AI Infrastructure Market by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud, Hybrid), End User, and Region - Global Forecast to 2025

Abstract
Apex Market Research has published a new report titled ”Global AI Infrastructure Market share, forecast data, In-Depth Analysis, and Forecast, 2020-2027”. According to the report, The global AI Infrastructure market is estimated to grow from USD 14.6 billion in 2019 to USD 50.6 billion by 2025, at a CAGR of 23.1%. The report offers in-depth insights, revenue details, and other vital information regarding the global AI Infrastructure market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2027.

Attractive Opportunities in the AI Infrastructure market

The report covers an in depth description, competitive scenario, wide product portfolio of key vendors and business strategy adopted by competitors along with their SWOT analysis, revenue, sales and Porter's Five Forces Analysis.
Global AI Infrastructure market report offers in-depth insights, revenue details, and other vital information regarding the global AI Infrastructure market, and the various trends, drivers, restraints, opportunities, and threats in the target market till year 2027. Hence, it covers the impact of these drivers and restraints on demand for this market during the forecast period.
It provides historical data along with future forecast as well as detailed analysis of market on a global, regional and country level. Important market data of this market is projected in the form of tables, graphics, and pictures. On a regional basis, the market is categorized into five regions that include North America, Europe, Asia Pacific, Latin America, and Middle & East Africa. It analyzes complete scenario of each and every region along with highest shareholder of AI Infrastructure market. The major players operating into AI Infrastructure Market include: 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) (US)
Dell (US)
HPE (US)
Habana Labs (Israel)
and Synopsys Inc. (US). Total 20 ecosystem players are covered. Scope Of the Report
Report Parameters Details of Parameter
Market Size 2020-2027
Based Year 2019
Forecast Period Covered 2020-2027
Units for value Value (USD billion/million) and volume (million/billion units)
Covered Segments By offering, by technology, by function, by deployment type, by end user, by geography
Region Covered North America (the United States, Canada, and Mexico)
Europe (Germany, UK, France, Italy, and Russia, etc.)
Asia-Pacific (China, Japan, ASEAN, India, and Korea)
The Middle East and Africa (UAE, Egypt, South Africa, Saudi Arabia)
South America (Brazil, Chile, Peru, and Argentina)
This research report categorizes the AI Infrastructure market to forecast revenues and analyze trends in each of the following submarkets:

Based on Offering, the AI infrastructure market has been segmented as follows:

  • Hardware
  • Processor
  • CPU
  • GPU
  • FPGA
  • ASIC
  • Memory
  • Storage
  • Networking
  • Server Software

Based on Technology, the AI infrastructure market has been segmented as follows:

  • Machine learning
  • Deep learning

Based on Function, the AI infrastructure market has been segmented as follows:

  • Training
  • Inference

Based on Deployment type, the AI infrastructure market has been segmented as follows:

  • On-premises
  • Cloud
  • Hybrid

Based on End-user, the AI infrastructure market has been segmented as follows:

