Marcus Vance analyzes the global hyperscaler market and enterprise cloud adoption. He monitors competitive dynamics between AWS, Azure, and Google Cloud.
Oracle releases multiple multi-cloud updates, including general availability of Oracle Interconnect for AWS and AI Database@AWS coverage across 22 regions, marking a new phase of deep collaboration between cloud providers.
Japan's Data Protection as a Service (DPaaS) market is expected to grow from USD 1.097 billion in 2024 to USD 3.365 billion by 2029, at a CAGR of 20.5%, exceeding the global growth rate of 19.25%. Driven by APPI compliance, cloud migration, and AI threats, enterprise data protection is shifting from on-premises backup to managed services.
Analyze the growth trends of the global AI data center market, from technical architecture, enterprise impact, and competitive landscape to industry direction, providing decision-making references for CIOs and architects.
The surge in AI workloads is pushing "power supply capacity" to the forefront of data center construction. According to the latest report from Fact.MR, the AI power supply unit market will grow from $698 million in 2026 to $6.298 billion by 2036, representing a compound annual growth rate of 24.6%. From high-power PSUs to liquid cooling and open computing standards, the power chain of AI infrastructure is being rewritten.
As global AI computing power becomes highly concentrated in the hands of a few suppliers, enterprises and governments are beginning to rethink their infrastructure strategies. Distributed computing networks, edge inference, and verifiable execution are emerging as the new competitive arena.
Oracle Interconnect for AWS is now generally available, with AI Database@AWS expanded to 22 regions. Analyzing multi-cloud managed connectivity, AI databases, and enterprise IT architecture trends.
Based on the latest report released by NetSuite, this article interprets the 24 key trends across five major categories of cloud computing in 2026, including AI-driven infrastructure, multi-cloud and hybrid cloud, edge computing, and more, and analyzes their impact on enterprise IT architecture and the market competitive landscape.
The global AI data center market size is expected to grow from $36.32 billion in 2025 to $348.4 billion by 2035, at a compound annual growth rate of 25.37%. Analyze how high-performance computing, sustainable innovation, and intelligent cloud ecosystems drive the transformation of digital infrastructure.
On June 17, 2026, CBRE released the "Global Data Center Trends 2026" report, predicting that constrained global data center supply will persist until 2030, driving unprecedented increases in rental prices. The surge in AI computing demand stands in sharp contrast to supply bottlenecks such as power and construction cycles, and enterprise cloud costs, IT architecture, and infrastructure strategies will face major adjustments. This article provides an in-depth analysis of the report's core conclusions, examines the impact on enterprise IT costs and the competitive landscape, and offers recommendations for CIOs.
According to the latest report from Fortune Business Insights, the global cloud computing market is expected to reach $2.9 trillion by 2034. AI infrastructure, hybrid cloud, and sovereign cloud have become the core of growth. This article provides an in-depth analysis of the industry trends and corporate impact behind the market data.
Healthcare organizations face cloud skills gaps, multi-cloud complexity, and AI governance challenges. Managed cloud and AI services are shifting from cost control to strategic empowerment, becoming key levers for enterprise IT architecture transformation.
From the Dutch telecom Odido data breach, the macOS malware CrashStealer, to Iran using advertising metadata to track U.S. military phones, this week's security incidents reveal new threats facing enterprise cloud environments. Analyze the impact of these events on multi-cloud architecture, zero-trust strategies, and cloud security investments.
KPMG Technology Lead Phil Wong stated that as enterprises move toward Agentic AI, inference workloads will drive demand for high-speed, low-latency connections and change traffic patterns between cloud and AI infrastructure. Power shortages are becoming the biggest bottleneck for AI infrastructure expansion, and new data center locations are creating urgent demand for fiber routing and edge networks.
According to the latest report from Fortune Business Insights, the global cloud computing market size is expected to reach $781.27 billion in 2025 and is projected to grow to $2.9 trillion by 2034, with a compound annual growth rate (CAGR) of 15.7%. AI infrastructure, hybrid cloud, and sovereign cloud are key drivers.
The integration of OpenNebula and Waldur enables enterprises to manage cross-site AI workloads through a unified portal, supporting digital sovereignty strategies and providing interoperable cloud services for European AI factories and Gigafactories.
AI data center energy consumption increased by 17%, but the corporate sustainability reporting framework GHG Protocol has not yet clearly covered AI computing power consumption, creating a "ghost room". Experts call for the framework to evolve to match the reality of digital infrastructure.
AWS launches a new Local Zone in Hanoi, Vietnam, providing core services such as computing, storage, and networking, supporting data residency and AI/ML inference. This move marks the continuous investment of global cloud service providers in the Southeast Asian edge cloud market, and has a significant impact on enterprise localized deployment and low-latency applications.
Alibaba Cloud has launched a new public cloud region in Johor, Malaysia, equipped with two data centers, and plans to roll out a series of Agentic AI services. This move marks a further deepening of Alibaba Cloud's AI infrastructure layout in Southeast Asia, with significant implications for regional enterprises' cloud-native and large-scale AI applications.
Google Cloud security team layoffs, Coupang fined $400 million for data breach, Microsoft releases AI security incident response manual — this week’s security events reveal a shift in cloud security strategies from labor-intensive to automation and AI-driven, with enterprise compliance costs rising significantly.