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Accelerator Card Market

Accelerator Card Market Size, Share & Segmentation By Accelerator Type (Cloud Accelerator, High-Performance Computing Accelerator) By Processor Type (Graphics Processing Units (GPU), Central Processing Units (CPU), Application Specific Integrated Circuits (ASIC), Field Programmable Gate Arrays (FPGA)) By Application (Video And Image Processing, Machine Learning, Data Analytics, Financial Computing, Mobile Phones, Others), By Regions, And Global Forecast 2023-2030

Report Id: SNS/SEMI/2498 | July 2022 | Region: Global | 133 Pages

Report Scope & Overview:

The Accelerator Card Market Size was valued at USD 10.25 billion in 2022 and is expected to reach USD 155.74 billion by 2030, and grow at a CAGR of 40.5% over the forecast period 2023-2030.

Accelerator cards are specialised expansion cards designed to accelerate various workloads in high-performance computing, cloud servers, and data centres. Accelerator cards are used for cryptocurrency mining, artificial intelligence (AI), big data analysis, and other complex tasks. Accelerator cards are inserted via PCIe slots and are programmable, allowing the user to instruct the card to perform complex operations.

Accelerator Card Market

When compared to microprocessors, accelerator cards are far more efficient. These cards contain additional algorithms for performing complex operations that the host processor may not be able to perform or may take a much longer time to perform. In high-performance computing and data centres, CPUs and GPUs are the most commonly used accelerator cards. FPGAs and ASICs are used in data centres to accelerate machine learning applications.

 

MARKET DYNAMICS:

KEY DRIVERS:

  • In data centers, there is an increasing demand for AI and HPC technologies.

  • The market for cloud computing is expanding.

RESTRAINTS:

  • Manufacturing costs are high.

  • Inadequate technical expertise in design technology.

OPPORTUNITIES:

  • There is a growing demand for FPGA-based accelerator cards.

CHALLENGES: 

  • This will be covered under the final version of the report.

IMPACT OF COVID-19: 

The COVID-19 pandemic has resulted in a nationwide lockdown, increased work-from-home culture, and business closures. However, the cloud computing market grew as a result of the COVID-19 impact. Aside from patient data analysis, the demand for cloud computing technologies in the healthcare industry has increased. Cloud storage solutions are widely used by healthcare professionals to track a large number of cases. The demand for high-performance computing and artificial intelligence is rapidly increasing. Accelerator cards are widely used in data centres for high-performance computing, opening up lucrative opportunities for the accelerator card industry. This high-performance computing technology was critical in assisting the scientist in developing a COVID-19 vaccine. Scientists all over the world are using these accelerator cards to perform high-performance computing on complex mathematical models containing massive amounts of COVID-19 pandemic data. And, by combining simulation and modelling with new AI technologies, the scientists were able to obtain much more accurate results. Thus, HPC technology aided the scientist in solving a variety of complex problems in order to develop a drug to combat COVID-19.

Based on accelerator type, the accelerator card market is segmented into cloud accelerator, and High-performance computing accelerator. Based on processor type, the accelerator card market is segmented into Graphics Processing Units (GPU), Central Processing Units (CPU), Application Specific Integrated Circuits (ASIC), and Field Programmable Gate Arrays (FPGA). Based on application, the accelerator card market is segmented into Video and image processing, Machine learning, Data analytics, financial computing, Mobile phones, and Others.

COMPETITIVE LANDSCAPE:

The key players in the accelerator card market are NVIDIA Corporation, Leap Motion, Achronix Semiconductor Corporation, Algolux, Xilinx, Intel Corporation, Ditto Labs, IBM, Lenovo, and Oracle.

MARKET SEGMENT:

BY ACCELERATOR TYPE

  • Cloud Accelerator

  • High-performance computing accelerator

BY PROCESSOR TYPE

  • Graphics Processing Units (GPU)

  • Central Processing Units (CPU)

  • Application Specific Integrated Circuits (ASIC)

  • Field Programmable Gate Arrays (FPGA)

BY APPLICATION

  • Video and image processing

  • Machine learning

  • Data analytics

  • Financial computing

  • Mobile phones

  • Others

Accelerator Card Market

REGIONAL ANALYSIS:

The North American market is expected to emerge as a dominant player with a sizable share of the accelerator card market. Many major players in the region, such as the United States and Canada, will make a significant contribution to the market during the forecast period. In addition, data centre adoption is increasing in the North American market. Following the trend, the APAC region is expected to have the highest growth rate between 2022 and 2028. Data centre investment is increasing, which is supported by the emergence of technologies such as on-premise, third-party support, private cloud, public cloud, and hosted cloud, among others.

