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
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SPS Fair 2024: The Latest Industrial Automation Trends
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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
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IT OT Convergence Insights Report 2024
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Industrial Connectivity Market Report 2024–2028
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Hannover Messe 2024—the latest Industrial IoT/Industry 4.0 Trends
Subscribers exclusive
Latest Insights: Industrial IoT
Predictive maintenance market: 5 highlights for 2024 and beyond
In short The global predictive maintenance market grew to $5.5 billion in 2022—a growth of 11% from 2021—with an estimated CAGR of 17% until 2028, according to the Predictive Maintenance and Asset Performance Market Report 2023–2028. With median unplanned downtime costs larger than $100,000 per hour, the importance of accurately predicting failures of large assets has never been higher. This...
Industry 4.0 check-in: 5 learnings from ongoing digital transformation initiatives
In short Digitalization has become essential for industrial companies worldwide, as IoT Analytics expects the industrial IoT market to reach $145 billion in 2023. The Industrial IoT and Industry 4.0 Case Studies Report 2023 delves into 22 case studies, exploring their project objectives, technologies deployed, lessons learned, challenges, and outcomes. In this article, we share five learnings...
IoT solution development: Build, buy, or a bit of both?
In short Industrial IoT is on the way to becoming mainstream as projects are becoming more successful and common challenges are decreasing. Companies have a choice between the Build, Buy-and-integrate, and Buy approach to IIoT solutions. Every approach has distinct advantages and disadvantages. Why it matters For IoT adopters: The data provide considerations when deciding on the best approach...
The enterprise AR market and the industrial metaverse: Why 2023 marks an inflection point
In short The enterprise augmented reality (AR)/mixed reality (MR) market is at an inflection point, according to new research from IoT Analytics. In 2023, key product announcements from the likes of Microsoft, Google, and Apple are likely to set the tone for the market in the coming years and will play a key role whether the industrial metaverse becomes a reality. Why it matters Enterprise AR/MR...
Top 7 upcoming machine vision applications—enabled by recent advances in AI, cameras, and chips
In short New research on the machine vision (MV) market shows that advancements in cameras, AI, and chipsets are boosting the use of machine vision applications. Among the 39 use cases analysed, 7 have been flagged as particularly interesting, including flaw detection, autonomous driving, and contaminant identification. Why it matters Vendors need to invest in the evolving technology and form...
8 key technologies transforming the future of global supply chains
In short The Digital Supply Chain market is starting to accelerate according to new research by IoT Analytics. Eight supply chain technology innovations are helping to make global supply chains more robust, including AS/RS technology, intralogistics robots, IoT track and trace, AI-enabled software, and supply chain digital twins. Why it matters As companies invest into making supply chains more...
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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