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Global Data Center GPU Market to Reach US$92.0 Billion by 2030

The global market for Data Center GPU estimated at US$13.9 Billion in the year 2023, is expected to reach US$92.0 Billion by 2030, growing at a CAGR of 31.0% over the analysis period 2023-2030. On-Premise Deployment, one of the segments analyzed in the report, is expected to record a 29.8% CAGR and reach US$53.7 Billion by the end of the analysis period. Growth in the Cloud-based Deployment segment is estimated at 32.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$3.8 Billion While China is Forecast to Grow at 40.9% CAGR

The Data Center GPU market in the U.S. is estimated at US$3.8 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$25.7 Billion by the year 2030 trailing a CAGR of 40.9% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 24.6% and 27.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 25.7% CAGR.

Global Data Center GPU Market - Key Trends and Drivers Summarized

Data center GPUs (Graphics Processing Units) have become a critical component in modern data centers, providing the necessary computational power to handle a wide array of demanding tasks. Unlike traditional CPUs, GPUs are designed to handle parallel processing, making them exceptionally suited for applications that require significant computational resources, such as artificial intelligence (AI), machine learning (ML), big data analytics, and high-performance computing (HPC). These capabilities allow data centers to efficiently manage and process large datasets, perform complex calculations, and support advanced AI algorithms. As a result, GPUs are increasingly being integrated into data center infrastructures to enhance performance and scalability.

One of the key trends in the data center GPU market is the increasing demand for AI and ML applications. As organizations across various sectors adopt AI-driven solutions to gain insights, automate processes, and improve decision-making, the need for powerful GPUs to support these applications is rising. Additionally, the growth of cloud computing has further amplified the demand for data center GPUs. Major cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are offering GPU-accelerated services to meet the needs of their customers. These cloud-based GPU services enable businesses to leverage high-performance computing power without the need for significant capital investment in physical hardware. Moreover, advancements in GPU technology, such as the development of more energy-efficient and powerful GPU architectures, are continually pushing the boundaries of what is possible in data center operations.

The growth in the data center GPU market is driven by several factors, reflecting technological advancements, industry needs, and evolving consumer demands. Firstly, the exponential increase in data generation and the subsequent need for data analysis and processing are primary drivers. Industries such as finance, healthcare, and retail are generating vast amounts of data that require powerful GPUs for real-time processing and analysis. Secondly, the proliferation of AI and ML applications in various sectors is fueling demand for GPUs capable of handling complex algorithms and large-scale computations. Thirdly, the rise of edge computing and the need for decentralized data processing are promoting the deployment of GPUs in data centers to support low-latency and high-throughput applications. Additionally, the gaming and entertainment industries' demand for high-quality graphics and real-time rendering is pushing data centers to integrate advanced GPUs. Lastly, ongoing innovations in GPU technology, including improvements in processing power, energy efficiency, and integration with other data center components, are driving the market forward. These factors collectively ensure the continued growth and evolution of the data center GPU market, enabling a wide range of high-performance applications and services.

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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