市场调查报告书
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1438049
到 2030 年资料中心图形处理单元 (GPU) 市场预测:按部署模型、功能、最终用户和区域进行的全球分析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 |
根据Stratistics MRC的数据,2023年全球资料中心图形处理单元(GPU)市值为149.9亿美元,预计到2030年将达到1,116.4亿美元,预计复合年增长率为33.2 %。
资料中心图形处理单元 (GPU) 是一种专用处理器,旨在加速资料中心环境中的图形渲染和平行处理任务。并行处理能力可以同时执行多个任务,提高运算效率。 GPU 在资料中心中用于加速人工智慧 (AI)、机器学习 (ML)、高效能运算 (HPC)、资料分析和科学模拟等任务。
资料中心 GPU 在企业中的采用率不断提高
越来越多的公司正在利用 GPU 来提高资料分析、人工智慧和机器学习等任务的运算能力。 GPU 凭藉其平行处理能力加速复杂运算,从而实现更快的洞察和决策。随着企业采用资料驱动型运营,对 GPU 驱动的资料中心的需求不断增加。此外,这些GPU不仅提高了传统图形处理的效能,还使企业能够满足高阶运算工作负载日益增长的需求。因此,GPU推动了市场的成长。
初始成本高
与 GPU 技术相关的采购和实施成本,包括 GPU 本身和冷却系统等支援基础设施,为企业带来了巨大的财务障碍。这种初始投资可能会阻止一些公司(尤其是中小型企业)采用 GPU 解决方案,并影响整体采用率。儘管运算效能具有长期优势,但高昂的前期投资可能会阻碍 GPU 在资料中心的广泛集成,并限制市场成长。
高效能运算需求
由于其平行处理能力,GPU 可以透过有效管理 HPC 操作特有的平行工作负载来提高效能。由于各个领域都依赖复杂资料集中的模拟,资料中心对 GPU 加速解决方案的需求不断增加。此外,GPU 对于提高运算能力和加速资料分析、科学研究和工程方面的研究成果至关重要,满足新需求的需求正在不断增长。这有利于市场拓展。
资料安全问题
GPU 在资料中心处理敏感资料方面发挥着至关重要的作用,因此 GPU架构中的任何安全漏洞或漏洞都可能损害资料和机密性。资料外洩可能会削弱组织的信任并阻碍 GPU 使用的采用和扩展。不断演变的网路安全威胁需要采取强有力的措施来保护 GPU 处理的资料,任何明显的安全漏洞都可能影响市场成长。
COVID-19 的影响
数位转型和远端工作的快速普及正在推动对高效能运算和 GPU 加速应用程式的需求。研究、医疗保健和娱乐等行业对资料分析、内容创建和医学模拟等工作的 GPU 的需求不断增加。儘管全球供应链受到干扰且某些产业出现波动,但疫情仍促使人们关注稳健的资料中心基础设施的重要性,以及对 GPU 技术进行投资以满足不断变化的处理需求的重要性。
预计云部分在预测期内将是最大的
据估计,云端领域占据最大份额。云端供应商正在利用 GPU 来提高虚拟环境的效能,以支援图形渲染、人工智慧和高效能运算等各种工作负载。该细分市场为企业提供可扩展且按需存取的 GPU 加速资源,使他们能够经济高效地处理运算集中任务。此外,它反映了将复杂运算工作负载卸载到虚拟GPU 资源的日益增长的趋势,为广泛的应用程式和行业提供弹性和扩充性。
预计政府部门在预测期内的复合年增长率最高。
预计政府部门在预测期内将出现良好的成长。政府正在利用 GPU 进行科学研究、国防模拟和资料分析等应用。 GPU 使这些组织能够有效地处理大量资料,支持从国家安全到公共服务的广泛倡议。它还强调了 GPU 在管治、研究和策略决策所需任务的运算能力方面发挥的关键作用。政府资料中心采用 GPU 体现了利用先进技术提高公共部门营运效率和效能的承诺。
由于电子商务的兴起、技术基础设施的进步以及资料主导倡议的扩展,亚太地区在预测期内占据了最大的市场占有率。中国、日本和印度等国家处于领先地位,大力投资 GPU 技术,用于科学研究、游戏和云端服务。此外,云端处理服务的兴起在亚太地区意义重大,主要云端供应商不断扩展其资料中心能力。该地区专注于工业创新和自动化,进一步推动资料中心对 GPU 的需求。
预计北美在预测期内将实现盈利成长。该地区是人工智慧、机器学习和高效能运算应用的主要参与者,导致资料中心对 GPU 的需求很高。包括硅谷在内的美国主要技术中心为创新、研究和开发做出了贡献。虽然游戏产业的兴起正在推动对 GPU 的需求,但云端运算供应商仍在继续投资以 GPU 为中心的基础设施。由于高度关注数位转型,北美地区继续在塑造资料中心 GPU 市场的全球格局方面发挥关键影响力。
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.