A data processing unit is a channel controller, a programmable specialized electronic circuit with hardware acceleration of data processing for data-centric computing. The data is transmitted to and from the component as multiplexed packets of information. A DPU generally contains a CPU, NIC and programmable data acceleration engines. This allows DPUs to have the generality and the programmability of central processing units while being specialized to operate efficiently on networking packets, storage requests or analytics requests. Organizations can implement DPUs with field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), or proprietary systems on a chip (SOCs). These devices accelerate a number of tasks including network and storage functions concerned with data protection, security, and encryption as well as data footprint optimization and high availability, further fueling the market growth.
The data processing unit market is segmented on the basis of type, data center type, end-user, and region. By type, the market is divided into ASIC-based, FPGA-based and SOC based. By data center type, it is divided into colocation, hyperscale, edge and others. By application, it is segmented into BFSI, IT & telecom, government, energy & utilities and others.
Region wise, the data processing unit market trends are analyzed across North America (the U. S., Canada), Europe (UK, Germany, France, Italy, Spain and rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and rest of Asia-Pacific) and LAMEA (Latin America, the Middle East, and Africa). Most of the companies operating in the market are based out of North America.
Moreover, owing to the presence of large number of data centers is creating lucrative opportunities for the market growth in the North America region. Major organizations and government institutions in the country are intensely putting resources into the technology.
Key players operating in the market include data processing unit market players, such as Intel Corporation, Marvell Technology, NVIDIA Corporation (Mellanox Technologies), Kalray, Broadcom Corp, Advanced Micro Devices, Inc. (Pensando Systems Inc. ), Fungible, inc. and Resnics /Yisixin Technology (Shanghai) Co., Ltd.
The data processing unit market is segmented on the basis of type, data center type, end-user, and region. By type, the market is divided into ASIC-based, FPGA-based and SOC based. By data center type, it is divided into colocation, hyperscale, edge and others. By application, it is segmented into BFSI, IT & telecom, government, energy & utilities and others.
Region wise, the data processing unit market trends are analyzed across North America (the U. S., Canada), Europe (UK, Germany, France, Italy, Spain and rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and rest of Asia-Pacific) and LAMEA (Latin America, the Middle East, and Africa). Most of the companies operating in the market are based out of North America.
Moreover, owing to the presence of large number of data centers is creating lucrative opportunities for the market growth in the North America region. Major organizations and government institutions in the country are intensely putting resources into the technology.
Key players operating in the market include data processing unit market players, such as Intel Corporation, Marvell Technology, NVIDIA Corporation (Mellanox Technologies), Kalray, Broadcom Corp, Advanced Micro Devices, Inc. (Pensando Systems Inc. ), Fungible, inc. and Resnics /Yisixin Technology (Shanghai) Co., Ltd.
KEY BENEFITS FOR STAKEHOLDERS
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the data processing unit market analysis from 2021 to 2031 to identify the prevailing data processing unit market opportunities.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the data processing unit market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global data processing unit market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Data Center Type
- Colocation
- Hyperscale
- Edge
- Others
By Type
- ASIC-Based
- FPGA-Based
- SOC-Based
By Application
- BFSI
- IT and Telecom
- Government
- Energy and Utilities
- Others
By Region
- North America
- U. S.
- Canada
- Europe
- Rest Of Europe
- UK
- Germany
- France
- Italy
- Spain
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Rest Of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
Key Market Players
- NVIDIA Corporation (Mellanox Technologies)
- Marvell Technology Inc.
- Fungible, Inc.
- Broadcom Inc.
- Intel Corporation
- kalray
- Resnics /Yisixin Technology (Shanghai) Co., Ltd.
- Advanced Micro Devices, Inc. (Pensando Systems Inc. )
Table of Contents
CHAPTER 1: INTRODUCTION1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings of the study
2.2. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.3. Porter’s five forces analysis
