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North America AI Infrastructure Market Size, Share & Industry Trends Analysis Report By Offering (Hardware and Server Software), By End User, By Deployment Type, By Function (Inference and Training), By Technology, By Country and Growth Forecast, 2022 - 2028

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    Report

  • 119 Pages
  • August 2022
  • Region: North America
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5658913
The North America AI Infrastructure Market is expected to witness market growth of 23.2% CAGR during the forecast period (2022-2028).

AI is a collection of algorithms that can address a certain set of issues and performs best when given access to a sizable amount of high-quality Big Data. Businesses can save up to 30% on operating expenses by using chatbots. Additionally, businesses are becoming more aware of how AI may assist humans in decision-making, problem-solving, and creative efforts as the focus of IT strategy shifts from data management to intelligent action.

In a competitive climate with several prospective opportunities, like new opportunities utilizing AI to drive innovation, find connections, identify, and nurture new innovations, businesses know that integrating and leveraging AI is vital for their continuous success. Having a sufficient infrastructure to support AI advancements should be one of every organization's first priorities in order to take advantage of the growing prospects presented by AI. Furthermore, the operation of AI systems typically necessitates the integration of new hardware and software.

Canada has a thriving domestic technology industry. The Canadian information and communications technologies (ICT) industry comprises more than 43,200 businesses. The software & computer services sectors employ the vast majority. The majority of the sector's businesses are small ones, with about 35,500 of them working less than ten people. There are about 100 significant businesses, including subsidiaries of overseas multinational organizations, that employ more than 500 people.

The US market dominated the North America AI Infrastructure Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $30,927.5 million by 2028.The Canada market is poised to grow at a CAGR of 26% during (2022 - 2028). Additionally, The Mexico market is expected to witness a CAGR of 24.9% during (2022 - 2028).

Based on Offering, the market is segmented into Hardware and Server Software. Based on End User, the market is segmented into Cloud Service Providers, Enterprises and Government Organizations. Based on Deployment Type, the market is segmented into On-premise, Hybrid and Cloud. Based on Function, the market is segmented into Inference and Training. Based on Technology, the market is segmented into Machine Learning and Deep Learning. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Oracle Corporation, Intel Corporation, Samsung Electronics Co., Ltd. (Samsung Group), IBM Corporation, Google LLC, Amazon Web Services, Inc. (Amazon.com, Inc.), Hewlett-Packard Enterprise Company, Cisco Systems, Inc., Dell Technologies, Inc., and Toshiba Corporation.

Scope of the Study

Market Segments Covered in the Report:

By Offering
  • Hardware
  • Server Software
By End User
  • Cloud Service Providers
  • Enterprises
  • Government Organizations
By Deployment Type
  • On-premise
  • Hybrid
  • Cloud
By Function
  • Inference
  • Training
By Technology
  • Machine Learning
  • Deep Learning
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America

Key Market Players

List of Companies Profiled in the Report:

  • Oracle Corporation
  • Intel Corporation
  • Samsung Electronics Co., Ltd. (Samsung Group)
  • IBM Corporation
  • Google LLC
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Hewlett-Packard Enterprise Company
  • Cisco Systems, Inc.
  • Dell Technologies, Inc.
  • Toshiba Corporation

Unique Offerings from the Publisher

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America AI Infrastructure Market, by Offering
1.4.2 North America AI Infrastructure Market, by End User
1.4.3 North America AI Infrastructure Market, by Deployment Type
1.4.4 North America AI Infrastructure Market, by Function
1.4.5 North America AI Infrastructure Market, by Technology
1.4.6 North America AI Infrastructure Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.2.4 Business Expansions
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.4.2 Key Strategic Move: (Acquisition and Mergers: 2018, Aug - 2021, Dec) Leading Players
Chapter 4. North America AI Infrastructure Market by Offering
4.1 North America Hardware Market by Country
4.2 North America Server Software Market by Country
Chapter 5. North America AI Infrastructure Market by End user
5.1 North America Cloud Service Providers Market by Country
5.2 North America Enterprises Market by Country
5.3 North America Government Organizations Market by Country
Chapter 6. North America AI Infrastructure Market by Deployment Type
6.1 North America On-premise Market by Country
6.2 North America Hybrid Market by Country
6.3 North America Cloud Market by Country
Chapter 7. North America AI Infrastructure Market by Function
7.1 North America Inference Market by Country
7.2 North America Training Market by Country
Chapter 8. North America AI Infrastructure Market by Technology
8.1 North America Machine Learning Market by Country
8.2 North America Deep Learning Market by Country
Chapter 9. North America AI Infrastructure Market by Country
9.1 US AI Infrastructure Market
9.1.1 US AI Infrastructure Market by Offering
9.1.2 US AI Infrastructure Market by End user
9.1.3 US AI Infrastructure Market by Deployment Type
9.1.4 US AI Infrastructure Market by Function
9.1.5 US AI Infrastructure Market by Technology
9.2 Canada AI Infrastructure Market
9.2.1 Canada AI Infrastructure Market by Offering
9.2.2 Canada AI Infrastructure Market by End user
9.2.3 Canada AI Infrastructure Market by Deployment Type
9.2.4 Canada AI Infrastructure Market by Function
9.2.5 Canada AI Infrastructure Market by Technology
9.3 Mexico AI Infrastructure Market
9.3.1 Mexico AI Infrastructure Market by Offering
9.3.2 Mexico AI Infrastructure Market by End user
9.3.3 Mexico AI Infrastructure Market by Deployment Type
9.3.4 Mexico AI Infrastructure Market by Function
9.3.5 Mexico AI Infrastructure Market by Technology
9.4 Rest of North America AI Infrastructure Market
9.4.1 Rest of North America AI Infrastructure Market by Offering
9.4.2 Rest of North America AI Infrastructure Market by End user
9.4.3 Rest of North America AI Infrastructure Market by Deployment Type
9.4.4 Rest of North America AI Infrastructure Market by Function
9.4.5 Rest of North America AI Infrastructure Market by Technology
Chapter 10. Company Profiles
10.1 Oracle Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expense
10.1.5 Recent strategies and developments:
10.1.5.1 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 Intel Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Product Launches and Product Expansions:
10.2.5.2 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Samsung Electronics Co., Ltd. (Samsung Group)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments:
10.3.5.1 Acquisition and Mergers:
10.3.6 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional & Segmental Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 Google LLC
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.5.2 Product Launches and Product Expansions:
10.5.6 SWOT Analysis
10.6 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental Analysis
10.6.4 SWOT Analysis
10.7 Hewlett Packard Enterprise Company
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Acquisition and Mergers:
10.7.6 SWOT Analysis
10.8 Cisco Systems, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional Analysis
10.8.4 Research & Development Expense
10.8.5 SWOT Analysis
10.9 Dell Technologies, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Acquisition and Mergers:
10.9.5.2 Business Expansions:
10.9.6 SWOT Analysis:
10.10. Toshiba Corporation
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research and Development Expense
10.10.5 SWOT Analysis

Companies Mentioned

  • Oracle Corporation
  • Intel Corporation
  • Samsung Electronics Co., Ltd. (Samsung Group)
  • IBM Corporation
  • Google LLC
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Hewlett-Packard Enterprise Company
  • Cisco Systems, Inc.
  • Dell Technologies, Inc.
  • Toshiba Corporation

Methodology

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