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市場調查報告書
商品編碼
1359044
到 2030 年資料處理單元 (DPU) 市場預測:按組件、類型、資料中心類型、產品類型、用途、最終用戶和地區進行的全球分析Data Processing Unit Market Forecasts to 2030 - Global Analysis By Component, Type, Data Center Type, Product Type, Application, End User and By Geography |
根據Stratistics MRC預測,2023年全球資料處理單元(DPU)市場規模將達到7,004.3億美元,2030年將達到37.1193億美元,預測期內年複合成長率為26.9%。
資料處理單元 (DPU),也稱為高效能可重編程處理器或現代網路介面,專門設計用於執行和加速資料中心伺服器執行的網路和儲存任務。 DPU 讓伺服器將網路和儲存任務從 CPU 轉移到 DPU,使 CPU 能夠專注於管理作業系統和系統應用程式。 DPU 有效處理以資料為中心的工作負載,資料資料中心中的資料傳輸、縮減、安全性、壓縮、分析和加密。
資料處理單元 (DPU) 部署受到資料中心負擔增加的嚴重影響。不斷增加的資料中心工作負載需要DPU等專門的資料處理解決方案來減輕通用CPU的負擔,並在現代資料中心環境中實現有效和高效能的資料處理,它強調性別。人工智慧、機器學習、巨量資料分析和雲端運算等眾多應用程式產生的資料呈指數級成長,對傳統中央處理單元 (CPU) 帶來巨大壓力。為了在資料中心提供有效、高效能的資料處理,DPU 旨在卸載和加速資料為中心的工作負載。
資料處理單元(DPU)是資料處理領域相對較新發展的技術。與中央處理單元 (CPU) 和圖形處理單元 (GPU) 等更知名的處理單元相比,潛在客戶對 DPU 的了解和了解較少。由於 DPU 較新,人們可能不了解 DPU 及其潛在好處。這些都是限制市場成長的主要要素。
邊緣運算可以透過對資料進行本地處理來加速資料處理。它還可以透過最小化網路攻擊面和降低網路成本來提高系統安全性。此外,邊緣運算可以透過減少需要透過網路傳輸的資料量來提高系統可靠性。邊緣運算可實現即時分析、資料安全和即時分析。這些因素正在推動市場需求。
APT 攻擊(進階目標威脅)是一種有針對性的網路攻擊,它滲透到網路中並且在很長一段時間內未被偵測到。 APT 攻擊旨在長時間觀察網路活動並竊取資料,而不是破壞系統或網路。網路犯罪分子經常利用這些攻擊來針對大公司和政府組織資料價值目標,以獲得敏感或戰略資料。因此,預計這將減少市場成長。
COVID-19大流行的爆發對資料處理單元(DPU)市場產生了重大負面影響。許多國家實施並延長了停工措施,迫使世界各地的工業和製造設施因危機和勞動力短缺而關閉。全球供應鏈也因疫情爆發而受到干擾,系統出現巨大缺口。人們已經注意到這場流行病造成的破壞性經濟影響。資料處理單元市場解決方案開發的暫時延遲導致2020-2021會計年度收入下降,資料處理單元領域的主要企業暫時受到這種情況的影響。
圖形處理單元(GPU)領域估計佔最大佔有率。 GPU 可以同時處理大量資料,這使得它們對於機器學習、影片編輯和遊戲等應用非常有用。由於其平行處理能力,GPU 在資料分析作業中通常比 CPU 更快、更強大。這意味著 GPU 可以更有效地處理大型資料和複雜計算,從而縮短處理時間並提高效能。它還可以促進和改進渲染、分析、模擬、建模和人工智慧 (AI) 等新興技術。
預計資料中心領域在預測期內將出現良好的成長。資料中心是集中組織的 IT業務和設備的設施,用於儲存、處理和分發資料和應用程式。資料中心容納組織最關鍵和專有的資產,對於日常業務的連續性至關重要。資料中心旨在支援業務應用程式和活動,例如電子郵件和文件共用、資料庫管理和網頁瀏覽。
由於擁有大量領先的科技公司、尖端的計算技術以及大量的研發投資,北美在估計期間佔據了最大的市場佔有率。北美目前佔該行業的大部分。尤其美國,在全球工業半導體市場中扮演重要角色。該國的主要企業和政府機構正在大力投資這項技術。 2021年,北美市場將佔全球資料處理單元市場佔有率的近五分之二,成為佔有率最大的市場。
預計歐洲在預測期內將出現獲利成長。 IT基礎設施的擴張、資料中心領域的擴張以及對人工智慧和機器學習應用需求的增加預計都將促進亞太地區的快速成長。通訊、汽車和醫療保健產業的發展也導致了對 DPU 的大量需求。全國範圍內,各大公司和政府部門都在大力投資這項技術。
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.