Product Code: GVR-4-68040-269-5
AI Infrastructure Market Growth & Trends:
The global AI infrastructure market is anticipated to reach USD 223.45 billion by 2030 and is projected to grow at a CAGR of 30.4% from 2024 to 2030, according to a new report by Grand View Research, Inc. Artificial intelligence is undergoing a significant transformation fueled by the rapid market growth. AI infrastructure provides the essential resources businesses need to leverage the true power of artificial intelligence.
The surging demand for generative AI necessitates robust infrastructure to handle complex computations. Businesses can develop and deploy AI models faster, accelerating their ability to bring AI-powered solutions to market. Cloud-based solutions eliminate the need for expensive on-premise hardware management, freeing up resources for core AI development. In addition, continuous advancements in AI technologies, particularly in deep learning and neural networks, are expanding the capabilities of AI systems, making them more sophisticated and impactful. Such factors are further driving the market growth.
AI Infrastructure Market Report Highlights:
- Based on components, the hardware segment held the market with the largest revenue share of 63.0% in 2023. The increasing demand for specialized chips and processors to compute complex algorithms drives the segment growth. With the rise in AI in systems, more powerful chips are required to process the data. The chips help reduce energy consumption and increase performance
- Based on technology, the machine learning segment held the market with the largest revenue share of 58.4% in 2023. Increasing data, advancements in algorithm models, and the rise in cloud computing drive the market growth. Machine learning helps AI systems automatically learn and improve from experience without the need for programming. It's used in AI infrastructure to handle complex patterns in large databases
- Based on application, the training segment led the market with the largest revenue share of 71.4% in 2023. Training helps develop models specialized in specific tasks such as language translation, voice recognition, or anomaly detection in network traffic
- Based on deployment, the on-premise segment held the market with the largest revenue share of 50.0% in 2023. This is due to the increasing demand for low-latency data transfer, reduced operational costs, and customized AI infrastructure solutions. With on-premise infrastructure deployment, organizations can customize the setup based on their requirements. On-premise deployment offers control over data security.
- Based on end-user, the enterprise segment is expected to grow at the fastest CAGR over the forecast period. The increasing digital transformation of businesses and the increasing complexity of data are expected to drive market growth. Enterprises use AI infrastructure for data management, storage, and processing; they also need AI infrastructure for operational efficiency
- North America dominated the market with the revenue share of 38.4% in 2023. North America is home to many of the world's leading tech companies, such as Google, Amazon, Microsoft, and IBM, which offer cloud-based services
- The U.S. accounted for the largest market share in 2023. The U.S. is home to leading technology companies and startups at the forefront of AI, machine learning, and computing hardware innovations, creating a strong ecosystem for AI research and development and necessitating robust AI infrastructure
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Segment Definitions
- 1.2.1. Component
- 1.2.2. Technology
- 1.2.3. Application
- 1.2.4. Deployment
- 1.2.5. End-user
- 1.2.6. Regional Scope
- 1.2.7. Estimates and forecasts timeline
- 1.3. Research Methodology
- 1.4. Information Procurement
- 1.4.1. Information Procurement
- 1.4.2. Information or Data Analysis
- 1.4.3. Market Formulation & Data Visualization
- 1.4.4. Data Validation & Publishing
- 1.5. Research Scope and Assumptions
- 1.5.1. List of Data Sources
Chapter 2. Executive Summary
- 2.1. Market Snapshot
- 2.2. Segment Snapshot
- 2.2.1. Component Outlook
- 2.2.2. Technology Outlook
- 2.2.3. Application Outlook
- 2.2.4. Deployment Outlook
- 2.2.5. End-user Outlook
- 2.3. Competitive Landscape Snapshot
Chapter 3. AI Infrastructure Market Variables, Trends & Scope
- 3.1. Market Introduction/Lineage Outlook
- 3.2. Market Size and Growth Prospects (USD Million)
- 3.3. Industry Value Chain Analysis
- 3.4. Market Dynamics
- 3.4.1. Market Driver Analysis
- 3.4.2. Market Restraint Analysis
- 3.4.3. Industry Challenges
- 3.4.4. Industry Opportunities
- 3.5. AI Infrastructure Market Analysis Tools
- 3.5.1. Porter's Analysis
- 3.5.1.1. Bargaining power of the suppliers
- 3.5.1.2. Bargaining power of the buyers
- 3.5.1.3. Threats of substitution
- 3.5.1.4. Threats from new entrants
- 3.5.1.5. Competitive rivalry
- 3.5.2. PESTEL Analysis
- 3.5.2.1. Political landscape
- 3.5.2.2. Economic and Social landscape
- 3.5.2.3. Technological landscape
- 3.5.2.4. Environmental landscape
- 3.5.2.5. Legal landscape
Chapter 4. AI Infrastructure Market: Component Estimates & Trend Analysis
- 4.1. Component Movement Analysis & Market Share, 2023 & 2030
- 4.2. AI Infrastructure Market Estimates & Forecast, By Component, 2018 to 2030 (USD Million)
- 4.3. Hardware
- 4.3.1. Hardware Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 4.4. Software
- 4.4.1. Software Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 4.5. Services
