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AI Cost Management Implementation Challenges

Tim Law — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Tech Leader Presentation reveals that enterprises are struggling to bring discipline to AI cost management as they scale generative and agentic AI. Many have yet to establish clear, documented accountability for AI spending, leaving them exposed to cost overruns and missed opportunities to reduce spend. Few organizations systematically track cost per outcome, which makes it difficult to tie AI investments to business results, and the evaluation and FinOps platforms available today remain immature at measuring business outcomes. Organizations are applying a range of optimization techniques, such as prompt optimization, model routing, and evaluations, while more advanced approaches like hierarchical agent design, context window management, and fine-tuning smaller models are less widely adopted. To close these gaps, technology leaders should assign direct, top-level accountability supported by a structured RACI, create a team to identify the right cost tracking tools, and progressively build the ability to track cost per outcome that captures both consumption and deliverables.

"The only way for enterprises to responsibly scale AI is to ensure best practices in AI cost management with the tools and technology to track costs, including both consumption and outcomes. It begins with accountability," says Tim Law, research director, AI and Automation.

IDC Market Glance: Japan AI Infrastructure Ecosystem, 4Q26

Yukihisa Hode — Fri, 30 Oct 2026 04:00:00 GMT

本IDC Market Glanceは、「Japan AI Infrastructure Ecosystem」の現状を簡潔に視覚的に示すことを目的とし、市場全体の構造を可視化したレポートである。本プレゼンテーションは、企業経営者、プロダクトマネージャー、市場調査担当者やアナリストリレーションズ担当者が、全体の市場またはエコシステムの構造を理解し、市場機会・事業機会・パートナーシップ機会を評価し、自社が競争環境の中でどの位置にあるのかを把握するために活用できるものである。

IDC MarketScape: Worldwide Public Cloud AI Infrastructure as a Service 2026–2027 Vendor Assessment

Dave McCarthy, Jasdeep Singh, Taranvir Singh — Fri, 30 Oct 2026 04:00:00 GMT

This IDC study evaluates a select set of providers of public cloud AI infrastructure as a service, scoring accelerated compute, high-performance interconnect, AI-optimized storage, and the orchestration and consumption layer across both training and inference workloads.

The assessment finds that accelerator supply is no longer the dominant variable. Headline cluster figures have converged, and competitive separation now comes from the layers surrounding the accelerator: storage metadata performance, fabric behavior, automated fault recovery, and the commercial constructs through which constrained capacity is secured. Fabric choice, open standards participation, consumption model design, and facility engineering have all become points of differentiation, while inference is separating from training as a distinct infrastructure discipline.

"AI infrastructure has become a strategic decision rather than a procurement exercise," said Dave McCarthy, group vice president, Cloud and Datacenters, Enterprise Infrastructure, at IDC. "As organizations move AI from experimentation into production, the platform beneath the model increasingly determines what it costs to train, how quickly it reaches users, and whether it can be operated at scale under real governance constraints."

IDC Survey: Redesigning Cloud for a New Risk Era — How Geopolitical Disruption Is Reshaping Cloud Strategy in Asia/Pacific

Daphne Chung — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Survey shares the Asia/Pacific results from IDC's 2026 Cloud Pulse Q2 Survey, which examines how the March 2026 cloud disruption incidents from the conflict in the Middle East are reshaping cloud infrastructure strategies across Asia/Pacific. It explores cloud's share of ICT budgets, continuity preparedness by risk type, the resilience safeguards in production, and confidence in organizations' pre-incident posture. It also covers planned strategic responses, including changes to region-selection criteria, provider and sovereign cloud choices, workload repatriation, and contractual protections.

India Case Study: Building Nugget — How Zomato Scaled Its Conversational AI Platform to Production on Amazon Web Services

Rajiv Ranjan — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Perspective documents the stages of Zomato's modernization to develop Nugget, a robust, modern conversational AI–enabled CX platform. The case study discusses Nugget's development, its usage internally by Zomato employees, and its launch to the external market and adoption. It also highlights what value Amazon Web Services (AWS) provided in building and launching Nugget and why enterprises should consider Nugget.

