Data Center Accelerator Market Size, Share & Trends Analysis Report By Processor (GPU, CPU, FPGA, ASIC), By Type (HPC Data Center,Cloud Data Center), By Application, By Region, And Segment Forecasts, 2023 - 2032
- Report ID: ME_0099420
- Format: Electronic (PDF)
- Publish Type: Publish
- Number of Pages: 250
Market Snapshot
Source: Market Expertz
| Study Period | 2019-2032 |
| Base Year | 2023 |
| Forcast Year | 2023-2032 |
| CAGR | 6.58 |
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The GLobal Data Center Accelerator Market, valued at USD 8.1 billion in 2023, is projected to grow at a compound annual growth rate (CAGR) of over 25% from 2024 to 2032. The market's growth depends on several factors, including the increasing demand for high-performance computing, rising adoption of artificial intelligence (AI) and machine learning (ML) technologies, and the need for efficient data processing in data centers. Data center accelerators refer to specialized hardware or software components that enhance the performance and efficiency of data center operations. They are designed to accelerate tasks such as data processing, AI inference, and cryptographic operations, thereby improving data centers' overall performance and energy efficiency.
Data Center Accelerator Market Overview:
Drivers:
One of the key factors driving the data center accelerator market growth is the increasing demand for high-performance computing. With the exponential growth of data and the need for faster data processing, data centers are facing challenges in meeting the performance requirements. Data center accelerators, such as graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs), offer significant performance improvements compared to traditional central processing units (CPUs). These accelerators are capable of parallel processing and specialized computations, enabling data centers to handle complex workloads more efficiently.
Moreover, the rising adoption of AI and ML technologies is also driving the market growth. AI and ML applications require massive computational power for tasks such as training deep neural networks and running inference algorithms. Data center accelerators, particularly GPUs, are well-suited for these workloads due to their parallel processing capabilities. They enable faster training and inference times, leading to improved AI and ML performance in data centers. As AI and ML continue to gain prominence across various industries, the demand for data center accelerators is expected to grow significantly.
Trends:
A key trend shaping the data center accelerator market is the integration of accelerators with cloud computing platforms. Cloud service providers are increasingly incorporating data center accelerators into their infrastructure to offer enhanced performance and efficiency to their customers. By leveraging accelerators, cloud providers can deliver faster data processing, improved AI and ML capabilities, and cost-effective solutions to their clients. This trend is driven by the growing demand for cloud-based services and the need for scalable and flexible computing resources.
Furthermore, there is a growing focus on energy efficiency in data centers, which is driving the adoption of power-efficient accelerators. Data center operators are seeking solutions that can optimize energy consumption and reduce operational costs. Accelerators, such as low-power GPUs and FPGAs, offer higher performance per watt compared to traditional CPUs, making them ideal for energy-efficient data center operations. The integration of power-efficient accelerators enables data centers to achieve higher computational density and reduce their carbon footprint.
Restraints:
One of the key challenges hindering the data center accelerator market growth is the complexity of integrating accelerators into existing data center infrastructure. Data centers are complex ecosystems with diverse hardware and software components. Integrating accelerators requires careful planning, compatibility testing, and potential modifications to the existing infrastructure. This integration process can be time-consuming and costly, especially for large-scale data centers. Additionally, the lack of standardized interfaces and programming models for accelerators poses challenges for developers and system integrators.
Data Center Accelerator Market Segmentation By Application:
The AI and ML segment is estimated to witness significant growth during the forecast period. AI and ML applications, such as natural language processing, image recognition, and recommendation systems, require massive computational power for training and inference. Data center accelerators, particularly GPUs, are widely used for accelerating AI and ML workloads due to their parallel processing capabilities. These accelerators enable faster model training, real-time inference, and improved accuracy, driving their adoption in data centers.
The data analytics segment is also expected to contribute to the market growth. Data analytics applications involve processing and analyzing large volumes of data to extract valuable insights. Data center accelerators, such as FPGAs and ASICs, are well-suited for accelerating data analytics tasks, enabling faster data processing and real-time analytics capabilities.
Data Center Accelerator Market Segmentation By Type:
The GPU-based data center accelerator segment is expected to dominate the market during the forecast period. GPUs offer high parallel processing capabilities, making them ideal for accelerating a wide range of workloads, including AI, ML, data analytics, and scientific simulations. They enable data centers to achieve faster processing speeds, improved performance, and energy efficiency.
Regional Overview:
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North America is estimated to contribute significantly to the growth of the global data center accelerator market during the forecast period. The region has a strong presence of major data center operators, cloud service providers, and technology companies, driving the demand for data center accelerators. The increasing adoption of AI and ML technologies across various industries, such as healthcare, finance, and automotive, further supports market growth in North America.
