Data Processing Unit Market
Data Processing Unit Market Forecasts to 2030 - Global Analysis By Component (Software and Hardware), Type (Application-Specific Integrated Circuit (ASIC), System-on-a-Chip(SOC)-Based, Field-Programmable Gate Array (FPGA ), Graphics Processing Unit (GPU) and Central Processing Unit (CPU)), Data Center Type, Product Type, Application, End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $700.43 BN |
|
Projected Year Value (2030) |
US $3,711.93 BN |
|
CAGR (2023 - 2030) |
26.9% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Data Processing Unit Market is accounted for $ 700.43 billion in 2023 and is expected to reach $ 3,711.93 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.
Market Dynamics:
Driver:
Rising data centre workloads
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.
Restraint:
Lack of awareness about data processing systems
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.
Opportunity:
Growing demand for data processing in edge computing applications
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.
Threat:
Increasing advanced persistent threat (APT)
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
Covid-19 Impact
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 expected to be the largest during the forecast period
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 expected to have the highest CAGR during the forecast period
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.
Region with largest share:
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.
Region with highest CAGR:
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.
Key players in the market
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.
Key Developments:
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.
Components Covered:
• Software
• Hardware
Types Covered:
• Application-Specific Integrated Circuit (ASIC)
• System-on-a-Chip(SOC)-Based
• Field-Programmable Gate Array (FPGA)
• Graphics Processing Unit (GPU)
• Central Processing Unit (CPU)
Data Center Types Covered:
• Colocation
• Edge
• Hyperscale
• Other Data Center Types
Product Types Covered:
• 100G
• 25G
• Other Product Types
Applications Covered:
• Networking
• Security
• Data Analytics
• Storage
• Edge Computing
• Artificial Intelligence (AI) and Machine Learning (ML)
• Other Applications
Regions Covered:
• Banking, Financial Services, and Insurance (BFSI)
• IT and Telecom
• Energy and Utilities
• Edge Computing
• Smart Driving
• Data Centres
• Telecommunications
• Healthcare
• Automotive
• Enterprises
• Government
• Cloud Service Providers
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Product Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Data Processing Unit Market, By Component
