The predictive maintenance market is expected to expand due to the integration of predictive maintenance with IIoT and the use of machine learning. The machine-learning algorithm can learn the normal behavior of the data and detect deviations in real-time. Sensors gather and interpret data from a range of sources, including CMMS and vital equipment sensors, in predictive maintenance. Equipment faults can be detected in advance when predictive maintenance and the IIoT are combined. As a result of the introduction of ‘Industry 4.0’ into the manufacturing world, companies are keen to introduce IIoT to obtain deeper insights into their operations. The COVID-19 pandemic has driven people all over the world to work from home. Industries suffered from a shortage of on-site staff during the pandemic, which decreased productivity.