Part 1
Part 2
Part 3
Part 5
Description
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. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on. The global market for AI GPU was estimated to be worth US$ 36800 million in 2023 and is forecast to a readjusted size of US$ 373210 million by 2030 with a CAGR of 30.7% during the forecast period 2024-2030.
AI GPU Market Size
M= millions and B=billions
Global key players of AI GPU include NVIDIA, Intel, Shanghai Denglin, etc. The top three players hold a share over 99%. China is the largest market, and has a share about 68%, followed by America and Europe with share 24% and 4%, separately. In terms of product type, 32-80GB is the largest segment, occupied for a share of 73%. In terms of application, Machine Learning has a share about 82 percent.
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 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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
Report Metric
Details
Report Title
AI GPU- Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Forecasted Market Size in 2030
US$ 373210 million
CAGR(2024-2030)
30.7%
Market Size Available for Years
2019-2030
Global AI GPU Market, by Region
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI GPU Market, Segment by Type
≤16GB
32-80GB
Above 80GB
Global AI GPU Market, Segment by Application
Machine Learning
Language Models/NLP
Computer Vision
Others
Forecast Units
USD million in value
Report Coverage
Revenue and volume forecast, company share, competitive landscape, growth factors and trends
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.
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 (2019-2030)
1.2.2 Global AI GPU Sales Volume (2019-2030)
1.2.3 Global AI GPU Sales Price (2019-2030)
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 (2023)
2.2 Global AI GPU Revenue by Company (2019-2024)
2.3 Global AI GPU Players Sales Volume Ranking (2023)
2.4 Global AI GPU Sales Volume by Company Players (2019-2024)
2.5 Global AI GPU Average Price by Company (2019-2024)
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 (2019-2024)
2.9.2 Global 5 and 10 Largest Manufacturers by AI GPU Revenue in 2023
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 2023)
2.10 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 ≤16GB
3.1.2 32-80GB
3.1.3 Above 80GB
3.2 Global AI GPU Sales Value by Type
3.2.1 Global AI GPU Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI GPU Sales Value, by Type (2019-2030)
3.2.3 Global AI GPU Sales Value, by Type (%) (2019-2030)
3.3 Global AI GPU Sales Volume by Type
3.3.1 Global AI GPU Sales Volume by Type (2019 VS 2023 VS 2030)
3.3.2 Global AI GPU Sales Volume, by Type (2019-2030)
3.3.3 Global AI GPU Sales Volume, by Type (%) (2019-2030)
3.4 Global AI GPU Average Price by Type (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Machine Learning
4.1.2 Language Models/NLP
4.1.3 Computer Vision
4.1.4 Others
4.2 Global AI GPU Sales Value by Application
4.2.1 Global AI GPU Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI GPU Sales Value, by Application (2019-2030)
4.2.3 Global AI GPU Sales Value, by Application (%) (2019-2030)
4.3 Global AI GPU Sales Volume by Application
4.3.1 Global AI GPU Sales Volume by Application (2019 VS 2023 VS 2030)
4.3.2 Global AI GPU Sales Volume, by Application (2019-2030)
4.3.3 Global AI GPU Sales Volume, by Application (%) (2019-2030)
4.4 Global AI GPU Average Price by Application (2019-2030)
5 Segmentation by Region
5.1 Global AI GPU Sales Value by Region
5.1.1 Global AI GPU Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI GPU Sales Value by Region (2019-2024)
5.1.3 Global AI GPU Sales Value by Region (2025-2030)
5.1.4 Global AI GPU Sales Value by Region (%), (2019-2030)
5.2 Global AI GPU Sales Volume by Region
