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
[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 Forecast to 2027
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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
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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
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Report Metric |
Details |
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Market Size Availability for Years |
2018–2027 |
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Base Year |
2021 |
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Forecast Period |
2022–2027 |
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Forecast Units |
Value (USD Billion) and Volume (Million Units) |
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Segments Covered |
By Processor Type, Type, Application, and Region |
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Geographies Covered |
North America, Europe, Asia Pacific, and RoW |
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Companies Covered |
Intel Corporation (US), NVIDIA Corporation (US), Advanced Micro Devices, Inc (US), Micron Technology, Inc. (US), and Qualcomm Technologies, Inc. (US). |
Data Center Accelerator Market Highlights
This research report categorizes the data center accelerator market by type, processor type, application, and geography
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Aspect |
Details |
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Based on Type: |
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Based on Processor Type: |
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Based on Application: |
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Based on the Region: |
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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):
Who are the key players in the Data Center Accelerator market? What are the major growth strategies they have taken to strengthen their position in the market?
Major companies operating in the data center accelerator market are Intel Corporation (US), NVIDIA Corporation (US), Advanced Micro Devices, Inc (US), Micron Technology, Inc. (US), and Qualcomm Technologies, Inc. (US). Product launches and developments, acquisitions, collaborations, and agreements were among the major strategies adopted by these players to compete in the market.
What are the new opportunities for emerging players in the data center accelerator market?
Increasing demand for FPGA-based accelerators, rising need for coprocessors with the slowdown in Moore’s Law, an increasing number of companies offering machine learning as a service are expected to offer substantial opportunities to data center accelerator manufacturers during the forecast period.
What is the new technology in the data center accelerator market offering higher growth potential?
The growing adoption of GPU cloud for machine learning is projected to increase the future applications of GPU in various nascent HPC applications across sectors. Further, the improvements in data security due to hardware-level virtualization and the increase in the number of certifications related to performance, safety, and efficiency being offered by the cloud GPU could positively impact their adoption in the coming years in several sectors, such as aerospace and defense, healthcare, and BFSI.
AI will play a crucial role in several end-user applications currently and in the future. AI chips are the foundation block for any AI use case or application. The different AI chips are CPUs, GPUs, FPGAs, and ASICs. Traditionally, CPUs and GPUs were being used for simple AI applications. However, CPUs are becoming less useful as AI technology advances, and specialized AI chips are gaining prominence.
Which region will offer lucrative growth for the data center accelerator market by 2027?
Asia Pacific is likely to lead the data center accelerator market during the forecast period. The region is also expected to witness the highest CAGR during the forecast period. The European region is expected to witness the second-highest growth rate between 2022 to 2027.
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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
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
- 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
- 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.
Growth opportunities and latent adjacency in Data Center Accelerator Market