AI Infrastructure Market – Global Industry Analysis and Forecast (2023-2029)


AI Infrastructure Market is expected to reach US$ 167.60 Bn by 2029, at a CAGR of 27.70% during the forecast period.

The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region.To know about the Research Methodology:-Request Free Sample Report

AI Infrastructure Market Drivers and Restrains:

Major factors driving the AI Infrastructure Market include increasing adoption of cloud machine learning platform, Surging Demand for FPGA-Based Accelerators, Increasing Focus on Developing Human-Aware AI Systems, escalating demand for AI hardware in high-performance computing data centres, rising focus on parallel computing in AI data centres, growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance.

However factors such as Dearth of AI Hardware Experts, Concerns Regarding Data Privacy in AI Platforms and No Assurance on Returns on Investment are retraining the market growth.

AI Infrastructure Market Segment Analysis:

Based on technology Global AI Infrastructure Market is segmented into Deep Learning and Machine Learning. Deep learning technology is expected to exhibit highest market share at a xx% CAGR during forecast period attributed to deep learning technology helps to manage data consistently. The deep learning platform learns from different sources and creates a consolidated data environment. Moreover, this platform reduces the workload of end-user industries such as semiconductor and electronics, energy & power, pharmaceuticals, automotive, heavy metals and machine manufacturing, and food & beverages.

AI Infrastructure Market Regional Insights:

Geographically, Global AI Infrastructure Market is segmented into North America, APAC, Europe, and MEA& Africa. North America accounts is expected to share highest market share of the global AI infrastructure market during forecast period owing to high adoption rate of AI-based servers, and presence of prominent their strong focus on investing in R&D activities for the development of new technologies and presence of prominent AI technology providers in the country, such as IBM, Google, Microsoft, NVIDIA, Intel, Facebook, and Amazon.com, is boosting the growth of the AI infrastructure market in this region.

Moreover Global AI Infrastructure Market in APAC is expected to grow at second highest CAGR during forecast period. Various government reforms such as the establishment of free trade in Shanghai, are attracting international investors as well as domestic investors. The growing demand for high-density, redundant facilities is triggering a shift in the design and development of the country’s data centers.

The objective of the report is to present comprehensive assessment projections with a suitable set of assumptions and methodology. The report helps in understanding Global AI Infrastructure Market dynamics, structure by identifying and analyzing the market segments and projecting the global market size. Further, the report also focuses on the competitive analysis of key players by product, price, financial position, growth strategies, and regional presence. To understand the market dynamics and by region, the report has covered the PEST analysis by region and key economies across the globe, which are supposed to have an impact on market in forecast period.

PORTER’s analysis, and SVOR analysis of the market as well as detailed SWOT analysis of key players has been done to analyze their strategies. The report will to address all questions of shareholders to prioritize the efforts and investment in the near future to the emerging segment in the Global AI Infrastructure Market.

 AI Infrastructure Market Scope: Inquire before buying






Global AI Infrastructure Market




Report Coverage
Details




Base Year:
2022
Forecast Period:
2023-2029




Historical Data:
2017 to 2022
Market Size in 2022:
US$ 30.26 Bn.




Forecast Period 2023 to 2029 CAGR:
27.70%
Market Size in 2029:
US$ 167.60 Bn.




 Segments Covered:
by Offering
Hardware
Software




by Type
On-Premises
Cloud
Hybrid




by Technology
Machine Learning
Deep Learning




by Function
Training
Inference






AI Infrastructure Market, by Region

North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria, Turkey, Russia and Rest of Europe)
Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina, Columbia and Rest of South America)

AI Infrastructure Market, Key Players are

1.Intel Corporation (US)
2. NVIDIA Corporation (US)
3. IBM (US)
4. Samsung Electronics (South Korea)
5. Google (US)
6. Microsoft (US
7. Micron Technology (US)
8. Amazon Web Services (US)
9. CISCO (US)
10. Oracle (US)
11. ARM (UK)
12. Xilinx (US),
13. Advanced Micro Devices (AMD)
14. Dell (US)
15. HPE (US)
16. Habana Labs (Israel)
17. Synopsys Inc. (US).
18. Facebook
19. Xilinx
20. CiscoNutanix
21. Pure Storage
22. Hewlett-Packard

Frequently Asked Questions:

1. Which region has the largest share in Global  Market?
Ans: North America region held the highest share in 2022.

2. What is the growth rate of Global  Market?
Ans: The Global Market is expected to grow at a CAGR of 27.70% during forecasting period 2023-2029.