  • Enterprises
  • Government organizations
  • Cloud service providers
By geography, this market has been segregated into five regions with revenue and growth rate of AI Infrastructure from 2020 to 2027,
There are 13 chapters to put on view for AI Infrastructure Market:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview Chapter 2: Market competition by Manufacturers Chapter 3: Production by Regions Chapter 4: Consumption by Regions Chapter 5: Production, By Types, Revenue and Market share by Types Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications Chapter 7: Complete profiling and analysis of Manufacturers Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers Chapter 10: Marketing Strategy Analysis, Distributors/Traders Chapter 11: Market Effect Factors Analysis Chapter 12: Market Forecast Chapter 13: AI Infrastructure Research Findings and Conclusion, Appendix, methodology and data source Data type include capacity, production, market share, price, revenue, cost, gross, gross margin, growth rate, consumption, import, export have been determined using secondary sources and verified primary sources. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this report. Industry Chain Analysis Raw Material and Suppliers Equipment and Suppliers Manufacturing Process Manufacturing Cost Structure Manufacturing Plants Distribution Analysis Available Customizations We can also provide customized report as per company's specific needs. We can also provide the customized separate regional or country-level reports, for the specific region as per client requirement.
Chapter 1 Industry Overview 1.1 AI Infrastructure Market Overview 1.1.1 AI Infrastructure Product Scope 1.1.2 Market Status and Outlook 1.2 Global AI Infrastructure Market Size and Analysis by Regions (2015-2019) 1.2.1 North America AI Infrastructure Market Status and Outlook 1.2.2 EU AI Infrastructure Market Status and Outlook 1.2.3 Japan AI Infrastructure Market Status and Outlook 1.2.4 China AI Infrastructure Market Status and Outlook 1.2.5 India AI Infrastructure Market Status and Outlook 1.2.6 Southeast Asia AI Infrastructure Market Status and Outlook 1.3 Global AI Infrastructure Market Segment Based on Offering, the AI infrastructure market has been segmented as follows:
1.3.1 Introduction
1.3.1.1 Market Estimates And Forecast 2015-2027
1.3.1 Hardware
1.3.1.1 Market Estimates And Forecast By Country, 2015-2027
1.3.2 Processor
1.3.2.1 Market Estimates And Forecast By Country, 2015-2027
1.3.3 CPU
1.3.3.1 Market Estimates And Forecast By Country, 2015-2027
1.3.4 GPU
1.3.4.1 Market Estimates And Forecast By Country, 2015-2027
1.3.5 FPGA
1.3.5.1 Market Estimates And Forecast By Country, 2015-2027
1.3.6 ASIC
1.3.6.1 Market Estimates And Forecast By Country, 2015-2027
1.3.7 Memory
1.3.7.1 Market Estimates And Forecast By Country, 2015-2027
1.3.8 Storage
1.3.8.1 Market Estimates And Forecast By Country, 2015-2027
1.3.9 Networking
1.3.9.1 Market Estimates And Forecast By Country, 2015-2027
1.3.10 Server Software
1.3.10.1 Market Estimates And Forecast By Country, 2015-2027
1.4 Global AI Infrastructure Market Segment Based on Technology, the AI infrastructure market has been segmented as follows:
1.4.1 Introduction
1.4.1.1 Market Estimates And Forecast 2015-2027
1.4.1 Machine learning
1.4.1.1 Market Estimates And Forecast By Country, 2015-2027
1.4.2 Deep learning
1.4.2.1 Market Estimates And Forecast By Country, 2015-2027
1.5 Global AI Infrastructure Market Segment Based on Function, the AI infrastructure market has been segmented as follows:
1.5.1 Introduction
1.5.1.1 Market Estimates And Forecast 2015-2027
1.5.1 Training
1.5.1.1 Market Estimates And Forecast By Country, 2015-2027
1.5.2 Inference
1.5.2.1 Market Estimates And Forecast By Country, 2015-2027
1.6 Global AI Infrastructure Market Segment Based on Deployment type, the AI infrastructure market has been segmented as follows:
1.6.1 Introduction
1.6.1.1 Market Estimates And Forecast 2015-2027
1.6.1 On-premises
1.6.1.1 Market Estimates And Forecast By Country, 2015-2027
1.6.2 Cloud
1.6.2.1 Market Estimates And Forecast By Country, 2015-2027
1.6.3 Hybrid
1.6.3.1 Market Estimates And Forecast By Country, 2015-2027
1.7 Global AI Infrastructure Market Segment Based on End-user, the AI infrastructure market has been segmented as follows:
1.7.1 Introduction
1.7.1.1 Market Estimates And Forecast 2015-2027
1.7.1 Enterprises
1.7.1.1 Market Estimates And Forecast By Country, 2015-2027
1.7.2 Government organizations
1.7.2.1 Market Estimates And Forecast By Country, 2015-2027
1.7.3 Cloud service providers
1.7.3.1 Market Estimates And Forecast By Country, 2015-2027
