Summary

The global market for AI GPU was estimated to be worth US$ 85625 million in 2024 and is forecast to a readjusted size of US$ 757212 million by 2031 with a CAGR of 35.8% during the forecast period 2025-2031.
This report provides a comprehensive assessment of recent tariff adjustments and international strategic countermeasures on AI GPU cross-border industrial footprints, capital allocation patterns, regional economic interdependencies, and supply chain reconfigurations.
In 2024, the global AI GPU production will be around 10.442 million units, with an average price of US$8,200 per unit.
Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms.

AI chips mainly include GPU, TPU, FPGA, ASIC, etc.
GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU.
The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms.
This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world.
Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency.

The AI ​​GPU application scenarios in this article include AI training and reasoning in data centers, edge AI, and cloud computing AI.
With the rapid development of large models and generative AI, AI GPUs are the core engine supporting computing infrastructure. The market is moving from single-purpose training or inference acceleration to a new stage of integrated development of training, inference, and training-inference. From supercomputing centers to cloud computing platforms, to edge devices and smart terminals, AI GPUs are building an integrated "cloud-edge-end" computing network, making AI as readily available as water and electricity. With compatibility with mainstream ecosystems, a unified software stack, and continuously iterating hardware architecture, AI GPUs not only significantly lower the development and migration threshold, but also significantly improve efficiency through mixed-precision computing and distributed parallelism, helping customers quickly implement large models while maintaining manageable costs. Globally, the leading AI GPU companies are NVIDIA, AMD, and Moore Threads, with NVIDIA holding over 80% market share.

This report aims to provide a comprehensive presentation of the global market for AI GPU, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of AI GPU by region & country, by Type, and by Application.
The AI GPU market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI GPU.

Market Segmentation
By Company
NVIDIA
AMD
Intel
Shanghai Denglin
Vastai Technologies
Shanghai Iluvatar
Metax Tech
Moore Threads
BIRENTECH
Innosilicon
Shenzhen Siroywe
Lisuan Technology
Glenfly Tech Co., Ltd
Sietium
Hygon Information Technology
Segment by Type
AI Training GPU
AI Inference GPU
Edge & Endpoint AI GPU
Segment by Application
Data Center
Enterprises
HPC & Academia
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (value, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI GPU manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Sales, revenue of AI GPU in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Sales, revenue of AI GPU in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table of Contents

