rsscloudcomputing https://my.idc.com/rss/2803.do IDC RSS alerts IDC MarketScape: 中国大模型开发平台2026年厂商评估 https://my.idc.com/getdoc.jsp?containerId=CHC54109426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>2026年全球基础大模型迭代进程显著提速,行业应用场景持续细分、落地需求持续深化,推动大模型开发平台进入能力升级与场景落地的关键迭代期。当前,头部厂商已围绕高端推理、大规模部署、长上下文、智能体、代码工程、企业知识库集成等核心场景,搭建各类行业专有模型体系,大模型产业化应用正式从通用调用走向垂直深耕。在此行业背景下,大模型开发平台的核心价值与发展逻辑发生根本性转变,不再局限于单一模型封装与基础能力输出,而是朝着模型中立兼容、Agent智能化、安全合规落地、数据知识贯通、全流程运营赋能五大核心方向全面演进。</P><P>IDC人工智能研究经理程荫表示:”2026年基础大模型迭代提速,产业化应用向垂直场景深耕,大模型开发平台迎来全面升级。行业呈现五大核心趋势:实现模型中立兼容与全链路场景交付、Agent智能化能力成为标配、安全合规及私有化部署成为政企刚需、端到端数据知识集成持续完善,精细化运营服务也成为平台核心竞争力。”</P> IDC MarketScape Thu, 06 Aug 2026 04:00:00 GMT Anne Cheng IDC’s Worldwide Semiannual Cloud IaaS Tracker Taxonomy, 2026 https://my.idc.com/getdoc.jsp?containerId=US54777726&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study provides a detailed taxonomy of the public cloud infrastructure as a service and related SaaS — system infrastructure software markets. The scope of this document includes public cloud compute, storage, and networking services, as well as the data protection software, archiving software, and other computing and storage software markets.</P><P>“This taxonomy represents the classification of public cloud IaaS and related software markets,” said Jasdeep Singh, research manager, Cloud and Infrastructure Services at IDC. “It is designed to establish the market definitions and boundaries that serve as the foundation for IDC’s market sizing and forecasting activities.”</P> Taxonomy Thu, 06 Aug 2026 04:00:00 GMT Jasdeep Singh, Taranvir Singh, Dave McCarthy, Ashish Nadkarni, Rasmus Andsbjerg IDC’s Worldwide Semiannual Security Public Cloud Services Tracker Taxonomy, 2026 https://my.idc.com/getdoc.jsp?containerId=US54684326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study presents IDC’s taxonomy for security public cloud services. It provides definitions and a comprehensive framework for cloud-delivered security software across eight technology category markets. This taxonomy forms the foundation for IDC’s market forecasts and market shares for IDC’s Worldwide Semiannual Cloud Security Services Tracker. </P><P>“A consistent taxonomy is the foundation for meaningful market analysis. It enables vendors and end users to speak a common language while providing the structure for accurate market sizing, forecasting, and competitive assessment.” — Monika Soltysik, senior research analyst, Security and Trust Products at IDC</P> Taxonomy Thu, 06 Aug 2026 04:00:00 GMT Monika Soltysik, Michelle Abraham, Emanuel Figueroa, Mark Child, Frank Dickson, Pete Finalle, Jennifer Glenn, Philip D. Harris, CISSP, CCSK, Christopher Kissel, Ryan O'Leary, Esq., Christopher Rodriguez CX Path: Executive Summary, 2026 — Examining the CX Buyer’s Journey https://my.idc.com/getdoc.jsp?containerId=US53084926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Presentation provides an executive summary of the worldwide findings from IDC’s 2026 <I>CX Path</I> program.</P><P>IDC’s 2026 <I>CX Path </I>polled 2,530 respondents across 12 countries to collect information on CX application and AI adoption, the CX buyer’s journey, and CX vendor preferences and ratings.</P><P>Coverage includes application adoption, use of generative AI and/or agentic AI, deployment models, budget plans and replacement cycle timing, purchasing preferences and attitudes toward CX buying channels, pricing options, CX management platforms, ratings, spend, and advocacy scores. The study covers 14 functional application markets: advertising; marketing; sales; digital commerce; configure, price, quote (CPQ); product information management/experience management (PIM/PXM); contact center and customer service; voice of the customer (VOC); customer experience orchestration; content and experience management; customer data platforms (CDPs); customer and digital experience analytics; aftermarket service life-cycle management; and price optimization.</P> Market Presentation Wed, 05 Aug 2026 04:00:00 GMT Nadia Ballard, Aly Pinder, Eric Newmark, Tiffany McCormick, Douglas Hayward 市场份额:中国大数据平台市场份额,2025 https://my.idc.com/getdoc.jsp?containerId=CHC54632726&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC研究分析了2025年大数据平台市场中领先供应商的市场份额。</P><P>IDC中国AI与数据领域高级分析师李浩然表示:”随着AI Agent与自主数据流的成熟,AI大数据平台将进一步向自然语言交互、自优化、自运维的智能化形态演进,成为企业构建差异化AI竞争力与实现数据资产高效变现的核心基础设施。2025年中国大数据平台市场即实现了27.8%的增长。”</P> Market Presentation Wed, 05 Aug 2026 04:00:00 GMT Leo Li, Yanxia Lu IDC Market Glance: FinOps — Service Providers and GreenOps, 2Q26 https://my.idc.com/getdoc.jsp?containerId=US54780526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Glance is updated for 2026. It offers a graphical representation of financial operations (FinOps) service providers and green operations (GreenOps) vendors in the marketplace by product category. This overview illustrates key segments of the overall FinOps cloud cost transparency market, including FinOps service providers, hyperscalers, GreenOps and niche vendors. The two main segments are GreenOps and FinOps service providers/services. Each segment includes most of the key players in cloud cost transparency for FinOps.