Global Scans · Edge Computing · Weekly Summary

• [New] By 2032, the AI in Edge Computing landscape will evolve into an intelligent, decentralized network of AI-powered nodes. Cision PR Newswire
• [New] Looking to 2030, the AI infrastructure buildout will decentralize further, with edge computing bringing processing closer to users for lower latency. TrendScoopGlobal
• [New] North America is expected to grow at the fastest rate in coming years, driven by substantial expenditures in edge computing powered by AI, expanding use of autonomous systems, and robust venture funding for AI startups. Educational Technology and Change Journal
• [New] More IoT, such as 5G, edge computing, and IoT, will become more sophisticated in 2025 and beyond. TimesTech
• [New] Looking ahead to 2026 and beyond, neuromorphic computing is positioned to transform edge AI applications-robotics, autonomous vehicles, smart sensors, and wearable devices that require real-time processing with minimal power consumption. Educational Technology and Change Journal
• Long-term developments will likely see a greater emphasis on edge computing and distributed AI, where data processing and storage occur closer to the source of data generation, reducing reliance on centralized, potentially vulnerable global data centers. FinancialContent
• The demand for Specialized AI Chips (HPC chips, Edge AI semiconductors, ASICs) will skyrocket, and neuromorphic computing will enable more energy-efficient AI processing. FinancialContent
• Edge-as-a-Service: Just like cloud services, companies will offer edge computing as a managed service, lowering entry barriers for organizations. Icetea Software
• As data becomes the backbone of global innovation, the future of data sovereignty will depend on how governments and organizations adapt to emerging technologies such as quantum computing, edge computing, and decentralized networks. Identity
• After 2030 we foresee that ubiquitous deployment, from hyperscale to edge, will enable new computing paradigms limited only by algorithmic efficiency rather than thermal constraints. IEEE Spectrum
• Why Edge Computing Will Become Critical in 2025 With the growth of Internet of Things devices and the increasing demand for real-time data processing, edge computing is becoming a critical part of IT infrastructure. TotalCare IT
• Looking ahead, AI Smart Cities 2025 will likely evolve into even more integrated systems: combining augmented reality for navigation, robotics for maintenance, AI mediators for citizen-government interaction, and further decentralization via edge computing. learnaitools.in
• Intel's ability to integrate AI capabilities into its client PCs and edge computing solutions could differentiate it from peers. Ainvest
• The integration of 5G with edge computing and AI will unlock new opportunities for industries to optimize operations, enhance productivity, and deliver innovative customer experiences. Nokia Oyj
• The seismic shift towards Edge AI and distributed computing is profoundly altering the competitive dynamics within the AI industry, creating new opportunities and challenges for established tech giants, innovative startups, and major AI labs. FinancialContent
• IDC projects worldwide edge computing spending rising from ~ $228 billion in 2024 to ~ $378 billion by 2028. Medium
• AMD will bring its AI processing capabilities and edge computing solutions to accelerate AI-powered digital twin systems development and deployment across industries. RTInsights
• Over the next decade, Novaspace anticipates rising demand for Earth-observation imagery with a resolution of 30 to 50 centimeters per pixel or even less, services that promise to frequently revisit sites of interest and speedy information delivery supported by edge computing. SpaceNews
• Generative AI chips will be worth $150 billion in 2025, driven by demand in data centers and enterprise edge computing. Ainvest
• Global semiconductor revenue is projected to reach $705 billion in 2025, according to Gartner, as demand for artificial intelligence and high-performance computing (HPC) chips surges across data centers and edge devices. Yahoo Finance
• AI inference workloads could account for more than 80% of computing by 2030, when factoring in on-device processing, autonomous driving, edge computing, and agentic AI systems. Forbes
• By 2025, edge computing will become more widespread and deeply integrated with Artificial Intelligence, forming powerful AIoT (AI + IoT) capabilities. InHand Networks

Last updated: 09 November 2025