 74.8/100 (confidence 0.7). Recommended action: Data Sharing Agreement.
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