rssbigdata

IDC's Worldwide Emerging Systems Infrastructure Technologies Taxonomy, 2025

Jim Hines — Wed, 08 Oct 2025 04:00:00 GMT

This IDC study categorizes the market for the most relevant emerging technologies in infrastructure systems by deployment location, system type, and subsystem, including semiconductor devices. As with all taxonomy documents, this taxonomy will be continually revised and edited to ensure its applicability to market offerings.

"This initial IDC's Emerging Systems Infrastructure Technologies taxonomy provides the definitions and segmentations used by IDC analysts to track the technologies that will have the greatest impact on the rapidly evolving datacenter landscape," said Jim Hines, research director, Enabling Technologies and Semiconductors at IDC. "The document serves as a guideline for users to better understand IDC's Emerging Systems Infrastructure Technologies research and provides a framework and set of definitions for tracking this market."

AI时代下数据治理演进趋势及厂商推荐

Leo Li — Tue, 30 Sep 2025 04:00:00 GMT

本IDC看法分析了当前AI发展和多模态数据管理需求下主要市场和产品发展趋势，列出了面向AI的数据治理技术要点，介绍了代表厂商，并为技术买家提供了建议。

IDC中国人工智能和大数据领域高级分析师李浩然表示：“GenAI时代下企业对数据治理的要求更高，技术供应商也需要更快速地变更并更新数据治理规范以及业务规范，以快速应对AI训推需求，明确AI治理与数据治理的一致性，并发布新一代框架和生态合作计划。”

Fueling the AI Future: Data, Deployment, and Tangible Outcomes

Deepika Giri, Surjyadeb Goswami, Swapnil Shende — Tue, 30 Sep 2025 04:00:00 GMT

This IDC Tech Buyer Presentation highlights how Asia/Pacific enterprises are pivoting from AI experimentation to enterprisewide adoption, yet scaling remains a challenge as most proofs of concept (POCs) never reach production, and even fewer deliver consistent success. High costs, poor data quality, unclear ROI, and skill gaps continue to stall progress. To fuel AI's future, organizations must double down on seven imperatives: AI-driven strategies, unified AI platforms, AI agents and applications, AI-ready infrastructure, trusted data foundations, unified governance, and a future-ready workforce. The report assesses enterprise readiness across these domains, providing strategic guidance for IT leaders, technology buyers, and SPs to transform experimentation into tangible, scalable business outcomes. "Enterprises that align strategy, platforms, data, and governance to fuel AI will transform experiments into outcomes, unlocking scale, resilience, and measurable business value in a digital-first economy," says Surjyadeb Goswami, research director, IDC Asia/Pacific.

"Asia/Pacific enterprises must shift from fragmented AI experiments to enterprisewide adoption. With most POCs failing because of unclear ROI, poor data, limited skills, and infrastructure gaps, success now depends on building AI-ready strategies, platforms, data foundations, infrastructure, governance, and workforce. Addressing these holistically will unlock sustainable business value," says Deepika Giri, associate VP, IDC Asia/Pacific.

Industry Buyers Handbook: Americas Utilities, 2025

John Villali, Heriberto Roman, Nigel Wallis — Tue, 30 Sep 2025 04:00:00 GMT

This IDC Industry Buyers Handbook aims to help technology vendors understand the areas of technology investments of the Americas (AMR) utilities industry. Vendors can use this handbook to:

Align the company's proposition to the buyer's tech priorities as they relate to domain processes
Position the technology offering and innovation capabilities to respond to the buyer's business transformation objectives
Develop a compelling narrative that resonates with the buyer's requirements

Technology vendor executives in areas including marketing, sales, and product strategy can leverage the insight from this handbook to inform and formulate their approach with buyers within the utilities sector. The insights provided in this handbook are largely based on IDC survey data but also leverage senior IDC analysts' knowledge, IDC research, and ongoing conversations with key industry players.

"As utilities in the Americas embrace digital strategies to enhance grid reliability, customer engagement, and operational efficiencies, technologies like AI, IoT, and cloud computing are becoming essential. Tech suppliers play a critical role by offering scalable, secure, and interoperable solutions that accelerate innovation and help utilities meet the demands of a rapidly evolving energy and technology landscape in the Americas," says John Villali, senior research director, IDC Energy Insights.

Industry Buyers Handbook: Asia/Pacific Healthcare, 2025

Manoj Vallikkat, Heriberto Roman, Nigel Wallis — Tue, 30 Sep 2025 04:00:00 GMT

This IDC Industry Buyers Handbook aims to help technology vendors understand the areas of technology investments of the worldwide (WW) healthcare industry. Vendors can use this Industry Buyers Handbook to:

Align the company's proposition to the buyer's tech priorities as they relate to domain processes
Position the technology offering and innovation capabilities to respond to the buyer's business transformation objectives
Develop a compelling narrative that resonates with the buyer's requirements

Technology vendor executives in areas, including marketing, sales, and product strategy, can leverage insights from this Industry Buyers Handbook to inform and formulate their approach with buyers within the healthcare sector. The insights provided in this Industry Buyers Handbook not only are largely based on IDC survey data but also leverage senior IDC analysts' knowledge, IDC research, and ongoing conversations with key industry players.

