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Global AI Infrastructure Market (2022-2027) by Offering Type, Deployment Type, Technology, End-User, Geography, Competitive Analysis, and the Impact of Covid-19 with Ansoff Analysis

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  • 174 Pages
  • May 2022
  • Region: Global
  • Infogence Global Research
  • ID: 5601382


  • Advanced Micro Devices
  • Cadence Design Systems
  • Google
  • IBM
  • Microsoft
  • Samsung Electronics
The Global AI Infrastructure Market is estimated to be USD 24.32 Bn in 2022 and is projected to reach USD 64.21 Bn by 2027, growing at a CAGR of 21.43%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global AI Infrastructure Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

The Global AI Infrastructure Market is segmented based on Offering Type, Deployment Type, Technology, End-User and Geography.
  • By Offering Type, the market is classified into Hardware and Software.
  • By Deployment Type, the market is classified into On-Premises, Cloud, and Hybrid.
  • By Technology, the market is classified into Machine Learning and Deep Learning.
  • By End-User, the market is classified into Enterprises, Government Organizations, and Cloud Service Providers.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Advanced Micro Devices, Amazon Web Services, ARM, Cadence Design Systems, Cisco Systems, Dell, Google, Graphcore, Gyrfalcon Technology, Hewlett Packard Enterprise, IBM, Intel, Micron Technology, Microsoft, MIPS Technologies, Nvidia, Samsung Electronics, SK Hynix, Synopsys, Xilinx, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global AI Infrastructure Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The report analyses the Global AI Infrastructure Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global AI Infrastructure Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the analyst's Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including the parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market


  • Advanced Micro Devices
  • Cadence Design Systems
  • Google
  • IBM
  • Microsoft
  • Samsung Electronics

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Increased Data Traffic and Need for High Computing Power
4.1.2 Increasing Adoption of Cloud Machine Learning Platform
4.1.3 Increasingly Large and Complex Dataset
4.1.4 Rising Focus On Parallel Computing in AI Data centres
4.2 Restraints
4.2.1 Lack of AI Hardware Professionals and Skilled Workforce
4.3 Opportunities
4.3.1 Surging Demand for FPGA (Field Programmable Gate Array) -Based Accelerators
4.3.2 Growing Potential of AI-Based Tools for Elderly Care
4.4 Challenges
4.4.1 Concerns Regarding Data Privacy in AI Platforms
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global AI Infrastructure Market, By Offering Type
6.1 Introduction
6.2 Hardware
6.2.1 Processor
6.2.2 Storage
6.2.3 Memory
6.3 Software
7 Global AI Infrastructure Market, By Deployment Type
7.1 Introduction
7.2 On-Premises
7.3 Cloud
7.4 Hybrid
8 Global AI Infrastructure Market, By Technology
8.1 Introduction
8.2 Machine Learning
8.3 Deep Learning
9 Global AI Infrastructure Market, By End-User
9.1 Introduction
9.2 Enterprises
9.3 Government Organizations
9.4 Cloud Service Providers
10 Americas’ AI Infrastructure Market
10.1 Introduction
10.2 Argentina
10.3 Brazil
10.4 Canada
10.5 Chile
10.6 Colombia
10.7 Mexico
10.8 Peru
10.9 United States
10.10 Rest of Americas
11 Europe’s AI Infrastructure Market
11.1 Introduction
11.2 Austria
11.3 Belgium
11.4 Denmark
11.5 Finland
11.6 France
11.7 Germany
11.8 Italy
11.9 Netherlands
11.10 Norway
11.11 Poland
11.12 Russia
11.13 Spain
11.14 Sweden
11.15 Switzerland
11.16 United Kingdom
11.17 Rest of Europe
12 Middle East and Africa’s AI Infrastructure Market
12.1 Introduction
12.2 Egypt
12.3 Israel
12.4 Qatar
12.5 Saudi Arabia
12.6 South Africa
12.7 United Arab Emirates
12.8 Rest of MEA
13 APAC’s AI Infrastructure Market
13.1 Introduction
13.2 Australia
13.3 Bangladesh
13.4 China
13.5 India
13.6 Indonesia
13.7 Japan
13.8 Malaysia
13.9 Philippines
13.10 Singapore
13.11 South Korea
13.12 Sri Lanka
13.13 Thailand
13.14 Taiwan
13.15 Rest of Asia-Pacific
14 Competitive Landscape
14.1 Competitive Quadrant
14.2 Market Share Analysis
14.3 Strategic Initiatives
14.3.1 M&A and Investments
14.3.2 Partnerships and Collaborations
14.3.3 Product Developments and Improvements
15 Company Profiles
15.1 Advanced Micro Devices
15.2 Amazon Web Services
15.3 ARM
15.4 Cadence Design Systems
15.5 Cisco Systems
15.6 Dell
15.7 Google
15.8 Graphcore
15.9 Gyrfalcon Technology
15.10 Hewlett Packard Enterprise
15.11 IBM
15.12 Intel
15.13 Micron Technology
15.14 Microsoft
15.15 MIPS Technologies
15.16 Nvidia
15.17 Samsung Electronics
15.18 SK Hynix
15.19 Synopsys
15.20 Xilinx
16 Appendix
16.1 Questionnaire
  • Advanced Micro Devices
  • Amazon Web Services
  • ARM
  • Cadence Design Systems
  • Cisco Systems
  • Dell
  • Google
  • Graphcore
  • Gyrfalcon Technology
  • Hewlett Packard Enterprise
  • IBM
  • Intel
  • Micron Technology
  • Microsoft
  • MIPS Technologies
  • Nvidia
  • Samsung Electronics
  • SK Hynix
  • Synopsys
  • Xilinx