Data Center Accelerator Market Size and Share Analysis

Report Code SE 6553
Published in Jul, 2024, By MarketsandMarkets™
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Data Center Accelerator Market Size by Processor (GPU, CPU, ASIC, FPGA), Type (Cloud Data Center, HPC Data Center), Application (Deep Learning Training, Enterprise Inference), End-user (IT & Telecom, Healthcare, Energy) and Region - Global Forecast to 2029

Overview

The global data center accelerator market size was valued at USD 109.9 billion in 2024 and is projected to reach USD 372.9 billion by 2029, growing at a CAGR of 27.7% during the forecast period from 2024 to 2029. The Growing demand for cloud-based services and surging adoption of deep learning technology in big data analytics are attributed to the ever-increasing demand for data center accelerator system industry.

Attractive Opportunities in the Data Center Accelerator Market

North America

The North America market can be attributed to attributed to growing emphasis on building energy-efficient and sustainable data centers.

The growth of the market can be attributed to the growing demand for GPU processor in data center.

The growth of this market can be attributed to the growing data volumes and pressing need for fast and efficient data processing

Organic growth strategies are expected to create lucrative growth opportunities for the providers of data center accelerators in the next five years.

The market growth is contributed by the data volumes and pressing need for fast and efficient data processing

Global Data Center Accelerator Market Dynamics

Driver: Increasing data volumes and pressing need for fast and efficient data processing

The exponential growth in data volume is significantly facilitating the development and adoption of data center accelerators, such as graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs).These accelerators are designed to handle specialized and intensive computational tasks more efficiently than traditional central processing units (CPUs). The immense volume of data generated by social media platforms, IoT devices, online transactions, video streaming, and various other sources necessitates the processing power that these accelerators provide.The sheer volume and complexity of data require robust computational power to perform real-time data analysis, machine learning (ML), and artificial intelligence (AI) tasks. GPUs, for instance, are highly effective in parallel processing, which is essential for training deep learning (DL) models.This parallelism allows for faster processing of large datasets, leading to quicker insights and decision-making capabilities. As AI and ML applications become more prevalent, the demand for GPUs in data centers continues to rise, driving advancements in GPU technology and their integration into data center infrastructures.Additionally, the need for low latency and high-throughput data processing in modern applications is another critical factor. Real-time applications such as autonomous vehicles, financial trading, and healthcare diagnostics depend on rapid data processing and immediate response times.FPGAs and ASICs are particularly designed for real-time applications as they can be customized for specific tasks and provide lower latency and higher efficiency than general-purpose CPUs. These specialized hardware solutions enable data centers to meet the demands of modern applications and services by providing high throughput, minimal latency, scalability, and energy efficiency.Moreover, the advent of edge computing, which aims to bring computation and data storage closer to the location where it is needed, further drives the need for efficient data center accelerators. With the rise in data generation at the edge, from smart devices and sensors, there is a growing need for local data processing to minimize latency and bandwidth usage. Data center accelerators are key in enabling powerful computation capabilities within smaller, localized data centers or even on-the-edge devices themselves.

Restraint: Premium pricing of accelerators

The growing use of AI in different industries has raised consumer expectations of AI technologies. However, the non-availability of affordable and energy-efficient hardware products, especially computing hardware, is slowing down the development of dedicated AI hardware, including deep learning accelerators.Manufacturers of accelerators many times unable to meet the demand due to the high complexity and cost of producing these specialized chips. Limited supply relative to demand can drive up prices, especially during periods of high demand for AI and HPC applications.The increasing adoption of AI across industries, coupled with the growing need for high-performance computing solutions, drives the demand for accelerators. This demand-side pressure allows manufacturers to maintain premium pricing.Various AI technologies built to date have failed to make a larger impact on the AI market. Owing to the high cost of data center accelerators from NVIDIA and Tesla companies, most data center manufacturers are reluctant to adopt them. For cloud server inference applications, numerous FPGAs are developed to enhance security and fast computing; however, technical constraints and the high cost of reliable mechanical devices are curbing data center accelerator adoption.Non-availability of energy-efficient hardware is a major constraint impeding the growth of the AI market. Numerous hardware manufacturing companies are working to create AI chips that can mimic the functions of the human brain and execute tasks in the cloud. However, recent advancements have highlighted the substantial power consumption of these AI chips, ranging between 50 and 75 watts. This puts them at risk of generating significant heat during prolonged use in AI applications.

 

Opportunity: Proliferation of MLaaS offerings

Machine learning is a subset of artificial intelligence. These algorithms are useful in many applications designed to eliminate human tasks and work independently. Deep machine learning is used to examine massive datasets, identify patterns, and outline the human interface based on the data. Data centers are equipped with sensors to filter out and provide historical data. Many research centers apply ML and AI to their historical data to improve efficiency and productivity.The increasing demand for AI has led to a rise in the number of companies offering machine learning for cloud services. As a result, the adoption of cloud-based technology is increasing, which, in turn, is creating growth opportunities for data center accelerator market players.Deep learning is projected to witness high demand, and machine learning-powered systems can contribute to predictive and preventive maintenance. These systems can enhance cooling efficiency, improve energy efficiency, and control temperature and cooling systems, thereby optimizing energy consumption. This is particularly important as electricity costs are crucial for data center infrastructures.Machine learning can also be used to monitor network congestions, server performance, and disk utilization and help detect and envisage data outages. Thus, the machine learning revolution can enhance data center infrastructure and facilitate more intelligent and automated data management.Machine Learning as a Service (MLaaS) refers to a collection of cloud-based tools designed to assist data scientists and data engineers in their everyday work, similar to how cloud-based office suites have transformed office environments. These MLaaS tools facilitate collaboration, version control, parallelization, and other processes that would otherwise be cumbersome.

