rsscloudcomputing https://my.idc.com/rss/2803.do IDC RSS alerts IDC MarketScape: Worldwide AI-Enabled Direct Spend 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54900426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study provides insights into the worldwide AI-enabled direct spend market. Direct spend software is becoming a strategic control plane for manufacturers, connecting design, BOMs, sourcing, supplier collaboration, cost, quality, risk, and execution. In 2026, leaders differentiate through manufacturing-specific process depth, ERP/PLM integration, closed-loop collaboration, and governed AI — not generic RFx capability. Buyers should prioritize fit for their manufacturing model and clean master-data flows, measurable AI outcomes, and embedded sustainability and compliance. The market is shifting toward supervised agentic workflows, should-cost intelligence, multitier visibility, and convergence with product life-cycle and supply chain systems.</P><P>"Direct spend is no longer indirect procurement with longer lead times — it is the digital control plane linking product design, sourcing, supplier execution, and risk. The winners will pair manufacturing depth with governed AI and integration that works in production." — Patrick Reymann, research director, Procurement Applications and Agents</P> IDC MarketScape Fri, 18 Sep 2026 04:00:00 GMT Patrick Reymann, Simon Ellis IDC MarketScape: Worldwide Intelligent Customer Communication Management 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54131626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC MarketScape study represents a vendor assessment of the worldwide intelligent customer communications management (CCM) software market through the IDC MarketScape model. This year's assessment lands at an inflection point for the market: vendors are racing to embed AI into every layer of the platform, rather than treating it as a bolt-on content-generation feature. That shift is also reshaping the competitive landscape itself, as AI-assisted migration tooling meaningfully lowers the switching costs that have long protected incumbent vendors. This study evaluates CCM vendors on the strength and maturity of their AI and automation strategy, the rigor of their governance and compliance posture as AI takes on more autonomous work, and their ability to reduce the operational and administrative burden that has historically driven CCM's total cost of ownership. </P><P>"AI is now touching nearly every part of the CCM platform, including authoring, personalization, admin, migration, and orchestration," said Amy Machado, research director, IDC. "That's exactly why governance cannot be an afterthought. Buyers need to know who approved what, where their data went, and whether the AI enforcing their compliance rules are transparent and auditable." </P> IDC MarketScape Fri, 18 Sep 2026 04:00:00 GMT Amy Machado 市场份额:中国医院资源规划系统市场份额,2025 https://my.idc.com/getdoc.jsp?containerId=CHC54682726&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC研究分析了2025年中国医院资源规划(HRP)系统市场中领先供应商的市场份额,阐释了市场的发展趋势和竞争态势,并对领先厂商在2025年的市场表现进行了分析评价。本报告可供医院在选择医院资源规划系统供应商时参考。</P><P>"2025年国内HRP行业整体保持小幅稳步增长,医院端需求升维,从财务、物资管理系统的基础建设阶段,转向DRG/DIP成本管控、集团医共体统一运营、全院运营数据治理、AI智能等模块及功能的建设阶段,为行业中长期增长打开空间。未来,市场竞争将转向AI运营智能体、全栈信创兼容、集团化多院区协同,以及专业化技术和咨询服务的综合能力比拼。未来一阶段,市场资源将持续向具备完整产品矩阵、全链路数智服务能力的头部厂商集中。"——IDC中国医疗领域高级市场分析师林红</P> Market Share Fri, 18 Sep 2026 04:00:00 GMT Erin Lin Market Forecast: Worldwide Datacenter Facilities Power Forecast, 2026–2030 https://my.idc.com/getdoc.jsp?containerId=EUR154809226&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study provides a forecast for the worldwide datacenter facilities power market and delivers insights into its drivers and inhibitors of growth.</P><P>"As we see unprecedent growth of datacenter buildout, two questions arise: where is the energy coming from to support this growth, and how can it be properly managed? Builders and operators of these datacenters will have to bring together governments, grid operators and distributors, vendors that offer best-in-class hardware and software solutions, and even schools to provide much-needed skilled workers for various specialized functions," said Luis Fernandes, senior research manager, IDC Cloud and Datacenters, Enterprise Infrastructure.