rsscloudcomputing

Cloud Marketplace从”云上软件货架”升级为”云生态商业操作层”

Cindy Xin — Mon, 29 Jun 2026 04:00:00 GMT

本报告分析Cloud Marketplace从软件目录向云生态商业操作层的演进，梳理企业买方、ISV和渠道伙伴的核心驱动因素，重点讨论云消费承诺、Private Offer、AI商业化及渠道角色重构，并提出面向企业买家、技术提供商和服务提供商的行动建议。

Cloud Marketplace正在成为连接预算、采购、销售、交付与治理的云生态商业操作层。

“未来的竞争不取决于谁上架的商品更多，而取决于谁能把模型、Agent、数据、工具和行业方案组织成可信、可计费、可交付的企业级服务。”——IDC中国研究总监辛鑫。

IDC MarketScape: Worldwide Private and Hybrid Cloud Management with Automation 2026 Vendor Assessment

Jevin Jensen — Mon, 29 Jun 2026 04:00:00 GMT

This IDC study represents a vendor assessment of the private and hybrid cloud management with automation software market through the IDC MarketScape model.

Enterprises are pushing CloudOps and SRE teams to improve resiliency while rapidly deploying GenAI and agentic AI–ready infrastructure. The private cloud continues to be used for both new and existing workloads.

"A platform approach to private cloud management, monitoring, and automation enables IT teams to more efficiently and effectively support these complex AI environments," says Jevin Jensen, research VP, Infrastructure and Operations, IDC. "Standardizing and consolidating multiple IT automation solutions reduce training and maintenance costs while increasing the adoption of automation, which improves resiliency that the business demands."

Market Forecast：国内ハイパーコンバージドシステム市場予測、2026年～2030年

Yukihisa Hode — Mon, 29 Jun 2026 04:00:00 GMT

本調査レポートでは、国内ハイパーコンバージドシステム市場を対象に、今後5年間の市場規模を予測するとともに、成長要因および阻害要因を分析する。国内ハイパーコンバージドシステム市場は仮想化基盤移行の本格化に伴う更改・移行需要を中心に成長が続く。コンテナ基盤やプライベートAI（Artificial Intelligence）インフラへの需要の本格化が、市場拡大をさらに加速させる要因となる。

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「国内ハイパーコンバージドシステム市場は、仮想化基盤移行の本格化を背景に市場構造の転換期を迎えている。移行先プラットフォームの選択が規模・用途別に明確化する中、コンテナ基盤やプライベートAIインフラとしての新たな需要が市場の次なる成長を促進する要因となる」と分析している。

AI Inference Infrastructure Optimization Demands Token Economics–Driven Decision-Making

Fri, 26 Jun 2026 04:00:00 GMT

This IDC Perspective shares an overview of how, as enterprises scale AI from experimentation to production, the explosive growth of inference workloads and agentic AI pipelines is making token cost management a board-level financial priority. Token economics (aka “Tokenomics”), the discipline of measuring, governing, and optimizing the full cost of AI token production and consumption, is emerging as the essential framework for every AI infrastructure, architectural, and purchasing decision.

IDC recommends that technology buyers build a full-stack token cost model capturing all infrastructure layers, including compute, storage, networking, power, cooling, and datacenter facilities, when comparing on-premises/dedicated versus cloud-based AI infrastructure options. “Enterprises need to reframe AI infrastructure decisions around token economics to accurately represent the true cost and benefits of AI infrastructure investments at scale,” explains Mary Johnston Turner, IDC research vice president, AI Infrastructure Strategies.

Databricks' Data + AI Summit 2026: Expanding into the Application Platform Market

Matthew Flug — Fri, 26 Jun 2026 04:00:00 GMT

At its annual Data + AI Summit, Databricks advanced a strategy to extend from the company's data management foundation into the application platform and agent development, deployment, and governance layers, anchored by Databricks Apps, Unity Catalog, Unity AI Gateway, Agent Bricks, and the unification of transactional and analytical data through Lake Transactional/Analytical Processing (LTAP). The announcements position the company to compete for agentic application workloads on the strength of governed access to enterprise data as it continues to mature its offerings relative to established application platform providers.

IDC Market Glance: Digital Twins in Regional and Local Government, 2Q26

Alison Brooks, Ph.D., Ruthbea Yesner — Fri, 26 Jun 2026 04:00:00 GMT

Digital twins are crossing into mainstream use in regional and local government. Globally, 42% of state and local government organizations report using digital twins today; another 25% are planning additional investment, and more than one-fifth plan to start within the next 12 to 18 months. This IDC Market Glance maps the vendor landscape across five segments: place-based digital twin platforms, industry-specific twins (covering critical infrastructure and utilities, public safety and emergency response, transportation and mobility, and environmental and climate monitoring), physical world data acquisition, digital twin enabling technologies, and building and facility twin platforms.

