Dataset opportunity
Connectedkerb — Mobility Telemetry Dataset Opportunity
Large mobility telemetry dataset held by Connectedkerb, usable for Predictive Maintenance and Anomaly Detection.
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
Data Sharing Agreement
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
Global EV charger predictive maintenance market = $2.8 billion in 2025, CAGR 12.4% (2025-2034)
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
Our unique approach integrates power and data to support smart, connected cities
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Profile
Dataset profile
Type
Mobility Telemetry Dataset
Modality
Time Series
Sector
mobility
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Industrial AI & maintenance-optimization vendors
Connectedkerb possesses a rich mobility telemetry dataset, primarily composed of time series data, including event streams, geo_data, and IoT data from its extensive network of EV charging points. This granular, real-time data is uniquely suited for Predictive Maintenance applications, enabling the proactive identification of potential failures in EV charging infrastructure components like power electronics, cooling systems, and connectors before they lead to costly downtime.
This data holds significant business value within a rapidly expanding market. The global EV charger predictive maintenance market alone is projected to reach $7.9 billion by 2034 with a CAGR of 12.4% from $2.8 billion in 2025, driven by the urgent need for reliable charging networks. While access involves navigating data sharing agreements with local authorities and partners, ensuring GDPR compliance for personal data, and managing distributed data across physical assets, the specificity and rarity of this comprehensive dataset for downtime reduction and cost savings (e.g., up to 26% reduction in unplanned downtime and 22% in maintenance costs for EV systems) make it highly valuable for AI buyers seeking to optimize EV charging operations. ⚠ Diligence (valuable data, access to negotiate): Data sharing agreements with local authorities and partners may restrict direct access to certain datasets.; GDPR compliance required for personal data related to users and charging sessions.; Data is distributed across a large network of physical assets. · corporate: subsidiary of Aviva Investors, National Wealth Fund.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Connectedkerb possesses a proprietary and extensive dataset encompassing real-time operational telemetry and live status updates from its significant network of over 7,000 EV chargers across the UK, further enriched by strategic geospatial data. This unique collection directly fuels the burgeoning EV charger predictive maintenance market, projected to reach $2.8 billion by 2025, making it invaluable for Industrial AI and maintenance-optimization vendors. The granular detail and operational insights within this data are critical for developing advanced predictive maintenance models, ensuring infrastructure reliability and driving efficiency in a rapidly expanding sector.
See dimension details ↓- Dataset Specificity90
dominant 'iot_data', sector mobility, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume70
6 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Predictive Maintenance
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
The global AI in mobility market, which includes predictive maintenance as a key application, is projected to grow at a compound annual growth rate (CAGR) of 44.6% from 2026 to 2035, indicating very high demand for relevant data.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility15
medium difficulty, subsidiary of Aviva Investors, National Wealth Fund
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength71
3 evidence types, 6 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
ownership=owned, licensing=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
subsidiary of Aviva Investors, National Wealth Fund
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 data-appetite signals (1 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high — proprietary data beyond what's already monetised
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
✓ good target — Connected Kerb operates a real operational business of EV charging infrastructure, generating valuable telemetry and operational data as a by-product, and does not appear to be primarily selling this data or derived intelligence as a core product.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
This evidence type represents real-time operational telemetry from Connectedkerb's EV charging network, providing granular insights into charger performance, usage patterns, and transaction events crucial for predictive maintenance and operational efficiency solutions.
Geospatial data
This comprises location and demographic data utilized for strategic infrastructure planning, offering valuable context for understanding charger deployment and regional demand patterns for market analysis.
Event streams
This includes live operational status data for charge points, indicating real-time availability and operational state, essential for network management and user experience applications.
Deal room
Deal Room — Connectedkerb — Mobility Telemetry Dataset Opportunity
Mobility Telemetry Dataset (Time Series, mobility). Best AI use-case: Predictive Maintenance. Target buyers: Industrial AI & maintenance-optimization vendors. Market: Global EV charger predictive maintenance market = $2.8 billion in 2025, CAGR 12.4% (2025-2034). Rarity: High (proprietary); accessibility: Restricted. Key risk: Owned by the company — GDPR-sensitive (PII review). Recommended deal structure: Data Sharing Agreement. Investment score 71.9/100.
Buyer persona
Industrial AI & maintenance-optimization vendors
The type of company or team most likely to buy or use this dataset — the target on the demand side.Market
Global EV charger predictive maintenance market = $2.8 billion in 2025, CAGR 12.4% (2025-2034)
A rough read on demand and price band for this data, from market signals ($ = niche, $$$ = high AI-buyer demand).Risk
Owned by the company — GDPR-sensitive (PII review)
The main legal and compliance constraints on using or transferring this data — PII/GDPR, licensing rights, regulatory limits.Action
Data Sharing Agreement
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.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.