1 Market Overview
1.1 AI GPU Product Introduction
1.2 Global AI GPU Market Size Forecast
1.2.1 Global AI GPU Sales Value (2020-2031)
1.2.2 Global AI GPU Sales Volume (2020-2031)
1.2.3 Global AI GPU Sales Price (2020-2031)
1.3 AI GPU Market Trends & Drivers
1.3.1 AI GPU Industry Trends
1.3.2 AI GPU Market Drivers & Opportunity
1.3.3 AI GPU Market Challenges
1.3.4 AI GPU Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI GPU Players Revenue Ranking (2024)
2.2 Global AI GPU Revenue by Company (2020-2025)
2.3 Global AI GPU Players Sales Volume Ranking (2024)
2.4 Global AI GPU Sales Volume by Company Players (2020-2025)
2.5 Global AI GPU Average Price by Company (2020-2025)
2.6 Key Manufacturers AI GPU Manufacturing Base and Headquarters
2.7 Key Manufacturers AI GPU Product Offered
2.8 Key Manufacturers Time to Begin Mass Production of AI GPU
2.9 AI GPU Market Competitive Analysis
2.9.1 AI GPU Market Concentration Rate (2020-2025)
2.9.2 Global 5 and 10 Largest Manufacturers by AI GPU Revenue in 2024
2.9.3 Global Top Manufacturers by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI GPU as of 2024)
2.10 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 AI Training GPU
3.1.2 AI Inference GPU
3.1.3 Edge & Endpoint AI GPU
3.2 Global AI GPU Sales Value by Type
3.2.1 Global AI GPU Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI GPU Sales Value, by Type (2020-2031)
3.2.3 Global AI GPU Sales Value, by Type (%) (2020-2031)
3.3 Global AI GPU Sales Volume by Type
3.3.1 Global AI GPU Sales Volume by Type (2020 VS 2024 VS 2031)
3.3.2 Global AI GPU Sales Volume, by Type (2020-2031)
3.3.3 Global AI GPU Sales Volume, by Type (%) (2020-2031)
3.4 Global AI GPU Average Price by Type (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Data Center
4.1.2 Enterprises
4.1.3 HPC & Academia
4.2 Global AI GPU Sales Value by Application
4.2.1 Global AI GPU Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global AI GPU Sales Value, by Application (2020-2031)
4.2.3 Global AI GPU Sales Value, by Application (%) (2020-2031)
4.3 Global AI GPU Sales Volume by Application
4.3.1 Global AI GPU Sales Volume by Application (2020 VS 2024 VS 2031)
4.3.2 Global AI GPU Sales Volume, by Application (2020-2031)
4.3.3 Global AI GPU Sales Volume, by Application (%) (2020-2031)
4.4 Global AI GPU Average Price by Application (2020-2031)
5 Segmentation by Region
5.1 Global AI GPU Sales Value by Region
5.1.1 Global AI GPU Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global AI GPU Sales Value by Region (2020-2025)
5.1.3 Global AI GPU Sales Value by Region (2026-2031)
5.1.4 Global AI GPU Sales Value by Region (%), (2020-2031)
5.2 Global AI GPU Sales Volume by Region
5.2.1 Global AI GPU Sales Volume by Region: 2020 VS 2024 VS 2031
5.2.2 Global AI GPU Sales Volume by Region (2020-2025)
5.2.3 Global AI GPU Sales Volume by Region (2026-2031)
5.2.4 Global AI GPU Sales Volume by Region (%), (2020-2031)
5.3 Global AI GPU Average Price by Region (2020-2031)
5.4 North America
5.4.1 North America AI GPU Sales Value, 2020-2031
5.4.2 North America AI GPU Sales Value by Country (%), 2024 VS 2031
5.5 Europe
5.5.1 Europe AI GPU Sales Value, 2020-2031
5.5.2 Europe AI GPU Sales Value by Country (%), 2024 VS 2031
5.6 Asia Pacific
5.6.1 Asia Pacific AI GPU Sales Value, 2020-2031
5.6.2 Asia Pacific AI GPU Sales Value by Region (%), 2024 VS 2031
5.7 South America
5.7.1 South America AI GPU Sales Value, 2020-2031
5.7.2 South America AI GPU Sales Value by Country (%), 2024 VS 2031
5.8 Middle East & Africa
5.8.1 Middle East & Africa AI GPU Sales Value, 2020-2031
5.8.2 Middle East & Africa AI GPU Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI GPU Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions AI GPU Sales Value and Sales Volume
6.2.1 Key Countries/Regions AI GPU Sales Value, 2020-2031
6.2.2 Key Countries/Regions AI GPU Sales Volume, 2020-2031
6.3 United States
6.3.1 United States AI GPU Sales Value, 2020-2031
6.3.2 United States AI GPU Sales Value by Type (%), 2024 VS 2031
6.3.3 United States AI GPU Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe AI GPU Sales Value, 2020-2031
6.4.2 Europe AI GPU Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe AI GPU Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China AI GPU Sales Value, 2020-2031
6.5.2 China AI GPU Sales Value by Type (%), 2024 VS 2031
6.5.3 China AI GPU Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan AI GPU Sales Value, 2020-2031
6.6.2 Japan AI GPU Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan AI GPU Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea AI GPU Sales Value, 2020-2031
6.7.2 South Korea AI GPU Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea AI GPU Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia AI GPU Sales Value, 2020-2031