3. What is scope of the Global  market report?
Ans: Global  Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period.

4. Who are the key players in Global  market?
Ans: The important key players in the Global  Market are – Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Samsung Electronics (South Korea), Google (US), Microsoft (US, Micron Technology (US), Amazon Web Services (US), CISCO (US), Oracle (US), ARM (UK), Xilinx (US),, Advanced Micro Devices (AMD), Dell (US), HPE (US), Habana Labs (Israel), and Synopsys Inc. (US).

5. What is the study period of this market?
Ans: The Global  Market is studied from 2022 to 2029. 





Global AI Infrastructure Market

1. Preface
1.1. Report Scope and Market Segmentation
1.2. Research Highlights
1.3. Research Objectives

2. Assumptions and Research Methodology
2.1. Report Assumptions
2.2. Abbreviations
2.3. Research Methodology
2.3.1. Secondary Research
2.3.1.1. Secondary data
2.3.1.2. Secondary Sources
2.3.2. Primary Research
2.3.2.1. Data from Primary Sources
2.3.2.2. Breakdown of Primary Sources

3. Executive Summary: Global AI Infrastructure Market, by Market Value (US$ Bn)

4. Market Overview
4.1. Introduction
4.2. Market Indicator
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Analysis
4.4. Value Chain Analysis
4.5. Market Risk Analysis
4.6. SWOT Analysis
4.7. Industry Trends in Global AI Infrastructure Market
4.8. Global AI Infrastructure Market Competitive Landscape

5. Supply Side and Demand Side Indicators

6. Global AI Infrastructure Market Analysis and Forecast
6.1. Global AI Infrastructure Market Size & Y-o-Y Growth Analysis
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Middle East & Africa
6.1.5. South America

7. Global AI Infrastructure Market Analysis and Forecast, by Offering
7.1. Introduction and Definition
7.2. Key Findings
7.3. Global AI Infrastructure Market Value Share Analysis, by Offering
7.4. Global AI Infrastructure Market Size (US$ Bn) Forecast, by Offering
7.5. Global AI Infrastructure Market Analysis, by Offering
7.6. Global AI Infrastructure Market Attractiveness Analysis, by Offering

8. Global AI Infrastructure Market Analysis and Forecast, by Technology
8.1. Introduction and Definition
8.2. Key Findings
8.3. Global AI Infrastructure Market Value Share Analysis, by Technology
8.4. Global AI Infrastructure Market Size (US$ Bn) Forecast, by Technology
8.5. Global AI Infrastructure Market Analysis, by Technology
8.6. Global AI Infrastructure Market Attractiveness Analysis, by Technology

9. Global AI Infrastructure Market Analysis and Forecast, by Function
9.1. Introduction and Definition
9.2. Key Findings
9.3. Global AI Infrastructure Market Value Share Analysis, by Function
9.4. Global AI Infrastructure Market Size (US$ Bn) Forecast, by Function
9.5. Global AI Infrastructure Market Analysis, by Function
9.6. Global AI Infrastructure Market Attractiveness Analysis, by Function

10. Global AI Infrastructure Market Analysis and Forecast, by Deployment Type
10.1. Introduction and Definition
10.2. Key Findings
10.3. Global AI Infrastructure Market Value Share Analysis, by Deployment Type
10.4. Global AI Infrastructure Market Size (US$ Bn) Forecast, by Deployment Type
10.5. Global AI Infrastructure Market Analysis, by Deployment Type
10.6. Global AI Infrastructure Market Attractiveness Analysis, by Deployment Type

