Global AI GPU 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 GPU market size will reach 101,842 Million USD in 2025 and is projected to reach 590,143 Million USD by 2032, with a CAGR of 28.53% (2025-2032). Notably, the China AI GPU 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
An AI GPU, or Artificial Intelligence Graphics Processing Unit, is a specialized type of graphics processing unit (GPU) optimized for running artificial intelligence (AI) and machine learning (ML) algorithms. These GPUs are designed to handle the parallel processing demands of AI workloads, which often involve complex mathematical calculations and massive datasets. Unlike traditional GPUs primarily used for graphics rendering, AI GPUs feature architectures with a high number of cores and specialized processing units, such as tensor cores, specifically designed for matrix multiplication and deep learning tasks. Popular AI GPU architectures include NVIDIA＇s Tensor Core GPUs, such as those found in the NVIDIA Tesla and NVIDIA GeForce RTX series, as well as AMD＇s Radeon Instinct GPUs. AI GPUs are widely used in AI research, deep learning training, and inference tasks, powering applications ranging from image and speech recognition to autonomous vehicles and natural language processing. They offer significant performance improvements and efficiency gains over traditional CPUs for AI workloads, making them essential components in modern AI systems.
The major global manufacturers of AI GPU include NVIDIA, AMD, 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 GPU. 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 GPU 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 GPU 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 GPU 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 GPU Include:
NVIDIA
AMD
AI GPU Product Segment Include:
16/32G
80G
Others
AI GPU Product Application Include:
Cloud Computing
Edge Computing
Data Center
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global AI GPU Industry PESTEL Analysis
Chapter 3: Global AI GPU Industry Porter's Five Forces Analysis
Chapter 4: Global AI GPU Major Regional Market Size (Sales, Revenue, Price) and Forecast Analysis
Chapter 5: Global AI GPU Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)
Chapter 6: Global AI GPU Sales, Revenue, Price and Forecast by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)
Chapter 8: Industrial Chain Analysis, AI GPU Different Application Market Analysis (Sales and Revenue), 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 GPU market size will reach 101,842 Million USD in 2025 and is projected to reach 590,143 Million USD by 2032, with a CAGR of 28.53% (2025-2032). Notably, the China AI GPU 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
An AI GPU, or Artificial Intelligence Graphics Processing Unit, is a specialized type of graphics processing unit (GPU) optimized for running artificial intelligence (AI) and machine learning (ML) algorithms. These GPUs are designed to handle the parallel processing demands of AI workloads, which often involve complex mathematical calculations and massive datasets. Unlike traditional GPUs primarily used for graphics rendering, AI GPUs feature architectures with a high number of cores and specialized processing units, such as tensor cores, specifically designed for matrix multiplication and deep learning tasks. Popular AI GPU architectures include NVIDIA＇s Tensor Core GPUs, such as those found in the NVIDIA Tesla and NVIDIA GeForce RTX series, as well as AMD＇s Radeon Instinct GPUs. AI GPUs are widely used in AI research, deep learning training, and inference tasks, powering applications ranging from image and speech recognition to autonomous vehicles and natural language processing. They offer significant performance improvements and efficiency gains over traditional CPUs for AI workloads, making them essential components in modern AI systems.
