https://my.idc.com/rss/2803.do IDC RSS alerts https://my.idc.com/getdoc.jsp?containerId=CHC54133226&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC研究聚焦于中国市场中具备完整混合云AI智算平台产品和解决方案的技术提供商，对入选技术提供商的能力和战略进行综合评估。其中，能力评估指标涵盖产品功能与服务、产品组合优势、客户服务、定价模型等方面；战略评估指标涵盖产品战略、增长情况、研发战略、交付战略、创新性等方面。各评估维度根据市场情况进一步划分为若干细分项，并配以不同权重，从而形成IDC MarketScape综合评分体系。IDC分析师通过对各个厂商和众多最终用户的深入访谈，综合分析并确定了各厂商在IDC MarketScape中的相对位置，并分析了厂商的能力和战略，为政企客户选择混合云基础架构提供商提供参考。</P><P>IDC云基础架构高级研究经理张犁表示：“在目前的中国市场，混合云AI智算平台已经成为企业核心的AI基础设施。为了应对GenAI应用需求的爆发式增长，各行业企业都在不断增加在混合云AI业务方面的技术投入，同时持续优化混合云AI算力管理和AI应用支撑技术能力。与此同时，混合云AI智算平台提供商在对企业进行深度服务过程中意识到，AI算力和应用决定了混合云基础架构部署形态的演进，解决方案需要针对业务场景进行灵活调整。”</P> IDC MarketScape Sun, 08 Nov 2026 05:00:00 GMT Rachel Liu, Lee Zhang https://my.idc.com/getdoc.jsp?containerId=US52039825&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study is an evaluation of prominent container data and infrastructure management software vendors on a worldwide basis. While it offers details on each vendor's capabilities and offerings, it is not meant to be a buyer's guide. Instead, this evaluation is intended to help IT leaders differentiate between vendor solutions and narrow down candidates that align with their stage of Kubernetes adoption, level of Kubernetes expertise, agentic AI workload deployment, and long-term goals of their application infrastructure.</P><P>"Many organizations are accelerating their agentic AI deployment, which is also driving them toward container and Kubernetes infrastructure," said Johnny Yu, research manager, Infrastructure Software Platforms at IDC. "The result is greater demand for container data and infrastructure management software to not only protect Kubernetes application data but also bring in elements of AI data governance and control."</P> IDC MarketScape Fri, 06 Nov 2026 05:00:00 GMT Johnny Yu https://my.idc.com/getdoc.jsp?containerId=CA54999526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey draws on IDC's 2026 <I>AI Tech Trends Survey</I><I>,</I> a worldwide survey of 2,453 organizations fielded in July 2026, and isolates the Canadian subsample of 150 respondents for comparison against the worldwide total on every question in scope. Each chart in this presentation presents the Canadian result alongside the worldwide figure so readers can see where Canada is tracking the world and where it is diverging.</P><P>The analysis covers:</P><UL><LI>AI factory adoption stage: how far Canadian organizations have progressed from no significant AI factory activity to full production deployment</LI><LI>AI factory deployment model: hybrid, on-premises, and cloud infrastructure choices for AI factories</LI><LI>AI factory provider selection: which vendors Canadian organizations name as their leading AI factory provider</LI><LI>Neocloud adoption funnel: current use, near-term plans, and evaluation activity for neocloud (specialized cloud, GPU-as-a-service) providers</LI><LI>Neocloud drivers: what pulls Canadian organizations toward neocloud services relative to the worldwide sample</LI><LI>Neocloud provider requirements: how much a bundled, unified AI platform matters alongside raw GPU capacity</LI><LI>Neocloud workload commitment: how much AI workload Canadian organizations plan to run on neocloud capacity by the end of 2026</LI></UL><P>AI factory adoption in Canada is entering a phase where scaling from limited production to broad deployment matters more than the initial evaluation decision. Canadian organizations already diverge from the worldwide pattern on deployment model and provider selection, favoring hybrid infrastructure and naming NVIDIA as their lead provider more often.</P><P>Neocloud demand follows the same split. Canadian organizations cite lower cost more often than the world does, rate a unified AI platform as important at the same rate (about 7 in 10), and plan to keep their 2026 neocloud workloads at modest levels.</P> IDC Survey Fri, 06 Nov 2026 05:00:00 GMT Nigel Wallis https://my.idc.com/getdoc.jsp?containerId=lcUS55026026&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>Oracle used AI World 2026 on October 26 and 27 to introduce Oracle App Composer, the Deep Trust AI Architecture, updates to OCI Enterprise AI, and Snowflake as a native service on Oracle Cloud Infrastructure (OCI), extending Oracle's platform for coding agents and agent-built applications. Oracle positions the database as the point where agent policy is enforced, though availability and pricing remain open for several offerings.</P> IDC Link Fri, 06 Nov 2026 05:00:00 GMT Adam Reeves https://my.idc.com/getdoc.jsp?containerId=lcUS55026126&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>At SAP TechEd on October 27, 2026, SAP expanded SAP Business AI Platform, its platform as a service (PaaS) for building, contextualizing, and governing agentic solutions, with updates to Joule Work, Joule Studio, SAP Knowledge Graph, agent governance, and detailed action-based pricing for agentic consumption. Taken together, the announcements show SAP presenting a managed, Joule-fronted platform that absorbs the integration work of a large portfolio while metering access to its business context.