Europe is also expected to witness substantial growth in the data center accelerator market. The region has a growing focus on digital transformation and the adoption of advanced technologies. The increasing demand for high-performance computing, AI, and ML applications is driving the market in Europe.
Data Center Accelerator Market Customer Landscape:
The data center accelerator market industry report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.
Who are the Major Data Center Accelerator Market Companies?
Companies are implementing various strategies, such as product launches, partnerships, mergers and acquisitions, and geographical expansion, to enhance their presence in the market.
NVIDIA Corporation: The company offers a range of GPU-based data center accelerators, including the NVIDIA Tesla series.
Intel Corporation: The company provides FPGA-based data center accelerators under its Intel Programmable Solutions Group.
Advanced Micro Devices, Inc.: The company offers GPU-based data center accelerators, including the AMD Radeon Instinct series.
Some of the major companies operating in the data center accelerator market include:
- IBM Corporation
- Dell Inc.
- Intel Corporation
- Lattice Semiconductor
- Lenovo Ltd.
- Microchip Technology Inc.
- Marvell Technology Inc.
- Micron Technology, Inc.
- NVIDIA Corporation
- NEC Corporation
- Synopsys Inc.
- Advanced Micro Devices, Inc.
- Qualcomm Incorporated
The research report also includes detailed analyses of the competitive landscape of the market and information about key market players. Data is qualitatively analyzed to categorize companies based on their market presence and strength.
Segment Overview:
The data center accelerator market report forecasts market growth by revenue at global, regional, and country levels and provides an analysis of the latest trends and growth opportunities from 2019 to 2032.
By Processor Type
- CPU(Central Processing Unit)
- GPU(Graphical Processing Unit)
- FPGA(Field-programmable Gate Array)
- ASIC(Application-specific Integrated Circuit)
By Type
- HPC accelerator
- Cloud accelerator
By Application
- Deep learning training
- Public cloud interface
- Enterprise interface
By End Use
- IT & telecom
- Healthcare
- BFSI
- Government
- Energy
- Manufacturing
- Others
By Geography
North America
- U.S.
- Canada
Europe
- UK
- Germany
- France
- Italy
- Spain
Asia Pacific
- China
- Japan
- Australia
South Korea
- Singapore
- Latin America
- Brazil
MEA
- GCC
- South Africa
TABLE OF CONTENTS: GLOBAL Data Center Accelerator MARKET
Chapter 1. MARKET SYNOPSIS
1.1. Market Definition
1.2. Research Scope & Premise
1.3. Methodology
1.4. Market Estimation Technique
Chapter 2. EXECUTIVE SUMMARY
2.1. Summary Snapshot, 2016 - 2027
Chapter 3. INDICATIVE METRICS
3.1. Macro Indicators
Chapter 4. Data Center Accelerator MARKET SEGMENTATION & IMPACT ANALYSIS
4.1. Data Center Accelerator Segmentation Analysis
4.2. Industrial Outlook
4.3. Price Trend Analysis
4.4. Regulatory Framework
4.5. Porter's Five Forces Analysis
4.5.1. Power Of Suppliers
4.5.2. Power Of Buyers
4.5.3. Threat Of Substitutes
4.5.4. Threat Of New Entrants
4.5.5. Competitive Rivalry
Chapter 5. Data Center Accelerator MARKET BY TYPE INSIGHTS & TRENDS
5.1. Segment 1 Dynamics & Market Share, 2019 & 2027
5.2. Type 1
5.2.1. Market Estimates And Forecast, 2016 - 2027 (USD Million)
5.2.2. Market Estimates And Forecast, By Region, 2016 - 2027 (USD Million)
5.3. Type 2
5.3.1. Market Estimates And Forecast, 2016 - 2027 (USD Million)
5.3.2. Market Estimates And Forecast, By Region, 2016 - 2027 (USD Million)
Chapter 6. Data Center Accelerator MARKET BY APPLICATION INSIGHTS & TRENDS
6.1. Segment 2 Dynamics & Market Share, 2019 & 2027
6.2. Application 1
6.2.1. Market Estimates And Forecast, 2016 - 2027 (USD Million)
6.2.2. Market Estimates And Forecast, By Region, 2016 - 2027 (USD Million)
6.3. Application 2
6.3.1. Market Estimates And Forecast, 2016 - 2027 (USD Million)
6.3.2. Market Estimates And Forecast, By Region, 2016 - 2027 (USD Million)
6.4. Application 3
6.4.1. Market Estimates And Forecast, 2016 - 2027 (USD Million)
6.4.2. Market Estimates And Forecast, By Region, 2016 - 2027 (USD Million)
6.5. Application 4
6.5.1. Market Estimates And Forecast, 2016 - 2027 (USD Million)
6.5.2. Market Estimates And Forecast, By Region, 2016 - 2027 (USD Million)
Chapter 7. Data Center Accelerator MARKET REGIONAL OUTLOOK
7.1. Data Center Accelerator Market Share By Region, 2019 & 2027
7.2. NORTH AMERICA
7.2.1. North America Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.2.2. North America Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.2.3. North America Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.2.4. North America Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.2.5. U.S.
