Safety and reliability analysis often relies on predictive modeling to assess risks and improve system performance. The Markov technique provides a state-based modeling approach that improves the accuracy of risk, reliability, and safety assessments. This article explores how Markov models work, their applications, and key advantages in industries where failure prevention is critical.