Data Center Accelerator Market

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 Nov, 2022, by marketsandmarkets.com

[244 Pages Report] The global data center accelerator market size is projected to reach USD 64.0 billion by 2027, growing at a CAGR of 24.7% during the forecast period. Some of the major factors contributing to the high demand for data center accelerators include rising focus on parallel computing in AI data centers, the growth of the cloud-based service market, the increasing use of deep learning technologies in big data analytics, and the increasing adoption of data center accelerators in enterprises.

Data Center Accelerator Market

Data Center Accelerator Market Forecast to 2027

To know about the assumptions considered for the study, Request for Free Sample Report

Data Center Accelerator Market Dynamics:

Driver: Rising adoption of data center accelerators in enterprises

Most organizations make on-premise technology investments, so operating in a hybrid architecture is necessary for cloud adoption. Therefore, organizations select a cloud provider to implement hybrid cloud architecture without further investments in on-premise hardware and software to achieve their business goals. Amazon Web Services (US) has partnered with on-premise platform providers, such as Intel (US), Microsoft (US), and VMware (US), to develop hybrid capabilities across storage, networking, security, and management tools; and application deployments to make the integration of cloud services easy. These hybrid capabilities enable enterprises to run their existing applications with high performance on Amazon Web Services. Key tech giants are seeking growth opportunities in enterprise inference applications by installing enterprise solutions in data centers.  

Restraint: Need for specialized infrastructure

Data centers require highly specialized infrastructure. Data center infrastructure refers to the core physical or hardware-based resources and components, including all IT infrastructure devices, equipment, and technologies that comprise a data center. It is modeled and identified in a design plan that includes a complete listing of necessary infrastructure components used to create a data center. It requires networking equipment, such as routers or switches; security, such as a firewall or biometric security system; storage, such as storage area network (SAN) or backup/tape storage; and data center management software/applications. This specialized infrastructure requirement sometimes becomes a restraining factor for the growth of this market.

Opportunity: Increasing number of companies offering Machine Learning-as-a-Service (MLaaS)

The increasing number of companies that offer machine learning for cloud services is increasing due to the high demand for AI. Thus, an increase in the adoption of cloud-based technology is boosting the need for deep learning, which is projected to create growth opportunities for the players in the data center accelerator market during the forecast period. Using machine learning-powered systems could potentially contribute to predictive and preventive maintenance. Machine learning can also be used to monitor server performance, network congestions, and disk utilization that help detect and envisage data outages. Thus, the machine learning revolution can enhance data center infrastructure and facilitate more intelligent and automated data management.

Challenge: High electricity consumption by data centers

The demand for data storage has rocketed with the increased convenience of working online, leading to increased use of cloud computing, and creating the need to be stored and processed. This led to a rapid boom in data center investment, but it paved the way for the high power demand. In 2020, global data center electricity use was between 200 and 250 terawatt-hours, around 1% of total electricity demand, according to the International Energy Agency. The high-power consumption will remain a challenge for this market’s growth over the years.

Data Center Accelerator Market Segment Overview:

HPC Data Centers to witness declination in the market share throughout the forecast period

High-performance computing (HPC) is used to solve complex, performance-intensive problems-and organizations are increasingly moving HPC workloads to the cloud. HPC in the cloud is changing the economics of product development and research because it requires fewer prototypes, accelerates testing, and decreases time to market. Though HPC is efficient enough, it requires a huge amount of initial capital, and the cost of repair and maintenance it requires has paved the way for developers to find and move toward a better alternative.

CPUs hold a significant market share during the forecast period

An accelerator is attached to CPU buses to execute certain key functions quickly. Accelerators can provide large performance increases for applications with computational kernels that spend much time in a small section of code. Major use cases for CPU accelerations in data centers are in manufacturing, healthcare, retail, and smart cities. In all these applications, the connected systems generate a huge amount of data that needs to be stored, managed, and processed for meaningful insights. Hence, CPUs contribute to a significant market share during the forecast period.

Enterprise Inference too witness highest CAGR for application segment in the forecast period

Organizations select a cloud provider to implement hybrid cloud architecture without further investments in on-premises hardware and software to achieve their business goals. Amazon Web Services (US) has partnered with on-premise platform providers, such as Intel (US), Microsoft (US), and VMware (US), to develop hybrid capabilities across storage, networking, security, and management tools; and application deployments to make the integration of cloud services easy. These hybrid capabilities enable enterprises to run their existing applications with high performance. With businesses realizing the dynamism of what can be done with their data, they are moving on from their existing resources to well-equipped data centers to aid better data management. Data centers have become a top priority for businesses across the globe to measure up their IT infrastructure requirements. With this shift in addressing information, data centers have moved beyond being just an additional storage facility.

The US in North America dominates the market in terms of the market share currently

Data Center Accelerator Market by Region

Data Center Accelerator Market by Region

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

The US currently has the highest number of data centers globally and is witnessing robust growth in terms of volume of big data and traffic due to the increase in the number of hyperscale data centers. The volume of big data in data center storage worldwide will have a considerable share from the US. Another major factor or reason behind the major market share of the North American region is the data center accelerator market, as most of the leading players are based in the US and have a robust presence in the region as well as across the globe.

