Dataset opportunity

Sparkcharge — Mobility Telemetry Dataset Opportunity

Moderate mobility telemetry dataset held by Sparkcharge, usable for Predictive Maintenance and Anomaly Detection.

Mobility Telemetry DatasetTime SeriesPredictive Maintenance🌍 United Statessparkcharge.ioJun 15, 2026

Confidence

49%

Market

Global Vehicle Predictive Maintenance market is projected to reach $12.3 billion by 2033, growing at a CAGR of 20.5% (2026-2033). [15]

Sourced by 5 recent signals

Recent dated external facts that triggered this opportunity — auditable provenance.

  • 📰press2026-06-12

    Renaut, Stellantis et Volkswagen unissent leurs voix pour infléchir le "Made in Europe"

    journalauto.com
  • 📰press2026-06-12

    Véhicule de fonction : les règles du jeu se précisent pour les modèles électriques écoscorés

    journalauto.com
  • 📰press2026-06-12

    Bornes : une autre association alerte sur l’opacité tarifaire de la recharge

    journalauto.com
  • 📰press2026-06-11

    Distribution automobile : l’heure délicate des successions familiales

    journalauto.com
  • 📰press2026-06-11

    Stellantis dope une Charger avec une batterie solide

    journalauto.com

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.

2 signals

Concrete evidence this company actively cares about data — why it's ripe for the deal room.

  • 📦Data product

    SparkAI: Proprietary AI for charging optimization and fleet management

    source
  • 📣Press / announcement

    6,300,000+ kWh delivered milestone indicating massive session dataset

    source

Profile

Dataset profile

Type

Mobility Telemetry Dataset

Modality

Time Series

Sector

mobility

Volume

Moderate

Freshness

Real-time

Rarity

High (proprietary)

Accessibility

Partial

Legal

Owned by the company — clean to license

Buyer persona

Industrial AI & maintenance-optimization vendors

Sparkcharge possesses a valuable Mobility Telemetry Dataset, presented as a Time Series modality. This dataset is generated directly from Sparkcharge's proprietary physical hardware, the Roadie and PowerHub systems, capturing real-world `event_streams`, `geo_data`, and `iot_data`. Its core strength for the Predictive Maintenance use case lies in the high-resolution battery discharge and health telemetry collected across a diverse range of EV models, providing a rich foundation for developing and training predictive algorithms.

The global Vehicle Predictive Maintenance market is projected to reach $12.3 billion by 2033, expanding at a CAGR of 20.5%. [15] While access to this dataset requires negotiation, as a portion is already utilized for SparkAI's operational optimization, this complexity underscores its rarity and strategic value. The dataset's unique origin and detailed telemetry offer a distinct competitive advantage for an AI buyer aiming to build a superior predictive maintenance solution in a rapidly growing market. [15] ⚠ Diligence (valuable data, access to negotiate): Data is generated by proprietary physical hardware (Roadie, PowerHub); SparkAI already utilizes a portion of the data for operational optimization; Dataset includes high-resolution battery discharge and health telemetry across diverse EV models · corporate: independent.

Scoring

Scored dimensions

Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.

Sparkcharge's evidence proves ownership of a large-scale, proprietary dataset capturing millions of on-demand electric vehicle charging events. This unique time-series and telemetry data is a critical asset for AI vendors building predictive maintenance models for EV batteries and charging hardware. In a vehicle predictive maintenance market projected to exceed $12 billion, this dataset provides the real-world signals needed to predict battery degradation, optimize fleet operations, and create high-value AI solutions.

See dimension details
SpecificityRarityVolumeTraining ValueBuyer DemandEvidence StrengthData Orientation
  • ICP Audit83

    ⚠ review — SparkCharge's core business is selling mobile EV charging hardware and a bundled 'Charging-as-a-Service' (CaaS) which includes a software platform for managing charging operations, making it a seller of intelligence and a poor fit. Issues: The company's primary product is 'Charging-as-a-Service' (CaaS), which is a bundled offering of hardware, energy, and software. [3, 9, 12]; The CaaS offering includes a software platform with real-time monitoring, data insights, and reporting automa

Evidence

Dataset evidence & lineage

What the typed evidence proves the company holds — reframed for clarity and set against the market.

IoT / sensor data

The dataset contains granular IoT sensor telemetry from the company's mobile charging hardware, offering direct evidence of energy delivery and battery health for modeling component-level performance.

Event streams

This evidence confirms a large-scale event stream detailing over 6.3 million kWh delivered, which includes valuable vehicle-specific charging profiles and usage patterns essential for training robust AI models.

Geospatial data

The dataset includes tabular geospatial data identifying precisely where and when fleet vehicles require off-grid charging, enabling models that predict energy demand and optimize logistics.

Marketplace

Dataset details

Geographic coverage

Global

Time range

Rolling 12 months

Update frequency

Real-time

Delivery

API

Formats

JSON, Time Series

License

One-time license for predictive maintenance model development and training, with restrictions on redistribution of raw data.

Personal data

No PII

From EUR 131,500· licence· final price on request

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 high-resolution, proprietary EV battery telemetry, crucial for the rapidly growing predictive maintenance market. The real-time freshness and exclusive nature of this data, sourced directly from hardware, position it as a premium asset.

Automotive Sensor Data Providers (General) — €50,000 - €150,000Fleet Management Telemetry (Aggregated) — €30,000 - €80,000

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

https://www.sparkcharge.ioingested
https://www.sparkcharge.io/about-us/careersingested
https://www.sparkcharge.io/about-us/contact-usingested
https://www.sparkcharge.io/about-us/about-usingested
https://www.sparkcharge.io/about-us/lead-the-charge-blogingested
https://www.sparkcharge.ioinferred

Deliverable

Premium dataset report

Sparkcharge Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Vehicle Predictive Maintenance market is projected to reach $12.3 billion by 2033, growing at a CAGR of 20.5% (2026-2033). [15]. Investment score 76.1/100 (confidence 0.49). Recommended action: Acquire.

Teaser is public · premium is locked behind access.

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