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IDC Survey: Cloud Application Deployment Platforms Usage and Trends

Matthew Flug — Sat, 14 Mar 2026 04:00:00 GMT

This IDC Survey examines how hybrid/multicloud strategies and the demands to both use and build AI-powered applications are influencing the application deployment platform market. This survey highlights what drives application platform purchasing decisions, top priorities for application platforms today and in the future, and how AI and AI agents are changing the application deployment platform landscape.

The survey results are from IDC’s Application Deployment Platforms Decision-Maker and Business Value Survey, a December 2025 web survey of 304 IT leaders in the United States who are decision-makers or influencers for platform strategy/deployment and are deploying applications via application platforms.

The survey findings indicate that hybrid cloud and multicloud deployment strategies are the standard, with more than 75% of organizations using a hybrid or multicloud model to deploy applications. In addition, purchasing authority is primarily held by IT operations, CTO, and CIO roles, which together account for 77.8% of responses. Last, the demand to both use and build AI apps and agents is changing what organizations require from application platforms and resulting in an opportunity for platform vendors who can effectively democratize their use and production.

2026年国内AIインフラおよびAI向けITインフラサービス市場動向分析：推論が主導する競争軸の転換

Yukihisa Hode, Shinya Kato, Mimei Ito — Fri, 13 Mar 2026 04:00:00 GMT

本調査レポートは、国内AI（Artificial Intelligence）インフラ（サーバー／ストレージ）市場と、AI向けITインフラサービス（構築／運用／保守サービス）市場を対象に市場予測を提供し、需要動向やベンダー動向を分析する。両市場に関する顧客タイプ別を含むセグメント別の市場予測、ユーザー調査に基づくAIインフラに対する需要分析、そして国内AIインフラ市場シェアや主要ベンダーの動向分析によって、国内AIインフラ市場の需要動向と競争環境の変化を明らかにする。そして、市場の変化を踏まえて、パートナーエコシステムなどの観点からITサプライヤーが両市場において市場機会を拡大するための提言を示す。

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AIインフラ市場は、国家戦略と企業競争力の強化に直結する重要な市場へと進化している。2026年は、学習中心の投資フェーズから、推論を軸とした社会実装フェーズへの転換点である。これに伴って、AIインフラは経済活動の高度化や中長期的な産業構造変革を支える国家的な基盤としての位置づけを強めていく。今後の競争軸は、AIインフラに関する包括的なポートフォリオ、新たなパートナーエコシステムの構築、そしてAIの本番実装に向けた変革支援能力である。これらを兼ね備えたITサプライヤーが、次の成長局面において市場の主導権を握る」と分析している。

HCLTech ERS Repositions with AI-Powered Chip-to-Cloud Engineering and a Focus on Business Outcomes

Abhishek Mukherjee, Mukesh Dialani — Fri, 13 Mar 2026 04:00:00 GMT

This IDC Market Note discusses how HCLTech ERS is evolving its engineering services through a chip-to-cloud strategy, integrating semiconductors, platform, software, and life-cycle capabilities. The company is focusing on business outcome-led engagements, advanced AI, custom chip design, and outcome-based pricing to drive innovation and margin growth. This transformation positions HCLTech as a full-stack partner for enterprises seeking end-to-end digital engineering solutions, though challenges remain in talent acquisition, operational complexity, and market adoption.

"As HCLTech ERS reimagines engineering from chip to cloud, the unified strategy can truly deliver business outcomes and reshape the future of enterprise innovation if the service provider acts." — Abhishek Mukherjee, research manager, Digital Engineering and Operational Technology Services, IDC

S3NS Accelerates Efforts to Lead in the European Sovereign Cloud and AI Software Stacks Market

George Mironescu — Fri, 13 Mar 2026 04:00:00 GMT

This IDC Market Note discusses S3NS's latest moves, capabilities, and ambitions within the sovereign cloud and software engineering market.

European Commission Launches Cloud Sovereignty Framework

Rahiel Nasir — Thu, 12 Mar 2026 04:00:00 GMT

This IDC study discussed the European Commission’s Cloud Sovereignty Framework, which was released in October 2025. The framework establishes a set of eight sovereignty objectives for cloud service procurement in the EU. These objectives, which span strategic, legal, data, operational, supply chain, technology, security, and environmental sovereignty, aim to set clear benchmarks for what constitutes digital sovereignty within the region.

