Dataset opportunity
Ewab — 维护日志数据集机会
Ewab 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
72.4
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
收购
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规模在 2025 年为 92.1 亿美元，预计到 2035 年将达到 942.7 亿美元，复合年增长率为 26.19%（来源：Precedence Research）。[2]
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
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权
Buyer persona
工业 AI 和维护优化供应商
Ewab 持有源自其工业输送带和自动化系统的宝贵维护日志数据集。这些时间序列数据收集自iot_data源，如现场 PLC/SCADA 系统和专有的 EWAB Connect 云，提供了详细的运行和故障记录，可用于构建预测性维护模型。
该数据直接服务于一个蓬勃发展的市场，全球预测性维护市场预计到 2035 年将达到942.7 亿美元，复合年增长率 (CAGR) 为 26.19%。[2] 虽然访问需要处理与工业客户共享的数据所有权以及潜在的孤立历史遥测数据，但该市场的巨大增长和价值使得直接访问此独特的工业数据对任何 AI 开发人员来说都具有显著的竞争优势。⚠ 注意事项（有价值的数据，可协商的访问权限）：数据所有权可能与工业客户（OEM 和一级供应商）共享；访问需要与现场 PLC/SCADA 系统或其专有的 EWAB Connect 云进行交互；历史遥测数据可能分散在不同的全球区域车间 · 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 Ewab 拥有涵盖50 年工业自动化和物料流的稀有专有数据集。该数据结合了精细的 IoT 传感器读数和历史维护日志，提供了工业 AI 供应商所需的精确输入。这一独特的时间序列资产对于开发下一代预测性维护解决方案至关重要，以抓住一个预计到 2035 年将增长十倍、接近950 亿美元的市场份额。
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 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
AI 买家需求极高，这得益于市场正以 26.19% 的复合年增长率迅速扩张至 942.7 亿美元，因为公司越来越多地采用数据驱动的维护策略来降低成本和停机时间。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 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 Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据胃口信号（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. - Deep Qualification80
✓ 通过 — Ewab 出售输送带系统并提供“EWAB Connect”等数字服务用于监控和预测性维护，证实了有价值的维护日志数据集的存在；然而，数据所有权可能与客户混合，这构成了谈判挑战。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包含来自互联输送带系统的精细时间序列 IoT 数据，详细说明了吞吐量和周期时间，这对于训练优化生产效率的模型至关重要。
Maintenance logs
该数据集包括详细说明组件健康状况和更换情况的历史维护日志，提供了训练和验证预测性维护算法所需的关键地面实况数据。
Industrial data
这些证据证实了来自全球数千个安装点50 年的深入历史性能数据档案，为构建能够跨不同工业环境泛化的强大模型提供了无与伦比的深度。
Marketplace
Dataset details
Geographic coverage
Global
Time range
50 years
Update frequency
Real-time
Delivery
API
Formats
Time Series, IoT Data, Maintenance Logs
License
One-time license for predictive maintenance model development and deployment. Usage may be subject to shared data ownership agreements with Ewab's industrial clients.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's high rarity and proprietary nature, combined with the significant growth in the predictive maintenance market (projected to reach $94.27 billion by 2035), drives its substantial valuation. The 50-year historical depth and granular IoT/maintenance logs offer unique value for AI model development.
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
Ewab 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 $12.3 Billion in 2024, CAGR 29.7% (source: Custom Market Insights). Investment score 40.0/100 (confidence 0.49). Recommended action: Acquire.
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