11. Global AI Infrastructure Market Analysis, by Region
11.1. Global AI Infrastructure Market Value Share Analysis, by Region
11.2. Global AI Infrastructure Market Size (US$ Bn) Forecast, by Region
11.3. Global AI Infrastructure Market Attractiveness Analysis, by Region

12. North America AI Infrastructure Market Analysis
12.1. Key Findings
12.2. North America AI Infrastructure Market Overview
12.3. North America AI Infrastructure Market Value Share Analysis, by Offering
12.4. North America AI Infrastructure Market Forecast, by Offering
12.4.1. Hardware
12.4.2. Software
12.5. North America AI Infrastructure Market Value Share Analysis, by Technology
12.6. North America AI Infrastructure Market Forecast, by Technology
12.6.1. Machine Learning
12.6.2. Deep Learning
12.7. North America AI Infrastructure Market Value Share Analysis, by Function
12.8. North America AI Infrastructure Market Forecast, by Function
12.8.1. Training
12.8.2. Inference
12.9. North America AI Infrastructure Market Value Share Analysis, by Deployment Type
12.10. North America AI Infrastructure Market Forecast, by Deployment Type
12.10.1. On-Premises
12.10.2. Cloud
12.10.3. Hybrid
12.11. North America AI Infrastructure Market Value Share Analysis, by Country
12.12. North America AI Infrastructure Market Forecast, by Country
12.12.1. U.S.
12.12.2. Canada
12.13. North America AI Infrastructure Market Analysis, by Country
12.14. U.S. AI Infrastructure Market Forecast, by Offering
12.14.1. Hardware
12.14.2. Software
12.15. U.S. AI Infrastructure Market Forecast, by Technology
12.15.1. Machine Learning
12.15.2. Deep Learning
12.16. U.S. AI Infrastructure Market Forecast, by Function
12.16.1. Training
12.16.2. Inference
12.17. U.S. AI Infrastructure Market Forecast, by Deployment Type
12.17.1. On-Premises
12.17.2. Cloud
12.17.3. Hybrid
12.18. Canada AI Infrastructure Market Forecast, by Offering
12.18.1. Hardware
12.18.2. Software
12.19. Canada AI Infrastructure Market Forecast, by Technology
12.19.1. Machine Learning
12.19.2. Deep Learning
12.20. Canada AI Infrastructure Market Forecast, by Function
12.20.1. Training
12.20.2. Inference
12.21. Canada AI Infrastructure Market Forecast, by Deployment Type
12.21.1. On-Premises
12.21.2. Cloud
12.21.3. Hybrid
12.22. North America AI Infrastructure Market Attractiveness Analysis
12.22.1. By Offering
12.22.2. By Technology
12.22.3. By Function
12.22.4. By Deployment Type
12.23. PEST Analysis
12.24. Key Trends
12.25. Key Development

