Industrial IoT Market Reports
Predictive Maintenance Market Report 2021-2026From $3,000.00
Cloud MES Market Report 2021-2026From $3,000.00
Virtual PLC & Soft PLC Market Report 2020-2025From $3,000.00
Industrial IT Update & Outlook 2021From $800.00
Industrial Edge Computing Market ReportFrom $5,000.00
IoT Commercialization & Business Model ReportFrom $2,800.00
Equipment as a Service Market Report 2020-2025From $2,000.00
Industry 4.0 & Smart Manufacturing AdoptionFrom $3,000.00
Latest Insights: Industrial IoT
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...
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...
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 industrial automation vendors.Actions taken by incumbents will prevent significant disruption in the near-term, but the long-term...
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...
In short Thousands of smart connected IoT products were introduced to the market in the last 6 years IoT Analytics published a comprehensive 189-page report studying the success factors of early IoT business model innovators such as iRobot, thyssenkrupp Elevators, and Caterpillar An overwhelming 61% of study participants claim...
Covid-19 continues to have an unprecedented impact on our society and our economy. In Part 1 of our analysis on the “impact of Covid-19 on the Internet of Things” we highlighted how the crisis is causing companies to require more transparency, reduce Capex and reconsider supply chains. We also discussed how IoT applications like “Track & Trace”, “Remote Asset Access” and specific healthcare...
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.
- 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.
Our Lead Expert
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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“The Predictive Maintenance Study has served us very well! It was the catalyst that triggered the right internal discussions we should lead.”
“I find it really impressive how the IoT Analytics team have built up a broad and proprietary knowledge base around the Internet of Things and Industry 4.0 ecosystems.”
“I have now read the complete report and wanted to tell you that I find it extremely well done.”
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