7.2.5.1. U.S. Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.2.5.2. U.S. Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.2.5.3. U.S. Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.2.5.4. U.S. Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.2.6. CANADA
7.2.6.1. Canada Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.2.6.2. Canada Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.2.6.3. Canada Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.2.6.4. Canada Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.3. EUROPE
7.3.1. Europe Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.3.2. Europe Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.3.3. Europe Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.3.4. Europe Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.3.5. GERMANY
7.3.5.1. Germany Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.3.5.2. Germany Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.3.5.3. Germany Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.3.5.4. Germany Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.3.6. FRANCE
7.3.6.1. France Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.3.6.2. France Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.3.6.3. France Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.3.6.4. France Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.3.7. U.K.
7.3.7.1. U.K. Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.3.7.2. U.K. Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.3.7.3. U.K. Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.3.7.4. U.K. Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.4. ASIA-PACIFIC
7.4.1. Asia Pacific Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.4.2. Asia Pacific Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.4.3. Asia Pacific Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.4.4. Asia Pacific Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.4.5. CHINA
7.4.5.1. China Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.4.5.2. China Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.4.5.3. China Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.4.5.4. China Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.4.6. INDIA
7.4.6.1. India Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.4.6.2. India Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.4.6.3. India Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.4.6.4. India Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.4.7. JAPAN
7.4.7.1. Japan Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.4.7.2. Japan Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.4.7.3. Japan Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.4.7.4. Japan Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.4.8. AUSTRALIA
7.4.8.1. Australia Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.4.8.2. Australia Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.4.8.3. Australia Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.4.8.4. Australia Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.5. MIDDLE EAST AND AFRICA (MEA)
7.5.1. Mea Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.5.2. Mea Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.5.3. Mea Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.5.4. Mea Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
7.6. LATIN AMERICA
7.6.1. Latin America Data Center Accelerator Market Estimates And Forecast, 2016 - 2027, (USD Million)
7.6.2. Latin America Data Center Accelerator Market Estimates And Forecast By Segment 1, 2016 -2027, (USD Million)
7.6.3. Latin America Data Center Accelerator Market Estimates And Forecast By Segment 2, 2016 -2027, (USD Million)
7.6.4. Latin America Data Center Accelerator Market Estimates And Forecast By Production Process, 2016 -2027, (USD Million)
7.6.5. Latin America Data Center Accelerator Market Estimates And Forecast By Segment 3, 2016 -2027, (USD Million)
Chapter 8. COMPETITIVE LANDSCAPE
8.1. Market Share By Manufacturers
8.2. Strategic Benchmarking
8.2.1. New Product Launches
8.2.2. Investment & Expansion
8.2.3. Acquisitions
8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures
8.3. Vendor Landscape
8.3.1. North American Suppliers
8.3.2. European Suppliers
8.3.3. Asia-Pacific Suppliers
8.3.4. Rest Of The World Suppliers
Chapter 9. COMPANY PROFILES
9.1. Company 1
9.1.1. Company Overview
9.1.2. Financial Performance
9.1.3. Product Insights
9.1.4. Strategic Initiatives
9.2. Company 2
9.2.1. Company Overview
9.2.2. Financial Performance
9.2.3. Product Insights
9.2.4. Strategic Initiatives
9.3. Company 3
9.3.1. Company Overview
9.3.2. Financial Performance
9.3.3. Product Insights
9.3.4. Strategic Initiatives
9.4. Company 4
9.4.1. Company Overview
9.4.2. Financial Performance
9.4.3. Product Insights
9.4.4. Strategic Initiatives
9.5. Company 5
9.5.1. Company Overview
9.5.2. Financial Performance
9.5.3. Product Insights
9.5.4. Strategic Initiatives
9.6. Company 6
9.6.1. Company Overview
9.6.2. Financial Performance
9.6.3. Product Insights
9.6.4. Strategic Initiatives
9.7. Company 7
9.7.1. Company Overview
9.7.2. Financial Performance
9.7.3. Product Insights
9.7.4. Strategic Initiatives
9.8. Company 8
9.8.1. Company Overview
9.8.2. Financial Performance
9.8.3. Product Insights
9.8.4. Strategic Initiatives
9.9. Company 9
9.9.1. Company Overview
9.9.2. Financial Performance
9.9.3. Product Insights
9.9.4. Strategic Initiatives
9.10. Company 10
9.10.1. Company Overview
9.10.2. Financial Performance
9.10.3. Product Insights
9.10.4. Strategic Initiatives
List of Tables and Figures
RESEARCH METHODOLOGY
A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.
Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.
Now let’s take a closer look at the research methods here.
Secondary Research Model
Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.
Primary Insights
Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.
However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.
Market Estimation
The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.
Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.
Final Presentation
The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.
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