Key Market Players in Data Center Accelerator Market Size

Intel Corporation (US), NVIDIA Corporation (US), Advanced Micro Devices, Inc (US), Micron Technology, Inc. (US), and Qualcomm Technologies, Inc. (US) are among the major players in the data center accelerator market.

Data Cente Accelerator Market Share Report Scope

Report Metric

Details

Market Size Availability for Years

2018–2027

Base Year

2021

Forecast Period

2022–2027

Forecast Units

Value (USD Billion) and Volume (Million Units)

Segments Covered

By Processor Type, Type, Application, and Region

Geographies Covered

North America, Europe, Asia Pacific, and RoW

Companies Covered

Intel Corporation (US), NVIDIA Corporation (US), Advanced Micro Devices, Inc (US), Micron Technology, Inc. (US), and Qualcomm Technologies, Inc. (US).
A total of 25 players are covered.

Data Center Accelerator Market Highlights

This research report categorizes the data center accelerator market by type, processor type, application, and geography

Aspect

Details

Based on Type:

  • Cloud Data Center
  • HPC Data Center

Based on Processor Type:

  • CPU
  • GPU
  • ASIC
  • FPGA

Based on Application:

  • Deep Learning Training
  • Public Cloud Inference
  • Enterprise Inference

Based on the Region:

  • North America
  • Europe
  • Asia Pacific
  • RoW (Brazil and Others in RoW)

Recent Developments in Data Ceneter Accelarator

  • In June 2022, Micron Technology, Inc. launched the 5400 SATA SSD, an advanced storage solution for critical infrastructure. It has 176-layer process technology for data center SATA platforms. This advanced technology enables customers to deliver optimized performance.
  • In June 2022, Qualcomm Technologies, Inc. launched a unified AI Stack for cloud-to-edge intelligence. AI accelerators have improved silicon performance by over a thousand folds, and their software turns silicon into useful capabilities for consumers and businesses.
  • In March 2022, NVIDIA Corporation launched a data-center-scale omniverse computing system for industrial digital twins—NVIDIA OVX, built to operate complex digital twin simulations that run within NVIDIA Omniverse (a real-time physically accurate world simulation and 3D design collaboration platform). The OVX system combines high-performance GPU-accelerated computing, graphics, and AI with high-speed storage access, low-latency networking, and precision timing to provide the performance required for creating digital twins with real-world accuracy.
  • In February 2022, Intel Corporation launched new Xeon D processors: D-2700 and D-1700. These are system-on-chip (SoC), built for the software-defined network and edge, with integrated AI and crypto acceleration, built-in Ethernet, support for Time Coordinated Computing (TCC) and Time Sensitive Networking (TSN), and industrial-class reliability. These extend to a better overall experience for key network and edge usage and workload.
  • In November 2021, AMD launched the new AMD Instinct MI200 series accelerators, the world’s fastest accelerators for high-performance computing (HPC) and artificial intelligence (AI) workloads. They provide a preview of the innovative 3rd Gen AMD EPYC processors with AMD 3D V-Cache.  
  • In October 2021, Micron 7400 SSD With NVMe delivered PCIe Gen4 performance for data centers with leading-edge security to meet the storage needs of demanding data center workloads. Micron provides the broadest selection of mainstream data center SSDs. Signify (Euronext: LIGHT) acquired Telensa Holdings Ltd, a UK-based expert in smart cities wireless monitoring and control systems.
  • In January 2021, Intel Corporation introduced the new N-Series 10-nanometer Intel Pentium Silver and Intel Celeron processor for media and collaboration for education systems.  

Frequently Asked Questions (FAQs):

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

 

 

TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 27)
    1.1 STUDY OBJECTIVES
    1.2 MARKET DEFINITION
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 STUDY SCOPE
           1.3.1 MARKETS COVERED
                    FIGURE 1 DATA CENTER ACCELERATOR MARKET: SEGMENTATION
           1.3.2 REGIONAL SCOPE
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED
    1.5 LIMITATIONS
    1.6 STAKEHOLDERS
    1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY (Page No. - 32)
    2.1 RESEARCH DATA
           FIGURE 2 DATA CENTER ACCELERATOR MARKET: PROCESS FLOW OF MARKET SIZE ESTIMATION
           FIGURE 3 DATA CENTER ACCELERATOR MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Key industry insights
                    2.1.2.2 Breakdown of primaries
           2.1.3 SECONDARY AND PRIMARY DATA
    2.2 MARKET SIZE ESTIMATION
           2.2.1 BOTTOM-UP APPROACH
                    FIGURE 4 DATA CENTER ACCELERATOR MARKET: MARKET SIZE ESTIMATION
                    2.2.1.1 Approach for deriving market share using bottom-up analysis (demand side)
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach for deriving market share using top-down analysis (supply side)
    2.3 DATA TRIANGULATION
           FIGURE 5 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS
    2.5 RISK ASSESSMENT
    2.6 LIMITATIONS

3 EXECUTIVE SUMMARY (Page No. - 44)
    FIGURE 6 DATA CENTER ACCELERATOR MARKET, 2018–2027
    FIGURE 7 ASIC SEGMENT TO REGISTER HIGHEST CAGR IN DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, DURING FORECAST PERIOD
    FIGURE 8 DEEP LEARNING TRAINING SEGMENT TO HOLD LARGEST SHARE OF DATA CENTER ACCELERATOR MARKET, BY APPLICATION, DURING FORECAST PERIOD
    FIGURE 9 CLOUD DATA CENTER SEGMENT TO HOLD LARGER SHARE OF DATA CENTER ACCELERATOR MARKET, BY TYPE, DURING REVIEW PERIOD
    FIGURE 10 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN DATA CENTER ACCELERATOR MARKET DURING REVIEW PERIOD