5.2.1 Global AI GPU Sales Volume by Region: 2019 VS 2023 VS 2030
5.2.2 Global AI GPU Sales Volume by Region (2019-2024)
5.2.3 Global AI GPU Sales Volume by Region (2025-2030)
5.2.4 Global AI GPU Sales Volume by Region (%), (2019-2030)
5.3 Global AI GPU Average Price by Region (2019-2030)
5.4 North America
5.4.1 North America AI GPU Sales Value, 2019-2030
5.4.2 North America AI GPU Sales Value by Country (%), 2023 VS 2030
5.5 Europe
5.5.1 Europe AI GPU Sales Value, 2019-2030
5.5.2 Europe AI GPU Sales Value by Country (%), 2023 VS 2030
5.6 Asia Pacific
5.6.1 Asia Pacific AI GPU Sales Value, 2019-2030
5.6.2 Asia Pacific AI GPU Sales Value by Region (%), 2023 VS 2030
5.7 South America
5.7.1 South America AI GPU Sales Value, 2019-2030
5.7.2 South America AI GPU Sales Value by Country (%), 2023 VS 2030
5.8 Middle East & Africa
5.8.1 Middle East & Africa AI GPU Sales Value, 2019-2030
5.8.2 Middle East & Africa AI GPU Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI GPU Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI GPU Sales Value
6.2.1 Key Countries/Regions AI GPU Sales Value, 2019-2030
6.2.2 Key Countries/Regions AI GPU Sales Volume, 2019-2030
6.3 United States
6.3.1 United States AI GPU Sales Value, 2019-2030
6.3.2 United States AI GPU Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI GPU Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI GPU Sales Value, 2019-2030
6.4.2 Europe AI GPU Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI GPU Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI GPU Sales Value, 2019-2030
6.5.2 China AI GPU Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI GPU Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI GPU Sales Value, 2019-2030
6.6.2 Japan AI GPU Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI GPU Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI GPU Sales Value, 2019-2030
6.7.2 South Korea AI GPU Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI GPU Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI GPU Sales Value, 2019-2030
6.8.2 Southeast Asia AI GPU Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI GPU Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI GPU Sales Value, 2019-2030
6.9.2 India AI GPU Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI GPU Sales Value by Application, 2023 VS 2030
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
7.7.4 Metax Tech AI GPU Product Offerings
7.7.5 Metax Tech 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
Table of Figures
List of Tables
Table 1. AI GPU Market Trends
Table 2. AI GPU Market Drivers & Opportunity
Table 3. AI GPU Market Challenges
Table 4. AI GPU Market Restraints
Table 5. Global AI GPU Revenue by Company (2019-2024) & (US$ Million)
Table 6. Global AI GPU Revenue Market Share by Company (2019-2024)
Table 7. Global AI GPU Sales Volume by Company (2019-2024) & (K Units)
Table 8. Global AI GPU Sales Volume Market Share by Company (2019-2024)
Table 9. Global Market AI GPU Price by Company (2019-2024) & (US$/Unit)
Table 10. Key Manufacturers AI GPU Manufacturing Base and Headquarters
Table 11. Key Manufacturers AI GPU Product Type
Table 12. Key Manufacturers Time to Begin Mass Production of AI GPU
Table 13. Global AI GPU Manufacturers Market Concentration Ratio (CR5 and HHI)
Table 14. Global Top Manufacturers Market Share by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI GPU as of 2023)
Table 15. Mergers & Acquisitions, Expansion Plans
Table 16. Global AI GPU Sales Value by Type: 2019 VS 2023 VS 2030 (US$ Million)
Table 17. Global AI GPU Sales Value by Type (2019-2024) & (US$ Million)
Table 18. Global AI GPU Sales Value by Type (2025-2030) & (US$ Million)
Table 19. Global AI GPU Sales Market Share in Value by Type (2019-2024)
Table 20. Global AI GPU Sales Market Share in Value by Type (2025-2030)