Challenge: Unreliability of AI algorithms

AI is implemented through machine learning using a computer to run specific software that can be trained. Machine learning can help systems process data with the help of algorithms and identify certain features from that dataset. As AI applications grow increasingly complex and data-intensive, the performance and accuracy of AI models become critical.However, inconsistencies in algorithmic predictions can lead to inefficiencies and errors, undermining the reliability of data center operations. These issues are exacerbated by the diverse and dynamic nature of data sets, which can further impact the stability of AI-driven processes. Consequently, ensuring robust and dependable AI algorithms is essential for the effective deployment of accelerators in data centers, necessitating ongoing advancements in algorithmic development and validation to maintain operational integrity and trustworthiness.

Global Data Center Accelerator Market Ecosystem Analysis

Prominent companies in this market include well-established, financially stable data center accelerator systems providers such as NVIDIA Corporation (US), Advanced Micro Devices, Inc (US), Intel Corporation (US), Alphabet Inc. (US), Qualcomm Technology, Inc. (US). These companies have been operating in the market for several years and possess a diversified product portfolio and strong global sales and marketing networks. Along with the well-established companies, there are a large number of small and medium companies operating in this market, such as Graphcore (UK), and SambaNova Systems, Inc. (US)

 

By application, enterprise inference segment is expected to grow with the highest CAGR from 2024 to 2029.

The enterprise inference segment is expected to record the highest CAGR of 45.8% during the forecast period. The growth of the segment can be attributed to the integration of AI and ML data processing capabilities, allowing enterprises to analyze large datasets more efficiently and accurately. The adoption of cloud computing also plays a crucial role by providing a scalable and flexible infrastructure for data storage and analysis. Additionally, advancements in big data analytics tools enable more sophisticated and nuanced interpretations of data.

By end-user, healthcare segment is expected to grow with the highest CAGR in 2029.

The healthcare segment is expected to exhibit the highest CAGR of 31.8% during the forecast. The exponential growth in healthcare data, driven by electronic health records (EHRs), medical imaging, genomic data, and wearable devices, necessitates advanced computational power for efficient processing and analysis. Also, the rise of artificial intelligence (AI) and machine learning (ML) applications in healthcare, such as predictive analytics, personalized medicine, and diagnostic imaging, requires high-performance computing infrastructure to train complex models and deliver real-time insights.

North America region holds the largest share of the Data Center Accelerator Market.

In 2029, The data center accelerator market in Asia Pacific is expected to grow at the highest CAGR. The growing trend of cloud computing has radically increased the economic impact of data center investments made by leading service providers such as Amazon.com, Inc. (US), Meta Platforms, Inc. (US), Google LLC (US), and Microsoft Corporation (US). The competition for data center projects has increased dramatically in North America. North American enterprises and research institutions are at the forefront of AI and machine learning research and applications.

 
 

Recent Developments of Data Center Accelerator Market industry

  • In June 2024, AMD introduced next generation "Zen 5" Ryzen processors, which are designed to power advanced AI experiences. The Ryzen AI 300 Series processors feature the world's most powerful Neural Processing Unit (NPU) for next-gen AI PCs..
  • In May 2024, NVIDIA Corporation collaborated with Microsoft to help developers build and deploy AI applications faster by delivering new optimizations and integrations for Windows developers.

Key Market Players

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Scope of the Report

Report Attribute Details
Estimated Market Size USD 109.9 billion in 2024
Projected Market Size USD 372.9 billion by 2029
Growth Rate CAGR of 27.7%
Data Center Accelerator Market Size Availability for Years 2020–2029
Base Year 2023
Forecast Period 2024–2029
Forecast Units Value (USD Million/Billion)
Segments Covered By processor, type, application, end-user, and region
Geographies Covered North America, Europe, Asia Pacific, and RoW
Companies Covered NVIDIA Corporation (US), Advanced Micro Devices, Inc (US), Intel Corporation (US), Alphabet Inc. (US), Qualcomm Technology, Inc. (US), Micron Technology, Inc. (US), IBM Corporation (US), Marvell (US), Achronix Semiconductor Corporation (US), Dell Inc. (US

 

Key Questions Addressed by the Report

Which are the major companies in the data center accelerator market? What are their major strategies?
The major companies in the data center accelerator market are NVIDIA, AMD, Intel, Alphabet, Qualcomm, Micron, IBM, Marvell, Achronix, and Dell. Their major strategies include product launches and developments.
What is a data center accelerator?
A data center accelerator is a hardware component that boosts the performance of specific tasks within a data center, helping to handle massive amounts of data more efficiently.
Who are the winners in the global data center accelerator market?
Companies such as NVIDIA, AMD, Intel, Alphabet, Qualcomm are the winners in the market. These companies are adopting inorganic growth strategies to strengthen their global market position and customer base.
What are the drivers and opportunities for the data center accelerator market?
The key driver is the increasing data volumes and the need for faster data processing. The emergence of FPGA-based accelerators presents an opportunity for growth in the market.
What are the restraints and challenges for the data center accelerator market?
The major restraints and challenges include the premium pricing of accelerators and the unreliability of AI algorithms.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
23
RESEARCH METHODOLOGY
28
EXECUTIVE SUMMARY
42
PREMIUM INSIGHTS
46
MARKET OVERVIEW
50
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing data volumes and pressing need for fast and efficient data processing
    - Growing demand for cloud-based services
    - Rising focus on parallel computing in AI data centers
    - Surging adoption of deep learning technology in big data analytics
    - Increasing demand for data center accelerators from enterprises and researchers
    RESTRAINTS
    - Premium pricing of accelerators
    - Shortage of AI hardware experts
    - Need for highly specialized infrastructure
    OPPORTUNITIES
    - Emergence of FPGA-based accelerators
    - Proliferation of MLaaS offerings
    CHALLENGES
    - Unreliability of AI algorithms
    - Complex AI mechanisms
    - High energy consumption by data centers
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY GPU
    AVERAGE SELLING PRICE TREND, BY REGION
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 ECOSYSTEM ANALYSIS
  • 5.7 INVESTMENT AND FUNDING SCENARIO
  • 5.8 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Tensor processing unit (TPU)
    COMPLEMENTARY TECHNOLOGIES
    - High-bandwidth memory (HBM)
    ADJACENT TECHNOLOGIES
    - Artificial intelligence (AI)
    - Edge computing
  • 5.9 PATENT ANALYSIS
  • 5.10 TRADE ANALYSIS
    IMPORT DATA (HS CODE 847330)
    EXPORT DATA (HS CODE 847330)
  • 5.11 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.12 CASE STUDY ANALYSIS
    NVIDIA AND OAK RIDGE NATIONAL LABORATORY COLLABORATE TO ACCELERATE SCIENTIFIC SIMULATIONS WITH GPU-POWERED SUPERCOMPUTING
    XILINX POWERS ALIBABA CLOUD FAAS WITH AI ACCELERATION SOLUTION FOR E-COMMERCE BUSINESS
    AMD’S ACCELERATOR CARD HELPS KUAISHOU OPTIMIZE ASR SERVICE
    CLEMSON UNIVERSITY RESEARCHERS LEVERAGE NVIDIA NGC CONTAINERS TO SIMPLIFY HPC APPLICATION DEPLOYMENT AND FOCUS ON COMPLEX TASKS
  • 5.13 TARIFF AND REGULATORY LANDSCAPE
    TARIFF ANALYSIS
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATORY STANDARDS
  • 5.14 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
DATA CENTER ACCELERATOR MARKET, BY PROCESSOR
85
  • 6.1 INTRODUCTION
  • 6.2 GPU
    INTEGRATION INTO MACHINE LEARNING, VIDEO EDITING, AND GAMING APPLICATIONS TO FOSTER MARKET GROWTH
  • 6.3 CPU
    NETWORK SECURITY, VIRTUALIZATION, AND VIDEO PROCESSING APPLICATIONS TO CONTRIBUTE TO SEGMENTAL GROWTH
  • 6.4 ASIC
    VIDEO TRANSCODING AND CRYPTOCURRENCY MINING APPLICATIONS TO BOOST DEMAND
  • 6.5 FPGA
    UTILIZATION IN FIELD MACHINE LEARNING INFERENCE AND VIDEO ALGORITHMS TO FUEL SEGMENTAL GROWTH
DATA CENTER ACCELERATOR MARKET, BY APPLICATION
99
  • 7.1 INTRODUCTION
  • 7.2 DEEP LEARNING TRAINING
    USE OF DEEP LEARNING IN VOICE RECOGNITION, FRAUD DETECTION, AND MOTION DETECTION APPLICATIONS TO DRIVE MARKET
  • 7.3 PUBLIC CLOUD INFERENCE
    SCALABILITY AND COST-EFFICIENCY FEATURES TO BOOST DEMAND
  • 7.4 ENTERPRISE INFERENCE
    NEED FOR SCALABILITY AND QUICK DECISION-MAKING TO AVOID COSTLY DOWNTIMES AND LOSSES TO ACCELERATE MARKET GROWTH
DATA CENTER ACCELERATOR MARKET, BY VERTICAL
106
  • 8.1 INTRODUCTION
  • 8.2 IT & TELECOM
    NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE-DEFINED NETWORKING TRENDS TO CREATE LUCRATIVE OPPORTUNITIES
  • 8.3 HEALTHCARE
    GENOMIC SEQUENCING, MEDICAL IMAGING, AND DRUG DISCOVERY APPLICATIONS TO BOOST DEMAND
  • 8.4 BFSI
    HIGH-FREQUENCY TRADING, RISK MODELING, AND FRAUD DETECTION REQUIREMENTS TO FOSTER MARKET GROWTH
  • 8.5 GOVERNMENT
    NATIONAL SECURITY, SURVEILLANCE, AND RISK MANAGEMENT APPLICATIONS TO AUGMENT DEMAND
  • 8.6 ENERGY
    NEED FOR SECURITY MEASURES TO SAFEGUARD AGAINST CYBERATTACKS TO AUGMENT MARKET GROWTH
  • 8.7 OTHER VERTICALS
DATA CENTER ACCELERATOR MARKET, BY TYPE
113
  • 9.1 INTRODUCTION
  • 9.2 CLOUD DATA CENTERS
    RISING USE OF AI AND MI IN TRAINING AND INFERENCE TASKS IN DATA CENTERS TO BOOST DEMAND FOR ACCELERATORS
  • 9.3 HPC DATA CENTERS
    INCREASING ADOPTION OF HPC TO RUN ALGORITHMS REQUIRING COMPLEX ANALYTICS TO FUEL MARKET GROWTH
DATA CENTER ACCELERATOR MARKET, BY REGION
125
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    RECESSION IMPACT ON DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA
    US
    - Rising deployment of cloud computing technologies to scale IT operations to boost market growth
    CANADA
    - Increasing research funding in AI institutions to foster market growth
    MEXICO
    - Mounting investment in hyper-scale cloud platforms to augment market growth
  • 10.3 EUROPE
    RECESSION IMPACT ON DATA CENTER ACCELERATOR MARKET IN EUROPE
    GERMANY
    - Increasing preference for cloud computing and colocation services to accelerate market growth
    UK
    - Burgeoning demand for AI and cloud technologies to drive market
    FRANCE
    - Rising government initiatives to promote digital innovation to facilitate market growth
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    RECESSION IMPACT ON DATA CENTER ACCELERATOR MARKET IN ASIA PACIFIC
    CHINA
    - Increasing deployment of big data analytics and high-performance computing technologies to drive market
    INDIA
    - Rising initiatives to modernize IT infrastructure using cloud services to fuel market growth
    JAPAN
    - Increasing construction of green data centers to achieve carbon-neutral society to boost demand
    REST OF ASIA PACIFIC
  • 10.5 ROW
    RECESSION IMPACT ON DATA CENTER ACCELERATOR MARKET IN ROW
    SOUTH AMERICA
    - Rising emphasis on supporting local cloud operations to contribute to market growth
    MIDDLE EAST & AFRICA
    - Increasing deployment of cloud computing technologies to augment market growth
    - GCC countries