4 PREMIUM INSIGHTS (Page No. - 48)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS OPERATING IN DATA CENTER ACCELERATOR MARKET
           FIGURE 11 EXPANDING FPGA-BASED ACCELERATOR MARKET
    4.2 DATA CENTER ACCELERATOR MARKET, BY TYPE
           FIGURE 12 CLOUD DATA CENTER ACCELERATOR SEGMENT TO ACCOUNT FOR HIGHER MARKET SHARE DURING FORECAST PERIOD
    4.3 ASIA PACIFIC DATA CENTER ACCELERATOR MARKET, BY TYPE AND COUNTRY
           FIGURE 13 CLOUD DATA CENTER SEGMENT AND CHINA HELD LARGEST SHARES OF ASIA PACIFIC DATA CENTER ACCELERATOR MARKET IN 2021
    4.4 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE
           FIGURE 14 ASIC SEGMENT TO REGISTER HIGHEST CAGR DURING REVIEW PERIOD
    4.5 DATA CENTER ACCELERATOR MARKET, BY COUNTRY
           FIGURE 15 INDIA TO REGISTER HIGHEST CAGR IN DATA CENTER ACCELERATOR MARKET DURING FORECAST PERIOD

5 MARKET OVERVIEW (Page No. - 51)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           FIGURE 16 DATA CENTER ACCELERATOR MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    FIGURE 17 DATA CENTER ACCELERATOR MARKET: DRIVERS AND THEIR IMPACT
                    5.2.1.1 Expanding cloud-based service market
                               TABLE 1 COMPANIES OFFERING CLOUD SERVICES FOR DEEP/MACHINE LEARNING
                    5.2.1.2 Rising focus on parallel computing in artificial intelligence (AI) data centers
                    5.2.1.3 Growing use of deep learning technology in big data analytics
                    5.2.1.4 Rising adoption of data center accelerators in enterprises
           5.2.2 RESTRAINTS
                    FIGURE 18 DATA CENTER ACCELERATOR MARKET: RESTRAINTS AND THEIR IMPACT
                    5.2.2.1 Premium pricing of accelerators
                    5.2.2.2 Limited availability of artificial intelligence (AI) hardware experts
                    5.2.2.3 Need for specialized infrastructure
           5.2.3 OPPORTUNITIES
                    FIGURE 19 DATA CENTER ACCELERATOR MARKET: OPPORTUNITIES AND THEIR IMPACT
                    5.2.3.1 Increasing demand for field programmable gate array (FPGA)-based accelerators
                    5.2.3.2 Rising need for co-processors with slowdown in Moore’s Law
                               FIGURE 20 SLOWDOWN IN MOORE’S LAW
                    5.2.3.3 Increasing number of companies offering Machine Learning-as-a-Service (MLaaS)
           5.2.4 CHALLENGES
                    FIGURE 21 DATA CENTER ACCELERATOR MARKET: CHALLENGES AND THEIR IMPACT
                    5.2.4.1 Unreliability of artificial intelligence (AI) algorithms
                    5.2.4.2 Complex artificial intelligence (AI) mechanisms
                    5.2.4.3 High electricity consumption by data centers
    5.3 VALUE CHAIN ANALYSIS
           FIGURE 22 DATA CENTER ACCELERATOR MARKET: VALUE CHAIN ANALYSIS
    5.4 ECOSYSTEM ANALYSIS
           TABLE 2 DATA CENTER ACCELERATOR MARKET: ECOSYSTEM ANALYSIS
    5.5 AVERAGE SELLING PRICE (ASP) ANALYSIS
           TABLE 3 AVERAGE SELLING PRICE OF DATA CENTER ACCELERATOR CARDS, 2021
           TABLE 4 AVERAGE SELLING PRICE OF PROCESSOR TYPES, 2018–2021 (USD)
    5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
           FIGURE 23 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES RELATED TO DATA CENTER ACCELERATOR MARKET
    5.7 TECHNOLOGY ANALYSIS
           5.7.1 CLOUD GRAPHICS PROCESSING UNIT (GPU)
           5.7.2 ARTIFICIAL INTELLIGENCE (AI)
           5.7.3 DEEP LEARNING IN BIG DATA ANALYTICS
           5.7.4 PARALLEL COMPUTING IN DATA CENTERS
    5.8 PORTER’S FIVE FORCES ANALYSIS
           TABLE 5 DATA CENTER ACCELERATOR MARKET: PORTER’S FIVE FORCES ANALYSIS
           FIGURE 24 DATA CENTER ACCELERATOR MARKET: PORTER’S FIVE FORCE ANALYSIS
           5.8.1 BARGAINING POWER OF SUPPLIERS
           5.8.2 BARGAINING POWER OF BUYERS
           5.8.3 THREAT OF NEW ENTRANTS
           5.8.4 THREAT OF SUBSTITUTES
           5.8.5 INTENSITY OF COMPETITIVE RIVALRY
    5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
           5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS, BY APPLICATION
                    TABLE 6 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS, BY APPLICATION (%)
           5.9.2 BUYING CRITERIA
                    FIGURE 26 KEY BUYING CRITERIA, BY APPLICATION
                    TABLE 7 KEY BUYING CRITERIA, BY APPLICATION
    5.1 CASE STUDY ANALYSIS
           5.10.1 TWITCH USES XILINX’S ULTRASCALE+ FPGA ACCELERATION AND NGCODEC’S VP9 ENCODER IP TRANSCODING SOLUTIONS FOR LIVE VIDEO STREAMING
           5.10.2 XILINX POWERS ALIBABA CLOUD FAAS WITH AI ACCELERATION SOLUTION FOR E-COMMERCE BUSINESS
           5.10.3 ACCELERATION OF DARK MATTER SEARCH USING ARTIFICIAL INTELLIGENCE
           5.10.4 ACCELERATION OF CFD USING XILINX ALVEO FPGA
           5.10.5 OTHER USE CASES
                    5.10.5.1 Development of FPGA-accelerated deep neural network by Myrtle
