Industry: Electronics & Semiconductor
Published Date: 2024-04-15
Pages: 134 Pages
Report ld: 2680858
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AI GPU Market Size(US$)

CAGR 2024-2030
30.7%
Market Size,2030
USD 373,210
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
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 AI GPU market is projected to grow from US$ 74970 million in 2024 to US$ 373210 million by 2030, at a Compound Annual Growth Rate (CAGR) of 30.7% during the forecast period.
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.
In terms of production side, this report researches the AI GPU production, growth rate, market share by manufacturers and by region (region level and country level), from 2019 to 2024, and forecast to 2030.
In terms of consumption side, this report focuses on the sales of AI GPU by region (region level and country level), by company, by Type and by Application. from 2019 to 2024 and forecast to 2030.
This report presents an overview of global market for AI GPU, capacity, output, revenue and price. Analyses of the global market trends, with historic market revenue/sales data for 2019 - 2024, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of AI GPU, also provides the consumption of main regions and countries. Highlights of the upcoming market potential for AI GPU, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI GPU sales, revenue, market share and industry ranking of main manufacturers, data from 2019 to 2024. Identification of the major stakeholders in the global AI GPU market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, sales, revenue, and price, from 2019 to 2030. Evaluation and forecast the market size for AI GPU sales, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including NVIDIA, AMD, Intel, Shanghai Denglin, Vastai Technologies, Shanghai Iluvatar, Metax Tech, etc.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type and by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: AI GPU production/output of global and key producers (regions/countries). It provides a quantitative analysis of the production, and development potential of each producer in the next six years.
Chapter 3: Sales (consumption), revenue of AI GPU in global, regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 4: Detailed analysis of AI GPU manufacturers competitive landscape, price, sales, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by Type, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by Application, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: North America (US & Canada) by Type, by Application and by country, sales, and revenue for each segment.
Chapter 8: Europe by Type, by Application and by country, sales, and revenue for each segment.
Chapter 9: China by Type, and by Application, sales, and revenue for each segment.
Chapter 10: Asia (excluding China) by Type, by Application and by region, sales, and revenue for each segment.
Chapter 11: Middle East, Africa, Latin America by Type, by Application and by country, sales, and revenue for each segment.
Chapter 12: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI GPU sales, revenue, price, gross margin, and recent development, etc.
Chapter 13: Analysis of industrial chain, sales channel, key raw materials, distributors and customers.
Chapter 14: Introduces 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 15: The main points and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Study Coverage
1.1 AI GPU Product Introduction
1.2 Market by Type
1.2.1 Global AI GPU Market Size by Type, 2019 VS 2023 VS 2030
1.2.2 ≤16GB
1.2.3 32-80GB
1.2.4 Above 80GB
1.3 Market by Application
1.3.1 Global AI GPU Market Size by Application, 2019 VS 2023 VS 2030
1.3.2 Machine Learning
1.3.3 Language Models/NLP
1.3.4 Computer Vision
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global AI GPU Production
2.1 Global AI GPU Production Capacity (2019-2030)
2.2 Global AI GPU Production by Region: 2019 VS 2023 VS 2030, Based on Production Site
2.3 Global AI GPU Production by Region
2.3.1 Global AI GPU Historic Production by Region (2019-2024)
2.3.2 Global AI GPU Forecasted Production by Region (2025-2030)
2.3.3 Global AI GPU Production Market Share by Region (2019-2030)
2.4 North America
2.5 Europe
2.6 China
2.7 Japan
2.8 South Korea
3 Executive Summary
3.1 Global AI GPU Revenue Estimates and Forecasts 2019-2030
3.2 Global AI GPU Revenue by Region
3.2.1 Global AI GPU Revenue by Region: 2019 VS 2023 VS 2030
3.2.2 Global AI GPU Revenue by Region (2019-2024)
3.2.3 Global AI GPU Revenue by Region (2025-2030)
3.2.4 Global AI GPU Revenue Market Share by Region (2019-2030)
3.3 Global AI GPU Sales Estimates and Forecasts 2019-2030
3.4 Global AI GPU Sales by Region
3.4.1 Global AI GPU Sales by Region: 2019 VS 2023 VS 2030
3.4.2 Global AI GPU Sales by Region (2019-2024)
3.4.3 Global AI GPU Sales by Region (2025-2030)
3.4.4 Global AI GPU Sales Market Share by Region (2019-2030)
3.5 US & Canada
3.6 Europe
3.7 China
3.8 Asia (excluding China)
3.9 Middle East, Africa and Latin America
4 Competition by Manufacturers
4.1 Global AI GPU Sales by Manufacturers
4.1.1 Global AI GPU Sales by Manufacturers (2019-2024)
4.1.2 Global AI GPU Sales Market Share by Manufacturers (2019-2024)
4.1.3 Global Top 10 and Top 5 Largest Manufacturers of AI GPU in 2023
4.2 Global AI GPU Revenue by Manufacturers
4.2.1 Global AI GPU Revenue by Manufacturers (2019-2024)
4.2.2 Global AI GPU Revenue Market Share by Manufacturers (2019-2024)
4.2.3 Global Top 10 and Top 5 Companies by AI GPU Revenue in 2023
4.3 Global AI GPU Sales Price by Manufacturers (2019-2024)
4.4 Global Key Players of AI GPU, Industry Ranking, 2022 VS 2023
4.5 Analysis of Competitive Landscape
4.5.1 Manufacturers Market Concentration Ratio (CR5 and HHI)
4.5.2 Global AI GPU Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.6 Global Key Manufacturers of AI GPU, Manufacturing Base Distribution and Headquarters
