Dataset opportunity
Terra Modus — 工业运营数据集机会
Terra Modus 持有的中等工业运营数据集，可用于工业监控和预测。
Score
76.7
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
56%
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
全球数字孪生市场在 2023 年的估值为 129.1 亿美元，预计到 2032 年将达到 2593.2 亿美元，复合年增长率为 39.8%。[9]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-13
Baffinland gets $110M loan, court-approved extension
mining.com ↗ - 📰press2026-06-12
Silver stockpile drawdown risk is misunderstood
mining.com ↗ - 📰press2026-06-12
Mining’s next boom is off the map: Arctic ice, abyssal plains and asteroids
mining.com ↗ - 📰press2026-06-12
Hertha Metals targets rare earth magnet supply gap with Texas high-purity iron plant
mining.com ↗ - 📰press2026-06-12
Triple Flag buys gold stream on Ravenswood mine for $440M
mining.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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清
Buyer persona
工业人工智能集成商
Terra Modus 持有结构为时间序列数据的综合性工业运营数据集，包含 `industrial_data`、`iot_data`、`geo_data` 和 `image_collection` 等证据。这种丰富、多模态的构成，包含激光扫描和 BIM 模型等技术数据，专门用于开发和训练复杂的工业监控人工智能应用，提供工业环境和资产随时间的详细视图。
相关技术市场的显著增长凸显了商业价值；例如，全球数字孪生市场在 2023 年的估值为 129.1 亿美元，预计到 2032 年将增长到 2593.2 亿美元，复合年增长率高达 39.8%。[9] 这表明买家对能够创建虚拟副本进行监控和预测性维护的数据有强烈的需求。虽然访问需要协商——因为交付成果的主要数据所有权通常属于客户，并且使用原始3D 点云数据的权利需要澄清——但该数据集的技术深度使其成为人工智能训练的稀有且有价值的资产，证明了所需的领域特定处理是合理的。⚠ 尽职调查（有价值的数据，可协商访问）：特定交付成果的主要数据所有权通常属于客户；原始 3D 点云数据可能保留在内部档案中，但需要澄清人工智能训练的权利；数据技术性强（激光雷达/BIM），需要领域特定处理。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同表明，Terra Modus 拥有专有的多模态数据集，可用于创建工业资产的高保真数字孪生。该数据结合了3D 模型、地形测量和地下基础设施测绘，直接满足了工业人工智能集成商构建先进监控和模拟解决方案的需求。在预计到 2032 年将达到 2593.2 亿美元的数字孪生市场中，这一独特的数据集提供了建模和优化复杂工业运营所需的根本真实数据。
See dimension details ↓- Dataset Specificity100
主导的‘industrial_data’，行业为工业，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 Rarity94
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 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
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
全球制造业人工智能市场预计将从 2025 年到 2030 年以 46.5% 的复合年增长率增长，这得益于优化生产、提高质量控制和减少停机时间的需求。
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 Strength74
4 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. - Data Orientation50
2 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，5 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 Audit67
⚠ 审查 — 该公司的核心业务是销售 3D 扫描服务、软件和衍生数据产品，使其成为情报/数据供应商，而不是休眠数据持有者。问题：提供的 URL (terra-modus.co.uk) 与可能的目标不符；此分析针对立陶宛公司 Terra Modus UAB (terramodus.lt)，该公司；该公司主要业务是捕获现实世界数据并将其作为处理后的产品（CAD 文件、BIM 模型）出售，这是核心排除标准。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
该公司生成详细的地形测量，提供大规模场地建模和基础设施规划所需的关键 2D 和 3D 地理空间上下文。
Image collection
该数据集包括建筑物的高清晰度 3D 激光扫描，用于创建精确的点云模型，这对于竣工验证和资产管理至关重要。
Industrial data
这些证据表明从原始测量数据创建了智能3D 模型（BIM），为先进的建筑和工程模拟提供了结构化、富含元数据的基础。
IoT / sensor data
持有者使用探地雷达 (GPR) 捕获地球物理时间序列数据，从而能够对地下基础设施进行关键测绘，以防止昂贵的撞击并完成场地的数字记录。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, 3D Models, Lidar Scans, BIM
License
One-time license for development and training of Industrial Monitoring AI applications.
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, multi-modal industrial operations dataset, including Lidar and BIM, is highly valuable for AI-driven industrial monitoring and digital twin development. The strong growth in the digital twin market (CAGR 39.8%) indicates significant 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
Terra Modus Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Digital Twin Market was valued at $12.91B in 2023, projected to reach $259.32B by 2032, with a 39.8% CAGR. [9]. Investment score 76.7/100 (confidence 0.56). Recommended action: Acquire.
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