rssbigdata https://my.idc.com/rss/2802.do IDC RSS alerts 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 市场份额:中国医疗健康大数据解决方案市场份额,2025 https://my.idc.com/getdoc.jsp?containerId=CHC53829026&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本IDC研究分析了2025年中国医疗健康大数据解决方案市场中领先供应商的市场份额。</P><P>报告分析了医疗大数据解决方案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疗大数据解决方案供应商时参考。</P><P>IDC中国医疗行业市场分析师林红表示:"中国医疗大数据市场已从基础建设迈入价值驱动新阶段,行业底层逻辑发生重塑。医院采购重心由合规评级转向疾病诊断相关分组(DRG)或按病种分值付费(DIP)、国考、降本增效等经营改善诉求。AI技术驱动技术架构由二级向数据平台+模型+智能体三家架构转型。运营大数据、区域监管、存量升级带来新机会,同时医院端存在结构性增长压力。传统市场竞争加剧,厂商需摆脱传统项目制,深耕垂直场景,提升数据+AI+服务一体化能力,打造持续服务能力,规避同质化竞争。"</P> Market Share Tue, 29 Sep 2026 04:00:00 GMT Erin Lin Market Analysis Perspective: Japan AI and Data Platforms, 2026 https://my.idc.com/getdoc.jsp?containerId=JPJ54211026&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本プレゼンテーションは、国内AI(Artificial Intelligence)市場、AIプラットフォーム市場、アナリティクス市場、およびデータプラットフォームに関連する2025年の市場動向、ユーザー企業の動向、および2026年~2030年の予測を提供する。IDCでは、国内AI市場支出額の調査レポートを年間情報提供サービスとして提供している。このサービスでは、国内の企業向けAIシステムに関連するテクノロジー別市場を定義し各市場の動向と市場規模を調査、分析するとともに、生成AIおよびエージェンティックAIを含めたAIシステムの中核となるAIプラットフォーム市場や、アナリティクスやデータプラットフォームなどの周辺の各市場について併せて市場動向と規模に関する調査と分析を行い報告している。</P> Market Analysis Perspective Fri, 25 Sep 2026 04:00:00 GMT Takuya Uemura Autodesk University 2026: Addressing Spatial Data Quality and Integration Across Applications https://my.idc.com/getdoc.jsp?containerId=lcUS54944526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>Autodesk's new unified geolocation engine provides a common labeling system for geospatial data across Civil 3D, Revit, and Forma. This removes a long-standing source of model misalignment and manual data quality work for architecture, engineering, and construction (AEC) firms working with these tools.</P> IDC Link Thu, 24 Sep 2026 04:00:00 GMT Dan Everett IDC Market Glance: AI Platforms and Governance Technologies, 3Q26 https://my.idc.com/getdoc.jsp?containerId=US54330526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Glance provides a current view of the worldwide AI platforms and governance technologies market, covering AI platforms, trustworthy AI software, AI governance platforms, and data preparation software. The market is moving toward integrated environments that connect AI development, deployment, orchestration, data access, and governance as enterprises scale generative and agentic AI.</P><P>AI platforms are evolving from collections of features into broader control environments that manage the AI life cycle. Agent orchestration is becoming an important execution layer for multiagent workflows, while governance is moving directly into development and runtime processes through explainability, content safety, lineage, policy enforcement, and continuous oversight. Data infrastructure is also playing a larger role by providing governed context, memory, and state for AI systems.</P><P>As foundation models, agent technologies, governance capabilities, and data services converge, differentiation will increasingly depend on interoperability, operational control, model routing, evaluation, governed data access, and continuity from development through production. This IDC Market Glance helps organizations understand how these capabilities fit together and where vendors are positioned across the evolving AI platform and governance landscape.</P> IDC Market Glance Thu, 24 Sep 2026 04:00:00 GMT Kathy Lange IDC MarketScape: Japan Unified AI Platforms 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=JPJ54131126&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>本調査レポートは、国内Unified AI(Artificial Intelligence) Platforms市場における主要ベンダーに対して、IDC MarketScapeモデルに基づいて「戦略(Strategies)」および「能力(Capabilities)」の評価を行い、その分析結果を報告するものである。また、ITバイヤーがUnified AI Platformを選定する際に留意すべき事項を提示している。</P><P>「国内企業のAI活用は、個別のツールの組み合わせから、データ・モデル・AIエージェント・ガバナンスを一体で扱う統合的なプラットフォーム(Unified AI Platforms)へと軸足を移しつつある。同プラットフォームは必ずしも相互排他的な競合関係にあるわけではなく、企業のAI環境は複数のプラットフォームの併存を前提とせざるを得ない。したがってプラットフォームの有用性は、自社が内包する機能の広さだけでなく、他のプラットフォームとの相互利用性や、オープンなエコシステムの中でハブとしての役割をどこまで担えるかによっても左右される。ITバイヤーは、エージェンティックAIへの対応など、機能面の成熟度を個別に見極めた上で、既存のデータ基盤との連携性や横断的なガバナンスを選定の中心的な評価軸に据えるべきである」と、IDC Japan、AI and Automationのシニアリサーチマネージャーである植村 卓弥は分析している。</P> IDC MarketScape Thu, 24 Sep 2026 04:00:00 GMT Takuya Uemura, Takashi Manabe IDC MarketScape: Worldwide Conversational Intelligence and Analytics Software 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54117626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study represents a vendor assessment of the worldwide conversational intelligence and analytics software market through the IDC MarketScape model. This assessment discusses both quantitative and qualitative characteristics that provide guidance about conversational intelligence and analytics software vendors and their offerings. This IDC MarketScape covers a number of major vendors participating in the market and focused on providing conversational intelligence and analytics software tools for a wide variety of use cases, data types, and communication channels. The evaluation is based on a comprehensive and rigorous framework that assesses vendors relative to the criteria and to one another and highlights the factors expected to be the most influential for success in the market in both the short term and the long term.</P><P>"In a fast-moving market where AI is rapidly commoditizing conversational analytics capabilities, choosing a vendor that provides trust, transparency, and partnership may be as strong a factor in success as the technology itself," said Hayley Sutherland, research manager, Conversational AI at IDC. "Technology and business leaders should carefully assess their organization's AI maturity and needs, and examine vendors closely for both forward-looking, easy-to-use technology and the AI partnership and thought leadership they provide for their customers."</P> IDC MarketScape Thu, 24 Sep 2026 04:00:00 GMT Hayley Sutherland Nokia SReXperts and Wavelengths 2026: How AI Is Rewriting the IP and Optical Playbook https://my.idc.com/getdoc.jsp?containerId=lcUS54944626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>AI was a major focus of Nokia's SReXperts and Wavelengths 2026, running through nearly every session on both the IP/datacenter and optical tracks, part of a broader shift: networks built for deeper automation and greater scale, with new protocols and standards still catching up to and evolving alongside AI's requirements.</P><P>IP and optical are converging on similar goals, absorbing AI-scale growth without a linear rise in cost, power, or complexity, and Nokia's IP and optical portfolios were on full display to make this case, backed by an expansive demo footprint spanning routing, switching, photonics, and security. Sessions and perspectives from enterprises, service providers (SPs), and specialist cloud SPs (aka neoclouds) added further evidence of where demand and architecture choices are heading.</P> IDC Link Thu, 24 Sep 2026 04:00:00 GMT Paul Nicholson