Global AI GPU Competitive Landscape Professional Research Report 2024

Global AI GPU Competitive Landscape Professional Research Report 2024

Research Summary

An AI GPU, or Artificial Intelligence Graphics Processing Unit, is a specialized type of graphics processing unit (GPU) optimized for running artificial intelligence (AI) and machine learning (ML) algorithms. These GPUs are designed to handle the parallel processing demands of AI workloads, which often involve complex mathematical calculations and massive datasets. Unlike traditional GPUs primarily used for graphics rendering, AI GPUs feature architectures with a high number of cores and specialized processing units, such as tensor cores, specifically designed for matrix multiplication and deep learning tasks. Popular AI GPU architectures include NVIDIA＇s Tensor Core GPUs, such as those found in the NVIDIA Tesla and NVIDIA GeForce RTX series, as well as AMD＇s Radeon Instinct GPUs. AI GPUs are widely used in AI research, deep learning training, and inference tasks, powering applications ranging from image and speech recognition to autonomous vehicles and natural language processing. They offer significant performance improvements and efficiency gains over traditional CPUs for AI workloads, making them essential components in modern AI systems.

According to DIResearch's in-depth investigation and research, the global AI GPU market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.

The major global manufacturers of AI GPU include NVIDIA, AMD etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.

This report studies the market size, price trends and future development prospects of AI GPU. Focus on analysing the market share, product portfolio, prices, sales volume, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global AI GPU market. The report data covers historical data from 2019 to 2023, based year in 2024 and forecast data from 2025 to 2030.

The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the AI GPU market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of AI GPU industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of AI GPU Include:

NVIDIA

AMD

AI GPU Product Segment Include:

16/32G

80G

Others

AI GPU Product Application Include:

Cloud Computing

Edge Computing

Data Center

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global AI GPU Industry PESTEL Analysis

Chapter 3: Global AI GPU Industry Porter’s Five Forces Analysis

Chapter 4: Global AI GPU Major Regional Market Size (Revenue, Sales, Price) and Forecast Analysis

Chapter 5: Global AI GPU Market Size and Forecast by Type and Application Analysis

Chapter 6: North America AI GPU Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe AI GPU Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China AI GPU Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) AI GPU Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America AI GPU Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa AI GPU Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global AI GPU Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)

Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers

Chapter 15: Research Findings and Conclusion

Chapter 16: Methodology and Data Sources