Industrial IoT
The industrial IoT (IIoT) (related concept: Industry 4.0) is the industrial subset of the Internet of Things and refers to manufacturing industries where assets are connected.
Industrial IoT Market Reports
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Industrial Automation Projects Report and Database 2025
From $1,000.00 -
SPS Fair 2024: The Latest Industrial Automation Trends
Subscriber exclusive -
Virtual PLC and Soft PLC Market 2024–2030
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Industrial Software Landscape 2024–2030
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Smart Factory Adoption Report 2024
From $2,000.00 -
IT OT Convergence Insights Report 2024
From $2,000.00 -
Industrial Connectivity Market Report 2024–2028
From $3,000.00 -
Hannover Messe 2024—the latest Industrial IoT/Industry 4.0 Trends
Subscribers exclusive
Latest Insights: Industrial IoT
The rise of industrial AI and AIoT: 4 trends driving technology adoption
In short Two new IoT Analytics research reports on the topics of industrial artificial intelligence (AI) and the Artificial Intelligence of Things (AIoT) estimate that the AIoT market will reach $102.2 billion by 2026. (Report 1, Report 2) Four trends are driving the technology: (1) the availability of new software tools, (2) the development of simplified AI solutions, (3) the infusion of AI...
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...
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...
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...
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...
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...
Our View On Industrial IoT
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.
- Additive Manufacturing (AM)
- Augmented and Virtual Reality
- Collaborative Robotics
- Connected Machine Vision
- Drones/UAVs
- 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.
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