On June 19, 2025, in Shanghai, China, a collaborative “AI Core for ACN Summit” was held during MWC Shanghai, which leading global mobile operators and vendors from China, Japan, and Europe convened to delve into innovative Artificial Intelligence (AI) core technologies, especially Agentic AI, signifying a constructive step forward in technological cooperation.
The global mobile connectivity ecosystem is in the midst of a transformative phase. As traditional removable Subscriber Identity Module (SIM) cards are increasingly replaced by Embedded SIM (eSIM) and Integrated SIM (iSIM) technologies, technology providers across the value chain must rethink their long-held strategies, supply chains, and product offerings.
As enterprises deepen their digital transformation initiatives, the need for a unified architecture to manage and access data across disparate systems is becoming critical. A data fabric—a cohesive data management framework that integrates data from various sources and locations—is emerging as a cornerstone for future-ready enterprises. Yet, implementing a data fabric comes with its own set of challenges.
The Artificial Intelligence (AI) market continues to heat up, with tech juggernauts and emergent startups alike constantly innovating to accommodate new enterprise demands. AMD is one company that is privy to evolving market trends. At its Advancing AI 2025 event in San Jose, California, AMD unveiled new chips, system designs, and partnerships aimed at grabbing more of the AI compute market. Beyond the hardware and software upgrades, a recurring theme at the event was the expanding client list of neocloud providers. While neoclouds have enjoyed recent traction in the AI space, several roadblocks lie ahead before long-term success is a sure thing.
The Artificial Intelligence (AI) server market is entering a pivotal growth phase. ABI Research forecasts that the global market size will reach US$245 billion in 2025, up 25% from 2024. By 2030, AI server sales will grow even further, pushing the market to US$524 billion, representing an 18% Compound Annual Growth Rate (CAGR). Dell, Hewlett-Packard Enterprise (HPE), Inspur, and Lenovo are market leaders.
Artificial Intelligence (AI) is undergoing a rapid evolution across Southeast Asia (SEA), with private sector investment expected to reach US$3.2 billion by 2028. ABI Research has observed AI spending by businesses accelerating across industries like telecommunications, logistics, manufacturing, banking, and insurance.
As fleet telematics systems evolve from basic vehicle tracking to comprehensive fleet intelligence platforms, selecting the right partner has become a strategic decision. The right telematics solution can reduce operating costs, increase safety, and enhance asset utilization, but only if it meets your operational needs and scales with your business.
For the first time, NVIDIA GTC partnered with VivaTech Paris to host one of the largest technology events of the year. Drawing over 180,000 attendees, the event highlighted sovereign Artificial Intelligence (AI) and its transformative potential for the European ecosystem. NVIDIA took this opportunity to position itself, once again, as the de facto partner for regional AI development, while also continuing to develop its message around agentic inference and AI democratization.
As quantum computing threatens to undermine conventional encryption, the global security community is actively transitioning to Post-Quantum Cryptography (PQC). For example, ABI Research forecasts that PQC services revenue will grow 22% annually through 2030, reaching US$680 million.
5G Radio Access Network (RAN) automation is rapidly transforming how Mobile Network Operators (MNOs) manage, deploy, and monetize their infrastructure. As network complexity increases and operators seek energy reductions and new revenue streams, RAN automation offers a pathway to intelligent, scalable, and highly autonomous networks. ABI Research forecasts that annual spending on 5G RAN automation will triple by 2029, reaching US$6.6 billion. In this post, we cover the latest developments in RAN automation, including adoption drivers, key use cases, innovations, and the pivotal role of Artificial Intelligence (AI) in making 5G networks more autonomous.