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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Industry 4.0 Case Studies from Leading Manufacturers 2025
From $2,000.00 -
Hannover Messe 2025—the latest Industrial IoT/Industry 4.0 Trends
Subscriber exclusive -
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
From $3,000.00 -
Industrial Software Landscape 2024–2030
From $3,000.00 -
Smart Factory Adoption Report 2024
From $2,000.00 -
IT OT Convergence Insights Report 2024
From $2,000.00
Latest Insights: Industrial IoT
The top 10 industrial software companies
Download the chart as a .gif file | Download the chart without animation as a .png file In short Microsoft surpassed SAP in 2021 to become the largest industrial software vendor according to IoT Analytics latest research on the topic. The overall market for industrial software is estimated to grow at a CAGR of +18% in the next five years across the 14 major software categories analyzed. Why it...
10 IoT technology trends to watch in 2022
At IoT Analytics, our market analyses rely on the findings from our analyst team but also on the input from experts and advisors. We gathered our advisor’s opinions on the most important IoT technology trends to watch in 2022: Note: You may also be interested to read our recent article on more general IoT adoption trends In short Our advisors identified 10 major trends shaping the IoT technology...
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...
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.
Our Insights Are Trusted By
What Others Say About Us
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