"Anchored on the need to enhance both workforce and workflow efficiency, Asia/Pacific healthcare providers are prioritizing investments in new care delivery models that emphasize patient centricity and convenient access to care. A parallel focus is on improving workforce experience to address clinician burnout — a critical challenge across the region. At the same time, spending on cybersecurity and GenAI has become largely immune to budget constraints, reflecting their central role in enabling resilient and future-ready care models. This document provides a deep dive into each of these priorities, offering technology vendor executives across marketing, sales, and product strategy actionable insights to align more effectively with care providers," said Manoj Vallikkat, IDC Health Insights.

中国数智化50+供应商推荐——2025版

Lianfeng Wu — Tue, 30 Sep 2025 04:00:00 GMT

本IDC研究基于IDC过去十年“未来企业大奖”的获奖数据，深度剖析了中国企业数智化转型的成功路径与卓越供应商。随着生成式AI浪潮来临，数智化已从“可选项”演变为企业的“必答题”。然而，多数中国企业AI成熟度仍处于转折阶段，在实现预期价值时面临挑战。企业必须从机会主义的技术应用，转向以业务价值为核心的系统性转型。企业欲在数智化转型中真正实现价值，必须优先关注三大关键成功要素：

始于业务而非技术，确保转型由清晰的商业目标驱动。
构建统一数字平台，从根本上打通数据与流程孤岛。
精选懂行业的伙伴，借鉴其深厚的实践经验加速落地。

此报告详细分析了52家领先数智化供应商，每家供应商的信息包括：公司简介与数智化转型价值主张、公司目标客户与提供的产品服务、公司的核心优势与未来发展方向、2016—2025 IDC未来企业大奖获奖项目名单和总结。基于这些分析，报告深入阐述了企业应如何选择具备“Data+AI”全栈能力、深厚行业知识（Know-How）和开放生态的战略伙伴。报告强调，AI已成为所有转型的核心引擎，企业选择能够提供普惠AI方案、并保障安全可控的供应商，将是赢得未来十年竞争的关键。

面向AI的数据供给和多模态统一管理

Leo Li — Tue, 30 Sep 2025 04:00:00 GMT

本IDC看法分析了当前数据管理和服务市场情况，以及数据源供给方、数据库厂商、数仓厂商、数据湖与数据中台厂商市场发展趋势，介绍了代表厂商，并为技术买家提供了建议。

IDC中国人工智能和大数据领域高级市场分析师李浩然表示："企业对多模态数据的管理需求明显增加，但也带来了更多的技术与价值实现难点，例如Data Agent流程开发、多模态对决策的赋能价值，技术供应商需要尽快统一计算引擎，并为AI训推搭建持续数据供给管道。"

中国临床决策支持系统市场份额，2024：大模型引领产品升级

Erin Lin — Fri, 26 Sep 2025 04:00:00 GMT

本IDC研究报告列出了中国临床决策支持系统市场主要厂商的市场份额，分析了临床决策支持系统市场的发展趋势和竞争态势，并对领先厂商在2024年的市场表现进行了分析评价。本报告可供医院在选择临床决策支持系统供应商时参考。

CDSS对临床诊疗、医院管理等方面的提升都具有较高的潜在价值，当前市场对系统价值的认知在逐步提升，系统的发展将迎来更广阔的市场。未来，等级医疗机构市场的需求更为成熟，其未来的增长机会仍然保持较好的态势，但对于产品的技术应用、功能设计、应用场景等方面提出了更高的要求，且基层医疗机构的需求对于厂商的考验也在不断升级。短期内，目前两个市场相对分割，从两个市场的竞争格局来看，头部厂商的优势较为明显。长期来看，两个厂商的界限将逐步模糊，市场竞争分割走向融合，厂商不仅要满足评级的需求，更需要为医院的高阶需求做充足准备。

IDC ProductScape: Worldwide Business Intelligence and Analytics Platforms, 2025

Megha Kumar — Mon, 22 Sep 2025 04:00:00 GMT

This IDC ProductScape offers a comprehensive guide on the key functionalities of business intelligence and analytics, featuring products from Alteryx, Amazon Web Services (AWS), Google, IBM, insightsoftware, Microsoft, OpenText, Oracle, Qlik, SAS, SAP, Salesforce (Tableau), Strategy, and Zoho. The status of each functionality is categorized as fully supported, partially supported, partner provided, road map, or not supported, aiding technology purchasers in quickly identifying which vendors align with their changing requirements.

Beyond GenAI Model Training: Reducing Cost and Latency and Improving Scalability of AI Inferencing Workloads in Production

Kathy Lange, Tim Law, Neil Ward-Dutton — Fri, 19 Sep 2025 04:00:00 GMT

The IDC Perspective explores the challenges and innovations in scaling generative AI (GenAI) inference workloads in production, emphasizing cost reduction, latency improvement, and scalability. It highlights techniques like model compression, batching, caching, and parallelization to optimize inference performance. Vendors such as AWS, DeepSeek, Google, IBM, Microsoft, NVIDIA, Red Hat, Snowflake, and WRITER are driving advancements to enhance GenAI inference efficiency and sustainability. The document advises organizations to align inference strategies with use cases, regularly review costs, and partner with experts to ensure reliable, scalable AI deployment.

"Optimizing AI inference isn't just about speed," says Kathy Lange, research director, AI Software, IDC. "It's about engineering the trade-offs between cost, scalability, and sustainability to unlock the potential of generative AI in production, where innovation meets business impact."