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IDC PlanScape: Cloud Governance Operationalization

Gerald Johnston — Fri, 29 May 2026 04:00:00 GMT

Many organizations have learned that without a cloud strategy that informs the governance model, the initial speed and flexibility of cloud can quickly give way to rising costs, operational challenges, and increased risk. This is particularly evident when multiple teams independently provision development, test, production, and recovery environments or when modernization efforts defer key architectural decisions — resulting in greater long-term complexity and expense.

This IDC PlanScape discusses cloud governance operationalization across organizations.

“Effective cloud governance is not about slowing innovation — it is about making the right way the easy way. By standardizing service offerings, embedding controls into delivery pipelines, and aligning cross-functional accountability, organizations can scale cloud adoption without sacrificing visibility, security, or cost discipline,” said Gerald Johnston, adjunct research advisor, IDC’s IT Executive Programs (IEP).

IDC Survey: How Energy Retailers and Suppliers and Water Utilities Are Directing Their IT Investment — Insights from IDC's 2026 Energy and Utilities Industry-Specific Tech and Innovation Survey

Gaia Gallotti — Fri, 29 May 2026 04:00:00 GMT

This IDC Survey examines a portion of IDC's 2026 Energy and Utilities Industry-Specific Tech and Innovation Survey. IDC's 2026 Energy and Utilities Industry-Specific Tech and Innovation Survey is a landmark study covering utilities around the world. It was run from February to March 2026.

The survey covered 800 respondents, of whom 513 are utilities respondents from the following countries: Australia, Brazil, Canada, Denmark, Finland, France, Germany, India, Italy, KSA, Mexico, the Netherlands, New Zealand, Nigeria, Norway, the Philippines, Poland, Portugal, South Africa, Spain, Sweden, Turkey, the UAE, the United Kingdom, and the United States.

This study extrapolates and analyzes select data for 169 energy retailers and suppliers and 91 water suppliers around the world.

This presentation covers the IT investment direction of the survey, analyzing data such as:

2026 external IT spending breakdown (%)
Budget ownership by domain
Expected change in 2026 IT spending (nominal)
Approach to digital innovation under current market conditions
Reasons for slowing, pausing, or deferring innovation
Differences and similarities between energy retailers and suppliers and water suppliers

Industry Market Forecast: Asia/Pacific Manufacturing, 2026

Stefanie Naujoks, Jonathan Lang, Nigel Wallis, Heriberto Roman — Fri, 29 May 2026 04:00:00 GMT

This IDC Market Presentation provides tech vendor product managers and market intelligence leads with an overview of manufacturing digital transformation (DX) spending, insights into the Asia/Pacific manufacturing market context, and highlights how manufacturing organizations are investing in industry-specific DX use cases in the region during 2026.

By looking at the size of the Asia/Pacific market and the top growing use cases, technology vendor executives can better evaluate:

Areas for investment in products or services development
Sales and marketing campaign prioritization
Market penetration

Used in combination with the other industry intelligence reports, this document can help technology vendors gain a competitive advantage in the Asia/Pacific region.

"Digital transformation in the Asia/Pacific manufacturing sector is now defined by selective acceleration. Investment is concentrating where automation, intelligence, and resilience converge into measurable economic outcomes. Vendors that align tightly with production realities such as cost pressure, workforce constraints, and operational volatility will outperform those leading with generalized, abstract platform narratives," says Stephanie Krishnan, Research VP, IDC Manufacturing Insights.

SaaS and Agent Path: Executive Summary, 2026

Nadia Ballard, Mickey North Rizza, Eric Newmark, Frank Della Rosa — Fri, 29 May 2026 04:00:00 GMT

This IDC Market Presentation provides an executive summary of the worldwide findings from IDC's 2026 SaaS and Agent Path program.

IDC's 2026 SaaS and Agent Path Survey polled 2,845 respondents across 5 continents and 12 countries to collect information on SaaS adoption, the SaaS buyer's journey, the value of generative AI (GenAI) and agentic AI in SaaS applications, and SaaS vendor preferences and ratings.

Coverage includes application adoption, deployment models, budget plans and replacement cycle timing, purchasing preferences and attitudes toward SaaS buying channels, pricing options, SaaS-based AI, vendor ratings, spend, and advocacy scores for 22 functional application markets, including accounts payable; accounts receivable; collaborative application; contract life-cycle management (CLM); core HR; asset life-cycle management (ALM); employee experience; ERP; facility management; finance; learning experience management (LXM); payroll; procurement; product life-cycle management/computer-aided design (PLM/CAD); professional services automation (PSA); supply chain management (SCM); subscription management; talent acquisition; talent management; tax; travel and expense; and treasury and risk management.

NTTデータ先端技術、「INTELLILINK Private AI スタートパック」で機密データの検証環境を提供

Yukihisa Hode — Wed, 27 May 2026 04:00:00 GMT

本調査レポートは、NTTデータ先端技術が2026年3月に提供を開始したサブスクリプション型オンプレミスAIサービス「INTELLILINK Private AI スタートパック」を取り上げ、同ソリューションの国内AIインフラ市場におけるポジショニングや市場展開戦略を分析する。IDCは、プライベート環境において組織内データを活用したAI検証を促進することで、国内企業におけるAIインフラ投資の加速に寄与するとみている。

