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中国AI+智慧园区技术评估，2025

Hongyu Cheng — Sat, 15 Nov 2025 05:00:00 GMT

本IDC研究围绕中国智慧园区在2025年的技术发展路径展开，系统分析了AI技术如何重构园区“底座-协同-应用”三层架构，并深度适配国家政策要求。报告重点评估了AI Agent、多模态大模型、数字孪生等关键技术在多场景的落地成效，从效率、绿色、安全、数据治理四大维度剖析了核心价值实现机制。同时，通过对主流技术供应商的能力评估，揭示了市场在生态协作、垂直深耕与平台开放等方面的竞争态势。最后，报告展望了智慧园区向自主闭环、绿色低碳与生态协同演进的未来方向，并为技术供应商提供了聚焦闭环能力、开放架构与政策合规的战略建议。

IDC智慧城市高级分析师程鸿宇表示：“中国智慧园区正进入以‘技术自主化’和‘运营闭环化’为标志的新阶段，其发展已由单点技术应用迈向系统级智能协同。未来，能否将AI创新与政策导向、生态共建深度结合，形成可量化、可复制的场景价值，将成为区分市场领导者的关键。技术供应商需超越软硬件供给思维，转向提供融技术、运营与合规于一体的全生命周期服务，方能在这一高速演进的市场中构建持久竞争力。”

中国云边一体化平台技术能力评估，2025

Lee Zhang — Sat, 15 Nov 2025 05:00:00 GMT

本IDC研究主要围绕云边一体化平台的技术能力开展，希望通过对中国市场云边一体化平台技术提供商的技术评估以及对最终用户的客观访谈来帮助市场更加全面地了解国内云边一体化相关技术的发展现状和发展方向。

“云边一体化平台能够根据行业客户需求的多样化，采用不同的算力、存储、网络、安全的产品组合，同时对云基础架构进行适当裁剪，以精简的部署模式满足边缘环境和云边统一管理的技术需求。”——IDC中国负责云基础架构研究的高级研究经理张犁表示。

中国持续数据备份平台（CDP）市场评估，2025

Lee Zhang — Sat, 15 Nov 2025 05:00:00 GMT

本IDC看法针对中国持续数据备份平台市场的发展现状展开了调研，明确了最终用户数据备份的痛点和难点，阐述了市场中各技术服务提供商的服务方案和优势，并对未来中国持续数据备份平台市场发展趋势等内容给出了具体的观点和建议。

“作为目前IT基础架构（传统架构和云平台架构）重要的数据保护机制之一，持续数据备份以其基于云端的交付模式、灵活的备份方式、异构的兼容能力和统一的管理能力，帮助云平台用户高效、可靠地完成企业核心业务数据连续备份。同时，持续数据备份也逐渐成为企业的数据集成平台，能够为大数据平台和AI开发/应用提供可靠的数据源。”——IDC中国负责云基础架构研究的高级研究经理张犁表示。

Besides PLM, Which SaaS-Based Product Development Applications Are Being Prioritized by Manufacturers in Each Region?

John Snow — Fri, 14 Nov 2025 05:00:00 GMT

This IDC Survey Spotlight highlights how manufacturers in NA, EMEA, and APAC are prioritizing SaaS-based product development applications (not including PLM). The research results reflect challenges that product manufacturers face in each region, especially related to key metrics for new product introductions (NPI). Overall, product manufacturers are increasingly deploying SaaS-based engineering applications to improve the development of new products and ensure that they are delivered faster, at lower cost, and with higher quality.

The data in this Survey Spotlight is part of the broader IDC's 2025 Product and Service Innovation Survey, which asked a wide range of questions about challenges, strategies, and opportunities to improve the development of manufactured products.

