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AI Infrastructure Market by Offering (Hardware, Software), Deployment (Cloud, Hybrid, On-Premise), End-User - Global Forecast 2023-2030

Publisher 360iResearch
Published Oct 05, 2023
Length 186 Pages
SKU # IRE18311367

Description

AI Infrastructure Market by Offering (Hardware, Software), Deployment (Cloud, Hybrid, On-Premise), End-User - Global Forecast 2023-2030


The AI Infrastructure Market is projected to reach USD 156.74 billion by 2030 from USD 27.65 billion in 2022, at a CAGR of 24.21% during the forecast period.

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the AI Infrastructure Market.
  • Based on Offering, market is studied across Hardware and Software. The Hardware is projected to witness significant market share during forecast period.
  • Based on Deployment, market is studied across Cloud, Hybrid, and On-Premise. The On-Premise is projected to witness significant market share during forecast period.
  • Based on End-User, market is studied across Finance, Healthcare, Manufacturing, Retail, and Transportation. The Retail is projected to witness significant market share during forecast period.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Europe, Middle East & Africa is projected to witness significant market share during forecast period.
Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the AI Infrastructure Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape AI Infrastructure Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the AI Infrastructure Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices Inc., Amazon Web Services, Inc., Cerebras Systems, Cisco Systems, Inc., Google LLC by Alphabet Inc., Graphcore, Groq, Habana Labs Ltd., Hailo, Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Lightmatter, Micron Technology Inc., Microsoft Corporation, Mythic, Nutanix, Inc., NVIDIA Corporation, OpenAI, Oracle Corporation, Pure Storage, Inc., SambaNova Systems, Samsung Electronics Co., Ltd., Synopsys Inc., and Toshiba Corporation.

The report offers valuable insights on the following aspects:
  1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
  2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
  3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
  4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
  5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
  1. What is the market size and forecast for the AI Infrastructure Market?
  2. Which products, segments, applications, and areas hold the highest investment potential in the AI Infrastructure Market?
  3. What is the competitive strategic window for identifying opportunities in the AI Infrastructure Market?
  4. What are the latest technology trends and regulatory frameworks in the AI Infrastructure Market?
  5. What is the market share of the leading vendors in the AI Infrastructure Market?
  6. Which modes and strategic moves are suitable for entering the AI Infrastructure Market?


Note: PDF & Excel + Online Access - 1 Year

Table of Contents

186 Pages
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. AI Infrastructure Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. High utilization of infrastructure as code in business enterprises
5.1.1.2. Government initiatives promoting smart manufacturing facilities
5.1.1.3. Rise of edge-to-cloud AI infrastructure
5.1.2. Restraints
5.1.2.1. High cost of AI infrastructure development and shortage of trained software professionals
5.1.3. Opportunities
5.1.3.1. Increasing investment in smart cities development
5.1.3.2. New technological integration in AI infrastructure
5.1.4. Challenges
5.1.4.1. Vulnerability to cyberattacks and data breaches
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of COVID-19
5.5. Cumulative Impact of Russia-Ukraine Conflict
5.6. Cumulative Impact of High Inflation
5.7. Porter’s Five Forces Analysis
5.7.1. Threat of New Entrants
5.7.2. Threat of Substitutes
5.7.3. Bargaining Power of Customers
5.7.4. Bargaining Power of Suppliers
5.7.5. Industry Rivalry
5.8. Value Chain & Critical Path Analysis
5.9. Regulatory Framework
5.10. Client Customization
6. AI Infrastructure Market, by Offering
6.1. Introduction
6.2. Hardware
6.3. Software
7. AI Infrastructure Market, by Deployment
7.1. Introduction
7.2. Cloud
7.3. Hybrid
7.4. On-Premise
8. AI Infrastructure Market, by End-User
8.1. Introduction
8.2. Finance
8.3. Healthcare
8.4. Manufacturing
8.5. Retail
8.6. Transportation
9. Americas AI Infrastructure Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific AI Infrastructure Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa AI Infrastructure Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player
13. Competitive Portfolio
13.1. Key Company Profiles
13.1.1. Advanced Micro Devices Inc.
13.1.2. Amazon Web Services, Inc.
13.1.3. Cerebras Systems
13.1.4. Cisco Systems, Inc.
13.1.5. Google LLC by Alphabet Inc.
13.1.6. Graphcore
13.1.7. Groq
13.1.8. Habana Labs Ltd.
13.1.9. Hailo
13.1.10. Hewlett Packard Enterprise Development LP
13.1.11. Intel Corporation
13.1.12. International Business Machines Corporation
13.1.13. Lightmatter
13.1.14. Micron Technology Inc.
13.1.15. Microsoft Corporation
13.1.16. Mythic
13.1.17. Nutanix, Inc.
13.1.18. NVIDIA Corporation
13.1.19. OpenAI
13.1.20. Oracle Corporation
13.1.21. Pure Storage, Inc.
13.1.22. SambaNova Systems
13.1.23. Samsung Electronics Co., Ltd.
13.1.24. Synopsys Inc.
13.1.25. Toshiba Corporation
13.2. Key Product Portfolio
14. Appendix
14.1. Discussion Guide
14.2. License & Pricing

Pricing

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