Artificial Intelligence in Infrastructure Market by Component (Hardware, Server Software), Technology (Deep Learning, Machine Learning), Function, Deployment, End-User - Global Forecast 2024-2030
Description
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
Deep Learning
Inference
On-Cloud
Cloud Service Provider
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- 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.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Intelligence in Infrastructure Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Infrastructure Market?
- What are the technology trends and regulatory frameworks in the Artificial Intelligence in Infrastructure Market?
- What is the market share of the leading vendors in the Artificial Intelligence in Infrastructure Market?
- Which modes and strategic moves are suitable for entering the Artificial Intelligence in Infrastructure Market?
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
182 Pages
- 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
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
