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 ...
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 ...
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 ...
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 ...
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.
The market demonstrates exceptional positioning as organizations increasingly prioritize operational efficiency and cost reduction strategies across manufacturing, energy, aerospace, and healthcare ...
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 ...
It’s every production line manager’s nightmare—some machinery breaks down, stopping production on the factory floor. In a fab, if just one piece of semiconductor manufacturing equipment goes down and ...
The oil & gas industry still faces serious challenges, including the costs of maintaining its aging infrastructure. On average, 42% of offshore equipment is more than 15 years old and has 13% downtime ...
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