The major global manufacturers of AI GPU include NVIDIA, AMD, 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 GPU. 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 GPU 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 GPU 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 GPU 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 GPU Include:
NVIDIA
AMD
AI GPU Product Segment Include:
16/32G
80G
Others
AI GPU Product Application Include:
Cloud Computing
Edge Computing
Data Center
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global AI GPU Industry PESTEL Analysis
Chapter 3: Global AI GPU Industry Porter's Five Forces Analysis
Chapter 4: Global AI GPU Major Regional Market Size (Sales, Revenue, Price) and Forecast Analysis
Chapter 5: Global AI GPU Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)
Chapter 6: Global AI GPU Sales, Revenue, Price and Forecast by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)
Chapter 8: Industrial Chain Analysis, AI GPU Different Application Market Analysis (Sales and Revenue), Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 AI GPU Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 AI GPU Product by Type
- 1.2.1 16/32G
- 1.2.2 80G
- 1.2.3 Others
- 1.3 AI GPU Product by Application
- 1.3.1 Cloud Computing
- 1.3.2 Edge Computing
- 1.3.3 Data Center
- 1.4 Global AI GPU Market Revenue and Sales Analysis
- 1.4.1 Global AI GPU Revenue Market Size Analysis (2020-2032)
- 1.4.2 Global AI GPU Sales Market Size Analysis (2020-2032)
- 1.4.3 Global AI GPU Market Sales Price Trend Analysis (2020-2032)
- 1.5 AI GPU Market Development Status and Trends
- 1.5.1 AI GPU Industry Development Status Analysis
- 1.5.2 AI GPU Industry Development Trends Analysis
- 2 AI GPU 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 GPU 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 GPU Market Analysis by Country
- 4.1 Global AI GPU Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global AI GPU Revenue and Market Share by Country (2020-2025)
- 4.1.2 Global AI GPU Revenue and Market Share Forecast by Country (2026-2032)
- 4.2 Global AI GPU Sales Analysis by Country: 2024 VS 2025 VS 2032
- 4.2.1 Global AI GPU Sales and Market Share by Country (2020-2025)
- 4.2.2 Global AI GPU Sales and Market Share Forecast by Country (2026-2032)
- 4.3 United States AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.4 Germany AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.5 Japan AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.6 China AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.7 France AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.8 U.K. AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.9 South Korea AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.10 Canada AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.11 Italy AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.12 Russia AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.13 Mexico AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.14 Brazil AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.15 India AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.16 Vietnam AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.17 Thailand AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 4.18 South Africa AI GPU Market Sales, Revenue and Growth Rate (2020-2032)
- 5 Competition by Manufacturers
- 5.1 Global AI GPU Market Sales, Revenue and Sales Price by Key Manufacturers (2021-2025)
- 5.1.1 Global AI GPU Market Sales by Key Manufacturers (2021-2025)
- 5.1.2 Global AI GPU Market Revenue by Key Manufacturers (2021-2025)
- 5.1.3 Global AI GPU Average Sales Price by Manufacturers (2021-2025)
- 5.2 AI GPU Competitive Landscape Analysis and Market Dynamic
- 5.2.1 AI GPU Competitive Landscape Analysis
- 5.2.2 Global Key Manufacturers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 AI GPU Market Analysis by Type
- 6.1 Global AI GPU Market Revenue Analysis by Type
- 6.1.1 Global AI GPU Market Size Analysis by Type: 2024 & 2025 & 2032
- 6.1.2 Global AI GPU Revenue and Forecast Analysis by Type (2020-2032)
- 6.2 Global AI GPU Market Sales and Forecast Analysis by Type (2020-2032)
- 6.3 Global AI GPU Sales Price Trend 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 GPU Product Portfolio
- 7.1.3 NVIDIA AI GPU Market Data Analysis (Revenue, Sales, Price, 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 GPU Product Portfolio
- 7.2.3 AMD AI GPU Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 AI GPU Industry Chain Analysis
- 8.2 AI GPU Industry Upstream Supply Analysis
- 8.2.1 Upstream Key Raw Material Supply Analysis
- 8.2.2 Raw Material Suppliers and Contact Information
- 8.3 AI GPU Product Downstream Application Analysis
- 8.3.1 Global AI GPU Revenue Market Size by Application: 2024 & 2025 & 2032
- 8.3.2 Global AI GPU Revenue and Forecast Analysis by Application (2020-2032)
- 8.3.3 Global AI GPU Sales and Forecast Analysis by Application (2020-2032)
- 8.4 AI GPU Typical Downstream Customers
- 8.5 AI GPU 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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