Artificial Intelligence in Infrastructure Market by Component, Technology, Function, Deployment, End-User

Description

List of Tables

[182 Pages Report] The Artificial Intelligence in Infrastructure Market size was estimated at USD 29.55 billion in 2023 and expected to reach USD 35.89 billion in 2024, at a CAGR 21.54% to reach USD 115.79 billion by 2030.

Global Artificial Intelligence in Infrastructure Market

KEY MARKET STATISTICS
Base Year [2023]	USD 29.55 billion
Estimated Year [2024]	USD 35.89 billion
Forecast Year [2030]	USD 115.79 billion
CAGR (%)	21.54%

Artificial Intelligence in Infrastructure Market - IMG1

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Infrastructure Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Infrastructure Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Infrastructure Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Amazon Web Services, Inc., Cadence Design Systems, Inc., Cisco Systems, Inc., Google LLC by Alphabet Inc., Hewlett-Packard Enterprise Company, Intel Corporation, International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Pure Storage, Inc., Samsung Electronics Co., Ltd., and Toshiba Corporation.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Infrastructure Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
- Hardware
  - Memory
  - Networking
  - Processor
  - Storage
- Server Software
Technology
- Deep Learning
- Machine Learning
Function
- Inference
- Training
Deployment
- On-Cloud
- On-Premise
End-User
- Cloud Service Provider
- Enterprize
- Government Organization
Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam
- Europe, Middle East & Africa
  - Denmark
  - Egypt
  - Finland
  - France
  - Germany
  - Israel
  - Italy
  - Netherlands
  - Nigeria
  - Norway
  - Poland
  - Qatar
  - Russia
  - Saudi Arabia
  - South Africa
  - Spain
  - Sweden
  - Switzerland
  - Turkey
  - United Arab Emirates
  - United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers 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 of the Artificial Intelligence in Infrastructure Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Infrastructure Market?

3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Infrastructure Market?

4. What is the market share of the leading vendors in the Artificial Intelligence in Infrastructure Market?

5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Infrastructure Market?

Product Code: MRR-031BF22F9496

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. Artificial Intelligence in Infrastructure Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Growing implementation of cloud machine learning platforms
  - 5.1.1.2. Demand for increasing volume of data generated in industries
  - 5.1.1.3. Application of AI in diverse sector such as healthcare, tourism, and finance
- 5.1.2. Restraints
  - 5.1.2.1. Dearth of multi-tenancy for domain experts
  - 5.1.2.2. Concerns of operational noise and alert fatigue
- 5.1.3. Opportunities
  - 5.1.3.1. Increasing adoption of robotics, big data and industrial automation in industries
  - 5.1.3.2. Rising research and development in AI from data centers and government
- 5.1.4. Challenges
  - 5.1.4.1. Chances of cyber security and privacy risks
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
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. Artificial Intelligence in Infrastructure Market, by Component

6.1. Introduction
6.2. Hardware
- 6.3.1. Memory
- 6.3.2. Networking
- 6.3.3. Processor
- 6.3.4. Storage
6.3. Server Software

7. Artificial Intelligence in Infrastructure Market, by Technology

7.1. Introduction
7.2. Deep Learning
7.3. Machine Learning

8. Artificial Intelligence in Infrastructure Market, by Function

8.1. Introduction
8.2. Inference
8.3. Training

9. Artificial Intelligence in Infrastructure Market, by Deployment

9.1. Introduction
9.2. On-Cloud
9.3. On-Premise

10. Artificial Intelligence in Infrastructure Market, by End-User

10.1. Introduction
10.2. Cloud Service Provider
10.3. Enterprize
10.4. Government Organization

11. Americas Artificial Intelligence in Infrastructure Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Artificial Intelligence in Infrastructure Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence in Infrastructure Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. FPNV Positioning Matrix
14.2. Market Share Analysis, By Key Player
14.3. Competitive Scenario Analysis, By Key Player

15. Competitive Portfolio

15.1. Key Company Profiles
- 15.1.1. Advanced Micro Devices, Inc.
- 15.1.2. Amazon Web Services, Inc.
- 15.1.3. Cadence Design Systems, Inc.
- 15.1.4. Cisco Systems, Inc.
- 15.1.5. Google LLC by Alphabet Inc.
- 15.1.6. Hewlett-Packard Enterprise Company
- 15.1.7. Intel Corporation
- 15.1.8. International Business Machines Corporation
- 15.1.9. Micron Technology, Inc.
- 15.1.10. Microsoft Corporation
- 15.1.11. NVIDIA Corporation
- 15.1.12. Oracle Corporation
- 15.1.13. Pure Storage, Inc.
- 15.1.14. Samsung Electronics Co., Ltd.
- 15.1.15. Toshiba Corporation
15.2. Key Product Portfolio

16. Appendix

16.1. Discussion Guide
16.2. License & Pricing