Data Center Accelerator Market was valued at USD 9.14 billion in 2023 and is expected to reach USD 55.76 billion by 2032, growing at a CAGR of 22.31% from 2024-2032. This report includes insights into technological advancements, investment trends, cost dynamics, data processing capabilities, and power consumption patterns shaping the market.
Driven by increasing demand for high-performance computing, AI-based workloads, and cloud deployment, data center accelerators increase processing performance with less energy usage. Firms are investing extensively in GPU, FPGA, and ASIC technologies to maximize workloads. Growing data traffic and changing pricing models also drive market growth. Energy efficiency issues are driving innovations in power management solutions further. With the growth in AI, IoT, and edge computing, high-speed, and efficient computing solutions will keep on fueling the data center accelerator market.
U.S. Data Center Accelerator Market was valued at USD 2.51 billion in 2023 and is expected to reach USD 15.76 billion by 2032, growing at a CAGR of 22.67% from 2024-2032
This is fueled by the increasing deployment of AI, machine learning, and cloud computing, which call for high-performance computing solutions. Growing data traffic and workload processing needs are making companies invest in GPU, FPGA, and ASIC-based accelerators to improve efficiency.
Further driving demand are investments in AI infrastructure by government and private initiatives, increasing hyperscale data centers, and the move to edge computing. Energy efficiency issues are also driving up adoption of power-efficient accelerators. As enterprises compete for increased processing speed and reduced latency, demand for advanced computing in data centers will see increasing growth.
Drivers
Growing AI and Machine Learning Workloads Boost Demand for High-Performance Data Center Accelerators to Enhance Speed, Efficiency, and Scalability.
The fast-paced development of AI and machine learning workloads is transforming data center infrastructure, calling for high-performance accelerators to process sophisticated workloads. Cloud providers and businesses are increasingly putting money into GPUs, FPGAs, and ASICs to maximize computing capacity and efficiency. As AI-based workloads continue to grow, the demand for faster data processing, reduced latency, and greater throughput is fueling adoption. These next-generation accelerators facilitate real-time analysis, deep learning, and extensive AI models and hence are vital for contemporary data centers. Further, the transformation toward AI-based cloud services and intelligent automation is also propelling accelerator technology innovations. As business houses are making AI capabilities their top priority, the data center accelerator market is on the threshold of massive growth, promising enhanced performance and scalability across sectors.
Restraints
High Deployment Costs of GPUs, FPGAs, and ASICs Restrict Data Center Accelerator Adoption, Making Integration Challenging for Smaller Enterprises.
The deployment of high-speed data center accelerators is hampered by enormous initial investment required for GPUs, FPGAs, and ASICs. They need a high amount of investment in hardware, software, and infrastructure to keep up with them, rendering their integration complex for small businesses. Moreover, regular maintenance and operational costs also contribute to the financial load. Most companies are reluctant to implement accelerators because of cost limitations and lack of returns on investment. The high expense also affects cloud providers, and they have to charge end users more for their services. Also, as the workload of AI increases, firms have to regularly update their accelerators, increasing long-term costs. Lacking affordable solutions, mass adoption is limited, hindering the overall growth of the data center accelerator market even as demand for high-performance computing increases.
Opportunities
Rising AI-Powered Cloud Services Boost Demand for High-Performance Data Center Accelerators to Enhance Computational Speed, Scalability, and Efficiency.
Growing dependence on AI-powered cloud computing is driving demand for high-performance data center accelerators. With business moving towards AI-based solutions for automation, analytics, and deep learning, cloud vendors are updating their infrastructure with GPUs, FPGAs, and ASICs to address growing computational needs. Scalability and efficiency of AI services in the cloud make accelerators a prerequisite for real-time processing and heavy AI workloads. Furthermore, AI-as-a-Service (AIaaS) advancements are compelling investments in customized accelerators for better performance and lower latency. As companies utilize cloud platforms to train and deploy AI models, the need for high-speed, low-power accelerators is accelerating, offering massive growth opportunities for data center infrastructure and technology companies.
Challenges
High Heat Generation and Power Consumption in Data Center Accelerators Drive Demand for Advanced Cooling Solutions and Energy-Efficient Designs.