- 4.5.1. Services Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 5. AI Infrastructure Market: Technology Estimates & Trend Analysis
- 5.1. Technology Movement Analysis & Market Share, 2023 & 2030
- 5.2. AI Infrastructure Market Estimates & Forecast, By Technology, 2018 to 2030 (USD Million)
- 5.3. Machine Learning
- 5.3.1. Machine Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 5.4. Deep Learning
- 5.4.1. Deep Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 6. AI Infrastructure Market: Application Estimates & Trend Analysis
- 6.1. Application Movement Analysis & Market Share, 2023 & 2030
- 6.2. AI Infrastructure Market Estimates & Forecast, By Application, 2018 to 2030 (USD Million)
- 6.3. Training
- 6.3.1. Training Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.4. Inference
- 6.4.1. Inference Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 7. AI Infrastructure Market: Deployment Estimates & Trend Analysis
- 7.1. Deployment Movement Analysis & Market Share, 2023 & 2030
- 7.2. AI Infrastructure Market Estimates & Forecast, By Deployment, 2018 to 2030 (USD Million)
- 7.3. On-Premise
- 7.3.1. On-Premise Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4. Cloud
- 7.4.1. Cloud Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.5. Hybrid
- 7.5.1. Hybrid Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 8. AI Infrastructure Market: End-user Estimates & Trend Analysis
- 8.1. End-user Movement Analysis & Market Share, 2023 & 2030
- 8.2. AI Infrastructure Market Estimates & Forecast, By End-user, 2018 to 2030 (USD Million)
- 8.3. Enterprises
- 8.3.1. Enterprises Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4. Government Organizations
- 8.4.1. Government Organizations Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.5. Cloud Service Providers (CSPs)
- 8.5.1. Cloud Service Providers (CSPs) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 9. AI Infrastructure Market: Regional Estimates & Trend Analysis
- 9.1. AI Infrastructure Market Share, By Region, 2023 & 2030, USD Billion
- 9.2. North America
- 9.2.1. North America AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.2.2. U.S.
- 9.2.2.1. U.S. AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.2.3. Canada
- 9.2.3.1. Canada AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3. Europe
- 9.3.1. Europe AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3.2. UK
- 9.3.2.1. UK AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3.3. Germany
- 9.3.3.1. Germany AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3.4. France
- 9.3.4.1. France AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4. Asia Pacific
- 9.4.1. Asia Pacific AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.2. China
- 9.4.2.1. China AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.3. Japan
- 9.4.3.1. Japan AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.4. India
- 9.4.4.1. India AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.5. South Korea
- 9.4.5.1. South Korea AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.6. Australia
- 9.4.6.1. Australia AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.5. Latin America
- 9.5.1. Latin America AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.5.2. Brazil
- 9.5.2.1. Brazil AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.5.3. Mexico
- 9.5.3.1. Mexico AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6. Middle East and Africa
- 9.6.1. Middle East and Africa AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6.2. Kingdom of Saudi Arabia (KSA)
- 9.6.2.1. Kingdom of Saudi Arabia (KSA) AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6.3. UAE
- 9.6.3.1. UAE AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6.4. South Africa
- 9.6.4.1. South Africa AI Infrastructure Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 10. AI Infrastructure Market- Competitive Landscape
- 10.1. Recent Developments & Impact Analysis, By Key Market Participants
- 10.2. Company Categorization
- 10.3. Company Market Share/Position Analysis, 2023
- 10.4. Company Heat Map Analysis
- 10.5. Strategy Mapping
- 10.6. Company Profiles
- 10.7. Google LLC
- 10.7.1. Participant's overview
- 10.7.2. Financial performance
- 10.7.3. Product benchmarking
- 10.7.4. Recent developments
- 10.8. Nvidia Corporation
- 10.8.1. Participant's overview
- 10.8.2. Financial performance
- 10.8.3. Product benchmarking
- 10.8.4. Recent developments
- 10.9. AIBrain
- 10.9.1. Participant's overview
- 10.9.2. Financial performance
- 10.9.3. Product benchmarking
- 10.9.4. Recent developments
- 10.10. IBM
- 10.10.1. Participant's overview
- 10.10.2. Financial performance
- 10.10.3. Product benchmarking
- 10.10.4. Recent developments
- 10.11. Microsoft
- 10.11.1. Participant's overview
- 10.11.2. Financial performance
- 10.11.3. Product benchmarking
- 10.11.4. Recent developments
- 10.12. ConcertAI
- 10.12.1. Participant's overview
- 10.12.2. Financial performance
- 10.12.3. Product benchmarking
- 10.12.4. Recent developments
- 10.13. Oracle
- 10.13.1. Participant's overview
- 10.13.2. Financial performance
- 10.13.3. Product benchmarking
- 10.13.4. Recent developments
- 10.14. Salesforce, Inc.
- 10.14.1. Participant's overview
- 10.14.2. Financial performance
- 10.14.3. Product benchmarking
- 10.14.4. Recent developments
- 10.15. Amazon.com Inc
- 10.15.1. Participant's overview
- 10.15.2. Financial performance
- 10.15.3. Product benchmarking
- 10.15.4. Recent developments
- 10.16. Alibaba Cloud
- 10.16.1. Participant's overview
- 10.16.2. Financial performance
- 10.16.3. Product benchmarking
- 10.16.4. Recent developments