    - Africa & Rest of Middle East
COMPETITIVE LANDSCAPE
154
  • 11.1 OVERVIEW
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
  • 11.3 MARKET SHARE ANALYSIS, 2023
  • 11.4 REVENUE ANALYSIS, 2020–2023
  • 11.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.6 BRAND/PRODUCT COMPARISON
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT
    - Company footprint
    - Type footprint
    - Processor footprint
    - Application footprint
    - Vertical footprint
    - Region footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING, STARTUPS/SMES, 2023
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES
    DEALS
COMPANY PROFILES
174
  • 12.1 KEY PLAYERS
    NVIDIA CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    INTEL CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ADVANCED MICRO DEVICES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICRON TECHNOLOGY, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    QUALCOMM TECHNOLOGY, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ALPHABET INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    MARVELL
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    DELL INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ACHRONIX SEMICONDUCTOR CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 12.2 OTHER PLAYERS
    GRAPHCORE
    HUAWEI TECHNOLOGIES
    FUJITSU
    SKYWORKS SOLUTIONS, INC.
    SAMBANOVA SYSTEMS, INC.
    HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    NEC CORPORATION
    LATTICE SEMICONDUCTOR
    MICROCHIP TECHNOLOGY INC.
    LEAPMIND INC.
    QNAP SYSTEMS, INC.
    MIPS
    SYNOPSYS, INC.
    SEMPTIAN
    CISCO SYSTEMS, INC.
APPENDIX
235
  • 13.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 13.2 DISCUSSION GUIDE
  • 13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 13.4 CUSTOMIZATION OPTIONS
  • 13.5 RELATED REPORTS
  • 13.6 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 DATA CENTER ACCELERATOR MARKET: GROWTH FORECAST ASSUMPTIONS
  • TABLE 2 DATA CENTER ACCELERATOR MARKET: RESEARCH ASSUMPTIONS
  • TABLE 3 DATA CENTER ACCELERATOR MARKET: RISK ASSESSMENT
  • TABLE 4 PARAMETERS CONSIDERED TO ANALYZE RECESSION IMPACT ON DATA CENTER ACCELERATOR MARKET
  • TABLE 5 COMPANIES OFFERING CLOUD SERVICES FOR DEEP/MACHINE LEARNING TOOLS AND SERVICES
  • TABLE 6 AVERAGE SELLING PRICE TREND, BY PROCESSOR TYPE, 2018–2023 (USD)
  • TABLE 7 AVERAGE SELLING PRICE TREND OF DATA CENTER ACCELERATORS, BY REGION, 2019–2023 (USD)
  • TABLE 8 ROLE OF COMPANIES IN DATA CENTER ACCELERATOR ECOSYSTEM
  • TABLE 9 INNOVATIONS AND PATENT REGISTRATIONS, 2022–2023
  • TABLE 10 IMPORT SCENARIO FOR HS CODE 847330-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 11 EXPORT SCENARIO FOR HS CODE 847330-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 12 KEY CONFERENCES AND EVENTS, 2024–2025
  • TABLE 13 MFN TARIFF FOR HS CODE 847330-COMPLIANT PRODUCTS EXPORTED BY US, 2023
  • TABLE 14 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 17 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 18 IMPACT OF PORTER’S FIVE FORCES ON DATA CENTER ACCELERATOR MARKET
  • TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS, BY APPLICATION (%)
  • TABLE 20 KEY BUYING CRITERIA, BY APPLICATION
  • TABLE 21 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2020–2023 (USD MILLION)
  • TABLE 22 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2024–2029 (USD MILLION)
  • TABLE 23 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2020–2023 (THOUSAND UNIT)
  • TABLE 24 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2024–2029 (THOUSAND UNIT)
  • TABLE 25 GPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 26 GPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 27 GPU: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 28 GPU: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 29 CPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 30 CPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 31 CPU: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 32 CPU: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 33 ASIC: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 34 ASIC: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 35 ASIC: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 36 ASIC: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 37 FPGA: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 38 FPGA: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 39 FPGA: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 40 FPGA: DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 41 DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 42 DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 43 DEEP LEARNING TRAINING: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2020–2023 (USD MILLION)
  • TABLE 44 DEEP LEARNING TRAINING: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2024–2029 (USD MILLION)
  • TABLE 45 PUBLIC CLOUD INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2020–2023 (USD MILLION)
  • TABLE 46 PUBLIC CLOUD INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2024–2029 (USD MILLION)
  • TABLE 47 ENTERPRISE INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2020–2023 (USD MILLION)
  • TABLE 48 ENTERPRISE INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR, 2024–2029 (USD MILLION)
  • TABLE 49 DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 50 DATA CENTER ACCELERATOR MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 51 DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 52 DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 53 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 54 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 55 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 56 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 57 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN EUROPE, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 58 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN EUROPE, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 59 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ASIA PACIFIC, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 60 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ASIA PACIFIC, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 61 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ROW, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 62 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ROW, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 63 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN MIDDLE EAST & AFRICA, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 64 CLOUD DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN MIDDLE EAST & AFRICA, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 65 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 66 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 67 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 68 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 69 