市場調查報告書
商品編碼
1438049
到 2030 年資料中心圖形處理單元 (GPU) 市場預測:按部署模型、功能、最終用戶和區域進行的全球分析Data Center Graphical Processing Unit (GPU) Market Forecasts to 2030 - Global Analysis By Deployment Model (Cloud and On-premises), Function (Inference and Training), End User and By Geography |
根據Stratistics MRC的數據,2023年全球資料中心圖形處理單元(GPU)市值為149.9億美元,預計到2030年將達到1,116.4億美元,預計年複合成長率為33.2 %。
資料中心圖形處理單元 (GPU) 是一種專用處理器,旨在加速資料中心環境中的圖形渲染和平行處理任務。並行處理能力可以同時執行多個任務,提高運算效率。 GPU 在資料中心中用於加速人工智慧 (AI)、機器學習 (ML)、高效能運算 (HPC)、資料分析和科學模擬等任務。
資料中心 GPU 在企業中的採用率不斷提高
越來越多的公司正在利用 GPU 來提高資料分析、人工智慧和機器學習等任務的運算能力。 GPU 憑藉其平行處理能力加速複雜運算,從而實現更快的洞察和決策。隨著企業採用資料驅動型營運,對 GPU 驅動的資料中心的需求不斷增加。此外,這些GPU不僅提高了傳統圖形處理的效能,還使企業能夠滿足高階運算工作負載日益成長的需求。因此,GPU推動了市場的成長。
初始成本高
與 GPU 技術相關的採購和實施成本,包括 GPU 本身和冷卻系統等支援基礎設施,為企業帶來了巨大的財務障礙。這種初始投資可能會阻止一些公司(尤其是中小型企業)採用 GPU 解決方案,並影響整體採用率。儘管運算效能具有長期優勢,但高昂的前期投資可能會阻礙 GPU 在資料中心的廣泛整合,並限制市場成長。
高效能運算需求
由於其平行處理能力,GPU 可以透過有效管理 HPC 操作特有的平行工作負載來提高效能。由於各個領域都依賴複雜資料集中的模擬,資料中心對 GPU 加速解決方案的需求不斷增加。此外,GPU 對於提高運算能力和加速資料分析、科學研究和工程方面的研究成果至關重要,滿足新需求的需求正在不斷成長。這有利於市場拓展。
資料安全問題
GPU 在資料中心處理敏感資料方面發揮著至關重要的作用,因此 GPU架構中的任何安全漏洞或漏洞都可能損害資料和機密性。資料外洩可能會削弱組織的信任並阻礙 GPU 使用的採用和擴展。不斷演變的網路安全威脅需要採取強力的措施來保護 GPU 處理的資料,任何明顯的安全漏洞都可能影響市場成長。
COVID-19 的影響
數位轉型和遠端工作的快速普及正在推動對高效能運算和 GPU 加速應用程式的需求。研究、醫療保健和娛樂等行業對資料分析、內容創建和醫學模擬等工作的 GPU 的需求不斷增加。儘管全球供應鏈受到干擾且某些產業出現波動,但疫情仍促使人們關注穩健的資料中心基礎設施的重要性,以及對 GPU 技術進行投資以滿足不斷變化的處理需求的重要性。
預計雲部分在預測期內將是最大的
據估計,雲端領域佔據最大佔有率。雲端供應商正在利用 GPU 來提高虛擬環境的效能,以支援圖形渲染、人工智慧和高效能運算等各種工作負載。該細分市場為企業提供可擴展且按需存取的 GPU 加速資源,使他們能夠經濟高效地處理運算集中任務。此外,它反映了將複雜運算工作負載卸載到虛擬GPU 資源的日益成長的趨勢,為廣泛的應用程式和行業提供彈性和擴充性。
預計政府部門在預測期內的年複合成長率最高。
預計政府部門在預測期內將出現良好的成長。政府正在利用 GPU 進行科學研究、國防模擬和資料分析等應用。 GPU 使這些組織能夠有效地處理大量資料,支持從國家安全到公共服務的廣泛舉措。它還強調了 GPU 在管治、研究和策略決策所需任務的運算能力方面發揮的關鍵作用。政府資料中心採用 GPU 體現了利用先進技術提高公共部門營運效率和效能的承諾。
由於電子商務的興起、技術基礎設施的進步以及資料主導舉措的擴展,亞太地區在預測期內佔據了最大的市場佔有率。中國、日本和印度等國家處於領先地位,大力投資 GPU 技術,用於科學研究、遊戲和雲端服務。此外,雲端處理服務的興起在亞太地區意義重大,主要雲端供應商不斷擴展其資料中心能力。該地區專注於工業創新和自動化,進一步推動資料中心對 GPU 的需求。
預計北美在預測期內將實現盈利成長。該地區是人工智慧、機器學習和高效能運算應用的主要參與者,導致資料中心對 GPU 的需求很高。包括矽谷在內的美國主要技術中心為創新、研究和開發做出了貢獻。雖然遊戲產業的興起正在推動對 GPU 的需求,但雲端運算供應商仍在繼續投資以 GPU 為中心的基礎設施。由於高度關注數位轉型,北美地區繼續在塑造資料中心 GPU 市場的全球格局方面發揮關鍵影響力。
According to Stratistics MRC, the Global Data Center Graphical Processing Unit (GPU) Market is accounted for $14.99 billion in 2023 and is expected to reach $111.64 billion by 2030 growing at a CAGR of 33.2% during the forecast period. Data Center Graphical Processing Units (GPUs) are specialized processors designed to accelerate graphics rendering and parallel processing tasks within data center environments. Their parallel processing capabilities enable simultaneous execution of multiple tasks, enhancing computational efficiency. In data centres, GPUs are used to accelerate tasks such as artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), data analytics, and scientific simulations.
