Global AI GPU Supply, Demand and Key Producers, 2026-2032
Description
The global AI GPU market size is expected to reach $ 992500 million by 2032, rising at a market growth of 35.0% CAGR during the forecast period (2026-2032).
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 studies the global AI GPU production, demand, key manufacturers, and key regions.
This report is a detailed and comprehensive analysis of the world market for AI GPU and provides market size (US$ million) and Year-over-Year (YoY) Growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI GPU that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global AI GPU total production and demand, 2021-2032, (K Units)
Global AI GPU total production value, 2021-2032, (USD Million)
Global AI GPU production by region & country, production, value, CAGR, 2021-2032, (USD Million) & (K Units), (based on production site)
Global AI GPU consumption by region & country, CAGR, 2021-2032 & (K Units)
U.S. VS China: AI GPU domestic production, consumption, key domestic manufacturers and share
Global AI GPU production by manufacturer, production, price, value and market share 2021-2026, (USD Million) & (K Units)
Global AI GPU production by Type, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
Global AI GPU production by Application, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
This report profiles key players in the global AI GPU market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, AMD, Intel, Shanghai Denglin, Vastai Technologies, Shanghai Iluvatar, Metax Tech, Moore Threads, BIRENTECH, Innosilicon, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI GPU market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), volume (production, consumption) & (K Units) and average price (US$/Unit) by manufacturer, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global AI GPU Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global AI GPU Market, Segmentation by Type:
AI Training GPU
AI Inference GPU
Edge & Endpoint AI GPU
Global AI GPU Market, Segmentation by Application:
Data Center
Enterprises
HPC & Academia
Companies Profiled:
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
Key Questions Answered:
1. How big is the global AI GPU market?
2. What is the demand of the global AI GPU market?
3. What is the year over year growth of the global AI GPU market?
4. What is the production and production value of the global AI GPU market?
5. Who are the key producers in the global AI GPU market?
6. What are the growth factors driving the market demand?
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 studies the global AI GPU production, demand, key manufacturers, and key regions.
This report is a detailed and comprehensive analysis of the world market for AI GPU and provides market size (US$ million) and Year-over-Year (YoY) Growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI GPU that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global AI GPU total production and demand, 2021-2032, (K Units)
Global AI GPU total production value, 2021-2032, (USD Million)
Global AI GPU production by region & country, production, value, CAGR, 2021-2032, (USD Million) & (K Units), (based on production site)
Global AI GPU consumption by region & country, CAGR, 2021-2032 & (K Units)
U.S. VS China: AI GPU domestic production, consumption, key domestic manufacturers and share
Global AI GPU production by manufacturer, production, price, value and market share 2021-2026, (USD Million) & (K Units)
Global AI GPU production by Type, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
Global AI GPU production by Application, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
This report profiles key players in the global AI GPU market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, AMD, Intel, Shanghai Denglin, Vastai Technologies, Shanghai Iluvatar, Metax Tech, Moore Threads, BIRENTECH, Innosilicon, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI GPU market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), volume (production, consumption) & (K Units) and average price (US$/Unit) by manufacturer, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global AI GPU Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global AI GPU Market, Segmentation by Type:
AI Training GPU
AI Inference GPU
Edge & Endpoint AI GPU
Global AI GPU Market, Segmentation by Application:
Data Center
Enterprises
HPC & Academia
Companies Profiled:
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
Key Questions Answered:
1. How big is the global AI GPU market?
2. What is the demand of the global AI GPU market?
3. What is the year over year growth of the global AI GPU market?
4. What is the production and production value of the global AI GPU market?
5. Who are the key producers in the global AI GPU market?
6. What are the growth factors driving the market demand?
Table of Contents
117 Pages
- 1 Supply Summary
- 2 Demand Summary
- 3 World Manufacturers Competitive Analysis
- 4 United States VS China VS Rest of the World
- 5 Market Analysis by Type
- 6 Market Analysis by Application
- 7 Company Profiles
- 8 Industry Chain Analysis
- 9 Research Findings and Conclusion
- 10 Appendix
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
