7 most notable IoT and telco networking trends – as seen at MWC 2026

· Source: IoT Analytics · Field: Technology & Digital — Internet of Things (IoT) & Connected Devices, Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Advanced, long

Summary

MWC Barcelona 2026, held March 2–5, 2026, gathered nearly 105,000 visitors and 2,900 exhibitors to showcase advancements in telecommunications and IoT. Key trends included telcos leveraging AI-RAN for shared compute infrastructure, with companies like Fujitsu and Nokia demonstrating GPU-as-a-Service models. Vendors are also accelerating 6G and Wi-Fi 8 into AI-native roadmaps, exemplified by Qualcomm's FastConnect 8800 and NVIDIA's 6G coalition. Mobile operators are integrating 3GPP NTN satellite technologies, such as SpaceX's Starlink Gen2 targeting 150 Mbps downloads by mid-2027, into cellular IoT. The cellular IoT market is bifurcating, with Cat 1 bis dominating near-term volume and RedCap/eRedCap defining 5G migration paths. Edge AI is being pushed to low-power IoT nodes, as seen with SG Wireless's TinyML over LTE-M. SGP.32 is commercializing, but its value is shifting towards eSIM orchestration for resilience rather than frequent switching. Finally, IoT security is advancing towards post-quantum readiness and secure silicon, aligning with the EU Cyber Resilience Act.

Key takeaway

For Directors of AI/ML planning future network infrastructure, recognize that AI-RAN offers a path to monetize unused GPU capacity through GPUaaS. Your IoT strategy should integrate 3GPP NTN for satellite connectivity, moving away from proprietary hardware. Prioritize Cat 1 bis for immediate cellular IoT volume, while preparing for RedCap/eRedCap. Crucially, embed post-quantum security and secure silicon into long-life IoT devices now to mitigate future "harvest now, decrypt later" risks.

Key insights

Telecommunications and IoT are rapidly converging on AI-native, shared infrastructure, integrating satellite, and enhancing security.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, MLOps Engineer, AI Architect, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by IoT Analytics.