Dataset opportunity
Voltatrucks — 移动遥测数据集机会
Voltatrucks 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
35
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
56%
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)
全球汽车预测性维护市场 = 2024 年为 46.6 亿美元,复合年增长率为 17.5%(来源:Global Market Insights Inc.)
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
移动出行
Volume
中等
Freshness
实时
Rarity
高(专有)
Accessibility
受限
Legal
公司所有 — 许可权待澄清 · PII/受监管
Buyer persona
工业人工智能与维护优化供应商
Voltatrucks 持有一个重要的移动遥测数据集,该数据集由其电动卡车车队生成的真实时间序列数据组成。这些数据包括事件流、物联网数据和工业数据,提供了对车辆性能、组件压力和运行行为的精细洞察,因此非常适合开发和训练预测性维护算法,以预测故障并优化服务计划。
尽管存在访问复杂性——包括对“卡车即服务”合同中数据所有权的法律尽职调查和 GDPR 考量——但该数据集的价值得到了蓬勃发展的市场的支撑。2024 年,全球车辆预测性维护市场的估值为46.6 亿美元,预计将以 17.5% 的复合年增长率增长。[4] 来自专用电动卡车车队的这种全面的、真实的工业数据的稀缺性使其成为旨在抓住这一高增长领域价值的 AI 买家的战略资产。⚠ 尽职调查(有价值的数据,可协商的访问权限):公司最近(2023 年 12 月)从破产中复苏,目前处于重新启动阶段;“卡车即服务”(TaaS)合同中的数据所有权需要法律尽职调查;车队遥测数据包括驾驶员行为和位置数据,这些数据对 GDPR 敏感 · 公司:收购了 Luxor Capital Group。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据共同证明 Voltatrucks 拥有其在欧洲商业试验中运行的电动卡车车队生成的专有、高分辨率时间序列数据集。这些数据涵盖了 300 多个不同的传感器信号和真实运行事件,正是工业人工智能供应商构建和验证下一代预测性维护模型所需要的。在预计到 2024 年将达到 46.6 亿美元的车辆预测性维护市场中,这份关于电池性能和车辆动力学的独特数据集提供了显著且罕见的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“物联网数据”,移动出行行业,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 Volume58
4 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
AI 买家需求极高,这得益于市场的快速扩张和强劲的 17.5% 的复合年增长率,因为公司越来越多地采用数据驱动的方法来减少车辆停机时间和维护成本。[4]
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
高难度,收购了 Luxor Capital Group
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 种证据类型,4 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=已拥有,许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence45
收购了 Luxor Capital Group
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 个数据胃口信号(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 Audit17
⚠ 审查 — 该公司是一家已注销的企业,在 2025 年 5 月第二次尝试重启失败后再次申请破产,使其成为一个糟糕的目标。问题:Volta Trucks 于 2023 年 10 月在瑞典申请破产。[2, 5, 7, 10];被 Luxor Capital 收购后,该公司于 2025 年 5 月在英国和奥地利再次申请破产。[1, 3, 4, 6];该公司被描述为“已注销”和“再次关闭大门”。[2, 8];生产已停止,且从未成功大规模恢复,这意味着产生的运营数据很少。[1, 3]
- Deep Qualification80
✓ 通过 — Volta Trucks 是数据持有者,而非数据销售商。其“卡车即服务”模式包括维护和远程信息处理,可生成有价值的移动出行数据集。然而,根据 GDPR 和欧盟数据法案,数据所有权复杂且与客户共享,并且该公司在破产后处于脆弱的重新启动阶段。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
User-generated content
该数据集包括来自商业试验参与者的文本反馈,为运行事件提供定性背景,以便进行更细致的根本原因分析。
IoT / sensor data
Voltatrucks 提供了一个高度结构化的时间序列数据集,具有标准化的数据字典,涵盖 300 多个信号,从而能够快速进行人工智能模型开发,只需最少的数据准备。
Industrial data
该数据集包含专注于高价值电动汽车组件的实时工业遥测数据,包括电池电量、充电周期和热性能,这些对于预测故障至关重要。
Event streams
持有者捕获来自欧洲现场试验的离散事件流,将驾驶员行为(如制动和操控)与车辆性能相关联,以构建更健壮、更具上下文感知能力的预测模型。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Voltatrucks 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 = $4.66 billion in 2024, CAGR 17.5% (source: Global Market Insights Inc.). Investment score 35.0/100 (confidence 0.56). Recommended action: Partnership (group-level).
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