Chapter 2 Global AI Infrastructure Competition Analysis by Players 2.1 Global AI Infrastructure Market Size (Million USD) by Players (2015-2019) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future Chapter 3 Company (Top Players) Profiles and Key Data 3.1 Intel Corporation (US) 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4 Intel Corporation (US), AI Infrastructure Revenue (Million USD) (2015-2019) 3.1.5 Recent Developments 3.2 NVIDIA Corporation (US) 3.2.1 Company Profile 3.2.2 Main Business/Business Overview 3.2.3 Products, Services and Solutions 3.2.4 NVIDIA Corporation (US), AI Infrastructure Revenue (Million USD) (2015-2019) 3.2.5 Recent Developments 3.3 IBM (US) 3.3.1 Company Profile 3.3.2 Main Business/Business Overview 3.3.3 Products, Services and Solutions 3.3.4 IBM (US), AI Infrastructure Revenue (Million USD) (2015-2019) 3.3.5 Recent Developments 3.4 Samsung Electronics (South Korea) 3.4.1 Company Profile 3.4.2 Main Business/Business Overview 3.4.3 Products, Services and Solutions 3.4.4 Samsung Electronics (South Korea), AI Infrastructure Revenue (Million USD) (2015-2019) 3.4.5 Recent Developments 3.5 Google (US) 3.5.1 Company Profile 3.5.2 Main Business/Business Overview 3.5.3 Products, Services and Solutions 3.5.4 Google (US), AI Infrastructure Revenue (Million USD)(2015-2019) 3.5.5 Recent Developments 3.6 Microsoft (US) 3.6.1 Company Profile 3.6.2 Main Business/Business Overview 3.6.3 Products, Services and Solutions 3.6.4 Microsoft (US), AI Infrastructure Revenue (Million USD)(2015-2019) 3.6.5 Recent Developments 3.7 Micron Technology (US) 3.7.1 Company Profile 3.7.2 Main Business/Business Overview 3.7.3 Products, Services and Solutions 3.7.4 Micron Technology (US), AI Infrastructure Revenue (Million USD)(2015-2019) 3.7.5 Recent Developments 3.8 Amazon Web Services (US) 3.8.1 Company Profile 3.8.2 Main Business/Business Overview 3.8.3 Products, Services and Solutions 3.8.4 Amazon Web Services (US), AI Infrastructure Revenue (Million USD) (2015-2019) 3.8.5 Recent Developments 3.9 CISCO (US) 3.9.1 Company Profile 3.9.2 Main Business/Business Overview 3.9.3 Products, Services and Solutions 3.9.4 CISCO (US), AI Infrastructure Revenue (Million USD) (2015-2019) 3.9.5 Recent Developments 3.10 Oracle (US) 3.10.1 Company Profile 3.10.2 Main Business/Business Overview 3.10.3 Products, Services and Solutions 3.10.4 Oracle (US), AI Infrastructure Revenue (Million USD) (2015-2019) 3.10.5 Recent Developments Chapter 4 Global AI Infrastructure Market Size Type (2015-2019) 4.1 Global AI Infrastructure Market Size by Type (2015-2019) Chapter 5 Global AI Infrastructure Market Size Application (2015-2019) 5.1 Global AI Infrastructure Market Size by Application (2015-2019) 5.2 Potential Application of AI Infrastructure in Future 5.3 Top Consumer / End Users of AI Infrastructure Chapter 6 North America AI Infrastructure Development Status and Outlook 6.1 North America AI Infrastructure Market Size (2015-2019) 6.2 North America AI Infrastructure Market Size by Application (2015-2019) Chapter 7 EU AI Infrastructure Development Status and Outlook 7.1 EU AI Infrastructure Market Size (2015-2019) 7.2 EU AI Infrastructure Market Size by Application (2015-2019) Chapter 8 Japan AI Infrastructure Development Status and Outlook 8.1 Japan AI Infrastructure Market Size (2015-2019) 8.2 Japan AI Infrastructure Market Size by Application (2015-2019) Chapter 9 China AI Infrastructure Development Status and Outlook 9.1 China AI Infrastructure Market Size and Forecast (2015-2019) 9.2 China AI Infrastructure Market Size by Application (2015-2019) Chapter 10 India AI Infrastructure Development Status and Outlook 10.1 India AI Infrastructure Market Size and Forecast (2015-2019) 10.2 India AI Infrastructure Market Size by Application (2015-2019) Chapter 11 Southeast Asia AI Infrastructure Development Status and Outlook 11.1 Southeast Asia AI Infrastructure Market Size and Forecast (2015-2019) 11.2 Southeast Asia AI Infrastructure Market Size by Application (2015-2019) Chapter 12 Market Forecast by Regions and Application (2020-2027) 12.1 Global AI Infrastructure Market Size (Million USD) by Regions (2020-2027) 12.1. North America AI Infrastructure Revenue and Growth Rate (2020-2027) 12.1.2 EU AI Infrastructure Revenue and Growth Rate (2020-2027) 12.1.3 China AI Infrastructure Revenue and Growth Rate (2020-2027) 12.1.4 Japan AI Infrastructure Revenue and Growth Rate (2020-2027) 12.1.5 Southeast Asia AI Infrastructure Revenue and Growth Rate (2020-2027) 12.1.6 India AI Infrastructure Revenue and Growth Rate (2020-2027) 12.2 Global AI Infrastructure Market Size by Application (2020-2027) Chapter 13 AI Infrastructure Market Dynamics 13.1 AI Infrastructure Market Opportunities 13.2 AI Infrastructure Challenge and Risk 13.2.1 Competition from Opponents 13.2.2 Downside Risks of Economy 13.3 AI Infrastructure Market Constraints and Threat 13.3.1 Threat from Substitute 13.3.2 Government Policy 13.3.3 Technology Risks 13.4 AI Infrastructure Market Driving Force 13.4.1 Growing Demand from Emerging Markets 13.4.2 Potential Application Chapter 14 Market Effect Factors Analysis 14.1 Technology Progress/Risk 14.1.1 Substitutes 14.1.2 Technology Progress in Related Industry 14.2 Consumer Needs Trend/Customer Preference 14.3 External Environmental Change 14.3.1 Economic Fluctuations 14.3.2 Other Risk Factors Chapter 15 Research Finding /Conclusion Chapter 16 Methodology and Data Source 16.1 Methodology/Research Approach 16.1.1 Research Programs/Design 16.1.2 Market Size Estimation 16.1.3 Market Breakdown and Data Triangulation 16.2 Data Source 16.2.1 Secondary Sources 16.2.2 Primary Sources 16.3 Disclaimer 16.4 Author List
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