AI Infrastructure Market – Industry Structure Evaluation, Demand Drivers Analysis, Regional Growth Analysis and Identification, Competitive Positioning / Landscape Review & Global Market Size Forecast to 2029

27.7%
CAGR (2023-2029)
30.26 USD Bn.
Market Size
310
Report Pages
128
Market Tables

Overview

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.

Table of Contents

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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