Industrial IoT Market Reports
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Latest Insights: Industrial IoT
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...
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...
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...
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....
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...
Predictive Maintenance initiatives saved organizations $17B in 2018, as the number of vendors surges
ANNOUNCEMENT: Hamburg, Germany - 20th June 2019 // IoT Analytics, a leading provider of market insights & competitive intelligence for the Internet of Things (IoT), M2M, and Industry 4.0, today published a comprehensive 136-page market report on the current state of Predictive Maintenance (PdM), titled “Predictive Maintenance Report 2019-2024”. Some of the key findings include: Significant...
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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