Graphics processing units (GPUs) are critical in deep learning as they streamline the training process of neural networks and enable their subsequent inference. Real-time applications, including image and speech recognition, leverage the inferencing capabilities of GPUs, enabling rapid decision-making and enhancing user experiences. Scientific research, spanning disciplines from physics to biology, benefits immensely from the computational power of GPUs. Simulations and modeling tasks, essential for advancements in climate science, drug discovery, and materials research, are accelerated by the parallel processing capabilities of GPUs.
The media and entertainment industry and design and architecture sectors leverage GPUs for rendering and visualization tasks. GPU-accelerated rendering enables real-time visualization, improving the quality and speed of content creation in areas such as gaming, film production, and architectural design. Likewise, high-performance computing relies heavily on GPUs to tackle computationally intensive tasks. Applications in weather modeling, fluid dynamics, and molecular simulations leverage the parallel architecture of GPUs to achieve remarkable performance gains over traditional CPU-based approaches.
Major cloud providers, including AWS, Microsoft Azure, and Google Cloud, have a strong presence in Europe. Additionally, there are regional and local cloud service providers. The combined efforts of these providers contribute to the growth of the data center GPU demand in the region. According to Eurostat, 41 % of EU enterprises used cloud computing in 2021. Thus, the growing adoption of cloud computing by enterprises in Europe will boost the demand for data center GPUs in the region.
The Germany market dominated the Europe Data Center GPU Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $7,262.5 million by 2030. The UK market is exhibiting a CAGR of 30.6% during (2023 - 2030). Additionally, The France market would experience a CAGR of 32.8% 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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
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
- Subscription-based model available
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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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