                    5.10.5.2 Intel’s deep learning solutions help Somatic’s robots
                    5.10.5.3 Operational improvements in smart cities using artificial intelligence (AI)
                    5.10.5.4 Use of artificial intelligence (AI) in diagnostic radiology
                    5.10.5.5 Development of Global Accelerator by Atlassian
                    5.10.5.6 Adoption of Zymer’s CloudTech by Cisco
                    5.10.5.7 Adoption of DSI’s Prefabricated Modular Data Center solution by University of California
                    5.10.5.8 Adoption of SCMA’s SAP technology
    5.11 TRADE DATA ANALYSIS
           TABLE 8 IMPORT DATA OF PARTS AND ACCESSORIES OF MACHINES, BY COUNTRY, 2017–2021 (USD MILLION)
           TABLE 9 EXPORT DATA OF PARTS AND ACCESSORIES OF MACHINES, BY COUNTRY, 2017–2021 (USD MILLION)
    5.12 PATENT ANALYSIS
           TABLE 10 NOTABLE PATENTS RELATED TO DATA CENTER ACCELERATOR MARKET
           TABLE 11 NUMBER OF PATENTS RELATED TO DATA CENTER ACCELERATOR MARKET IN LAST 10 YEARS
           FIGURE 27 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
           FIGURE 28 NUMBER OF PATENTS GRANTED PER YEAR, 2012–2021
    5.13 KEY CONFERENCES AND EVENTS, 2022–2023
           TABLE 12 DATA CENTER ACCELERATOR MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
    5.14 STANDARDS AND GUIDELINES FOR DATA CENTER ACCELERATOR MARKET
           5.14.1 STORAGE NETWORKING INDUSTRY ASSOCIATION (SNIA)
           5.14.2 TELECOMMUNICATION INFRASTRUCTURE STANDARD FOR DATA CENTERS
           5.14.3 DISTRIBUTED MANAGEMENT TASK FORCE (DMTF) STANDARD
           5.14.4 ELECTRONICS INDUSTRY ASSOCIATION (EIA)
           5.14.5 TELECOMMUNICATION INDUSTRY ASSOCIATION (TIA)
           5.14.6 DATA CENTER SITE INFRASTRUCTURE TIER STANDARD (UPTIME INSTITUTE)
           5.14.7 STORAGE NETWORKING INDUSTRY ASSOCIATION (SNIA) AND CLOUD DATA MANAGEMENT INFERENCE (CDMI)
    5.15 REGULATORY LANDSCAPE
           5.15.1 NORTH AMERICA
                    5.15.1.1 Export–Import regulations
           5.15.2 EUROPE
                    5.15.2.1 Restriction of Hazardous Substances (ROHS) and Waste Electrical and Electronic Equipment (WEEE) Directives
                    5.15.2.2 Registration, Evaluation, Authorization, and Restriction of Chemicals (REACH)
                    5.15.2.3 General Data Protection Regulation (GDPR)

6 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE (Page No. - 87)
    6.1 INTRODUCTION
           FIGURE 29 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE
           FIGURE 30 ASIC SEGMENT TO REGISTER HIGHEST CAGR IN DATA CENTER ACCELERATOR MARKET DURING FORECAST PERIOD
           TABLE 13 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018–2021 (USD MILLION)
           TABLE 14 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2022–2027 (USD MILLION)
           TABLE 15 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018–2021 (THOUSAND UNITS)
           TABLE 16 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2022–2027 (THOUSAND UNITS)
    6.2 CENTRAL PROCESSING UNIT (CPU)
           6.2.1 CENTRAL PROCESSING UNIT (CPU) CONSISTS OF FEW CORES THAT OPTIMIZE SEQUENTIAL SERIAL PROCESSING
                    TABLE 17 CPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                    TABLE 18 CPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                    TABLE 19 CPU: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 20 CPU: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
    6.3 GRAPHICS PROCESSING UNIT (GPU)
           6.3.1 GRAPHICS PROCESSING UNIT (GPU) DEVELOPED TO DELIVER HIGH-PERFORMANCE TO DATA CENTERS
                    TABLE 21 GPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                    TABLE 22 GPU: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                    TABLE 23 GPU: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 24 GPU: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
    6.4 FIELD PROGRAMMABLE GATE ARRAY (FPGA)
           6.4.1 FIELD PROGRAMMABLE GATE ARRAY (FPGA) USED PRIMARILY IN MACHINE LEARNING INFERENCE, VIDEO ALGORITHMS, AND SMALL-VOLUME SPECIALIZED APPLICATIONS
                    TABLE 25 FPGA: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                    TABLE 26 FPGA: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                    TABLE 27 FPGA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 28 FPGA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
    6.5 APPLICATION-SPECIFIC INTEGRATED CIRCUIT (ASIC)
           6.5.1 APPLICATION-SPECIFIC INTEGRATED CIRCUIT (ASIC) OFFERS MAXIMUM PERFORMANCE AT GIVEN POWER
                    TABLE 29 ASIC: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                    TABLE 30 ASIC: DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                    TABLE 31 ASIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 32 ASIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)

