AI infrastructure refers to the technological foundation required to support the development and deployment of artificial intelligence (人工智能) applications. It includes the hardware, 软件, and network infrastructure that enables organizations to build, train, deploy, and run AI models. AI infrastructure is critical for enabling organizations to extract value from data through machine learning and AI applications. The ability to process data at scale and gain usful insights through AI can provide significant competitive advantages in various industries like finance, 卫生保健, retail and manufacturing. 根据最新数据, the market size of the global AI infrastructure sector is expected to rise by USD 110.1 亿，复合年增长率为 19.8% 到年底 2029.

该行业报告提供了全球市场的市场预测, 接下来是对组件的详细分析, 部署方式, 最终用户, 和地区. The global market data on AI infrastructure can be segmented by component: 硬件, 软件. The hardware segment is estimated to account for the largest share of the global AI infrastructure market. AI infrastructure market is further segmented by deployment mode: 基于云, 杂交种, 本地. 混合动力部门占据了最大的收入份额 2022. 基于最终用户, the AI infrastructure market is segmented into: 云服务提供商, 企业, 政府, 其他的. 全球范围, the cloud service providers segment made up the largest share of the AI infrastructure market. 根据地区, the AI infrastructure market also can be divided into: 北美, 欧洲, 亚太, 事物 (中东和非洲), 拉美. North America was the largest contributor to the global AI infrastructure market in 2022.

The hardware market is further segmented into processor, 贮存, 记忆. The processor segment held the largest share of the global AI infrastructure market in 2022 预计在预测期内将持有其份额.

The global AI infrastructure market is highly competitive. The AI infrastructure market is dominated by key players, which are Advanced Micro Devices Inc., 亚马逊网络服务公司, Arm Holdings plc, 思科系统公司, 戴尔公司, Google LLC, 惠普Packard企业公司, IBM公司, 英特尔公司, 微米技术公司, 微软公司, 英伟达公司, 三星电子公司. 有限公司, Synopsys Inc., Xilinx Inc.

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