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What is IoT integration?

By Mary E. Shacklett

IoT integration is the process of linking smart devices, applications, databases and systems to facilitate data exchange and enable automated workflows.

In manufacturing, integrating the internet of things (IoT) into operations can create a smart factory that automates routine tasks and optimizes operational performance and supply chain management. For example, in food supply chains, smart sensors integrated with supply chain systems can measure the freshness of strawberries, the length of the logistics route, time of delivery and where the berries are in the transport chain.

In smart cities, IoT sensors attached to tram tracks can detect the precise locations where tracks are beginning to wear, enabling maintenance to be performed before the tracks fail.

In short, there's virtually no industry that isn't using IoT applications and integration to reinvent systems, operations and businesses.

Benefits of IoT integration

Companies are flocking to IoT, but they also recognize that it makes no sense to adopt the technology unless they can integrate it into their systems and business processes. IoT integration can be challenging, but when it's accomplished in an end-to-end way for system and business processes, it can deliver enormous value.

Organizations are seeing the following benefits from IoT integration:

IoT integration challenges

Here are the primary areas of IoT integration challenges:

How to integrate IoT into your existing systems

IoT integration begins by knowing the various Internet Protocol addresses of all IoT devices connected to networks and systems. It also involves the creation of a specialized IoT gateway that connects IoT devices to the internet or an internal corporate network. The IoT gateway acts as a transfer and filtering mechanism that provides secure transmissions of IoT data to a central system. It also ensures the usability and quality of IoT data.

Here are the fundamental steps that characterize most IoT integrations:

  1. Define IoT integration goals, and understand the scope of the project. It's important to clearly define a business use case and then scope out the degree of IoT in terms of the number and types of devices that will be needed. Equally important is estimating the communications bandwidth, security and other infrastructure investments, as well as the integration efforts that will be required with other systems.
  2. Right-fit IoT device selection with the business use case. In most business use cases, a variety of IoT devices must be mixed and matched to meet the different ways in which users will use them. IoT devices should be selected based on the functionality and features they deliver, their ability to interoperate with other systems and IoT devices, the strength of their vendor support and their ability to meet business use case requirements.
  3. Decide on an IoT integration approach. Some enterprises have the in-house expertise to perform their own IoT integrations, but most don't. For companies that lack IoT integration expertise, a best practice is to retain an outside consultant who does this work and then seek out a recognized IoT integration platform that has integration connectors and tools. If the IoT integration project involves multiple remote or edge computing sites, internet transport will likely be involved, and the logical choice is a cloud-based IoT integration platform. Integration platform as a service is one option, as iPaaS providers furnish tools and IoT integration connectors for disparate systems, networks and applications.
  4. Set up IoT gateways. Once the IoT devices and integration platform have been identified, it's time to set up the physical IoT gateways that will manage the data transmissions between central systems and IoT devices.
  5. Implement and cross-check security across all infrastructure. As part of IoT device deployment, all settings on every IoT device should be configured to meet enterprise security standards. Secondly, proper security settings should be set at all IoT gateways and on the IoT integration platform itself to ensure outside user and customer devices conform to enterprise security standards. The security settings on all IoT devices, IoT gateways and IoT platform entry points to the system and networks should be thoroughly tested until security is operating flawlessly across the entire IoT infrastructure.
  6. Perform quality assurance (QA) testing on all IoT workflows. With security in place and all IoT devices and gateways attached, integrated and secured, the next step is to develop and test the IoT workflows that are integral to the business use case. Once the workflows have undergone QA and been tested successfully by users and IT, IoT is ready to go live.
  7. Continuously monitor and improve performance. After an IoT project is placed into production, it's incumbent on IT to continuously monitor system performance and fine-tune it as needed. Like any other IT system, it's likely that new IoT business requirements and technologies will emerge that require revisions to the existing systems.

Examples of IoT integration in practice

IoT integration use cases are in virtually every industry segment. Here are several examples:

The future of IoT integration

The future of IoT integration rests on the following five foundational cornerstones:

  1. Faster networks. Smart cities, retail stores, banks, airlines, logistics companies, financial institutions and any other entities that use IoT integration to process thousands of transactions per minute benefit from an expansion of cellular networks to 5G, which is 10 to 100 times faster than 4G communications. 5G offers low-latency, rapid transport for IoT device data that can be integrated with networks and systems to deliver real-time data with seamless connectivity.
  2. The growth of AI and machine learning. By 2034, the number of worldwide IoT connections is expected to reach 40.6 billion, according to estimates from Transforma Insights. To deal with all the data generated by these devices, IoT system vendors are adding more AI, machine learning and analytics to isolate relevant data based on organization-defined business rules. This assists companies in making decisions faster.
  3. New IoT devices and communication modes. The IoT wearable device market will expand in fields such as medical monitoring and personal use. In addition, communication will expand to more voice-activated commands, such as with Amazon's Alexa. Future IoT integration will focus on voice, image and data transmission integration.
  4. Digital twins. IoT sensors connect digital twin models of physical objects. By attaching IoT devices to a physical object, like a jet plane, and then integrating IoT with a digital model of the jet, engineers can review information about the physical engine and other components. In this way, engineers can simulate the jet in a variety of conditions digitally. The digital twin saves companies from having to construct physical prototypes of new products and speeds time to market.
  5. IoT security advances. Edge computing IoT and IoT integration have created a broader attack surface for bad actors. To address this, security technologies are shifting from network monitoring software to granular observability of network events and user activities so that the slightest deviation in network activity can be immediately detected and acted upon. Technologies like blockchain will also be used in IoT integration. With blockchain, every transaction is securely and indelibly registered, so all participants in a transaction can verify that every transaction step is authentic.

09 Jun 2025

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