Industrial IoT

The Industrial IoT (IIoT) (related concept: Industry 4.0) is the industrial subset of the Internet of Things and refers to heavy industries where assets are connected to the internet.

Latest Insights: Industrial IoT

The impact of Covid-19 on the Internet of Things – now and beyond the Great Lockdown: Part 1

The impact of Covid-19 on the Internet of Things – now and beyond the Great Lockdown: Part 1

Covid-19 is having an unprecedented impact on our society and our economy. There are also strong indications that many technologies will see accelerated adoption in the coming years because people become more digitally minded as they embrace technology while working from home. But how does Covid-19 impact the Internet of Things, its technology, and its applications specifically? In the last...

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Entering the decade of equipment as a service – characteristics of the machine outcome economy

Entering the decade of equipment as a service – characteristics of the machine outcome economy

New research suggests that we may be at the beginning of a new business model paradigm for industrial equipment. 2010-2020: The decade of the consumer outcome economy Back in 2010, few people foresaw that the 2010s would see a major shift in business models towards what is now widely known as the “subscription economy”. Instead of purchasing things like software, music and movies, consumers...

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Industry 4.0 Adoption 2020 – who is ahead?

Industry 4.0 Adoption 2020 – who is ahead?

Industry 4.0 technology roll-out in 2020 is still low, with less than 30% of manufacturers reporting extensive adoption today -– this is a key finding of IoT Analytics’ latest 286-page Industry 4.0 & Smart Manufacturing Adoption Report, published in January 2020. Key findings of the Industry 4.0 & Smart Manufacturing Adoption Report 2020 include: Overall adoption: Less than 30% of...

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The Top 10 Industrial AI use cases

The Top 10 Industrial AI use cases

IoT Analytics’ recently published the Industrial AI Market Report 2020-2025. As part of the research, the analyst team identified a total of 33 different use cases that employ Artificial Intelligence tools and techniques on (predominantly) IoT-connected data sources and assets of industrial enterprises. These 33 industrial AI use cases have been grouped into 10 broader use case categories which...

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Predictive Maintenance Companies Landscape 2019

Predictive Maintenance Companies Landscape 2019

Advances in Internet of Things and in Analytics/AI technologies are saving companies billions of dollars on their asset maintenance, according to IoT Analytics’ recent Predictive Maintenance Market Report 2019-2024. The research (performed in early 2019) shows that the number of vendors particularly focusing on Predictive Maintenance has doubled, compared to a similar analysis conducted in 2017....

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5 Industrial connectivity trends driving the IT-OT convergence

5 Industrial connectivity trends driving the IT-OT convergence

IT and OT both started on individual paths in the 70s and slowly converged in the 90s and 2000s to form today’s widely accepted 5-layer architecture. Over the past few decades, hundreds of successful companies such as Wonderware (SCADA/MES), Modicon (PLC) and Keyence (I/O) began providing products and services for each of the different layers in the 5-layer stack. As we head into 2020, the clear...

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Insights By Category

Our View On Industrial IoT

The Industrial IoT (IIoT) (related concept: Industry 4.0) is the industrial subset of the Internet of Things and refers to manufacturing, energy, oil and gas, and similar settings in which assets are connected to the internet.

The Industrial IoT research stream covers the core elements:

1. Connected Industry Building Block
  • Hardware, such as chips, sensors or gateways
  • Connectivity protocols and services
  • Hosting environments, IoT platforms, and data analytics & AI
  • Applications that are built on top of the software layer
  • Cyber security technologies and methods used throughout the stack
  • Systems integration, connecting systems both vertically and horizontally
2. Disruptive Trends

The technologies and standards which are being be altered or replaced by disruptive trends caused by I4.0 technologies.

3. Supporting Technologies

Six technologies frequently deployed alongside the connected industry building blocks to support the I4.0 key use cases.

  1. Additive Manufacturing (AM)
  2. Augmented and Virtual Reality
  3. Collaborative Robotics
  4. Connected Machine Vision
  5. Drones/UAVs
  6. Self-Driving Vehicles
4. Key Use Cases

Use cases implementing connected industry and/or supporting technologies.

5. Adoption Strategies

OEMs, factories, and industrial automation suppliers are all leveraging I4.0 technologies to differentiate themselves in the market.

Our Lead Expert

Matthew Wopata

Matthew Wopata

Principal Analyst

Matthew is a principal analyst based in the USA, focusing on industrial technologies. He is IoT Analytics’ lead expert for Industrial IoT, including Industry 4.0 and Industrial Software.

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