Enablers to Effective Governance with Managed Cloud Services

David Tapper — Fri, 14 Nov 2025 05:00:00 GMT

This IDC Survey Spotlight highlights results from the following two questions posed to 180 respondents and firms with 500+ employees across multiple countries and industries, as part of IDC's 2024 Worldwide Services Path Survey: "Enablers to effective governance: Please select one of the following that your company/organization believes is critical to achieving effective governance across all your IT and cloud resources when using managed cloud services" and "functions of governance: Please select which of the following your company/organization considers as the most significant capability that will help ensure effective governance when using managed cloud services." This IDC Survey Spotlight then assesses the impact of enterprise requirements for effective governance when utilizing managed cloud services on managed SPs and highlights how managed SPs need to implement a robust governance structure, create a risk management function with particular attention in supporting AI, and ensure meeting agility and resiliency performance metrics.

Industry AI and Cloud Path 2025: Vendor Ratings

Eric Newmark, Frank Della Rosa, Mickey North Rizza, Nadia Ballard — Fri, 14 Nov 2025 05:00:00 GMT

This IDC Market Presentation provides vendor ratings for IaaS providers and key enterprise application vendors with embedded AI, across 20+ industries and subindustries. It also includes data on how buyers prioritize cloud deployment over 370 industry-specific workloads and applications and which generative AI (GenAI) use cases they consider critical or nice to have. The document is based on the worldwide findings from IDC's 2025 Industry AI and Cloud Path (IAICP) Survey.

IDC's Industry AI and Cloud Path 2025 provides deep insight into how each industry is moving to the cloud and adopting generative AI solutions for 30+ industry segments, including healthcare (payers — United States only, providers — United States only, pharma/biotech, and medical devices), manufacturing (aerospace and defense, automotive, industrial products and equipment, high tech, CPG, chemicals, paper mills, metals and materials), wholesale distribution, financial services (banking, insurance, capital markets), retail, energy (oil and gas, utilities), government (federal, defense and intelligence, state and local — select countries only), education (K–12 — United States only, higher education), hospitality and food service (including commercial travel), media and entertainment, telecommunications, and transportation and logistics.

Coverage for cloud and generative and agentic AI includes:

Cloud: Each industry's journey to the cloud, adoption, application migration strategy and timing, drivers and inhibitors, budgeting trends, purchasing preferences, attitudes toward buying channels, vendor ratings and advocacy scores, behavioral trends, and cloud adoption and buying intentions for 370+ industry-specific cloud workloads and applications
Generative and agentic AI: The use, impact, and value creation of AI within each industry, including 360+ generative AI use cases; vendor ratings for select enterprise software vendors with embedded AI in their applications

Innova Solutions: Leveraging AI, Technology, IP, and a Verticalized Approach to Enable Enterprises to Navigate Digital Complexity

Mukesh Dialani, Erin Hichman — Fri, 14 Nov 2025 05:00:00 GMT

This IDC Vendor Profile analyzes Innova Solutions, a global digital transformation partner. This document examines the company's strategy, vision, service offerings, revenue, and infrastructure metrics, as well as future opportunities and challenges. This document is part of a series that will include other global digital product engineering and operational technology service providers. This document is relevant to buyers of digital transformation services, product engineering, modernization, and IT managed services; financial investors; and other stakeholders that play a key role in the evolution and growth of these services.

Managed Cloud Services: Multicloud Operations by Technology

David Tapper — Fri, 14 Nov 2025 05:00:00 GMT

This IDC Survey Spotlight highlights results from the following two questions posed to 1,514 respondents and firms with 1,000+ employees across multiple countries and industries, as part of IDC's 2024 Worldwide Managed Cloud View Survey: "Multicloud operations by technology: Please select the primary technology environment for which your company/organization would consider utilizing a managed service provider (e.g., Accenture, IBM, Atos, TCS, Kyndryl, NTT DATA) to manage as part of a multicloud approach that involves deploying the SAME technology solution/architecture/configuration across two or more public cloud IaaS providers (e.g., AWS, Google, Azure, IBM, Alibaba)" and "reasons for multicloud: Please select the top 2 reasons for which your company/organization would want to use a managed service provider to assist in deploying the SAME process (e.g., DevOps, CI/CD, recovery), management approach (e.g., containers, APIs), technology solutions (e.g., software, hardware), and/or protocols and procedures (e.g., security, compliance) across two or more public cloud IaaS providers (e.g., AWS, Google, Azure, IBM, Alibaba)." This IDC Survey Spotlight then assesses the impact of enterprise requirements when using multicloud operations with managed cloud services on managed SPs and highlights how managed SPs need to emphasize how multicloud can support flexibility, demonstrate that multicloud can deliver services that meet granular requirements, and showcase how multicloud can help achieve critical business objectives.

