Industrial IoT Market Reports
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Industrial Digital Technology Outlook 2026
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Digitalization of Industrial Drives – Adoption Report 2025
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Digital & AI in Industrial Robotics Insights Report 2025
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Industrial AI Market Report 2025-2030
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Industry 4.0 Case Studies from Leading Manufacturers 2025
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Hannover Messe 2025—the latest Industrial IoT/Industry 4.0 Trends
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Industrial Automation Projects Report and Database 2025
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Latest Insights: Industrial IoT
7 lessons manufacturers can learn from automakers in the era of software-defined everything
In short A software-defined-everything revolution is currently changing hardware technology architectures. Automotive OEMs are leading this revolution with 80%+ of carmakers actively building software-defined vehicle architectures. Manufacturers and industrial automation companies are further behind in adopting software-defined architectures and can take 7 lessons from the automotive SDV...
60+ emerging industrial digital technologies you should have on your radar (2026 update)
In short IoT Analytics identified 64 industrial digital technologies that those working in industrial operations should have on their radar: 21 in AI & ML, 18 in automation & robotics, 13 in IoT hardware & connectivity, and 12 in cloud, software, & security. Of the 64 technologies on the radar, 18 are considered to be fairly mature. Many technologies are further out and still...
The top 10 industrial automation trends—as seen at SPS 2025
In short The IoT Analytics research team updated its list of top 10 industrial automation trends after attendance of SPS (the Smart Production Solutions fair) in November 2025 . IoT Analytics had a team of 4 analysts in attendance, together producing a 79-page event report. Key standout trends based on observations and extensive interviews with industry experts on-site include: Software-defined...
OT cybersecurity: How IT/OT convergence and AI are changing security architectures
In short While industrial executives often cite AI and IT/OT convergence as the most promising future developments, these technologies create new and complex cyber attack surfaces. IoT Analytics’ 49-page OT Cybersecurity Insights Report 2026 identifies several trends related to IT/OT convergence and AI integration affecting OT security, with 5 discussed in this article:1. The shift to hybrid...
Manufacturing Execution Systems: The 300+ vendors looking to displace pen, paper, and spreadsheets in the factory
In short 54% of small- and medium-sized plants use some combination of pen & paper or spreadsheets as their manufacturing execution system (MES), according to IoT Analytics’ 163-page MES Market Report 2025–2031. While the use of these methods is pervasive, they are not reliable sources of data for digital transformation and operational AI integration. Over 300 vendors are serving the $5.5B...
SPS 2025: How Siemens, Beckhoff, Rockwell, ABB, and peers are positioning for industrial automation’s future
In short The current state of industrial automation was on full display at SPS Fair 2025. IoT Analytics had 4 analysts on the ground to uncover the latest trends. The team shares its initial highlights from 8 of the biggest industrial automation vendors here. Why it matters SPS is one of the world’s most important industrial automation fairs. The showcased technologies are widely applicable to...
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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