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

Soft PLCs: Revisiting the industrial innovator’s dilemma

Soft PLCs: Revisiting the industrial innovator’s dilemma

In short Software based PLCs (programmable logic controllers) may pose an innovator’s dilemma to the incumbents of the industrial automation world and threaten their hard-PLC business.Our most recent research on the topic shows that the threat of disruption for incumbent vendors is lower than previously assumed because customers are indicating that they would stick to existing vendors for...

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What are smart factories? 7 misconceptions and a definition

What are smart factories? 7 misconceptions and a definition

Key Insights Factories are becoming more intelligent, flexible, and sustainable through the power of technology, data, and the Internet of Things (IoT).IoT Analytics researched how 80 of the world’s best factories became so smart and discovered that, among other things, there is much more to smart factories than technology. Download report sample Why it matters? Customer demands are pushing...

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Predictive Maintenance Market: The Evolution from Niche Topic to High ROI Application

Predictive Maintenance Market: The Evolution from Niche Topic to High ROI Application

In short In just five years, predictive maintenance has moved from an uncertain, standalone niche use case to a fast-growing, high return on investment (ROI) application that is truly delivering value to users.These developments are an indication of the power of the Internet of Things (IoT) and artificial intelligence (AI), and the market is still in its infancy.A new IoT Analytics report...

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Cloud MES: How manufacturing software is migrating to the cloud

Cloud MES: How manufacturing software is migrating to the cloud

In short Enterprise software, such as ERP, is increasingly moving to the cloud; Cloud adoption for manufacturing software, such as MES/MOM, is much lower but accelerating.29% of manufacturers in a recent survey indicated a move of MES software to the cloud in the next 2 years.The Cloud MES market is estimated to reach $2.34 billion by 2026. Why it matters? Offering cloud-based MES solutions will...

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Soft PLCs: The industrial innovator’s dilemma

Soft PLCs: The industrial innovator’s dilemma

Update October 2021: IoT Analytics published a more recent blog on: Soft PLCs: Revisiting the industrial innovator’s dilemma. In short Software is increasingly replacing hardware in industrial environmentsSoftware-based controllers (Soft PLCs) today are reliable, powerful and flexible.Soft PLC adoption is expected to double between 2019 and 2025, posing an “innovator’s dilemma” for incumbent...

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IoT edge computing – what it is and how it is becoming more intelligent

IoT edge computing – what it is and how it is becoming more intelligent

In short IoT edge computing resources are becoming increasingly intelligentThere are 7 key characteristics that make modern edge computing more intelligent (including open architectures, data pre-processing, distributed applications)The intelligent industrial edge computing market is estimated to reach $30.8B by 2025, up from $11.6B in 2020 (see new 248-page report) Why it matters IT/OT...

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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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