Dataset opportunity
Connectedkerb — 移动遥测数据集机会
Connectedkerb 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。
Score
71.9
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
55%
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
全球电动汽车充电器预测性维护市场 = 2025 年为 28 亿美元，复合年增长率为 12.4%（2025-2034 年）
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
我们独特的方法整合了电力和数据，以支持智能互联城市
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Profile
Dataset profile
Type
移动遥测数据集
Modality
时间序列
Sector
移动出行
Volume
大
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（需审查个人身份信息）
Buyer persona
工业人工智能与维护优化供应商
Connectedkerb 拥有丰富的出行遥测数据集，主要由时间序列数据组成，包括来自其广泛电动汽车充电点网络的事件流、地理数据和物联网数据。这些精细的实时数据非常适合预测性维护应用，能够主动识别电动汽车充电基础设施组件（如电力电子、冷却系统和连接器）的潜在故障，从而避免代价高昂的停机时间。
该数据在一个快速扩张的市场中具有重要的商业价值。仅全球电动汽车充电器预测性维护市场预计将从 2025 年的 28 亿美元增长到 2034 年的 79 亿美元，复合年增长率 (CAGR) 为 12.4%，这得益于对可靠充电网络迫切的需求。虽然访问涉及与地方当局和合作伙伴进行数据共享协议的谈判，确保个人数据的GDPR 合规性，并管理跨物理资产的分布式数据，但该全面数据集在减少停机时间和节省成本（例如，电动汽车系统非计划停机时间减少高达 26%，维护成本降低 22%）方面的特异性和稀有性，使其对寻求优化电动汽车充电运营的 AI 买家极具价值。⚠ 尽职调查（有价值的数据，可协商的访问权限）：与地方当局和合作伙伴的数据共享协议可能会限制对某些数据集的直接访问；个人数据需要遵守 GDPR 合规性；数据分布在大型物理资产网络中。· 公司：Aviva Investors 和 National Wealth Fund 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Connectedkerb 拥有专有且广泛的数据集，涵盖其遍布英国的 7,000 多个电动汽车充电点的实时运营遥测和实时状态更新，并通过战略性地理空间数据得到进一步丰富。这一独特的数据集直接为蓬勃发展的电动汽车充电器预测性维护市场提供动力，该市场预计到 2025 年将达到 28 亿美元，对于工业人工智能和维护优化供应商来说具有无价的价值。该数据中的精细细节和运营洞察对于开发先进的预测性维护模型至关重要，可确保基础设施的可靠性并推动快速扩张行业的效率。
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 Volume70
6 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 Demand92
包括预测性维护作为关键应用的全球出行人工智能市场，预计从 2026 年到 2035 年的复合年增长率 (CAGR) 为 44.6%，表明对相关数据的需求非常高。
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 Feasibility15
中等难度，Aviva Investors 和 National Wealth Fund 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength71
3 种证据类型，6 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=已拥有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Aviva Investors 和 National Wealth Fund 的子公司
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 Audit92
✓ 良好目标 — Connected Kerb 运营着一个真实的电动汽车充电基础设施业务，作为副产品生成有价值的遥测和运营数据，并且似乎不主要将这些数据或派生智能作为核心产品进行销售。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
此证据类型代表 Connectedkerb 电动汽车充电网络的实时运营遥测，提供对充电器性能、使用模式和交易事件的精细洞察，这对于预测性维护和运营效率解决方案至关重要。
Geospatial data
这包括用于战略基础设施规划的位置和人口统计数据，为理解充电器部署和区域需求模式以进行市场分析提供了宝贵的背景信息。
Event streams
这包括充电点的实时运营状态数据，指示实时可用性和运营状态，这对于网络管理和用户体验应用程序至关重要。
Marketplace
Dataset details
Geographic coverage
UK
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
JSON, Time Series
License
One-time license for predictive maintenance use cases, with restrictions on redistribution and resale.
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's value is driven by its proprietary, real-time mobility telemetry from a large network of EV chargers, directly feeding the high-growth EV charger predictive maintenance market. The projected market size and CAGR indicate strong demand for such granular operational data.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Connectedkerb Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global EV charger predictive maintenance market = $2.8 billion in 2025, CAGR 12.4% (2025-2034). Investment score 71.9/100 (confidence 0.55). Recommended action: Data Sharing Agreement.
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