AI Infrastructure Market By Component, By Deployment Mode, By Technology, By End-Users (Enterprises, Governments, Cloud Service Providers ), By Application : Global Opportunity Analysis and Industry Forecast, 2021-2031

Description

List of Tables

AI infrastructure encompasses almost every stage of the machine learning workflow. It enables data scientist, data engineers, software engineers and DevOps teams to access and manage the computing resources to test, train and deploy AI algorithms. The world of corporate data becomes streamlined and well-optimized through AI infrastructure. Furthermore, proper AI infrastructure is required to train machine learning algorithms that run through databases and message queuing systems to provide data delivery flow.

Moreover, AI infrastructure is the key that enables the whole machine learning process from start to finish. With a proper AI infrastructure, data scientists, operators, and programmers can access the data, deploy machine learning algorithms, and manage the hardware's computing resources. It is the crucial tool that enables a particular workflow, then divide the workflow into steps. Furthermore, the technological renaissance is brought on by artificial intelligence. Data strategies can become sophisticated through AI infrastructure. Data manipulation and management works both ways. Artificial intelligence can make data strategies far more complex and intricate, and more sophisticated data strategies can improve the overall quality of artificial intelligence. Such advantageous provide lucrative opportunities for the market growth during the forecast period.

On the contrary, artificial intelligence-based technology has a widespread variety of applications ranging from self-driving cars to recommendation systems that are influencing many lifestyle choices. Such applications are empowering the growth of the AI infrastructure market.

Furthermore, AI infrastructure rapidly powers mobility information and insights, altering transportation planning by making vital data collection and understanding more accessible, faster, cheaper, and safer. Cities, transit agencies, transportation departments, and other entities increasingly turn to AI infrastructure to solve challenges, prioritize investments, and gain stakeholder support, thus providing lucrative opportunities for the market growth in the upcoming years. Furthermore, private, and public sectors are adopting AI infrastructure due to surge in demand for digitization. This factor creates lucrative growth opportunities in the market.

Factors such as rise in artificial intelligence maturity in the modern business enterprises and everyday lifestyle of people are signaling significant growth opportunities for the future of global market. In addition, surge in digital and internet penetration around the world is positively impacting the growth of the market. However, lack of trained AI experts and high implementation cost of AI-based technology hampers the market growth. On the contrary, increase in government initiatives and automation trends are expected to offer remunerative opportunities for expansion of the AI infrastructure industry during the forecast period.

The AI infrastructure market is segmented on the basis of component, deployment mode, technology, application, end user, and region. By component, it is divided into hardware, software and services. By deployment mode, it is classified into on-premise, hybrid and cloud. On the basis of technology, it is bifurcated into machine learning and deep learning. By application, the market is classified into AI training, inferencing and others. By end user, the market is categorized into enterprises, government and cloud service providers (CSPs). Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the AI infrastructure market include Alphabet Inc., Amazon.com, Inc., IBM Corporation, Intel Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Samsung and Toshiba Corporation. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the AI infrastructure market globally.

KEY BENEFITS FOR STAKEHOLDERS

The study provides an in-depth analysis of the global AI infrastructure market forecast along with the current and future trends to explain the imminent investment pockets.
Information about key drivers, restraints, and opportunities and their impact analysis on global AI infrastructure market trends is provided in the report.
The Porter's five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the global AI infrastructure market from 2022 to 2031 is provided to determine the market potential.

Key Market Segments

By Technology

Machine Learning
Deep Learning

By End-Users

Enterprises
Governments
Cloud Service Providers (CSPs)

By Application

AI Training
Inferencing
Others

By Component

Hardware
Software
Services

By Deployment Mode

On-Premise
Cloud
Hybrid

By Region

North America
- U.S.
- Canada
Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
LAMEA
- Latin America
- Middle East
- Africa
Key Market Players
- NVIDIA Corporation
- Microsoft Corporation
- Alphabet Inc.
- Intel Corporation
- Toshiba Corporation
- Micron Technology, Inc.
- Amazon.com, Inc.
- Oracle Corporation
- Samsung Electronics Co., Ltd.
- IBM Corporation