Three forces are reshaping this market. First, the cost and complexity of implementation have dropped materially: lower sensor costs, edge processing, and AI-native APIs have made real-time physical system modeling accessible to governments that could not have justified the investment five years ago. Second, partnerships among geospatial leaders, systems integrators, and hyperscalers are becoming the dominant delivery model, because no single vendor can cover the full stack from data acquisition through simulation and action. Closed, monolithic vendors risk being designed out of major government programs as a result. Third, the definition of what a twin can represent is broadening: governments are deploying policy twins, mission twins, and ocean environment twins alongside city-scale infrastructure models, and each new application type creates demand for new categories of vendor capability.

For government buyers, the decision-making calculus starts with mission outcome, rather than platform considerations. Investments anchored to a specific operational problem and funded to sustain the live data pipelines that keep the twin current are delivering lasting value. A model without a continuously updated sensor, camera, and operational system feeds reverts to a static visualization. For vendors, the market's direction toward open APIs and AI-native interoperability by default is now considered table stakes; requests for proposal (RFPs) are already reflecting this expectation. Policy and mission twins are on track to become the default decision-support layer for major public programs in the near term, making the current window a critical one for establishing platform and partnership position.

IDC Survey: AI on Cloud Infrastructure Adoption Trends in META, 2026 — Compute, Storage, Networking, and Silicon Choices

Jebin George — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Survey examines how organizations across the Middle East, Türkiye, and Africa (META) are building and running AI in the public cloud. Based on IDC’s Cloud Pulse Survey, 1Q26, of 320 decision-makers in Saudi Arabia, the UAE, Türkiye, and South Africa, this report maps the AI infrastructure behind production AI and GenAI workloads across cloud AI spend, GPU and accelerator usage, compute platforms (VMs, containers, bare metal, serverless), storage, and networking for training and inference. It reveals where META differs: AMD’s Instinct MI300X leads as the most-used accelerator, AWS and Microsoft Azure co-lead, and silicon choices vary sharply by country. An essential read for cloud service providers, infrastructure vendors, and enterprise IT leaders, refer to the full report to benchmark your cloud AI strategy.

Market Share: Worldwide Public Cloud Platform as a Service Shares, 2025 — The Rise of Agentic AI

Adam Reeves — Fri, 26 Jun 2026 04:00:00 GMT

This IDC presentation reports on market share for the worldwide public cloud PaaS market. It includes reporting on the prior year, in addition to 2025, to provide context for how the market has evolved. It also provides an analysis of the market players and associated secondary markets.

"The top 3 vendors in the market for public cloud PaaS in 2025 were, in order, Microsoft, AWS, and Google Cloud, accounting for greater than 40.0% of the overall PaaS market. The AI-driven market shake-up taking place is demonstrated by OpenAI's continued ascent to now become the fourth-ranked vendor in the market with nearly 6.0% market share." — Adam Reeves, research director, Platform as a Service (PaaS) for Developers of Modern and Edge Applications

Mplify's EMEA-hosted Global NaaS Event, 2026: Charting the Path to NaaS for AI

James Eibisch — Fri, 26 Jun 2026 04:00:00 GMT

At its recent EMEA Global NaaS Events (GNE) conference held in Lisbon, Portugal, June 10–11, 2026, Mplify Alliance (formerly MEF) laid out how it is thinking about the role of network-as-a-service (NaaS) in an AI-dominated enterprise landscape, how NaaS can be federated across service providers, and how agentic AI can automate network life-cycle services orchestration (LSO) and operations.

These timely topics come as AI is stacking up demands on networks, starting from a small base but growing exponentially. Enterprise network leaders know that change is coming, but they are unsure what shape it will take or how it will affect their networks. Service providers are in a similar position: Despite being at the heart of the industry, the future is ultimately just as opaque to them, too. Mplify's current activities provide a needed foundation that should help the industry navigate that uncertain future.

Worldwide Converged and Hyperconverged Systems Market Overview, 4Q25

Rajiv Ranjan — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Market Presentation provides a quarterly (4Q25) and full-year (2025) update on the performance of the overall converged systems market and its three subsegments: hyperconverged systems, integrated platforms, and certified reference systems and integrated infrastructure. It also provides an overview of the market's performance over the past five quarters, broken down by subsegment, vendor, and region.