3.4. Top player positioning
3.5. Market dynamics
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
3.6. COVID-19 Impact Analysis on the market
CHAPTER 4: DATA PROCESSING UNIT MARKET, BY TYPE
4.1 Overview
4.1.1 Market size and forecast
4.2 ASIC-Based
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market analysis by country
4.3 FPGA-Based
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market analysis by country
4.4 SOC-Based
4.4.1 Key market trends, growth factors and opportunities
4.4.2 Market size and forecast, by region
4.4.3 Market analysis by country
CHAPTER 5: DATA PROCESSING UNIT MARKET, BY DATA CENTER TYPE
5.1 Overview
5.1.1 Market size and forecast
5.2 Colocation
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market analysis by country
5.3 Hyperscale
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market analysis by country
5.4 Edge
5.4.1 Key market trends, growth factors and opportunities
5.4.2 Market size and forecast, by region
5.4.3 Market analysis by country
5.5 Others
5.5.1 Key market trends, growth factors and opportunities
5.5.2 Market size and forecast, by region
5.5.3 Market analysis by country
CHAPTER 6: DATA PROCESSING UNIT MARKET, BY APPLICATION
6.1 Overview
6.1.1 Market size and forecast
6.2 BFSI
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market analysis by country
6.3 IT and Telecom
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market analysis by country
6.4 Government
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market analysis by country
6.5 Energy and Utilities
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market analysis by country
6.6 Others
6.6.1 Key market trends, growth factors and opportunities
6.6.2 Market size and forecast, by region
6.6.3 Market analysis by country
CHAPTER 7: DATA PROCESSING UNIT MARKET, BY REGION
7.1 Overview
7.1.1 Market size and forecast
7.2 North America
7.2.1 Key trends and opportunities
7.2.2 North America Market size and forecast, by Type
7.2.3 North America Market size and forecast, by Data Center Type
7.2.4 North America Market size and forecast, by Application
7.2.5 North America Market size and forecast, by country
7.2.5.1 U. S.
7.2.5.1.1 Market size and forecast, by Type
7.2.5.1.2 Market size and forecast, by Data Center Type
7.2.5.1.3 Market size and forecast, by Application
7.2.5.2 Canada
7.2.5.2.1 Market size and forecast, by Type
7.2.5.2.2 Market size and forecast, by Data Center Type
7.2.5.2.3 Market size and forecast, by Application
7.3 Europe
7.3.1 Key trends and opportunities
7.3.2 Europe Market size and forecast, by Type
7.3.3 Europe Market size and forecast, by Data Center Type
7.3.4 Europe Market size and forecast, by Application
7.3.5 Europe Market size and forecast, by country
7.3.5.1 UK
7.3.5.1.1 Market size and forecast, by Type
7.3.5.1.2 Market size and forecast, by Data Center Type
7.3.5.1.3 Market size and forecast, by Application
7.3.5.2 Germany
7.3.5.2.1 Market size and forecast, by Type
7.3.5.2.2 Market size and forecast, by Data Center Type
7.3.5.2.3 Market size and forecast, by Application
7.3.5.3 France
7.3.5.3.1 Market size and forecast, by Type
7.3.5.3.2 Market size and forecast, by Data Center Type
7.3.5.3.3 Market size and forecast, by Application
7.3.5.4 Italy
7.3.5.4.1 Market size and forecast, by Type
7.3.5.4.2 Market size and forecast, by Data Center Type
7.3.5.4.3 Market size and forecast, by Application
7.3.5.5 Spain
7.3.5.5.1 Market size and forecast, by Type
7.3.5.5.2 Market size and forecast, by Data Center Type
7.3.5.5.3 Market size and forecast, by Application
7.3.5.6 Rest of Europe
7.3.5.6.1 Market size and forecast, by Type
7.3.5.6.2 Market size and forecast, by Data Center Type
7.3.5.6.3 Market size and forecast, by Application
7.4 Asia-Pacific
7.4.1 Key trends and opportunities
7.4.2 Asia-Pacific Market size and forecast, by Type
7.4.3 Asia-Pacific Market size and forecast, by Data Center Type
7.4.4 Asia-Pacific Market size and forecast, by Application
7.4.5 Asia-Pacific Market size and forecast, by country
7.4.5.1 China
7.4.5.1.1 Market size and forecast, by Type
7.4.5.1.2 Market size and forecast, by Data Center Type
7.4.5.1.3 Market size and forecast, by Application
7.4.5.2 Japan
7.4.5.2.1 Market size and forecast, by Type
7.4.5.2.2 Market size and forecast, by Data Center Type
7.4.5.2.3 Market size and forecast, by Application
7.4.5.3 India
7.4.5.3.1 Market size and forecast, by Type
7.4.5.3.2 Market size and forecast, by Data Center Type
7.4.5.3.3 Market size and forecast, by Application
7.4.5.4 South Korea
7.4.5.4.1 Market size and forecast, by Type
7.4.5.4.2 Market size and forecast, by Data Center Type
7.4.5.4.3 Market size and forecast, by Application
7.4.5.5 Rest of Asia-Pacific
7.4.5.5.1 Market size and forecast, by Type
7.4.5.5.2 Market size and forecast, by Data Center Type
7.4.5.5.3 Market size and forecast, by Application
7.5 LAMEA
7.5.1 Key trends and opportunities
7.5.2 LAMEA Market size and forecast, by Type
7.5.3 LAMEA Market size and forecast, by Data Center Type
7.5.4 LAMEA Market size and forecast, by Application
7.5.5 LAMEA Market size and forecast, by country
7.5.5.1 Latin America
7.5.5.1.1 Market size and forecast, by Type
7.5.5.1.2 Market size and forecast, by Data Center Type
7.5.5.1.3 Market size and forecast, by Application
7.5.5.2 Middle East
7.5.5.2.1 Market size and forecast, by Type
7.5.5.2.2 Market size and forecast, by Data Center Type
7.5.5.2.3 Market size and forecast, by Application
7.5.5.3 Africa
7.5.5.3.1 Market size and forecast, by Type
7.5.5.3.2 Market size and forecast, by Data Center Type
7.5.5.3.3 Market size and forecast, by Application
CHAPTER 8: COMPANY LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product Mapping of Top 10 Players
