Ray tracing, a rendering technique that simulates the behavior of light to create realistic graphics, has gained prominence in the gaming and entertainment industries. GPUs with dedicated ray-tracing cores deliver unparalleled realism in real-time graphics, driving advancements in visual fidelity. Containerization technologies, exemplified by platforms like Kubernetes, are extending their support to GPU orchestration. This trend facilitates the deployment and management of GPU-accelerated workloads at scale, streamlining the integration of GPUs into containerized applications.
In addition, security concerns are driving the incorporation of enhanced security features in GPU architectures. Features like hardware-based isolation and secure enclaves aim to fortify the integrity of GPU-accelerated applications, especially in sensitive domains such as finance and healthcare. Efforts are underway to democratize access to GPU resources, making high-performance computing more accessible. Initiatives such as GPU-as-a-Service (GaaS) and cloud-based GPU instances enable organizations and researchers to harness GPU capabilities without significant upfront investments.
The United States is home to numerous research institutions and universities conducting cutting-edge AI research. Investments in AI research projects often involve deploying high-performance computing infrastructure, including data center GPUs, to support computationally intensive tasks such as training complex neural networks. Therefore, growing investments in AI adoption and rising AI-related initiatives in North America are expected to boost the region's demand for data center GPUs.
The US market dominated the North America Data Center GPU Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $29,931.7 million by 2030. The Canada market is experiencing a CAGR of 33.7% during (2023 - 2030). Additionally, The Mexico market would experience a CAGR of 32.6% during (2023 - 2030).
Based on End User, the market is segmented into Cloud Service Providers, Enterprises and Government. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Function, the market is segmented into Training and Inference. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Inc., Samsung Electronics Co., Ltd. (Samsung Group), Micron Technology, Inc., Qualcomm Incorporated (Qualcomm Technologies, Inc.), IBM Corporation, Google LLC (Alphabet Inc.), Microsoft Corporation, Imagination Technologies Limited.
Scope of the Study
Market Segments Covered in the Report:
By End User
- Cloud Service Providers
- Enterprises
- Government
By Deployment Type
- On-premises
- Cloud
By Function
- Training
- Inference
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- NVIDIA Corporation
- Intel Corporation
- Advanced Micro Devices, Inc.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Micron Technology, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- IBM Corporation
- Google LLC (Alphabet Inc.)
- Microsoft Corporation
- Imagination Technologies Limited
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
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- Assured post sales research support with 10% customization free
Table of Contents
Companies Mentioned
- NVIDIA Corporation
- Intel Corporation
- Advanced Micro Devices, Inc.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Micron Technology, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- IBM Corporation
- Google LLC (Alphabet Inc.)
- Microsoft Corporation
- Imagination Technologies Limited
Methodology
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