Dataset opportunity
Atesteo — 工业运营数据集机会
Atesteo 持有的中等规模工业运营数据集，可用于工业监控和预测。
Score
64.3
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)
全球工业分析市场在2025年的估值为339.9亿美元，预计到2030年将达到809亿美元，复合年增长率为18.9%。
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.
- 🧑💻Hiring a data role
招聘测试自动化和数据分析软件工程师
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Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
移动出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能集成商
Atesteo 持有一个重要的工业运营数据集，该数据集由其广泛的车辆和动力总成测试活动产生的时间序列数据组成。这些`industrial_data`和`iot_data`的集合直接适用于构建和训练工业监控人工智能模型，从而在移动应用中实现预测性维护和性能异常检测。
该数据的价值体现在全球工业分析市场上，该市场在2025年的估值为339.9亿美元，预计到2030年将以18.9%的复合年增长率增长至809亿美元。尽管由于OEM客户所有权和Atesteo在IHO Holding下的治理，直接数据访问很复杂，但其独特价值在于可许可的聚合基准和跨制造商性能元数据，这些代表了竞争情报方面稀有且有价值的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：IHO Holding（Schaeffler家族）的子公司，意味着复杂的数据许可公司治理；原始测试数据通常由OEM客户（例如，BMW、VW）根据合同拥有，需要匿名化或聚合；专有价值在于聚合基准和跨制造商性能元数据。· 公司：IHO Holding（Schaeffler Group）的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明Atesteo拥有一个专有的、高频的时间序列数据集，该数据集捕获了来自150多个物理测试台的汽车动力总成的性能和耐久性。这些真实数据对于构建下一代预测性维护和监控解决方案的工业人工智能集成商至关重要。随着工业分析市场预计到2030年将翻一番以上达到809亿美元，这个稀有数据集提供了创建复杂的数字孪生和抢占市场份额所需的原材料。
See dimension details ↓- Dataset Specificity78
主导的'industrial_data'，移动出行行业，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
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
人工智能买家需求异常高，这得益于工业分析市场以18.9%的复合年增长率快速增长，因为公司正在积极投资于数据驱动的运营智能。
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，IHO Holding（Schaeffler 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 License36
所有权=混合，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
IHO Holding（Schaeffler 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 — 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 Audit83
✓ 良好目标 — Atesteo是领先的独立动力总成测试专家，其核心业务是提供测试服务，而不是销售数据；产生的大量测试数据是有价值的、休眠的副产品，使其成为理想的目标。问题：该公司拥有大量员工（根据不同来源，约288至870人），并且是全球领导者，可能接近；它由Schaeffler家族的控股公司IHO Holding拥有，这是一个非常庞大、不透明的集团；这可能会使决策复杂化。
- Deep Qualification90
⚠ 需要审查 — ATESTEO是汽车OEM的测试服务提供商，生成的数据是其客户拥有的工作产品，这严重限制了任何数据许可机会。核心机会在于协商访问聚合的、跨客户的性能基准，但这需要应对复杂的客户协议及其母公司IHO Holding的公司治理。[数据由公司客户拥有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
持有者从150多个物理测试台的性能和耐久性测试中生成高频时间序列数据，用于变速器、混合动力和电动机，这对于训练工业监控人工智能至关重要。
IoT / sensor data
该数据集包括来自动力总成组件测试的详细NVH（噪声、振动、声振粗糙度）传感器数据，这是开发先进异常检测和质量控制算法的非常有价值的输入。
business_records
持有者已通过创建仿真模型将此数据商业化，确认了其结构和构建人工智能集成商向最终客户销售的数字孪生的已证实价值。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Atesteo Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Analytics market was valued at $33.99 billion in 2025 and is projected to reach $80.9 billion by 2030, at a CAGR of 18.9% (source: The Business Research Company).. Investment score 64.3/100 (confidence 0.49). Recommended action: Partnership (group-level).
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