Dataset opportunity
Watt4Ever — 工业运营数据集机会
Watt4Ever 持有的中等工业运营数据集，可用于工业监控和预测。
Score
68.7
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在 2025 年的估值为 136.5 亿美元，预计在 2026-2034 年期间的复合年增长率为 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
工业运营数据集
Modality
时间序列
Sector
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可清洁许可
Buyer persona
工业人工智能集成商
Watt4Ever 持有一个有价值的时间序列数据集，该数据集源自其专有的电池测试和诊断运营。这些工业数据和物联网数据集合包含了第三方电动汽车电池性能、退化和运行行为的详细传感器读数，使其成为开发和验证工业监控和预测性维护算法的宝贵资源。
全球预测性维护市场直接利用此类数据，在 2025 年的估值为136.5 亿美元，预计将以24.30% 的复合年增长率增长。[4] 虽然访问需要通过合资企业结构进行多方利益相关者批准，但这种真实电池生命周期数据的稀缺性和高保真度为人工智能买家提供了一个重要机会，可以在快速扩张的市场中建立竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：合资企业结构（Febelauto、Umicore 等）可能需要多方利益相关者批准数据许可；数据通过第三方电池（电动汽车制造商）的专有测试协议生成；技术数据是工业和传感器数据，可能不包含 GDPR 限制 · 公司：Sortbat 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 Watt4Ever 持有来自二次利用电动汽车电池模块的测试、验证和翻新过程的专有时间序列数据。这种独特的工业数据集是人工智能集成商开发预测性维护和工业监控解决方案的关键资产。在一个预计将超过 136.5 亿美元且快速增长的市场中，这些数据直接支持了用于资产性能和运营效率的高价值模型的创建。
See dimension details ↓- Dataset Specificity78
占主导地位的“工业数据”，出行行业，2 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 Rarity70
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 Value74
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家对工业时间序列数据的需求极高，这得益于快速增长的预测性维护市场，该市场预计将以 24.30% 的复合年增长率扩张。[4]
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，Sortbat 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 个命中
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=清洁
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Sortbat 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 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 — Watt4Ever 是一个极好的目标，因为它是一家运营型中小企业，负责翻新电动汽车电池，这一过程本身就会产生有价值的专有电池健康和性能数据，而他们似乎并未将其作为核心产品出售。问题：该公司于 2024 年 5 月被 Sortbat 收购，Sortbat 是一个更大的集团的一部分；这可能会使决策复杂化，但也提供了稳定性。[2, 3]；他们参与了多个研发项目，以开发评估电池健康状态 (SoH) 的算法，这表明他们意识到了其数据的价值，t
- Deep Qualification70
✓ 通过 — Watt4Ever 是一个强大的数据持有者候选者；其核心业务是翻新第三方电动汽车电池，这会产生有价值的时间序列性能数据作为副产品。然而，由于其子公司地位以及对 Febelauto 等合作伙伴电池的依赖，数据所有权很复杂，使得许可权不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据表明在对单个电池模块进行彻底测试和验证过程中生成了时间序列数据，这是开发精确工业监控算法的关键输入。
IoT / sensor data
这指向了认证的二次利用电动汽车电池模块的性能数据，为人工智能集成商提供了基准测试和验证能源系统预测模型所需的真实数据。
business_records
这些业务记录证实了 Watt4Ever 在电池创新方面的深厚领域专业知识和参与度，为任何人工智能合作伙伴提供了其运营数据的显著上下文价值和可信度。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Watt4Ever Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Predictive Maintenance market was valued at USD 13.65 billion in 2025, projected to grow at a CAGR of 24.30% (2026-2034) (source: Fortune Business Insights). [4]. Investment score 68.7/100 (confidence 0.49). Recommended action: Partnership (group-level).
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