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN EUROPE, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 70 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN EUROPE, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 71 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ASIA PACIFIC, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 72 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ASIA PACIFIC, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 73 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ROW, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 74 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN ROW, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 75 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN MIDDLE EAST & AFRICA, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 76 HPC DATA CENTERS: DATA CENTER ACCELERATOR MARKET IN MIDDLE EAST & AFRICA, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 77 DATA CENTER ACCELERATOR MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 78 DATA CENTER ACCELERATOR MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 79 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 80 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 81 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 82 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 83 US: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 84 US: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 85 CANADA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 86 CANADA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 87 MEXICO: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 88 MEXICO: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 89 EUROPE: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 90 EUROPE: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 91 EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 92 EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 93 GERMANY: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 94 GERMANY: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 95 UK: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 96 UK: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 97 FRANCE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 98 FRANCE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 99 REST OF EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 100 REST OF EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 101 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 102 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 103 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 104 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 105 CHINA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 106 CHINA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 107 INDIA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 108 INDIA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 109 JAPAN: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 110 JAPAN: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 111 REST OF ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 112 REST OF ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 113 ROW: DATA CENTER ACCELERATOR MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 114 ROW: DATA CENTER ACCELERATOR MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 115 ROW: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 116 ROW: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 117 SOUTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 118 SOUTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 119 MIDDLE EAST & AFRICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 120 MIDDLE EAST & AFRICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 121 MIDDLE EAST & AFRICA: DATA CENTER ACCELERATOR MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 122 MIDDLE EAST & AFRICA: DATA CENTER ACCELERATOR MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 123 DATA CENTER ACCELERATOR MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS
  • TABLE 124 DATA CENTER ACCELERATOR MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 125 DATA CENTER ACCELERATOR MARKET: TYPE FOOTPRINT
  • TABLE 126 DATA CENTER ACCELERATOR MARKET: PROCESSOR FOOTPRINT
  • TABLE 127 DATA CENTER ACCELERATOR MARKET: APPLICATION FOOTPRINT
  • TABLE 128 DATA CENTER ACCELERATOR MARKET: VERTICAL FOOTPRINT
  • TABLE 129 DATA CENTER ACCELERATOR MARKET: REGION FOOTPRINT
  • TABLE 130 DATA CENTER ACCELERATOR MARKET: LIST OF KEY STARTUPS/SMES
  • TABLE 131 DATA CENTER ACCELERATOR MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 132 DATA CENTER ACCELERATOR MARKET: PRODUCT LAUNCHES, JANUARY 2020–JUNE 2024
  • TABLE 133 DATA CENTER ACCELERATOR MARKET: DEALS, JANUARY 2020–JUNE 2024
  • TABLE 134 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 135 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 136 NVIDIA CORPORATION: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 137 NVIDIA CORPORATION: DEALS
  • TABLE 138 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 139 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 140 INTEL CORPORATION: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 141 INTEL CORPORATION: DEALS
  • TABLE 142 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
  • TABLE 143 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 144 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 145 ADVANCED MICRO DEVICES, INC.: DEALS
  • TABLE 146 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
  • TABLE 147 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 148 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 149 MICRON TECHNOLOGY, INC.: DEALS
  • TABLE 150 QUALCOMM TECHNOLOGY, INC.: COMPANY OVERVIEW
  • TABLE 151 QUALCOMM TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 152 QUALCOMM TECHNOLOGY, INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 153 QUALCOMM TECHNOLOGY, INC.: DEALS
  • TABLE 154 IBM: COMPANY OVERVIEW
  • TABLE 155 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 156 IBM: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 157 IBM: DEALS
  • TABLE 158 ALPHABET INC.: COMPANY OVERVIEW
  • TABLE 159 ALPHABET INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 160 ALPHABET INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 161 ALPHABET INC.: DEALS
  • TABLE 162 MARVELL: COMPANY OVERVIEW
  • TABLE 163 MARVELL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 164 MARVELL: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 165 MARVELL: DEALS
  • TABLE 166 DELL INC.: COMPANY OVERVIEW
  • TABLE 167 DELL INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 168 DELL INC.: DEALS
  • TABLE 169 ACHRONIX SEMICONDUCTOR CORPORATION: COMPANY OVERVIEW
  • TABLE 170 ACHRONIX SEMICONDUCTOR CORPORATION: PRODUCTS/SOLUTIONS/ SERVICES OFFERED
  • TABLE 171 ACHRONIX SEMICONDUCTOR CORPORATION: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 172 ACHRONIX SEMICONDUCTOR CORPORATION: DEALS
LIST OF FIGURES
 
