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The main challenges of IIoT are interoperability, security, and a high volume of data exchange. Interoperability is the ability of different systems and organizations to work together, considering the difficulty on the appearance of devices from different brands is a challenge and it is necessary to develop technological initiatives to unify these systems. Security is a challenge because companies need to know that their data is safe, and it is necessary to guarantee the necessary infrastructure for an exponential explosion of data [10].

Thus, IIoT comprises of machines connected to the internet and advanced analytics platforms (digital structure) that process the data produced, and IIoT devices range from complex industrial robots to tiny environmental sensors; however, the technology also includes agriculture, financial services, healthcare, retail, and advertising, among others. To get the most out of the benefits of IIoT, three technological capabilities related to sensor-oriented computing, industrial analytics, and the application of intelligent machines are needed [49].

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