REGIONAL COVERAGE:

  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America

 

Accelerator Card Market Report Scope:
Report Attributes Details
Market Size in 2022 US$ 10.25 Billion
Market Size by 2030 US$ 155.74 Billion
CAGR CAGR of 40.5% From 2023 to 2030
Base Year 2022
Forecast Period 2023-2030
Historical Data 2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Accelerator Type (Cloud Accelerator, High-Performance Computing Accelerator)
• y Processor Type (Graphics Processing Units (GPU), Central Processing Units (CPU), Application Specific Integrated Circuits (ASIC), Field Programmable Gate Arrays (FPGA))
• By Application (Video And Image Processing, Machine Learning, Data Analytics, Financial Computing, Mobile Phones, Others)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles NVIDIA Corporation, Leap Motion, Achronix Semiconductor Corporation, Algolux, Xilinx, Intel Corporation, Ditto Labs, IBM, Lenovo, and Oracle.
Key Drivers • In data centers, there is an increasing demand for AI and HPC technologies.
• The market for cloud computing is expanding.
RESTRAINTS • Manufacturing costs are high.
• Inadequate technical expertise in design technology.


Frequently Asked Questions (FAQ) :

The market value is expected to reach USD 78.9 billion by 2028.

The market has been segmented with respect to accelerator type, processor type and application.

 

North American region is expected to dominate the Accelerator Card Market.

Yes, and they are Raw material vendors, Distributors/traders/wholesalers/suppliers, Regulatory authorities, including government agencies and NGO, Commercial research & development (R&D) institutions, Importers and exporters, Government organizations, research organizations, and consulting firms, Trade/Industrial associations, End-use industries.

Manufacturers, Consultants, Association, Research Institutes, private and university libraries, suppliers, and distributors of the product.


Table of Content:

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

 

2. Research Methodology

 

3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges

 

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies

4.3.2.1 US

4.3.2.2 Canada

4.3.2.3 Germany

4.3.2.4 France

4.3.2.5 United Kingdom

4.3.2.6 China

4.3.2.7 Japan

4.3.2.8 South Korea

4.3.2.9 Rest of the World

 

5. Value Chain Analysis

 

6. Porter’s 5 forces model

 

7.  PEST Analysis

  

8. Accelerator Card Market Segmentation, by solution accelerator type

8.1Introduction

8.2 cloud accelerator

8.3 High-performance computing accelerator

 

9. Accelerator Card Market Segmentation, by processor type

9.1Introduction

9.2 Graphics Processing Units (GPU)

9.3 Central Processing Units (CPU)

9.4 Application Specific Integrated Circuits (ASIC)

9.5 Field Programmable Gate Arrays (FPGA)

 

10. Accelerator Card Market Segmentation, by application

10.1 Introduction

10.2 Video and image processing

10.3 Machine learning

10.4 Data analytics

10.5 Financial computing

10.6 Mobile phones

10.7 Others

 

11. Regional Analysis

11.1 Introduction

11.2 North America

11.2.1 USA

11.2.2 Canada

11.2.3 Mexico

11.3 Europe

11.3.1 Germany

11.3.2 UK

11.3.3 France

11.3.4 Italy

11.3.5 Spain

11.3.6 The Netherlands

11.3.7 Rest of Europe

11.4 Asia-Pacific

11.4.1 Japan

11.4.2 South Korea

11.4.3 China

11.4.4 India

11.4.5 Australia

11.4.6 Rest of Asia-Pacific

11.5 The Middle East & Africa

11.5.1 Israel

11.5.2 UAE

11.5.3 South Africa

11.5.4 Rest

11.6 Latin America

11.6.1 Brazil

11.6.2 Argentina

11.6.3 Rest of Latin America

 

12.Company Profiles

12.1 IBM

12.1.1 Financial

12.1.2 Products/ Services Offered

12.1.3 SWOT Analysis

12.1.4 The SNS view

12.2 NVIDIA Corporation

12.3 Leap Motion

12.4 Achronix Semiconductor Corporation

12.5 Algolux

12.6 Xilinx

12.7 Intel Corporation

12.8 Ditto Labs

12.9 Lenovo

12.10 Oracle

 

13.Competitive Landscape

13.1 Competitive Benchmark

13.2 Market Share analysis

13.3 Recent Developments

 

14.Conclusion

 

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Secondary Research

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