The use of high-performance data center accelerators is increasingly threatened by heat and power efficiency concerns. GPUs, FPGAs, and ASICs employed for AI and high-performance computing are extremely hot, and hence, they need advanced cooling technologies to avoid thermal throttling and system failure. Conventional air cooling is no longer sufficient, and therefore, data centers are spending on liquid cooling and other advanced thermal management technologies. The high energy draw of these accelerators also increases operational expenses and sustainability issues, and hence, there is a move towards more energy-efficient architectures. As the demand for AI workloads increases, heat dissipation and power optimization will be essential to sustain performance and achieve data center accelerator infrastructure scalability in the long term.
By Processor
The GPU segment led the Data Center Accelerator Market in 2023 with the maximum revenue share of around 48%. This leadership is fueled by GPUs' enhanced parallel processing power, which makes them perfect for AI, deep learning, and high-performance computing applications. Large cloud vendors and enterprises use GPUs extensively to speed up intricate calculations, improving efficiency and scalability. Besides, ongoing innovations in GPU architectures and rising demand for AI-based applications further affirm their firm market leadership, assuring long-term dominance in data center acceleration.
The FPGA segment is expected to expand at the fastest CAGR of approximately 25.06% during 2024 to 2032. This huge growth is the result of the flexibility, reprogrammability, and efficient processing of diversified workloads with FPGAs. In comparison to fixed hardware architectures, the real-time AI inference, network, and edge computing applications provide FPGAs with the customization advantage. Due to their efficiency in terms of power consumption, FPGAs are very apt for changing AI workloads and are increasingly gaining traction in both data centers as well as in enterprise computing facilities.
By Application
Deep Learning Training was the largest Data Center Accelerator Market segment in 2023, with the largest revenue share of about 43%. Its dominance is supported by the increased usage of AI models that use high computational powers to train advanced neural networks. Cloud providers and data centers make significant investments in high-performance TPUs, FPGAs, and GPUs in order to expedite deep learning workloads. The increasing need for large-scale AI applications such as natural language processing and computer vision also strengthens the leadership of the segment in the accelerator market.
The Enterprise Interface segment is expected to grow at the fastest CAGR of around 24.90% from 2024 to 2032. This high growth is attributed to rising enterprise usage of AI-powered applications, which necessitates improved interface solutions for an unobstructed integration with the current IT infrastructure. Companies are using data center accelerators to streamline AI workloads, automation, and decision-making functions. With the growth of AI-powered operations at the top of enterprise agendas, efficient, high-speed interfaces for managing data processing and connectivity are increasingly in demand, fueling the growth of the segment.
By Type
The Cloud Data Center segment dominated the Data Center Accelerator Market in 2023 with the largest share of about 62% in terms of revenue and is projected to register the fastest CAGR of about 23.20% during the forecast period from 2024 to 2032. The reason behind this is the high growth of cloud computing, rising implementation of AI-based workloads, and the heightened need for scalable and high-performance infrastructure. Large cloud service providers spend heavily on accelerators such as GPUs, FPGAs, and ASICs to support AI processing and deep learning. The growth of the segment is driven by companies migrating from on-premises to cloud-based AI solutions due to cost savings, flexibility, and improved data management. Also driving cloud-based accelerator adoption is growth in AI-as-a-Service (AIaaS) and hyperscale data centers.
Regional Analysis
North America dominated the Data Center Accelerator Market in 2023, holding the highest revenue share of approximately 38%. This dominance is driven by the strong presence of major cloud service providers, technology giants, and AI-driven enterprises investing heavily in high-performance computing infrastructure. The region's early adoption of AI, deep learning, and edge computing solutions further strengthens market growth. Additionally, significant government and private sector investments in AI research, along with advancements in semiconductor technology, contribute to North America's leadership in data center acceleration.
Asia Pacific is expected to grow at the fastest CAGR of about 24.56% from 2024 to 2032. This rapid growth is fueled by increasing digital transformation, expanding cloud computing adoption, and rising AI-driven applications across industries. Countries like China, Japan, and India are heavily investing in AI infrastructure, boosting demand for data center accelerators. Additionally, the growing presence of hyperscale data centers and government initiatives supporting AI and high-performance computing further drive the region’s accelerated market expansion.
