Global AI Infrastructure 麻豆原创 Research Report 2024

Publication ID:

PB511240120

Publication Date:

November 28, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Infrastructure was valued at US$ 164600 million in the year 2023 and is projected to reach a revised size of US$ 1541810 million by 2030, growing at a CAGR of 35.0% during the forecast period.
AI Infrastructure refers to the foundational technology stack and resources required to develop, deploy, and manage artificial intelligence (AI) applications and systems. This infrastructure encompasses hardware, software, platforms, and tools that enable organizations to effectively run AI workloads. As AI continues to evolve and integrate into various industries, robust AI infrastructure becomes critical for tackling the complexities associated with AI development and operations.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. Organizations across various sectors (healthcare, finance, retail, manufacturing, etc.) are increasingly adopting AI technologies to enhance efficiency, reduce costs, and improve decision-making. This demand drives the need for robust AI infrastructure to support these initiatives.
This report aims to provide a comprehensive presentation of the global market for AI Infrastructure, 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 Infrastructure.
The AI Infrastructure market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Infrastructure market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Infrastructure companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Google
Nvidia
Microsoft
Amazon
IBM
Oracle
Cisco
Dell
Baidu
HPE
Alibaba
Samsung
Huawei
SK Hynix
Intel
AMD
ARM
Segment by Type
Hardware
Service
Software
Segment by Application
Internet
BFSI
Automotive
Medical and Healthcare
Telecommunication
Retail
Industrial
IT Service
Government
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Infrastructure company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI Infrastructure 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Service
1.2.4 Software
1.3 麻豆原创 by Application
1.3.1 Global AI Infrastructure 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Internet
1.3.3 BFSI
1.3.4 Automotive
1.3.5 Medical and Healthcare
1.3.6 Telecommunication
1.3.7 Retail
1.3.8 Industrial
1.3.9 IT Service
1.3.10 Government
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Infrastructure 麻豆原创 Perspective (2019-2030)
2.2 Global AI Infrastructure Growth Trends by Region
2.2.1 Global AI Infrastructure 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Infrastructure Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 AI Infrastructure Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 AI Infrastructure 麻豆原创 Dynamics
2.3.1 AI Infrastructure Industry Trends
2.3.2 AI Infrastructure 麻豆原创 Drivers
2.3.3 AI Infrastructure 麻豆原创 Challenges
2.3.4 AI Infrastructure 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Infrastructure Players by Revenue
3.1.1 Global Top AI Infrastructure Players by Revenue (2019-2024)
3.1.2 Global AI Infrastructure Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global AI Infrastructure 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Infrastructure Revenue
3.4 Global AI Infrastructure 麻豆原创 Concentration Ratio
3.4.1 Global AI Infrastructure 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Infrastructure Revenue in 2023
3.5 Global Key Players of AI Infrastructure Head office and Area Served
3.6 Global Key Players of AI Infrastructure, Product and Application
3.7 Global Key Players of AI Infrastructure, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Infrastructure Breakdown Data by Type
4.1 Global AI Infrastructure Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global AI Infrastructure Forecasted 麻豆原创 Size by Type (2025-2030)
5 AI Infrastructure Breakdown Data by Application
5.1 Global AI Infrastructure Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global AI Infrastructure Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America AI Infrastructure 麻豆原创 Size (2019-2030)
6.2 North America AI Infrastructure 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Infrastructure 麻豆原创 Size by Country (2019-2024)
6.4 North America AI Infrastructure 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Infrastructure 麻豆原创 Size (2019-2030)
7.2 Europe AI Infrastructure 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Infrastructure 麻豆原创 Size by Country (2019-2024)