7 DATA CENTER ACCELERATOR MARKET, BY TYPE (Page No. - 99)
    7.1 INTRODUCTION
           FIGURE 31 DATA CENTER ACCELERATOR MARKET, BY TYPE
           FIGURE 32 CLOUD DATA CENTER ACCELERATOR MARKET TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
           TABLE 33 DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
           TABLE 34 DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
    7.2 CLOUD DATA CENTER
           7.2.1 RISING DEMAND FOR CO-PROCESSORS WITH INCREASE IN DATA TRANSFER TO CLOUD
                    TABLE 35 CLOUD DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018–2021 (USD MILLION)
                    TABLE 36 CLOUD DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2022–2027 (USD MILLION)
                    TABLE 37 CLOUD DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 38 CLOUD DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY REGION, 2022–2027 (USD MILLION)
    7.3 HIGH-PERFORMANCE COMPUTING (HPC) DATA CENTER
           7.3.1 RISING USE OF HIGH-PERFORMANCE COMPUTING (HPC) TO RUN HIGH-LEVEL COMPUTATIONAL ALGORITHMS THAT REQUIRE COMPLEX ANALYTICS
                    TABLE 39 HPC DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018–2021 (USD MILLION)
                    TABLE 40 HPC DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2022–2027 (USD MILLION)
                    TABLE 41 HPC DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 42 HPC DATA CENTER: DATA CENTER ACCELERATOR MARKET, BY REGION, 2022–2027 (USD MILLION)

8 DATA CENTER ACCELERATOR MARKET, BY APPLICATION (Page No. - 106)
    8.1 INTRODUCTION
           FIGURE 33 DATA CENTER ACCELERATOR MARKET, BY APPLICATION
           FIGURE 34 ENTERPRISE INFERENCE SEGMENT TO REGISTER HIGHEST CAGR IN DATA CENTER ACCELERATOR MARKET DURING FORECAST PERIOD
           TABLE 43 DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
           TABLE 44 DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
    8.2 DEEP LEARNING TRAINING
           8.2.1 DEEP LEARNING USES ARTIFICIAL NEURAL NETWORKS TO LEARN MULTIPLE LEVELS OF DATA
                    TABLE 45 DEEP LEARNING TRAINING: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE 2018–2021 (USD MILLION)
                    TABLE 46 DEEP LEARNING TRAINING: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2022–2027 (USD MILLION)
    8.3 PUBLIC CLOUD INFERENCE
           8.3.1 PUBLIC CLOUD INFERENCE REDUCES INFRASTRUCTURE COSTS
                    TABLE 47 PUBLIC CLOUD INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018–2021 (USD MILLION)
                    TABLE 48 PUBLIC CLOUD INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2022–2027 (USD MILLION)
    8.4 ENTERPRISE INFERENCE
           8.4.1 HYBRID CLOUD ARCHITECTURES ENABLE APPLICATIONS TO OPERATE WITH HIGH PERFORMANCE ON AMAZON WEB SERVICES
                    TABLE 49 ENTERPRISE INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018–2021 (USD MILLION)
                    TABLE 50 ENTERPRISE INFERENCE: DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2022–2027 (USD MILLION)