The framework introduces the Sovereignty Effectiveness Assurance Level (SEAL) and a Sovereignty Score, which make sovereignty a mandatory criterion in public procurement. Tenders failing to meet minimum assurance levels across all objectives are rejected, reinforcing the EU’s commitment to digital autonomy.

IDC views the framework as a good step in clarifying sovereignty requirements and providing much-needed benchmarking for sovereign cloud offerings. But we also raise some concerns about the practicality of some objectives; notably, “Environmental Sustainability Sovereignty,” which may be challenging for smaller providers to achieve, and the aspects of “Strategic Sovereignty” that call for “ownership stability.”

“Will this level the cloud playing field in Europe? If there are homegrown providers that can meet all eight objectives and win the most SEAL points, then it may be possible. But it may prove tricky. Furthermore, what the framework should also factor in are the breadth and range of services a provider has to offer, scalability, skills, innovation capabilities, and contribution to the local (digital) economy.” — Rahiel Nasir, research director, European cloud strategies and lead analyst, worldwide digital sovereignty, IDC

IDC Survey Spotlight: What's the Difference in Agentic AI Maturity Between Native AI and Embedded AI Providers?

Frank Della Rosa — Thu, 12 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight presents results from IDC's January 2026 SaaS Provider Pulse Survey. It reveals that agentic AI adoption has entered a decisive phase. While most providers have moved beyond exploration, true differentiation emerges at the operationalization stage — where native AI strategies begin to outpace embedded approaches. The data signals a structural shift: agentic AI is no longer an enhancement layer but a core architectural decision shaping platform strategy, ecosystem positioning, and long-term competitive advantage. Providers that treat agentic AI as foundational infrastructure, not incremental functionality, will define the next generation of SaaS platforms.

IDC's Cloud Pulse, 4Q25: Executive Summary — Cloud Budgets and Spend

Rob Tiffany — Thu, 12 Mar 2026 04:00:00 GMT

This IDC Market Presentation is an executive summary of IDC's 4Q25 Cloud Pulse Survey findings. It covers growing ICT budgets, cloud and AI spending, the strong growth of private clouds, the most important players in cloud strategy, and where organizations overspent.

Magure's Perspective on Platformation of AI Solution Delivery

Melih Murat — Thu, 12 Mar 2026 04:00:00 GMT

This IDC Vendor Profile provides an in-depth look at Magure's go-to-market model, a UAE-headquartered AI company, and analyzes its transition from a technology services provider to an AI platform-based solution delivery company. It further details its services, AI platform capabilities, regional go-to-market approach, and strategic partnerships.

IDC Survey Spotlight: European Managed Service Providers and AI: Are They Leading or Lagging?

Francesca Ciarletta — Wed, 11 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight analyzes the European managed services providers (MSPs) current AI business maturity according to IDC's maturity model framework. The analysis is based on the Europe, Middle East, and Africa (EMEA) Partners survey, which collected responses from 154 partners that identified their business model primarily as that of a managed service provider, conducted in August 2025.

Worldwide Carrier Multi-Access Edge Cloud Software Forecast, 2026–2030

Ajeet Das — Wed, 11 Mar 2026 04:00:00 GMT

This IDC presentation provides the five-year forecast for the carrier multi-access edge cloud software market. In 2026, multi-access edge computing (MEC) has transitioned from an experimental technology to the backbone of the global digital economy. Driven by the "perfect storm" of mature 5G standalone (SA) networks, the explosion of IoT, and the integration of edge AI, the carrier MEC edge software market is expanding at a CAGR of over 21%. By decentralizing data processing — moving it from distant cloud datacenters to the network's edge — MEC enables the sub-20ms latency required for the next generation of real-time applications.

"AI inferencing is now the primary catalyst for multi-access edge computing investment with nearly half of telcos prioritizing edge AI and momentum is surging in private deployments across the industrial and healthcare sectors. While infrastructure costs and energy efficiency remain hurdles, the demand for real-time intelligence is driving the next wave of MEC scaling." — Ajeet Das, research director, Telecom Infrastructure