</P> IDC Link Fri, 06 Nov 2026 05:00:00 GMT Adam Reeves https://my.idc.com/getdoc.jsp?containerId=US54991626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey examines how national civilian government agencies use cloud for mission workloads, why they combine several providers, and what decides provider selection. It draws on 100 IT decision-makers surveyed in July 2026.</P><P>Public cloud is the most used model, including for many government, mission-specific workloads. Private cloud is also used frequently and is experiencing growth in demand because of more pressing sovereignty requirements. Multicloud is the norm; however, portability, interoperability, and governance challenges remain.</P> IDC Survey Thu, 05 Nov 2026 05:00:00 GMT Massimiliano Claps https://my.idc.com/getdoc.jsp?containerId=CA54991826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey draws on IDC's 2026 <I>AI Tech Trends Survey,</I> a worldwide survey of 2,453 organizations fielded in July 2026, and isolates the Canadian subsample of 150 respondents for comparison against the worldwide total on every question in scope. Each chart in this deck presents the Canadian result alongside the worldwide figure so readers can see where Canada is tracking the world and where it is diverging.</P><P>The analysis covers:</P><UL><LI>Adoption stage — how far Canadian organizations have moved from evaluation toward funded agentic AI implementation</LI><LI>Operating model — centralized versus decentralized control today and over the next two years</LI><LI>Build approach — embedded, bespoke, and mixed internal-partner development models for AI agents</LI><LI>Deployment model — hybrid, multicloud, and on-premises infrastructure choices for agentic AI, today and in two years</LI></UL><P>"Agentic AI adoption in Canada is entering a phase where the operating model, centralized or decentralized, hybrid or multicloud, matters as much as the pace of adoption itself," says Nigel Wallis, research VP, IDC Insights. "Canadian organizations sit inside a technology buying environment where committed implementation is running at or ahead of the worldwide pace even as the underlying build and deployment choices diverge from where the rest of the world is heading."</P> IDC Survey Thu, 05 Nov 2026 05:00:00 GMT Nigel Wallis https://my.idc.com/getdoc.jsp?containerId=EUR154316326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study provides the five-year forecast for the European managed SD-WAN services market and delivers insights into the drivers and inhibitors of growth.</P><P>"Accelerating adoption of AI is redefining network requirements. Managed SD-WAN providers should evolve their propositions to become a foundation of the AI-fueled enterprise," said Jan Hein Bakkers senior research director, Telecoms at IDC.</P> Market Forecast Thu, 05 Nov 2026 05:00:00 GMT Jan Hein Bakkers, James Eibisch https://my.idc.com/getdoc.jsp?containerId=US54979826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Presentation is a follow-up document to IDC's <I>Vertical SaaS, AI, and Industry Cloud: State of the Union, 2026.</I> It covers select preferred vendors, their satisfaction ratings overall and for each of the attributes included in IDC's six pillars for industry solutions model. The document is based on a survey that polled 413 United States–based respondents across industries, including manufacturing, financial services, healthcare, telecommunications, software and information services, retail, and business and personal services. The survey asked about adoption, benefits, challenges, and related topics for all three solution types: vertical SaaS, vertical AI, and industry cloud. The document provides a detailed analysis of the findings, comparing trends, preferences, most wanted enhancements, and satisfaction ratings across verticals and organization sizes.</P><P>A follow-up document will include an analysis of direct user feedback for the same select vendors, including Amazon, Google, IBM, Microsoft, Oracle, and Salesforce, as well as for the most common embedded AI use cases by industry.</P> Market Presentation Thu, 05 Nov 2026 05:00:00 GMT Nadia Ballard https://my.idc.com/getdoc.jsp?containerId=US54995526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey of platform decision-makers and developers examines how organizations choose, govern, and place PaaS and cloud platforms as agentic AI reshapes demand. Multicloud is the default; security and sovereignty set the limits on where workloads run, and developers carry real weight in the decision. The findings show platform vendors how to win the developer proof of concept, lead with security and governance proof, and support multivendor and sovereign deployment.</P> IDC Survey Wed, 04 Nov 2026 05:00:00 GMT Adam Reeves