Dataset opportunity
Geoquip Marine — 工业运营数据集机会
Geoquip Marine 持有的中等工业运营数据集，可用于工业监控和预测。
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
49%
Action
合作（集团层面）
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)
全球海上岩土工程服务市场 = 2024 年为 39 亿美元，复合年增长率为 7.1%（来源：Market Intelo）。[3]
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
公司所有 — 许可权待澄清
Buyer persona
工业人工智能集成商
Geoquip Marine 拥有大量来自海上场地调查的岩土工程数据。该数据集具有时间序列模式，包含高复杂度的 CPT 和钻孔日志，提供详细的工业数据和地理数据。它直接适用于训练和验证旨在对海底条件和海上资产基础进行工业监控的 AI 模型。
该数据的价值体现在全球海上岩土工程服务市场，该市场在 2024 年的价值为39 亿美元，预计将以7.1% 的复合年增长率增长。[3] 虽然访问需要处理与能源客户的合同敏感性并与母公司三井物产达成一致，但该数据对于优化高价值海上项目的稀缺性和关键性质使其成为专业 AI 买家的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：三井物产子公司（2023 年收购），需要集团层面的协调；数据所有权通常与海上能源客户共享（合同敏感性）；岩土工程数据集（CPT、钻孔日志）的技术复杂性高。· 公司：三井物产子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据共同证明 Geoquip Marine 拥有来自数十年全球海上运营的庞大专有岩土工程数据存储库。该独特数据集包含海底条件的高分辨率时间序列测量，是工业人工智能集成商的关键资产。它直接支持开发先进的工业监控和预测模型，用于在快速扩张的 39 亿美元海上服务市场（年增长率超过 7%）中进行选址和风险管理。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”，行业为工业，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 Volume68
3 个证据命中，明确提及数据量
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 Value74
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 Demand80
人工智能买家对专业工业数据需求强劲，这得益于优化不断增长的海上岩土工程服务市场运营的需求，该市场预计复合年增长率为 7.1%。[3]
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 Feasibility0
高难度，三井物产子公司
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 License70
所有权=已拥有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
三井物产子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 个数据胃口信号（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，2 个近期外部信号 — 超出已货币化数据的专有数据
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 Audit50
⚠ 审查 — 公司核心业务是向客户销售岩土工程数据采集和解释服务，使其成为数据/情报提供商，而不是休眠数据持有者。问题：公司主要产品是为客户采集、解释和交付岩土工程数据；这是其核心业务，而不是副产品；公司明确将自己定位为“岩土工程数据采集公司”和“海底地理解决方案提供商”，其服务
- Deep Qualification80
✓ 通过 — Geoquip Marine 是一家为特定客户项目收集和解释岩土工程数据的服务提供商；它不将此数据作为独立产品出售。数据所有权可能与客户共享，合同限制较多，导致转售权不明确。然而，存档数据是
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/Yka928KlhZI0-y_cB7ulPzyVWwntlfNwIRc9tBw-IDM/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy04MTA2MDgyMS5qcGc=.webp" /></div></figure><p>The lease cancellations “are causing ongoing harm” to California, which has “invested more than $100 million to support the development of wind energy,” the state’s attorney general said.</p>”
- “<p>The unique demands of floating offshore wind turbines require a blend of specialized coating systems engineered to help prevent corrosion and extend asset service life in some of the world’s harshest environments.</p> <p>The post <a href="https://www.powermag.com/blending-marine-and-energy-technologies-for-floating-offshore-wind/">Blending Marine and Energy Technologies for Floating Offshore Wind</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><img alt="Floating Offshore Wind Foundation Source PPG" class="attachment-post-thumbnail size-post-thumbnail wp-p”
Geospatial data
此表格数据记录了来自全球站点的全面海底调查，为海上基础设施项目的岩土工程风险模型提供了重要的地面实况用于训练和验证。
Industrial data
此高分辨率时间序列数据捕获了关键的地下指标，如土壤阻力和孔隙压力，直接支持用于工业监控和实时海底表征的人工智能模型。
Data-volume signal
该数据集的巨大体量，是在数十年来从不同海洋环境中收集的，代表了一个独特的历史存储库，可用于构建具有显著竞争优势的强大人工智能模型。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Decades of historical data
Update frequency
Periodic
Delivery
CSV export
Formats
CSV, Proprietary logs
License
One-time license for internal use, AI model training, and validation. Subject to contractual sensitivities with energy clients.
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 proprietary, high-complexity geotechnical time-series data from offshore operations, crucial for AI training in the growing $3.9B offshore geotechnical services market. Its rarity and direct application to industrial monitoring and asset foundation analysis justify a premium.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Geoquip Marine Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Offshore Geotechnical Services Market = $3.9B in 2024, CAGR 7.1% (source: Market Intelo). [3]. Investment score 45.0/100 (confidence 0.49). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Omnifab — 维护日志数据集机会
View opportunity →工业Apl Datacenter — 维护日志数据集机会
View opportunity →工业Capnor — 检验报告数据集机会
View opportunity →