Dataset opportunity
Weil Wasser — 维护日志数据集机会
Weil Wasser 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
68.8
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 = 2025 年为 134 亿美元，复合年增长率为 23.2%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-21
CLIBARCA, S.L. — Spain – Machinery and apparatus for filtering or purifying water – Suministro con instalación de Sistemas de la optimización de condiciones ambientales y digitalización de los sistemas de control en Cultivos Marinos para la mejora de la s
ted.europa.eu ↗ - 📰press2026-07-20
FAMILIA GUERRERO GALLO SLU — Spain – Machinery and apparatus for filtering or purifying water – Suministro con instalación de Sistemas de la optimización de condiciones ambientales y digitalización de los sistemas de control en Cultivos Marinos para la me
ted.europa.eu ↗
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
高（专有）
Accessibility
部分
Legal
混合所有权 — 许可清晰
Buyer persona
工业人工智能与维护优化供应商
Weil Wasser 持有其工业水处理系统有价值的时间序列 维护日志数据集。该数据集包含技术传感器数据，包括流量、压力和化学参数，通过远程维护模块收集，使此真实世界的iot_data直接适用于训练预测性维护模型以预测设备故障。
全球预测性维护市场是一个重要且快速增长的领域，到 2025 年市场价值为134 亿美元，预计到 2035 年的复合年增长率为 23.2%。[1] 虽然运营数据所有权可能与工厂运营商共享，但此专业industrial_data的稀缺性和高价值性质使其成为人工智能买家在尽管存在访问复杂性的情况下，旨在抓住这一不断扩大的市场份额的关键资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据主要通过远程维护模块（Fernwartungsmodul）收集；运营数据所有权可能与工业工厂运营商共享；数据集包含技术传感器数据（流量、压力、化学参数）· 公司：KF-Gruppe 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Weil Wasser 拥有其工业水处理系统的专有时间序列维护日志和运营数据。数据包括来自远程维护模块的信号以及超滤装置等设备的具体信息。这是人工智能供应商构建预测性维护解决方案的关键资产，使他们能够训练算法以抓住到 2025 年预计将达到 134 亿美元的全球市场份额。
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
人工智能买家需求极高，这得益于市场从 134 亿美元以 23.2% 的复合年增长率快速扩张，因为公司越来越多地采用人工智能来防止代价高昂的设备停机。[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 Feasibility15
中等难度，KF-Gruppe 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 License58
所有权=混合，许可=清晰
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
KF-Gruppe 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 数据胃口信号（0 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，2 个近期外部信号 — 超出已货币化的专有数据
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 — Weil Wasser 是理想目标，因为它是水处理领域的私たち（中小型企业），其核心业务是建造和维护物理工厂，这会产生有价值的维护和运营数据作为副产品，而没有任何迹象表明它们目前正在出售。
- Deep Qualification70
⚠ 需要审查 — 该目标可能作为其远程访问服务的副产品生成指定的维护数据，但数据几乎肯定归其工业客户所有，这带来了重大的访问和权利挑战。[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.
IoT / sensor data
这证实了从远程维护模块收集时间序列数据，这是训练预测性维护中使用的实时异常检测算法的基础。
Maintenance logs
这表明存在结构化的维护日志，其中包含历史错误分析和功能测试，这对于标记训练数据以教会人工智能模型设备故障的特征至关重要。
Industrial data
这些证据具体说明了数据源自超滤装置等标准化工业系统，这意味着在此基础上训练的人工智能模型在整个行业中将更具可扩展性和商业价值。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Weil Wasser 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 = $13.4B in 2025, CAGR 23.2% (source: Polaris Market Research). Investment score 68.8/100 (confidence 0.49). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Paack — 移动遥测数据集机会
View opportunity →工业Jonaco — 检验报告数据集机会
View opportunity →移动出行Weev — 移动遥测数据集机会
View opportunity →