7.4 Europe AI Infrastructure 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Infrastructure 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific AI Infrastructure 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Infrastructure 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific AI Infrastructure 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Infrastructure 麻豆原创 Size (2019-2030)
9.2 Latin America AI Infrastructure 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Infrastructure 麻豆原创 Size by Country (2019-2024)
9.4 Latin America AI Infrastructure 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Infrastructure 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa AI Infrastructure 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Infrastructure 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa AI Infrastructure 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Details
11.1.2 Google Business Overview
11.1.3 Google AI Infrastructure Introduction
11.1.4 Google Revenue in AI Infrastructure Business (2019-2024)
11.1.5 Google Recent Development
11.2 Nvidia
11.2.1 Nvidia Company Details
11.2.2 Nvidia Business Overview
11.2.3 Nvidia AI Infrastructure Introduction
11.2.4 Nvidia Revenue in AI Infrastructure Business (2019-2024)
11.2.5 Nvidia Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Business Overview
11.3.3 Microsoft AI Infrastructure Introduction
11.3.4 Microsoft Revenue in AI Infrastructure Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 Amazon
11.4.1 Amazon Company Details
11.4.2 Amazon Business Overview
11.4.3 Amazon AI Infrastructure Introduction
11.4.4 Amazon Revenue in AI Infrastructure Business (2019-2024)
11.4.5 Amazon Recent Development
11.5 IBM
11.5.1 IBM Company Details
11.5.2 IBM Business Overview
11.5.3 IBM AI Infrastructure Introduction
11.5.4 IBM Revenue in AI Infrastructure Business (2019-2024)
11.5.5 IBM Recent Development
11.6 Oracle
11.6.1 Oracle Company Details
11.6.2 Oracle Business Overview
11.6.3 Oracle AI Infrastructure Introduction
11.6.4 Oracle Revenue in AI Infrastructure Business (2019-2024)
11.6.5 Oracle Recent Development
11.7 Cisco
11.7.1 Cisco Company Details
11.7.2 Cisco Business Overview
11.7.3 Cisco AI Infrastructure Introduction
11.7.4 Cisco Revenue in AI Infrastructure Business (2019-2024)
11.7.5 Cisco Recent Development
11.8 Dell
11.8.1 Dell Company Details
11.8.2 Dell Business Overview
11.8.3 Dell AI Infrastructure Introduction
11.8.4 Dell Revenue in AI Infrastructure Business (2019-2024)
11.8.5 Dell Recent Development
11.9 Baidu
11.9.1 Baidu Company Details
11.9.2 Baidu Business Overview
11.9.3 Baidu AI Infrastructure Introduction
11.9.4 Baidu Revenue in AI Infrastructure Business (2019-2024)
11.9.5 Baidu Recent Development
11.10 HPE
11.10.1 HPE Company Details
11.10.2 HPE Business Overview
11.10.3 HPE AI Infrastructure Introduction
11.10.4 HPE Revenue in AI Infrastructure Business (2019-2024)
11.10.5 HPE Recent Development
11.11 Alibaba
11.11.1 Alibaba Company Details
11.11.2 Alibaba Business Overview
11.11.3 Alibaba AI Infrastructure Introduction
11.11.4 Alibaba Revenue in AI Infrastructure Business (2019-2024)
11.11.5 Alibaba Recent Development
11.12 Samsung
11.12.1 Samsung Company Details
11.12.2 Samsung Business Overview
11.12.3 Samsung AI Infrastructure Introduction
11.12.4 Samsung Revenue in AI Infrastructure Business (2019-2024)
11.12.5 Samsung Recent Development
11.13 Huawei
11.13.1 Huawei Company Details
11.13.2 Huawei Business Overview
11.13.3 Huawei AI Infrastructure Introduction
11.13.4 Huawei Revenue in AI Infrastructure Business (2019-2024)
11.13.5 Huawei Recent Development
11.14 SK Hynix
11.14.1 SK Hynix Company Details
11.14.2 SK Hynix Business Overview
11.14.3 SK Hynix AI Infrastructure Introduction
11.14.4 SK Hynix Revenue in AI Infrastructure Business (2019-2024)
11.14.5 SK Hynix Recent Development
11.15 Intel
11.15.1 Intel Company Details
11.15.2 Intel Business Overview
11.15.3 Intel AI Infrastructure Introduction
11.15.4 Intel Revenue in AI Infrastructure Business (2019-2024)
11.15.5 Intel Recent Development
11.16 AMD
11.16.1 AMD Company Details
11.16.2 AMD Business Overview
11.16.3 AMD AI Infrastructure Introduction
11.16.4 AMD Revenue in AI Infrastructure Business (2019-2024)
11.16.5 AMD Recent Development
11.17 ARM
11.17.1 ARM Company Details
11.17.2 ARM Business Overview
11.17.3 ARM AI Infrastructure Introduction
11.17.4 ARM Revenue in AI Infrastructure Business (2019-2024)
11.17.5 ARM Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Google
Nvidia
Microsoft
Amazon
IBM
Oracle
Cisco
Dell
Baidu
HPE
Alibaba
Samsung
Huawei
SK Hynix
Intel
AMD
ARM

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