Global AI Accelerator Cards Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global AI Accelerator Cards market size will reach 103,723 Million USD in 2025 and is projected to reach 2,265,935 Million USD by 2032, with a CAGR of 55.36% (2025-2032). Notably, the China AI Accelerator Cards market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
AI accelerator cards are specialized hardware components designed to accelerate artificial intelligence (AI) and machine learning (ML) tasks by performing complex computations much faster than general-purpose processors like CPUs. These cards typically utilize advanced architectures such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), or Field-Programmable Gate Arrays (FPGAs), optimized for tasks like deep learning, neural network processing, and large-scale data analysis. By offloading AI workloads from the CPU, AI accelerator cards significantly improve performance and efficiency, enabling faster training of models, real-time inference, and handling of large datasets. They are commonly used in data centers, research labs, and edge computing devices, supporting applications across various industries, including autonomous vehicles, healthcare, finance, and robotics. The integration of AI accelerator cards is key to meeting the growing demands for processing power in AI-driven technologies.
The major global suppliers of AI Accelerator Cards include NVIDIA, AMD, Intel, Huawei, Qualcomm, IBM, Hailo, Denglin Technology, HYGON, Achronix Semiconductor, Shanghai Iluvatar CoreX Semiconductor Co., Ltd., Shanghai Suiyuan Technology Co., Ltd., Kunlunxin, Cambricon Technologies Co., Ltd., Vastai Technologies, Advantech Co., Ltd., etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of AI Accelerator Cards. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global AI Accelerator Cards market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the AI Accelerator Cards market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of AI Accelerator Cards industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of AI Accelerator Cards Include:
NVIDIA
AMD
Intel
Huawei
Qualcomm
IBM
Hailo
Denglin Technology
HYGON
Achronix Semiconductor
Shanghai Iluvatar CoreX Semiconductor Co., Ltd.
Shanghai Suiyuan Technology Co., Ltd.
Kunlunxin
Cambricon Technologies Co., Ltd.
Vastai Technologies
Advantech Co., Ltd.
AI Accelerator Cards Product Segment Include:
GPU
FPGA
ASIC
AI Accelerator Cards Product Application Include:
Cloud Deployment
Terminal Deployment
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global AI Accelerator Cards Industry PESTEL Analysis
Chapter 3: Global AI Accelerator Cards Industry Porter's Five Forces Analysis
Chapter 4: Global AI Accelerator Cards Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global AI Accelerator Cards Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global AI Accelerator Cards Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, AI Accelerator Cards Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global AI Accelerator Cards market size will reach 103,723 Million USD in 2025 and is projected to reach 2,265,935 Million USD by 2032, with a CAGR of 55.36% (2025-2032). Notably, the China AI Accelerator Cards market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
AI accelerator cards are specialized hardware components designed to accelerate artificial intelligence (AI) and machine learning (ML) tasks by performing complex computations much faster than general-purpose processors like CPUs. These cards typically utilize advanced architectures such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), or Field-Programmable Gate Arrays (FPGAs), optimized for tasks like deep learning, neural network processing, and large-scale data analysis. By offloading AI workloads from the CPU, AI accelerator cards significantly improve performance and efficiency, enabling faster training of models, real-time inference, and handling of large datasets. They are commonly used in data centers, research labs, and edge computing devices, supporting applications across various industries, including autonomous vehicles, healthcare, finance, and robotics. The integration of AI accelerator cards is key to meeting the growing demands for processing power in AI-driven technologies.
The major global suppliers of AI Accelerator Cards include NVIDIA, AMD, Intel, Huawei, Qualcomm, IBM, Hailo, Denglin Technology, HYGON, Achronix Semiconductor, Shanghai Iluvatar CoreX Semiconductor Co., Ltd., Shanghai Suiyuan Technology Co., Ltd., Kunlunxin, Cambricon Technologies Co., Ltd., Vastai Technologies, Advantech Co., Ltd., etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of AI Accelerator Cards. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global AI Accelerator Cards market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the AI Accelerator Cards market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of AI Accelerator Cards industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of AI Accelerator Cards Include:
NVIDIA
AMD
Intel
Huawei
Qualcomm
IBM
Hailo
Denglin Technology
HYGON
Achronix Semiconductor
Shanghai Iluvatar CoreX Semiconductor Co., Ltd.
Shanghai Suiyuan Technology Co., Ltd.
Kunlunxin
Cambricon Technologies Co., Ltd.
Vastai Technologies
Advantech Co., Ltd.
