Global AI GPU 麻豆原创 Growth 2024-2030

Publication ID:

LPI05241094

Publication Date:

May 1, 2024

Pages:

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

Semiconductors [2]

Manufacturing (Computing & Electronics) [3]

Computing & Electronics [4]

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 AI GPU market size is projected to grow from US$ 73340 million in 2024 to US$ 384730 million in 2030; it is expected to grow at a CAGR of 31.8% from 2024 to 2030.
The 鈥淎I GPU Industry Forecast鈥� looks at past sales and reviews total world AI GPU sales in 2023, providing a comprehensive analysis by region and market sector of projected AI GPU sales for 2024 through 2030. With AI GPU sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI GPU industry.
This Insight Report provides a comprehensive analysis of the global AI GPU landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI GPU portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global AI GPU market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI GPU and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI GPU.
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 presents a comprehensive overview, market shares, and growth opportunities of AI GPU market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
鈮�16骋叠
32-80GB
Above 80GB
Segmentation by Application:
Machine Learning
Language Models/NLP
Computer Vision
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
NVIDIA
AMD
Intel
Shanghai Denglin
Vastai Technologies
Shanghai Iluvatar
Metax Tech
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI GPU market?
What factors are driving AI GPU market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI GPU market opportunities vary by end market size?
How does AI GPU break out by Type, by Application?

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global AI GPU Annual Sales 2019-2030
2.1.2 World Current & Future Analysis for AI GPU by Geographic Region, 2019, 2023 & 2030
2.1.3 World Current & Future Analysis for AI GPU by Country/Region, 2019, 2023 & 2030
2.2 AI GPU Segment by Type
2.2.1 鈮�16骋叠
2.2.2 32-80GB
2.2.3 Above 80GB
2.3 AI GPU Sales by Type
2.3.1 Global AI GPU Sales 麻豆原创 Share by Type (2019-2024)
2.3.2 Global AI GPU Revenue and 麻豆原创 Share by Type (2019-2024)
2.3.3 Global AI GPU Sale Price by Type (2019-2024)
2.4 AI GPU Segment by Application
2.4.1 Machine Learning
2.4.2 Language Models/NLP
2.4.3 Computer Vision
2.4.4 Others
2.5 AI GPU Sales by Application
2.5.1 Global AI GPU Sale 麻豆原创 Share by Application (2019-2024)
2.5.2 Global AI GPU Revenue and 麻豆原创 Share by Application (2019-2024)
2.5.3 Global AI GPU Sale Price by Application (2019-2024)
3 Global by Company
3.1 Global AI GPU Breakdown Data by Company
3.1.1 Global AI GPU Annual Sales by Company (2019-2024)
3.1.2 Global AI GPU Sales 麻豆原创 Share by Company (2019-2024)
3.2 Global AI GPU Annual Revenue by Company (2019-2024)
3.2.1 Global AI GPU Revenue by Company (2019-2024)
3.2.2 Global AI GPU Revenue 麻豆原创 Share by Company (2019-2024)
3.3 Global AI GPU Sale Price by Company
3.4 Key Manufacturers AI GPU Producing Area Distribution, Sales Area, Product Type
3.4.1 Key Manufacturers AI GPU Product Location Distribution
3.4.2 Players AI GPU Products Offered
3.5 麻豆原创 Concentration Rate Analysis
3.5.1 Competition Landscape Analysis
3.5.2 Concentration Ratio (CR3, CR5 and CR10) & (2019-2024)
3.6 New Products and Potential Entrants
3.7 麻豆原创 M&A Activity & Strategy
4 World Historic Review for AI GPU by Geographic Region
4.1 World Historic AI GPU 麻豆原创 Size by Geographic Region (2019-2024)
4.1.1 Global AI GPU Annual Sales by Geographic Region (2019-2024)
4.1.2 Global AI GPU Annual Revenue by Geographic Region (2019-2024)
4.2 World Historic AI GPU 麻豆原创 Size by Country/Region (2019-2024)
4.2.1 Global AI GPU Annual Sales by Country/Region (2019-2024)
4.2.2 Global AI GPU Annual Revenue by Country/Region (2019-2024)
4.3 Americas AI GPU Sales Growth
4.4 APAC AI GPU Sales Growth
4.5 Europe AI GPU Sales Growth
4.6 Middle East & Africa AI GPU Sales Growth
5 Americas
5.1 Americas AI GPU Sales by Country
5.1.1 Americas AI GPU Sales by Country (2019-2024)
5.1.2 Americas AI GPU Revenue by Country (2019-2024)
5.2 Americas AI GPU Sales by Type (2019-2024)
5.3 Americas AI GPU Sales by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC AI GPU Sales by Region
6.1.1 APAC AI GPU Sales by Region (2019-2024)
6.1.2 APAC AI GPU Revenue by Region (2019-2024)
6.2 APAC AI GPU Sales by Type (2019-2024)
6.3 APAC AI GPU Sales by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 China Taiwan
7 Europe
7.1 Europe AI GPU by Country
7.1.1 Europe AI GPU Sales by Country (2019-2024)
7.1.2 Europe AI GPU Revenue by Country (2019-2024)
7.2 Europe AI GPU Sales by Type (2019-2024)
7.3 Europe AI GPU Sales by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa AI GPU by Country
8.1.1 Middle East & Africa AI GPU Sales by Country (2019-2024)
8.1.2 Middle East & Africa AI GPU Revenue by Country (2019-2024)
8.2 Middle East & Africa AI GPU Sales by Type (2019-2024)
8.3 Middle East & Africa AI GPU Sales by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Manufacturing Cost Structure Analysis
10.1 Raw Material and Suppliers
10.2 Manufacturing Cost Structure Analysis of AI GPU
10.3 Manufacturing Process Analysis of AI GPU
10.4 Industry Chain Structure of AI GPU
11 麻豆原创ing, Distributors and Customer
11.1 Sales Channel
11.1.1 Direct Channels
11.1.2 Indirect Channels
11.2 AI GPU Distributors
11.3 AI GPU Customer
12 World Forecast Review for AI GPU by Geographic Region
12.1 Global AI GPU 麻豆原创 Size Forecast by Region
12.1.1 Global AI GPU Forecast by Region (2025-2030)
12.1.2 Global AI GPU Annual Revenue Forecast by Region (2025-2030)
12.2 Americas Forecast by Country (2025-2030)
12.3 APAC Forecast by Region (2025-2030)
12.4 Europe Forecast by Country (2025-2030)
12.5 Middle East & Africa Forecast by Country (2025-2030)
12.6 Global AI GPU Forecast by Type (2025-2030)
12.7 Global AI GPU Forecast by Application (2025-2030)
13 Key Players Analysis
13.1 NVIDIA
13.1.1 NVIDIA Company Information
13.1.2 NVIDIA AI GPU Product Portfolios and Specifications
13.1.3 NVIDIA AI GPU Sales, Revenue, Price and Gross Margin (2019-2024)
13.1.4 NVIDIA Main Business Overview
13.1.5 NVIDIA Latest Developments
13.2 AMD
13.2.1 AMD Company Information
13.2.2 AMD AI GPU Product Portfolios and Specifications
13.2.3 AMD AI GPU Sales, Revenue, Price and Gross Margin (2019-2024)
13.2.4 AMD Main Business Overview
13.2.5 AMD Latest Developments
13.3 Intel
13.3.1 Intel Company Information
13.3.2 Intel AI GPU Product Portfolios and Specifications
13.3.3 Intel AI GPU Sales, Revenue, Price and Gross Margin (2019-2024)
13.3.4 Intel Main Business Overview
13.3.5 Intel Latest Developments
13.4 Shanghai Denglin
13.4.1 Shanghai Denglin Company Information
13.4.2 Shanghai Denglin AI GPU Product Portfolios and Specifications
13.4.3 Shanghai Denglin AI GPU Sales, Revenue, Price and Gross Margin (2019-2024)
13.4.4 Shanghai Denglin Main Business Overview
13.4.5 Shanghai Denglin Latest Developments
13.5 Vastai Technologies
13.5.1 Vastai Technologies Company Information
13.5.2 Vastai Technologies AI GPU Product Portfolios and Specifications
13.5.3 Vastai Technologies AI GPU Sales, Revenue, Price and Gross Margin (2019-2024)
13.5.4 Vastai Technologies Main Business Overview
13.5.5 Vastai Technologies Latest Developments
13.6 Shanghai Iluvatar
13.6.1 Shanghai Iluvatar Company Information
13.6.2 Shanghai Iluvatar AI GPU Product Portfolios and Specifications
13.6.3 Shanghai Iluvatar AI GPU Sales, Revenue, Price and Gross Margin (2019-2024)
13.6.4 Shanghai Iluvatar Main Business Overview
13.6.5 Shanghai Iluvatar Latest Developments
13.7 Metax Tech
13.7.1 Metax Tech Company Information
13.7.2 Metax Tech AI GPU Product Portfolios and Specifications
13.7.3 Metax Tech AI GPU Sales, Revenue, Price and Gross Margin (2019-2024)
13.7.4 Metax Tech Main Business Overview
13.7.5 Metax Tech Latest Developments
14 Research Findings and Conclusion

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