rssbigdata https://my.idc.com/rss/2802.do IDC RSS alerts AI Token工厂的网络与存储加速 https://my.idc.com/getdoc.jsp?containerId=CHC54979226&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC市场看法基于公开资料、IDC Token经济与智能体研究及MLPerf Inference v6.0基准测试数据,深度分析AI时代数据中心从“算力竞赛”向“Token效率竞赛”的范式转移,以及网络与存储在此进程中的加速作用。核心发现聚焦于三大转变:评估标尺从“每美元FLOPS”转向“每Token成本”——推理负载占比将达70%;网络与存储从“连接管道”“数据仓库”升级为决定效率上限的“神经系统”“工作台”,二者合计仅占基础设施TCO的约16%—18%,却决定五分之四以上资产的运行效率;网络利用率从60%提至95%、以存代算使TTFT改善约9—20倍,叠加企业级Token成本一年下降67%的剪刀差,正推动AI从“烧钱”走向“盈利”。文章从AI网络四维度、AI原生存储四层架构及Token经济学三个转向等维度,为技术提供商与服务提供商提供可操作的建设与投资建议。</P><P>“AI时代的数据中心之争,不是比谁买的GPU更多,而是比谁的GPU真正在产出Token。核心矛盾不在于算力不足,而在于网络与存储这两个隐性杠杆被长期忽视——不到五分之一的投资,却决定五分之四以上资产的运行效率;在推理占企业AI预算超80%的今天,这种错配随时可能吞噬GPU投资的回报。能赢下来的Token工厂,一定是那些把网络利用率和存储缓存命中率当作一等公民来经营的玩家。”——胡向东,IDC企业网络基础设施领域研究总监。</P> Market Perspective Mon, 26 Oct 2026 04:00:00 GMT Xiangdong Hu, Laura Chen IDC MarketScape: Worldwide Private Cloud Infrastructure Software Platforms 2026–2027 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54490426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study presents a worldwide assessment of private cloud infrastructure software platform providers through the IDC MarketScape model. It evaluates thirteen vendors (Broadcom, Canonical, HPE, IDT System, Mirantis, Nutanix, OpenNebula, Platform9, Red Hat, Sangfor, SUSE, VergeIO, and Virtuozzo) against a structured framework of capability and strategy criteria, drawing on vendor briefings, product documentation, a customer reference survey, and independent IDC research. Private cloud infrastructure software has moved from a stable, mature layer of the datacenter into one of the most actively contested decisions in enterprise IT. Three converging pressures are reshaping it: the disruption of the incumbent virtualization stack, the arrival of AI as an on-premises and increasingly sovereign workload, and a sharpened focus on data sovereignty and cost. The market is now bifurcated between broad full-stack providers and focused challenger platforms, and the historical line between virtualization and container platforms is blurring. This study is intended to help infrastructure and platform engineering leaders match a platform to their own workload profile, migration realities, sovereignty and certification requirements, and multiyear modernization plans, rather than default to a reflexive renewal.</P><P>"Private cloud infrastructure software is no longer a settled market. A forced migration away from the dominant incumbent, the pull of on-premises and sovereign AI, and renewed pressure on cost and control have turned the platform choice into a multiyear strategic decision, and buyers are rewarding vendors that deliver on their commitments over those with the longest feature list," says Shahin Hashim, associate research director, Storage and Data Management, Enterprise Infrastructure, IDC.</P> IDC MarketScape Tue, 20 Oct 2026 04:00:00 GMT Shahin Hashim, Phil Goodwin AWS for NFL 2026: AI Transformation of the Sports Industry from the Melbourne Cricket Ground https://my.idc.com/getdoc.jsp?containerId=US54950926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Note provides IDC's observations and analysis from AWS' pregame analyst briefing in Melbourne, Australia, ahead of the NFL's first regular-season game in the country, focused on the decade-long AWS-NFL AI/ML partnership and what it reveals about enterprise AI adoption across industries.</P><P>"The AWS-NFL partnership shows that professional sports are among the frontrunners of enterprise AI transformation, where controlled experimentation, data readiness, and long-term, industry-specific partnerships translate directly into the success of AI," said Daeil Chun, senior research manager, AI Research at IDC.</P> Market Note Wed, 14 Oct 2026 04:00:00 GMT Daeil Chun HPE Networking Investor Day 2026: Integration Ahead of Plan Supports Higher Growth Targets https://my.idc.com/getdoc.jsp?containerId=lcUS54977726&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>At its September 30, Networking Investor Day, HPE raised its FY28 cost synergy target to $800 million, lifted its FY27 networking revenue growth outlook to the high-teens to low 20% range, and projected a high-teens revenue CAGR through FY29 led by AI datacenter demand, including a recent marquee win at Oracle and a $1.2 billion order from Vultr, which is the first announced customer for the HPE QFX5252 scale-up switch, purpose built for the AMD Helios platform. Delivering on these targets depends on easing supply constraints, ramping up Helios and Oracle shipments in a back-end-loaded FY27, and cross-selling the combined HPE and Juniper Networks portfolio through a unified partner program launching on November 1.</P> IDC Link Wed, 14 Oct 2026 04:00:00 GMT Brandon Butler, Paul Nicholson, Leslie Rosenberg, Taranvir Singh The Open Lakehouse Becomes Asia/Pacific's Default AI Substrate: Engineering Context for Agentic AI https://my.idc.com/getdoc.jsp?containerId=AP52199525&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Perspective examines why agentic AI in Asia/Pacific is stalling at the data layer and how the open lakehouse is emerging as the region's default AI substrate. It argues that engineered context, assembled from open table formats, real-time operational-analytical convergence, vector memory, and knowledge graphs, is what makes autonomous agents trustworthy, and that governance and cost, not capability, now form the ceiling on scaling. Drawing on IDC's 2026 Asia/Pacific surveys, it maps the demand, the four pillars of the context engine, the vendor landscape, and the actions technology leaders should take now.