The Accelerator Card Market Size was valued at USD 14.20 billion in 2023 and is expected to reach USD 215.6 billion by 2031 and grow at a CAGR of 40.5% over the forecast period 2024-2031.
Accelerator cards are specialized expansion cards designed to accelerate various workloads in high-performance computing, cloud servers, and data centers. Accelerator cards are used for cryptocurrency mining, artificial intelligence (AI), big data analytics, 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.
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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 centers, CPUs and GPUs are the most commonly used accelerator cards. FPGAs and ASICs are used in data centers to accelerate machine learning applications.
KEY DRIVERS:
RESTRAINTS:
Manufacturing costs are high.
Inadequate technical expertise in design technology.
OPPORTUNITIES:
The increasing demand for FPGA-based accelerator cards stems from their unique features and adaptability in boosting specific computational tasks. Field-Programmable Gate Arrays (FPGAs) enable users to customize hardware configurations, tailoring them to diverse applications. This flexibility renders FPGA-based accelerator cards highly efficient across various domains, including data processing, machine learning, cryptography, and signal processing. As industries seek specialized and high-performance computing solutions, FPGA-based accelerator cards present a compelling choice for enhancing efficiency, reducing latency, and achieving energy conservation in diverse computing environments.
CHALLENGES:
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 services 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 centers for high-performance computing, opening up lucrative opportunities for the accelerator card industry. This high-performance computing technology was critical in assisting the scientists 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 modeling with new AI technologies, the scientists were able to obtain much more accurate results. Thus, HPC technology aided scientists in solving a variety of complex problems in order to develop a drug to combat COVID-19.
IMPACT OF RUSSIAN-UKRAINE WAR
The conflict in Ukraine has disrupted the supply chain, particularly for neon, a crucial material in semiconductor chip production, essential for accelerator cards. This disruption could result in neon shortages and affect the overall production of accelerator cards. Even in the absence of shortages, supply chain disruptions are likely to inflate material costs, potentially leading to higher prices for accelerator cards. Additionally, Western sanctions on Russia may restrict certain Russian companies from procuring accelerator cards from Western counterparts, further impacting the market. Furthermore, the crisis could prompt a shift in demand, such as increased interest in accelerator cards for defense applications. Overall, the uncertainty stemming from the crisis may deter investment in the accelerator card market, potentially stunting its growth.
IMPACT OF ECONOMIC SLOWDOWN
The ongoing economic slowdown is poised to affect the Accelerator Card Market in several ways.
Firstly, decreased demand is expected as businesses tighten their budgets, delaying discretionary spending and impacting sales of high-performance computing (HPC) systems utilizing accelerator cards.
Secondly, existing users may postpone upgrades to newer models due to financial constraints, potentially leading to a decline in high-end accelerator card sales. Moreover, companies might prioritize cost-effective solutions during the slowdown, potentially increasing demand for lower-cost accelerator cards or alternative computing options offering better value. Economic uncertainty may also stall investments in next-generation accelerator cards, hindering market growth.
Additionally, credit tightening could limit smaller companies and research institutions' ability to purchase accelerator cards, further impacting market expansion. However, amidst these challenges, there could be a positive focus on areas like AI and machine learning to optimize processes, potentially driving demand for specific types of accelerator cards suited for these applications. It's crucial to consider the specific segment of the accelerator card market affected, as high-performance computing in research institutions may be less sensitive to economic slowdowns compared to commercial applications in sectors susceptible to economic fluctuations.
BY ACCELERATOR TYPE
Cloud Accelerator
High-performance computing accelerator
In 2023, the high-performance computing accelerator category led in revenue generation, driven by the increasing adoption of hybrid cloud and multi-cloud architectures by businesses.
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BY PROCESSOR TYPE
Graphics Processing Units (GPU)
Central Processing Units (CPU)
Application Specific Integrated Circuits (ASIC)
Field Programmable Gate Arrays (FPGA)
In 2023, the GPU sector dominates the market, witnessing a significant surge in global demand. This surge was propelled by the need for specialized processors adept at handling intricate mathematical computations essential for both 2D and 3D graphics.
BY APPLICATION
Video and image processing
Machine learning
Data Analytics
Financial computing
Mobile phones
Others
The North America Accelerator Card Market commanded a significant market share. This dominance is attributed to the swift adoption of cutting-edge technologies such as high-performance computing (HPC), augmented reality (AR), cloud computing, and edge computing. The proliferation of hyper-scale data centers and data-driven enterprises further contributed to this trend. North America is projected to maintain its lead in the market, driven by the acceleration of hyper-scale data centers leveraging accelerator cards.
The Asia-Pacific Accelerator Card Market secured the second-largest market share. Factors driving growth in this region include the rollout of 5G technology, the expansion of over-the-top (OTT) media services, the emergence of small and medium enterprises (SMEs), and the advancement of data-intensive technologies like Machine Learning (ML) and IoT. Notably, China's Accelerator Card market held the largest share, with the Indian Accelerator Card market emerging as the fastest-growing market in the Asia-Pacific region. Data center 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.
The European Accelerator Card market is anticipated to exhibit the fastest Compound Annual Growth Rate (CAGR. The increasing utilization of Artificial Intelligence (AI) and Machine Learning (ML) technologies across diverse industries in Europe, encompassing healthcare, banking, automotive, and manufacturing, is fueling demand for accelerator cards.