Product Code: A09353

CHAPTER 1:INTRODUCTION

1.1.Report description
1.2.Key market segments
1.3.Key benefits to the stakeholders
1.4.Research Methodology
- 1.4.1.Secondary research
- 1.4.2.Primary research
- 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.Key findings of the study
2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key findings
- 3.2.1.Top investment pockets
3.3.Porter's five forces analysis
3.4.Market dynamics
- 3.4.1.Drivers
  - 3.4.1.1. Rise in collaboration between industries and AI & ML solution.
  - 3.4.1.2. Increase in customer satisfaction and adoption of reliable cloud applications.
  - 3.4.1.3. Increase in investments in artificial intelligence (AI)-based systems.
- 3.4.2.Restraints
  - 3.4.2.1. Lack of skilled professionals.
  - 3.4.2.2. High cost of innovation and budget constraints.
- 3.4.3.Opportunities
  - 3.4.3.1. Rise in demand for AI software and hardware among enterprises.
3.5.COVID-19 Impact Analysis on the market

CHAPTER 4: AI INFRASTRUCTURE MARKET, BY COMPONENT

4.1 Overview
- 4.1.1 Market size and forecast
4.2. Hardware
- 4.2.1 Key market trends, growth factors and opportunities
- 4.2.2 Market size and forecast, by region
- 4.2.3 Market share analysis by country
4.3. Software
- 4.3.1 Key market trends, growth factors and opportunities
- 4.3.2 Market size and forecast, by region
- 4.3.3 Market share analysis by country
4.4. Services
- 4.4.1 Key market trends, growth factors and opportunities
- 4.4.2 Market size and forecast, by region
- 4.4.3 Market share analysis by country

CHAPTER 5: AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE

5.1 Overview
- 5.1.1 Market size and forecast
5.2. On-Premise
- 5.2.1 Key market trends, growth factors and opportunities
- 5.2.2 Market size and forecast, by region
- 5.2.3 Market share analysis by country
5.3. Cloud
- 5.3.1 Key market trends, growth factors and opportunities
- 5.3.2 Market size and forecast, by region
- 5.3.3 Market share analysis by country
5.4. Hybrid
- 5.4.1 Key market trends, growth factors and opportunities
- 5.4.2 Market size and forecast, by region
- 5.4.3 Market share analysis by country

CHAPTER 6: AI INFRASTRUCTURE MARKET, BY TECHNOLOGY

6.1 Overview
- 6.1.1 Market size and forecast
6.2. Machine Learning
- 6.2.1 Key market trends, growth factors and opportunities
- 6.2.2 Market size and forecast, by region
- 6.2.3 Market share analysis by country
6.3. Deep Learning
- 6.3.1 Key market trends, growth factors and opportunities
- 6.3.2 Market size and forecast, by region
- 6.3.3 Market share analysis by country

CHAPTER 7: AI INFRASTRUCTURE MARKET, BY END-USERS

7.1 Overview
- 7.1.1 Market size and forecast
7.2. Enterprises
- 7.2.1 Key market trends, growth factors and opportunities
- 7.2.2 Market size and forecast, by region
- 7.2.3 Market share analysis by country
7.3. Governments
- 7.3.1 Key market trends, growth factors and opportunities
- 7.3.2 Market size and forecast, by region
- 7.3.3 Market share analysis by country
7.4. Cloud Service Providers (CSPs)
- 7.4.1 Key market trends, growth factors and opportunities
- 7.4.2 Market size and forecast, by region
- 7.4.3 Market share analysis by country

CHAPTER 8: AI INFRASTRUCTURE MARKET, BY APPLICATION

8.1 Overview
- 8.1.1 Market size and forecast
8.2. AI Training
- 8.2.1 Key market trends, growth factors and opportunities
- 8.2.2 Market size and forecast, by region
- 8.2.3 Market share analysis by country
8.3. Inferencing
- 8.3.1 Key market trends, growth factors and opportunities
- 8.3.2 Market size and forecast, by region
- 8.3.3 Market share analysis by country
8.4. Others
- 8.4.1 Key market trends, growth factors and opportunities
- 8.4.2 Market size and forecast, by region
- 8.4.3 Market share analysis by country

