Dataset opportunity
Skarvshipping — 移动遥测数据集机会
Skarvshipping 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
66.1
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%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-10-05
Skarv Shipping Solutions anuncia recepción del Peak Skarv 4
portalportuario.cl ↗
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
Skarvshipping 持有的移动遥测数据集由其船舶运营的时间序列数据组成。这些`工业数据`和`物联网数据`的集合，包括传感器读数和业务记录，为构建预测性维护模型奠定了坚实的基础，以预测设备故障并优化维护计划，直接支持船队的可靠性和效率。
全球海事预测性维护市场在 2024 年的估值为4.33 亿美元，预计将以惊人的 21.6% 的复合年增长率增长。这一显著的市场增长凸显了 Skarvshipping 数据的价值。虽然合资结构和具体的租船协议可能带来数据治理的复杂性，但该数据集对脱碳用例的专业关注使其成为绿色航运领域人工智能买家的稀有且具有战略价值的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：Grieg Edge 和 Peak Group 之间的合资结构可能使数据治理复杂化；运营数据与特定的船舶租约和技术管理协议相关联；专注于绿色航运意味着数据高度专业化，适用于脱碳用例 · 公司：Grieg Edge 和 Peak Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Skarvshipping 持有专有的稀有数据集，详细记录了其可持续航运船队的真实船舶性能。数据结合了关于发动机效率的高频传感器读数和运营记录，创建了一个独特的资产，用于训练复杂的预测性维护算法。对于工业人工智能供应商而言，这是开发和验证针对快速增长的海事领域模型的直接途径，该市场预计在 2024 年将超过 4.33 亿美元，复合年增长率为 21.6%。
See dimension details ↓- 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 Feasibility15
中等难度，Grieg Edge 和 Peak Group 的子公司
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=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. - Dataset Specificity78
占主导地位的“物联网数据”，行业移动，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 Volume52
3 次证据命中
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 Value74
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
人工智能买家的需求受到海事预测性维护市场显著增长的驱动，该市场正以 21.6% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Corporate Independence50
Grieg Edge 和 Peak Group 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 数据需求信号（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，1 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 Audit92
✓ 良好目标 — Skarv Shipping 是一家挪威合资企业，其核心业务是可持续的近海货运，拥有新船队，使其运营遥测数据成为有价值的、未被开发的副产品。问题：该公司是两个较大集团（Peak Group 和 Grieg Edge）之间的合资企业，这可能会使决策复杂化。[1]；其船队是新的，仍在交付过程中（2025-2027 年），因此历史数据量最初可能有限。[10, 12]
- Deep Qualification70
✓ 通过 — Skarv Shipping Solutions 是一家海事物流运营商，这使得移动遥测数据集作为其运营的副产品是合理的。然而，其合资结构以及船舶租给客户的事实，在数据所有权和商业化权利方面造成了显著的不确定性。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
持有者拥有其船队的高频物联网遥测数据，捕获了关键绩效指标，如发动机效率和燃油消耗，这些对于训练故障预测模型至关重要。
Industrial data
这些时间序列数据提供了与特定运营相关的详细排放概况（CO2、NOx、SOx），使得能够开发优化性能和可持续性要求的 AI 模型。
business_records
这些运营记录增加了关键的运营背景，记录了直接影响遥测和工业数据的货物运输和航线优化决策。
Marketplace
Dataset details
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
Skarvshipping 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 66.1/100 (confidence 0.49). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Gideon — 图像数据集机会
View opportunity →工业Dexory — 图像数据集机会
View opportunity →工业Prokon — 维护日志数据集机会
View opportunity →