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市場調査レポート
商品コード
1512230
欧州のAIと半導体- サーバー用GPU市場:用途別、製品別、国別 - 分析と予測(2023年~2028年)Europe AI and Semiconductors - A Server GPU Market: Focus on Application, Product, and Country - Analysis and Forecast, 2023-2028 |
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カスタマイズ可能
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欧州のAIと半導体- サーバー用GPU市場:用途別、製品別、国別 - 分析と予測(2023年~2028年) |
出版日: 2024年07月12日
発行: BIS Research
ページ情報: 英文 69 Pages
納期: 1~5営業日
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欧州のAIと半導体- サーバー用GPUの市場規模は、2023年に53億3,780万米ドルとなりました。
同市場は今後29.87%のCAGRで拡大し、2028年には197億1,870万米ドルに達すると予測されています。GPUサーバーの市場は、中央集中型のクラウドサーバーだけに依存するのではなく、よりソースに近いところでデータを処理するエッジコンピューティングの人気の高まりによって上昇しています。さらに、職場やデータセンター環境における仮想化の動向の高まりが、GPUサーバーの需要を後押ししています。
主要市場統計 | |
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予測期間 | 2023年~2028年 |
2023年評価 | 53億3,780万米ドル |
2028年予測 | 197億1,870万米ドル |
CAGR | 29.87% |
欧州のAIと半導体市場は、特にサーバーGPU分野で急成長しています。AIで必要とされる高度な計算を処理するために、サーバーGPUは迅速なデータ処理と性能向上を促進するために極めて重要です。GPUサーバーのニーズは、データをよりソースに近いところで処理するエッジコンピューティングの出現と、データセンターや企業環境における仮想化の動向の拡大が主な要因となっています。さらに、欧州連合(EU)がデジタルトランスフォーメーションを重視し、AIの研究開発に資金を配分していることも、イノベーションを刺激し、市場の見通しを強めています。業界の大手企業は、半導体と人工知能の変化する要件を満たすために、常に製品ラインを改善しています。
当レポートでは、欧州のAIと半導体- サーバー用GPU市場について調査し、市場の概要とともに、用途別、製品別、国別の動向、および市場に参入する企業のプロファイルなどを提供しています。
Introduction to Europe AI and Semiconductors - A Server GPU Market
The Europe AI and semiconductor - a server GPU market accounted for $5,337.8 million in 2023 and is expected to grow at a CAGR of 29.87% and reach $19,718.7 million by 2028. The market for GPU servers is rising due to the growing popularity of edge computing, which handles data closer to its source rather than depending just on centralized cloud servers. Furthermore, the increasing trend for virtualization in workplace and data center settings propels the demand for GPU servers.
KEY MARKET STATISTICS | |
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Forecast Period | 2023 - 2028 |
2023 Evaluation | $5,337.8 Million |
2028 Forecast | $19,718.7 Million |
CAGR | 29.87% |
Market Introduction
Artificial Intelligence and semiconductor market in Europe is growing rapidly, especially in the server GPU segment due to increased usage of AI across industries and technical breakthroughs. In order to handle the sophisticated computations needed by AI applications, server GPUs are crucial for facilitating quicker data processing and better performance. The need for GPU servers is being driven primarily by the emergence of edge computing, which processes data closer to its source, and the expanding trend of virtualization in data centers and enterprise environments. Furthermore, the European Union's emphasis on digital transformation and its allocation of funds towards AI research and development are stimulating innovation and augmenting market prospects. Leading companies in the industry are always improving their product lines to satisfy the changing requirements of semiconductor and artificial intelligence applications. This report explores the current market dynamics, leading companies, and future trends shaping the European server GPU market within the broader AI and semiconductor landscape.
Market Segmentation
Segmentation 1: by Application (End User)
Segmentation 2: by Product (Configuration Type)
Segmentation 3: by Region
How can this report add value to an organization?
Product/Innovation Strategy: In the ever-evolving realm of server GPU technology, notable advancements are reshaping the landscape, with a focus on optimizing data center performance. Leveraging cutting-edge solutions, including AI-driven analytics and real-time monitoring platforms, server GPU technology offers intricate insights into server health, workload management, and resource utilization. Innovations such as advanced data center cooling techniques contribute to efficient temperature regulation, ensuring optimal server functionality. The market encompasses a diverse range of solutions, from high-performance computing platforms to precision cooling systems, enabling businesses to elevate operational efficiency and minimize resource utilization effectively.
Growth/Marketing Strategy: The AI and semiconductor - a server GPU market has experienced notable growth strategies adopted by key players. Business expansions, collaborations, and partnerships have played a crucial role. Companies are expanding their reach to multiple markets, establishing alliances, and entering research collaborations to strengthen their technological capabilities. Collaborative initiatives between technology companies and domain experts are propelling the advancement of cutting-edge monitoring tools. Furthermore, strategic joint ventures are facilitating the integration of diverse expertise, significantly enhancing the market presence of these solutions. This collaborative approach is pivotal in creating comprehensive, user-friendly, and efficient server GPU solutions.
Competitive Strategy: In the dynamic realm of the AI and semiconductor - a server GPU market, manufacturers are expanding their product portfolios to cater to diverse computing needs and applications. Rigorous competitive benchmarking reveals the distinct strengths of market players, highlighting their unique solutions and regional expertise. Strategic collaborations with research institutions and technology organizations are pivotal drivers of innovation, shaping the evolution of the server GPU landscape.