... Access Insights Already a Gartner client? In 4Q25, the data center hardware integrated systems market revenue saw modest growth as enterprises prioritized buying AI-optimized servers. For providers, the biggest opportunity lies in providing AI-ready integrated systems. Overview Methodologies and Definitions ...
Analyst(s): Suzie Low | Uko Tian | Adrian O'Connell | Amit Goyal | Andrew H Kim
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... This report provides a schedule of Gartner’s regularly updated forecast and market share data publications. Clients can browse this report to see documents by publication month, geographical coverage, methodology guides, and a list of upcoming changes to market coverage. When to Use Gartner Recommended ...
... Real-time edge data processing is limited by compute, storage, and network constraints, which result in resource contention and latency spikes. Infrastructure architects must design solutions that use rightsized compute, tiered storage, optimized networking, and enforce strict security to meet operational ...
Analyst(s): Andy Lee | Mohini Dukes | Sumit Rajput
... Gartner client? This document details the methodologies, segmentation taxonomy, definitions and research metrics used in Gartner’s regularly published data center hardware and integrated systems market share and forecast statistics reports. What You Need to Know Introduction Notable Changes Market Methodology ...
... Organizations exploring agentic analytics capabilities continue to struggle to curate high-quality, agentic analytics-ready document data. Data scientists should use the guidance in this research to adopt a systematic approach for semantic context processing for agentic analytics. Overview Strategic ...
... Master Data Management Adopt a master data management (MDM) architecture most suited to fulfill current and future goals. Experts: Sally Parker, Simon Walker Trusted MDM is required in order to become a data-driven organization. For data and analytics leaders and their peers exploring master data management ...
... organization’s AI ambition or risk failure. This Leadership Vision will help CDAOs communicate top priorities for building AI-ready foundations with data and analytics capabilities, securing investment funding and delivering measurable business value. Overview Recommended Actions Gartner Recommended Reading ...
Analyst(s): Lydia Ferguson | Ehtisham Zaidi | Soyeb Barot | Rita Sallam | Roxane Edjlali | Sumit Agarwal | Alan D. Duncan | Afraz Jaffri | Sally Parker
... Data and analytics leaders should spend less time on identifying technologies and analyzing the competitive landscape. Instead, they should spend more time on defining business outcomes, requirement validation, contract negotiation, onboarding, and performance management. Start by looking at how peers ...
... Access Insights Already a Gartner client? As PPM leaders adopt and scale agentic AI, data readiness has become a crucial roadblock for adoption. Use these techniques to develop high-quality data that can enable effective and efficient AI agents. Insights at a Glance Strategic Planning Assumptions Impact ...