Global AI Servers Competitive Landscape Professional Research Report 2024

Global AI Servers Competitive Landscape Professional Research Report 2024

Research Summary

AI servers are specialized computer systems designed to handle the intensive computational demands of artificial intelligence workloads. Equipped with high-performance CPUs, GPUs, and sometimes TPUs, these servers are optimized for parallel processing tasks such as training complex machine learning models, running deep learning algorithms, and performing large-scale data analysis. Key features include high-speed networking, massive storage capacities, and energy-efficient designs to manage substantial datasets and operational costs effectively. AI servers are essential in various industries, including healthcare, finance, and automotive, enabling the development, testing, and deployment of sophisticated AI applications.

According to DIResearch's in-depth investigation and research, the global AI Servers 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 Servers include Inspur, Dell, HPE, Lenovo, Huawei, IBM, Nvidia, H3C, Cisco, Oracle, Fujitsu, Tencent, ADLINK, Lambda, GIGABYTE, Nettrix, Enginetech, PowerLeader, Sugon, Talkweb 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 Servers. 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 Servers 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 Servers 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 Servers 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 Servers Include:

Inspur

Dell

HPE

Lenovo

Huawei

IBM

Nvidia

H3C

Cisco

Oracle

Fujitsu

Tencent

ADLINK

Lambda

GIGABYTE

Nettrix

Enginetech

PowerLeader

Sugon

Talkweb

AI Servers Product Segment Include:

CPU+GPU

CPU+FPGA

CPU+ASIC

CPU+TPU

Other

AI Servers Product Application Include:

Big Data

Cloud Computing

AI

IT and Communication

Other

Chapter Scope

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

Chapter 2: Global AI Servers Industry PESTEL Analysis

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

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

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

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

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

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

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

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

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

Chapter 12: Global AI Servers 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