9 DATA CENTER ACCELERATOR MARKET, BY REGION (Page No. - 114)
    9.1 INTRODUCTION
           FIGURE 35 DATA CENTER ACCELERATOR MARKET, BY REGION
           FIGURE 36 DATA CENTER ACCELERATOR MARKET: REGIONAL SNAPSHOT
           TABLE 51 DATA CENTER ACCELERATOR MARKET, BY REGION, 2018–2021 (USD MILLION)
           TABLE 52 DATA CENTER ACCELERATOR MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.2 NORTH AMERICA
           FIGURE 37 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET SNAPSHOT
           TABLE 53 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 54 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 55 NORTH AMERICA: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 56 NORTH AMERICA: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 57 NORTH AMERICA: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 58 NORTH AMERICA: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 59 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
           TABLE 60 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.2.1 US
                    9.2.1.1 Large-scale deployment of modular and co-location facilities
                               TABLE 61 US: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 62 US: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.2.2 CANADA
                    9.2.2.1 Growing requirement for research and development (R&D) to create need for high-processing data
                               TABLE 63 CANADA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 64 CANADA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.2.3 MEXICO
                    9.2.3.1 Rising investments by tech companies to tap data center-related business opportunities
                               TABLE 65 MEXICO: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 66 MEXICO: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
    9.3 EUROPE
           FIGURE 38 EUROPE: DATA CENTER ACCELERATOR MARKET SNAPSHOT
           TABLE 67 EUROPE: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 68 EUROPE: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 69 EUROPE: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 70 EUROPE: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 71 EUROPE: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 72 EUROPE: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 73 EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
           TABLE 74 EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.3.1 UK
                    9.3.1.1 Increasing demand for artificial intelligence (AI)-based solutions
                               TABLE 75 UK: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 76 UK: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.3.2 GERMANY
                    9.3.2.1 Increased demand for data centers and co-location operators with growth in adoption of cloud computing and Industry 4.0 technologies
                               TABLE 77 GERMANY: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 78 GERMANY: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.3.3 NETHERLANDS
                    9.3.3.1 Increasing enhancements in digital infrastructures
                               TABLE 79 NETHERLANDS: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 80 NETHERLANDS: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.3.4 REST OF EUROPE
                    TABLE 81 REST OF EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 82 REST OF EUROPE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
    9.4 ASIA PACIFIC
           FIGURE 39 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET SNAPSHOT
           TABLE 83 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 84 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 85 ASIA PACIFIC: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 86 ASIA PACIFIC: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 87 ASIA PACIFIC: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 88 ASIA PACIFIC: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 89 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
           TABLE 90 ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.4.1 CHINA
                    9.4.1.1 Increasing investments in technological advancements
                               TABLE 91 CHINA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 92 CHINA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.4.2 JAPAN
                    9.4.2.1 Rising adoption of artificial intelligence (AI) by multinational companies across different industries
                               TABLE 93 JAPAN: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 94 JAPAN: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.4.3 SINGAPORE
                    9.4.3.1 Increasing use of data center cloud services by small and mid-sized companies
                               TABLE 95 SINGAPORE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 96 SINGAPORE: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.4.4 INDIA
                    9.4.4.1 Rising data center operations with high demand for IT services from domestic and international markets
                               TABLE 97 INDIA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 98 INDIA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.4.5 AUSTRALIA
                    9.4.5.1 Rising number of modular data centers
                               TABLE 99 AUSTRALIA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 100 AUSTRALIA: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.4.6 REST OF ASIA PACIFIC
                    TABLE 101 REST OF ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 102 REST OF ASIA PACIFIC: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
    9.5 ROW
           TABLE 103 ROW: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 104 ROW: DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 105 ROW: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 106 ROW: HPC DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 107 ROW: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
           TABLE 108 ROW: CLOUD DATA CENTER ACCELERATOR MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
           TABLE 109 ROW: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
           TABLE 110 ROW: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.5.1 BRAZIL
                    9.5.1.1 Expanding computing services market
                               TABLE 111 BRAZIL: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                               TABLE 112 BRAZIL: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)
           9.5.2 OTHERS IN ROW
                    TABLE 113 OTHERS IN ROW: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 114 OTHERS IN ROW: DATA CENTER ACCELERATOR MARKET, BY TYPE, 2022–2027 (USD MILLION)

10 COMPETITIVE LANDSCAPE (Page No. - 151)
     10.1 INTRODUCTION
     10.2 STRATEGIES ADOPTED BY KEY PLAYERS/RIGHT TO WIN
             TABLE 115 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN THE DATA CENTER ACCELERATOR MARKET
             10.2.1 PRODUCT PORTFOLIO
             10.2.2 REGIONAL FOCUS
             10.2.3 MANUFACTURING FOOTPRINT
             10.2.4 ORGANIC/INORGANIC GROWTH STRATEGIES
     10.3 MARKET SHARE ANALYSIS, 2021
             TABLE 116 DATA CENTER ACCELERATOR MARKET: DEGREE OF COMPETITION, 2021
     10.4 FIVE-YEAR COMPANY REVENUE ANALYSIS
             FIGURE 40 FIVE-YEAR SEGMENTAL REVENUE ANALYSIS OF TOP FIVE MARKET PLAYERS
     10.5 COMPANY EVALUATION QUADRANT
             10.5.1 STARS
             10.5.2 EMERGING LEADERS
             10.5.3 PERVASIVE PLAYERS
             10.5.4 PARTICIPANTS
                        FIGURE 41 COMPANY EVALUATION QUADRANT: DATA CENTER ACCELERATOR MARKET, 2021
     10.6 COMPANY FOOTPRINT
             TABLE 117 OVERALL COMPANY FOOTPRINT
             TABLE 118 APPLICATION: COMPANY FOOTPRINT
             TABLE 119 REGION: COMPANY FOOTPRINT
     10.7 COMPETITIVE BENCHMARKING
             10.7.1 STARTUP EVALUATION MATRIX: DATA CENTER ACCELERATOR MARKET
                        TABLE 120 DATA CENTER ACCELERATOR MARKET: LIST OF KEY STARTUPS/SMES
                        TABLE 121 DATA CENTER ACCELERATOR MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     10.8 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT
             10.8.1 PROGRESSIVE COMPANIES
             10.8.2 RESPONSIVE COMPANIES
             10.8.3 DYNAMIC COMPANIES
             10.8.4 STARTING BLOCKS
                        FIGURE 42 SME EVALUATION QUADRANT: DATA CENTER ACCELERATOR MARKET, 2021
     10.9 COMPETITIVE SCENARIOS AND TRENDS
             10.9.1 DATA CENTER ACCELERATOR MARKET: PRODUCT LAUNCHES, JANUARY 2020–AUGUST 2022
             10.9.2 DATA CENTER ACCELERATOR MARKET: DEALS, JANUARY 2020–AUGUST 2022