Table 21. Global AI GPU Sales Volume by Type: 2019 VS 2023 VS 2030 (K Units)
Table 22. Global AI GPU Sales Volume by Type (2019-2024) & (K Units)
Table 23. Global AI GPU Sales Volume by Type (2025-2030) & (K Units)
Table 24. Global AI GPU Sales Market Share in Volume by Type (2019-2024)
Table 25. Global AI GPU Sales Market Share in Volume by Type (2025-2030)
Table 26. Global AI GPU Price by Type (2019-2024) & (US$/Unit)
Table 27. Global AI GPU Price by Type (2025-2030) & (US$/Unit)
Table 28. Global AI GPU Sales Value by Application: 2019 VS 2023 VS 2030 (US$ Million)
Table 29. Global AI GPU Sales Value by Application (2019-2024) & (US$ Million)
Table 30. Global AI GPU Sales Value by Application (2025-2030) & (US$ Million)
Table 31. Global AI GPU Sales Market Share in Value by Application (2019-2024)
Table 32. Global AI GPU Sales Market Share in Value by Application (2025-2030)
Table 33. Global AI GPU Sales Volume by Application: 2019 VS 2023 VS 2030 (K Units)
Table 34. Global AI GPU Sales Volume by Application (2019-2024) & (K Units)
Table 35. Global AI GPU Sales Volume by Application (2025-2030) & (K Units)
Table 36. Global AI GPU Sales Market Share in Volume by Application (2019-2024)
Table 37. Global AI GPU Sales Market Share in Volume by Application (2025-2030)
Table 38. Global AI GPU Price by Application (2019-2024) & (US$/Unit)
Table 39. Global AI GPU Price by Application (2025-2030) & (US$/Unit)
Table 40. Global AI GPU Sales Value by Region, (2019 VS 2023 VS 2030) & (US$ Million)
Table 41. Global AI GPU Sales Value by Region (2019-2024) & (US$ Million)
Table 42. Global AI GPU Sales Value by Region (2025-2030) & (US$ Million)
Table 43. Global AI GPU Sales Value by Region (2019-2024) & (%)
Table 44. Global AI GPU Sales Value by Region (2025-2030) & (%)
Table 45. Global AI GPU Sales Volume by Region (K Units): 2019 VS 2023 VS 2030
Table 46. Global AI GPU Sales Volume by Region (2019-2024) & (K Units)
Table 47. Global AI GPU Sales Volume by Region (2025-2030) & (K Units)
Table 48. Global AI GPU Sales Volume by Region (2019-2024) & (%)
Table 49. Global AI GPU Sales Volume by Region (2025-2030) & (%)
Table 50. Global AI GPU Average Price by Region (2019-2024) & (US$/Unit)
Table 51. Global AI GPU Average Price by Region (2025-2030) & (US$/Unit)
Table 52. Key Countries/Regions AI GPU Sales Value Growth Trends, (US$ Million): 2019 VS 2023 VS 2030
Table 53. Key Countries/Regions AI GPU Sales Value, (2019-2024) & (US$ Million)
Table 54. Key Countries/Regions AI GPU Sales Value, (2025-2030) & (US$ Million)
Table 55. Key Countries/Regions AI GPU Sales Volume, (2019-2024) & (K Units)
Table 56. Key Countries/Regions AI GPU Sales Volume, (2025-2030) & (K Units)
Table 57. NVIDIA Company Information
Table 58. NVIDIA Introduction and Business Overview
Table 59. NVIDIA AI GPU Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 60. NVIDIA AI GPU Product Offerings
Table 61. NVIDIA Recent Development
Table 62. AMD Company Information
Table 63. AMD Introduction and Business Overview
Table 64. AMD AI GPU Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 65. AMD AI GPU Product Offerings
Table 66. AMD Recent Development
Table 67. Intel Company Information
Table 68. Intel Introduction and Business Overview
Table 69. Intel AI GPU Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 70. Intel AI GPU Product Offerings
Table 71. Intel Recent Development
Table 72. Shanghai Denglin Company Information
Table 73. Shanghai Denglin Introduction and Business Overview
Table 74. Shanghai Denglin AI GPU Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 75. Shanghai Denglin AI GPU Product Offerings
Table 76. Shanghai Denglin Recent Development
Table 77. Vastai Technologies Company Information
Table 78. Vastai Technologies Introduction and Business Overview
