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.
According to DIResearch's in-depth investigation and research, the global AI Accelerator Cards market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers 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 manufacturers, 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 North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, 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 Manufacturers 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 Trends
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 and Forecast Analysis
Chapter 5: Global AI Accelerator Cards Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger AI Accelerator Cards Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe AI Accelerator Cards Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China AI Accelerator Cards Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) AI Accelerator Cards Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America AI Accelerator Cards Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa AI Accelerator Cards Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global AI Accelerator Cards Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
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