13. Europe AI Infrastructure Market Analysis
13.1. Key Findings
13.2. Europe AI Infrastructure Market Overview
13.3. Europe AI Infrastructure Market Value Share Analysis, by Offering
13.4. Europe AI Infrastructure Market Forecast, by Offering
13.4.1. Hardware
13.4.2. Software
13.5. Europe AI Infrastructure Market Value Share Analysis, by Technology
13.6. Europe AI Infrastructure Market Forecast, by Technology
13.6.1. Machine Learning
13.6.2. Deep Learning
13.7. Europe AI Infrastructure Market Value Share Analysis, by Function
13.8. Europe AI Infrastructure Market Forecast, by Function
13.8.1. Training
13.8.2. Inference
13.9. Europe AI Infrastructure Market Value Share Analysis, by Deployment Type
13.10. Europe AI Infrastructure Market Forecast, by Deployment Type
13.10.1. On-Premises
13.10.2. Cloud
13.10.3. Hybrid
13.11. Others Europe AI Infrastructure Market Value Share Analysis, by Country
13.12. Europe AI Infrastructure Market Forecast, by Country
13.12.1. Germany
13.12.2. U.K.
13.12.3. France
13.12.4. Italy
13.12.5. Spain
13.12.6. Rest of Europe
13.13. Europe AI Infrastructure Market Analysis, by Country
13.14. Germany AI Infrastructure Market Forecast, by Offering
13.14.1. Hardware
13.14.2. Software
13.15. Germany AI Infrastructure Market Forecast, by Technology
13.15.1. Machine Learning
13.15.2. Deep Learning
13.16. Germany AI Infrastructure Market Forecast, by Function
13.16.1. Training
13.16.2. Inference
13.17. Germany AI Infrastructure Market Forecast, by Deployment Type
13.17.1. On-Premises
13.17.2. Cloud
13.17.3. Hybrid
13.18. U.K. AI Infrastructure Market Forecast, by Offering
13.18.1. Hardware
13.18.2. Software
13.19. U.K. AI Infrastructure Market Forecast, by Technology
13.19.1. Machine Learning
13.19.2. Deep Learning
13.20. U.K. AI Infrastructure Market Forecast, by Function
13.20.1. Training
13.20.2. Inference
13.21. U.K. AI Infrastructure Market Forecast, by Deployment Type
13.21.1. On-Premises
13.21.2. Cloud
13.21.3. Hybrid
13.22. France AI Infrastructure Market Forecast, by Offering
13.22.1. Hardware
13.22.2. Software
13.23. France AI Infrastructure Market Forecast, by Technology
13.23.1. Machine Learning
13.23.2. Deep Learning
13.24. France AI Infrastructure Market Forecast, by Function
13.24.1. Training
13.24.2. Inference
13.25. France AI Infrastructure Market Forecast, by Deployment Type
13.25.1. On-Premises
13.25.2. Cloud
13.25.3. Hybrid
13.26. Italy AI Infrastructure Market Forecast, by Offering
13.26.1. Hardware
13.26.2. Software
13.27. Italy AI Infrastructure Market Forecast, by Technology
13.27.1. Machine Learning
13.27.2. Deep Learning
13.28. Italy AI Infrastructure Market Forecast, by Function
13.28.1. Training
13.28.2. Inference
13.29. Italy AI Infrastructure Market Forecast, by Deployment Type
13.29.1. On-Premises
13.29.2. Cloud
13.29.3. Hybrid
13.30. Spain AI Infrastructure Market Forecast, by Offering
13.30.1. Hardware
13.30.2. Software
13.31. Spain AI Infrastructure Market Forecast, by Technology
13.31.1. Machine Learning
13.31.2. Deep Learning
13.32. Spain AI Infrastructure Market Forecast, by Function
13.32.1. Training
13.32.2. Inference
13.33. Spain AI Infrastructure Market Forecast, by Deployment Type
13.33.1. On-Premises
13.33.2. Cloud
13.33.3. Hybrid
13.34. Rest of Europe AI Infrastructure Market Forecast, by Offering
13.34.1. Hardware
13.34.2. Software
13.35. Rest of Europe AI Infrastructure Market Forecast, by Technology
13.35.1. Machine Learning
13.35.2. Deep Learning
13.36. Rest of Europe AI Infrastructure Market Forecast, by Function
13.36.1. Training
13.36.2. Inference
13.37. Rest Of Europe AI Infrastructure Market Forecast, by Deployment Type
13.37.1. On-Premises
13.37.2. Cloud
13.37.3. Hybrid
13.38. Europe AI Infrastructure Market Attractiveness Analysis
13.38.1. By Offering
13.38.2. By Technology
13.38.3. By Function
13.38.4. By Deployment Type
13.39. PEST Analysis
13.40. Key Trends
13.41. Key Development

