The Europe Data Center Chip Market should witness market growth of 12.8% CAGR during the forecast period (2023-2030). In the year 2020, the Europe market's volume surged to 230.5 thousand units, showcasing a growth of 4.7% (2019-2022).
Rapid technical improvements in memory chips and programmable solutions are also considerably boosting access to massive volumes of data and enhancing performance in connected devices and data centres, which is, in turn, fuelling the market's expansion. Along with the widespread adoption of the Internet of Things (IoT) technologies, the introduction of fourth generation (4G) and fifth generation (5G) networks is also promoting market expansion.
Companies can upgrade to a dynamic environment, and processing technology is also dynamic. Chips of the next generation, including ASICs and FPGAs, will improve the efficacy of connected devices and data centres. Such chips may improve the performance of other applications, respond quickly to the changing demands of the data centre, and enhance the data centre’s overall performance.
The expanding demand for edge computing, which requires powerful processors to process data at the network's edge, signifies a data centre CPU demand opportunity. The AI and machine learning sector is anticipated to grow rapidly, presenting a significant opportunity for companies specializing in CPUs optimized for these workloads. Edge computing entails processing data closer to the source, which calls for processors optimized for this workload. This poses a possibility for companies that can create CPUs optimized specifically for edge computing.
A pioneer in artificial intelligence research and development, Europe is known for its innovative businesspeople, industrialists, and digital start-ups based on cutting-edge scientific research. With investments commensurate with its economic weight, Europe is competitive in AI. Additionally, the healthcare industry's expanded use of Big Data and Germany's growing adoption of autonomous vehicles contribute to the growth of the machine learning sector in that nation. In the automotive industry, well-known brands create advanced autonomous vehicles that use machine learning (ML). The regional data centre chip market is expected to expand owing to the increasing usage of AI and ML.
The Germany market dominated the Europe Data Center Chip Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $2.0 billion by 2030. The UK market is estimated to witness a CAGR of 11.8% during (2023-2030). Additionally, The France market would showcase a CAGR of 13.6% during (2023-2030).
Based on Chip Type, the market is segmented into GPU, ASIC, FPGA, CPU, and Others. Based on Vertical, the market is segmented into BFSI, Manufacturing, Telecom & IT, Government, Retail, Transportation, Energy & Utilities, and Others. Based on Data Center Size, the market is segmented into Large, and Small & Medium Size. 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 Advanced Micro Devices, Inc., Arm Limited, Broadcom, Inc., GLOBALFOUNDRIES Inc., Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd. (Samsung Group), Taiwan Semiconductor Manufacturing Company Limited, and Qualcomm, Inc.
Rapid technical improvements in memory chips and programmable solutions are also considerably boosting access to massive volumes of data and enhancing performance in connected devices and data centres, which is, in turn, fuelling the market's expansion. Along with the widespread adoption of the Internet of Things (IoT) technologies, the introduction of fourth generation (4G) and fifth generation (5G) networks is also promoting market expansion.
Companies can upgrade to a dynamic environment, and processing technology is also dynamic. Chips of the next generation, including ASICs and FPGAs, will improve the efficacy of connected devices and data centres. Such chips may improve the performance of other applications, respond quickly to the changing demands of the data centre, and enhance the data centre’s overall performance.
The expanding demand for edge computing, which requires powerful processors to process data at the network's edge, signifies a data centre CPU demand opportunity. The AI and machine learning sector is anticipated to grow rapidly, presenting a significant opportunity for companies specializing in CPUs optimized for these workloads. Edge computing entails processing data closer to the source, which calls for processors optimized for this workload. This poses a possibility for companies that can create CPUs optimized specifically for edge computing.
A pioneer in artificial intelligence research and development, Europe is known for its innovative businesspeople, industrialists, and digital start-ups based on cutting-edge scientific research. With investments commensurate with its economic weight, Europe is competitive in AI. Additionally, the healthcare industry's expanded use of Big Data and Germany's growing adoption of autonomous vehicles contribute to the growth of the machine learning sector in that nation. In the automotive industry, well-known brands create advanced autonomous vehicles that use machine learning (ML). The regional data centre chip market is expected to expand owing to the increasing usage of AI and ML.
The Germany market dominated the Europe Data Center Chip Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $2.0 billion by 2030. The UK market is estimated to witness a CAGR of 11.8% during (2023-2030). Additionally, The France market would showcase a CAGR of 13.6% during (2023-2030).
Based on Chip Type, the market is segmented into GPU, ASIC, FPGA, CPU, and Others. Based on Vertical, the market is segmented into BFSI, Manufacturing, Telecom & IT, Government, Retail, Transportation, Energy & Utilities, and Others. Based on Data Center Size, the market is segmented into Large, and Small & Medium Size. 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 Advanced Micro Devices, Inc., Arm Limited, Broadcom, Inc., GLOBALFOUNDRIES Inc., Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd. (Samsung Group), Taiwan Semiconductor Manufacturing Company Limited, and Qualcomm, Inc.
Scope of the Study
By Chip Type (Volume, Thousand Units, USD Million, 2019-2030)
- GPU
- ASIC
- FPGA
- CPU
- Others
By Vertical (Volume, Thousand Units, USD Million, 2019-2030)
- BFSI
- Manufacturing
- Telecom & IT
- Government
- Retail
- Transportation
- Energy & Utilities
- Others
By Data Center Size (Volume, Thousand Units, USD Million, 2019-2030)
- Large
- Small & Medium Size
By Country (Volume, Thousand Units, USD Million, 2019-2030)
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Advanced Micro Devices, Inc.
- Arm Limited
- Broadcom, Inc.
- GLOBALFOUNDRIES Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Intel Corporation
- NVIDIA Corporation
- Samsung Electronics Co., Ltd. (Samsung Group)
- Taiwan Semiconductor Manufacturing Company Limited
- Qualcomm, Inc.
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Europe Data Center Chip Market by Chip Type
Chapter 6. Europe Data Center Chip Market by Vertical
Chapter 7. Europe Data Center Chip Market by Data Center Size
Chapter 8. Europe Data Center Chip Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Advanced Micro Devices, Inc.
- Arm Limited
- Broadcom, Inc.
- GLOBALFOUNDRIES Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Intel Corporation
- NVIDIA Corporation
- Samsung Electronics Co., Ltd. (Samsung Group)
- Taiwan Semiconductor Manufacturing Company Limited
- Qualcomm, Inc.
Methodology
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