Common Industrial IoT challenges and how to solve them?

The world is on the path of digitalization, the emergence of cognitive technologies, and smart devices have made mankind’s work easier than ever before.

Artificial intelligence, machine language, space technology, robots, superintelligence, and much more.

All these technologies have enabled easy analysis and maintenance of large data volumes. One such smart technology is industrial IoT.

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It is indeed fascinating to see the unstinting expansion of the Industrial Internet of Things (IoT).

We have already started to see the internet of things enter different markets. From electricity to healthcare, to automotive and various other industries have started experimenting with the industrial IoT applications.

Such as robots, drones, monitors and insulin pens, asset trackers, smartphones, and a lot more.

IoT devices are essentially dynamic they are not only changing the interaction of mankind with the foremost (basic)technologies but also can soar India towards the fourth industrial revolution.

The market value of the IIoT itself is 123 billion dollars. And A recent study states that the growth of industrial IoT Will increases up to 75 billion by the year 2025.

Accenture also estimates that the world economy could earn $14.2 billion from industrial IoT devices alone by 2030.

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What is the Industrial Internet of things (IIoT)?

IIOT stands for the Industrial Internet of Things. It is basically referred to billions of devices that are connected to the internet and data sharing devices all around the world.

These smart devices are able to collect, analyze, and interpret the data or information and create action accordingly.

They are regarded as an industrial framework in a vast number of computers or machines i.e. From machines in the industry to smart robots to aircraft engines all around the world.

That are connected and integrated using digital tools and third-platform technology in the sense of machine-to-machine and the Internet of Things.

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The IIoT is an evolution of the Distributed Control System(DCS) that makes a higher degree of automation by leveraging cloud storage to refine and optimize process controls.

The network layer involves the collection and transfer of physical network buses, cloud computing, and communications logs to the service layer that contains programs and processes and blends data into information that can be viewed on the driver table.

The IIoT has are indeed grown to be a massive business, with companies investing billions in it every year.

It is expanding its wing across the vast geographical area including the United States, Europe, and the Asia Pacific.

In light of this, the Industrial IoT market is anticipated to hit 195.47 trillion US dollars by 2022.

Let us dive into the major drive backs faced by the organizations on the implementation of the industrial IoT projects.

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1. Connectivity Outage Challenge

If an organization plans to install Industrial IoT technologies in its framework, an uninterrupted connection must be maintained which in the case is crucial.  Even with good internet access, 100 percent coverage is almost unlikely. It is essential to ensure that the right cables are used and that a device is set up that ensures zero data loss.

2. Delivering Value to the Customer

The strategy for implementing IoT will have a huge influence on long-term effectiveness, customer loyalty, and efficiency. Implementation of IIoT is a huge deal that requires a great deal of understanding across the whole period, as every organization typically plans on installing new technologies to cover the void in consumer issues.

3. Data Storage

Data management is one of the greatest industrial internet of things challenge for businesses.  The Commercial Internet of Things facilitates the aggregation of a large number of data points which are important for potential industry aspects beyond the OT network.  And it is therefore important for any organization to prepare safe data storage.

You would need to arrange secured short-term storage in order to make these data available to the entire industry in real-time.

4. Security

Technology requires a bigger security system now than ever before.  IoT links computers to each other via an Internet connection such that the possibility of data breaches is incredibly high.

The main concern for using modern technologies is security breaches. security is highly important for IIoT, as industries use various Industrial IoT technology it is crucial for performance to control, hacking risk and security issues, operating systems, and transfers.

The adoption of IIoT will lead to various problems, which will leave the organization and individuals unprotected. Until there is a strong safety element, the introduction of the IIoT technology would be resisted.

This is one of the major reasons why businesses in organizational technologies are so skeptical about IIoT.

The protection of IIoT must be integrated into solution design and prioritized over the entire lifecycle of the solution.

5. Analytics Challenges

Even though the industrial IoT applications are installed in businesses. IIoT systems are typically designed as stand-alone applications the integration of technologies is difficult to achieve.

The accurate return of investment (ROI) value is accomplished utilizing organizational observations based on the extracted IoT data.

Especially with high-performing analytical tools can the massive volume of data applied to the solution will be possible.

What is the solution to this Challenge?

Every problem as a solution, to solve the arising issues from implementing IIoT can be prevented by the organizations by taking certain measures.

Let’s take a peek at the few industrial IoT solutions:

1. IoTGateway

IoT Gateway is a solution for granting IoT communication, typically device-to-device communication or device-to-cloud communication.

An industrial IoT gateway can allow your current systems to securely link to any industrial infrastructure.

An effective way to create an IoT gateway is to attach an office network router or gateway.

This portal allows connectivity between your devices, preserves stability, and provides an admin interface where you can perform basic functions.

For instance, IoT gateways can link industrial SCADA or Distributed Control Systems (DCS) directly to the cloud using industrial protocols such as MODBUS, OPC, ISA100 Wireless Technology, PROFIBUS for a gateway to gateway communication.

This addresses compatibility and machine-to-machine connectivity issues.

2. Edge Computing

Edge computing is changing the way data is treated, stored, and delivered from millions of devices. Edge computing was developed due to the rapidly growing IoT devices.

Instead of uploading a set of data on the cloud, Edge computing enables the further transfer of specific data to analysis.

Here, the clustered edge nodes allow data to be processed near the edge and near the source before being sent to the cloud, resulting in reduced latency. Filtered data will then be sent directly to the fog node or cloud for further analysis.

3. IoTGateway Clustering

The glue that comprises various IoT implementations is the gateways.

They allow IoT data to be analyzed in real-time and link several embedded sensors and devices to the cloud.

IoT Gateway Clustering guarantees the connection of OT systems like MES and SCADA systems, and IT systems like ERP and CRM.

It also ensures the consistency of cloud connectivity and data management that solves the IT and OT integration issues is maintained.


TPM (Trust Awareness Module), TTM (Trusted Terminal Module), and TNM (Trusted Network Module) can be executed by business units to solve security problems.

There is also a range of Data-Centric security solutions, including a web application firewall, Secure Web Gateway, or application delivery controller, that provides data encryption protection while traveling or rest.


Industrial IoT threats can seem daunting to industrial companies. But addressing these obstacles provides changing market prospects for these businesses to increase competitiveness and growth.

And with monetary investment and a willingness to build business infrastructures and operation to robust implementation, most of the problems of the Industrial IoT implementation can be overcome.

In order to speed up the Industrial Internet of things revolution, infrastructure modules must be supported with the IoT technology.

Companies who take a structured approach to the use of advanced intelligent data processing and analytical systems are gaining greater importance with IIoT.


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