Rising adoption of data center GPUs in enterprises
Enterprises are increasingly leveraging GPUs to enhance their computational capabilities for tasks like data analytics, artificial intelligence, and machine learning. GPUs, with their parallel processing prowess, accelerate complex computations, enabling quicker insights and decision-making. The need for GPU-equipped data centres is increasing as companies embrace data-driven operations. Furthermore, these GPUs not only improve performance in traditional graphics processing but also empower enterprises to address the growing demands of advanced computing workloads. Thus, it will propel market growth.
High initial costs
The acquisition and implementation expenses associated with GPU technology, including the GPUs themselves and supporting infrastructure like cooling systems, present a considerable financial barrier for organizations. This initial investment can deter some businesses, particularly smaller enterprises, from embracing GPU solutions, impacting the overall adoption rate. Despite the long-term benefits of computational performance, the substantial upfront expenditures may hinder widespread integration of GPUs in data centres, limiting the market's growth.
Demand for high-performance computing
GPUs provide improved performance by effectively managing the parallel workloads that are characteristic of HPC operations due to their parallel processing capabilities. The need for GPU-accelerated solutions in data centres is rising as various sectors rely on intricate and data-intensive simulations. Moreover, GPUs are essential for increasing computational power and accelerating research outcomes in data analysis, scientific research, and engineering, where there is a growing need to meet emerging needs. Thereby, it will enhance market expansion.
Data security concerns
As GPUs play a pivotal role in processing sensitive and confidential data in data centres, any security breach or vulnerability in GPU architectures could compromise data integrity and confidentiality. Instances of data breaches could lead to a loss of trust among organisations, deterring them from adopting or expanding GPU usage. The evolving landscape of cybersecurity threats necessitates robust measures to safeguard data processed by GPUs, and any perceived weaknesses in security may impact the market's growth.
Covid-19 Impact
High-performance computing and GPU-accelerated apps were in more demand due to the rapid uptake of digital transformation and remote work practices. GPU demands have increased for jobs like data analytics, content creation, and medical simulations in industries like research, healthcare, and entertainment. The pandemic brought attention to the crucial significance of strong data centre infrastructure and encouraged investments in GPU technology to meet changing processing demands, even though there were some supply chain disruptions worldwide and fluctuations in particular industries.
The cloud segment is expected to be the largest during the forecast period
The cloud segment is estimated to hold the largest share. Cloud providers leverage GPUs to enhance the performance of virtualized environments, catering to diverse workloads such as graphics rendering, artificial intelligence, and high-performance computing. This segment allows businesses to access GPU-accelerated resources on a scalable and on-demand basis, facilitating cost-effective and efficient processing of computationally intensive tasks. Moreover, it reflects the growing trend of offloading complex computational workloads to virtualized GPU resources, offering flexibility and scalability for a wide range of applications and industries.
The government segment is expected to have the highest CAGR during the forecast period
The government segment is anticipated to have lucrative growth during the forecast period. Governments leverage GPUs for applications such as scientific research, defence simulations, and data analytics. GPUs enable these entities to process vast amounts of data efficiently, supporting initiatives ranging from national security to public services. Furthermore, it underscores the critical role of GPUs in enhancing computational capabilities for tasks essential to governance, research, and strategic decision-making. The adoption of GPUs in government data centres reflects a commitment to leveraging advanced technologies for improved efficiency and performance in public sector operations.
Asia Pacific commanded the largest market share during the extrapolated period owing to a rise in e-commerce, technological infrastructure advancements, and growing data-driven initiatives. Countries like China, Japan, and India are at the forefront, investing heavily in GPU technology for scientific research, gaming, and cloud services. Furthermore, the rise of cloud computing services is significant in the Asia Pacific, with major cloud providers expanding their data center capabilities. The region's focus on industrial innovation and automation further drives the demand for GPUs in data centres.
North America is expected to witness profitable growth over the projection period. The region is a key player in AI, machine learning, and high-performance computing applications, leading to a high demand for GPUs in data centres. Major tech hubs in the United States, including Silicon Valley, contribute to innovation, research, and development. The gaming industry's prominence fuels the demand for GPUs, while cloud computing providers continue to invest in GPU-centric infrastructure. With a strong focus on digital transformation, North America remains a significant influencer in shaping the global landscape of the data centre GPU market.
Key players in the market
Some of the key players in the Data Center Graphical Processing Unit (GPU) Market include Advanced Micro Devices Inc, Google Inc., Advantech Co. Ltd., IBM Corporation, Huawei Technologies Co. Ltd., Intel Corporation, Imagination Technologies, NVIDIA Corporation, Samsung Electronics Co.Ltd., Qualcomm Technologies, Inc., Micron Technology, Inc., Microsoft Corporation, Graphcore, Arm Limited, Gigabyte Technology Co. Ltd., Apple Inc., Zotac and Micro Devices Inc.
In October 2023, Nvidia and Foxconn joined forces to create data center modules designed for AI-driven factories, utilizing Nvidia's Grace Hopper chips. Through the collaboration, Hon Hai Technology Group (Foxconn) aims to integrate Nvidia's technology to establish innovative data centres.
In October 2023, IBM introduced the new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet today's data intensive and AI workload demands, and the latest offering in the IBM Storage for Data and AI portfolio
In May 2023, IBM Announces Launch of IBM Hybrid Cloud Mesh to Help Enterprises Regain Control of their Multicloud Infrastructure. Driven by "Application-Centric Connectivity", IBM Hybrid Cloud Mesh is engineered to automate the process, management and observability of application connectivity in and between public and private clouds to help modern enterprises operate their infrastructure across hybrid multicloud and heterogeneous environments.