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Dell Technologies World 2026: AI Focus Dominates Dell's Storage Road Map

Natalya Yezhkova, Carol Sliwa, Ashish Nadkarni — Tue, 26 May 2026 04:00:00 GMT

At Dell Technologies World (DTW) 2026, the company made a series of announcements spanning primary storage, object storage, cyber-resiliency, and data management for AI workloads, reflecting a broader industry shift toward treating storage as a foundational layer in an AI infrastructure stack. Core announcements included Dell PowerStore Elite, an upgrade to its all-flash storage system; enhancements to the Dell AI Data Platform, including new orchestration and search capabilities; a new high-density ObjectScale X7700 storage appliance; and the completion of the Exascale Storage portfolio with the forthcoming addition of PowerFlex block storage.

HPE Meets SAP Sapphire's "Autonomous Enterprise" with a New Compute Scale-Up Server

Max Pepper — Fri, 22 May 2026 04:00:00 GMT

Hewlett Packard Enterprise (HPE), which IDC identified as a Leader in IDC MarketScape: Worldwide SAP HANA–Certified Server Appliances 2026 Vendor Assessment (IDC #US52979525, February 2026), has released the Compute Scale-up Server 3250, raising the bar for SAP HANA–certified appliances, just as SAP's "Autonomous Enterprise" pivot drives demand for infrastructure that can handle compute- and memory-intensive workloads such as text/media analytics, business intelligence/data analytics, and unstructured databases alongside core ERM. The 3250's memory density, low-latency node controller, and fault-tolerant uptime position HPE to capture intensifying demand from RISE customers activating Joule Assistants and modernizing their SAP environments at scale, although a backdrop of growing SAP-driven hyperscaler competition and rising component costs will test the 3250's market demand.

中国央国企写作智能体实测分析，2026

Janice Jin — Fri, 22 May 2026 04:00:00 GMT

本报告聚焦央国企写作智能体，系统梳理了当前央国企智能体市场发展现状、智能化转型核心关注点以及智能体未来发展趋势，围绕写作智能体开展专项技术评估与厂商评测，全面呈现写作智能体厂商技术能力，为市场提供参考依据。

IDC Market Glance: 中国AI基础设施生态系统，2Q26

Richard Xin, Sawyet Suo, William Zhang — Thu, 21 May 2026 04:00:00 GMT

本IDC市场概览旨在直观地描绘IDC 2026年中国企业级数字化基础设施建设供应链厂商分类的简明现状。该市场包含系统基础软件、网络设备、服务器、存储、企业级零部件等。

业务主管、产品经理和市场洞察或分析师相关专业人员可以使用这些信息来了解整个市场或生态系统的结构，评估市场、业务和合作机会，并帮助确定他们的组织在竞争格局中的位置。

IDC市场概览内容在发布之日是最新的。本演示文稿中包含的代表性内容反映了定期更新的定性快照。公司Logo仅用于说明，并不反映市场的全貌。

金融和零售行业中Data Agent最佳实践

Leo Li — Thu, 21 May 2026 04:00:00 GMT

从供需关系来讲，技术厂商的投入热度已超过客户实际需求。2025年数据厂商为促进Data+AI落地，除了宣传AI-Native数据基础设施概念，同时也将更多研发投入与产品创新聚焦于Data AI Agent上，即利用GenAI的对话式能力，简化传统数据管理、数据开发、数据分析和数据可视化操作，因此我们也看到了在Text2SQL后的多种变型，引入语义、Code、图、本体等概念，来实现数据的更精准分析。但从企业需求来看，多处仍处在基础设施建设以及数据治理过程中，对于新兴技术的效果以及落地方式还缺少完整认知，在2026年仍需要企业和市场进一步的宣传培育。

报告分析了当前Data Agent在金融和零售市场的发展情况以及面临的挑战，并基于IDC调研数据给出相关发展建议和战略方向，同时给出行业最佳实践以供市场参考。

IDC分析师李浩然表示："Data Agent在2026年将迎来快速发展，金融和零售作为数字化转型程度最高、数据治理体系更完善且对数据敏感度更高的行业，在Data+AI方面落地进展更快，但企业付费形式仍以按解决方案、订阅制为主，尚未形成Token、按结果付费的意识，预计到2026年底智能体部署数量将翻三倍，届时智能体管理需求也将同步增长。"

