Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.

The "Artificial Intelligence in Manufacturing Market by Processor (MPUS, GPUs, FPGA, ASICs), Software (On-premises, Cloud), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision, ...

The 2024 $2.9 billion machine-to-machine connections market is expected to reach $5.3 billion by 2029, a 12.7% CAGR, according the “Machine-to-machine (M2M) Connections Market” report by Markets and ...

Imagine a factory in 2030: Machines operate autonomously, self-correcting in real time to prevent downtime. Advanced vision systems ensure flawless quality; workers, empowered by AI, focus on ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.

The manufacturing industry is undergoing a transformation as it embraces Industry 4.0, and smart factories are at the forefront. Smart factories represent an advanced form of manufacturing where ...

Learn how smart sensors are transforming manufacturing by enabling predictive maintenance, improving diagnostics and enhancing operational efficiency. Discover strategies to overcome compatibility ...

As industries race towards full automation, 2025 is emerging as a defining year for industrial transformation, with artificial intelligence (AI)-driven systems, cloud-powered analytics and ultra-fast ...