Dataset opportunity
Mobilityhouse — Mobility Telemetry Dataset Opportunity
Mobilityhouse 持有的中等规模移动遥测数据集，可用于预测性维护和异常检测。
Score
48
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)
全球汽车预测性维护市场规模估计为 46.6 亿美元（2024 年），预计复合年增长率为 17.5%（2025-2034 年）。
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
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 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Mobility House 持有一个有价值的移动遥测数据集，该数据集由电动汽车充电 `event_streams` 和 `iot_data` 的时间序列数据组成。这些关于充电会话、电池性能和车辆行为的详细数据专门用于开发预测性维护算法，从而能够预测电池退化和充电硬件故障。
全球汽车预测性维护市场在 2024 年的估值为 46.6 亿美元，预计将以 17.5% 的复合年增长率增长。[2] 这一显著的市场规模和快速增长凸显了该数据的高价值。尽管存在数据所有权共享和 GDPR 敏感性等访问复杂性，但其在优化电动汽车车队运营和电池生命周期方面的独特、稀有的见解使该数据集成为人工智能买家的重要资产。⚠ 尽职调查（有价值的数据，可协商访问）：数据所有权在电动汽车车主、车队运营商和原始设备制造商（例如 Renault）之间共享；关于个人充电地点和习惯的 GDPR 敏感性；能源交易和电网数据的复杂监管环境 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Mobilityhouse 拥有专有的、大规模的时间序列数据集，捕获了电动汽车、充电站和固定式电池储能系统的实际性能。这些数据直接服务于高需求的预测性维护用例，使工业人工智能供应商能够构建和完善预测组件故障和优化电池健康的算法。在预计每年增长超过 17% 的汽车预测性维护市场中，这个稀有的数据集为开发下一代维护解决方案提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，行业移动，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 Demand90
人工智能买家需求非常高，这得益于快速增长的汽车预测性维护市场，预计该市场将以 17.5% 的复合年增长率扩张。[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 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 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 Audit67
⚠ 审查 — 该公司的核心业务是销售智能软件（ChargePilot®）和能源市场服务（Cascade EV Aggregator），而不是持有休眠数据，因此不适合。问题：核心业务是销售智能/软件：该公司的主要产品是 ChargePilot®，一个智能充电和能源管理系统，以及 Cascade EV Aggr；核心业务是销售基于数据的服务：他们利用其技术提供车辆到电网（V2G）、能源市场灵活性聚合等服务；已将数据货币化：该公司积极使用车辆和充电数据来提供其核心服务，例如优化充电成本和销售聚合服务；拥有用于数据交换的公共 API：他们提供一个“充电数据推送 API”将与计费相关的充电会话记录发送给客户，表明他们已经
- Deep Qualification90
✓ 通过 — 目标是一个强大的数据持有者，运营着一个智能充电和能源管理平台（ChargePilot®），该平台生成有价值的电动汽车遥测数据。数据所有权是混合的，并受 GDPR 约束，但其隐私政策允许使用和披露匿名化、聚合后的数据。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司捕获专有的时间序列数据，详细说明电动汽车的电池使用情况和双向充电，这是人工智能供应商构建组件退化模型的基础。
Event streams
该数据集包含来自数千个充电站的事件流，提供关于负载曲线和充电时间的详细数据，这对于预测基础设施压力和维护需求至关重要。
Industrial data
Mobilityhouse 收集关于固定式电池储能的工业数据，包括放电周期和容量，为模拟长期车辆电池健康状况提供了有价值的参考。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Mobilityhouse 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 for vehicles market size was estimated at $4.66 billion in 2024, with a projected CAGR of 17.5% (2025-2034) (source: Global Market Insights Inc.). Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
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