14. Asia Pacific AI Infrastructure Market Analysis
14.1. Key Findings
14.2. Asia Pacific AI Infrastructure Market Overview
14.3. Asia Pacific AI Infrastructure Market Value Share Analysis, by Offering
14.4. Asia Pacific AI Infrastructure Market Forecast, by Offering
14.4.1. Hardware
14.4.2. Software
14.5. Asia Pacific AI Infrastructure Market Value Share Analysis, by Technology
14.6. Asia Pacific AI Infrastructure Market Forecast, by Technology
14.6.1. Machine Learning
14.6.2. Deep Learning
14.7. Asia Pacific AI Infrastructure Market Value Share Analysis, by Function
14.8. Asia Pacific AI Infrastructure Market Forecast, by Function
14.8.1. Training
14.8.2. Inference
14.9. Asia Pacific AI Infrastructure Market Value Share Analysis, by Deployment Type
14.10. Asia Pacific AI Infrastructure Market Forecast, by Deployment Type
14.10.1. On-Premises
14.10.2. Cloud
14.10.3. Hybrid
14.11. Asia Pacific AI Infrastructure Market Value Share Analysis, by Country
14.12. Asia Pacific AI Infrastructure Market Forecast, by Country
14.12.1. China
14.12.2. India
14.12.3. Japan
14.12.4. ASEAN
14.12.5. Rest of Asia Pacific
14.13. Asia Pacific AI Infrastructure Market Analysis, by Country
14.14. China AI Infrastructure Market Forecast, by Offering
14.14.1. Hardware
14.14.2. Software
14.15. China AI Infrastructure Market Forecast, by Technology
14.15.1. Machine Learning
14.15.2. Deep Learning
14.16. China AI Infrastructure Market Forecast, by Function
14.16.1. Training
14.16.2. Inference
14.17. China AI Infrastructure Market Forecast, by Deployment Type
14.17.1. On-Premises
14.17.2. Cloud
14.17.3. Hybrid
14.18. India AI Infrastructure Market Forecast, by Offering
14.18.1. Hardware
14.18.2. Software
14.19. India AI Infrastructure Market Forecast, by Technology
14.19.1. Machine Learning
14.19.2. Deep Learning
14.20. India AI Infrastructure Market Forecast, by Function
14.20.1. Training
14.20.2. Inference
14.21. India AI Infrastructure Market Forecast, by Deployment Type
14.21.1. On-Premises
14.21.2. Cloud
14.21.3. Hybrid
14.22. Japan AI Infrastructure Market Forecast, by Offering
14.22.1. Hardware
14.22.2. Software
14.23. Japan AI Infrastructure Market Forecast, by Technology
14.23.1. Machine Learning
14.23.2. Deep Learning
14.24. Japan AI Infrastructure Market Forecast, by Function
14.24.1. Training
14.24.2. Inference
14.25. Japan AI Infrastructure Market Forecast, by Deployment Type
14.25.1. On-Premises
14.25.2. Cloud
14.25.3. Hybrid
14.26. ASEAN AI Infrastructure Market Forecast, by Offering
14.26.1. Hardware
14.26.2. Software
14.27. ASEAN AI Infrastructure Market Forecast, by Technology
14.27.1. Machine Learning
14.27.2. Deep Learning
14.28. ASEAN AI Infrastructure Market Forecast, by Function
14.28.1. Training
14.28.2. Inference
14.29. ASEAN AI Infrastructure Market Forecast, by Deployment Type
14.29.1. On-Premises
14.29.2. Cloud
14.29.3. Hybrid
14.30. Rest of Asia Pacific AI Infrastructure Market Forecast, by Offering
14.30.1. Hardware
14.30.2. Software
14.31. Rest of Asia Pacific AI Infrastructure Market Forecast, by Technology
14.31.1. Machine Learning
14.31.2. Deep Learning
14.32. Rest of Asia Pacific AI Infrastructure Market Forecast, by Function
14.32.1. Training
14.32.2. Inference
14.33. Rest of Asia Pacific AI Infrastructure Market Forecast, by Deployment Type
14.33.1. On-Premises
14.33.2. Cloud
14.33.3. Hybrid
14.34. Asia Pacific AI Infrastructure Market Attractiveness Analysis
14.34.1. By Offering
14.34.2. By Technology
14.34.3. By Function
14.34.4. By Deployment Type
14.35. PEST Analysis
14.36. Key Trends
14.37. Key Development

