Dataset opportunity
Nuday — 工业传感器数据集机会
Nuday 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
42.5
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
获取
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预计到 2026 年将达到 175 亿美元，复合年增长率预计为 27.9%（2026-2033 年）（来源：Grand View Research）。[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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 许可清晰
Buyer persona
工业人工智能与维护优化供应商
Nuday 持有一个有价值的工业传感器数据集，其中包含其核心基础设施遥测数据的高分辨率时间序列数据。这包括详细的 `event_streams` 和 `iot_data`，涵盖电力、冷却和网络系统，为开发和验证旨在预测设备故障的预测性维护人工智能模型提供了丰富、真实的实践基础。
该数据服务于一个预计到 2026 年将达到 175 亿美元并以激进的 27.9% CAGR 增长的市场。[1] 虽然访问需要从楼宇管理系统 (BMS) 中提取数据并遵守严格的 SOC2 合规协议，但该专有数据的稀有性和操作保真度为人工智能开发者提供了独特的竞争优势，证明了其受控出口流程的合理性。[1] ⚠ 尽职调查（有价值的数据，可协商访问）：专有数据仅限于基础设施遥测（电力、冷却、网络），而非托管内容；访问需要从楼宇管理系统 (BMS) 和 DCIM 工具中提取；严格的物理安全和合规协议（SOC2）可能会使数据导出过程复杂化。· 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 Nuday 拥有专有的时间序列数据集，详细说明了其高价值数据中心运营中的工业资产性能。这些数据直接服务于蓬勃发展的预测性维护市场，使人工智能供应商能够训练和验证预测设备故障和优化能源使用的模型。随着预测性维护市场预计到 2026 年将达到 175 亿美元，该数据集提供了一个难得的机会来构建下一代人工智能模型，以优化能源消耗、冷却系统和关键网络基础设施。
See dimension details ↓- 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，这得益于全球预测性维护市场的快速增长，预计从 2026 年的 175 亿美元基础扩张到 27.9% 的复合年增长率。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Feasibility30
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 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 License92
所有权=已拥有，许可=清晰
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 Orientation50
2 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 Surplus70
盈余=中等 — 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. - Dataset Specificity90
占主导地位的 '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 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 次证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - ICP Audit42
⚠ 审查 — 该公司是一家托管数据中心，出租物理服务器空间，不生成或拥有专有运营数据，因此不适合 ICP。问题：该公司的核心业务是提供数据中心基础设施（托管），而不是作为副产品生成专有数据。[7]；来源的描述“工业传感器数据集”与公司的实际业务模式不符；其设施中的数据属于其客户，而非公司本身；“Nuday”这个名字非常通用，导致许多不相关的搜索结果指向不同的实体。[10, 16, 18, 19]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据证实 Nuday 捕获了关于电力、温度和湿度的精细、实时时间序列数据，这对于预测设备故障和优化环境控制的模型至关重要。
Event streams
这些证据表明持有者生成了关于网络性能和连接性的详细日志，这是预测中断和优化数字基础设施正常运行时间的人工智能应用程序的关键输入。
Industrial data
这些证据证明 Nuday 跟踪了专业的运营指标，包括冷却效率和电力使用效率 (PUE)，为专注于工业可持续性和成本降低的人工智能模型提供了独特的数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Nuday Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market to reach $17.5 billion in 2026, with a projected CAGR of 27.9% (2026-2033) (source: Grand View Research). [1]. Investment score 42.5/100 (confidence 0.49). Recommended action: Acquire.
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