Dataset opportunity
Aerotec — 移动遥测数据集机会
Aerotec 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
70.4
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
51%
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)
全球飞机预测性维护市场在 2025 年的估值为 63 亿美元，预计将以 10.4% 的复合年增长率 (CAGR) 增长（2026-2035 年）。
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.
- ✨Signal
专有遥测系统 (AeroTEC Telemetry)
source ↗
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
混合所有权 — 受限
Buyer persona
工业人工智能与维护优化供应商
Aerotec 持有一个专有的移动遥测数据集，该数据集由高保真时间序列数据组成，包括 `industrial_data`、`iot_data` 和 `maintenance_logs`。这些信息是在高度管制的认证飞行期间生成的，为开发和验证关键航空航天系统的稳健预测性维护算法提供了稀有且详细的基础。
该数据在全球飞机预测性维护市场中运行，该市场在 2025 年的估值为 63 亿美元，预计将以 CAGR 10.4% 的速度增长。[1] 尽管存在复杂的访问条件——包括与原始设备制造商 (OEM) 共享数据所有权、严格的保密协议 (NDA) 和 ITAR 法规——但这种认证飞行数据的稀有性和监管级质量在这个高增长市场中提供了显著的竞争优势。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与航空航天原始设备制造商（波音、三菱、Eviation）共享；受严格的航空航天保密协议 (NDA) 和 ITAR/出口管制法规的约束；主要数据是在认证飞行期间生成的，这是高度管制的。· 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 Aerotec 拥有一项专有的、稀有度高的数据集，该数据集捕获了飞机组件在飞行测试条件下的完整生命周期。该数据结合了来自数千个飞机传感器的实时遥测数据以及详细的工程规范和维护日志。对于工业人工智能供应商而言，这提供了独特的地面实况，用于构建和验证下一代预测性维护模型，满足一个年增长率超过 10% 的市场。
See dimension details ↓- 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…). - Dataset Specificity90
主导的 'iot_data'，行业移动，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
人工智能买家需求受飞机预测性维护市场强劲增长的驱动，该市场预计将以 10.4% 的复合年增长率扩张。[1]
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 Strength65
3 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 License32
所有权=混合，许可=受限
Whether the company can legally license the data out — based on ownership and licensing complexity. - 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 — AeroTEC 是一个强有力的目标，因为其核心业务是提供飞行测试、工程和认证服务，这些服务产生了有价值的遥测数据作为副产品，但没有证据表明它作为独立产品出售。问题：初步搜索结果混乱，显示多个名称不相关的公司，如“Aerotech”或“Aerotek”。正确公司是“AeroTEC - Aerospace Testing Engine”。
- Deep Qualification90
⚠ 需要审查 — Aerotec 为原始设备制造商提供航空航天工程、测试和认证服务。生成的遥测数据是交付给客户（例如三菱、空客、Kepplair）并由客户拥有的工作产品，并受严格的保密协议和 ITAR 法规的约束，这使得转售权受到高度限制。[数据归其客户所有；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
持有者拥有高保真、实时的遥测数据，这些数据来自飞行测试机动期间捕获的数千个机载飞机传感器，是训练复杂异常检测模型的关键输入。
Industrial data
该数据集包括专有的工程和认证数据，详细说明了飞机改装和性能，为验证结构完整性模型提供了重要的地面实况。
Maintenance logs
持有者拥有详细的维护日志，将特定的飞机配置更改与其对后续飞行行为的直接影响联系起来，提供了独特的因果数据集，用于高级诊断。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Aerotec Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global aircraft predictive maintenance market was valued at USD 6.3 billion in 2025 and is expected to grow at a CAGR of 10.4% (2026-2035). [1]. Investment score 70.4/100 (confidence 0.51). Recommended action: Data Sharing Agreement.
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