Dataset opportunity
Resolvemarine — 移动遥测数据集机会
Resolvemarine 持有的中等规模移动遥测数据集，可用于预测性维护和异常检测。
Score
79.7
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
63%
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)
全球海事预测性维护市场 = 2024 年为 4.33 亿美元，复合年增长率为 21.6%。
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
移动遥测数据集
Modality
时间序列
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Resolve Marine 拥有一个独特的移动遥测数据集，该数据集收集于 40 多年的全球打捞作业中，以时间序列的形式呈现。这些工业数据、物联网数据、业务记录和图像的集合为开发和训练高保真预测性维护算法提供了丰富、多模态的基础，以预测海事资产的设备故障。
该数据面向快速增长的海事预测性维护市场，该细分市场在 2024 年的价值为4.33 亿美元，预计将以21.6% 的复合年增长率扩张。虽然访问需要进行谈判，因为政府指导的打捞作业和专有工程模型具有敏感性，但该数据集无与伦比的历史深度和全球范围代表着寻求抓住这一高增长市场的 AI 买家的一项稀有且有价值的资产。⚠ 尽职调查（有价值的数据，可协商访问）：政府指导的打捞作业数据可能存在保密限制；专有的船舶设计和工程模型是核心知识产权；历史打捞记录跨越 40 年，遍布各大洲 · 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 Resolvemarine 持有一个专有的时间序列数据集，涵盖了6,500 多个标记的海事资产，为训练预测性维护模型提供了稀有的真实世界基础。对于工业人工智能供应商而言，这是开发针对快速增长的 4.33 亿美元海事领域解决方案的直接途径，在该领域，防止资产故障是关键的经济驱动因素。该数据源自数十年的高风险打捞和响应作业，表明其在捕捉系统压力和故障模式方面具有独特的丰富性。
See dimension details ↓- Dataset Specificity90
主导的“物联网数据”，行业为移动，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 Volume64
5 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 Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求异常高，这得益于在预测复合年增长率为**21.6%**的市场中降低运营停机时间和成本的迫切需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Strength86
5 种证据类型，5 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=公司所有，许可=干净
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 Orientation67
3 个数据需求信号（2 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 Audit92
✓ 良好目标 — Resolve Marine 是一个不错的目标，因为它是一家全球性海洋服务公司，拥有庞大的船队和运营资产，很可能在其核心业务（非数据销售）的副产品中生成有价值的遥测和运营数据。问题：该公司有一个工程部门，并且过去收购了一家软件公司，这需要进行验证，以确保其核心业务没有转移
- Deep Qualification90
✓ 通过 — Resolve Marine 是一家服务公司，其运营可能产生假设的遥测数据，但来自客户项目的客户数据所有权可能受到限制或归客户所有，这使得货币化具有挑战性。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
这些证据指向一个结构化的全球海事运营数据库，详细说明了超过 120 个港口的后勤协调和法规遵从性，这对于为人工智能模型添加上下文特征很有价值。
IoT / sensor data
这是来自6,500 多个标记资产的大规模时间序列数据集的直接证据，提供了训练预测性维护算法所需的底层遥测数据。
Image collection
持有者拥有来自无人机和水下调查的独特图像集，非常适合训练计算机视觉模型，用于自动化损坏评估和资产检查。
Industrial data
这些时间序列数据量化了超过184,000 吨的清除污染物，提供了强大的故障事件及其后果的历史记录，这对于建模运营风险和投资回报至关重要。
business_records
这些记录证实了40 年的全球打捞和工程项目历史，建立了深厚的领域专业知识以及在各种运营条件下长期、一致的数据生成过程。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Resolvemarine Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance in Maritime Market = $433 Million in 2024, CAGR 21.6% (source: Market.us). Investment score 79.7/100 (confidence 0.63). Recommended action: Acquire.
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