11 COMPANY PROFILES (Page No. - 173)
(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))* 
     11.1 INTRODUCTION
     11.2 KEY PLAYERS
             11.2.1 INTEL CORPORATION
                        TABLE 122 INTEL CORPORATION: COMPANY OVERVIEW
                        FIGURE 43 INTEL CORPORATION: COMPANY SNAPSHOT
             11.2.2 NVIDIA CORPORATION
                        TABLE 123 NVIDIA CORPORATION: COMPANY OVERVIEW
                        FIGURE 44 NVIDIA CORPORATION: COMPANY SNAPSHOT
             11.2.3 ADVANCED MICRO DEVICES, INC
                        TABLE 124 ADVANCED MICRO DEVICES, INC: COMPANY OVERVIEW
                        FIGURE 45 ADVANCED MICRO DEVICES, INC: COMPANY SNAPSHOT
             11.2.4 MICRON TECHNOLOGY, INC.
                        TABLE 125 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
                        FIGURE 46 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
             11.2.5 QUALCOMM TECHNOLOGIES, INC.
                        TABLE 126 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
                        FIGURE 47 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
             11.2.6 IBM CORPORATION
                        TABLE 127 IBM CORPORATION: COMPANY OVERVIEW
                        FIGURE 48 IBM CORPORATION: COMPANY SNAPSHOT
             11.2.7 GOOGLE
                        TABLE 128 GOOGLE: COMPANY OVERVIEW
                        FIGURE 49 GOOGLE: COMPANY SNAPSHOT
             11.2.8 MARVELL
                        TABLE 129 MARVELL: COMPANY OVERVIEW
                        FIGURE 50 MARVELL: COMPANY SNAPSHOT
             11.2.9 ACHRONIX SEMICONDUCTOR CORPORATION
                        TABLE 130 ACHRONIX SEMICONDUCTOR CORPORATION: COMPANY OVERVIEW
             11.2.10 DELL INC.
                        TABLE 131 DELL INC.: COMPANY OVERVIEW
                        FIGURE 51 DELL INC.: COMPANY SNAPSHOT
     11.3 OTHER PLAYERS
             11.3.1 GRAPHCORE
             11.3.2 HUAWEI TECHNOLOGIES
             11.3.3 FUJITSU
             11.3.4 WAVE COMPUTING
             11.3.5 SAMBANOVA SYSTEMS, INC.
             11.3.6 GYRFALCON TECHNOLOGY INC.
             11.3.7 NEC CORPORATION
             11.3.8 LATTICE SEMICONDUCTOR
             11.3.9 ENFLAME TECHNOLOGY
             11.3.10 MICROCHIP TECHNOLOGY INC.
             11.3.11 LEAPMIND INC.
             11.3.12 QNAP SYSTEMS, INC.
             11.3.13 ADVANTECH CO., LTD.
             11.3.14 SEMPTIAN
             11.3.15 CISCO SYSTEMS, INC.
*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies. 

12 APPENDIX (Page No. - 238)
     12.1 DISCUSSION GUIDE
     12.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     12.3 CUSTOMIZATION OPTIONS
     12.4 RELATED REPORTS
     12.5 AUTHOR DETAILS

To estimate the size of the Data Center Accelerator market, four major activities were performed. Secondary research was conducted extensively to collect information regarding the market, the peer market, and the parent market. This was followed by a primary research study involving industry experts across the value chain to validate the findings, assumptions, and sizing. The total market size has been estimated using both top-down and bottom-up approaches. Then, market breakdown and data triangulation methods were used to estimate the market size of segments and subsegments.

Secondary Research

Secondary sources such as Hoovers, Bloomberg BusinessWeek, and Factiva were referred for this research study to identify and collect information. These secondary sources included annual reports, press releases and investor presentations of companies, white papers, certified publications, articles by recognized authors, gold-standard and silver-standard websites, regulatory bodies, trade directories, and databases.

Primary Research

After understanding and analyzing the Data Center Accelerator market through secondary research, extensive primary research was conducted. A number of primary interviews have been conducted with key opinion leaders from supply-side vendors and demand-side vendors in four major regions - North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW). Qualitative and quantitative information on the market has been obtained by interviewing a variety of sources on both the supply and demand sides. The breakdown of primary respondents is as follows-

Breakdown of Primary Interviews

Data Center Accelerator Market Size, and Share

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

Market Size Estimation

The total size of the Data Center Accelerator market has been estimated and validated using both top-down and bottom-up approaches. Furthermore, these methods have also been used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size is as follows:

  • Identifying different data center accelerators for various processors such as CPUs, GPUs, ASIC, and FPGA processors in several applications
  • Analyzing the adoption rate of data center accelerators based on different applications such as deep learning training, public cloud inference, enterprise inference
  • Analyzing the trend of data center accelerators used in different geographic regions
  • Referring to various paid and unpaid sources, such as annual reports, press releases, white papers, and databases, to validate the market estimations
  • Conducting discussions with key opinion leaders about different technological trends, changing market environments, and emerging technologies to analyze the breakup of the scope of work by major data center accelerator’s product providers
  • The key players in the data center accelerator market have been identified through secondary research, and their market share in the respective regions has been determined through primary and secondary research.
  • Study of annual and financial reports of top players and interviews with experts such as CEOs, VPs, directors, and marketing executives for key insights (quantitative and qualitative).
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
  • All the possible parameters that affect the markets covered in this research study have been accounted for, viewed in detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data.

