Dataset opportunity
21Air — 维护日志数据集机会
21Air 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
66.2
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)
全球飞机预测性维护市场 = 2024 年为 53 亿美元，复合年增长率为 13.1%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-07
Un 767 de Prime Air se sale de pista al aterrizar en Miami y causa cinco muertos
aerotendencias.com ↗
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
与 Avia Solutions Group 建立战略合作伙伴关系以实现全球扩张
source ↗
Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
21Air 持有一个全面的维护日志数据集，采用时间序列模式，源自业务记录、物联网数据和详细的维护日志。这些数据提供了飞机组件性能、维修和运行状态的详细历史记录，可直接用于训练复杂的预测性维护模型，以预测故障并优化 MRO（维修、修理和大修）计划。
全球航空预测性维护市场是一个重要且快速扩张的领域，2024 年市场价值为53 亿美元，预计将以13.1% 的复合年增长率增长。[2] 这种高增长环境凸显了此类运营数据的稀缺性和巨大的商业价值。虽然由于严格的 FAA/NTSB 监管、一项重大的事故调查以及母公司的影响，获取数据存在复杂性，但获得竞争优势的独特机会使克服这些挑战成为一项有价值的努力。⚠ 尽职调查（有价值的数据，可协商的访问权限）：航空数据受严格的 FAA 和 NTSB 监管审查；目前涉及一项重大事故调查，可能冻结运营数据访问；所有权可能受到母公司 Avia Solutions Group 的影响。· 公司：Avia Solutions Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 21Air 拥有一个专有数据集，结合了其运营中的波音 767 货运机队的详细维护日志和运营物联网数据。这些丰富的时间序列数据直接满足了工业人工智能供应商在开发和验证预测性维护模型方面的核心需求。在全球飞机预测性维护市场预计到 2024 年将达到53 亿美元的背景下，该数据集提供了一个难得的机会来构建优化机队运营和减少昂贵停机时间的解决方案，而背景性的业务记录则提供了对真实世界运营压力的独特视角。
See dimension details ↓- Dataset Specificity78
主导的“维护日志”，出行行业，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 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 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
人工智能买家需求极高，这得益于航空预测性维护市场的快速增长，该市场正以 13.1% 的复合年增长率扩张。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - 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 Feasibility0
高难度，Avia Solutions 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. - Corporate Independence50
Avia Solutions Group 的子公司
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 Surplus92
盈余=高，1 个近期外部信号 — 超出已货币化的专有数据
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 Audit100
✓ 良好目标 — 21 Air 是一家运营的全货运航空公司，为亚马逊和 DHL 等客户运营机队，作为其核心业务的副产品生成有价值的维护日志数据，使其成为一个良好的目标。问题：该公司网站（21air.us）目前专注于 2026 年 9 月 6 日的近期飞机事故，关于其常规业务的信息很少；前员工对安全和维护实践提出了公开指控，目前正在进行一项待决的法律案件。[22]
- Deep Qualification90
⚠ 需要审查 — 目标是一家货运航空公司，其维护数据是合理的运营副产品，但由于近期致命事故调查、严格的监管审查以及有指控的安全和维护报告问题历史，其访问权限受到严重损害。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Maintenance logs
证据证实存在波音 767 机队的详细维护日志，为人工智能供应商训练组件故障预测模型提供了必需的地面实况数据。
IoT / sensor data
该公司从飞行记录器和发动机监控系统生成运营物联网数据，这是训练预测性维护算法的主要传感器输入。
business_records
这些关于货物重量和物流的专有业务记录为模拟真实世界运营压力如何影响组件磨损和维护计划提供了关键背景。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
21Air Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Airplane Maintenance market = $5.3B in 2024, CAGR 13.1% (source: Global Market Insights). Investment score 66.2/100 (confidence 0.49). Recommended action: Partnership (group-level).
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