The global data center accelerator market was valued at USD 13.32 billion in 2022 and it is predicted to surpass around USD 110.38 billion by 2032 with a CAGR of 23.55% from 2023 to 2032.
Key Pointers
Report Scope of the Data Center Accelerator Market
Report Coverage | Details |
Market Size in 2022 | USD 13.32 billion |
Revenue Forecast by 2032 | USD 110.38 billion |
Growth rate from 2023 to 2032 | CAGR of 23.55% |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Regions Covered | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
Companies Covered | Advanced Micro Devices, Inc; NVIDIA Corporation; Intel Corporation; Qualcomm Technologies, Inc.; Advantech Co., Ltd.; Achronix Semiconductor Corporation; Micron Technology, Inc.; Marvell; KIOXIA Holdings Corporation; and Western Digital Technologies |
Factors such as the growing deployment of data centers & cloud-based services are driving the growth of the data center accelerator market. Additionally, the increasing adoption of technologies such as artificial intelligence (AI), internet of things (IoT), & big data analytics is boosting the data center accelerator market growth.
The COVID-19 pandemic positively impacted the data center accelerator market as the pandemic shifted focus towards a digital transformation. Many colleges and institutions quickly shifted to operating and delivering courses online due to the widespread lockdown. The education sector is highly responsive of the cloud technologies to carry out and handle tuition, assessments, and admission exams. According to the World Economic Forum (WEF), approximately 730,000 K-12 students in Wuhan province attended classes online after the government instructed education institutes to carry out classes online in February 2020.
Adaptive acceleration for the modern data center is useful in high-performance computing (HPC), network acceleration, database & data analytics, computational storage, video & imaging, and financial technology. Data center acceleration handles various HPC workloads such as genomics, astrophysics, big data analysis, machine learning, modular dynamics, cyber security, oil & gas, and weather & climate.
There are some challenges associated with the programming and deployment of multiple FPGAs. The initial difficulty in programming a cluster of FPGAs determines how to abstract and utilize the communication links between the FPGAs, as well as how to connect the kernels on numerous FPGAs. The second issue with establishing an FPGA cluster is determining how to distribute, coordinate, and administer a multi-FPGA application once it has been constructed.
IoT is expected to produce significant amounts of data in industrial applications. For instance, according to Quicksilver Capital, a smart factory will produce 5 petabytes of data every week, while an offshore oil rig is estimated to generate 1 to 2 terabytes of data every day. Massive volumes of data are transformed into insights and value by new business models that use artificial intelligence, platforms, and algorithms. According to the World Economic Forum, digitally enabled platform business models will generate 70% of new economic value over the next decade.
Data Center Accelerator Market Segmentations:
By Processor | By Type | By Application |
GPU CPU FPGA ASIC |
HPC Data Center Cloud Data Center |
Deep Learning Training Public Cloud Interface Enterprise Interface |
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Processor Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Data Center Accelerator Market
5.1. COVID-19 Landscape: Data Center Accelerator Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Data Center Accelerator Market, By Processor
8.1. Data Center Accelerator Market, by Processor, 2023-2032
8.1.1 GPU
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. CPU
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. FPGA
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. ASIC
8.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Data Center Accelerator Market, By Type
9.1. Data Center Accelerator Market, by Type, 2023-2032
9.1.1. HPC Data Center
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Cloud Data Center
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Data Center Accelerator Market, By Application
10.1. Data Center Accelerator Market, by Application, 2023-2032
10.1.1. Deep Learning Training
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Public Cloud Interface
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Enterprise Interface
10.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Data Center Accelerator Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Processor (2020-2032)
11.1.2. Market Revenue and Forecast, by Type (2020-2032)
11.1.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Processor (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Type (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Processor (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Type (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Processor (2020-2032)
11.2.2. Market Revenue and Forecast, by Type (2020-2032)
11.2.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Processor (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Type (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Processor (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Type (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Processor (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Type (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Processor (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Type (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Processor (2020-2032)
11.3.2. Market Revenue and Forecast, by Type (2020-2032)
11.3.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Processor (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Type (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Processor (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Type (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Processor (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Type (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Processor (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Type (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Processor (2020-2032)
11.4.2. Market Revenue and Forecast, by Type (2020-2032)
11.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Processor (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Type (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Processor (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Type (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Processor (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Type (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Processor (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Type (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Processor (2020-2032)
11.5.2. Market Revenue and Forecast, by Type (2020-2032)
11.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Processor (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Type (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Processor (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Type (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Application (2020-2032)
Chapter 12. Company Profiles
12.1. Advanced Micro Devices, Inc
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. NVIDIA Corporation
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Intel Corporation
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Qualcomm Technologies, Inc.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Advantech Co., Ltd.
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Achronix Semiconductor Corporation
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Micron Technology, Inc.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Marvell
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. KIOXIA Holdings Corporation
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Western Digital Technologies
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms