Dataset opportunity
Smartdc — 维护日志数据集机会
Smartdc 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
72.8
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)
全球预测性维护市场预计将从 2026 年的 171.1 亿美元增长到 2034 年的 973.7 亿美元，复合年增长率为 24.30%。
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
维护日志数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
工业人工智能与维护优化供应商
Smartdc 持有详细的维护日志数据集，采用时间序列模式，源自其数据中心运营。此 `industrial_data` 和 `iot_data` 集合包括来自浸没式冷却系统的原始热量和功率遥测数据，为训练预测性维护人工智能模型以预测设备故障和优化复杂的维护计划提供了细粒度的真实基础。
预测性维护的全球市场正在经历 major 增长，预计将从 2026 年的 171.1 亿美元增长到 2034 年的 973.7 亿美元，复合年增长率为 24.30%。[9] 这种高增长表明对此类稀有运营数据存在显著需求。虽然访问需要技术集成来提取专有遥测数据，并且可能涉及客户保密协议，但开发此高增长市场的竞争性人工智能解决方案的机会证明了谈判和集成工作的合理性。⚠ 尽职调查（有价值的数据，可协商的访问权限）：基础设施遥测数据是专有的，但设施级别的数据可能涉及客户保密协议；数据所有权在 Submer Group 生态系统内共享；需要技术集成才能从浸没式冷却系统中提取原始热量和功率遥测数据。· 公司：Submer Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Smartdc 拥有维护密集型、液冷人工智能基础设施的专有运营数据。此独特的时间序列数据集直接适用于寻求构建和完善预测性维护模型的工业人工智能供应商。在一个预计到 2034 年将增长到 973.7 亿美元的市场中，此真实维护日志和物联网数据集合代表了优化高价值工业系统和实现显著成本节约的关键资产。
See dimension details ↓- Dataset Specificity74
主导的“维护日志”，行业其他，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 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
人工智能买家需求极高，这得益于预测性维护市场的快速扩张，预计复合年增长率为 24.30%。[9]
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 Feasibility15
中等难度，Submer 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 License92
所有权=公司所有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Submer Group 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据需求信号（2 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 Audit92
✓ 目标明确 — Smartdc 是一家数据中心运营商，其核心业务是销售托管和连接服务，因此其物理基础设施的维护和运营日志是有价值的、休眠的数据副产品。[4, 6, 11] 问题：由于存在其他名称相似但无关的公司，如“smartDCS”（一家英国 IT 服务公司）和“SmartDC Lighting”，初步的网络搜索可能会令人困惑。[1,
- Deep Qualification80
✓ 通过 — Smartdc 是一家数据中心运营商，是典型的“数据持有者”，其运营日志是其托管和连接服务的副产品。该数据与所述机会相符，但由于客户/运营商划分，所有权混合，并且基础设施数据的许可权未公开指定。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据表明来自先进液冷系统的时间序列物联网数据，对于对高密度计算环境中的热性能和能源效率进行建模的供应商至关重要。
Industrial data
这表明存在集成的工业数据来跟踪系统范围的效率和成本，这对于旨在优化复杂运营工作流程和降低总拥有成本的人工智能模型很有价值。
Maintenance logs
这证实了累积维护日志的存在，这些日志随着时间的推移捕获了学习到的专业知识，为训练预测性维护算法以预测设备故障提供了宝贵的历史记录。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Smartdc Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market to grow from $17.11 billion in 2026 to $97.37 billion by 2034, at a CAGR of 24.30% (source: Fortune Business Insights).. Investment score 72.8/100 (confidence 0.49). Recommended action: Partnership (group-level).
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