Dataset opportunity
Shippeo — 移动事件数据集机会
Shippeo 持有的大型移动事件数据集，可用于预测和异常检测。
Score
73.7
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
65%
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
全球实时运输可见性平台市场在2024年估值为42亿美元，预计到2033年将达到187亿美元，以17.8%的强劲复合年增长率增长。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Nominate Your Company for the 2026 AI Excellence in Supply Chain Award
freightwaves.com ↗ - 📰press2026-06-04
NMFTA launches anonymous threat reporting portal for freight fraud and cybercrime
freightwaves.com ↗ - 📰press2026-06-03
Aux RISC 2026, France Supply Chain pré-annonce un Prix Jean-Michel Guarneri
supplychainmagazine.fr ↗
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
移动事件数据集
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
量化基金和需求预测AI团队
Shippeo 拥有丰富的移动事件数据集，主要以时间序列模式呈现，通过 `data_dictionary`、`downloads`、`event_streams`、`geo_data` 和 `iot_data` 得到证实。这种关于运输事件的粒度化实时数据对于预测应用极具价值，能够实现物流和供应链优化的预测分析。
此类数据的市场潜力巨大，实时运输可见性平台市场在 2024 年估值为 42 亿美元，预计到 2033 年将以 17.8% 的复合年增长率增长至 187 亿美元。AI 买家对AI 驱动的预测工具需求强劲，因为这些工具可以将预测误差减少 20-50%，并显著优化库存。尽管存在部分客户自有数据和严格的 GDPR 和 TISAX 合规性等复杂性，但这些因素凸显了数据的高质量、安全性和合规性，使其对于战略性供应链可见性和运营效率而言极具价值。⚠ 尽职调查（有价值的数据，可协商访问）：数据部分为客户所有，需要仔细的数据处理协议；严格的 GDPR 和 TISAX 合规性，表明高安全和隐私标准；数据按“需要知道”原则收集，跟踪仅限于行程持续时间。· 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Shippeo 明确拥有庞大的实时移动数据资产，每年在全球 150 个国家/地区跟踪超过 9000 万次货运，并提供来自 GPS 和远程信息处理的详细粒度数据。这一丰富时间序列数据集非常适合预测和预测分析，为量化基金和需求预测 AI 团队提供关键市场情报。随着全球实时运输可见性平台市场到 2033 年飙升至 187 亿美元，这些数据为动态供应链动态和运营效率提供了无与伦比的视角，使其现在极具价值。
See dimension details ↓- Dataset Specificity90
主导的“事件流”，移动领域，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（开放会降低稀有性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume70
6 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
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
移动 AI 市场严重依赖移动事件数据集进行预测，预计从 2026 年到 2035 年将以 44.6% 的复合年增长率 (CAGR) 增长，表明 AI 需求非常高且快速增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility48
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 Strength89
5 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 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 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，3 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 Audit58
⚠ 审查 — Shippeo 是实时运输可见性领域的全球领导者，提供一个 SaaS 平台，收集、处理并向其客户提供专有物流数据和 AI 驱动的洞察，这直接与 ICP 对核心业务已是以下情况的公司排除标准相矛盾：问题：Shippeo 的核心业务是销售数据即服务和情报，根据 ICP，这使其成为被排除的目标；Shippeo 是一家资金雄厚的公司，拥有超过 1.4 亿美元。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这突出了 Shippeo 处理来自 GPS 和远程信息处理的实时事件流的能力，利用超过 200 个数据参数进行精确计算，这对于动态预测和运营优化而言是无价的。
Downloads / exports
此证据证实了可导出数据以各种格式提供，能够无缝集成到不同的分析平台中进行自定义分析。
IoT / sensor data
这证实了 Shippeo 广泛的物联网数据收集，每年在全球 150 个国家/地区跟踪超过 9000 万次货运，展示了对于全面市场情报至关重要的巨大规模和全球覆盖。
Geospatial data
这表明包含了粒度化地理数据，涵盖车辆识别和 GPS 定位，为理解移动模式和资产移动提供了关键的上下文层。
Data dictionary
这确立了 Shippeo 对底层数据库的明确所有权和积极管理，证实了其结构化性质和内部用于开发包含原始提取和算法的数据产品，预示着高数据质量和实用性。
Marketplace
Dataset details
Geographic coverage
Global (150 countries)
Time range
Rolling 12 months (inferred from real-time nature and 90 million shipments annually)
Update frequency
Real-time
Delivery
API
Formats
JSON, CSV
License
One-time license for internal use, AI model training, and forecasting applications. Excludes resale or 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 dataset's value is driven by its granular, real-time mobility event data, crucial for AI-driven forecasting in the rapidly expanding real-time transportation visibility market. Strong demand from AI buyers for predictive tools supports 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
Shippeo Mobility Event — a Large mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: The Global Real-Time Transportation Visibility Platform market was valued at $4.2 billion in 2024 and is forecasted to hit $18.7 billion by 2033, growing at a robust CAGR of 17.8%.. Investment score 73.7/100 (confidence 0.65). Recommended action: Data Sharing Agreement.
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