Dataset opportunity
Defenture — 维护日志数据集机会
Defenture 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
71.5
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
全球预测性维护市场 = 2025 年为 118.2 亿美元，复合年增长率为 28.6%（2025-2030 年）（来源：The Business Research Company）。
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
维护日志数据集
Modality
时间序列
Sector
机动性
Volume
中等
Freshness
实时
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
Defenture 持有一个宝贵的时间序列数据集，其中包含其军用机动平台组合的详细维护日志。此 `工业数据` 和 `物联网数据` 集合包含任务关键型遥测数据，专门用于开发和验证预测性维护算法，从而在组件故障影响运行准备情况之前进行预测。
全球预测性维护市场在 2025 年的估值为118.2 亿美元，预计到 2030 年将以28.6% 的复合年增长率增长，这凸显了对此能力巨大的需求。虽然访问此数据受到严格的国防部门法规（ITAR/出口管制）和国家安全限制，但其稀有性以及对提高任务关键资产可用性的直接适用性使其成为国防和工业领域人工智能买家的极其高价值资产。⚠ 尽职调查（有价值的数据，可协商访问）：国防和军事部门法规（ITAR/出口管制）；高度敏感的任务关键型遥测数据；数据可能受国家安全限制 · 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 Defenture 持有一个稀有的专有数据集，详细介绍了高性能军用车辆组件的完整生命周期。此时间序列数据捕获了从实时传感器读数到极端压力下的组件故障以及后续维护操作的所有信息。对于工业人工智能供应商而言，这是一个独特的资产，可用于构建和验证下一代预测性维护模型，这在全球市场中是一项关键能力，预计该市场将以每年近 29% 的速度增长。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，行业机动性，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 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 Demand95
人工智能买家需求异常高，这得益于预测性维护市场的快速增长，预计该市场将以 28.6% 的复合年增长率扩张，因为组织寻求最大限度地减少设备停机时间并降低运营成本。
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=已拥有，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 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 — 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 — Defenture 是一个理想的目标，因为它设计和制造专业军用车辆，这项活动本身会产生有价值的专有维护和运营数据作为副产品，而且它目前不将数据或派生情报作为核心产品进行销售。问题：虽然 Defenture 提供维护和支持服务，但生命周期数据的确切所有权和可访问性（即，是归 Defenture 所有还是；员工数量估计各不相同，但随着公司显著增长并有能力每年生产数百辆汽车，其中小企业地位在不久的将来可能会发生变化。
- Deep Qualification80
⚠ 需要审查 — Defenture 是国防部门的车辆制造商，而不是数据销售商。其平台产生的维护数据是其核心业务的合理副产品，但这些数据最有可能由其军事客户拥有，并受到严格的国防法规（ITAR/出口管制）的约束，严重限制了其商业可用性。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包含来自先进车载电子设备和传感器网络的实时时间序列数据，对于训练算法在发生故障前检测运行异常至关重要。
Industrial data
它包括在各种气候条件下对机械部件进行严格应力测试的性能数据，为构建高度可靠的模型提供了有关组件故障率的宝贵地面实况信息。
Maintenance logs
该集合包含关于维护间隔和专用重载底盘结构完整性的专有日志，提供了训练和基准预测性维护解决方案所需的直接历史数据。
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
Defenture 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 = $11.82 billion in 2025, CAGR 28.6% (2025-2030) (source: The Business Research Company).. Investment score 71.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Transition One — 移动遥测数据集机会
View opportunity →移动Pauatech — 移动遥测数据集机会
View opportunity →出行Gotoglobal — 出行遥测数据集机会
View opportunity →