"Conversational AI platforms can help organizations modernize fragmented, legacy CX processes into a unified, multichannel, and multilingual experience that delivers personalized interactions and scales on demand to support a growing customer base," says Rajiv Ranjan, associate research director, IDC.

Industry Cloud and AI Path, 2026: Visualization and Analysis Portal

Nadia Ballard, Frank Della Rosa, Eric Newmark, Mickey North Rizza — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Market Perspective provides clients of IDC's Industry AI and Cloud Path (IAICP) program with access to the IAICP 2026 Visualization and Analysis Dashboard. This dashboard is a "playground" where you can explore the cloud, generative AI, and agentic AI topics in Industry AI and Cloud Path and examine findings through the lens of various buyer profiles.

Market Analysis Perspective: Japan Digital Infrastructure Strategies, 2026

Yukihisa Hode, Masashi Ando — Fri, 30 Oct 2026 04:00:00 GMT

本プレゼンテーションは、国内ITインフラ市場、AIインフラ市場、ITインフラストラクチャサービス市場、およびハイパーコンバージドシステム市場に関連する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ITインフラ市場予測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、ハードウェア、ソフトウェア、サービスを横断する国内ITインフラ市場の動向と市場規模を調査・分析するとともに、AIインフラなどの関連市場についても併せて調査と分析を行い報告している。

Market Share: Korea Public Cloud Services Shares, 2026

Myeong Han Kim — Fri, 30 Oct 2026 04:00:00 GMT

본 보고서는 국내 퍼블릭 클라우드 서비스 시장의 최신 동향과 경쟁 구도를 분석한다. 전체 시장 규모와 성장률, 주요 벤더의 점유율 변화를 다루며, IaaS·PaaS·SaaS 세부 시장별 경쟁 구도까지 체계적으로 제시한다. 아울러 주요 벤더별 전략 방향과 최근 주요 동향도 함께 짚어 시장 경쟁 구도에 대한 이해를 돕는다. 본 보고서를 통해 현재 국내 퍼블릭 클라우드 시장 전반에 대한 분석을 제공할 뿐만 아니라 퍼블릭 클라우드와 관련한 전략적 혁신 및 기술 채택 요인, 기술 구매자 요구사항 동향에 대한 정보를 제공하여 기업 경영진과 투자자의 의사결정을 지원하고자 한다.

AI原生安全重构下的私有云安全建设市场洞察，2026

Joe Zhao — Thu, 29 Oct 2026 04:00:00 GMT

随着私有云与智算云的大规模建设，中国私有云安全市场正经历从合规外挂向云原生全栈内生的深刻转型。安全能力全面覆盖虚拟机、容器、微隔离、云原生应用保护平台（CNAPP）及安全资源池，并深度融合密码与数据合规要求。

“面对云上安全工具与告警量的激增，安全智能体已成为市场核心变量，正从辅助研判走向多源攻击溯源、编排处置与自动响应。同时，防护边界延伸至智能体自身的身份、权限、提示词及运行隔离，有效填补运营人才缺口，驱动私有云安全防护体系向AI原生主动防御全面重构。”——IDC中国安全与信任领域高级研究经理赵义表示。

IDC MarketScape: Worldwide Technology Distributor Platforms 2026–2027 Vendor Assessment

Nadia Ballard, Frank Della Rosa — Thu, 29 Oct 2026 04:00:00 GMT

This IDC study highlights how technology distributor platforms have evolved into sophisticated, AI-driven ecosystems that unify commerce, automation, and partner enablement. This evaluates several technology distributors, emphasizing that platform capabilities — rather than sheer scale — now drive differentiation. Buyers are advised to match platform strengths to their business needs, consider regional and vertical fit, and treat distributor selection as a portfolio decision, as no single platform leads across all criteria.

"After years of R&D, technology distributors are now among the most progressive operators of compound platform architecture — fusing marketplace, commerce, financial, data, and agentic AI into a single operating system for the channel, arguably the model's most complex expression yet," said Frank Della Rosa, research vice president, SaaS, Business Platforms, and Industry Cloud.

"In the race for value at scale, platform architecture is a key differentiator for technology distributors and an indicator of their strategic direction to partners," added Nadia Ballard, research director, AI Verticalization and Industry Cloud Strategies.