Artificial Intelligence and Automation Team

Ashish Nadkarni

Group Vice President and General Manager, Worldwide Infrastructure Research

Andrew Gens

Research Analyst, AI Software

Nina Turner

Research Director, Semiconductor Technology Supply Chain Intelligence; Enabling Technologies: AI and Automotive Semiconductors

Madhumitha Sathish

Research Manager, High Performance Computing

Heather West, PhD

Research Manager, Performance Intensive Computing, Worldwide Infrastructure Research

Ritu Jyoti

Group Vice President/General Manager, Worldwide Artificial Intelligence, Automation, Data and Analytics Research Practice

David Schubmehl

Research Vice President, Conversational Artificial Intelligence and Intelligent Knowledge Discovery

Hayley Sutherland

Research Manager, Conversational AI & Intelligent Knowledge Discovery

Maureen Fleming

Program VP, Worldwide Intelligent Process Automation Market Research and Advisory Service

Shari Lava

Senior Director, AI and Automation

Dr. Chris Marshall

Vice President, Data, Analytics, AI, Sustainability, and Industry Research

Jennifer Hamel

Senior Research Director, Enterprise Intelligence Services

Neil Ward-Dutton

VP Automation, AI & Analytics Europe

Jennifer Cooke

Senior Research Director, Cloud and Edge Services, Worldwide Infrastructure Research

Pietro Delai

Research Director, Latin America Enterprise Infrastructure and Cloud Services, Worldwide Infrastructure Research

Harish Dunakhe

Research Director, Software and Cloud, META IDC

Peter Rutten

Research Vice-President, Performance Intensive Computing, Worldwide Infrastructure Research

Yanxia Lu

Research Director

Nobuko Iisaka

Research Manager, Software & Services, Research, IDC Japan

Anne Cheng

Research Manager

Rakesh Patni

Associate Research Director

New Research


  • By:  Jennifer Cooke Loading

    The combination of Equinix locations and connectivity with AWS platforms solves the most challenging aspect of extending IT service to edge locations — the cost and complexity of moving data between platforms. Organizations can accelerate t...
  • By: 

    • Jennifer Cooke Loading
    • Dave McCarthy Loading
    This IDC Market Analysis Perspective provides an overview of IDC's Edge Trends and Strategies research, including insights into market drivers, competitive outlook, technology requirements, and IDC's forecasts for edge solutions.
  • By:  Yanxia Lu Loading

    2023年中国大模型平台及相关应用市场规模达17.65亿元人民币。在过去的一年中,行业对于大模型更多的是早期投入,甚至观望而不重投入,因此2023年整体市场规模并不显著,也主要由早期投入者如百度、商汤、智谱、百川等公司构成。进入2024年,头部互联网公司加大对大模型的投入且发起价格战,为早期的大模型初创企业带来一定的竞争压力。预计未来2—3年,市场格局仍将发生多轮巨变。IDC中国研究总监卢言霞表示:“未来2—3年,大模型市场从基座模型到开发工具到上层应用的产业格局仍将发生多轮...
  • By: 

    • Ritu Jyoti Loading
    • Nancy Gohring Loading
    • Raghunandhan Kuppuswamy Loading
    This IDC Market Analysis Perspective offers an overview of AI and generative AI (GenAI) trends, with a focus on the market shares of the AI platforms and generative AI software services market segments.
  • By:  Ritu Jyoti Loading

    This IDC Tech Buyer Presentation provides information on what AI agents and agentic workflows are, the evolution of AI assistants to AI agents, example real-world AI agents, and innovative technology offerings and use cases. It also include...
  • By:  Anne Cheng Loading

    本IDC研究通过IDC MarketScape厂商评估模型对中国AI数字人技术供应商进行了评估。IDC将AI数字人定义为:采用人工智能技术驱动生成的数字化的虚拟人物——具备人的外观,感知互动能力以及表达能力。IDC在本研究中主要聚焦端到端的数字人生产厂商。数字人技术体系构成较为广泛,包括建模、多模态AI、数字化内容、动作捕捉等等。按照应用范畴,AI数字人可以大致分为泛娱乐数字人以及企业级服务数字人。泛娱乐数字人即用于音乐、美术等艺术创作的数字人,用于影视节目或者游戏的二次元、...
  • By:  Nobuko Iisaka Loading

    本調査レポートは、デジタルファーストの時代を生き抜くために必要な企業のFuture Enterprise(未来の企業)化の状況に関して、IDCが実施したユーザー調査「Future Enterprise Resiliency & Spending 24 Survey wave 4」の結果の一部を、国内と世界の比較を中心にまとめたものである。本調査レポートでは、国内企業のGenerative AI(生成系AI:以下、GenAI)のモデルステージ別のコンピューター資源の利用...
  • By:  Yanxia Lu Loading

    本IDC研究对2023年中国人工智能软件市场的厂商份额进行了分析。受大模型与生成式AI的鼓舞,中国人工智能市场规模2023年整体增长26.2%。整体市场的增长仍然是由云厂商以及传统大厂的增长在驱动。展望未来5年,市场有望迎来新一轮增长:大模型、生成式AI驱动的下一代人工智能市场。IDC中国研究总监卢言霞表示:“大模型、生成式AI形成可观的市场规模仍需要时间,而当前有很多需求不一定必须要靠大模型解决。技术提供商与行业用户均应该考虑如何选择合适的AI技术,升级过去简单的AI应用场...
  • By:  Yanxia Lu Loading

    越来越多的企业正在积极建设湖仓一体。组织将数据仓库和数据湖合并为一个洞察系统,其优势在于提高响应能力、节约成本和获得更丰富的洞察。这既是为数据治理提供良好的基础环境,也可以助力组织更好地实施AI、机器学习与生成式AI。本报告追踪的主要是数据湖相关市场,也包括湖内建仓的场景。IDC中国研究总监卢言霞表示:“生成式AI驱动大数据平台市场焕发新的生机。大模型需要更多全新的以前未采集未存储过的数据来进行更多训练,大模型推理也会产生全新的内容与数据。大数据平台产品应该加快与AI以及生成...
  • By: 

    • Ritu Jyoti Loading
    • David Schubmehl Loading
    Microsoft closed out its year with increased growth and profitability in its fourth quarter 2024 earnings announcement, with revenue of $64.7 billion, increasing 15% and income of $27.9 billion, also up 15%. Cloud and AI-related revenue con...

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