CHAPTER 9: AI INFRASTRUCTURE MARKET, BY REGION

9.1 Overview
- 9.1.1 Market size and forecast
9.2 North America
- 9.2.1 Key trends and opportunities
- 9.2.2 North America Market size and forecast, by Component
- 9.2.3 North America Market size and forecast, by Deployment Mode
- 9.2.4 North America Market size and forecast, by Technology
- 9.2.5 North America Market size and forecast, by End-Users
- 9.2.6 North America Market size and forecast, by Application
- 9.2.7 North America Market size and forecast, by country
  - 9.2.7.1 U.S.
  - 9.2.7.1.1 Key market trends, growth factors and opportunities
  - 9.2.7.1.2 Market size and forecast, by Component
  - 9.2.7.1.3 Market size and forecast, by Deployment Mode
  - 9.2.7.1.4 Market size and forecast, by Technology
  - 9.2.7.1.5 Market size and forecast, by End-Users
  - 9.2.7.1.6 Market size and forecast, by Application
  - 9.2.7.2 Canada
  - 9.2.7.2.1 Key market trends, growth factors and opportunities
  - 9.2.7.2.2 Market size and forecast, by Component
  - 9.2.7.2.3 Market size and forecast, by Deployment Mode
  - 9.2.7.2.4 Market size and forecast, by Technology
  - 9.2.7.2.5 Market size and forecast, by End-Users
  - 9.2.7.2.6 Market size and forecast, by Application
9.3 Europe
- 9.3.1 Key trends and opportunities
- 9.3.2 Europe Market size and forecast, by Component
- 9.3.3 Europe Market size and forecast, by Deployment Mode
- 9.3.4 Europe Market size and forecast, by Technology
- 9.3.5 Europe Market size and forecast, by End-Users
- 9.3.6 Europe Market size and forecast, by Application
- 9.3.7 Europe Market size and forecast, by country
  - 9.3.7.1 UK
  - 9.3.7.1.1 Key market trends, growth factors and opportunities
  - 9.3.7.1.2 Market size and forecast, by Component
  - 9.3.7.1.3 Market size and forecast, by Deployment Mode
  - 9.3.7.1.4 Market size and forecast, by Technology
  - 9.3.7.1.5 Market size and forecast, by End-Users
  - 9.3.7.1.6 Market size and forecast, by Application
  - 9.3.7.2 Germany
  - 9.3.7.2.1 Key market trends, growth factors and opportunities
  - 9.3.7.2.2 Market size and forecast, by Component
  - 9.3.7.2.3 Market size and forecast, by Deployment Mode
  - 9.3.7.2.4 Market size and forecast, by Technology
  - 9.3.7.2.5 Market size and forecast, by End-Users
  - 9.3.7.2.6 Market size and forecast, by Application
  - 9.3.7.3 France
  - 9.3.7.3.1 Key market trends, growth factors and opportunities
  - 9.3.7.3.2 Market size and forecast, by Component
  - 9.3.7.3.3 Market size and forecast, by Deployment Mode
  - 9.3.7.3.4 Market size and forecast, by Technology
  - 9.3.7.3.5 Market size and forecast, by End-Users
  - 9.3.7.3.6 Market size and forecast, by Application
  - 9.3.7.4 Italy
  - 9.3.7.4.1 Key market trends, growth factors and opportunities
  - 9.3.7.4.2 Market size and forecast, by Component
  - 9.3.7.4.3 Market size and forecast, by Deployment Mode
  - 9.3.7.4.4 Market size and forecast, by Technology
  - 9.3.7.4.5 Market size and forecast, by End-Users
  - 9.3.7.4.6 Market size and forecast, by Application
  - 9.3.7.5 Spain
  - 9.3.7.5.1 Key market trends, growth factors and opportunities
  - 9.3.7.5.2 Market size and forecast, by Component
  - 9.3.7.5.3 Market size and forecast, by Deployment Mode
  - 9.3.7.5.4 Market size and forecast, by Technology
  - 9.3.7.5.5 Market size and forecast, by End-Users
  - 9.3.7.5.6 Market size and forecast, by Application
  - 9.3.7.6 Rest of Europe
  - 9.3.7.6.1 Key market trends, growth factors and opportunities
  - 9.3.7.6.2 Market size and forecast, by Component
  - 9.3.7.6.3 Market size and forecast, by Deployment Mode
  - 9.3.7.6.4 Market size and forecast, by Technology
  - 9.3.7.6.5 Market size and forecast, by End-Users
  - 9.3.7.6.6 Market size and forecast, by Application
9.4 Asia-Pacific
- 9.4.1 Key trends and opportunities
- 9.4.2 Asia-Pacific Market size and forecast, by Component
