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IDC MarketScape: Worldwide Container Data and Infrastructure Management Software 2026 Vendor Assessment

Johnny Yu — Fri, 06 Nov 2026 05:00:00 GMT

This IDC study is an evaluation of prominent container data and infrastructure management software vendors on a worldwide basis. While it offers details on each vendor's capabilities and offerings, it is not meant to be a buyer's guide. Instead, this evaluation is intended to help IT leaders differentiate between vendor solutions and narrow down candidates that align with their stage of Kubernetes adoption, level of Kubernetes expertise, agentic AI workload deployment, and long-term goals of their application infrastructure.

"Many organizations are accelerating their agentic AI deployment, which is also driving them toward container and Kubernetes infrastructure," said Johnny Yu, research manager, Infrastructure Software Platforms at IDC. "The result is greater demand for container data and infrastructure management software to not only protect Kubernetes application data but also bring in elements of AI data governance and control."

IDC Survey: AI Tech Trends Survey 2026, Canada — AI Factories and Neoclouds

Nigel Wallis — Fri, 06 Nov 2026 05:00:00 GMT

This IDC Survey draws on IDC's 2026 AI Tech Trends Survey, a worldwide survey of 2,453 organizations fielded in July 2026, and isolates the Canadian subsample of 150 respondents for comparison against the worldwide total on every question in scope. Each chart in this presentation presents the Canadian result alongside the worldwide figure so readers can see where Canada is tracking the world and where it is diverging.

The analysis covers:

AI factory adoption stage: how far Canadian organizations have progressed from no significant AI factory activity to full production deployment
AI factory deployment model: hybrid, on-premises, and cloud infrastructure choices for AI factories
AI factory provider selection: which vendors Canadian organizations name as their leading AI factory provider
Neocloud adoption funnel: current use, near-term plans, and evaluation activity for neocloud (specialized cloud, GPU-as-a-service) providers
Neocloud drivers: what pulls Canadian organizations toward neocloud services relative to the worldwide sample
Neocloud provider requirements: how much a bundled, unified AI platform matters alongside raw GPU capacity
Neocloud workload commitment: how much AI workload Canadian organizations plan to run on neocloud capacity by the end of 2026

AI factory adoption in Canada is entering a phase where scaling from limited production to broad deployment matters more than the initial evaluation decision. Canadian organizations already diverge from the worldwide pattern on deployment model and provider selection, favoring hybrid infrastructure and naming NVIDIA as their lead provider more often.

Neocloud demand follows the same split. Canadian organizations cite lower cost more often than the world does, rate a unified AI platform as important at the same rate (about 7 in 10), and plan to keep their 2026 neocloud workloads at modest levels.

IDC Survey: Cloud Adoption and Multicloud Sourcing in National Civilian Government

Massimiliano Claps — Thu, 05 Nov 2026 05:00:00 GMT

This IDC Survey examines how national civilian government agencies use cloud for mission workloads, why they combine several providers, and what decides provider selection. It draws on 100 IT decision-makers surveyed in July 2026.

Public cloud is the most used model, including for many government, mission-specific workloads. Private cloud is also used frequently and is experiencing growth in demand because of more pressing sovereignty requirements. Multicloud is the norm; however, portability, interoperability, and governance challenges remain.

IDC Survey: IDC's AI Tech Trends Survey, 2026, Canada — Agentic AI

Nigel Wallis — Thu, 05 Nov 2026 05:00:00 GMT

This IDC Survey draws on IDC's 2026 AI Tech Trends Survey, a worldwide survey of 2,453 organizations fielded in July 2026, and isolates the Canadian subsample of 150 respondents for comparison against the worldwide total on every question in scope. Each chart in this deck presents the Canadian result alongside the worldwide figure so readers can see where Canada is tracking the world and where it is diverging.

The analysis covers:

Adoption stage — how far Canadian organizations have moved from evaluation toward funded agentic AI implementation
Operating model — centralized versus decentralized control today and over the next two years
Build approach — embedded, bespoke, and mixed internal-partner development models for AI agents
Deployment model — hybrid, multicloud, and on-premises infrastructure choices for agentic AI, today and in two years

"Agentic AI adoption in Canada is entering a phase where the operating model, centralized or decentralized, hybrid or multicloud, matters as much as the pace of adoption itself," says Nigel Wallis, research VP, IDC Insights. "Canadian organizations sit inside a technology buying environment where committed implementation is running at or ahead of the worldwide pace even as the underlying build and deployment choices diverge from where the rest of the world is heading."

Market Forecast: European Managed SD-WAN Services Forecast, 2026–2030

Jan Hein Bakkers, James Eibisch — Thu, 05 Nov 2026 05:00:00 GMT

This IDC study provides the five-year forecast for the European managed SD-WAN services market and delivers insights into the drivers and inhibitors of growth.

"Accelerating adoption of AI is redefining network requirements. Managed SD-WAN providers should evolve their propositions to become a foundation of the AI-fueled enterprise," said Jan Hein Bakkers senior research director, Telecoms at IDC.

Vertical SaaS, AI, and Industry Cloud: Vendor Ratings 2026

Nadia Ballard — Thu, 05 Nov 2026 05:00:00 GMT

This IDC Market Presentation is a follow-up document to IDC's Vertical SaaS, AI, and Industry Cloud: State of the Union, 2026. It covers select preferred vendors, their satisfaction ratings overall and for each of the attributes included in IDC's six pillars for industry solutions model. The document is based on a survey that polled 413 United States–based respondents across industries, including manufacturing, financial services, healthcare, telecommunications, software and information services, retail, and business and personal services. The survey asked about adoption, benefits, challenges, and related topics for all three solution types: vertical SaaS, vertical AI, and industry cloud. The document provides a detailed analysis of the findings, comparing trends, preferences, most wanted enhancements, and satisfaction ratings across verticals and organization sizes.

A follow-up document will include an analysis of direct user feedback for the same select vendors, including Amazon, Google, IBM, Microsoft, Oracle, and Salesforce, as well as for the most common embedded AI use cases by industry.

IDC Survey: PaaS and Cloud Decision-Making

Adam Reeves — Wed, 04 Nov 2026 05:00:00 GMT

This IDC Survey of platform decision-makers and developers examines how organizations choose, govern, and place PaaS and cloud platforms as agentic AI reshapes demand. Multicloud is the default; security and sovereignty set the limits on where workloads run, and developers carry real weight in the decision. The findings show platform vendors how to win the developer proof of concept, lead with security and governance proof, and support multivendor and sovereign deployment.

Why Are Retailers Shifting from Cloud-Only to Hybrid Cloud-Edge Models?

Margot Juros — Mon, 02 Nov 2026 05:00:00 GMT

This Survey Spotlight examines retailers' significant shift from prioritizing cloud-first strategies to now embracing the benefits of hybrid cloud-edge models to meet AI's real-time data demands, protect data sovereignty, and control costs. The percentage of retailers prioritizing cloud-only IT architecture strategies declined from 47% in 2023 to just 19% in 2026, reflecting the new data needs and demands in today's retail environment.

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。