Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...
Equipment manufacturers; engineering, procurement, and construction (EPC) companies; and power and process plant owners and operators commonly face the challenge of keeping their fleet, machinery, and ...
The global market for Predictive Maintenance estimated at US$5.6 Billion in the year 2022, is projected to reach a revised size of US$32 Billion by 2030, growing at a CAGR of 24.4% over the analysis ...
It’s nearly impossible to attend an industry trade show or conference without hearing the terms “artificial intelligence” or “data-driven.” While they might sound like computer science terms, trucking ...
Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...
The Howrah Division of Indian Railways has adopted AI and ML-driven predictive maintenance for Vande Bharat trains, successfully identifying and addressing faults in real-time using REMMLOT data. This ...
Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...
Food manufacturing is one of the most regulated industries in the United States and worldwide. The ultimate reason for all this regulatory oversight is obvious: to prevent the contamination of food.
Nearly everyone in manufacturing, from equipment manufacturers to processing plants, commonly face the challenge of keeping their fleet, machinery, and other assets working efficiently, while also ...
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