solarfields-industrial-sensor-dataset-opportunity
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
alternate name: Solarfields — Industrial Sensor Dataset Opportunity
description: Solarfields holds a substantial **Industrial Sensor Dataset** composed of **Time Series** data from its 100+ solar parks. This data, generated by physical SCADA and IoT systems, includes granular `industrial_data`, `geo_data`, and `iot_data`, making it highly suitable for **Predictive Maintenance** models by providing detailed performance metrics from specific hardware brands for failure prediction and operational optimization. The global market for **Predictive Maintenance** in the energy sector is estimated to reach **$2.81 billion** in 2026, with a projected **CAGR of 25.05%** through 2031. Despite the need for technical extraction from asset management platforms, the dataset's rarity and direct applicability to this high-growth market make it exceptionally valuable for AI buyers seeking to minimize downtime and improve energy asset efficiency. ⚠ Diligence (valuable data, access to negotiate): Data is generated by physical SCADA and IoT systems across 100+ solar parks; Technical extraction from asset management platforms required; Data includes proprietary performance metrics of specific hardware brands · corporate: independent.
keywords: Industrial Sensor Dataset
keywords: industrial
keywords: Time Series
is accessible for free: false
is live dataset: false
date published: 2026-07-17T09:10:10.860214+00:00
creator: Solarfields Industrial Sensor