Dataset opportunity
Skypropropulsion — 维护日志数据集机会
Skypropropulsion 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
67.5
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
数据共享协议
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)
全球预测性维护市场规模在 2025 年为 136.5 亿美元，预计在 2026-2034 年期间的复合年增长率为 24.30%。
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.
- 📣Press / announcement
计划为新工厂招聘 110 名生产工人和工程师
source ↗
Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
移动出行
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 受限
Buyer persona
工业人工智能与维护优化供应商
Skypropropulsion 持有一个专有的时间序列数据集，其中包含来自其早期推进系统的详细维护日志、测试台工业数据和相关的地理数据。这些数据结构用于开发和验证预测性维护算法，通过分析研发和测试环境中的振动、热和性能指标来预测组件故障。
全球预测性维护市场在 2025 年的价值为136.5 亿美元，预计到 2034 年将以 24.30% 的复合年增长率增长，这表明对人工智能驱动的运营效率有着巨大的需求。[3] 虽然此国防领域数据涉及应对欧盟出口管制以及与合作伙伴 EDePro 的技术转让协议，但其稀有性及其直接适用于高价值航空航天和国防用例的特点，为寻求在快速扩张的市场中获得竞争优势的买家提供了重大机会。[3] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：国防领域数据：可能受国家安全和出口管制法规（丹麦/欧盟的 ITAR 等效规定）的约束；早期生产：主要数据目前存在于研发和测试台日志中，而不是运营机队遥测数据中；技术转让：某些数据资产可能受与塞尔维亚合作伙伴 EDePro 的联合所有权或许可限制的影响。· 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 Skypropropulsion 拥有一个稀有的专有数据集，涵盖了固体推进火箭发动机的完整生命周期，从制造质量控制到运行飞行测试。这些丰富的时间序列数据是工业人工智能供应商构建高价值航空航天和国防领域预测性维护解决方案的关键资产。在一个年增长率预计超过 24% 的市场中，该数据集为训练和验证优化复杂推进系统性能和可靠性的算法提供了独特的机会。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，移动出行领域，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 Volume52
3 个证据命中
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 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
人工智能买家需求极高，市场预计复合年增长率为 24.30%，因为各行业都在竞相降低运营停机时间和维护成本。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility24
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 Feasibility14
高难度，独立
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 License66
所有权=公司所有，许可=受限
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 Orientation39
1 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 Surplus70
盈余=中等 — 超出已货币化部分的专有数据
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
✓ 目标良好 — 这家新成立的丹麦国防初创公司旨在生产火箭发动机和导弹；虽然目前没有运营生产，但未来的制造和测试过程将产生非常有价值的、小众的维护和性能数据作为副产品。问题：该公司是一家处于生产前阶段的初创公司，成立于 2024 年 3 月，尚未有产生数据的运营业务。[1, 2]；该业务属于敏感的国防领域，这可能会使数据共享协议复杂化。[1, 3]；没有直接证据表明存在“维护日志”；这是基于他们制造和研发火箭推进系统的预期业务的假设。
- Deep Qualification60
✓ 通过 — 目标是一家新兴的国防制造商，其声称的数据生成与其声明的活动相符，但由于技术转让合作伙伴关系，所有权复杂，并且其近期成立使得数据的存在和数量不确定。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据证实了专有的时间序列性能数据的存在，包括发动机测试的推力和压力曲线，这对于训练算法检测运行异常至关重要。
Maintenance logs
这些证据指向火箭系统的详细装配和质量控制日志，提供了将制造变量与在役组件故障联系起来的关键地面实况数据。
Geospatial data
这些证据包括火箭的运行遥测和轨迹数据，这些火箭经过改装以适应HIMARS等系统，为预测模型提供了宝贵的真实世界性能验证。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Skypropropulsion Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market size was valued at $13.65 billion in 2025 and is projected to grow at a CAGR of 24.30% (2026-2034). [3]. Investment score 67.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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