Managed Cloud View 2025: Enterprise Expectations for Governance and Cloud Management with Managed Cloud Services

David Tapper — Fri, 14 Nov 2025 05:00:00 GMT

This IDC Market Presentation, utilizing worldwide findings from IDC's 2025 Managed Cloud View Survey, provides a detailed analysis of enterprise and organizational needs and requirements of governance and cloud management capabilities as part of using managed cloud services. The survey utilized for this document was deployed worldwide and involved polling 1,503 end users to collect information on adoption of managed cloud services by enterprises and organizations with 1,000+ employees.

This document presents an executive summary that provides key takeaways and messages, top research highlights and findings, a framework of enterprise expectations for governance and cloud management, implications to managed service providers (SPs), and essential guidance for managed SPs. The document then provides in-depth analysis of key managed cloud services topics involving preferred cloud management platforms and reasons for usage, primary means in managing multiple public cloud providers, value of cloud management platforms including analytics, financial management and FinOps, and customer satisfaction and governance.

This IDC Market Presentation provides insight into organizational and enterprise expectations for governance and cloud management capabilities with managed cloud services. It also provides a framework that managed SPs need to implement, which can optimize opportunities in the managed cloud services market that include defining value proposition of cloud management and governance, creating the proper organizational structure, establishing an air traffic control function, utilizing AI extensively, implementing matrix management and multicloud operations, and creating a unified intelligent (AI) multicloud management platform.

IDC Special Report — Agentic AI and Intelligent Infrastructure, Part 1: Insights from Early Users of Agentic AI for Intelligent Infrastructure

Mary Johnston Turner, Phil Goodwin, Shannon Kalvar, Ashish Nadkarni — Thu, 13 Nov 2025 05:00:00 GMT

This IDC Market Presentation is the first of three deliverables making up IDC's Special Report: Agentic AI and Intelligent Infrastructure, 2025. This first document summarizes insights from 16 enterprise IT decision-makers who are directly involved in their organization's evaluation and deployment of agentic AI capabilities as part of their IT infrastructure platforms, architectures, and operating models.

By the end of 2025, these decision-makers expect 57% of their computing and storage resources will be optimized and managed using agentic AI. They report that early projects and pilots are already showing how agentic AI will transform infrastructure in many ways, including:

Operational efficiency: By using agentic AI to enable workload optimization, intelligent provisioning, and real-time anomaly detection, customers are finding they can reduce ticket volumes and manual interventions, driving faster response and resolution — up to 30% in some pilot results.
Cost management and optimization: This includes 10–25% cloud cost savings and 15–20% reductions in energy and cooling spend.
Security and risk mitigation: Threat detection is accelerated by AI; some customers report response times are improving by up to 50%.
Performance, sustainability,and resilience: Improvements in infrastructure performance (25–30%) and utilization (10–25%) are being driven by AI-assisted orchestration and storage optimization.

These qualitative, in-depth customer conversations took place in September 2025. Customer insights point to critical success factors including starting small, ensuring AI agent focus and context, and keeping humans in the loop.

Additional deliverables planned for this IDC special report include an analysis of how a range of infrastructure hardware, software, and cloud vendors are implementing agentic AI capabilities across their product portfolios and an IDC assessment of how agentic AI–powered intelligent infrastructure may potentially disrupt and transform IT infrastructure markets and operating models over the next several years.