Market Overview:
The global AI accelerator cards market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for AI-enabled devices and services, growing adoption of cloud-based applications, and rising investments in big data and data analytics. The global AI accelerator cards market is segmented on the basis of type into high-performance computing accelerators and cloud accelerators. The high-performance computing accelerators segment is further divided into single precision (SP) accelerators and double precision (DP) accelerators. The cloud accelerators segment includes GPU virtualization solutions offered by public clouds providers such as Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, IBM Bluemix, Alibaba Cloud Computing, among others. On the basis of application, the global AI accelerator cards market is segmented into video processing and image processing; machine learning; financial computing; data analytics; other applications such as natural language processing (NLP), text recognition etc.; and automotive applications. Among these segments, video processing and image processing held the largest share in 2017 owing to increased demand for advanced visual effects in movies & television shows along with rising trend of using images & videos for marketing purposes across different industries.
Product Definition:
An AI accelerator card is a hardware device that helps to speed up the execution of artificial intelligence (AI) algorithms. They are used to improve the performance of machine learning models and deep learning networks. AI accelerator cards are important because they can help to reduce training time and improve accuracy.
High-performance Computing Accelerator:
High-performance Computing (HPC) accelerator is used to increase the performance of a computer system by converting electrical energy into digital signals and back again. HPC accelerators are mainly used in supercomputers for various applications such as climate simulation, particle physics, molecular modeling, cosmology etc.
Cloud Accelerator:
Cloud Accelerator is a technology that helps in improving the performance of artificial intelligence applications by offloading the computing tasks to cloud. It allows data scientists to focus on application development rather than managing complex infrastructure. Cloud accelerators provide an easy and cost-effective way for enterprises, startups, and individuals to accelerate AI capabilities within their organizations or personal portfolios.
Application Insights:
The video and image processing segment dominated the market in 2017. This can be attributed to the increasing demand for AI-enabled applications, such as facial recognition, object detection, and image stabilization in smartphones. The machine learning application is expected to witness significant growth over the forecast period owing to its wide range of applications across several verticals including healthcare, financial services, retail industry etc. The growing adoption of these cards in data centers for machine learning algorithms is also expected to drive their demand over the forecast period.
The increasing need for analytics solutions that can provide better insights has led major companies including Google and Microsoft to invest significantly in building their own artificial intelligence platforms or acquiring smaller firms with an AI focus. For instance, In November 2017, Microsoft acquired Turi Analytics LLC., aQuantitative Insights Inc.
Regional Analysis:
The North American regional market accounted for the largest share in 2017. The growth can be attributed to the presence of a large number of prominent AI companies, such as Google, Inc.; Microsoft Corporation; and IBM Corporation in this region. Moreover, increasing investments by these companies in R&D are expected to drive the demand for accelerators over the forecast period.
Asia Pacific is anticipated to register significant growth over the forecast period owing to increasing adoption of AI technology across several sectors including healthcare and banking & financial services. Furthermore, growing investments by prominent players such as Baidu Inc., Alibaba Group Holding Ltd., Tencent Holdings Limited., and others are contributing toward market growth.
Moreover, rising awareness about emerging technologies among consumers is driving demand from developing countries like India.
Growth Factors:
- Increasing demand for AI-enabled devices: The global market for AI-enabled devices is expected to grow at a CAGR of more than 28% during the forecast period. This is primarily due to the increasing demand for smart homes, smart cities, and autonomous vehicles.
- Growing number of AI startups: The number of AI startups has been growing rapidly in recent years. This is because investors are increasingly allocating funds to these startups, owing to their high potential for growth.
- Rising adoption of artificial intelligence by enterprises: Enterprises are increasingly adopting artificial intelligence in order to improve their operational efficiency and competitiveness.
- Proliferation of big data: Big data is providing a fertile ground for the development and deployment of artificial intelligence algorithms.
Scope Of The Report
Report Attributes
Report Details
Report Title
AI Accelerator Cards Market Research Report
By Type
High-performance Computing Accelerator, Cloud Accelerator
By Application
Video and Image Processing, Machine Learning, Financial Computing, Data Analytics, Others
By Companies
NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Xilinx, Achronix Semiconductor Corporation, Cisco Systems, FUJITSU, Oracle Corporation, Huawei Technologies, IBM Corporation, Kalray Corporation
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
179
Number of Tables & Figures
126
Customization Available
Yes, the report can be customized as per your need.