4.7 Global Key Manufacturers of AI GPU, Product Offered and Application
4.8 Global Key Manufacturers of AI GPU, Date of Enter into This Industry
4.9 Mergers & Acquisitions, Expansion Plans
5 Market Size by Type
5.1 Global AI GPU Sales by Type
5.1.1 Global AI GPU Historical Sales by Type (2019-2024)
5.1.2 Global AI GPU Forecasted Sales by Type (2025-2030)
5.1.3 Global AI GPU Sales Market Share by Type (2019-2030)
5.2 Global AI GPU Revenue by Type
5.2.1 Global AI GPU Historical Revenue by Type (2019-2024)
5.2.2 Global AI GPU Forecasted Revenue by Type (2025-2030)
5.2.3 Global AI GPU Revenue Market Share by Type (2019-2030)
5.3 Global AI GPU Price by Type
5.3.1 Global AI GPU Price by Type (2019-2024)
5.3.2 Global AI GPU Price Forecast by Type (2025-2030)
6 Market Size by Application
6.1 Global AI GPU Sales by Application
6.1.1 Global AI GPU Historical Sales by Application (2019-2024)
6.1.2 Global AI GPU Forecasted Sales by Application (2025-2030)
6.1.3 Global AI GPU Sales Market Share by Application (2019-2030)
6.2 Global AI GPU Revenue by Application
6.2.1 Global AI GPU Historical Revenue by Application (2019-2024)
6.2.2 Global AI GPU Forecasted Revenue by Application (2025-2030)
6.2.3 Global AI GPU Revenue Market Share by Application (2019-2030)
6.3 Global AI GPU Price by Application
6.3.1 Global AI GPU Price by Application (2019-2024)
6.3.2 Global AI GPU Price Forecast by Application (2025-2030)
7 US & Canada
7.1 US & Canada AI GPU Market Size by Type
7.1.1 US & Canada AI GPU Sales by Type (2019-2030)
7.1.2 US & Canada AI GPU Revenue by Type (2019-2030)
7.2 US & Canada AI GPU Market Size by Application
7.2.1 US & Canada AI GPU Sales by Application (2019-2030)
7.2.2 US & Canada AI GPU Revenue by Application (2019-2030)
7.3 US & Canada AI GPU Market Size by Country
7.3.1 US & Canada AI GPU Revenue by Country: 2019 VS 2023 VS 2030
7.3.2 US & Canada AI GPU Revenue by Country (2019-2030)
7.3.3 US & Canada AI GPU Sales by Country (2019-2030)
7.3.4 US
7.3.5 Canada
8 Europe
8.1 Europe AI GPU Market Size by Type
8.1.1 Europe AI GPU Sales by Type (2019-2030)
8.1.2 Europe AI GPU Revenue by Type (2019-2030)
8.2 Europe AI GPU Market Size by Application
8.2.1 Europe AI GPU Sales by Application (2019-2030)
8.2.2 Europe AI GPU Revenue by Application (2019-2030)
8.3 Europe AI GPU Market Size by Country
8.3.1 Europe AI GPU Revenue by Country: 2019 VS 2023 VS 2030
8.3.2 Europe AI GPU Sales by Country (2019-2030)
8.3.3 Europe AI GPU Revenue by Country (2019-2030)
8.3.4 Germany
8.3.5 France
8.3.6 U.K.
8.3.7 Italy
8.3.8 Netherlands
9 China
9.1 China AI GPU Market Size by Type
9.1.1 China AI GPU Sales by Type (2019-2030)
9.1.2 China AI GPU Revenue by Type (2019-2030)
9.2 China AI GPU Market Size by Application
9.2.1 China AI GPU Sales by Application (2019-2030)
9.2.2 China AI GPU Revenue by Application (2019-2030)
10 Asia (excluding China)
10.1 Asia AI GPU Market Size by Type
10.1.1 Asia AI GPU Sales by Type (2019-2030)
10.1.2 Asia AI GPU Revenue by Type (2019-2030)
10.2 Asia AI GPU Market Size by Application
10.2.1 Asia AI GPU Sales by Application (2019-2030)
10.2.2 Asia AI GPU Revenue by Application (2019-2030)
10.3 Asia AI GPU Market Size by Region
10.3.1 Asia AI GPU Revenue by Region: 2019 VS 2023 VS 2030
10.3.2 Asia AI GPU Revenue by Region (2019-2030)
10.3.3 Asia AI GPU Sales by Region (2019-2030)
10.3.4 Japan
10.3.5 South Korea
10.3.6 China Taiwan
10.3.7 Southeast Asia
11 Middle East, Africa and Latin America
11.1 Middle East, Africa and Latin America AI GPU Market Size by Type
11.1.1 Middle East, Africa and Latin America AI GPU Sales by Type (2019-2030)
