Dataset opportunity
Vrt — 移动与地理空间数据集机会
Vrt 持有的中等移动与地理空间数据集，可用于地理人工智能和路由与预测。
Score
45
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
51%
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)
全球地理空间分析市场预计将从 2026 年的 1173.0 亿美元增长，复合年增长率为 12.90%。
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.
- ✨Signal
多波束声纳和激光扫描数据集成
source ↗
Profile
Dataset profile
Type
移动与地理空间数据集
Modality
表格
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
地理空间人工智能与移动分析团队
Vrt 持有一个专门的移动与地理空间数据集，其中包含港口基础设施结构和水下检查的原始输出。该数据以表格形式提供，包括高分辨率3D点云、声纳数据、来自资产的物联网传感器读数（`iot_data`）以及详细的`maintenance_logs`。这个多源数据集非常适合开发和训练先进的地理人工智能模型，用于预测性维护、资产退化监测和创建数字孪生。
该数据的商业价值巨大，其运营领域为全球地理空间分析市场，预计将从 2026 年的1173.0 亿美元增长到12.90% 的复合年增长率。 [5] 虽然访问需要进行谈判，因为与港务局共同拥有以及随着 Vrt 向 SaaS 模型转型而不断演变的历史数据权利，但核心资产是原始 3D 点云和声纳数据。这对于人工智能买家来说是一个难得的机会，可以在一个快速扩张、高价值的市场中获取用于专有模型开发的基础数据。⚠ 尽职调查（有价值的数据，可协商访问）：数据通常与港务局共同拥有；主要价值在于原始 3D 点云和声纳数据，而非 GISGRO 仪表板；从服务型检查公司向 SaaS 模型转型可能会使历史数据权利复杂化 · 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 Vrt 拥有一个专有数据集，详细说明了关键港口基础设施的物理状况和运营生命周期。该数据融合了高分辨率声纳和激光扫描馈送以及相应的资产管理和工程日志。这种独特的组合非常适合构建基础设施监控和运营效率预测模型的地理人工智能团队，这在全球地理空间分析市场中是一个关键需求，该市场预计每年增长近 13%。该数据集直接支持为全球海事和物流行业开发复杂的数字孪生应用程序。
See dimension details ↓- Evidence Strength65
3 种证据类型，4 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. - Dataset Specificity90
占主导地位的“地理数据”，行业移动，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 Volume58
4 次证据命中
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
适用于地理人工智能
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
买家需求极高，这得益于全球地理空间分析市场预计的 12.90% 复合年增长率，这表明对这种类型的数据进行持续的强劲投资以获得人工智能驱动的竞争优势。 [5]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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. - Data Orientation39
1 个数据需求信号（1 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 Audit50
⚠ 审查 — 该公司，现为 GISGRO Oy，已从物理测量转向专门销售用于港口管理的 SaaS 智能平台，使其成为软件供应商，而不是休眠运营数据的持有者。问题：该公司的核心产品现在是 GISGRO，一个 SaaS 智能平台，这是一个排除的业务模式。 [7, 10]；VRT Finland 于 2021 年将其运营测量业务（数据生成部分）出售给了 Sitowise。 [6]；该公司已更名为 GISGRO Oy，以反映其新的、独家专注于其软件产品的重点。 [10]
- Deep Qualification70
✓ 通过 — VRT Finland 已从服务/数据持有者模式转变为工具供应商，通过出售其检查业务来专注于 GISGRO SaaS 平台。虽然它过去生成了有价值的地理空间数据集，但该数据的所有权现在很可能在新的所有者（Sitowise）和原始客户（港务局）之间划分，使得获取历史数据变得非常复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
证据表明存在一个集成了地理信息系统 (GIS) 数据与项目管理信息的统一平台，为基础设施资产监控提供了有价值的、集成的视图。
IoT / sensor data
这是一个来自多波束声纳和激光扫描的水下和港口结构的高分辨率时间序列数据集，对于创建详细的数字孪生和训练预测性维护模型需求量很大。
Maintenance logs
持有者拥有将资产管理任务与财务和绩效 KPI 联系起来的运营日志，提供了在港口环境中对复杂工程工作流程进行建模和优化的地面真实数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Vrt Mobility & Geospatial — a Moderate mobility & geospatial dataset (Tabular modality) in the mobility domain. Primary AI use-case: Geo AI. Market signal: Global Geospatial Analytics market projected to grow from $117.30 billion in 2026, at a 12.90% CAGR (source: Fortune Business Insights). [5]. Investment score 45.0/100 (confidence 0.51). Recommended action: Acquire.
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