Global AI Infrastructure Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

Description

List of Tables

The global demand for AI Infrastructure Market is presumed to reach the market size of nearly USD 564.3 Billion by 2032 from USD 58.05 Billion in 2023 with a CAGR of 28.75% under the study period 2024-2032.

AI infrastructure refers to a technology stack necessary to get AI algorithms into production in a stable, scalable, and reliable way. It denotes a system that can learn by itself the relationships between the various components, recognize data patterns and the context, and react and function accordingly. AI infrastructure includes multiple elements like the network, the hardware, the software, etc. It enables data engineers, software engineers, data scientists, and DevOps teams to access and cope with computing resources to test, train, and deploy AI algorithms.

MARKET DYNAMICS

The global AI infrastructure market is projected to grow at a double-digit rate during the forecast period. Increasing adoption of cloud machine learning platforms, growing data traffic and need for high computing, rising large and complex dataset, and a growing number of cross-industry collaborations are the key factors steering the AI infrastructure market. AI in recent times has become an inextricable part of IT due to its unparalleled efficiency and highly productive results. The global AI infrastructure market is estimated to grow exponentially as AI capabilities rapidly evolve, and infrastructure is vital to scale from experimentation to implementation. However, AI is a complex system. It requires experts and a skilled workforce for developing, managing, and implementing AI systems. Lack of AI experts and a skilled workforce is likely to hinder the market growth.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of AI Infrastructure. The growth and trends of AI Infrastructure industry provide a holistic approach to this study.

Market Segmentation

This section of the AI Infrastructure market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By End-User

Private Enterprises
Cloud Solution Providers
Government Firms

By Component

Hardware
Software

By Deployment Mode

On-Premise
Cloud

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Global AI Infrastructure Market Report market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI Infrastructure market include Micron Technology, Advanced Micro Devices, Samsung Electronics, Amazon Web Services, CISCO System, NVIDIA Corporation, Google LLC, Microsoft Corporation, IBM Corporation, Intel Corporation, Xilinx. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR11215655

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. AI INFRASTRUCTURE - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By End-User
- 3.7.2 Market Attractiveness Analysis By Component
- 3.7.3 Market Attractiveness Analysis By Deployment Mode
- 3.7.4 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY END-USER

5.1. Overview By End-User
5.2. Historical and Forecast Data Analysis By End-User
5.3. Private Enterprises Historic and Forecast Sales By Regions
5.4. Cloud Solution Providers Historic and Forecast Sales By Regions
5.5. Government Firms Historic and Forecast Sales By Regions

6. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY COMPONENT

6.1. Overview By Component
6.2. Historical and Forecast Data Analysis By Component
6.3. Hardware Historic and Forecast Sales By Regions
6.4. Software Historic and Forecast Sales By Regions

7. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY DEPLOYMENT MODE

7.1. Overview By Deployment Mode
7.2. Historical and Forecast Data Analysis By Deployment Mode
7.3. On-Premise Historic and Forecast Sales By Regions
7.4. Cloud Historic and Forecast Sales By Regions

8. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY GEOGRAPHY

8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
- 8.3.1 Overview, Historic and Forecast Data Sales Analysis
- 8.3.2 North America By Segment Sales Analysis
- 8.3.3 North America By Country Sales Analysis
- 8.3.4 United States Sales Analysis
- 8.3.5 Canada Sales Analysis
- 8.3.6 Mexico Sales Analysis
8.4. Europe Sales Analysis
- 8.4.1 Overview, Historic and Forecast Data Sales Analysis
- 8.4.2 Europe By Segment Sales Analysis
- 8.4.3 Europe By Country Sales Analysis
- 8.4.4 United Kingdom Sales Analysis
- 8.4.5 France Sales Analysis
- 8.4.6 Germany Sales Analysis
- 8.4.7 Italy Sales Analysis
- 8.4.8 Russia Sales Analysis
- 8.4.9 Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
- 8.5.1 Overview, Historic and Forecast Data Sales Analysis
- 8.5.2 Asia Pacific By Segment Sales Analysis
- 8.5.3 Asia Pacific By Country Sales Analysis
- 8.5.4 China Sales Analysis
- 8.5.5 India Sales Analysis
- 8.5.6 Japan Sales Analysis
- 8.5.7 South Korea Sales Analysis
- 8.5.8 Australia Sales Analysis
- 8.5.9 South East Asia Sales Analysis
- 8.5.10 Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
- 8.6.1 Overview, Historic and Forecast Data Sales Analysis
- 8.6.2 Latin America By Segment Sales Analysis
- 8.6.3 Latin America By Country Sales Analysis
- 8.6.4 Brazil Sales Analysis
- 8.6.5 Argentina Sales Analysis
- 8.6.6 Peru Sales Analysis
- 8.6.7 Chile Sales Analysis
- 8.6.8 Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
- 8.7.1 Overview, Historic and Forecast Data Sales Analysis
- 8.7.2 Middle East & Africa By Segment Sales Analysis
- 8.7.3 Middle East & Africa By Country Sales Analysis
- 8.7.4 Saudi Arabia Sales Analysis
- 8.7.5 UAE Sales Analysis
- 8.7.6 Israel Sales Analysis
- 8.7.7 South Africa Sales Analysis
- 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE AI INFRASTRUCTURE COMPANIES

9.1. AI Infrastructure Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments

10. COMPANY PROFILES OF AI INFRASTRUCTURE INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. Micron Technology
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. Advanced Micro Devices
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. Samsung Electronics
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. Amazon Web Services
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. CISCO System
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. NVIDIA Corporation
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. Google LLC
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. Microsoft Corporation
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. IBM Corporation
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. Intel Corporation
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments
10.13. Xilinx
- 10.13.1 Company Overview
- 10.13.2 Company Revenue
- 10.13.3 Products
- 10.13.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies