Dataset opportunity
Waat — 移动遥测数据集机会
由 Waat 持有的中等移动遥测数据集，可用于预测性维护和异常检测。
Score
69.6
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
数据共享协议
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 = 2023 年为 87 亿美元，复合年增长率为 28.5%（来源：Market.us）
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
移动遥测数据集
Modality
时间序列
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Waat 拥有一个宝贵的出行遥测数据集，结构化为时间序列证据。该数据集整合了地理数据、充电站的物联网运营数据以及交易数据，提供了设备使用情况和性能的全面视图。这种丰富、多方面的数据非常适合开发预测性维护人工智能用例，能够预测其 70,000 个合作伙伴站点网络中的硬件故障，并优化维修计划。
预测性维护的全球市场规模巨大且正在迅速扩张，估计 2023 年为87 亿美元，预计将以28.5% 的复合年增长率增长。[11] 尽管存在已知的访问复杂性，例如个人身份信息 (PII) 的存在、第三方数据协议以及最近的估值变化，但这种真实运营数据的稀缺性和深度提供了显著的竞争优势。对于人工智能买家来说，获取此数据集是一项战略投资，以利用高增长市场。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含 PII，包括用户充电位置、习惯和支付详情（GDPR 敏感）。；来自 70,000 个合作伙伴站点的数据所有权很可能被聚合并受第三方协议约束。；公司最近筹集了 1 亿欧元，增加了估值并可能使数据获取条款复杂化。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
此证据证明 Waat 拥有一个专有的、多模态的数据集，详细说明了大型电动汽车充电网络的真实性能。该数据结合了来自 70,000 多个站点和 40,000 名用户的精细时间序列传感器读数以及丰富的地理和交易背景。对于快速增长的 87 亿美元预测性维护市场中的人工智能供应商来说，这是培训模型以预测硬件故障、优化正常运行时间和降低充电基础设施运营成本的关键资产。
See dimension details ↓- Dataset Specificity90
主导的'物联网数据'，出行行业，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
人工智能买家需求异常高，这得益于市场以 28.5% 的复合年增长率快速增长，这产生了对精细、真实遥测数据的迫切需求，以构建有效的预测模型。[11]
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，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 License28
所有权=混合，许可=GDPR 敏感
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 Orientation73
3 个数据需求信号（3 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，5 个近期外部信号 — 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 Audit92
✓ 良好目标 — Waat 是一个良好的目标，因为它是一家运营公司，负责安装和管理电动汽车充电站，并作为其核心服务的副产品生成有价值的遥测数据，而不是作为其主要产品。问题：该公司被归类为“中间规模企业 (ETI)”，属于中小型企业的较大一类，拥有 100-199 名员工。[1, 13]；客户评价褒贬不一，一些客户报告了服务可靠性和客户支持方面的问题，这可能意味着运营挑战。[2, 4, 5
- Deep Qualification90
✓ 通过 — Waat 是电动汽车充电基础设施的运营商，而不是数据销售商。'出行遥测数据集'是其核心服务的连贯副产品。最近的 1 亿欧元融资证实了其增长轨迹，但数据访问受到 GDPR 和涉及最终用户及物业所有者的复杂所有权结构的限制。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “Après avoir dévoilé sa nouvelle Megane E-Tech, Renault révèle enfin ses tarifs. La berline compacte, qui affiche maintenant une autonomie de 500 km, s'affiche à partir de 37 500 euros. Cela peut même descendre à 29 260 euros avec les aides maximales.”
- “<figure><div><img src="https://imgproxy.divecdn.com/--2mNr43uurbxoELE6Som48pydUz6N0f74OHW13q-V8/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9Ub3lvdGFBdXJpc0h5YnJpZEJ1cm5hc3RvblVLLmpwZw==.webp" /></div></figure><p>Legacy automakers have the added complexity of having to run different supply chains for internal combustion engine, hybrid and EV powertrains.</p>”
- “En recul sur le premier semestre 2026, le constructeur sud-coréen relativise ses performances en mettant en avant la qualité de son mix de ventes, la forte progression de l'électrique et un ambitieux calendrier de lancements. Hyundai se prépare à relancer la dynamique de la marque dès la fin de l'année.”
IoT / sensor data
此证据表明存在来自电动汽车充电器的精细时间序列传感器数据，捕获功率曲线和能源消耗，这对于训练算法以检测故障特征和预测维护需求至关重要。
Geospatial data
该数据集包含超过 70,000 个充电点的表格位置数据，使模型能够将性能和故障率与特定的地理和站点类型变量（如住宅与公司使用）相关联。
Transaction data
此证据指向来自超过 40,000 名用户的详细交易记录，这为使用频率和负载提供了有力的代理，从而能够进行更准确、基于行为的维护预测。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Waat Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $8.7 Billion in 2023, CAGR 28.5% (source: Market.us). Investment score 69.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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