AI Accelerator Cards Product Segment Include:
GPU
FPGA
ASIC
AI Accelerator Cards Product Application Include:
Cloud Deployment
Terminal Deployment
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global AI Accelerator Cards Industry PESTEL Analysis
Chapter 3: Global AI Accelerator Cards Industry Porter's Five Forces Analysis
Chapter 4: Global AI Accelerator Cards Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global AI Accelerator Cards Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global AI Accelerator Cards Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, AI Accelerator Cards Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 AI Accelerator Cards Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 AI Accelerator Cards Product by Type
- 1.2.1 GPU
- 1.2.2 FPGA
- 1.2.3 ASIC
- 1.3 AI Accelerator Cards Product by Application
- 1.3.1 Cloud Deployment
- 1.3.2 Terminal Deployment
- 1.4 Global AI Accelerator Cards Market Size Analysis (2020-2032)
- 1.5 AI Accelerator Cards Market Development Status and Trends
- 1.5.1 AI Accelerator Cards Industry Development Status Analysis
- 1.5.2 AI Accelerator Cards Industry Development Trends Analysis
- 2 AI Accelerator Cards Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 AI Accelerator Cards Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global AI Accelerator Cards Market Analysis by Country
- 4.1 Global AI Accelerator Cards Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global AI Accelerator Cards Revenue Analysis by Country (2020-2025)
- 4.1.2 Global AI Accelerator Cards Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.5 China AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.6 France AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.14 India AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa AI Accelerator Cards Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global AI Accelerator Cards Market Revenue by Key Suppliers (2021-2025)
- 5.2 AI Accelerator Cards Competitive Landscape Analysis and Market Dynamic
- 5.2.1 AI Accelerator Cards Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 AI Accelerator Cards Market Analysis by Type
- 6.1 Global AI Accelerator Cards Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global AI Accelerator Cards Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 NVIDIA
- 7.1.1 NVIDIA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 NVIDIA AI Accelerator Cards Product Portfolio
- 7.1.3 NVIDIA AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 AMD
- 7.2.1 AMD Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 AMD AI Accelerator Cards Product Portfolio
- 7.2.3 AMD AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Intel
- 7.3.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Intel AI Accelerator Cards Product Portfolio
- 7.3.3 Intel AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 Huawei
- 7.4.1 Huawei Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Huawei AI Accelerator Cards Product Portfolio
- 7.4.3 Huawei AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 Qualcomm
- 7.5.1 Qualcomm Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 Qualcomm AI Accelerator Cards Product Portfolio
- 7.5.3 Qualcomm AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 IBM
- 7.6.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 IBM AI Accelerator Cards Product Portfolio
- 7.6.3 IBM AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 Hailo
- 7.7.1 Hailo Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 Hailo AI Accelerator Cards Product Portfolio
- 7.7.3 Hailo AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 Denglin Technology
- 7.8.1 Denglin Technology Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Denglin Technology AI Accelerator Cards Product Portfolio
- 7.8.3 Denglin Technology AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 HYGON
- 7.9.1 HYGON Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 HYGON AI Accelerator Cards Product Portfolio
- 7.9.3 HYGON AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Achronix Semiconductor
- 7.10.1 Achronix Semiconductor Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Achronix Semiconductor AI Accelerator Cards Product Portfolio
- 7.10.3 Achronix Semiconductor AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 Shanghai Iluvatar CoreX Semiconductor Co., Ltd.
- 7.11.1 Shanghai Iluvatar CoreX Semiconductor Co., Ltd. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 Shanghai Iluvatar CoreX Semiconductor Co., Ltd. AI Accelerator Cards Product Portfolio
- 7.11.3 Shanghai Iluvatar CoreX Semiconductor Co., Ltd. AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 Shanghai Suiyuan Technology Co., Ltd.
- 7.12.1 Shanghai Suiyuan Technology Co., Ltd. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 Shanghai Suiyuan Technology Co., Ltd. AI Accelerator Cards Product Portfolio
- 7.12.3 Shanghai Suiyuan Technology Co., Ltd. AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 Kunlunxin
- 7.13.1 Kunlunxin Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 Kunlunxin AI Accelerator Cards Product Portfolio
- 7.13.3 Kunlunxin AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 Cambricon Technologies Co., Ltd.
- 7.14.1 Cambricon Technologies Co., Ltd. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 Cambricon Technologies Co., Ltd. AI Accelerator Cards Product Portfolio
- 7.14.3 Cambricon Technologies Co., Ltd. AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.15 Vastai Technologies
- 7.15.1 Vastai Technologies Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.15.2 Vastai Technologies AI Accelerator Cards Product Portfolio
- 7.15.3 Vastai Technologies AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.16 Advantech Co., Ltd.
- 7.16.1 Advantech Co., Ltd. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.16.2 Advantech Co., Ltd. AI Accelerator Cards Product Portfolio
- 7.16.3 Advantech Co., Ltd. AI Accelerator Cards Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 AI Accelerator Cards Industry Chain Analysis
- 8.2 AI Accelerator Cards Product Downstream Application Analysis
- 8.2.1 Global AI Accelerator Cards Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global AI Accelerator Cards Revenue and Forecast by Application (2020-2032)
- 8.3 AI Accelerator Cards Typical Downstream Customers
- 8.4 AI Accelerator Cards Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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