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市场调查报告书
商品编码
1359044
到 2030 年资料处理单元 (DPU) 市场预测:按组件、类型、资料中心类型、产品类型、用途、最终用户和地区进行的全球分析Data Processing Unit Market Forecasts to 2030 - Global Analysis By Component, Type, Data Center Type, Product Type, Application, End User and By Geography |
根据Stratistics MRC预测,2023年全球资料处理单元(DPU)市场规模将达到7,004.3亿美元,2030年将达到37.1193亿美元,预测期内复合年增长率为26.9%。
资料处理单元 (DPU),也称为高效能可重编程处理器或现代网路接口,专门设计用于执行和加速资料中心伺服器执行的网路和储存任务。 DPU 让伺服器将网路和储存任务从 CPU 转移到 DPU,使 CPU 能够专注于管理作业系统和系统应用程式。 DPU 有效处理以资料为中心的工作负载,资料资料中心中的资料传输、缩减、安全性、压缩、分析和加密。
资料处理单元 (DPU) 部署受到资料中心负担增加的严重影响。不断增加的资料中心工作负载需要DPU等专门的资料处理解决方案来减轻通用CPU的负担,并在现代资料中心环境中实现有效和高效能的资料处理,它强调性别。人工智慧、机器学习、巨量资料分析和云端运算等众多应用程式产生的资料呈指数级增长,对传统中央处理单元 (CPU) 带来巨大压力。为了在资料中心提供有效、高效能的资料处理,DPU 旨在卸载和加速资料为中心的工作负载。
资料处理单元(DPU)是资料处理领域相对较新发展的技术。与中央处理单元 (CPU) 和图形处理单元 (GPU) 等更知名的处理单元相比,潜在客户对 DPU 的了解和了解较少。由于 DPU 较新,人们可能不了解 DPU 及其潜在好处。这些都是限制市场成长的主要要素。
边缘运算可以透过对资料进行本地处理来加速资料处理。它还可以透过最小化网路攻击面和降低网路成本来提高系统安全性。此外,边缘运算可以透过减少需要透过网路传输的资料量来提高系统可靠性。边缘运算可实现即时分析、资料安全和即时分析。这些因素正在推动市场需求。
APT 攻击(进阶目标威胁)是一种有针对性的网路攻击,它渗透到网路中并且在很长一段时间内未被侦测到。 APT 攻击旨在长时间观察网路活动并窃取资料,而不是破坏系统或网路。网路犯罪分子经常利用这些攻击来针对大公司和政府组织资料价值目标,以获得敏感或战略资料。因此,预计这将减少市场成长。
COVID-19大流行的爆发对资料处理单元(DPU)市场产生了重大负面影响。许多国家实施并延长了停工措施,迫使世界各地的工业和製造设施因危机和劳动力短缺而关闭。全球供应链也因疫情爆发而受到干扰,系统出现巨大缺口。人们已经注意到这场流行病造成的破坏性经济影响。资料处理单元市场解决方案开发的暂时延迟导致2020-2021财年收入下降,资料处理单元领域的主要企业暂时受到这种情况的影响。
图形处理单元(GPU)领域估计占最大份额。 GPU 可以同时处理大量资料,这使得它们对于机器学习、影片编辑和游戏等应用非常有用。由于其平行处理能力,GPU 在资料分析作业中通常比 CPU 更快、更强大。这意味着 GPU 可以更有效地处理大型资料和复杂计算,从而缩短处理时间并提高效能。它还可以促进和改进渲染、分析、模拟、建模和人工智慧 (AI) 等新兴技术。
预计资料中心领域在预测期内将出现良好的成长。资料中心是集中组织的 IT业务和设备的设施,用于储存、处理和分发资料和应用程式。资料中心容纳组织最关键和专有的资产,对于日常业务的连续性至关重要。资料中心旨在支援业务应用程式和活动,例如电子邮件和文件共用、资料库管理和网页浏览。
由于拥有大量领先的科技公司、尖端的计算技术以及大量的研发投资,北美在估计期间占据了最大的市场份额。北美目前占该行业的大部分。尤其美国,在全球工业半导体市场中扮演重要角色。该国的主要企业和政府机构正在大力投资这项技术。 2021年,北美市场将占全球资料处理单元市场份额的近五分之二,成为份额最大的市场。
预计欧洲在预测期内将出现获利成长。 IT基础设施的扩张、资料中心领域的扩张以及对人工智慧和机器学习应用需求的增加预计都将促进亚太地区的快速成长。通讯、汽车和医疗保健产业的发展也导致了对 DPU 的大量需求。全国范围内,各大公司和政府部门都在大力投资这项技术。
According to Stratistics MRC, the Global Data Processing Unit Market is accounted for $ 700.43 billion in 2023 and is expected to reach $ 3711.93 billion by 2030 growing at a CAGR of 26.9% during the forecast period. Data processing units (DPUs), also known as high-performance, reprogrammable processors and contemporary network interfaces, are designed specifically to perform and accelerate the network and storage tasks that data centre servers are responsible for. DPUs enable servers to transfer network and storage tasks from the CPU to the DPU, freeing up the CPU to concentrate only on managing the operating systems and system applications. It efficiently handles data-centric workloads such as data transfer, reduction, security, compression, analytics, and encryption, at scale in data centres.