8.4. Competitive Dashboard
8.5. Competitive Heatmap
8.6. Key developments
CHAPTER 9: COMPANY PROFILES
9.1 NVIDIA Corporation (Mellanox Technologies)
9.1.1 Company overview
9.1.2 Company snapshot
9.1.3 Operating business segments
9.1.4 Product portfolio
9.1.5 Business performance
9.1.6 Key strategic moves and developments
9.2 Marvell Technology Inc.
9.2.1 Company overview
9.2.2 Company snapshot
9.2.3 Operating business segments
9.2.4 Product portfolio
9.2.5 Business performance
9.2.6 Key strategic moves and developments
9.3 Fungible, Inc.
9.3.1 Company overview
9.3.2 Company snapshot
9.3.3 Operating business segments
9.3.4 Product portfolio
9.3.5 Business performance
9.3.6 Key strategic moves and developments
9.4 Broadcom Inc.
9.4.1 Company overview
9.4.2 Company snapshot
9.4.3 Operating business segments
9.4.4 Product portfolio
9.4.5 Business performance
9.4.6 Key strategic moves and developments
9.5 Intel Corporation
9.5.1 Company overview
9.5.2 Company snapshot
9.5.3 Operating business segments
9.5.4 Product portfolio
9.5.5 Business performance
9.5.6 Key strategic moves and developments
9.6 kalray
9.6.1 Company overview
9.6.2 Company snapshot
9.6.3 Operating business segments
9.6.4 Product portfolio
9.6.5 Business performance
9.6.6 Key strategic moves and developments
9.7 Resnics /Yisixin Technology (Shanghai) Co., Ltd.
9.7.1 Company overview
9.7.2 Company snapshot
9.7.3 Operating business segments
9.7.4 Product portfolio
9.7.5 Business performance
9.7.6 Key strategic moves and developments
9.8 Advanced Micro Devices, Inc. (Pensando Systems Inc.)
9.8.1 Company overview
9.8.2 Company snapshot
9.8.3 Operating business segments
9.8.4 Product portfolio
9.8.5 Business performance
9.8.6 Key strategic moves and developments
Executive Summary
According to this report, titled, 'Data Processing Unit Market', the data processing unit market was valued at $553.96 million in 2021, and is estimated to reach $5.5 billion by 2031, growing at a CAGR of 26.9% from 2022 to 2031.A data processing unit (DPU) is a programmable processor that helps move data around these data centers. DPUs enable more efficient storage and free up the CPU to focus on processing. The DPU offloads networking and communication tasks from the CPU. It combines processing cores with hardware accelerator blocks and a high-performance network interface to handle data-centric workloads. This enables the DPU to make sure the right data goes to the right place in the right format quickly.
A DPU processor is system on a chip (SOC) that combines three key elements. First, data processing units typically have a multi-core CPU that is software programmable. The second element is a high-performance network interface that enables the DPU to parse, process, and efficiently move data through the network. The third element is a rich set of flexible, programmable acceleration engines that offload network and storage functions from the CPU to the DPU. DPUs are often integrated with smart network interface cards (NICs) offering powerful network data processing.
According to data processing unit market analysis, the FPGA-based segment was the highest contributor in the market in 2021. The colocation and hyperscale segments collectively accounted for around 76.7% market share in 2021. The outbreak of the COVID-19 has significantly impacted the growth of the data processing unit market size.
Moreover, the rapid increase in demand for DPU-based smart NICs to reduce overloads on CPU cores in data centers have driven the data processing unit market growth. The key market players profiled in the report include Intel Corporation, Marvell Technology, NVIDIA Corporation (Mellanox Technologies), Kalray, Broadcom Corp, Advanced Micro Devices, Inc. (Pensando Systems Inc.), Fungible, Inc. and Resnics /Yisixin Technology (Shanghai) Co., Ltd. Market players have adopted various strategies, such as product launch, collaboration & partnership, joint venture, and acquisition, to expand their foothold in the data processing unit market.
Key Findings of the Study
In 2021, the hyperscale segment was the major revenue contributor to the data processing unit industry, and is projected to grow at a notable CAGR of 24.94% during the forecast period.The FPGA-based and SOC-based segments together accounted for around 84.5% of the data processing unit market trends in 2021.
The IT and telecom segment is projected to growth at a CAGR of 28.91% during the forecast period.
North America contributed for the major data processing unit market share, accounting for more than 39.2% share in 2021.
Key players profiled in the report include Intel Corporation, Marvell Technology, NVIDIA Corporation (Mellanox Technologies), Kalray, Broadcom Corp, Advanced Micro Devices, Inc. (Pensando Systems Inc.), Fungible, inc. and Resnics /Yisixin Technology (Shanghai) Co., Ltd. Market players have adopted various strategies, such as product launch, collaboration& partnership, joint venture, and acquisition to expand their foothold in the market.
Companies Mentioned
- Nvidia Corporation (Mellanox Technologies)
- Marvell Technology Inc.
- Fungible, Inc.
- Broadcom Inc.
- Intel Corporation
- Kalray
- Resnics /Yisixin Technology (Shanghai) Co. Ltd.
- Advanced Micro Devices, Inc. (Pensando Systems Inc.)
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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