cloudandheat-industrial-sensor-dataset-opportunity
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
alternate name: Cloudandheat — Industrial Sensor Dataset Opportunity
description: Cloudandheat holds a proprietary **Industrial Sensor Dataset** derived from the real-time operation of its physical data center infrastructure, including cooling and heating systems. This **Time Series** data consists of granular **iot_data**, such as multi-vector energy and compute logs, which is directly applicable for training **Predictive Maintenance** models to anticipate equipment failures and optimize operational performance. The global market for predictive maintenance is a significant and rapidly expanding sector, valued at **USD 14.2 billion** in 2025 and projected to grow at a **CAGR** of **27.9%**. [1] While access to this **proprietary data** requires technical expertise to extract and normalize, its **rarity** and direct link to physical assets make it exceptionally valuable for AI buyers aiming to develop robust solutions in this high-growth market. ⚠ Diligence (valuable data, access to negotiate): Proprietary data is linked to physical infrastructure (cooling/heating systems); Distinction required between infrastructure telemetry and customer-hosted data; Technical expertise needed to extract and normalize multi-vector energy/compute logs · corporate: independent.
keywords: Industrial Sensor Dataset
keywords: industrial
keywords: Time Series
is accessible for free: false
is live dataset: true
date published: 2026-07-01T10:50:40.974585+00:00
license: One-time license for training predictive maintenance models. Usage restrictions may apply to prevent direct resale or redistribution of raw data.
temporal coverage: Real-time
spatial coverage: Global
creator: Cloudandheat Industrial Sensor
personal sensitive information: false