Global Data Center Accelerator Market Size to Reach USD 130.31 Billion in 2030 | Emergen Research

Growing focus on parallel computing in Artificial Intelligence (AI) data centers is a key factor driving data center accelerator market revenue growth

Vancouver, Sept. 13, 2023 (GLOBE NEWSWIRE) — The global Data center accelerator market size was USD 17.89 Billion in 2021 and is expected to register a revenue CAGR of 25.0% during the forecast period, according to latest analysis by Emergen Research. Growing focus on parallel computing in Artificial Intelligence (AI) data centers, rising number of data center facilities globally, increasing data traffic, increasing use of deep learning technology in big data analytics, and rising demand for consumer-driven data and application performance enhancement are some of the key factors driving market revenue growth.

Operators are rapidly exploring and investing in Research & Development (R&D) for cutting-edge solutions to improve various data-driven operations, such as deep learning and Natural Language Processing (NLP), since data centers are overflowing with ever-increasingly massive amounts of data. In addition, demand for data center accelerators is rising because of growing cloud computing and cloud-based services, as well as an increase in number of data centers housing numerous servers and significant quantity of storage. Moreover, increasing growth of the market is mostly owing to rising demand for high-performance hardware accelerators in data center processors used in applications including deep learning, object recognition and identification, picture classification, and NLP. On 28 June 2021, Qualcomm Technologies, Inc. introduced a new unit accelerator card, Qualcomm 5G DU X100 Accelerator Card in its 5G RAN Platforms line. Qualcomm 5G DU X100 is intended to help operators and infrastructure providers quickly to realize benefits of 5G’s high performance, low latency, and power efficiency, while also fastening cellular ecosystem’s shift towards virtualized radio access networks. Furthermore, high demand for handling rising data and complex computations by data centers with reduced power as well as comparatively higher performance is also driving revenue growth of the market.

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However, factors such as high electricity consumption by data centers in addition to complexity and unreliability of AI mechanisms, are expected to provide some restraints for market growth. Moreover, requirement for highly specialized infrastructure can lead to overheating and faulty conditions if unmonitored.

Scope of Research

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Major Companies and Competitive Landscape

The global data center accelerator market is consolidated, with many large and medium-sized players accounting for majority of market revenue. Major players are deploying various strategies, entering into mergers & acquisitions, strategic agreements & contracts, developing, testing, and introducing more effective data center accelerator solutions. Some major players included in the global data center accelerator market report are:

• NVIDIA Corporation
• Advanced Micro Devices, Inc.
• Intel Corporation
• Micron Technology, Inc.
• Marvell
• Qualcomm Technologies, Inc.
• IBM
• Google
• Fujitsu
• Dell, Inc.

Strategic Development

• On 13 October 2022, Intel and Google Cloud jointly launched E2000 processor offloads tasks to accelerate infrastructure. The E2000 chip, codenamed Mount Evans, is an Infrastructure Processing Unit (IPU) that handles network processing while CPU handles computation. Encryption offers a layer of protection between various consumers that use a cloud service. Although, IPU chip was developed in collaboration with Google, Intel is allowed to sell it to other clients. Google has integrated it into C3 VM, a new virtual machine solution powered by Intel’s fourth-generation Xeon CPUs.

• On 20 November 2021, Xilinx launched latest data-center accelerator, Alveo U55C. Alveo U55C data-center accelerator from Xilinx is smaller, has more memory, and consumes less power than its predecessor, making it more suitable for high-performance computing. Alveo U55C, which is powered by FPGA, is comparable to its predecessor, Alveo U280. However, U280 contains 8GB of High Bandwidth Memory Second Generation (HBM2) memory and 16GB of DDR4 DRAM, whilst U55C has 16GB of HBM2 memory but no DDR4. HBM2 memory is significantly quicker and more expensive than DDR4 memory. Xilinx’s latest addition can boost performance while significantly reducing power and space by switching to pure HBM2 and deleting the DDR4.

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Some Key Highlights From the Report

• The Field Programmable Gate Array (FPGA) segment is expected to grow at the largest CAGR during the forecast period. FPGAs are programmable hardware fabric-enabled integrated circuits. Provision of features of both processor-based systems and ASICs and cost-effective solutions in comparison to ASIC are a few of the key factors driving revenue growth of this segment. FPGAs offer a combination of programmability, speed, and flexibility, which leads to performance savings by minimizing the cost and complexity of developing Application-Specific Integrated Circuits (ASICs). Furthermore, FPGAs’ low latency and predictable latency are also expected to drive growth of this segment.
• The High-Performance Computing (HPC) segment accounted for a significant revenue share in 2021. Majority of HPC customers are large industrial groups and research institutions, with a focus on simulation-heavy sectors such as automobile, energy (including nuclear and oil & gas), aerospace, and pharmaceuticals. HPC requires more electricity than traditional PCs with increased server density, more powerful CPUs, and greater cooling needs. Organizations may leverage parallel processing to execute cutting-edge applications, such as AI and data analytics owing to high-performance computing, which is one of the major factors driving growth of this segment.
• The deep learning training segment accounted for a significant revenue share in 2021. Neural networks are used by deep learning to carry out tasks such as machine vision, speech recognition, and natural language processing. To infer meaning from new data, trained models are frequently used across various platforms including mobile phones. An AI accelerator is a high-performance parallel computation machine optimized for efficient processing of AI workloads such as neural networks. Massively scalable computational architectures are required for data centers, especially hyper-scale data centers.
• The Asia Pacific market is expected to register a significant growth rate over the forecast period. Increasing development of data-hungry and data-generating technologies, such as Machine Learning (ML) and IoT, deployment of 5G, growing OTT media services, as well as rising number of SMEs, are few of the major factors driving revenue growth in this region.  Industrial IoT (IIoT) and Industry 4.0 are leading to heavy consumption of data due to rapid adoption of industrial automation especially in the manufacturing sector with increasing penetration of digitization.
• Xilinx’s latest addition can boost performance while significantly reducing power and space by switching to pure HBM2 and deleting the DDR4. 

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Emergen Research has segmented global data center accelerator market based on processor type, type, application, and region:

• Processor Type Outlook (Revenue, USD Billion; 2019-2030)
  • Graphics Processing Unit (GPU)
  • Central Processing Unit (CPU)
  • Field Programmable Gate Array (FPGA)
  • Application Specific Integrated Circuit (ASIC)
• Type Outlook (Revenue, USD Billion; 2019-2030)
  • Cloud data center
  • High-Performance Computing (HPC) data center
• Application Outlook (Revenue, USD Billion; 2019-2030)
  • Deep learning training
  • Enterprise inference
  • Public cloud inference
• Regional Outlook (Revenue, USD Billion; 2019-2030)
  • North America
    1. U.S.
    2. Canada
    3. Mexico
  • Europe
    1. Germany
    2. France
    3. UK
    4. Italy
    5. Spain
    6. Benelux
    7. Rest of Europe
  • Asia Pacific
    1. China
    2. India
    3. Japan
    4. South Korea
    5. Rest of APAC
  • Latin America
    1. Brazil
    2. Rest of LATAM
  • Middle East & Africa
    1. Saudi Arabia
    2. UAE
    3. South Africa
    4. Turkey
    5. Rest of Middle East & Africa

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