Dataset opportunity
Taxielectric — 出行遥测数据集机会
Taxielectric 持有的中等规模出行遥测数据集，可用于预测性维护和异常检测。
Score
67.2
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)
全球车队管理市场 = 2025 年为 270 亿美元，复合年增长率为 16.9%。
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
出行遥测数据集
Modality
时间序列
Sector
出行
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
Taxielectric 持有专有的出行遥测数据集，采用时间序列模式，来源于其电动出租车车队。该数据集整合了来自车辆传感器、业务记录和精细地理数据的iot_data，为开发和训练预测性维护算法提供了全面的基础，以预测组件故障、优化电池寿命并减少运营停机时间。
该数据位于全球车队管理市场内，该市场在 2025 年的价值为 270 亿美元，预计将以16.9% 的复合年增长率增长。[2] 尽管存在访问复杂性，例如需要匿名化高度敏感的位置数据以及在 2021 年重组后验证历史记录的所有权，但该数据集的丰富性为旨在进入这个高增长市场的 AI 买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：位置数据高度敏感，受 GDPR 管辖，需要匿名化；车队遥测可能由第三方软件提供商部分管理；公司于 2021 年进行了重组，应验证历史数据的所有权 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Taxielectric 拥有一个专有数据集，详细说明了高强度商用电动汽车车队的实际性能。这正是工业人工智能和维护优化供应商开发和验证复杂的预测性维护算法所需的真实数据。在全球车队管理市场预计到 2025 年将达到 270 亿美元之际，关于电池退化和充电效率的独特遥测数据为优化电动汽车运营和总拥有成本提供了关键的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的 'iot_data'，行业出行，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 Demand92
AI 买家需求异常高，这得益于车队管理市场 16.9% 的快速复合年增长率，因为公司越来越寻求数据驱动的解决方案来提高效率和降低成本。[2]
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 Orientation56
2 个数据需求信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等 — 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 — 这家位于阿姆斯特丹的运营电动出租车公司，在 2020 年破产后从 Taxi Electric 更名为 Travel Electric，似乎是一个强有力的目标，因为其核心业务是载客，作为副产品产生了宝贵车队和出行数据，没有任何迹象表明其被出售。问题：该公司因 COVID-19 危机于 2020 年破产，并在新名称 'Travel Electric' 下以精简形式继续运营。[5]；该公司的法律实体现为 Travel Electric B.V.，公司注册号为 84774525。[5, 8]；司机从雇员转变为创业司机是在 2017 年，这可能会影响数据所有权协议。[3]
- Deep Qualification60
✓ 通过 — 目标是一家已停业的电动出租车服务运营商，因此数据是历史性的。该公司曾两次申请破产，第一次是在 2020 年，最后一次是在 2021 年 11 月，这使得数据所有权和访问变得复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包含时间序列遥测数据，捕捉了商用电动汽车车队的实际电池退化和充电效率，这对于训练用于预测性维护的 AI 模型至关重要。
Geospatial data
该集合包括关于GPS 位置和行程持续时间的高分辨率表格数据，为车队优化模型提供了关于城市交通流量和需求高峰的关键背景信息。
business_records
持有者拥有量化的二氧化碳节约量的汇总业务记录，这验证了电动汽车车队的运营规模，并为企业影响报告提供了有力的指标。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Taxielectric Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Fleet Management market = $27 billion in 2025, CAGR 16.9% (source: Global Market Insights Inc.). Investment score 67.2/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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