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    AI Infrast
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2024-11-28 AI Infrastructure Market by Offerings (Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Storage, Software), Function (Training, Inference), Deployment (On-Premises, Cloud, Hybrid) - Global Forecast to 2030
Converging&Hi-Tech/AI
MarketsandMarkets

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< Key Hightlight >

The AI Infrastructure market is expected to be worth USD 135.81 billion in 2024 and is estimated to reach USD 394.46 billion by 2030, growing at a CAGR of 19.4% between 2024 and 2030. The AI infrastructure market is being driven by the rapid growth in data generation due to digital transformation, IoT, social media, and e-commerce, which requires advanced computing and storage to manage vast datasets for AI and machine learning models. Additionally, the increasing need for cloud-based AI infrastructure in data centers is reshaping how companies manage complex AI workloads, with major cloud providers investing heavily in AI-ready infrastructure to meet growing global and industry-specific demands. These factors collectively serve as key drivers propelling the growth of the AI infrastructure market.

Analysis of key drivers (Rising demand for high-performance computing in AI workloads, government initiatives and investments in AI research and development, and growing implementation of AI and ML solutions across enterprises) influencing the growth of the AI infrastructure market. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI infrastructure market. Market Development: Comprehensive information about lucrative markets - the report analysis the AI infrastructure market across varied regions Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI infrastructure market Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), Micron Technology, Inc. (US) among others in the AI infrastructure market.

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