Data processing unit (DPU) deployment is significantly influenced by rising data centre workloads. In order to reduce the burden on general-purpose CPUs and enable effective and high-performance data processing in contemporary data centre environments, these rising data centre workloads emphasise the necessity for specialised data processing solutions like DPUs. Traditional central processing units (CPUs) are under a great deal of stress due to the exponential rise of data produced by numerous applications, including artificial intelligence, machine learning, big data analytics, and cloud computing. In order to provide effective and high-performance data processing in data centres, DPUs are made to offload and accelerate workloads that are data-centric.
Data processing units are a relatively new and developing technology in the field of data processing. DPUs are less well known and understood by potential customers than more renowned processing units like central processing units (CPUs) and graphics processing units (GPUs). The novelty of DPUs may cause people to be unaware of them and their potential advantages. These are the significant factors that restrain market growth.
Edge computing can speed up data processing by performing local processing on the data. It can improve system security by minimising the network's attack surface and reducing network expenses. Moreover, by lowering the quantity of data that needs to be transferred across the network, edge computing can increase the reliability of systems. Edge computing enables real-time analytics, data security, and real-time analytics. These elements are propelling the market demand.
An advanced persistent threat (APT) is a targeted network attack that invades the network and remains undiscovered for a considerable amount of time. APT attacks are designed to observe network activity and steal data over an extended period of time, rather than breach systems or networks. Its attacks are frequently used by cybercriminals to target high-value targets like major enterprises and government organisations in order to acquire important or strategic data. Thus, this will decrease the market growth
The COVID-19 pandemic outbreak is having a significant negative impact on the market for data processing units. Many countries have imposed and extended lockdowns, which have caused industry and manufacturing facilities all around the world to shut down due to a crisis and a lack of labour. The worldwide supply chain has also been interrupted by the pandemic outbreak, leaving a huge void in the system. The pandemic's disruptive economic effects have been noticed. Due to a temporary delay in the development of data processing unit market solutions, which has resulted in a drop in revenues for the financial years 2020 to 2021, key companies in the data processing unit sector temporarily experienced this situation.
The Graphics Processing Unit (GPU) segment is estimated to hold the largest share. GPUs can process a lot of data at once, which makes them useful for applications like machine learning, video editing, and gaming. GPUs are generally quicker and more powerful than CPUs for data analytics jobs due to their parallel processing capabilities. This implies they can handle massive datasets and complex computations more efficiently, leading to faster processing times and improved performance. It facilitates and improves emerging technologies, including rendering, analytics, simulation and modelling, and artificial intelligence (AI).
The Data Centres segment is anticipated to have lucrative growth during the forecast period. A data centre is a facility that centralises an organisation's IT operations and devices for the purposes of storing, processing, and disseminating data and applications. Data centres are essential to the continuity of daily operations because they house an organisation's most crucial and proprietary assets. They are designed to support business applications and activities that include email and file sharing, database management, and web browsing.
North America commanded the largest market share during the extrapolated period, owing to its abundance of leading technology firms, cutting-edge computing technologies, and large investments in R&D. North America currently controls the majority of the industry. The U.S., particularly, tends to play a prominent role in the global industrial semiconductor market. Major businesses and government agencies in the nation are heavily investing in the technology. In 2021, nearly two-fifths of the global market share for data processing units was owned by the North American market, making it the market with the largest share.
Europe is expected to witness profitable growth over the projection period. The expanding IT infrastructure, expanding data centre sector, and rising demand for AI and ML applications are all likely to contribute to the Asia-Pacific region's rapid growth. The development of the telecommunications, automotive, and healthcare industries has led to a substantial demand for DPUs as well. Countrywide, major companies as well as government departments are making substantial investments in the technology.
Some of the key players in the Data Processing Unit Market include: Fungible, Inc., Intel Corporation, kalray, Resnics /Yisixin Technology (Shanghai) Co., Ltd., Marvell, Technology Inc., Advanced Micro Devices, Inc., Broadcom Inc., NVIDIA Corporation, Jaguarmicro and Yusur.
In September 2023, Nvidia Corp. announced separate partnerships with Reliance and Tata group companies to help them develop AI-powered supercomputers, AI clouds and generative AI applications.
In August 2023, NVIDIA and Google Cloud Expand Partnership to Advance AI Computing, Software and Services. NVIDIA and Google Cloud announced new AI infrastructure and software for customers to build and deploy massive models for generative AI and speed data science workloads.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.