  • FIGURE 1 DATA CENTER ACCELERATOR MARKET SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 DATA CENTER ACCELERATOR MARKET: RESEARCH DESIGN
  • FIGURE 3 DATA CENTER ACCELERATOR MARKET: RESEARCH APPROACH
  • FIGURE 4 DATA CENTER ACCELERATOR MARKET: SUPPLY-SIDE ANALYSIS
  • FIGURE 5 REVENUE GENERATED FROM SALES OF DATA CENTER ACCELERATORS
  • FIGURE 6 DATA CENTER ACCELERATOR MARKET: REVENUE ANALYSIS OF NVIDIA CORPORATION
  • FIGURE 7 DATA CENTER ACCELERATOR MARKET: BOTTOM-UP APPROACH
  • FIGURE 8 DATA CENTER ACCELERATOR MARKET: TOP-DOWN APPROACH
  • FIGURE 9 DATA CENTER ACCELERATOR MARKET: DATA TRIANGULATION
  • FIGURE 10 DATA CENTER ACCELERATOR MARKET, 2020–2029 (USD MILLION)
  • FIGURE 11 GPU SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 12 ENTERPRISE INFERENCE APPLICATION TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 13 HEALTHCARE VERTICAL TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 14 NORTH AMERICA TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD
  • FIGURE 15 INCREASING DATA VOLUMES AND PRESSING NEED FOR FAST AND EFFICIENT DATA PROCESSING TO DRIVE MARKET
  • FIGURE 16 IT & TELECOM SEGMENT TO SECURE LARGEST SHARE OF DATA CENTER ACCELERATOR MARKET FOR GPU PROCESSORS IN 2029
  • FIGURE 17 GPU PROCESSORS TO DOMINATE MARKET FOR DEEP LEARNING TRAINING APPLICATION THROUGHOUT FORECAST PERIOD
  • FIGURE 18 CANADA TO RECORD HIGHEST CAGR IN NORTH AMERICAN MARKET DURING FORECAST PERIOD
  • FIGURE 19 ASIA PACIFIC TO WITNESS HIGHEST CAGR IN MARKET FOR CLOUD DATA CENTERS DURING FORECAST PERIOD
  • FIGURE 20 NORTH AMERICA TO HOLD LARGEST SHARE OF GLOBAL MARKET IN 2029
  • FIGURE 21 CANADA TO RECORD HIGHEST CAGR IN GLOBAL MARKET DURING FORECAST PERIOD
  • FIGURE 22 DATA CENTER ACCELERATOR MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 23 IMPACT OF DRIVERS ON DATA CENTER ACCELERATOR MARKET
  • FIGURE 24 GLOBAL ANNUAL DATA GENERATION TREND, 2020–2025
  • FIGURE 25 IMPACT OF RESTRAINTS ON DATA CENTER ACCELERATOR MARKET
  • FIGURE 26 IMPACT OF OPPORTUNITIES ON DATA CENTER ACCELERATOR MARKET
  • FIGURE 27 IMPACT OF CHALLENGES ON DATA CENTER ACCELERATOR MARKET
  • FIGURE 28 TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS
  • FIGURE 29 AVERAGE SELLING PRICE TREND OF GPU PROCESSORS OFFERED BY TOP PLAYERS
  • FIGURE 30 DATA CENTER ACCELERATOR MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 31 KEY PLAYERS IN DATA CENTER ACCELERATOR ECOSYSTEM
  • FIGURE 32 INVESTMENT AND FUNDING SCENARIO
  • FIGURE 33 LIST OF MAJOR PATENTS RELATED TO DATA CENTER ACCELERATORS, 2013–2023
  • FIGURE 34 LOCATION-BASED ANALYSIS OF PATENTS, 2013–2023
  • FIGURE 35 IMPORT DATA FOR HS CODE 847330-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • FIGURE 36 EXPORT DATA FOR HS CODE 847330-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • FIGURE 37 PORTER’S FIVE FORCES’ ANALYSIS: DATA CENTER ACCELERATOR MARKET
  • FIGURE 38 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS, BY APPLICATION
  • FIGURE 39 KEY BUYING CRITERIA, BY APPLICATION
  • FIGURE 40 GPU SEGMENT TO COMMAND DATA CENTER ACCELERATOR MARKET THROUGHOUT FORECAST PERIOD
  • FIGURE 41 HEALTHCARE VERTICAL TO RECORD HIGHEST CAGR IN DATA CENTER ACCELERATOR MARKET FOR GPU DURING FORECAST PERIOD
  • FIGURE 42 DEEP LEARNING TRAINING SEGMENT TO CAPTURE LARGEST MARKET SHARE OF CPU PROCESSORS FROM 2024 TO 2029
  • FIGURE 43 IT & TELECOM VERTICAL TO HOLD LARGEST MARKET SHARE OF ASIC PROCESSORS IN 2029
  • FIGURE 44 ENTERPRISE INFERENCE APPLICATION TO RECORD HIGHEST CAGR IN MARKET FOR FPGA PROCESSORS DURING FORECAST PERIOD
  • FIGURE 45 DEEP LEARNING TRAINING SEGMENT TO HOLD LARGEST MARKET SHARE IN 2029
  • FIGURE 46 IT & TELECOM SEGMENT TO ACCOUNT FOR MAJORITY OF MARKET SHARE THROUGHOUT FORECAST PERIOD
  • FIGURE 47 CLOUD DATA CENTERS TO DOMINATE DATA CENTER ACCELERATOR MARKET THROUGHOUT FORECAST PERIOD
  • FIGURE 48 NORTH AMERICA TO HOLD LARGEST SHARE OF CLOUD DATA CENTER MARKET IN 2029
  • FIGURE 49 ASIA PACIFIC TO BE FASTEST-GROWING MARKET FOR HPC DATA CENTERS DURING FORECAST PERIOD
  • FIGURE 50 NORTH AMERICA TO DOMINATE GLOBAL DATA CENTER ACCELERATOR MARKET FROM 2024 TO 2029
  • FIGURE 51 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET SNAPSHOT
  • FIGURE 52 EUROPE: DATA CENTER ACCELERATOR MARKET SNAPSHOT
  • FIGURE 53 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET SNAPSHOT
  • FIGURE 54 DATA CENTER ACCELERATOR MARKET SHARE ANALYSIS, 2023
  • FIGURE 55 DATA CENTER ACCELERATOR MARKET: REVENUE ANALYSIS OF TOP PLAYERS, 2020–2023
  • FIGURE 56 COMPANY VALUATION (USD BILLION)
  • FIGURE 57 FINANCIAL METRICS (EV/EBITDA), 2023
  • FIGURE 58 DATA CENTER ACCELERATOR MARKET: BRAND/PRODUCT COMPARISON
  • FIGURE 59 DATA CENTER ACCELERATOR MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 60 DATA CENTER ACCELERATOR MARKET: COMPANY FOOTPRINT
  • FIGURE 61 DATA CENTER ACCELERATOR MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 62 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 63 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 64 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 65 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
  • FIGURE 66 QUALCOMM TECHNOLOGY, INC.: COMPANY SNAPSHOT
  • FIGURE 67 IBM: COMPANY SNAPSHOT
  • FIGURE 68 ALPHABET INC.: COMPANY SNAPSHOT
  • FIGURE 69 MARVELL: COMPANY SNAPSHOT
  • FIGURE 70 DELL INC.: COMPANY SNAPSHOT