15. Middle East & Africa AI Infrastructure Market Analysis
15.1. Key Findings
15.2. Middle East & Africa AI Infrastructure Market Overview
15.3. Middle East & Africa AI Infrastructure Market Value Share Analysis, by Offering
15.4. Middle East & Africa AI Infrastructure Market Forecast, by Offering
15.4.1. Hardware
15.4.2. Software
15.5. Middle East & Africa AI Infrastructure Market Value Share Analysis, by Technology
15.6. Middle East & Africa AI Infrastructure Market Forecast, by Technology
15.6.1. Machine Learning
15.6.2. Deep Learning
15.7. Middle East & Africa AI Infrastructure Market Value Share Analysis, by Function
15.8. Middle East & Africa AI Infrastructure Market Forecast, by Function
15.8.1. Training
15.8.2. Inference
15.9. Middle East & Africa AI Infrastructure Market Value Share Analysis, by Deployment Type
15.10. Middle East & Africa AI Infrastructure Market Forecast, by Deployment Type
15.10.1. On-Premises
15.10.2. Cloud
15.10.3. Hybrid
15.11. Middle East & Africa AI Infrastructure Market Value Share Analysis, by Country
15.12. Middle East & Africa AI Infrastructure Market Forecast, by Country
15.12.1. GCC
15.12.2. South Africa
15.12.3. Rest of Middle East & Africa
15.13. Middle East & Africa AI Infrastructure Market Analysis, by Country
15.14. GCC AI Infrastructure Market Forecast, by Offering
15.14.1. Hardware
15.14.2. Software
15.15. GCC AI Infrastructure Market Forecast, by Technology
15.15.1. Machine Learning
15.15.2. Deep Learning
15.16. GCC AI Infrastructure Market Forecast, by Function
15.16.1. Training
15.16.2. Inference
15.17. GCC AI Infrastructure Market Forecast, by Deployment Type
15.17.1. On-Premises
15.17.2. Cloud
15.17.3. Hybrid
15.18. South Africa AI Infrastructure Market Forecast, by Offering
15.18.1. Hardware
15.18.2. Software
15.19. South Africa AI Infrastructure Market Forecast, by Technology
15.19.1. Machine Learning
15.19.2. Deep Learning
15.20. South Africa AI Infrastructure Market Forecast, by Function
15.20.1. Training
15.20.2. Inference
15.21. South Africa AI Infrastructure Market Forecast, by Deployment Type
15.21.1. On-Premises
15.21.2. Cloud
15.21.3. Hybrid
15.22. Rest of Middle East & Africa AI Infrastructure Market Forecast, by Offering
15.22.1. Hardware
15.22.2. Software
15.23. Rest of Middle East & Africa AI Infrastructure Market Forecast, by Technology
15.23.1. Machine Learning
15.23.2. Deep Learning
15.24. Rest of Middle East & Africa AI Infrastructure Market Forecast, by Function
15.24.1. Training
15.24.2. Inference
15.25. Rest of Middle East & Africa AI Infrastructure Market Forecast, by Deployment Type
15.25.1. On-Premises
15.25.2. Cloud
15.25.3. Hybrid
15.26. Middle East & Africa AI Infrastructure Market Attractiveness Analysis
15.26.1. By Offering
15.26.2. By Technology
15.26.3. By Function
15.26.4. By Deployment Type
15.27. PEST Analysis
15.28. Key Trends
15.29. Key Development