IDC PeerScape: 数据要素服务最佳实践案例，2026

Leo Li — Mon, 18 May 2026 04:00:00 GMT

本IDC PeerScape报告分析了当前数据要素市场的发展情况以及面临的挑战，并基于IDC调研数据给出相关发展建议和战略方向，同时给出行业最佳实践以供市场参考。

IDC数据分析与数据智能体领域高级研究分析师李浩然表示："数据要素概念的提出和发展已有两年时间，在此过程中其内含和外延在不断调整变化，且受到AI影响极大。在数据要素整体概念下，一部分厂商专注于政府、数据集团、机构的可信数据空间建设，实现数据流通共享；另一部分厂商以高质量数据集为产品特色，提供数据底座建设、数据治理服务来为企业内部AI训推提供支持。从市场空间来看，当前整体市场依然会保持30%以上的增速。"

Industry Market Forecast: APAC Utilities, 2026

Gaia Gallotti, Jean-François Segalotto, Claudia Medina — Fri, 15 May 2026 04:00:00 GMT

This IDC Market Presentation is our Industry Market Forecast for digital transformation (DX) spending by utilities in APAC. It provides technology suppliers with an overview of regional utilities' spending on DX and insights into the market context influencing that spend for 2026. It helps technology suppliers understand regional utilities' DX spending in the context of total DX spend. It also highlights how utilities are investing across industry-specific DX use cases in the region.

By looking at the size of the regional market and the largest use case by spend, tech supplier executives can better evaluate:

Investment areas in product or service development
Sales and marketing campaign prioritization
Market penetration

Used in combination with the other IDC Industry Intelligence reports, this document can help tech providers gain a competitive advantage with utilities in APAC.

"Drones and robotics inspection is the standout use case in APAC utilities in 2026, driven by PRC, India, and Japan, and growing at nearly 18% annually through 2029. The scale of the opportunity reflects something unique to this region: transmission and distribution networks that span some of the world's most challenging geographies, from remote Pacific islands to Himalayan corridors to hyper-dense urban grids, where manual inspection is simply not a viable operating model. As AI-powered analytics platforms mature and regulatory frameworks around unmanned systems catch up with technology readiness, drone and robotic inspection is poised to become as foundational to APAC utility operations as smart metering was a decade ago," said Jean-François Segalotto, senior associate advisor, IDC Energy Insights.

IDC Market Glance: 中国Data Agent市场图谱，1Q26

Leo Li — Thu, 14 May 2026 04:00:00 GMT

报告梳理了中国Data Agent市场情况并收录代表企业，制作市场图谱以供市场参考。

HPE's New Compute Scale-Up Server 3250 Offers Scalability, Performance, Resilience, and Security Benefits for Mission-Critical Workloads

Chris Drake — Wed, 13 May 2026 04:00:00 GMT

IDC classifies Hewlett Packard Enterprise's (HPE's) new Compute Scale-up Server 3250 as an Availability Level 4 (AL4) server, with its ability to offer the highest level of server availability for mission-critical and business-critical workloads. The new 3250 represents a considerable step-up from its predecessor, the 3200, with improvements across the processor architecture, memory capacity and throughput, I/O, scalability, security, and reliability.

The Data Scientist in the AI Era: Opportunity Knocks

Stanley B. Gibson — Mon, 11 May 2026 04:00:00 GMT

This IDC Perspective looks at the role of data scientist in the AI era. A decade and more ago, the emergence of big data shined a spotlight on data scientists whose expertise in understanding statistics and probability was critical in extracting predictive analytics insights. Much has changed since then. AI is now center stage, while big data insights have become more readily accessible thanks to the emergence of data lakehouses. Contrary to predictions of the demise of the data scientists, there are plenty of data scientists currently hard at work and data science jobs are growing faster than other jobs across the economy. Data scientists who embrace AI will fuel this growth. Their understanding of data, and their statistical and probability skills, are vital to the creation and evaluation of AI models.

"Data scientists not only remain relevant but are extremely important in the age of AI. Their knowledge of statistics and probability makes them indispensable. And data scientists are uniquely qualified to fill the role of HITL, diligently applying their knowledge to ensure that AI realizes its often astonishing potential," says Stanley B. Gibson, adjunct research advisor for IDC's Executive Programs (IEP).