AI Infrastructure Market by Offering, Deployment, End-Users

List of Tables

The AI Infrastructure Market is projected to reach USD 165.40 billion by 2030 from USD 29.71 billion in 2022, at a CAGR of 23.93% during the forecast period.

Global AI Infrastructure Market

KEY MARKET STATISTICS
Base Year Value [2022]	USD 29.71 billion
Estimated Year Value [2023]	USD 36.52 billion
Forecast Year Value [2030]	USD 165.40 billion
CAGR (%)	23.93%

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, Services, and Software. The Hardware is further studied across CPU & GPU, Memory & Storage, and Networking Equipment. The Services is further studied across Data Ingestion & Integration, Data Preprocessing & Feature Engineering, Data Storage & Management, Machine Learning Frameworks & Libraries, Model Deployment & Serving, Model Training & Validation, Monitoring & Maintenance, and Security & Compliance. The Hardware commanded largest market share of 44.65% in 2022, followed by Software.

Based on Deployment, market is studied across On-Cloud and On-Premise. The On-Premise commanded largest market share of 74.16% in 2022, followed by On-Cloud.

Based on End-Users, market is studied across Cloud Service Providers, Enterprises, and Government. The Enterprises commanded largest market share of 53.76% in 2022, followed by Cloud Service Providers.

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 Americas commanded largest market share of 38.77% in 2022, followed by Europe, Middle East & Africa.

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 Accenture PLC, Advanced Micro Devices Inc., Amazon Web Services, Inc., Appinventiv Technology Pvt. Ltd., Cerebras Systems, Cisco Systems, Inc., DataRobot, Inc., Fortinet, Inc., G-Core Labs S.A., Google LLC by Alphabet Inc., Graphcore Limited, Groq, Inc., Hailo Technologies Ltd., Hewlett Packard Enterprise Development LP, Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Lenovo Group Limited, Lightmatter, Inc., Meta Platforms, Inc., Micron Technology Inc., Microsoft Corporation, Mythic, Inc., NEC Corporation, Nutanix, Inc., NVIDIA Corporation, OpenAI OpCo, LLC, Oracle Corporation, Pure Storage, Inc., Salesforce, Inc., SambaNova Systems, Inc, Samsung Electronics Co., Ltd., SAP SE, SenseTime Group Inc., Siemens AG, Sony Group Corporation, 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?

Product Code: MRR-B16853776AF6

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. Need for high-performance computing platforms to process large datasets
  - 5.1.1.2. Government initiatives promoting smart manufacturing and industry 4.0 facilities
  - 5.1.1.3. Rise of edge-to-cloud AI infrastructure worldwide
- 5.1.2. Restraints
  - 5.1.2.1. Complexity of designing, deploying, and maintaining AI infrastructure
- 5.1.3. Opportunities
  - 5.1.3.1. New technological integration and advancements in AI infrastructure
  - 5.1.3.2. Emerging 5G network deployment in AI infrastructure
- 5.1.4. Challenges
  - 5.1.4.1. Vulnerability to cyberattacks and data breaches
5.2. Market Segmentation Analysis
- 5.2.1. Offering: Innovative solution and services catering to specific needs of the AI ecosystem
- 5.2.2. Deployment: Increasing utilization of the cloud-based AI infrastructure focusing on the agility and swift deployment of AI-powered services
- 5.2.3. End-Users: Rising deployment of the AI infrastructure into the enterprises and Government entities
5.3. Market Trend Analysis
- 5.3.1. Strong presence of experienced AI infrastructure technology providers and research institutes with an enormous number of patent registrations in the Americas
- 5.3.2. Government initiatives and rising penetration of global tech vendors are shaping the future of AI infrastructure in the APAC region
- 5.3.3. Emphasized regulation and standards for AI deployment and advancing AI governance across EMEA
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. AI Infrastructure Market, by Offering

6.1. Introduction
6.2. Hardware
- 6.3.1. CPU & GPU
- 6.3.2. Memory & Storage
- 6.3.3. Networking Equipment
6.3. Services
- 6.4.1. Data Ingestion & Integration
- 6.4.2. Data Preprocessing & Feature Engineering
- 6.4.3. Data Storage & Management
- 6.4.4. Machine Learning Frameworks & Libraries
- 6.4.5. Model Deployment & Serving
- 6.4.6. Model Training & Validation
- 6.4.7. Monitoring & Maintenance
- 6.4.8. Security & Compliance
6.4. Software