16. South America AI Infrastructure Market Analysis
16.1. Key Findings
16.2. South America AI Infrastructure Market Overview
16.3. South America AI Infrastructure Market Value Share Analysis, by Offering
16.4. South America AI Infrastructure Market Forecast, by Offering
16.4.1. Hardware
16.4.2. Software
16.5. South America AI Infrastructure Market Value Share Analysis, by Technology
16.6. South America AI Infrastructure Market Forecast, by Technology
16.6.1. Machine Learning
16.6.2. Deep Learning
16.7. South America AI Infrastructure Market Value Share Analysis, by Function
16.8. South America AI Infrastructure Market Forecast, by Function
16.8.1. Training
16.8.2. Inference
16.9. South America AI Infrastructure Market Value Share Analysis, by Deployment Type
16.10. South America AI Infrastructure Market Forecast, by Deployment Type
16.10.1. On-Premises
16.10.2. Cloud
16.10.3. Hybrid
16.11. South America AI Infrastructure Market Value Share Analysis, by Country
16.12. South America AI Infrastructure Market Forecast, by Country
16.12.1. Brazil
16.12.2. Mexico
16.12.3. Rest of South America
16.13. South America AI Infrastructure Market Analysis, by Country
16.14. Brazil AI Infrastructure Market Forecast, by Offering
16.14.1. Hardware
16.14.2. Software
16.15. Brazil AI Infrastructure Market Forecast, by Technology
16.15.1. Machine Learning
16.15.2. Deep Learning
16.16. Brazil AI Infrastructure Market Forecast, by Function
16.16.1. Training
16.16.2. Inference
16.17. Brazil AI Infrastructure Market Forecast, by Deployment Type
16.17.1. On-Premises
16.17.2. Cloud
16.17.3. Hybrid
16.18. Mexico AI Infrastructure Market Forecast, by Offering
16.18.1. Hardware
16.18.2. Software
16.19. Mexico AI Infrastructure Market Forecast, by Technology
16.19.1. Machine Learning
16.19.2. Deep Learning
16.20. Mexico AI Infrastructure Market Forecast, by Function
16.20.1. Training
16.20.2. Inference
16.21. Mexico AI Infrastructure Market Forecast, by Deployment Type
16.21.1. On-Premises
16.21.2. Cloud
16.21.3. Hybrid
16.22. Rest of South America AI Infrastructure Market Forecast, by Offering
16.22.1. Hardware
16.22.2. Software
16.23. Rest of South America AI Infrastructure Market Forecast, by Technology
16.23.1. Machine Learning
16.23.2. Deep Learning
16.24. Rest of South America AI Infrastructure Market Forecast, by Function
16.24.1. Training
16.24.2. Inference
16.25. Rest of South America AI Infrastructure Market Forecast, by Deployment Type
16.25.1. On-Premises
16.25.2. Cloud
16.25.3. Hybrid
16.26. South America AI Infrastructure Market Attractiveness Analysis
16.26.1. By Offering
16.26.2. By Technology
16.26.3. By Function
16.26.4. By Deployment Type
16.27. PEST Analysis
16.28. Key Trends
16.29.
16.30. Key Development

17. Company Profiles
17.1. Market Share Analysis, by Company
17.2. Competition Matrix
17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment
17.2.2. New Product Launches and Product Enhancements
17.2.3. Market Consolidation
17.2.3.1. M&A by Regions, Investment and Applications
17.2.3.2. M&A Key Players, Forward Integration and Backward
Integration
17.3. Company Profiles: Key Players
17.3.1. Intel Corporation (US)
17.3.1.1. Company Overview
17.3.1.2. Financial Overview
17.3.1.3. Product Portfolio
17.3.1.4. Business Strategy
17.3.1.5. Recent Developments
17.3.1.6. Company Footprint
17.3.2. NVIDIA Corporation (US)
17.3.3. IBM (US)
17.3.4. Samsung Electronics (South Korea)
17.3.5. Google (US)
17.3.6. Microsoft (US)
17.3.7. Micron Technology (US)
17.3.8. Amazon Web Services (US)
17.3.9. CISCO (US)
17.3.10. Oracle (US)
17.3.11. ARM (UK)
17.3.12. Xilinx (US)
17.3.13. Advanced Micro Devices (AMD)
17.3.14. Dell (US)
17.3.15. Facebook
17.3.16. Amazon
17.3.17. CiscoNutanix
17.3.18. Pure Storage
17.3.19. Hewlett-Packard

18. Primary Key Insights
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