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Predictive maintenance solutions are driving lucrative growth in the industrial analytics industry by revolutionizing maintenance practices. These solutions utilize advanced analytics, IoT sensors, and machine learning algorithms to predict equipment failures. For instance, in September 2023, Rockwell Automation introduced a novel AI predictive maintenance solution called Asset Risk Predictor, developed in collaboration with Fiix (Rockwell’s cloud-based computer maintenance management system business). The product harnesses AI sensor data, machine recipes, and operational data to anticipate asset health. By enabling users to identify and prevent failures before they occur, it enhances maintenance efficiency & minimizes downtime.
The proliferation of Industry 4.0, characterized by the integration of smart technologies and data-driven automation into industrial processes, is driving the market. Industry 4.0 initiatives leverage IoT devices, big data analytics, and artificial intelligence to create intelligent, interconnected manufacturing systems. These advancements generate vast amounts of data, necessitating sophisticated analytics tools. By harnessing this data, industries can optimize operations, improve efficiency & enhance decision-making, thereby fuelling the demand for industrial analytics solutions and propelling market growth.