Table 79. Vastai Technologies AI GPU Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 80. Vastai Technologies AI GPU Product Offerings
Table 81. Vastai Technologies Recent Development
Table 82. Shanghai Iluvatar Company Information
Table 83. Shanghai Iluvatar Introduction and Business Overview
Table 84. Shanghai Iluvatar AI GPU Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 85. Shanghai Iluvatar AI GPU Product Offerings
Table 86. Shanghai Iluvatar Recent Development
Table 87. Metax Tech Company Information
Table 88. Metax Tech Introduction and Business Overview
Table 89. Metax Tech AI GPU Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 90. Metax Tech AI GPU Product Offerings
Table 91. Metax Tech Recent Development
Table 92. Key Raw Materials Lists
Table 93. Raw Materials Key Suppliers Lists
Table 94. AI GPU Downstream Customers
Table 95. AI GPU Distributors List
Table 96. Research Programs/Design for This Report
Table 97. Key Data Information from Secondary Sources
Table 98. Key Data Information from Primary Sources
List of Figures
Figure 1. AI GPU Product Picture
Figure 2. Global AI GPU Sales Value, 2019 VS 2023 VS 2030 (US$ Million)
Figure 3. Global AI GPU Sales Value (2019-2030) & (US$ Million)
Figure 4. Global AI GPU Sales Volume (2019-2030) & (K Units)
Figure 5. Global AI GPU Sales Price (2019-2030) & (US$/Unit)
Figure 6. AI GPU Report Years Considered
Figure 7. Global AI GPU Players Revenue Ranking (2023) & (US$ Million)
Figure 8. Global AI GPU Players Sales Volume Ranking (2023) & (US$ Million)
Figure 9. The 5 and 10 Largest Manufacturers in the World: Market Share by AI GPU Revenue in 2023
Figure 10. AI GPU Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023
Figure 11. ≤16GB Picture
Figure 12. 32-80GB Picture
Figure 13. Above 80GB Picture
Figure 14. Global AI GPU Sales Value by Type (2019 VS 2023 VS 2030) & (US$ Million)
Figure 15. Global AI GPU Sales Value Market Share by Type, 2023 & 2030
Figure 16. Global AI GPU Sales Volume by Type (2019 VS 2023 VS 2030) & (K Units)
Figure 17. Global AI GPU Sales Volume Market Share by Type, 2023 & 2030
Figure 18. Global AI GPU Price by Type (2019-2030) & (US$/Unit)
Figure 19. Product Picture of Machine Learning
Figure 20. Product Picture of Language Models/NLP
Figure 21. Product Picture of Computer Vision
Figure 22. Product Picture of Others
Figure 23. Global AI GPU Sales Value by Application (2019 VS 2023 VS 2030) & (US$ Million)
Figure 24. Global AI GPU Sales Value Market Share by Application, 2023 & 2030
Figure 25. Global AI GPU Sales Volume by Application (2019 VS 2023 VS 2030) & (K Units)
Figure 26. Global AI GPU Sales Volume Market Share by Application, 2023 & 2030
Figure 27. Global AI GPU Price by Application (2019-2030) & (US$/Unit)
Figure 28. North America AI GPU Sales Value (2019-2030) & (US$ Million)
Figure 29. North America AI GPU Sales Value by Country (%), 2023 VS 2030
Figure 30. Europe AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 31. Europe AI GPU Sales Value by Country (%), 2023 VS 2030
Figure 32. Asia Pacific AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 33. Asia Pacific AI GPU Sales Value by Region (%), 2023 VS 2030
Figure 34. South America AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 35. South America AI GPU Sales Value by Country (%), 2023 VS 2030
Figure 36. Middle East & Africa AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 37. Middle East & Africa AI GPU Sales Value by Country (%), 2023 VS 2030
Figure 38. Key Countries/Regions AI GPU Sales Value (%), (2019-2030)
Figure 39. Key Countries/Regions AI GPU Sales Volume (%), (2019-2030)
Figure 40. United States AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 41. United States AI GPU Sales Value by Type (%), 2023 VS 2030
Figure 42. United States AI GPU Sales Value by Application (%), 2023 VS 2030