- 9.4.3 Asia-Pacific Market size and forecast, by Deployment Mode
- 9.4.4 Asia-Pacific Market size and forecast, by Technology
- 9.4.5 Asia-Pacific Market size and forecast, by End-Users
- 9.4.6 Asia-Pacific Market size and forecast, by Application
- 9.4.7 Asia-Pacific Market size and forecast, by country
  - 9.4.7.1 China
  - 9.4.7.1.1 Key market trends, growth factors and opportunities
  - 9.4.7.1.2 Market size and forecast, by Component
  - 9.4.7.1.3 Market size and forecast, by Deployment Mode
  - 9.4.7.1.4 Market size and forecast, by Technology
  - 9.4.7.1.5 Market size and forecast, by End-Users
  - 9.4.7.1.6 Market size and forecast, by Application
  - 9.4.7.2 Japan
  - 9.4.7.2.1 Key market trends, growth factors and opportunities
  - 9.4.7.2.2 Market size and forecast, by Component
  - 9.4.7.2.3 Market size and forecast, by Deployment Mode
  - 9.4.7.2.4 Market size and forecast, by Technology
  - 9.4.7.2.5 Market size and forecast, by End-Users
  - 9.4.7.2.6 Market size and forecast, by Application
  - 9.4.7.3 India
  - 9.4.7.3.1 Key market trends, growth factors and opportunities
  - 9.4.7.3.2 Market size and forecast, by Component
  - 9.4.7.3.3 Market size and forecast, by Deployment Mode
  - 9.4.7.3.4 Market size and forecast, by Technology
  - 9.4.7.3.5 Market size and forecast, by End-Users
  - 9.4.7.3.6 Market size and forecast, by Application
  - 9.4.7.4 Australia
  - 9.4.7.4.1 Key market trends, growth factors and opportunities
  - 9.4.7.4.2 Market size and forecast, by Component
  - 9.4.7.4.3 Market size and forecast, by Deployment Mode
  - 9.4.7.4.4 Market size and forecast, by Technology
  - 9.4.7.4.5 Market size and forecast, by End-Users
  - 9.4.7.4.6 Market size and forecast, by Application
  - 9.4.7.5 South Korea
  - 9.4.7.5.1 Key market trends, growth factors and opportunities
  - 9.4.7.5.2 Market size and forecast, by Component
  - 9.4.7.5.3 Market size and forecast, by Deployment Mode
  - 9.4.7.5.4 Market size and forecast, by Technology
  - 9.4.7.5.5 Market size and forecast, by End-Users
  - 9.4.7.5.6 Market size and forecast, by Application
  - 9.4.7.6 Rest of Asia-Pacific
  - 9.4.7.6.1 Key market trends, growth factors and opportunities
  - 9.4.7.6.2 Market size and forecast, by Component
  - 9.4.7.6.3 Market size and forecast, by Deployment Mode
  - 9.4.7.6.4 Market size and forecast, by Technology
  - 9.4.7.6.5 Market size and forecast, by End-Users
  - 9.4.7.6.6 Market size and forecast, by Application
9.5 LAMEA
- 9.5.1 Key trends and opportunities
- 9.5.2 LAMEA Market size and forecast, by Component
- 9.5.3 LAMEA Market size and forecast, by Deployment Mode
- 9.5.4 LAMEA Market size and forecast, by Technology
- 9.5.5 LAMEA Market size and forecast, by End-Users
- 9.5.6 LAMEA Market size and forecast, by Application
- 9.5.7 LAMEA Market size and forecast, by country
  - 9.5.7.1 Latin America
  - 9.5.7.1.1 Key market trends, growth factors and opportunities
  - 9.5.7.1.2 Market size and forecast, by Component
  - 9.5.7.1.3 Market size and forecast, by Deployment Mode
  - 9.5.7.1.4 Market size and forecast, by Technology
  - 9.5.7.1.5 Market size and forecast, by End-Users
  - 9.5.7.1.6 Market size and forecast, by Application
  - 9.5.7.2 Middle East
  - 9.5.7.2.1 Key market trends, growth factors and opportunities
  - 9.5.7.2.2 Market size and forecast, by Component
  - 9.5.7.2.3 Market size and forecast, by Deployment Mode
  - 9.5.7.2.4 Market size and forecast, by Technology
  - 9.5.7.2.5 Market size and forecast, by End-Users
  - 9.5.7.2.6 Market size and forecast, by Application
  - 9.5.7.3 Africa
  - 9.5.7.3.1 Key market trends, growth factors and opportunities
  - 9.5.7.3.2 Market size and forecast, by Component
  - 9.5.7.3.3 Market size and forecast, by Deployment Mode
  - 9.5.7.3.4 Market size and forecast, by Technology
  - 9.5.7.3.5 Market size and forecast, by End-Users
  - 9.5.7.3.6 Market size and forecast, by Application