The study involved four major activities in estimating the size of the data center accelerator market. Exhaustive secondary research has been carried out to collect information on the market, the peer markets, and the parent market. Both top-down and bottom-up approaches have been employed to estimate the total market size. Market breakdown and data triangulation methods have also been used to estimate the market for segments and subsegments.

Secondary Research

Revenues of companies offering data center accelerator systems have been obtained from the secondary data available through paid and unpaid sources. The revenues have also been derived by analyzing the product portfolio of key companies, and these companies have been rated according to the performance and quality of their products.

In the secondary research process, various sources have been referred to for identifying and collecting information for this study on the data center accelerator market. Secondary sources considered for this research study include government sources, corporate filings, and trade, business, and professional associations. Secondary data has been collected and analyzed to arrive at the overall market size, which has been further validated through primary research.

Secondary research has been mainly used to obtain key information about the supply chain of data center accelerator systems to identify key players based on their products and prevailing industry trends in the data center accelerator market by processor, type, application, end-user, and region. Secondary research also helped obtain market information- and technology-oriented key developments undertaken by market players to expand their presence and increase their market share.

Primary Research

Extensive primary research has been conducted after understanding and analyzing the current scenario of the data center accelerator market through secondary research. Several primary interviews have been conducted with the key opinion leaders from the demand and supply sides across four main regions—North America, Europe, Asia Pacific, and the Rest of Europe. Approximately 25% of the primary interviews were conducted with the demand-side respondents, while approximately 75% were conducted with the supply-side respondents. The primary data has been collected through questionnaires, emails, and telephone interviews.

After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from our primary. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report. The breakdown of primary respondents is as follows:

Data Center Accelerator Market
 Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The bottom-up procedure has been employed to arrive at the overall size of the data center accelerator market.

  • Initially, more than 35 companies offering data center accelerators were identified. Their offerings were mapped based on type, processor, and application.
  • After understanding the different types of data center accelerators offered by various manufacturers, based on the data gathered through primary and secondary sources, the market was categorized into different segments.
  • To derive the global data center accelerator market, global server shipments of top players for each device type that were considered in the scope of the report were tracked.
  • A suitable penetration rate was assigned for the shipment of each of these device types to derive the shipments of data center accelerators.
  • Using the average selling price (ASP) at which a particular company offers its devices, we derived the data center accelerator market based on different device types. The ASP of each device was identified based on secondary sources and validated from primaries.
  • For the projected market values of each of the device types, the Y-o-Y projections showed a steep growth initially until 2019. COVID-19 has not impacted market much and it is expected that market will grow positively during forecast period. The market is expected to witness a sharp ascent, thereafter, considering the demand for data center accelerator for different applications.
  • For the CAGR, the market trend analysis was carried out by understanding the industry penetration rate and the demand and supply of data center accelerators in different applications.
  • We also tracked the data center accelerator market through the data sanity method. The revenues of more than 25 key providers were analyzed through annual reports and press releases and summed to derive the overall market.
  • For each company, a percentage is assigned to its overall revenue or, in a few cases, segmental revenue, to derive its revenue for the data center accelerator. This percentage for each company is assigned based on the company’s product portfolio and its range of data center accelerator offerings.
  • Verifying and crosschecking the estimates at every level by discussing with key opinion leaders, including CXOs, directors, and operation managers, and then finally with the domain experts at MarketsandMarkets
  • Studying various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases

Data Center Accelerator Market
 Size, and Bottom-Up Approach

The top-down approach has been used to estimate and validate the total size of the data center accelerator market.

