Recent advent of Quantum Machine Learning, which is a quintessence of quantum computing and machine learning, has helped several practical applications. And, it learns things expected to transform industrial automation. The Currently, modern complex problems cannot be handled easily by modern industries using traditional machine learning models and computational approaches since modern industries involve extensive scales and complicated data structures. Quantum Machine Learning While a quantum computing concept of superposition and entanglement is leveraged to remove traditional computing constraints, there is a benefit to (QLM). It yields at higher, faster processing speeds and delivers more processing capability. The paper examines QML integration for industrial automation as well as the applications. Little emphasis was placed on analysing contemporary difficulties and projected trends, while only briefly considering advantages and an offer in conclusion. Improvements in productivity are essential and industrial automation provides these improvements. This helps with achieving efficiency as well as scale within the manufacturing sectors along. with energy production logistics operations and supply chains. In the past the classical machine learning coupled with artificial automation systems. achieving operation optimization as well as data-driven decision-making. With these, their limitations become more apparent. This is due to complex real-time data processing as well as dynamic environments and multiple interconnecting systems. The data processing solution implemented by QML addresses these operational limitations by completing tests quickly and precisely compared to classical approaches. Finally, QML represents a revolutionary solution for the problems arranged by industrial automation. The great thing about quantum computing is that it utilizes QML to enable optimization, productivity, and contribute to sustainability. While some challenges remain, the constant progress in quantum technologies has strong potential to realize the full potential of a QML to enable the automation of the future.