</P> Market Forecast Thu, 17 Sep 2026 04:00:00 GMT Andrew Buss, Luis Fernandes, Mikhail Jaura Microsoft Announces the General Availability of Azure Virtual Desktop Hybrid https://my.idc.com/getdoc.jsp?containerId=lcEUR154927026&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>On Tuesday, September 1, Microsoft announced the general availability of Azure Virtual Desktop Hybrid (AVD Hybrid), marking a major milestone for organizations looking to modernize their virtual desktop infrastructure. This new model bridges cloud-native desktop management with existing on-premises infrastructure, allowing enterprises to run session host virtual machines (VMs) inside their own datacenters on their hypervisor of choice, including VMware vSphere, Nutanix AHV, or Microsoft Hyper-V, while seamlessly connecting those hosts to Azure using Azure Arc.</P> IDC Link Thu, 17 Sep 2026 04:00:00 GMT Filippo Vanara Red Hat AI 3.5 Extends AI Governance and Cost Controls Across Hybrid Infrastructure https://my.idc.com/getdoc.jsp?containerId=lcUS54933626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>Red Hat has released Red Hat AI 3.5, an update to its AI portfolio centered on pre-deployment safety verification, resource controls for shared GPU infrastructure, agentic operations, multi-tenancy, and native observability with token-level cost attribution. The release reflects a change in what buyers expect from AI platforms, as the operational discipline applied to production infrastructure now governs how AI workloads are evaluated, isolated, and managed.</P> IDC Link Thu, 17 Sep 2026 04:00:00 GMT Matthew Flug 中国AI算力管理平台技术能力评估,2026 https://my.idc.com/getdoc.jsp?containerId=CHC54922826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC研究主要围绕面向混合云的AI算力管理平台的技术能力开展,希望通过对中国市场AI算力管理平台提供商的技术评估以及对最终用户的客观访谈来帮助市场更加全面地了解国内AI算力管理平台技术的发展现状和发展方向。</P><P>"随着近年来AI业务应用在中国市场的蓬勃发展,大规模AI算力作为智能应用的核心资源,已经为云服务提供商和行业客户提供了海量的资源支撑能力。正因为海量AI算力需求的不断扩张,如何充分利用分布在数据中心或云端的AI算力,提高AI应用的开发部署效率,已成为重要议题。AI算力管理能力逐渐成为云服务提供商的核心关注点,目前各大服务商已在算力池化和调度技术领域进行了深入的布局和实践。"——张犁,IDC中国云基础架构领域高级研究经理</P> Technology Assessment Thu, 17 Sep 2026 04:00:00 GMT Lee Zhang IDC MarketScape: 中国人工智能就绪的数据存储基础设施2026年厂商评估 https://my.idc.com/getdoc.jsp?containerId=CHC54132926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本次IDC研究聚焦于中国提供AI-RDSI产品或解决方案的厂商,IDC针对入选的技术提供商的解决方案能力以及战略进行评估,主要标准包括产品服务内容与组合、市场化能力和商业化能力三个部分。各维度根据市场情况划分为多个细分标准,并配以不同的权重,从而形成IDC MarketScape综合评分体系。通过IDC分析师针对厂商和最终用户的深入访谈,集中分析并确定各AI-RDSI产品/解决方案提供商在IDC MarketScape中的相对位置,并探讨供应商的特点和战略,总结发展趋势,为CIO们选型AI-RDSI产品/解决方案时提供参考。</P><P>“AI负载带来特有挑战,AI训练、推理所需硬件架构区别于传统业务;模型训练存在短时、爆发式高资源消耗特征;海量数据高速传输的网络能力,同样是保障AI工作负载高效运行的关键。同时,支撑AI应用训练与运行的基础设施重要性持续提升,且未来数年基础设施支出将成为AI总投入的主体,因此成本优化至关重要。技术提供商需充分掌握各类新兴技术的能力特性,并搭建一套合理且丰富的架构方案,充分发挥适配人工智能基础设施投资的商业价值,同时协助技术买家优化成本、性能与安全水平,使技术买家能够灵活选用多种AI就绪的数据基础设施部署方式与运营模式。”——杨昀煦,IDC中国企业级存储基础设施研究经理</P> IDC MarketScape Wed, 16 Sep 2026 04:00:00 GMT Yunxu Yang, William Zhang 中国智能体身份安全治理技术评估,2026 https://my.idc.com/getdoc.jsp?containerId=CHC54911026&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC研究主要围绕智能体身份安全治理相关产品和解决方案开展,希望通过对中国市场中主要智能体身份安全治理技术提供商的技术评估帮助市场更加全面地了解中国智能体身份安全治理相关技术在过去的发展情况以及未来的技术发展趋势。本次报告具体评估内容包括但不限于智能体身份安全治理涉及的智能体发现与管理、智能体身份认证与管理、智能体身份授权治理、智能体行为监控与风险检测、智能体身份审计与溯源、人机共治能力、AI生态兼容能力等方向。</P><P>IDC中国网络安全市场高级研究经理赵卫京表示:"当前中国智能体身份安全治理市场仍处于产品成型和早期落地阶段,技术提供商正在围绕智能体发现、身份认证、动态授权、行为监控、审计溯源和人机协同等能力构建产品体系。未来,随着智能体数量增长以及多智能体、MCP、Skills等生态快速发展,市场竞争将逐步从单点身份安全能力转向'身份—权限—行为—审计'一体化治理能力,并向持续授权、运行时控制、跨域可信协作和智能化运营演进。对于企业而言,智能体身份安全将成为AI应用上线和规模化运行不可缺少的基础设施;对于安全技术提供商而言,谁能够率先建立完整的产品闭环,并解决与现有IAM、零信任及AI平台的融合问题,谁就更有机会在这一新兴市场中形成先发优势。"</P> Technology Assessment Wed, 16 Sep 2026 04:00:00 GMT Austin Zhao IDC Market Glance: AI Infrastructure Ecosystem, 2026 https://my.idc.com/getdoc.jsp?containerId=US54294426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Glance presents a current-state view of the worldwide AI infrastructure ecosystem spanning the infrastructure hardware, software, components and services vendors that enable AI workloads for model training, inference, and agentic workflows. The ecosystem is organized into five segments: AI Cloud Services, Non-Cloud Service Providers, Core AI Infrastructure Providers, AI Infrastructure Software, and AI-Ready Components. Each segment is further divided into sub-segments that group the representative vendors competing and collaborating to support hyperscalers, specialized clouds, enterprise buyers, and other service providers.</P><P>As AI workloads move into production at scale, infrastructure represents one of the largest cost elements underpinning AI ROI and total cost of ownership (TCO) analysis. Enterprise buyers increasingly expect to rely on a broad ecosystem of interoperable on-premises and public cloud infrastructure solutions supported by open standards and agentic AI operational controls. </P> IDC Market Glance Tue, 15 Sep 2026 04:00:00 GMT Mary Johnston Turner