  • The global market size of data center accelerators was estimated through the data sanity of 35 major companies.
  • The growth of the data center accelerator market witnessed an upward slope trend during the studied period, as it is currently in the initial stage of the product cycle, with major players beginning to expand their business into various application areas of the market.
  • Types of data center accelerators, their features and properties, geographical presence, and key applications served by all players in the data center accelerator market were studied to estimate and arrive at the percentage split of the segments.
  • Different types of data center accelerators and their penetration for the end-use applications were also studied.
  • The market split for data center accelerator by type, processor, and application based on secondary research was estimated.
  • The demand generated by companies operating in different application segments of the end-use application was analyzed.
  • Multiple discussions with key opinion leaders across major companies involved in the development of data center accelerator and related components were conducted to validate the market split of type, product, and application.
  • The regional splits were estimated using secondary sources, based on factors such as the number of players in a specific country and region and the adoption and use cases of each implementation type with respect to applications in the region

Data Center Accelerator Market
 Size, and Top-Down Approach

Data Triangulation

After arriving at the overall market size-using the market size estimation processes as explained above—the market has been split into several segments and subsegments. To complete the entire market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakdown procedures have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from the demand and supply sides in the data center accelerator market.

Market Definition

Data center acceleration refers to the use of specialized hardware and software to enhance the performance, efficiency, and capabilities of data centers. This typically involves deploying accelerators such as Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), and Application-Specific Integrated Circuits (ASICs) alongside traditional Central Processing Units (CPUs). These accelerators are designed to handle specific tasks more efficiently than general-purpose CPUs, such as data processing, artificial intelligence (AI) workloads, machine learning (ML), and big data analytics. By offloading these intensive tasks to accelerators, data centers can achieve faster processing times, lower latency, and reduced power consumption, leading to overall improved performance and cost savings. This acceleration is critical in modern data centers, which must manage increasing volumes of data and complex computational tasks while maintaining high levels of performance and energy efficiency.

Key Stakeholders

  •  NGOs, Governments, Investment Banks, Venture Capitalists, and Private Equity Firms
  • Telecom Services Providers
  • Original Equipment Manufacturers
  • Value-added Service Providers
  • Data Center Operators
  • Software Developers
  • Data Center Colocation Service Providers
  • System Integrators
  • Cloud Service Providers
  • Colocation Service Providers

Report Objectives

  • To define, describe, segment, and forecast the data center accelerator market, by processor, type, application, and end-user, in terms of value
  • To forecast the market for processor, in terms of volume
  • To describe and forecast the market for various segments, with respect to four main regions, namely, North America, Europe, Asia Pacific, and the Rest of the World (RoW), in terms of value
  • To forecast and compare the market size of pre-recession with that of the post-recession at the regional level
  • To provide detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the data center accelerator market
  • To provide a detailed overview of the data center accelerator market’s supply chain, along with the ecosystem, technology trends, use cases, regulatory environment, and Porter’s five forces analysis for the market
  • To analyze industry trends, pricing data, patents and innovations, and trade data (export and import data) related to the data center accelerators.
  • To strategically analyze the micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To strategically profile the key players and comprehensively analyze their market share and core competencies2
  • To analyze opportunities for stakeholders and provide a detailed competitive landscape of the market
  • To analyze competitive developments, such as product launches/developments, collaborations, partnerships, acquisitions, and research & development (R&D) activities, carried out by players in the data center accelerator market
  • To profile key players in the data center accelerator market and comprehensively analyze their market ranking based on their revenue, market share, and core competencies2

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the specific requirements of companies. The following customization options are available for the report:

  • Detailed analysis and profiling of additional market players based on various blocks of the supply chain

Previous Versions of this Report

Data Center Accelerator Market by Processor Type (CPU, GPU, FPGA, ASIC), Type (HPC Data Center, Cloud Data Center), Application (Deep Learning Training, Public Cloud Interface, Enterprise Interface) and Region - Global Forecast to 2027

Report Code SE 6553
Published in Nov, 2022, By MarketsandMarkets™

Data Center Accelerator Market by Processor Type (CPU, GPU, FPGA, ASIC), Type (HPC Accelerator, Cloud Accelerator), Application (Deep Learning Training, Public Cloud Interface, Enterprise Interface), and Geography - Global Forecast to 2026

Report Code SE 6553
Published in Jul, 2021, By MarketsandMarkets™

Data Center Accelerator Market by Processor Type (CPU, GPU, FPGA, ASIC), Type (HPC Accelerator, Cloud Accelerator), Application (Deep Learning Training, Public Cloud Interface, Enterprise Interface), and Geography - Global Forecast to 2026

Report Code SE 6553
Published in Aug, 2018, By MarketsandMarkets™
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Growth opportunities and latent adjacency in Data Center Accelerator Market

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