Dataset opportunity
Terradat — 工业运营数据集机会
Terradat 持有的中等规模工业运营数据集，可用于工业监控和预测。
Score
47.5
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)
全球岩土工程仪器和监测市场在 2023 年的价值超过 40 亿美元，预计复合年增长率超过 10%（2024-2032 年）（来源：Global Market Insights）。[2]
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
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能集成商
TerraDat 拥有重要的工业运营数据集，主要由来自原始地球物理传感器的时间序列数据组成。该集合包含 `geo_data` 和 `image_collection` 证据，为训练复杂的工业工业监测人工智能模型提供了丰富的基础，并利用了可追溯至 1992 年的独特历史档案。
该数据的商业价值在全球地球物理仪器和监测市场中得到体现，该市场在 2023 年的价值超过 40 亿美元，预计将以超过 10% 的复合年增长率增长。[2] 尽管由于数据所有权复杂性，访问权限需经协商，但该数据集的稀有性和历史深度代表了开发先进地下人工智能模型的关键资产，使其成为战略买家的宝贵机会。[2] ⚠ 尽职调查（有价值的数据，可协商访问）：数据所有权可能在 TerraDat 及其最终客户之间划分（合同敏感性）。；原始地球物理传感器数据需要专业解读，但对于训练地下人工智能模型极具价值；可追溯至 1992 年的历史档案代表了重要的沉睡资产。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实了 Terradat 对专有地球物理和地球物理勘测数据的拥有权，核心重点是工业场地特征描述的时间序列输出。该数据集直接服务于快速增长的工业监测市场，使人工智能集成商能够开发用于能源和矿业等行业的资产管理和预测性维护的先进模型。鉴于该市场从超过 40 亿美元的基础上预计每年增长 10%，这些稀有、高分辨率的数据为开发下一代人工智能解决方案提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“工业数据”，行业为工业，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 Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于工业监测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand80
人工智能买家需求强劲，这得益于地球物理仪器和监测市场的显著增长，预计该市场将以**超过 10% 的复合年增长率**扩张。[2]
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. - 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 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 数据偏好信号（0 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 Audit58
⚠ 审查 — 该公司的核心业务是销售地球物理勘测服务以及由此产生的数据/情报，使其成为数据/情报销售商，而不是沉睡数据的持有者。问题：公司名称 Terradat 是其业务与数据相关的有力指标；该公司明确将自己描述为提供“可操作的地下测绘数据”和“地球物理情报”作为一项服务。[4, 7]；其整个商业模式都基于为客户进行勘测和提供服务。
- Deep Qualification80
⚠ 需要审查 — TerraDat 是一家地球物理勘测服务公司，为其客户生成项目特定的数据；它不将数据作为核心产品出售。主要挑战在于生成的数据归委托工作的客户所有，使其成为不易获得的受限资产[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
持有者拥有来自地震折射和探地雷达（GPR）勘测的表格数据，这对于为建筑和资源勘探项目创建基础地面模型至关重要。
Image collection
该数据集包括来自航空激光雷达和无人机勘测的高分辨率地形和结构影像，对于创建详细的 3D 场地地图和监测地表变化随时间的变化非常宝贵。
Industrial data
这些核心时间序列数据源自高价值工业应用的地球物理勘测，包括矿产勘探和能源场地特征描述，为预测性监测人工智能提供了关键输入。
Marketplace
Dataset details
Geographic coverage
Global
Time range
1992–Present
Update frequency
Periodic
Delivery
Negotiated
Formats
Time Series, Geophysical Data, Image Collection
License
Subject to negotiation due to data ownership complexities.
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 high rarity as proprietary geophysical sensor time-series data dating back to 1992, directly serving the rapidly growing industrial monitoring market. The projected CAGR of over 10% in the Geotechnical Instrumentation and Monitoring market indicates strong demand for such specialized data.
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
Terradat Public Collection — a Large public dataset collection (Tabular modality) in the industrial domain. Primary AI use-case: Evaluation. Market signal: Global geophysical services market was valued at $15.8 billion in 2024, with a projected CAGR of 6.3% (2025-2034). [2]. Investment score 71.0/100 (confidence 0.65). Recommended action: Data Sharing Agreement.
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