AI infrastructure encompasses almost every stage of the machine learning workflow. It enables data scientist, data engineers, software engineers and DevOps teams to access and manage the computing resources to test, train and deploy AI algorithms.
Highlights
The global AI Infrastructure Solutions market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for AI Infrastructure Solutions is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for AI Infrastructure Solutions is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for AI Infrastructure Solutions in Enterprises is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of AI Infrastructure Solutions include IBM, Nutanix, Intel, Google Cloud, Fujitsu Global, HPE, Lenovo, Intequus and Dell, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI Infrastructure Solutions, 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 Solutions.
The AI Infrastructure Solutions market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI Infrastructure Solutions 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 Solutions 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.
By Company
IBM
Nutanix
Intel
Google Cloud
Fujitsu Global
HPE
Lenovo
Intequus
Dell
Cisco
Wipro
Segment by Type
Machine Learning
Deep Learning
Segment by Application
Enterprises
Government Organizations
Cloud Service Providers
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 Solutions companies’ 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Infrastructure Solutions Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Machine Learning
1.2.3 Deep Learning
1.3 Market by Application
1.3.1 Global AI Infrastructure Solutions Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Enterprises
1.3.3 Government Organizations
1.3.4 Cloud Service Providers
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Infrastructure Solutions Market Perspective (2018-2029)
2.2 AI Infrastructure Solutions Growth Trends by Region
2.2.1 Global AI Infrastructure Solutions Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI Infrastructure Solutions Historic Market Size by Region (2018-2023)
2.2.3 AI Infrastructure Solutions Forecasted Market Size by Region (2024-2029)
2.3 AI Infrastructure Solutions Market Dynamics
2.3.1 AI Infrastructure Solutions Industry Trends
2.3.2 AI Infrastructure Solutions Market Drivers
2.3.3 AI Infrastructure Solutions Market Challenges
2.3.4 AI Infrastructure Solutions Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Infrastructure Solutions Players by Revenue
3.1.1 Global Top AI Infrastructure Solutions Players by Revenue (2018-2023)
3.1.2 Global AI Infrastructure Solutions Revenue Market Share by Players (2018-2023)
3.2 Global AI Infrastructure Solutions Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Infrastructure Solutions Revenue
3.4 Global AI Infrastructure Solutions Market Concentration Ratio
3.4.1 Global AI Infrastructure Solutions Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Infrastructure Solutions Revenue in 2022
3.5 AI Infrastructure Solutions Key Players Head office and Area Served
3.6 Key Players AI Infrastructure Solutions Product Solution and Service
3.7 Date of Enter into AI Infrastructure Solutions Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Infrastructure Solutions Breakdown Data by Type
4.1 Global AI Infrastructure Solutions Historic Market Size by Type (2018-2023)
4.2 Global AI Infrastructure Solutions Forecasted Market Size by Type (2024-2029)
5 AI Infrastructure Solutions Breakdown Data by Application
5.1 Global AI Infrastructure Solutions Historic Market Size by Application (2018-2023)
5.2 Global AI Infrastructure Solutions Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI Infrastructure Solutions Market Size (2018-2029)
6.2 North America AI Infrastructure Solutions Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI Infrastructure Solutions Market Size by Country (2018-2023)
6.4 North America AI Infrastructure Solutions Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Infrastructure Solutions Market Size (2018-2029)
7.2 Europe AI Infrastructure Solutions Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI Infrastructure Solutions Market Size by Country (2018-2023)
7.4 Europe AI Infrastructure Solutions Market Size by Country (2024-2029)
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 Solutions Market Size (2018-2029)
8.2 Asia-Pacific AI Infrastructure Solutions Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI Infrastructure Solutions Market Size by Region (2018-2023)
8.4 Asia-Pacific AI Infrastructure Solutions Market Size by Region (2024-2029)
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 Solutions Market Size (2018-2029)
9.2 Latin America AI Infrastructure Solutions Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI Infrastructure Solutions Market Size by Country (2018-2023)
9.4 Latin America AI Infrastructure Solutions Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Infrastructure Solutions Market Size (2018-2029)
10.2 Middle East & Africa AI Infrastructure Solutions Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI Infrastructure Solutions Market Size by Country (2018-2023)
10.4 Middle East & Africa AI Infrastructure Solutions Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM AI Infrastructure Solutions Introduction
11.1.4 IBM Revenue in AI Infrastructure Solutions Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Nutanix
11.2.1 Nutanix Company Detail
11.2.2 Nutanix Business Overview
11.2.3 Nutanix AI Infrastructure Solutions Introduction
11.2.4 Nutanix Revenue in AI Infrastructure Solutions Business (2018-2023)
11.2.5 Nutanix Recent Development
11.3 Intel
11.3.1 Intel Company Detail
11.3.2 Intel Business Overview
11.3.3 Intel AI Infrastructure Solutions Introduction
11.3.4 Intel Revenue in AI Infrastructure Solutions Business (2018-2023)
11.3.5 Intel Recent Development
11.4 Google Cloud
11.4.1 Google Cloud Company Detail
11.4.2 Google Cloud Business Overview
11.4.3 Google Cloud AI Infrastructure Solutions Introduction
11.4.4 Google Cloud Revenue in AI Infrastructure Solutions Business (2018-2023)
11.4.5 Google Cloud Recent Development
11.5 Fujitsu Global
11.5.1 Fujitsu Global Company Detail
11.5.2 Fujitsu Global Business Overview
11.5.3 Fujitsu Global AI Infrastructure Solutions Introduction
11.5.4 Fujitsu Global Revenue in AI Infrastructure Solutions Business (2018-2023)
11.5.5 Fujitsu Global Recent Development
11.6 HPE
11.6.1 HPE Company Detail
11.6.2 HPE Business Overview
11.6.3 HPE AI Infrastructure Solutions Introduction
11.6.4 HPE Revenue in AI Infrastructure Solutions Business (2018-2023)
11.6.5 HPE Recent Development
11.7 Lenovo
11.7.1 Lenovo Company Detail
11.7.2 Lenovo Business Overview
11.7.3 Lenovo AI Infrastructure Solutions Introduction
11.7.4 Lenovo Revenue in AI Infrastructure Solutions Business (2018-2023)
11.7.5 Lenovo Recent Development
11.8 Intequus
11.8.1 Intequus Company Detail
11.8.2 Intequus Business Overview
11.8.3 Intequus AI Infrastructure Solutions Introduction
11.8.4 Intequus Revenue in AI Infrastructure Solutions Business (2018-2023)
11.8.5 Intequus Recent Development
11.9 Dell
11.9.1 Dell Company Detail
11.9.2 Dell Business Overview
11.9.3 Dell AI Infrastructure Solutions Introduction
11.9.4 Dell Revenue in AI Infrastructure Solutions Business (2018-2023)
11.9.5 Dell Recent Development
11.10 Cisco
11.10.1 Cisco Company Detail
11.10.2 Cisco Business Overview
11.10.3 Cisco AI Infrastructure Solutions Introduction
11.10.4 Cisco Revenue in AI Infrastructure Solutions Business (2018-2023)
11.10.5 Cisco Recent Development
11.11 Wipro
11.11.1 Wipro Company Detail
11.11.2 Wipro Business Overview
11.11.3 Wipro AI Infrastructure Solutions Introduction
11.11.4 Wipro Revenue in AI Infrastructure Solutions Business (2018-2023)
11.11.5 Wipro Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
IBM
Nutanix
Intel
Google Cloud
Fujitsu Global
HPE
Lenovo
Intequus
Dell
Cisco
Wipro
*If Applicable.