Dataset opportunity
Actamarine — 移动遥测数据集机会
Actamarine 持有的中等移动遥测数据集，可用于预测性维护和异常检测。
Score
72.9
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 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.
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
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Actamarine 拥有一个结构为时间序列数据的移动遥测数据集，该数据源自其 developer_portal、event_streams、industrial_data 和 iot_data。该数据集包含详细的船舶遥测和系统日志，直接适用于开发高保真预测性维护模型，以预测海上资产的设备故障。
预测性维护在全球海事行业的市场规模估计为4.33 亿美元（2024 年），预计复合年增长率为 21.6%，这表明买家需求强烈。[1] 尽管存在访问复杂性，例如需要硬件级提取的专有日志或保密协议，但此industrial_data的稀有性和高运营价值使其成为寻求在此快速增长市场中获得竞争优势的 AI 买家的关键资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：运营数据可能受特定租船方保密协议的约束（例如，风力发电场开发商）。; 船舶遥测和 DP2 系统日志是专有的，但可能需要硬件级提取。; 安全和转移记录价值很高，但涉及运营敏感性。 · corporate: independent。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Actamarine 拥有一个专有的遥测数据集，该数据集捕获其专业海上支援船的连续发动机性能和运营数据。这种高稀有度的真实世界数据对于开发海事行业预测性维护模型的工业人工智能供应商至关重要。在一个年增长率超过 21% 的市场中，该数据集提供了预测组件故障、优化船舶正常运行时间以及抓住快速扩张的海事人工智能机会的必要基础。
See dimension details ↓- Dataset Specificity90
占主导地位的 'iot_data'，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 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 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 买家需求极高，这得益于海事行业预测性维护解决方案的快速增长市场，复合年增长率为 21.6%。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
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 License70
所有权=公司所有，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 个数据胃口信号（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 Audit100
✓ 良好目标 — Acta Marine 是一个理想的目标，因为它是一家海上支援中小型企业，拥有 40 多艘船队，作为其核心业务的副产品生成专有遥测数据，并且目前不销售这些数据。
- Deep Qualification80
✓ 通过 — Actamarine 是海上风电行业的一家船舶运营商，生成对预测性维护高度相关的有价值的遥测和运营数据。然而，数据所有权很可能与其客户（例如 RWE、Vestas）在长期租赁协议下共享或受其限制，并且没有公开文件澄清数据转售权。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
这证实了数据源自领先行业开发商和承包商租用的船舶，验证了其与高风险商业海事应用的相关性。
IoT / sensor data
该数据集包含来自船舶物联网系统的连续时间序列数据流，捕获了对训练预测性维护算法至关重要的关键发动机性能和定位信息。
Industrial data
超过 50,000 个舷梯连接的证据表明该数据集具有高容量和运营密度，为模拟组件磨损和运营效率提供了丰富的事件来源。
Event streams
数据包括在恶劣天气条件下的性能跟踪，提供了稀有且有价值的事件流，用于模拟设备压力并在运营极限的边缘预测故障。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Actamarine 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 72.9/100 (confidence 0.56). Recommended action: Acquire.
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