Dataset opportunity
Microlino Car — 移动遥测数据集机会
由 Microlino Car 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
72.2
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)
全球汽车预测性维护市场 = 2026 年为 33 亿美元，复合年增长率为 20.5%。
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.
- ✨Signal
Microlino App 连接功能
source ↗
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
公司所有 — GDPR 敏感（个人身份信息审查）
Buyer persona
工业人工智能与维护优化供应商
Microlino Car 持有一个移动遥测数据集，该数据集由其电动汽车车队的高频时间序列数据组成，包括 `geo_data`、`industrial_data` 和 `iot_data`。这些精细的、真实的运营数据经过专门结构化，用于开发和训练预测性维护算法，以便在关键电动汽车系统（如电池和电机）发生故障之前进行预测。
该数据的价值在全球汽车预测性维护市场中得到凸显，该市场在 2026 年的估值为约 33 亿美元，预计将以 20.5% 的复合年增长率增长。[1] 虽然访问需要应对严格的个人身份信息匿名化（根据 GDPR）、专有的车载连接模块以及电池数据的潜在联合所有权等复杂性，但该数据集的稀有性及其对高增长人工智能应用的直接适用性使其成为寻求竞争优势的买家的宝贵资产。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：车辆遥测数据包含需要严格 GDPR 匿名化的个人身份信息；数据访问取决于专有的车载连接模块；电池数据可能与电池供应商存在联合所有权 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Microlino 拥有其互联微型电动汽车车队的专有且稀有度高的遥测数据集，捕获了欧洲不同气候下独特的真实世界性能数据。对于工业人工智能供应商而言，这是开发下一代预测性维护算法的关键资产，特别是针对快速增长的电动汽车行业。该数据集直接满足了预计到 2026 年将达到 33 亿美元的全球市场需求，为优化城市车辆性能和电池寿命提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，移动行业，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 Demand90
人工智能买家需求异常高，这得益于汽车预测性维护市场的快速增长，该市场正以 20.5% 的复合年增长率扩张。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 License62
所有权=公司所有，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 Orientation39
1 个数据需求信号（1 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 — Microlino 是一个理想的目标，因为它是一家制造和销售电动微型汽车的中小型企业，作为其核心运营业务的副产品生成有价值的车辆遥测数据，且没有出售的证据。问题：存在一个开源遥测项目（'MOT'），这似乎是第三方或社区的倡议，而不是公司本身的商业产品。[13]
- Deep Qualification90
✓ 通过 — Microlino 销售电动微型汽车，并明确提供收集车辆状态和遥测数据的“连接包”，证实了假设数据集的存在，尽管其公开法律条款中未明确定义数据所有权。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司运营一个联网汽车平台，生成关于车辆状态的连续时间序列数据，包括续航里程和充电，这对于建模组件健康状况和用户行为至关重要。
Industrial data
该数据集包含从真实城市驾驶周期捕获的关于电池性能和能量密度的专有时间序列数据，为电池退化和故障预测模型提供了无与伦比的训练来源。
Geospatial data
持有者拥有其微型电动汽车车队独特的聚合GPS和路线数据，提供了与标准乘用车不同的城市移动模式的具体见解，对于预测车辆组件的基于位置的压力具有宝贵的价值。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Microlino Car Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Vehicle Predictive Maintenance Market = $3.3 billion in 2026, CAGR 20.5% (source: Insight-Ace Analytic). Investment score 72.2/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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