Why going digital is still a challenge for factories*
Summary
Many manufacturers are investing heavily in digital tools, with the global IoT market in manufacturing projected to grow from $116.5 billion in 2024 to over $674 billion by 2032, and 95% planning AI/ML investments. Despite this, many organizations are not achieving expected results due to reliance on legacy network infrastructures like Wi-Fi and wired connections. These outdated networks act as "hidden bottlenecks," limiting scalability, bandwidth, performance, reliability, and security, especially in complex industrial environments. The article highlights that a purpose-built network, such as private 5G, is a foundational enabler for digital transformation, offering enhanced scalability, superior performance, improved security, operational flexibility, and cost-effectiveness to fully leverage digital investments and achieve competitive advantage.
Key takeaway
For CTOs and VPs of Engineering overseeing manufacturing operations, your existing network infrastructure is likely a hidden bottleneck preventing full ROI from digital investments. You should prioritize assessing your current network capabilities and strategically deploying purpose-built solutions like private 5G to ensure your facilities are future-ready and can scale digital initiatives seamlessly.
Key insights
Legacy networks are hidden bottlenecks hindering manufacturing digital transformation, necessitating purpose-built solutions like private 5G.
Principles
- Network infrastructure is a strategic asset.
- Digital transformation requires IT/OT collaboration.
Method
Rethink network strategy by deploying purpose-built solutions like private 5G to overcome limitations of legacy infrastructure and enable full benefits of advanced manufacturing technologies.
In practice
- Assess current network capabilities.
- Consider private 5G for industrial environments.
Topics
- Private 5G Networks
- Manufacturing Digital Transformation
- Industrial IoT
- Legacy Network Infrastructure
- Industry 4.0
Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, IT Professional, Operations Professional
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Monitor.