What we can expect from cellular & AI-driven IoT

In a forward-focused whitepaper prepared by Kalpesh Balviskar, a market analyst at IoT Analytics; get a glimpse into the future of cellular connectivity and AI-driven IoT technologies

In a market that’s expected to swell by 14% CAGR to 40 billion in 2030, a few key advancements will take the lead like edge AI, 5G RedCap and FWA.

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In this report, you'll explore:

• The key connectivity trends - Dive into three key insights covering how fixed wireless access and the automotive sector are driving 5G IoT growth, where streamlined connectivity with 5G RedCap is going and where smart meters will fit into the landscape.
• A deep-dive into cellular edge AI - Learn the difference between thick edge AI integration that is powering AI training and inference at the network edge versus thin edge AI integration that is enabling real-time intelligence at the IPC and IoT gateway level.
• How different AI-enabled chipsets are categorised by their computing power - With a power range from 0.2 TOPS to 48 TOPS, learn why IoT Analytics classifies this range into low capability, medium capability and high capability and what modules; like those from Fibocom, would meet each standard.
• What’s driving this move to the edge - With benefits like minimised data transfer, enhanced data security, reduction of cloud reliance and more operational efficiency; it’s clear how edge AI and IoT connectivity modules are making advanced AI more accessible and fostering decentralised innovation.

Finally, you’ll look ahead to where the market is going with more AI-driven automation and efficiency in cellular and 5G expansion fueled by the rise of AI-enabled cellular IoT and edge AI across mobility, LPWA, SLLMs and more. Get these insights and final thoughts from Eva Chen, the Vice President of Strategic Marketing at Fibocom, George Malim, the Managing Editor of IoT Now and more industry voices. Click below to access the full report now.