The Industrial Internet of Things (IIoT) uses interconnection between Smart Sensors and Actuators which allows for data collection, exchange, and analysis in order to enhance the productivity and efficiency as well as other economic benefits. It is an evolution of a distributed control system (DCS) which permits for a higher degree of automation using cloud computing to refine and optimize the process controls. It integrates various other technologies like  Cyber Security, Cloud and Edge Computing, Mobile Technologies, Machine-to-Machine, 3D Printing, Advanced Robotics, Big Data, Internet of Things, RFID Technology, and Cognitive Computing.


It is observed by Accenture IIoT Report that Operational efficiency has been improved by IIoT and even companies can also gain more profit by seeing it as a tool for finding growth in unexpected opportunities. It is expected that successful companies will use the Industrial Internet of Things to capture new growth through the approaches as stated below:

  • Industrial Internet of Things will help companies to boost revenues by increasing production
  • It will give rise to new growth approaches by creating new hybrid business models.

By using the data of Industrial Internet of things, top management from industry get a full and exact view of how their industry is performing which in return helps them to make better decisions for the growth of Industry. IIoT can greatly improve the following:

  • Connectivity
  • Efficiency
  • Scalability
  • Time Savings
  • Cost Savings for Industrial Organizations.


The major skills required for becoming IIoT Engineers are stated below:

  • Machine learning and Artificial Intelligence.
  • JavaScript and Python.
  • Knowledge about How Sensors Work.
  • UI-Centric Approach.
  • Big Data.
  • Security.
  • Cloud Computing

4. Career in Industrial Internet of Things

The major career opportunities in IIoT are as follows:

  • IIoT Designer
  • Industrial Internet of Things Developer
  • Analyst
  • Tester
  • Android Developer and Tester
  • ML Engineer
  • AI Analyst
  • Data Scientist
  • Entrepreneur
  • Business Analyst