CHAPTER 10: COMPETITIVE LANDSCAPE

10.1. Introduction
10.2. Top winning strategies
10.3. Product Mapping of Top 10 Player
10.4. Competitive Dashboard
10.5. Competitive Heatmap
10.6. Top player positioning, 2021

CHAPTER 11: COMPANY PROFILES

11.1 NVIDIA Corporation
- 11.1.1 Company overview
- 11.1.2 Key Executives
- 11.1.3 Company snapshot
- 11.1.4 Operating business segments
- 11.1.5 Product portfolio
- 11.1.6 Business performance
- 11.1.7 Key strategic moves and developments
11.2 Microsoft Corporation
- 11.2.1 Company overview
- 11.2.2 Key Executives
- 11.2.3 Company snapshot
- 11.2.4 Operating business segments
- 11.2.5 Product portfolio
- 11.2.6 Business performance
- 11.2.7 Key strategic moves and developments
11.3 Alphabet Inc.
- 11.3.1 Company overview
- 11.3.2 Key Executives
- 11.3.3 Company snapshot
- 11.3.4 Operating business segments
- 11.3.5 Product portfolio
- 11.3.6 Business performance
- 11.3.7 Key strategic moves and developments
11.4 Intel Corporation
- 11.4.1 Company overview
- 11.4.2 Key Executives
- 11.4.3 Company snapshot
- 11.4.4 Operating business segments
- 11.4.5 Product portfolio
- 11.4.6 Business performance
- 11.4.7 Key strategic moves and developments
11.5 Toshiba Corporation
- 11.5.1 Company overview
- 11.5.2 Key Executives
- 11.5.3 Company snapshot
- 11.5.4 Operating business segments
- 11.5.5 Product portfolio
- 11.5.6 Business performance
- 11.5.7 Key strategic moves and developments
11.6 Micron Technology, Inc.
- 11.6.1 Company overview
- 11.6.2 Key Executives
- 11.6.3 Company snapshot
- 11.6.4 Operating business segments
- 11.6.5 Product portfolio
- 11.6.6 Business performance
- 11.6.7 Key strategic moves and developments
11.7 Amazon.com, Inc.
- 11.7.1 Company overview
- 11.7.2 Key Executives
- 11.7.3 Company snapshot
- 11.7.4 Operating business segments
- 11.7.5 Product portfolio
- 11.7.6 Business performance
- 11.7.7 Key strategic moves and developments
11.8 Oracle Corporation
- 11.8.1 Company overview
- 11.8.2 Key Executives
- 11.8.3 Company snapshot
- 11.8.4 Operating business segments
- 11.8.5 Product portfolio
- 11.8.6 Business performance
- 11.8.7 Key strategic moves and developments
11.9 Samsung Electronics Co., Ltd.
- 11.9.1 Company overview
- 11.9.2 Key Executives
- 11.9.3 Company snapshot
- 11.9.4 Operating business segments
- 11.9.5 Product portfolio
- 11.9.6 Business performance
- 11.9.7 Key strategic moves and developments
11.10 IBM Corporation
- 11.10.1 Company overview
- 11.10.2 Key Executives
- 11.10.3 Company snapshot
- 11.10.4 Operating business segments
- 11.10.5 Product portfolio
- 11.10.6 Business performance
- 11.10.7 Key strategic moves and developments