Need help with your IIoT implementation? Download white paper
4 min. read
Sjors de Kleijn
Last update: 15-09-2021

How to rise in the IIoT Maturity Model for the manufacturing industry

The machine manufacturing industry is in the middle of an industrial revolution. There is still much to gain within the field of IIoT. While IIoT shows great potential in generating cost savings and optimizing machine efficiency, its implementation poses some practical challenges. Incorporating machines into IIoT requires more than just an overnight change.

This Industrial IoT Maturity Model forms the foundation of future plans for your IIoT journey in the manufacturing industry. It details the ladder from Digitalisation to a full Industry 4.0 implementation. Discover how you can become a fully mature IIoT enterprise.

The 5 phases of Industrial IoT Maturity for the manufacturing industry

The Industrial IoT Maturity Model is a guiding line to help you get started. Dividing the journey into five phases makes it easier to take your first and next steps, and making the broad field of Industry 4.0 just a bit less daunting.

Use the Industrial IoT Maturity Model to evaluate your current position and set a clear objective. Understanding your company's current maturity state and willingness to adapt for greater business value is critical for IoT adoption. Use this IIoT maturity model as a tool to spur action, assess the competitive position, build plans and as a guide to allocate resources and prioritize investments and innovation.

Download the PDF version

Industrial IoT Maturity Model for Manufacturing Industry: From Digitalisation to Industry 4.0 Industrial IoT Maturity Model for Manufacturing Industry: From Digitalisation to Industry 4.0

The transformation from digitalisation to a mature Industry 4.0-ready enterprise is defined in 5 phases:

Phase Description
1. Computerisation Initial digitisation phase where machines are controlled by software.
2. Connectivity The company has integrated some level of connectivity for industrial remote access / remote control of machines.
3. Data Analysis A clear strategy is set out to collect and analyse data for the improvement of the organisation and/or product.
4. Predictive Capacity Sophisticated analytics and consistent operationalising by means of best-practice patterns.
5. Adaptability Integrated platforms and unified technical stack with intelligent capabilities.


Let's take a closer look at each of these levels. How are they characterised and what are the key enablers?

Level 1: Computerisation


  • Isolated PLC-controlled applications
  • Standalone machines
  • Limited functions

Key enablers: PLC, Sensors, RFID, Embedded units, Human Machine Interface (HMI).

Level 2: Connectivity


  • Connected devices
  • Secure remote management
  • Managed services through the cloud

Key enablers: VPN, Industrial Remote Access, Cloud.

Level 3: Data Analysis


  • Lightweight data transfer & data storage
  • Historical machine insights
  • Production- and management-steering information

Key enablers: Data integrations, MQTT, Cloud storage, Dashboards, Data Visualisation.

Level 4: Predictive Capacity


  • Smart functionalities
  • Applying contextual analytics
  • Pro-active servicing

Key enablers: Alarms, Preventive notifications, Predictive maintenance.

Level 5: Adaptability


  • Integrations with other solutions
  • Converged tech
  • Intelligent solutions for autonomous responses

Key enablers: APIs, Web services, Machine learning, Artificial Intelligence.

In this infographic, the different phases of the Industrial IoT Maturity Journey are visualised.


Action required: Moving up the ladder of the IIoT Maturity Model

Innovation is essential if you want to stay relevant and meet your customers' demands. Keeping up or being ahead of the competition means adapting to Industry 4.0 tactics. So if you're currently in one of the first two levels, then there is still a lot of ground to cover to go from digitalised to IoT maturity. It's time to start thinking about how you can climb the ladder.

Innovating is hard. It's hard on your people, your budget, your internal processes and on your valuable time (of which you already have too little!). So how do you know where to start without taking overwhelmingly big steps, and how can you speed up your transition from digitalisation to Industry 4.0? This white paper consists of 20 pages of concrete next steps and real-life examples on how to succesfully implement IIoT as a machine manufacturer.

White paper: The Road to IIoT Maturity in Machine Manufacturing

Lower the impact of Industry 4.0 implementation

Today, the market is overflowing with smart solutions which help machine manufacturers transform and adapt to Industry 4.0 more easily. You don't need a full R&D team to start innovating. It is very realistic to climb the maturity ladder with low impact, less time and a small budget.

At IXON we developed an innovative Industrial IoT platform which is developed by and designed for machine builders, system integrators & HVAC systems. We aim to make things easy. Starting small and scaling fast is how we help you implement IoT, so you can gain a competitive advantage and more efficiently meet customers' demands.

So start with small easy-to-implement steps and get ready for IoT with IXON Cloud. 

Related use cases

Become a fully mature IoT enterprise in no-time

IXON's solution is designed for growth and enriched with features for each level of IIoT maturity. It's a secure Plug & Play solution for machine builders, incredibly user-friendly and highly adaptable to your business needs.

Connectivity is all about connecting your industrial devices to the internet, so they are accessible from anywhere. IXON's Industrial IoT gateway is a robust and reliable device which connects your equipment to the IXON Cloud in just minutes. Get instant, secure and web-based access to your machine through the IXON Cloud. Solve machine problems faster and reduce travel costs.
Digitalisation: The first steps of your IIoT implementation

Then you need machine data to start with Data Analysis. The IXON Cloud data logging feature collects your machine data and stores it securely in the cloud. View historical and live data from your machine in a visual dashboard in your company account on the IXON Cloud. The drag & drop widgets are configurable without requiring any coding.
Case study: How Water IQ uses and benefits from Cloud Logging

When your machine data is available, make it more valuable by implementing Predictive Capability. Data is a necessary ingredient for predictive maintenance. Use it to set up notifications, such as when the production amount decreases, the machine state changes, an emergency button is switched or the temperature rises above a certain level. These alerts – available with Cloud Notify – increase your ability to be pro-active and opens the doors to new business models like service level agreements to increase revenue streams.
Case study: TSS uses Cloud Notify for alarming and system improvements

Use the openness of the IXON Cloud to become fully mature and reach the final level: Adaptability. Get the most out of Industry 4.0 using our API. Connect your IXON Cloud account to another SaaS platform to integrate your machine and data with intelligent services for Artificial Intelligence, self-learning machines or any other applications that make your machines smarter.


The road to IIoT Maturity in Machine Manufacturing

White paper: The Road to IIoT Maturity in Machine Manufacturing

How to start small and scale fast in every stage of the IIoT Maturity model? In this white paper you'll learn:

  • What IIoT is and what a fully mature implementation looks like;
  • How to take the next steps and grow your maturity level;
  • How other companies have implemented the various phases;
  • Which benefits each phase can offer you.

[[Download white paper]]


Sources: Gartner and Cloudonomic