Artificial Intelligence in Infrastructure Market by Component (Hardware, Server Software), Technology (Deep Learning, Machine Learning), Function, Deployment, End-User - Global Forecast 2024-2030

Artificial Intelligence in Infrastructure Market by Component (Hardware, Server Software), Technology (Deep Learning, Machine Learning), Function, Deployment, End-User - Global Forecast 2024-2030


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.

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?


    Note: PDF & Excel + Online Access - 1 Year

  • 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
    FIGURE 1. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET RESEARCH PROCESS
    FIGURE 2. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, 2023 VS 2030
    FIGURE 3. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, 2018-2030 (USD MILLION)
    FIGURE 4. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY REGION, 2023 VS 2030 (%)
    FIGURE 5. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 6. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET DYNAMICS
    FIGURE 7. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
    FIGURE 8. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 9. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
    FIGURE 10. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 11. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY FUNCTION, 2023 VS 2030 (%)
    FIGURE 12. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY FUNCTION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 13. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
    FIGURE 14. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 15. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
    FIGURE 16. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
    FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 21. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 25. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET, FPNV POSITIONING MATRIX, 2023
    FIGURE 26. ARTIFICIAL INTELLIGENCE IN INFRASTRUCTURE MARKET SHARE, BY KEY PLAYER, 2023

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