Dataset opportunity
Vanduuren — 移动事件数据集机会
Vanduuren 持有的中等规模移动事件数据集，可用于预测和异常检测。
Score
68
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
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 size (indicative estimate)
全球物流大数据市场规模在 2023 年估值为 43 亿美元，预计复合年增长率为 21.5%（2024-2032 年）。
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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
移动事件数据集
Modality
时间序列
Sector
mobility
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
Quant funds & demand-forecasting AI teams
Vanduuren 持有一个全面的移动事件数据集，结构为时间序列，源自其核心业务记录、实时事件流和详细的地理数据。该丰富的数据集捕获了货运的完整生命周期，使其时间性和粒度特性特别适合 AI 驱动的预测应用，例如预测需求、运输时间和潜在的运营延误。
该数据的商业价值在全球物流大数据市场中得到凸显，该市场在 2023 年的估值为43 亿美元，预计将以21.5% 的复合年增长率增长。[1] 虽然访问需要应对客户数据匿名化、网络数据的多方同意以及 PII 的 GDPR 合规性等复杂性，但这种运营数据的稀缺性和深度为旨在优化复杂供应链网络的 AI 买家提供了显著的竞争优势。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：运营数据与需要严格匿名化的客户货运详情交织在一起；网络数据涉及第三方合作伙伴的绩效，可能需要多方同意；实时跟踪数据包含 PII（司机/收件人），根据 GDPR 属于敏感信息 · 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 Vanduuren 运营着一个专有的泛欧网络，生成实时物流数据。这种高稀缺性的移动事件数据集非常适合训练复杂的预测模型，以预测供应链中断和需求变化。对于量化基金和 AI 团队来说，在预计每年增长超过 21% 的全球物流数据市场中，这些数据提供了一个独特的阿尔法来源。
See dimension details ↓- Dataset Specificity78
主导的“事件流”，行业 mobility，2 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
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 Value74
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 Demand90
AI 买家需求极高，这得益于在以 21.5% 的复合年增长率增长的物流数据市场中对实时洞察和运营效率的关键需求。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
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 License28
所有权=混合，许可=gdpr_sensitive
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 Orientation73
3 个数据胃口信号（3 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 Audit100
✓ 良好目标 — Vanduuren 是一个理想的目标，作为一家欧洲物流领域的运营中小企业，它作为副产品生成专有的货运和车队数据，并在其隐私政策中明确表示不销售数据。[3, 4, 2] 问题：'Van Duuren' 这个名字在荷兰物流行业很常见，存在其他不同的家族企业（例如，Jan van Duuren & Zn BV），这需要仔细甄别；该公司的网站主要是 vanduuren.nl，尽管提供的 .com 地址正确重定向。[1]
- Deep Qualification90
⚠ 需要审查 — 尽管目标公司拥有连贯且有价值的移动数据集，但其隐私政策明确禁止向第三方出售数据，使其成为一个受限的机会。[数据归其客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这些证据指向一个专有的时间序列的实时信息流，捕获了高质量泛欧网络中的运营事件。
Geospatial data
这表明拥有已建立的欧洲运输路线上的结构化地理空间数据，包括合作伙伴网络和已知的运营限制。
business_records
其“控制塔”系统中的此样本表明内部流程文档提供了有关端到端物流数据如何被管理和控制的背景信息。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Vanduuren Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Big Data in Logistics Market size was valued at $4.3 billion in 2023, with a projected CAGR of 21.5% (2024-2032) (source: Global Market Insights). [1]. Investment score 68.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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