Dataset opportunity
Beev — 移动遥测数据集机会
蜂鸟出行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
67.4
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在2024年的估值为46.6亿美元，预计到2034年将达到233.9亿美元，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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📝Published article
Beev 发布关于电动汽车采用和充电基础设施的详细白皮书和市场研究
source ↗
Profile
Dataset profile
Type
移动遥测数据集
Modality
时间序列
Sector
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
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
Beev 拥有一个宝贵的出行遥测数据集，结构为时间序列数据，包含精细的 `geo_data`、来自车辆和充电硬件的 `iot_data` 以及 `transaction_data`。这种丰富的组合能够全面了解车辆和充电站的行为，非常适合开发预测性维护算法，以预测硬件故障并优化运营正常运行时间。
全球汽车预测性维护市场在 2024 年的估值为 46.6 亿美元，预计到 2034 年将增长到 233.9 亿美元，显示出强劲的复合年增长率为 17.5%。[10] 这一显著的市场增长凸显了 Beev 数据的巨大商业价值。虽然访问需要应对 GDPR 敏感性、共享遥测所有权和客户数据权利等复杂性，但这个真实、聚合数据集的稀有性和深度为旨在引领这一高需求领域的 AI 买家提供了引人注目的战略优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据涉及个人驾驶员行为和精确位置（GDPR 敏感）；充电遥测的所有权可能与硬件制造商共享；车队使用数据可能归企业客户所有，但由 Beev 聚合 · 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了 Beev 拥有一个专有数据集，该数据集捕获了电动汽车基础设施的真实性能和运营压力。它直接支持预测性维护算法的开发，这是工业 AI 供应商瞄准快速扩张的电动汽车生态系统的关键需求。随着全球汽车预测性维护市场预计到 2034 年将达到233.9 亿美元，该数据集通过提供关于能源负荷、使用频率和技术故障的精细遥测，提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，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 个证据点
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，这得益于汽车预测性维护市场 17.5% 的快速复合年增长率，而此类遥测数据是其关键输入。[10]
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 个点
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 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，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 Audit83
✓ 良好目标 — 良好目标：Beev 是一家中小企业，其核心业务是促进电动汽车车队的采用（租赁、充电安装），并产生宝贵的车辆使用、充电和车队管理数据作为副产品。问题：该公司的模式部分是“轻资产”，充当车辆租赁和融资的业务介绍人/经纪人。[11, 16] 这可能会使数据所有权复杂化；他们提供“车队管理器”软件工具和“人工智能驱动”的控制解决方案，这近乎出售情报
- Deep Qualification80
✓ 通过 — Beev 是电动汽车车队电气化的服务提供商，提供车辆租赁、充电站安装和管理软件。它持有描述的遥测数据作为其服务的副产品，但不将其作为核心产品出售。数据所有权复杂且 GDPR 敏感，但 a
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “Kia va participer à l’édition 2026 du leasing social avec un seul modèle électrique : l’EV2. L’EV4, éligible en 2025, ne l’est plus en raison de son poids.”
- “Ayvens annonce la nomination d’Aurélie Lemaire au poste de directrice commerciale France. Elle succède à Guillaume Maureau, qui reste temporairement directeur général adjoint.”
- “Le 28 juin 2026 s'achevait à Paris la septième édition du Salon national de l'automobile électrique, un événement itinérant organisé par Make a Move, avec la collaboration de concessionnaires et de constructeurs. L'engouement pour ce segment de produits s'est fait sentir tout au long de la tournée.”
Geospatial data
这是一个专有的表格数据库，详细介绍了充电点的位置以及至关重要的实际可靠性，为任何预测基础设施压力或故障的模型提供了重要的地理背景。
IoT / sensor data
这个核心时间序列数据集捕获了来自监控充电站的精细 IoT 遥测数据，包括能源负荷和使用频率，这些是训练预测性维护模型的直接输入。
Transaction data
这个表格数据为维护决策提供了财务背景，包含运营成本和残值，使 AI 供应商能够模拟其预测解决方案的经济影响和投资回报率。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for predictive maintenance algorithm development and operational optimization within the EV sector.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset offers high value due to its proprietary nature and direct application to the rapidly growing predictive maintenance market for vehicles, specifically within the EV ecosystem. The real-time freshness and granular data across geo, IoT, and transactions enhance its utility for critical uptime optimization.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Beev 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 was estimated at USD 4.66 billion in 2024, projected to reach USD 23.39 billion by 2034, with a CAGR of 17.5% (source: Global Market Insights Inc.). Investment score 67.4/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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