</P> Market Presentation Tue, 04 Aug 2026 04:00:00 GMT Jevin Jensen Are Team Collaboration Platforms the Last Stand for Human Interfaces in the Agentic Future? https://my.idc.com/getdoc.jsp?containerId=US54781126&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Perspective argues that throughout their execution life cycle, agents must communicate with humans in structured ways: reporting progress milestones, explaining delays, escalating decisions, and justifying conclusions to meet explainability and transparency requirements. Correspondingly, human work is shifting toward managing, monitoring, auditing, and evaluating agentic activity. Team collaboration platforms are the natural venue for this exchange, as they already sit where humans coordinate work. They can give agents a single, familiar interface for reporting, escalation, and review; absorb the surge of handoffs that AI-accelerated development creates; and visualize multiagent behavior that traditional monitoring cannot, all at a lower switching cost than adopting new collaboration features inside an agentic layer.</P><P>“The next platform war won’t be won by whoever builds the best agent — it’ll be won by whoever controls where humans and agents actually meet.” — Daeil Chun, senior research manager, AI Research, IDC</P> Market Perspective Wed, 29 Jul 2026 04:00:00 GMT Daeil Chun, Alessandro Perilli Market Forecast: Worldwide Intelligent Cloud and Edge Operations with FinOps Software Forecast, 2026–2030 https://my.idc.com/getdoc.jsp?containerId=US53342426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC presentation provides the five-year forecast for the worldwide intelligent cloud and edge operations with FinOps software market.</P><P>The market performed exactly as expected in 2025, topping the $28 billion total addressable market (TAM). By 2030, and with conservative growth assumptions, we expected to hit nearly $50 billion TAM. AI drivers and infrastructure automation buildout will continue to drive this software market, especially as hybrid architectures remain popular with enterprises.</P><P>"The market performed exactly as expected in 2025, topping the $28 billion total addressable market (TAM). By 2030, and with conservative growth assumptions, we expected to hit nearly $50 billion TAM. AI drivers and infrastructure automation buildout will continue to drive this software market, especially as hybrid architectures remain popular with enterprises." — Jevin Jensen, research vice president, Infrastructure and Operations, IDC</P> Market Presentation Wed, 29 Jul 2026 04:00:00 GMT Jevin Jensen IDC TechBrief: AI-Enabled Kubernetes Optimization and Security https://my.idc.com/getdoc.jsp?containerId=US54788926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC TechBrief examines how vendors are augmenting Kubernetes with AI and explains how organizations can gain from investing in these technologies. </P><P>The quest to optimize Kubernetes predates the current wave of AI. The surge in AI innovation, applied to Kubernetes environments, aims to deliver highly efficient configurations that yield significant savings to organizations. </P><P>But not all AI optimization tools are alike: some are essentially chatbots that suggest configuration improvements, some are standalone, and others are embedded in SRE suites. Which is best depends on the scope of a Kubernetes implementation; whether AIOps, SRE, FinOps, or DevOps/SecOps is involved; and what level of Kubernetes expertise the organization currently employs. </P><P>"Since the downsides of a suboptimal Kubernetes implementation are significant — money wasted, lackluster service levels, and security holes — IT leaders should explore the benefits of AI in the quest for an optimal Kubernetes environment while exercising caution in implementing technologies that might be new and unproven," said Stanley B. Gibson, adjunct research advisor with IDC's IT Executive Programs (IEP). </P> IDC TechBrief Tue, 28 Jul 2026 04:00:00 GMT Stanley B. Gibson, Jevin Jensen, George Mironescu IDC's Worldwide: Dedicated Cloud Infrastructure and Services Taxonomy, 2026 https://my.idc.com/getdoc.jsp?containerId=US53724426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study provides a detailed taxonomy for the dedicated cloud infrastructure and services market. The document covers the definitions of various building blocks and provides a top-level overview of dedicated cloud segments. IDC is retiring the term <I>private cloud</I> and replacing it with the term <I>dedicated cloud,</I> but the definition remains the same: environments in which IT resources are dedicated to a single organization and managed and delivered to end users utilizing cloud attributes. The growing availability of commercial and open source cloud platforms enables the increasing adoption of dedicated clouds by enterprises, while the proliferation of infrastructure management platforms for managing resources across multiple environments drives the expanding growth of hybrid IT environments.</P><P>"Dedicated cloud infrastructure as a service has become the defining ground for the enterprises seeking operational control over data placement, compliance posture, or workload governance," said Jasdeep Singh, research manager for IDC's Cloud and Infrastructure Services. "As OEM vendors, cloud service providers, and managed service providers compete in this market, the conversation has shifted from who can build the cloud to who can govern it, on the customer's terms, at the customer's choice of location, and in compliance with their regulatory and AI risk realities."</P> Taxonomy Tue, 28 Jul 2026 04:00:00 GMT Jasdeep Singh, Natalya Yezhkova, Dave McCarthy, Ashish Nadkarni, Rob Brothers, Lara Greden