Dataset opportunity
Aloxy — 工业传感器数据集机会
Aloxy 持有的海量工业传感器数据集，可用于预测性维护和异常检测。
Score
45
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
68%
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在 2025 年的估值为 151.0 亿美元，预计复合年增长率为 31.1%。
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
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
大型
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
大部分归客户所有 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
Aloxy 提供独特时间序列数据集，由工业传感器的聚合、匿名遥测组成。这些数据包括事件流和物联网数据，捕获了严苛工业环境下的传感器性能和网络可靠性指标，使其非常适合开发和训练强大的预测性维护模型。
商业价值巨大，因为这些数据服务于全球预测性维护市场，该市场在 2025 年的估值为151.0 亿美元，预计将以31.1% 的复合年增长率增长。[14] 虽然访问需要通过 B2B 合同进行，因为涉及客户数据所有权，但这种聚合性能数据的稀缺性和专有价值使其成为旨在构建高精度工业应用预测模型的 AI 买家的关键资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：主要传感器数据由工业客户（例如 Dow、Orlen）拥有；专有价值在于严苛工业环境中传感器性能和网络可靠性的聚合、匿名遥测；访问需要就数据用于模型训练的 B2B 合同进行协商。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Aloxy 持有其工业物联网传感器专有的、基于事件的时间序列数据，实时捕获关键运营事件，如阀门定位。该数据集直接适用于开发预测性维护模型的 AI 供应商，服务于能源和化工等高价值行业，这已得到 Dow 和 Emerson 投资的验证。在一个预计年增长率超过 30% 的市场中，这些数据提供了训练算法所需的真实情况，这些算法可以防止代价高昂的故障并优化工业运营。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，行业为工业，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 Rarity58
专有领域数据（公开会降低稀缺性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume94
10 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
AI 买家需求极高，这得益于预测性维护市场的快速增长，预计复合年增长率为 31.1%。[14]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility36
公开/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility66
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength92
4 种证据类型，10 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License8
所有权=客户拥有，许可=权利不明确
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 个数据胃口信号（0 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 Audit50
⚠ 审查 — Aloxy 的核心业务是向其工业客户销售端到端的 IIoT 解决方案（传感器和数据平台），使其成为技术供应商，而不是专有的、休眠的运营数据持有者。问题：该公司的核心产品是智能和数据交付系统（传感器和 IIoT 中心），它将其出售给客户。[3, 4, 8]；Aloxy 是一个使客户能够生成数据的技术供应商；它不作为其自身独立、现实世界运营的副产品来积累数据；阀门位置数据是在其客户的资产上生成的，并集成到他们的系统中，这意味着客户是数据所有者。[6, 8]
- Deep Qualification80
✓ 通过 — Aloxy 是一个工具供应商，销售工业物联网传感器和软件中心。原始传感器数据归其客户所有，但机会在于 Aloxy 创建的聚合性能遥测数据。此数据的访问权限未公开记录，必须在 B2B 合同中进行协商。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
此证据证实了从真实世界的工业物联网部署中收集时间序列数据，包括对构建强大的 AI 模型至关重要的基于事件的信号。
Industrial data
该数据集包含丰富的工业时间序列信号，这些信号超出了主要测量范围，包括关键的运营元数据，如网络完整性和传感器健康状况。
Downloads / exports
该公司捕获来自数据表下载的表格数据，代表了工业领域 B2B 营销的宝贵合格潜在客户来源。
Event streams
持有者明确捕获高价值的事件流，例如实时阀门定位，这些事件流在训练预测性维护算法方面比简单的趋势数据更有效。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Aloxy Industrial Sensor — a Large industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at $15.10 billion in 2025, with a projected CAGR of 31.1% (source: Market Research Future). [14]. Investment score 45.0/100 (confidence 0.68). Recommended action: Data Sharing Agreement.
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