Global Data Center Accelerator Market Size: Bottom-Up Approach

Data Center Accelerator Market Size, and Bottom-Up Approach

  • Initially, more than 35 companies offering data center accelerators were identified. Their offerings have been 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 has been categorized into different segments.
  • To derive the size of the global data center accelerator market, global server shipments of top players for each device type that have been considered in the scope of the report have been tracked.
  • A suitable penetration rate has been assigned for the shipment of each of these device types to derive the shipments of data center accelerators.
  • Using the ASP at which a particular company offers its devices, we have derived the data center accelerator market based on different device types. The ASP of each device has been identified based on secondary sources and validated from primaries.
  • For the projected market values of each device type, the Y-o-Y projections showed a steep growth initially until 2019. COVID-19 has not impacted the 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 accelerators for different applications.
  • For deriving the CAGR, the market trend analysis has been carried out by understanding the industry penetration rate and the demand and supply of data center accelerators in different applications.
  • We have also tracked the data center accelerator market through the data sanity method. The revenues of more than 25 key providers have been analyzed through annual reports and press releases and summed to derive the overall market size.
  • For each company, a percentage has been assigned to its overall revenue or, in a few cases, segmental revenue to derive its revenue from the data center accelerator market. This percentage for each company is assigned based on the company’s product portfolio and its range of data center accelerator offerings.
  • The estimates at every level have been verified and crosschecked by discussing with key opinion leaders, including CXOs, directors, operation managers, as well as domain experts at MarketsandMarkets.
  • Various paid and unpaid information sources, such as annual reports, press releases, white papers, and databases, have been studied.

Global Data Center Accelerator Market Size: Top-Down Approach

Data Center Accelerator Market Size, and Top-Down Approach

  • The size of the data center accelerator market has been estimated through the data sanity of 35 major companies.
  • The growth of the data center accelerator market witnessed an upward 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 in various application areas of the market.
  • Types of data center accelerators, their features and properties, geographic presence, and key applications served by all players in the data center accelerator market have been studied to estimate and arrive at the percentage split of the segments.
  • Different types of data center accelerators and their penetration into the application segments have also been studied.
  • The split for the data center accelerator market by type, processor, and application based on secondary research has been estimated.
  • The demand generated by companies operating in different application segments has been analyzed.
  • Multiple discussions with key opinion leaders across major companies involved in the development of data center accelerators and related components have been conducted to validate the market split by type, product, and application.
  • The regional splits have been 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 Triangulation

With the overall market size derived from the estimation process described previously, the global market was divided into several segments and subsegments. In order to gather the exact statistics for segments and subsegments, the data triangulation and breakdown procedures have been applied wherever possible. By analyzing various factors and trends from both the demand and supply sides, the data has been triangulated. Furthermore, the data center accelerator market has been validated using both top-down and bottom-up approaches.

Report Objectives

  • To describe and forecast the size of the data center accelerator market based on type, processor type, application, and region, in terms of value
  • To forecast the size of the data center accelerator market based on type, processor type, application, and region segments, in terms of value
  • To forecast the size of the data center accelerator market based on type in terms of volume
  • To describe and forecast the market for four main regions, namely, North America, Asia Pacific, Europe, and the Rest of the World (RoW), in terms of value
  • To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
  • To provide a detailed overview of the value chain of the data center accelerator market ecosystem, along with the average selling prices of product types
  • To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and their contributions to the overall market
  • To strategically analyze the ecosystem, Porter’s five forces, regulations, patent landscape, trade landscape, and case studies pertaining to the market under study
  • To analyze opportunities in the market for the stakeholders by identifying high-growth segments in the market
  • To strategically profile the key players and provide a detailed competitive landscape of the data center accelerator market
  • To analyze strategic approaches adopted by the leading players in the data center accelerator market, including product launches/developments/collaborations/partnerships/expansions, and mergers & acquisitions
  • To strategically profile key players and provide details of the current competitive landscape
  • To analyze strategic approaches adopted by players in the data center accelerator, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships

Available Customizations:

With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:

Company Information:

  • According to the client’s need, detailed analysis and profiling of additional market players based on various blocks of the value chain will be included.
Report Code
SE 6553
Published ON
Nov, 2022
Choose License Type
BUY NOW
  • SHARE
X
Request Customization
Speak to Analyst
Speak to Analyst
OR FACE-TO-FACE MEETING
PERSONALIZE THIS RESEARCH
  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
REQUEST A FREE CUSTOMIZATION
LET US HELP YOU!
  • What are the Known and Unknown Adjacencies Impacting the Data Center Accelerator Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
CUSTOMIZED WORKSHOP REQUEST
+1-888-600-6441
  • Call Us
  • +1-888-600-6441 (Corporate office hours)
  • +1-888-600-6441 (US/Can toll free)
  • +44-800-368-9399 (UK office hours)
CONNECT WITH US
ABOUT TRUST ONLINE
©2023 MarketsandMarkets Research Private Ltd. All rights reserved
DMCA.com Protection Status Website Feedback