5.1 Introduction
5.2 Software
5.3 Hardware
6 Global Data Processing Unit Market, By Type
6.1 Introduction
6.2 Application-Specific Integrated Circuit (ASIC)
6.3 System-on-a-Chip(SOC)-Based
6.4 Field-Programmable Gate Array (FPGA)
6.5 Graphics Processing Unit (GPU)
6.6 Central Processing Unit (CPU)
7 Global Data Processing Unit Market, By Data Center Type
7.1 Introduction
7.2 Colocation
7.3 Edge
7.4 Hyperscale
7.5 Other Data Center Types
8 Global Data Processing Unit Market, By Product Type
8.1 Introduction
8.2 100G
8.3 25G
8.4 Other Product Types
9 Global Data Processing Unit Market, By Application
9.1 Introduction
9.2 Networking
9.3 Security
9.4 Data Analytics
9.5 Storage
9.6 Edge Computing
9.7 Artificial Intelligence (AI) and Machine Learning (ML)
9.8 Other Applications
10 Global Data Processing Unit Market, By End Users
10.1 Introduction
10.2 Banking, Financial Services, and Insurance (BFSI)
10.3 IT and Telecom
10.4 Energy and Utilities
10.5 Edge Computing
10.6 Smart Driving
10.7 Data Centres
10.9 Telecommunications
10.10 Healthcare
10.11 Automotive
10.12 Enterprises
10.13 Government
10.14 Cloud Service Providers
10.15 Other End Users
11 Global Data Processing Unit Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa
12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies
13 Company Profiling
13.1 Fungible, Inc.
13.2 Intel Corporation
13.3 kalray
13.4 Resnics /Yisixin Technology (Shanghai) Co., Ltd.
13.5 Marvell Technology Inc.
13.6 Advanced Micro Devices, Inc.
13.7 Broadcom Inc.
13.8 NVIDIA Corporation
13.9 Jaguarmicro
13.10 Yusur
List of Tables
1 Global Data Processing Unit Market Outlook, By By Region (2021-2030) ($MN)
2 Global Data Processing Unit Market Outlook, By Component (2021-2030) ($MN)
3 Global Data Processing Unit Market Outlook, By Software (2021-2030) ($MN)
4 Global Data Processing Unit Market Outlook, By Hardware (2021-2030) ($MN)
5 Global Data Processing Unit Market Outlook, By Type (2021-2030) ($MN)
6 Global Data Processing Unit Market Outlook, By Application-Specific Integrated Circuit (ASIC) (2021-2030) ($MN)
7 Global Data Processing Unit Market Outlook, By System-on-a-Chip(SOC)-Based (2021-2030) ($MN)
8 Global Data Processing Unit Market Outlook, By Field-Programmable Gate Array (FPGA) (2021-2030) ($MN)
9 Global Data Processing Unit Market Outlook, By Graphics Processing Unit (GPU) (2021-2030) ($MN)
10 Global Data Processing Unit Market Outlook, By Central Processing Unit (CPU) (2021-2030) ($MN)
11 Global Data Processing Unit Market Outlook, By Data Center Type (2021-2030) ($MN)
12 Global Data Processing Unit Market Outlook, By Colocation (2021-2030) ($MN)
13 Global Data Processing Unit Market Outlook, By Edge (2021-2030) ($MN)
14 Global Data Processing Unit Market Outlook, By Hyperscale (2021-2030) ($MN)
15 Global Data Processing Unit Market Outlook, By Other Data Center Types (2021-2030) ($MN)
16 Global Data Processing Unit Market Outlook, By Product Type (2021-2030) ($MN)
17 Global Data Processing Unit Market Outlook, By 100G (2021-2030) ($MN)
18 Global Data Processing Unit Market Outlook, By 25G (2021-2030) ($MN)
19 Global Data Processing Unit Market Outlook, By Other Product Types (2021-2030) ($MN)
20 Global Data Processing Unit Market Outlook, By Application (2021-2030) ($MN)
21 Global Data Processing Unit Market Outlook, By Networking (2021-2030) ($MN)
22 Global Data Processing Unit Market Outlook, By Security (2021-2030) ($MN)
23 Global Data Processing Unit Market Outlook, By Data Analytics (2021-2030) ($MN)
24 Global Data Processing Unit Market Outlook, By Storage (2021-2030) ($MN)
25 Global Data Processing Unit Market Outlook, By Edge Computing (2021-2030) ($MN)
26 Global Data Processing Unit Market Outlook, By Artificial Intelligence (AI) and Machine Learning (ML) (2021-2030) ($MN)
27 Global Data Processing Unit Market Outlook, By Other Applications (2021-2030) ($MN)
28 Global Data Processing Unit Market Outlook, By End Users (2021-2030) ($MN)
29 Global Data Processing Unit Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2021-2030) ($MN)
30 Global Data Processing Unit Market Outlook, By IT and Telecom (2021-2030) ($MN)
31 Global Data Processing Unit Market Outlook, By Energy and Utilities (2021-2030) ($MN)
32 Global Data Processing Unit Market Outlook, By Edge Computing (2021-2030) ($MN)
33 Global Data Processing Unit Market Outlook, By Smart Driving (2021-2030) ($MN)
34 Global Data Processing Unit Market Outlook, By Data Centres (2021-2030) ($MN)
35 Global Data Processing Unit Market Outlook, By Telecommunications (2021-2030) ($MN)
36 Global Data Processing Unit Market Outlook, By Healthcare (2021-2030) ($MN)
37 Global Data Processing Unit Market Outlook, By Automotive (2021-2030) ($MN)
38 Global Data Processing Unit Market Outlook, By Enterprises (2021-2030) ($MN)
39 Global Data Processing Unit Market Outlook, By Government (2021-2030) ($MN)
40 Global Data Processing Unit Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
41 Global Data Processing Unit Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
Figure 1 Global Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 2 North America Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 3 US Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 4 Canada Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 5 Mexico Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 6 Europe Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 7 Germany Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 8 UK Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 9 Italy Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 10 France Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 11 Spain Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 12 Rest of Europe Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 13 Asia Pacific Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 14 Japan Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 15 China Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 16 India Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 17 Australia Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 18 New Zealand Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 19 South Korea Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 20 Rest of Asia Pacific Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 21 South America Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 22 Argentina Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 23 Brazil Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 24 Chile Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 25 Rest of South America Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 26 Middle East & Africa Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 27 Saudi Arabia Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 28 UAE Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 29 Qatar Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 30 South Africa Data Processing Unit Market Outlook (2021-2030) ($MN)
Figure 31 Rest of Middle East & Africa Data Processing Unit Market Outlook (2021-2030) ($MN)
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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