数据集机会
Weev — 移动遥测数据集机会
Weev 持有的海量移动遥测数据集，可用于预测性维护和异常检测。
评分
79.5
评分（0-100）融合了加权维度 — 数据集稀有度、训练价值、买家需求、证据强度和许可权。70分以上表示交易就绪。请参阅下方评分维度了解详情。置信度
72%
行动
数据共享协议
此数据集的推荐交易结构：收购（完全买断）、许可（付费使用权）、数据共享协议（受控访问，不转移所有权）、合作（共同开发）或标注计划（标签）。根据数据所有权、许可复杂性和可访问性选择。市场
全球电动汽车充电管理软件平台市场 = 2023 年为 16 亿美元，复合年增长率为 27.5%（来源：Market Research Future）。[6]
触发此机会的近期外部事实 — 可审计的来源。
- 📰press2026-06-30
Quitterie de Pelleport devient secrétaire générale du groupe Renault
journalauto.com ↗ - 📰press2026-06-29
Toyota North America adjusts supply chain, manufacturing leadership
supplychaindive.com ↗
Lineage
此线索的来源
信号优先链，端到端：近期外部信号 → 合格利基 → 已解析的数据持有者 → 网站验证 → 评分机会。每个线索都可解释。
该公司积极关注数据的具体证据 — 这就是它适合进入交易室的原因。
Profile
数据集概况
类型
移动遥测数据集
模态
时间序列
行业
移动出行
体量
Large
新鲜度
Real-time
稀有度
Medium
可访问性
Partial
法律
Owned by the company — GDPR-sensitive (PII review)
买家画像
工业人工智能与维护优化供应商
Weev holds a Mobility Telemetry Dataset in a Time Series modality, derived directly from its network's APIs, geo_data, and iot_data streams. This provides a rich, granular view of real-world charger operations, including event streams and user history, making it exceptionally well-suited for training Predictive Maintenance models to anticipate hardware failures, reduce downtime, and optimize network performance.
The business value is substantial, targeting the global EV Charging Management Software Platform market, which was valued at $1.6 billion in 2023 and is projected to grow at a 27.5% CAGR. [6] While access requires navigating GDPR constraints, potential shared data ownership with site hosts, and technical integration with a proprietary NMS, the rarity of such detailed operational data in a high-growth sector makes it a crucial asset for developing a competitive advantage. ⚠ Diligence (valuable data, access to negotiate): User charging history and location data are subject to GDPR.; Data ownership may be shared or restricted by contracts with site hosts (landlords/councils).; Technical integration required with their proprietary Network Management System (NMS). · corporate: independent.
Scoring
评分维度
可解释的、基于证据的维度（0-100）。雷达图显示了投资轴。
This evidence collectively proves Weev owns a rich stream of IoT telemetry and event data from its EV charging network. The dataset includes detailed logs of charging sessions, power curves, and live status updates, which are critical for developing predictive maintenance algorithms. For AI vendors targeting the rapidly growing $1.6 billion EV charging management market, this data is a key asset for optimizing hardware uptime and performance, a crucial factor in a market expanding at over 27% annually.
See dimension details ↓- Dataset Specificity90
dominant 'iot_data', sector mobility, 3 specific types
数据针对特定、难以替代的领域或任务的精确程度。利基、明确定义的数据得分高于通用数据。 - Dataset Rarity58
proprietary domain data (open lowers rarity)
数据的稀缺性和专有性。独特领域数据得分高；公开可用数据会降低得分。 - Dataset Volume76
7 evidence hits
数据的表观规模，根据证据命中次数和任何明确的体量提及推断。 - Dataset Freshness82
real-time/streaming
数据的时效性 — 实时/流式数据得分最高，定期转储数据得分较低。 - Training Value84
fit for Predictive Maintenance
数据对目标AI用例的有用程度 — 其是否适合模型训练或微调。 - Buyer Demand85
AI buyer demand is driven by the critical need to build reliability solutions for the rapidly growing EV Charging Management Software market, which is projected to expand at a 27.5% CAGR. [6]
基于市场信号，AI开发者和公司对该数据的需求强度。 - Legal Accessibility60
open/API access
数据在法律上获取和使用的难易程度 — 开放/API访问得分高；PII或受监管数据得分低。 - Acquisition Feasibility84
medium difficulty, independent
考虑到获取难度和持有者的公司结构，实际获取数据的可行性。 - Evidence Strength100
6 evidence types, 7 hits
公司持有此数据的证据强度 — 证据类型的多样性和命中次数。 - Right to License62
ownership=owned, licensing=gdpr_sensitive
公司是否可以合法地许可数据 — 基于所有权和许可复杂性。 - Corporate Independence90
independent
持有者是否可以独立决策 — 独立公司得分高于大型集团的子公司。 - Data Orientation56
2 data-appetite signals (2 types)
公司投资数据的积极程度，通过其数据需求信号（招聘、产品、API等）衡量。 - Dormant Data Surplus92
surplus=high, 2 recent external signals — proprietary data beyond what's already monetised
该公司持有的专有数据量和价值，超出其已实现货币化的部分 — 我们可以解锁的休眠盈余。一家公司可以出售部分洞察，同时仍拥有更大的休眠资产。 - ICP Audit100
✓ good target — Weev is a well-funded SME that owns and operates a growing EV charging network, making the telemetry data it collects as a by-product of its core operational business an ideal fit.
- Deep Qualification90
✓ pass — Weev operates as an EV charging network installer and operator, not a data broker. The telemetry dataset is a plausible byproduct of its core business, and its terms explicitly state that usage data is the property of Weev. However, this data is subject to GDPR, and while a major funding round acts
Evidence
数据集证据与溯源
类型化证据证明公司持有的内容 — 为清晰起见重新表述并与市场对比。
API access
The company provides API access to its network data, including charger locations, which is a standard delivery mechanism for software platforms integrating third-party data services.
Open data
Weev maintains a public-facing open data initiative, signaling a structured approach to data management and a potential entry point for partners to evaluate sample datasets before licensing commercial feeds.
Downloads / exports
The company's consumer mobile app serves as a primary collection point for user interactions and charging session initiation, generating the raw data that feeds into their backend telemetry datasets.
IoT / sensor data
The dataset contains granular IoT data from charging hardware, including detailed power curves and session logs, which is essential for training AI models to predict component failure and optimize maintenance schedules.
Geospatial data
Weev captures geographic data on its charging hubs, including historical usage at high-traffic locations, which allows for analysis of hardware stress and performance based on location-specific demand.
Event streams
The company generates real-time event streams that include live charger status and historical occupancy rates, providing the critical fault and usage signals needed for proactive anomaly detection systems.
Coverage
Scanned sources
Deliverable
Premium dataset report
Weev Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global EV Charging Management Software Platform market = $1.6 Billion in 2023, CAGR 27.5% (source: Market Research Future). [6]. Investment score 79.5/100 (confidence 0.72). Recommended action: Data Sharing Agreement.