Pod Group’s predictions of IoT trends in 2024 range from cyber-security enhancements to the intersection of AI, machine learning and blockchain in IoT
The integration of IoT devices into critical systems, particularly in smart cities, and the overall surge in IoT adoption driven by the increased prevalence of 5G, eSIM, iSIM, and satellite connectivity, accentuates the need for robust security measures. This is especially pertinent for eSIM and iSIM technology, where stringent security protocols, advanced encryption, and persistent monitoring are imperative to counter evolving cyber threats.
Artificial intelligence (AI) is anticipated to play a pivotal role in instantaneously analyzing vast data volumes. This integration is poised to yield enhanced applications such as predictive maintenance and energy management. The synergy of AI and IoT, coupled with centralised IoT management platforms, could result in unprecedented levels of operational efficiency. However, with the expanded access granted to AI, data integrity remains a major cybersecurity concern to be addressed in 2024.
Modern IoT, with its reliance on edge analytics and open architectures, ensures data integrity and facilitates novel, latency-sensitive applications. As 5G networks become more widespread and reliable, this technology is expected to gain increased prominence.
Blockchain emerges as a crucial player in advancing IoT security, especially as devices handle more sensitive data. The integration of blockchain with AI and machine learning (ML) signifies a significant leap forward, contributing to a more resilient IoT infrastructure in 2024 and beyond.
In logistics, innovative thin, smart-shipping labels are poised to revolutionize goods tracking. These labels offer real-time location and temperature tracking in a compact and environmentally friendly form factor.
SGP.32 is anticipated to enhance device and application capabilities with superior location accuracy, particularly beneficial for precision agriculture. Additionally, the new standard is expected to facilitate the use of eSIMs in IoT devices, enhancing operational efficiency through remote provisioning and profile swapping, simplifying global device deployment and management.
Propelled by energy-efficient sensors and AI, precise resource monitoring and control are predicted to reduce waste and energy consumption. Stringent global regulations are anticipated to further drive IoT adoption in key sectors like manufacturing, contributing to improved compliance and ecological footprints according to Pod Group’s predictions.
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