GPUs, originally designed for rendering graphics, underwent a paradigm shift with the advent of General-Purpose GPU (GPGPU) computing. This transition marked a departure from the traditional graphics-centric role to a more versatile, compute-focused function, opening doors to diverse applications in data centers. Accelerated computing platforms, driven by GPUs, gained prominence as organizations sought to harness the parallel processing prowess for tasks ranging from neural network training to simulations and modeling. Leading GPU manufacturers, such as NVIDIA, played a pivotal role in shaping the landscape with their CUDA architecture, laying the foundation for accelerated computing ecosystems.
Additionally, modern data center architectures embraced the concept of heterogeneity, blending CPUs and GPUs to create a synergy that leverages each processor's strengths. Integrating GPUs alongside traditional processors became a defining feature, offering a balanced approach to handling diverse workloads efficiently. The proliferation of cloud computing further catalyzed GPU adoption, enabling organizations to access GPU capabilities on a pay-as-you-go basis. Cloud service providers integrated GPU instances into their offerings, democratizing access to high-performance computing resources without substantial upfront investments.
In India, there has been a notable increase in the adoption of cloud services by enterprises of various scales, such as corporations, governmental institutions, and emerging businesses. There is an increasing demand for robust and scalable infrastructure as organizations transition their duties to the cloud. One such requirement is the utilization of data center GPUs to expedite computation-intensive tasks. Therefore, the rising adoption of cloud services in Asia Pacific is expected to help in the expansion of the regional data center GPU market.
The China market dominated the Asia Pacific Data Center GPU Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $8,127 million by 2030. The Japan market is registering a CAGR of 32.6% during (2023 - 2030). Additionally, The India market would experience a CAGR of 34.4% 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-premise and Cloud. Based on Function, the market is segmented into Training and Inference. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
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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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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