Advanced Micro Devices, Inc. (AMD) (EPYC Processors, Radeon Instinct Accelerators)
Dell Inc. (PowerEdge Servers, Dell EMC Ready Solutions for AI)
IBM Corporation (IBM Power Systems AC922, IBM Elastic Storage System)
Intel Corporation (Xeon Scalable Processors, Habana Gaudi AI Training Processors)
Lattice Semiconductor (Lattice sensAI Solutions, Lattice Propel Design Environment)
Lenovo Ltd. (ThinkSystem Servers, Lenovo Neptune Liquid Cooling)
Marvell Technology Inc. (ThunderX2 Arm Processors, OCTEON Fusion Processors)
Microchip Technology Inc. (PolarFire FPGAs, SmartFusion2 SoC FPGAs)
Micron Technology, Inc. (3D NAND Flash Memory, DDR5 DRAM)
NEC Corporation (SX-Aurora TSUBASA Vector Engine, NEC Express5800 Servers)
NVIDIA Corporation (A100 Tensor Core GPUs, DGX Systems)
Qualcomm Incorporated (Cloud AI 100 Accelerators, Snapdragon Compute Platforms)
Synopsys Inc. (DesignWare IP for AI, Synopsys AI Accelerator)
Google (Tensor Processing Units (TPUs), Cloud TPU)
Amazon Web Services (AWS) (Inferentia Chips, Trainium Chips)
Microsoft (Project Brainwave, Azure AI Accelerators)
Cisco Systems, Inc. (Cisco UCS C-Series Rack Servers, Cisco Nexus 9000 Series Switches)
Broadcom Inc. (Broadcom ASICs, Tomahawk Switch Series)
Arista Networks (Arista 7800R3 Series, Arista 750 Series)
Fujitsu (Fujitsu PRIMERGY Servers, Fujitsu AI Testbed)
Oracle Corporation (Oracle Exadata Database Machine, Oracle Cloud Infrastructure)
Accenture (Accenture AI Engine, Accenture Intelligent Cloud & Infrastructure)
SAS (SAS Viya, SAS Analytics for IoT)
In 2024, AMD announced an expanded Instinct GPU roadmap, introducing the MI325X accelerator with 288GB HBM3E memory for Q4 2024 and the MI350 series in 2025, offering a 35x AI inference performance boost.
In 2024, AMD announced plans to expand its data center AI capabilities by acquiring ZT Systems. This move aims to enhance AI system efficiency and scalability.
In November 2024, Dell Technologies introduced new servers and integrated rack solutions as part of its Dell AI Factory infrastructure portfolio, aiming to accelerate enterprise AI adoption by enhancing performance and scalability.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 9.14 Billion |
| Market Size by 2032 | USD 55.76 Billion |
| CAGR | CAGR of 22.31% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Processor (GPU, CPU, FPGA, ASIC) • By Type (HPC Data Center, Cloud Data Center) • By Application (Deep Learning Training, Public Cloud Interface, Enterprise Interface) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Advanced Micro Devices, Inc. (AMD), Dell Inc., IBM Corporation, Intel Corporation, Lattice Semiconductor, Lenovo Ltd., Marvell Technology Inc., Microchip Technology Inc., Micron Technology, Inc., NEC Corporation, NVIDIA Corporation, Qualcomm Incorporated, Synopsys Inc., Google, Amazon Web Services (AWS), Microsoft, Cisco Systems, Inc., Broadcom Inc., Arista Networks, Fujitsu, Oracle Corporation, Accenture, SAS |
ANS: Data Center Accelerator Market was valued at USD 9.14 billion in 2023 and is expected to reach USD 55.76 billion by 2032, growing at a CAGR of 22.31% from 2024-2032.
ANS: North America led with a 38% market share in 2023, attributed to the presence of major cloud providers, AI infrastructure investments, and advanced computing technologies.
ANS: The Cloud Data Center segment held a 62% revenue share in 2023, fueled by enterprises shifting to cloud-based AI solutions for scalability, flexibility, and cost efficiency.