</P><P>"AI does not fail in the model; it fails in the context. In Asia/Pacific, the winners are re-architecting data as a governed, real-time context engine on an open lakehouse, treating vectors and knowledge graphs as first-class citizens," says Deepika Giri, associate vice president, AI and Data Research, IDC Asia/Pacific.</P> IDC Perspective Tue, 13 Oct 2026 04:00:00 GMT Deepika Giri NetApp INSIGHT 2026: Novus Extends ONTAP to AI Factory Scale, with PEAK:AIO as the Metadata Bet Behind It https://my.idc.com/getdoc.jsp?containerId=lcUS54963426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>At INSIGHT 2026, NetApp paired the launch of Novus with its planned acquisition of PEAK:AIO, a move meant to scale metadata and maximize GPU utilization in the largest clusters. On the enterprise side, NetApp opened its AI Data Engine (AIDE) to storage from other vendors, extending its reach across the enterprise data estate on the bet that finding and governing data in place will improve AI project success rates.</P> IDC Link Wed, 07 Oct 2026 04:00:00 GMT Jason Echols, Carol Sliwa, Natalya Yezhkova, Phil Goodwin IDC MarketScape: Worldwide Embedded Payment Applications in Treasury Management Workflows 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54917326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study assesses vendors offering embedded payment capabilities inside treasury workflows, covering cash aggregation, multi-horizon forecasting fed by AP and AR data, treasury-grade payment execution, and FX and liquidity risk monitoring. The study evaluates how well vendors extend forecasting and cash visibility from a broader finance platform into a genuine treasury capability rather than a bolt-on reporting layer.</P><P>"Cash aggregation across banks and accounts has become table stakes, so the real differentiation in treasury now comes from how forecasting draws on live AP and AR data instead of static exports," said Jordan Steele, research manager, Financial Applications, IDC. "Agentic AI adoption in treasury is still uneven across the vendors we evaluated, and that gap is likely to define the next round of competitive separation in this workflow."</P> IDC MarketScape Wed, 30 Sep 2026 04:00:00 GMT Jordan Steele, Kevin Permenter Market Share: Worldwide Search and Knowledge Discovery Software Shares, 2025 https://my.idc.com/getdoc.jsp?containerId=US53729326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study examines the 2025 market shares of the leading vendors in the search and knowledge discovery software market. </P><P>It presents a view of search and knowledge discovery software revenue broken down by vendor for the calendar year 2025.</P><P>"Agentic AI can't act on what it can't find. Before an agent can reason, plan, or execute, it has to discover the right knowledge in the right moment — which makes search and discovery the foundation of everything else in AI is built on, not a feature bolted onto the top," says Amy Machado, Research Director, Content and Knowledge Discovery Strategies.</P> Market Share Tue, 29 Sep 2026 04:00:00 GMT Amy Machado The Right Model for the Right Task — Matching AI Usage to Document Complexity https://my.idc.com/getdoc.jsp?containerId=US54922326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Perspective examines how organizations should match model capability to document complexity in intelligent document processing (IDP). It maps a spectrum of document types from highly structured and semistructured to unstructured or exception content, examining the best-fit model class for each and how to organize an intelligent routing system. This document looks at the best-fit uses for rules engines and OCR, small language models, and more heavyweight LLMs reserved as an escalation tier.</P><P>“The organizations getting the most out of intelligent document processing are not the ones sending every document to the most capable model they can buy,” said Andrew Gens, senior research analyst, Document AI and Exchange, IDC. “They route each document to the lightest tier that can handle it, and save the heaviest models for the documents that genuinely need them.”</P> IDC Perspective Tue, 29 Sep 2026 04:00:00 GMT Andrew Gens 市场份额:中国AI+政务服务市场份额,2025 https://my.idc.com/getdoc.jsp?containerId=CHC54853826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC研究分析了2025年中国AI+政务服务市场中领先供应商的市场份额。研究聚焦于中国政务服务市场,关注AI在政务服务行业的落地,重点分析政务服务市场的政策趋势、建设机会、市场规模、厂商份额、厂商能力等。当前,政务服务解决方案供应商积极布局AI技术,推动其与政务服务业务深度融合,并加快相关应用场景落地,以提升政务服务效率和业务效能。</P><P>IDC政府行业研究经理金子惠表示:"中国AI+政务服务市场处于传统建设需求放缓与AI应用加速导入的过渡阶段。政策持续推进,推动政务AI从前期试点向规模化场景落地和业务流程深度融合演进。与此同时,政务AI建设模式和厂商竞争逻辑也在发生变化,市场竞争将由模型能力比拼转向场景适配、智能体应用与持续运营。预计2027—2028年,前期AI建设逐步进入规模化复制阶段,AI相关需求有望进一步释放,推动市场逐步恢复增长。"</P> Market Share Tue, 29 Sep 2026 04:00:00 GMT Janice Jin