faber-industrial-operations-dataset-opportunity
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
alternate name: Faber — Industrial Operations Dataset Opportunity
description: Faber holds a substantial **Industrial Operations Dataset** composed of proprietary **Time Series** data, including event_streams, geo_data, and other industrial metrics from its mobility and logistics activities. This rich, B2B tracking data provides a detailed, real-time view of complex operational flows, making it exceptionally well-suited for developing and training advanced AI models for the **Industrial Monitoring** use case. The global market for industrial analytics, a direct application of this data, was valued at **$36.64 billion** in 2025 and is projected to grow at a **CAGR of 16.92%** through 2031. [1] This significant growth underscores the high demand for such datasets. While access requires navigating distributed business units (IPP, PAKi, PRS, vPOOL) and third-party contracts, the data's **rarity** and direct applicability to high-value AI applications make it a compelling asset worth the negotiation effort. ⚠ Diligence (valuable data, access to negotiate): Data is distributed across multiple specialized business units (IPP, PAKi, PRS, vPOOL).; Logistics flow data involves third-party touchpoints which may require contractual review.; Proprietary tracking data is primarily industrial/B2B, minimizing GDPR friction. · corporate: independent.
keywords: Industrial Operations Dataset
keywords: mobility
keywords: Time Series
is accessible for free: false
is live dataset: false
date published: 2026-08-18T23:27:24.378082+00:00
creator: Faber Industrial Operations