ANS: GPUs offer superior parallel processing capabilities, making them ideal for AI, deep learning, and HPC workloads, leading to their widespread adoption in data centers.
ANS: The U.S. Data Center Accelerator Market is projected to grow at a CAGR of 22.67%, driven by AI deployment, cloud computing expansion, and hyperscale data center investments.
Table of Contents:
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Technological Trends & Performance Metrics
5.2 Investment & Funding Insights
5.3 Cost & Pricing Trends
5.4 Data Traffic & Workload Processing
5.5 Power & Energy Consumption Data
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Data Center Accelerator Market Segmentation, By Type
7.1 Chapter Overview
7.2 HPC Data Center
7.2.1 HPC Data Center Market Trends Analysis (2020-2032)
7.2.2 HPC Data Center Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Cloud Data Center
7.3.1 Cloud Data Center Market Trends Analysis (2020-2032)
7.3.2 Cloud Data Center Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Data Center Accelerator Market Segmentation, By Application
8.1 Chapter Overview
8.2 Deep Learning Training
8.2.1 Deep Learning Training Market Trends Analysis (2020-2032)
8.2.2 Deep Learning Training Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Public Cloud Interface
8.3.1 Public Cloud Interface Market Trends Analysis (2020-2032)
8.3.2 Public Cloud Interface Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Enterprise Interface
8.4.1 Enterprise Interface Market Trends Analysis (2020-2032)
8.4.2 Enterprise Interface Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Data Center Accelerator Market Segmentation, By Processor
9.1 Chapter Overview
9.2 GPU
9.2.1 GPU Market Trends Analysis (2020-2032)
9.2.2 GPU Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 CPU
9.3.1 CPU Market Trends Analysis (2020-2032)
9.3.2 CPU Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 FPGA
9.4.1 FPGA Market Trends Analysis (2020-2032)
9.4.2 FPGA Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 ASIC
9.5.1 ASIC Market Trends Analysis (2020-2032)
9.5.2 ASIC Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Data Center Accelerator Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.4 North America Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.5 North America Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.6.2 USA Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.6.3 USA Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.7.2 Canada Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.7.3 Canada Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.8.2 Mexico Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.8.3 Mexico Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Data Center Accelerator Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.6.2 Poland Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.6.3 Poland Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.7.2 Romania Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.7.3 Romania Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Data Center Accelerator Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.4 Western Europe Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.5 Western Europe Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.6.2 Germany Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.6.3 Germany Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.7.2 France Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.7.3 France Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.8.2 UK Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.8.3 UK Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.9.2 Italy Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.9.3 Italy Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.10.2 Spain Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.10.3 Spain Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.13.2 Austria Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.13.3 Austria Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Data Center Accelerator Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.4 Asia Pacific Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.5 Asia Pacific Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.6.2 China Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.6.3 China Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.7.2 India Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.7.3 India Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.8.2 Japan Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.8.3 Japan Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.9.2 South Korea Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.9.3 South Korea Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.10.2 Vietnam Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.10.3 Vietnam Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.11.2 Singapore Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.11.3 Singapore Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.12.2 Australia Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.12.3 Australia Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Data Center Accelerator Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.4 Middle East Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.5 Middle East Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.6.2 UAE Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.6.3 UAE Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Data Center Accelerator Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.4 Africa Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.5 Africa Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Data Center Accelerator Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.4 Latin America Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.5 Latin America Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.6.2 Brazil Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.6.3 Brazil Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.7.2 Argentina Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.7.3 Argentina Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.8.2 Colombia Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.8.3 Colombia Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Data Center Accelerator Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Data Center Accelerator Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Data Center Accelerator Market Estimates and Forecasts, By Processor (2020-2032) (USD Billion)
11. Company Profiles
11.1 Advanced Micro Devices, Inc. (AMD)
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Dell Inc.
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 IBM Corporation
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Intel Corporation
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Lattice Semiconductor
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Lenovo Ltd.
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Marvell Technology Inc.
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Microchip Technology Inc.
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Micron Technology, Inc.
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 NEC Corporation
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Processor
GPU
CPU
FPGA
ASIC
By Type
HPC Data Center
Cloud Data Center
By Application
Deep Learning Training
Public Cloud Interface
Enterprise Interface
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Regional Coverage:
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Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
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UK
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Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
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With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
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Detailed analysis and profiling of additional market players
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