Industrial IoT Market Reports
Latest Insights: Industrial IoT
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...
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...
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 into...
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...
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...
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...
Insights By Category
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
- 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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“The Predictive Maintenance Study has served us very well! It was the catalyst that triggered the right internal discussions we should lead.”
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