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Data Processing Unit Market

Data Processing Unit Market By Device Type (Computer, Tablet, Smartphone, Gaming Console, and Others) and Industry Vertical (Healthcare, IT & Telecommunication, Consumer Electronics, Industrial, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2030

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Sep 2022 | 1556 Views
Author(s) : Vijay Poola
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Data Processing Unit Market Outlook - 2030

The global data processing unit market is experiencing a significant growth and will grow considerably in the next few years. A data processing unit (DPU) is an electrical component that may be programmed to process data streams. The data is sent and received by the component as multiplexed packets of data. The DOCA SDK, which exposes programmable API for the underlying hardware platform, is used to access the DPUs. The DPU from NVIDIA is the new incarnation of Mellanox's SmartNIC. The BlueField-2 DPU is the world's first data center infrastructure on a chip (DCIoC) architecture designed specifically for modern enterprise data centers.

The global data processing unit market is segmented on the basis of device type, industry vertical, and region. Based on device type, the market is divided into computer, tablet, smartphone, gaming console, and others. In terms of industry vertical, the market is categorized into healthcare, it & telecommunication, consumer electronics, industrial, and others. Geographically, the market is analyzed across several regions such as North America, Europe, Asia-Pacific, and Latin America, Middle East & Africa (LAMEA).

Key players operating in the global data processing unit industry include NVIDIA, VMware, Cisco, EMC, Microsoft, Intel, Nutanix, Amazon Web Services Inc., IBM, Teradata, and Salesforce.com Inc. These companies have adopted several strategies such as product launches, partnerships, collaborations, mergers & acquisitions, and joint ventures to strengthen their foothold in the global data processing unit market.

Market Scope and Structure Analysis

Report Metric


 Market Size Available for Years


 Base Year Considered


 Forecast Period


 Forecast Unit

 Value (USD)

 Segments Covered

 Device Type, Industry Vertical, and Region

 Regions Covered

North America (U.S., Canada and Mexico), Europe (Germany, UK, France, Italy and the Rest of Europe), Asia-Pacific (China, Japan, India, South Korea and the Rest of Asia-Pacific), and LAMEA (Latin America, Middle East and Africa)

 Companies Covered

NVIDIA, VMware, Cisco, EMC, Microsoft, Intel, Nutanix, Amazon Web Services Inc., IBM, Teradata,  and Salesforce.com Inc.


COVID-19 Impact Analysis

The COVID-19 pandemic is impacting the society and overall economy across the global. The impact of this outbreak is growing day-by-day as well as affecting the supply chain. It is creating uncertainty in the stock market, falling business confidence, massive slowing of supply chain, and increasing panic among customers. European countries under lockdowns have suffered a major loss of business and revenue due to shutdown of manufacturing units in the region. The impact of the pandemic can be easily observed from the less demand due to lockdown in warehouses, stores, factories etc. which uses data processing unit.

In response of COVID-19's long-term implications, governments are attempting to address the problem by enacting beneficial initiatives and policies such as financial packages, lower interest rates, and tax exemptions. Significant growth in the data processing unit market can be seen during the forecast period once the lockdown will be over and the production rate will come to its previous pace.

Top Impacting Factors

It's easy to understand how having direct access to GPU memory, SSD cache DRAM, or persistent memory modules in a CPU socket would help a data processing unit, or DPU, right away. What we have now are DPUs that are a generation or two away from becoming a reality, but the manufacturer who make DPUs are obviously positioning current products for that future server architecture.

Encryption and decryption of data, IPSEC, and treat detection from edge to cloud as well as increase in the demand for data processing unit for use in wireless and networking equipment, including switches, routers, and secure gateways are some of the key factors, which are driving the market during the forecast period.

Increase in Demand for DPU-Based Smart NICs

Modern workloads and data center architectures put too much networking overhead on the CPU cores, which is one of the most critical reasons why the world needs DPU (Data Processing Unit) based SmartNICs. With speedier networking (up to 200Gb/s per link), the CPU is just wasting too many of its cores classifying, tracking, and guiding network traffic. These pricey CPU cores are intended for general-purpose application processing. Application processing analyzes data and generates results that create actual value.