Figure 43. Europe AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 44. Europe AI GPU Sales Value by Type (%), 2023 VS 2030
Figure 45. Europe AI GPU Sales Value by Application (%), 2023 VS 2030
Figure 46. China AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 47. China AI GPU Sales Value by Type (%), 2023 VS 2030
Figure 48. China AI GPU Sales Value by Application (%), 2023 VS 2030
Figure 49. Japan AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 50. Japan AI GPU Sales Value by Type (%), 2023 VS 2030
Figure 51. Japan AI GPU Sales Value by Application (%), 2023 VS 2030
Figure 52. South Korea AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 53. South Korea AI GPU Sales Value by Type (%), 2023 VS 2030
Figure 54. South Korea AI GPU Sales Value by Application (%), 2023 VS 2030
Figure 55. Southeast Asia AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 56. Southeast Asia AI GPU Sales Value by Type (%), 2023 VS 2030
Figure 57. Southeast Asia AI GPU Sales Value by Application (%), 2023 VS 2030
Figure 58. India AI GPU Sales Value, (2019-2030) & (US$ Million)
Figure 59. India AI GPU Sales Value by Type (%), 2023 VS 2030
Figure 60. India AI GPU Sales Value by Application (%), 2023 VS 2030
Figure 61. AI GPU Industrial Chain
Figure 62. AI GPU Manufacturing Cost Structure
Figure 63. Channels of Distribution (Direct Sales, and Distribution)
Figure 64. Bottom-up and Top-down Approaches for This Report
Figure 65. Data Triangulation
Figure 66. Key Executives Interviewed
Description
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. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on. The global market for AI GPU was estimated to be worth US$ 36800 million in 2023 and is forecast to a readjusted size of US$ 373210 million by 2030 with a CAGR of 30.7% during the forecast period 2024-2030.
Global key players of AI GPU include NVIDIA, Intel, Shanghai Denglin, etc. The top three players hold a share over 99%. China is the largest market, and has a share about 68%, followed by America and Europe with share 24% and 4%, separately. In terms of product type, 32-80GB is the largest segment, occupied for a share of 73%. In terms of application, Machine Learning has a share about 82 percent.
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 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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
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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English
Simon Lee
English
Hitesh
Chinese
Damon
Japanese
Tang Xin
Korean
Sung-Bin Yoon
Competition
Key players, new entrants,acquisitions, mergers and expansions,development trends and challenges.
Industry Analysis
Rawmaterial, application, product type, demand,supply,downstream, supply chain etc.
Market Size
Capacity, production, sales, revenue, price, cost etc.
Customized Information
We can offer customized survey and information to meet ourclient's need.
Fastest report delivery service
More than 17 years of vast experience
Operation for 24 * 7 & 365 days
In-depth and comprehensive analysis
Professional and timely after-sales service
Owns large database
English
Simon Lee
English
Hitesh
Chinese
Damon
Japanese
Tang Xin
Korean
Sung-Bin Yoon
Competition
Key players, new entrants,acquisitions, mergers and expansions,development trends and challenges.
Industry Analysis
Rawmaterial, application, product type, demand,supply,downstream, supply chain etc.
Market Size
Capacity, production, sales, revenue, price, cost etc.
Customized Information
We can offer customized survey and information to meet ourclient's need.
Fastest report delivery service
More than 17 years of vast experience
Operation for 24 * 7 & 365 days
In-depth and comprehensive analysis
Professional and timely after-sales service
Owns large database
Add to Cart
Buy Now