7. AI Infrastructure Market, by Deployment

7.1. Introduction
7.2. On-Cloud
7.3. On-Premise

8. AI Infrastructure Market, by End-Users

8.1. Introduction
8.2. Cloud Service Providers
8.3. Enterprises
8.4. Government

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
- 12.3.1. Merger & Acquisition
  - 12.3.1.1. AMD to Acquire Open-Source AI Software Expert Nod.ai
  - 12.3.1.2. Hewlett Packard Enterprise acquires Pachyderm to expand AI-at-scale capabilities with reproducible AI
- 12.3.2. Agreement, Collaboration, & Partnership
  - 12.3.2.1. Saudi Arabia Partners with China to Create Arabic-based AI System
  - 12.3.2.2. Partnership to Launch UAE as the World's First AI Nation
  - 12.3.2.3. Jio Platforms Ties up with NVIDIA to Build Cloud-based AI Infrastructure
  - 12.3.2.4. Tata Partners With NVIDIA to Build Large-Scale AI Infrastructure
  - 12.3.2.5. Google Cloud and NVIDIA Expand Partnership to Advance AI Computing, Software and Services
  - 12.3.2.6. Contextual AI and Google Cloud Partner to Bring Generative AI to the Enterprise
- 12.3.3. New Product Launch & Enhancement
  - 12.3.3.1. SambaNova Unveils the SN40L, Powering its Full Stack AI Platform
  - 12.3.3.2. EY Announces Launch of Artificial Intelligence Platform EY.ai Following USD 1.4 Billion Investment
  - 12.3.3.3. Nutanix Simplifies Adoption of Generative AI with New Nutanix GPT-in-a-Box Solution
  - 12.3.3.4. VAST Data Launches Unified Data Platform for the Age of AI
- 12.3.4. Investment & Funding
  - 12.3.4.1. Lenovo to Invest USD 1 Billion over 3 Years on Expansion and Optimisation of AI Infrastructure
- 12.3.5. Award, Recognition, & Expansion
  - 12.3.5.1. Microsoft Expands UAE's G42 Partnership to Include Cloud, AI Tools
  - 12.3.5.2. AMD Announces Plan to Invest USD 135 Million to Expand Adaptive Computing Research, Development and Engineering Operations in Ireland

13. Competitive Portfolio

13.1. Key Company Profiles
- 13.1.1. Accenture PLC
- 13.1.2. Advanced Micro Devices Inc.
- 13.1.3. Amazon Web Services, Inc.
- 13.1.4. Appinventiv Technology Pvt. Ltd.
- 13.1.5. Cerebras Systems
- 13.1.6. Cisco Systems, Inc.
- 13.1.7. DataRobot, Inc.
- 13.1.8. Fortinet, Inc.
- 13.1.9. G-Core Labs S.A.
- 13.1.10. Google LLC by Alphabet Inc.
- 13.1.11. Graphcore Limited
- 13.1.12. Groq, Inc.
- 13.1.13. Hailo Technologies Ltd.
- 13.1.14. Hewlett Packard Enterprise Development LP
- 13.1.15. Huawei Technologies Co., Ltd.
- 13.1.16. Intel Corporation
- 13.1.17. International Business Machines Corporation
- 13.1.18. Lenovo Group Limited
- 13.1.19. Lightmatter, Inc.
- 13.1.20. Meta Platforms, Inc.
- 13.1.21. Micron Technology Inc.
- 13.1.22. Microsoft Corporation
- 13.1.23. Mythic, Inc.
- 13.1.24. NEC Corporation
- 13.1.25. Nutanix, Inc.
- 13.1.26. NVIDIA Corporation
- 13.1.27. OpenAI OpCo, LLC
- 13.1.28. Oracle Corporation
- 13.1.29. Pure Storage, Inc.
- 13.1.30. Salesforce, Inc.
- 13.1.31. SambaNova Systems, Inc
- 13.1.32. Samsung Electronics Co., Ltd.
- 13.1.33. SAP SE
- 13.1.34. SenseTime Group Inc.
- 13.1.35. Siemens AG
- 13.1.36. Sony Group Corporation
- 13.1.37. Synopsys Inc.
- 13.1.38. Toshiba Corporation
13.2. Key Product Portfolio

14. Appendix

14.1. Discussion Guide
14.2. License & Pricing