Compute virtualization exacerbates this problem by increasing server traffic both internally (between VMs or containers) and externally (to other servers or storage). Software-defined storage (SDS), hyperconverged infrastructure (HCI) and big data applications all increase the amount of east-west traffic between servers, whether virtual or physical, and RDMA is frequently used to speed up data transfers between servers.

 The usage of overlay networks, such as VXLAN, NVGRE, or Geneve, which are becoming increasingly common for public and private clouds, complicates the network by introducing layers of encapsulation. Additional packet steering and processing needs are imposed by software-defined networking (SDN), and the CPU is burdened with even more work such as running the SDN controller. Smarter NICs can manage all of this virtualization (SRIOV, RDMA, overlay network traffic encapsulation, and OVS offload) faster, more efficiently, and for less money than traditional CPUs.

Increase in Demand for Virtualizing Storage and The Cloud

Virtualizing software-defined storage, hyperconverged infrastructure, and other cloud resources is an emerging use case for DPU-based SmartNICs. Prior to the virtualization boom, most servers only used local storage, which is inefficient but simple to use—every OS, application, and hypervisor understands how to utilize it. Then came the rise of network storage, which included SAN and NAS, as well as NVMe over Fabrics (NVMe-oF).

However, not every application is SAN-aware out of the box, and some operating systems and hypervisors (such as Windows and VMware) do not currently support NVMe-oF. Virtualizing networked storage–which is more efficient and easier to manage–to look like local storage–which is easier for apps to consume–is something smart NICs can achieve. A DPU-based SmartNIC might even virtualize GPUs (or other neural network processors) so that every server on the network can access as many GPUs as it wants at any time.

Software-defined storage and hyperconverged infrastructure share a similar advantage in that they both use a management layer (often running as a VM or as part of the hypervisor itself) to virtualize and abstract local storage—and the network—to make it available to other servers or clients across the cluster. This is great for quick installations on commodity servers and sharing storage resources, but the layer of management and virtualization consumes a lot of CPU cycles that could be used to run the apps.

The faster the networking and storage devices run, the more CPU must be given to virtualizing these resources, just as it is with regular servers. SmartNICs may also offload a range of SDS and HCI services, such as compression, encryption, deduplication, RAID, and reporting, for freeing up more expensive CPU cores.

Key Segments Covered




  • Computer
  • Tablet
  • Smartphone
  • Gaming Console
  • Others

 Industry Vertical

  • Healthcare
  • IT & Telecommunication
  • Consumer Electronics
  • Industrial
  • Others

Key Benefits of the Report

  • This study presents the analytical depiction of the global data processing unit market share along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the data processing unit market trends.
  • The current market is quantitatively analyzed from 2021 to 2030 to highlight the data processing unit market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.
  • The report provides a detailed data processing unit market analysis based on competitive intensity and how the competition will take shape in the coming years.
  • The report contains data processing unit market forecast from 2021 to 2030, considering 2020 as a base year.
  • The report presents information on the data processing unit market opportunity to track potential regions and country.
  • The data processing unit market outlooks the future scope and estimates the percentage growth.

Questions Answered in the Data Processing Unit Market Research Report

  • Which are the leading players active in the data processing unit market size?
  • What are the detailed impacts of COVID-19 on the data processing unit market?
  • What current trends will influence the data processing unit market in the next few years?
  • What are the driving factors, restraints, and opportunities in the data processing unit market?
  • What future projections would help in taking further strategic steps?

Key Market Segments & Key Market Players

Segments Sub-segments
By Type
  • Advanced data center (SDN)
  • Network function virtualization (NFV)
By Device Type
  • Computer
  • Tablet
  • Smartphone
  • Gaming Console
  • Other
By Industry Vertical
  • Healthcare
  • IT & Telecommunication
  • Consumer Electronics
  • Industrial
  • Other
By Region
  • North America  (U.S., Canada)
  • Europe  (France, Germany, Italy, Spain, UK, Rest of Europe)
  • Asia-Pacific  (China, Japan, India, South Korea, Rest of Asia-Pacific)
  • LAMEA  (Latin America, Middle East, Rest of LAMEA)
Key Market Players NVIDIA, VMware, Cisco, EMC, Microsoft, Intel, Nutanix, Amazon Web Services Inc, IBM, Salesforce.com Inc.

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