6.8.2 Southeast Asia AI GPU Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia AI GPU Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India AI GPU Sales Value, 2020-2031
6.9.2 India AI GPU Sales Value by Type (%), 2024 VS 2031
6.9.3 India AI GPU Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 NVIDIA
7.1.1 NVIDIA Company Information
7.1.2 NVIDIA Introduction and Business Overview
7.1.3 NVIDIA AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.1.4 NVIDIA AI GPU Product Offerings
7.1.5 NVIDIA Recent Development
7.2 AMD
7.2.1 AMD Company Information
7.2.2 AMD Introduction and Business Overview
7.2.3 AMD AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.2.4 AMD AI GPU Product Offerings
7.2.5 AMD Recent Development
7.3 Intel
7.3.1 Intel Company Information
7.3.2 Intel Introduction and Business Overview
7.3.3 Intel AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.3.4 Intel AI GPU Product Offerings
7.3.5 Intel Recent Development
7.4 Shanghai Denglin
7.4.1 Shanghai Denglin Company Information
7.4.2 Shanghai Denglin Introduction and Business Overview
7.4.3 Shanghai Denglin AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.4.4 Shanghai Denglin AI GPU Product Offerings
7.4.5 Shanghai Denglin Recent Development
7.5 Vastai Technologies
7.5.1 Vastai Technologies Company Information
7.5.2 Vastai Technologies Introduction and Business Overview
7.5.3 Vastai Technologies AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.5.4 Vastai Technologies AI GPU Product Offerings
7.5.5 Vastai Technologies Recent Development
7.6 Shanghai Iluvatar
7.6.1 Shanghai Iluvatar Company Information
7.6.2 Shanghai Iluvatar Introduction and Business Overview
7.6.3 Shanghai Iluvatar AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.6.4 Shanghai Iluvatar AI GPU Product Offerings
7.6.5 Shanghai Iluvatar Recent Development
7.7 Metax Tech
7.7.1 Metax Tech Company Information
7.7.2 Metax Tech Introduction and Business Overview
7.7.3 Metax Tech AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.7.4 Metax Tech AI GPU Product Offerings
7.7.5 Metax Tech Recent Development
7.8 Moore Threads
7.8.1 Moore Threads Company Information
7.8.2 Moore Threads Introduction and Business Overview
7.8.3 Moore Threads AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.8.4 Moore Threads AI GPU Product Offerings
7.8.5 Moore Threads Recent Development
7.9 BIRENTECH
7.9.1 BIRENTECH Company Information
7.9.2 BIRENTECH Introduction and Business Overview
7.9.3 BIRENTECH AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.9.4 BIRENTECH AI GPU Product Offerings
7.9.5 BIRENTECH Recent Development
7.10 Innosilicon
7.10.1 Innosilicon Company Information
7.10.2 Innosilicon Introduction and Business Overview
7.10.3 Innosilicon AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.10.4 Innosilicon AI GPU Product Offerings
7.10.5 Innosilicon Recent Development
7.11 Shenzhen Siroywe
7.11.1 Shenzhen Siroywe Company Information
7.11.2 Shenzhen Siroywe Introduction and Business Overview
7.11.3 Shenzhen Siroywe AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.11.4 Shenzhen Siroywe AI GPU Product Offerings
7.11.5 Shenzhen Siroywe Recent Development
7.12 Lisuan Technology
7.12.1 Lisuan Technology Company Information
7.12.2 Lisuan Technology Introduction and Business Overview
7.12.3 Lisuan Technology AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.12.4 Lisuan Technology AI GPU Product Offerings
7.12.5 Lisuan Technology Recent Development
7.13 Glenfly Tech Co., Ltd
7.13.1 Glenfly Tech Co., Ltd Company Information
7.13.2 Glenfly Tech Co., Ltd Introduction and Business Overview
7.13.3 Glenfly Tech Co., Ltd AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.13.4 Glenfly Tech Co., Ltd AI GPU Product Offerings
7.13.5 Glenfly Tech Co., Ltd Recent Development
7.14 Sietium
7.14.1 Sietium Company Information
7.14.2 Sietium Introduction and Business Overview
7.14.3 Sietium AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.14.4 Sietium AI GPU Product Offerings
7.14.5 Sietium Recent Development
7.15 Hygon Information Technology
7.15.1 Hygon Information Technology Company Information
7.15.2 Hygon Information Technology Introduction and Business Overview
7.15.3 Hygon Information Technology AI GPU Sales, Revenue, Price and Gross Margin (2020-2025)
7.15.4 Hygon Information Technology AI GPU Product Offerings
7.15.5 Hygon Information Technology Recent Development
8 Industry Chain Analysis
8.1 AI GPU Industrial Chain
8.2 AI GPU Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI GPU Sales Model
8.5.2 Sales Channel
8.5.3 AI GPU Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer