beev-mobility-telemetry-dataset-opportunity
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
alternate name: Beev — Mobility Telemetry Dataset Opportunity
description: Beev holds a valuable **Mobility Telemetry Dataset** structured as **Time Series** data, incorporating granular `geo_data`, `iot_data` from vehicles and charging hardware, and `transaction_data`. This rich combination enables a holistic view of vehicle and charging station behavior, making it exceptionally well-suited for developing **Predictive Maintenance** algorithms to anticipate hardware failures and optimize operational uptime. The global **predictive maintenance for vehicles market** was estimated at USD 4.66 billion in 2024 and is projected to grow to USD 23.39 billion by 2034, demonstrating a strong **CAGR of 17.5%**. [10] This significant market growth highlights the immense business value of Beev's data. While access requires navigating complexities like GDPR sensitivity, shared telemetry ownership, and client data rights, the **rarity** and depth of this real-world, aggregated dataset offer a compelling strategic advantage for AI buyers aiming to lead in this high-demand sector. ⚠ Diligence (valuable data, access to negotiate): Data involves individual driver behavior and precise locations (GDPR sensitive); Ownership of charging telemetry may be shared with hardware manufacturers; Fleet usage data is likely owned by corporate clients but aggregated by Beev · corporate: independent.
keywords: Mobility Telemetry Dataset
keywords: mobility
keywords: Time Series
is accessible for free: false
is live dataset: true
date published: 2026-07-01T10:43:37.735302+00:00
license: One-time license for predictive maintenance algorithm development and operational optimization within the EV sector.
temporal coverage: Real-time
spatial coverage: Global
creator: Beev Mobility Telemetry
personal sensitive information: false