Global AI Accelerator Cards Market Report Segments:
The global AI Accelerator Cards market is segmented on the basis of:
Types
High-performance Computing Accelerator, Cloud Accelerator
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Video and Image Processing, Machine Learning, Financial Computing, Data Analytics, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- NVIDIA Corporation
- Intel Corporation
- Advanced Micro Devices
- Xilinx
- Achronix Semiconductor Corporation
- Cisco Systems
- FUJITSU
- Oracle Corporation
- Huawei Technologies
- IBM Corporation
- Kalray Corporation
Highlights of The AI Accelerator Cards Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- High-performance Computing Accelerator
- Cloud Accelerator
- By Application:
- Video and Image Processing
- Machine Learning
- Financial Computing
- Data Analytics
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI Accelerator Cards Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
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- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
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- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI Accelerator Cards are a type of digital card that can be used to make payments in stores and online. They work like regular debit or credit cards, but they have special features that allow you to make purchases faster and easier.
Some of the major players in the ai accelerator cards market are NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Xilinx, Achronix Semiconductor Corporation, Cisco Systems, FUJITSU, Oracle Corporation, Huawei Technologies, IBM Corporation, Kalray Corporation.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI Accelerator Cards Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI Accelerator Cards Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI Accelerator Cards Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI Accelerator Cards Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI Accelerator Cards Market Size & Forecast, 2018-2028
4.5.1 AI Accelerator Cards Market Size and Y-o-Y Growth
4.5.2 AI Accelerator Cards Market Absolute $ Opportunity
Chapter 5 Global AI Accelerator Cards Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI Accelerator Cards Market Size Forecast by Type
5.2.1 High-performance Computing Accelerator
5.2.2 Cloud Accelerator
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI Accelerator Cards Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI Accelerator Cards Market Size Forecast by Applications
6.2.1 Video and Image Processing
6.2.2 Machine Learning
6.2.3 Financial Computing
6.2.4 Data Analytics
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI Accelerator Cards Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI Accelerator Cards Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI Accelerator Cards Analysis and Forecast
9.1 Introduction
9.2 North America AI Accelerator Cards Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI Accelerator Cards Market Size Forecast by Type
9.6.1 High-performance Computing Accelerator
9.6.2 Cloud Accelerator
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI Accelerator Cards Market Size Forecast by Applications
9.10.1 Video and Image Processing
9.10.2 Machine Learning
9.10.3 Financial Computing
9.10.4 Data Analytics
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI Accelerator Cards Analysis and Forecast
10.1 Introduction
10.2 Europe AI Accelerator Cards Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI Accelerator Cards Market Size Forecast by Type
10.6.1 High-performance Computing Accelerator
10.6.2 Cloud Accelerator
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI Accelerator Cards Market Size Forecast by Applications
10.10.1 Video and Image Processing
10.10.2 Machine Learning
10.10.3 Financial Computing
10.10.4 Data Analytics
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI Accelerator Cards Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI Accelerator Cards Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI Accelerator Cards Market Size Forecast by Type
11.6.1 High-performance Computing Accelerator
11.6.2 Cloud Accelerator
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI Accelerator Cards Market Size Forecast by Applications
11.10.1 Video and Image Processing
11.10.2 Machine Learning
11.10.3 Financial Computing
11.10.4 Data Analytics
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI Accelerator Cards Analysis and Forecast
12.1 Introduction
12.2 Latin America AI Accelerator Cards Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI Accelerator Cards Market Size Forecast by Type
12.6.1 High-performance Computing Accelerator
12.6.2 Cloud Accelerator
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI Accelerator Cards Market Size Forecast by Applications
12.10.1 Video and Image Processing
12.10.2 Machine Learning
12.10.3 Financial Computing
12.10.4 Data Analytics
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI Accelerator Cards Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI Accelerator Cards Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI Accelerator Cards Market Size Forecast by Type
13.6.1 High-performance Computing Accelerator
13.6.2 Cloud Accelerator
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI Accelerator Cards Market Size Forecast by Applications
13.10.1 Video and Image Processing
13.10.2 Machine Learning
13.10.3 Financial Computing
13.10.4 Data Analytics
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI Accelerator Cards Market: Competitive Dashboard
14.2 Global AI Accelerator Cards Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 NVIDIA Corporation
14.3.2 Intel Corporation
14.3.3 Advanced Micro Devices
14.3.4 Xilinx
14.3.5 Achronix Semiconductor Corporation
14.3.6 Cisco Systems
14.3.7 FUJITSU
14.3.8 Oracle Corporation
14.3.9 Huawei Technologies
14.3.10 IBM Corporation
14.3.11 Kalray Corporation
