Dataset opportunity
Dr Boy — 维护日志数据集机会
Dr Boy 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
77.2
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
授权
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 136.5 亿美元，预计到 2034 年将达到 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.
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
中等
Accessibility
开放/API
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Dr. Boy 拥有大量来自其工业机械运营的时间序列形式的维护日志数据集。这些数据包括维护历史、来自 iot_data 的运行状态以及性能下载，提供了设备行为和故障的丰富历史记录，可直接用于训练预测性维护模型，以预测和防止代价高昂的计划外停机。
全球预测性维护市场在 2025 年的估值为136.5 亿美元，预计到 2034 年将增长到 973.7 亿美元，复合年增长率为 24.30%。[1] 尽管存在访问复杂性，例如从旧版 Procan 系统提取数据或处理现场数据的共享所有权，但该数据集的稀有性和高研发价值非常显著。巨大的市场增长突显了对此类专业工业数据的需求，使得协商访问的努力成为开发高价值人工智能解决方案的值得进行的投资。⚠ 尽职调查（有价值的数据，可协商访问）：工业流程数据是专有的，但可能需要从旧版 Procan 控制系统提取；出售给客户的机器的现场数据可能具有共享所有权或需要特定同意才能进行聚合；具有高研发价值的高度专业化的塑料加工数据集 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Dr. Boy 拥有来自全球工业机械车队的有价值的维护日志和实时流程数据数据集。这正是工业人工智能供应商构建和验证预测性维护模型所需的时间序列数据类型。在一个预计到 2034 年将超过 970 亿美元的市场中，该数据集提供了一个难得的机会，可以对专有工业数据进行算法训练，并获得显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，工业领域，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（开放会降低稀有度）
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 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 Demand90
人工智能买家需求极高，这得益于快速增长的预测性维护解决方案市场，该市场正以 24.30% 的复合年增长率扩张。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility78
开放/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 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 License92
所有权=公司所有，授权=干净
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 个数据需求信号（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 Audit100
✓ 良好目标 — Dr. Boy 是理想目标，因为它是一家注塑机的中小型制造商，可能产生有价值的维护和运营数据作为副产品，而没有任何出售数据或情报作为核心业务的迹象。
- Deep Qualification80
⚠ 需要审查 — Dr. Boy 是一家工具供应商，生产和销售注塑机。运营和维护数据在现场生成，由操作机械的客户拥有，因此直接从 Dr. Boy 获取数据不太可能。[数据归公司客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
该公司提供可下载的技术文件，可能包含表格形式的结构化数据，可用于补充零件管理或服务规范的模型训练。
IoT / sensor data
该公司的控制系统捕获关键的时间序列传感器数据，例如温度和压力，提供训练异常检测算法所需的精细、真实的输入。
Industrial data
Dr. Boy 持有来自测试各种材料的广泛研发数据集，提供独特的受控实验数据来源，用于优化模型并了解不同热塑性塑料的性能。
Maintenance logs
该公司为其全球车队的机器维护全面的维护历史，提供训练和验证预测性维护模型所需的故障和干预的关键真实数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Dr Boy 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 was valued at $13.65 billion in 2025, projected to reach $97.37 billion by 2034, with a CAGR of 24.30% (source: Fortune Business Insights). [1]. Investment score 77.2/100 (confidence 0.56). Recommended action: License.
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