PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1359044
PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1359044
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.