The AI market is growing explosively. New tools appear daily, claims tumble over one another, and anyone trying to keep an overview quickly gets lost. It was precisely in that chaos that Jesse Weltevreden, Professor of Digital Commerce at the Amsterdam University of Applied Sciences, saw a clear societal mission.

AI-driven predictive maintenance helps organizations anticipate equipment failures, cut downtime, and extend asset life. This guide explains what these tools do, how they are used, and what to evaluate before choosing a solution. It draws on our Predictive Maintenance ranking to highlight common strengths and meaningful differences across platforms.