Dataset opportunity
Dcresponse — 维护日志数据集机会
Dcresponse 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
69
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
56%
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 = 2025 年为 140 亿美元，复合年增长率为 27.8%。
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.
- 📣Press / announcement
被 Creative Power Protection 收购以扩展服务能力
source ↗
Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清 · PII/受监管
Buyer persona
工业人工智能与维护优化供应商
Dcresponse 持有详细的维护日志数据集，该数据集以时间序列数据的形式组织，来源于其在关键基础设施支持方面的运营。该数据集以 `industrial_data`、`iot_data` 和 `maintenance_logs` 为证，提供了设备性能和干预措施的精细、真实的历史记录，使其非常适合训练预测性维护模型。
预测性维护的全球市场规模巨大，2025 年估值为140 亿美元，预计将以惊人的27.8% 的复合年增长率增长。 [6] 虽然访问需要应对数据所有权共享、近期公司收购以及数据中心信息的高安全需求等复杂性，但此工业数据的稀缺性及其对高价值人工智能应用的直接适用性，为寻求决定性竞争优势的买家提供了一个引人注目的机会。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与最终客户共享特定站点的指标；最近被 Creative Power Protection 收购（2024 年 7 月），这可能会使独立数据许可复杂化；技术数据涉及关键基础设施（数据中心），意味着高安全/保密要求 · 公司：收购了 Creative Power Protection。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Dcresponse 拥有其服务数据中心关键机械和电气基础设施的专有维护日志。这些稀有的时间序列数据是工业人工智能供应商构建预测性维护模型以分享预计到 2025 年将达到 140 亿美元的市场份额的主要资产。数据集的价值通过相关的物联网和专用工业系统数据的强烈信号得到增强，提供了设备性能和故障模式的丰富、多方面视图。
See dimension details ↓- Dataset Specificity100
主导的“维护日志”，行业工业，4 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 Rarity94
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 Value94
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 Demand92
人工智能买家需求极高，这得益于预测性维护解决方案市场的快速增长，该市场正以 27.8% 的复合年增长率扩张。[6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，收购了 Creative Power Protection
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 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 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 Independence45
收购了 Creative Power Protection
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 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. - ICP Audit100
✓ 良好目标 — 这家英国中小型企业专注于数据中心关键电力基础设施的维护和安装，作为其核心运营业务的副产品生成有价值的维护日志，并且似乎不销售数据或分析作为服务。问题：该公司于 2024 年 7 月被 Creative Power Protection Group 收购，这可能会改变其运营独立性或数据策略，尽管它目前存在
- Deep Qualification30
⚠ 需要审查 — DCResponse 是一家维护服务提供商，其活动生成指定的数据集。然而，数据归其客户所有，并明确与所提供的服务相关联，无权再使用，使其无法进行第三方许可。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该公司从其产品和服务的销售中产生标准的交易数据，这有助于验证其维护合同的商业规模和历史。
Maintenance logs
持有者明确为数据中心的关键基础设施提供 24/7 维护服务，生成用于训练预测性故障模型的核心时间序列日志。
IoT / sensor data
在复杂的电力保护和过程控制设备方面的经验表明，维护历史包含丰富的、由传感器驱动的物联网数据流，对精细的故障分析很有价值。
Industrial data
该公司在模块化、异地数据中心建设方面的工作表明，其拥有专门的工业数据来源，关于预制基础设施的性能，这是一个小众但有价值的资产优化信号。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Dcresponse Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $14.0 billion in 2025, CAGR 27.8% (source: Metastat Insights). Investment score 69.0/100 (confidence 0.56). Recommended action: Partnership (group-level).
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