中国智能体开发平台市场份额, 2025

Zhenya Sun, Yanxia Lu — Wed, 27 May 2026 04:00:00 GMT

本IDC研究提供了2025年中国智能体开发平台市场的市场份额数据，2025年是中国智能体开发平台市场规模化落地的关键一年。供给侧围绕Agent DevOps与全生命周期运营完成了一轮密集的产品迭代，头部厂商相继发布覆盖开发、编排、测试、发布、运维的完整平台形态，自然语言驱动的智能体构建、企业级长记忆等能力进入主流产品矩阵，产品成熟度不断提升。叠加国务院《关于深入实施“人工智能+”行动的意见》与工信部《“人工智能+制造”专项行动实施意见》等政策牵引，市场整体进入供给成熟、需求明确、商业路径初步清晰的规模化运营阶段。

2025年，中国智能体开发平台市场的竞争焦点从Agent开发与编排向全生命周期运营迁移。头部厂商围绕Agent开发、测试、发布、运维等能力完成了一次集体产品升级，平台能力从开发编排向测试评估、运行托管、运维治理与闭环迭代延伸。伴随企业内部Agent数量增多，自建、平台、开源以及直连大模型四类Agent并存的治理问题开始浮现，平台厂商的能力边界也从开发工具进一步扩展到智能体的纳管与协同。进入下一阶段，竞争关键在于能否把Agent嵌入企业业务流程与组织流程，并在规模化运行条件下沉淀出可持续的商业模型。

2026年国内ITインフラ支出動向調査：ソブリンAI対応がプライベートAIインフラ投資を促進

Yukihisa Hode, Shinya Kato — Tue, 26 May 2026 04:00:00 GMT

本調査レポートは、2026年2月に実施した「Japan Digital and AI Infrastructure Strategies and Investment Survey 2026」のユーザー調査データを基に、国内企業のデジタルインフラ戦略およびAI（Aritificial Intelligence）インフラ投資動向を分析したものである。

本調査の目的は、AI活用の本格化を見据え、国内企業のデジタルインフラ戦略やAIインフラ投資動向における優先項目を把握し、分析することである。具体的には、デジタルインフラ投資の目的がビジネス成果志向に転換しているか、仮想化環境の移行がどの程度進んでいるか、AIインフラ投資における優先項目や課題は何か、そして従業員規模によってAIインフラ投資の傾向にどのような違いがあるかに焦点を合わせて分析する。

IDC Japan、Infrastructure, Imaging and Devicesのリサーチマネージャーである宝出幸久は、「国内企業におけるITインフラ予算は増加傾向にあるものの、投資目的は業務効率化への期待が中心であり、イノベーション創出や競争優位の獲得への期待は相対的に小さい。仮想化基盤の移行が計画・実行段階へと進む一方、大企業は安定性、コスト最適化、ソブリンAI対応の観点からプライベートAIインフラを強く志向している。AI活用が加速する中、ITインフラへの戦略的投資が競争優位の確立を左右するという認識を持ち、投資判断の軸を見直すことが不可欠である」と分析している。

Agentic AI Implications for IaaS Network Services

Taranvir Singh — Tue, 26 May 2026 04:00:00 GMT

This IDC Market Perspective explores how agentic AI is transforming IaaS network services, emphasizing the need for high-performance connectivity, efficient application networking, and integrated security and governance. As enterprises scale agentic AI deployments, strategic networking partner preferences are shifting toward cloud SPs. The report offers recommendations for vendors, highlighting the importance of specialized AI networking capabilities, validated designs, and expertise to support dynamic, distributed agentic AI environments.

"Networking is foundational to agentic AI. Its pervasive presence across AI agent interactions positions it as an important enabler of end-to-end connectivity, security, and governance," says Taranvir Singh, research manager, Cloud Networking Services, IDC. "For AI agents to operate at production scale, the network must function as an intelligent policy fabric, not just an underlying transport layer."

Dell Technologies World 2026: Operationalizing AI at Enterprise Scale

Matthew Eastwood, Tom Mainelli, Ashish Nadkarni, Leslie Rosenberg — Tue, 26 May 2026 04:00:00 GMT

At Dell Technologies World (DTW) 2026, Dell advanced its "full stack" AI-ready IT portfolio by announcing developments in compute, data management, storage, networking, cyber-recovery, AI-enabled automation, end-user devices, and IT services. Dell positioned AI infrastructure as the foundation for data life-cycle management, emphasizing "AI for infrastructure and infrastructure for AI." A highlight was the enhanced AI Factory narrative, marking a shift from reference architecture to production-scale systems. The event underscored that enterprise AI is progressing from pilots to operational deployment, where data access, GPU utilization, sovereignty, and hybrid placement decisions are increasingly important. Dell conveyed that success in AI now hinges on the design, deployment, and operation of integrated AI systems at scale, requiring the right hardware across hybrid cloud, multicloud, on-premises datacenters, and desktops. Enterprises must manage token economics, enabling customers to use their own data for AI model development while controlling bandwidth and token costs.

European Cloud AI Capabilities: Adoption Trends and Vendor Differentiation

George Ayad, Carla Arend — Tue, 26 May 2026 04:00:00 GMT

This IDC Market Perspective analyzes the transformative interplay between cloud infrastructure and artificial intelligence (AI), examining how this synergy redefines vendor portfolios and end-user selection criteria. As AI matures into the foundational operating system of the modern enterprise, the document evaluates the shifting demand for AI-specialized infrastructure, sovereign data governance, and embedded intelligence across all IT workloads.

"The trajectory of AI within enterprise infrastructure is defined by a high-stakes convergence of shifting regulatory mandates, economic cycles, and architectural transformation. Data sovereignty and localized security are now primary architects of the modern AI stack, forcing a pivot toward specialized environments that ensure jurisdictional autonomy. Economically, the market is entering a phase of rigorous cost rationalization where "AI at any cost" is yielding to quantifiable ROI. This drives a focus on inference efficiency and specialized hardware to balance innovation with sustainable performance," says George Ayad, senior research analyst, EMEA Infrastructure, IDC.