REGIONAL 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 the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
KEY PLAYERS:
The key players in the accelerator card market are NVIDIA Corporation, Leap Motion, Achronix Semiconductor Corporation, Algolux, Xilinx, Intel Corporation, Ditto Labs, IBM, Lenovo, Oracle & Other Players.
Leap Motion-Company Financial Analysis
RECENT DEVELOPMENT
In April 2023: AMD introduced the AMD Alveo MA35D media accelerator, specifically tailored for interactive streaming services. This accelerator card boasts two 5nm ASIC-based video processing units (VPUs), supporting the AV1 compression standard. With high channel density, it can handle up to 32x 1080p60 streams per card. Notably, it excels in low-latency performance, power efficiency, and enhanced compression efficiency compared to earlier models. The inclusion of an integrated AI processor and dedicated video quality engines further elevates visual quality while reducing bitrate requirements.
Report Attributes | Details |
---|---|
Market Size in 2023 | US$ 14.20 Billion |
Market Size by 2031 | US$ 215.6 Billion |
CAGR | CAGR of 40.5% From 2024 to 2030 |
Base Year | 2023 |
Forecast Period | 2024-2031 |
Historical Data | 2020-2022 |
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 (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 | 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. |
The Accelerator Card Market was valued at USD 14.20 billion in 2023.
The expected CAGR of the global Accelerator Card Market during the forecast period is 40.5%.
The Europe region is anticipated to record the Fastest Growing in the Accelerator Card Market.
The Graphics Processing Units (GPU) segment is leading in the market revenue share in 2023.
The North America region with the Highest Revenue share in 2023.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Industry Flowchart
3. Research Methodology
4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
4.4 Challenges
5. Impact Analysis
5.1 Impact of Russia-Ukraine Crisis
5.2 Impact of Economic Slowdown on Major Countries
5.2.1 Introduction
5.2.2 United States
5.2.3 Canada
5.2.4 Germany
5.2.5 France
5.2.6 UK
5.2.7 China
5.2.8 Japan
5.2.9 South Korea
5.2.10 India
6. Value Chain Analysis
7. Porter’s 5 Forces Model
8. Pest Analysis
9. Accelerator Card Market, By Accelerator Type
9.1 Introduction
9.2 Trend Analysis
9.3 Cloud Accelerator
9.4 High-performance computing accelerator
10. Accelerator Card Market, By Processor Type
10.1 Introduction
10.2 Trend Analysis
10.3 Graphics Processing Units (GPU)
10.4 Central Processing Units (CPU)
10.5 Application Specific Integrated Circuits (ASIC)
10.6 Field Programmable Gate Arrays (FPGA)
11. Accelerator Card Market, By Application
11.1 Introduction
11.2 Trend Analysis
11.3 Video and Image Processing
11.4 Machine learning
11.5 Data Analytics
11.6 Financial computing
11.7 Mobile phones
11.8 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 USA
12.2.2 Canada
12.2.3 Mexico
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Poland
12.3.1.2 Romania
12.3.1.3 Hungary
12.3.1.4 Turkey
12.3.1.5 Rest of Eastern Europe
12.3.2 Western Europe
12.3.2.1 Germany
12.3.2.2 France
12.3.2.3 UK
12.3.2.4 Italy
12.3.2.5 Spain
12.3.2.6 Netherlands
12.3.2.7 Switzerland
12.3.2.8 Austria
12.3.2.9 Rest of Western Europe
12.4 Asia-Pacific
12.4.1 China
12.4.2 India
12.4.3 Japan
12.4.4 South Korea
12.4.5 Vietnam
12.4.6 Singapore
12.4.7 Australia
12.4.8 Rest of Asia Pacific
12.5 The Middle East & Africa
12.5.1 Middle East
12.5.1.1 UAE
12.5.1.2 Egypt
12.5.1.3 Saudi Arabia
12.5.1.4 Qatar
12.5.1.5 Rest of the Middle East
11.5.2 Africa
12.5.2.1 Nigeria
12.5.2.2 South Africa
12.5.2.3 Rest of Africa
12.6 Latin America
12.6.1 Brazil
12.6.2 Argentina
12.6.3 Colombia
12.6.4 Rest of Latin America
13. Company Profiles
13.1 NVIDIA Corporation
13.1.1 Company Overview
13.1.2 Financial
13.1.3 Products/ Services Offered
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Leap Motion
13.2.1 Company Overview
13.2.2 Financial
13.2.3 Products/ Services Offered
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Achronix Semiconductor Corporation
13.3.1 Company Overview
13.3.2 Financial
13.3.3 Products/ Services Offered
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Algolux
13.4.1 Company Overview
13.4.2 Financial
13.4.3 Products/ Services Offered
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Intel Corporation
13.5.1 Company Overview
13.5.2 Financial
13.5.3 Products/ Services Offered
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Ditto Labs
13.6.1 Company Overview
13.6.2 Financial
13.6.3 Products/ Services Offered
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 IBM
13.7.1 Company Overview
13.7.2 Financial
13.7.3 Products/ Services Offered
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Lenovo
13.8.1 Company Overview
13.8.2 Financial
13.8.3 Products/ Services Offered
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Oracle
13.9.1 Company Overview
13.9.2 Financial
13.9.3 Products/ Services Offered
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Xilinx
13.10.1 Company Overview
13.10.2 Financial
13.10.3 Products/ Services Offered
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3.3 Mergers & Acquisitions
15. Use Case and Best Practices
16. Conclusion
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