Improvements in real-time sensing, connectivity, and analytics are ushering in the next generation of predictive maintenance solutions for the world’s industrial equipment. But before widespread deployment of next-generation solutions can take place, many organizations will need to catch up culturally and take the first steps towards initial investments in basic predictive maintenance programs. In this report, we will explore the current state of the art and the future of advanced predictive maintenance approaches. Through detailed analysis of survey results, we will also explore the current state of adoption of predictive maintenance across organzations of different industries, regions, and sizes.
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