11.1.2 Middle East, Africa and Latin America AI GPU Revenue by Type (2019-2030)
11.2 Middle East, Africa and Latin America AI GPU Market Size by Application
11.2.1 Middle East, Africa and Latin America AI GPU Sales by Application (2019-2030)
11.2.2 Middle East, Africa and Latin America AI GPU Revenue by Application (2019-2030)
11.3 Middle East, Africa and Latin America AI GPU Market Size by Country
11.3.1 Middle East, Africa and Latin America AI GPU Revenue by Country: 2019 VS 2023 VS 2030
11.3.2 Middle East, Africa and Latin America AI GPU Revenue by Country (2019-2030)
11.3.3 Middle East, Africa and Latin America AI GPU Sales by Country (2019-2030)
11.3.4 Brazil
11.3.5 Mexico
11.3.6 Israel
12 Corporate Profile
12.1 NVIDIA
12.1.1 NVIDIA Corporation Information
12.1.2 NVIDIA Overview
12.1.3 NVIDIA AI GPU Sales, Price, Revenue and Gross Margin (2019-2024)
12.1.4 NVIDIA AI GPU Product Model Numbers, Pictures, Descriptions and Specifications
12.1.5 NVIDIA Recent Developments
12.2 AMD
12.2.1 AMD Corporation Information
12.2.2 AMD Overview
12.2.3 AMD AI GPU Sales, Price, Revenue and Gross Margin (2019-2024)
12.2.4 AMD AI GPU Product Model Numbers, Pictures, Descriptions and Specifications
12.2.5 AMD Recent Developments
12.3 Intel
12.3.1 Intel Corporation Information
12.3.2 Intel Overview
12.3.3 Intel AI GPU Sales, Price, Revenue and Gross Margin (2019-2024)
12.3.4 Intel AI GPU Product Model Numbers, Pictures, Descriptions and Specifications
12.3.5 Intel Recent Developments
12.4 Shanghai Denglin
12.4.1 Shanghai Denglin Corporation Information
12.4.2 Shanghai Denglin Overview
12.4.3 Shanghai Denglin AI GPU Sales, Price, Revenue and Gross Margin (2019-2024)
12.4.4 Shanghai Denglin AI GPU Product Model Numbers, Pictures, Descriptions and Specifications
12.4.5 Shanghai Denglin Recent Developments
12.5 Vastai Technologies
12.5.1 Vastai Technologies Corporation Information
12.5.2 Vastai Technologies Overview
12.5.3 Vastai Technologies AI GPU Sales, Price, Revenue and Gross Margin (2019-2024)
12.5.4 Vastai Technologies AI GPU Product Model Numbers, Pictures, Descriptions and Specifications
12.5.5 Vastai Technologies Recent Developments
12.6 Shanghai Iluvatar
12.6.1 Shanghai Iluvatar Corporation Information
12.6.2 Shanghai Iluvatar Overview
12.6.3 Shanghai Iluvatar AI GPU Sales, Price, Revenue and Gross Margin (2019-2024)
12.6.4 Shanghai Iluvatar AI GPU Product Model Numbers, Pictures, Descriptions and Specifications
12.6.5 Shanghai Iluvatar Recent Developments
12.7 Metax Tech
12.7.1 Metax Tech Corporation Information
12.7.2 Metax Tech Overview
12.7.3 Metax Tech AI GPU Sales, Price, Revenue and Gross Margin (2019-2024)
12.7.4 Metax Tech AI GPU Product Model Numbers, Pictures, Descriptions and Specifications
12.7.5 Metax Tech Recent Developments
13 Industry Chain and Sales Channels Analysis
13.1 AI GPU Industry Chain Analysis
13.2 AI GPU Key Raw Materials
13.2.1 Key Raw Materials
13.2.2 Raw Materials Key Suppliers
13.3 AI GPU Production Mode & Process
13.4 AI GPU Sales and Marketing
13.4.1 AI GPU Sales Channels
13.4.2 AI GPU Distributors
13.5 AI GPU Customers
14 AI GPU Market Dynamics
14.1 AI GPU Industry Trends
14.2 AI GPU Market Drivers
14.3 AI GPU Market Challenges
14.4 AI GPU Market Restraints
15 Key Findings in the Global AI GPU Study
16 Appendix
16.1 Research Methodology
16.1.1 Methodology/Research Approach
16.1.1.1 Research Programs/Design
16.1.1.2 Market Size Estimation
16.1.1.3 Market Breakdown and Data Triangulation
16.1.2 Data Source
16.1.2.1 Secondary Sources
16.1.2.2 Primary Sources
16.2 Author Details
16.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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