According to the report, the global AI infrastructure market is projected to grow at a CAGR of 23.8% between 2024 and 2032 reaching a value of approximate USD 147.49 billion by 2032. Aided by the surge in demand for advanced computing capabilities and the expanding horizons of AI applications across diverse sectors, the market is expected to grow significantly by 2032.
AI infrastructure refers to the foundational hardware and software frameworks that facilitate the development and deployment of artificial intelligence models. It encompasses everything from high-performance GPUs, data storage solutions, and servers, to software platforms and networking capabilities. This infrastructure is essential for training deep learning models, processing massive datasets, and ensuring the seamless operation of AI applications in real-time scenarios.
A dominant force shaping the global AI infrastructure market outlook is the exponential rise in data generation. Industries are generating more data than ever before, and processing this data efficiently requires robust AI infrastructure. This, in turn, has instigated companies from finance, healthcare, retail, and other sectors to invest heavily in building and upgrading their AI infrastructure.
Moreover, the relentless quest for automation across diverse sectors is further buoying the AI infrastructure market growth. AI, with its promise of automating complex tasks, enhancing decision-making processes, and offering personalised user experiences, is being seen as the cornerstone of the next industrial revolution. For instance, in the healthcare domain, AI is utilised for diagnostic processes, treatment recommendation, and patient management, all of which demand a robust infrastructure to function effectively.
Additionally, the continuous evolution in the AI landscape, with newer models and algorithms, necessitates more advanced infrastructure. Deep learning models, particularly, require substantial computational power, highlighting the imperative nature of robust AI infrastructure.
The proliferation of IoT devices, another significant technological wave, intertwines intricately with AI, and its rise further fuels the AI infrastructure market expansion. Devices, ranging from smart thermostats to industrial sensors, generate vast amounts of data. AI, when integrated with these devices, can analyse and act upon this data in real-time, enabling smarter and more responsive systems.
GPU
FPGA
ASIC
AI infrastructure refers to the foundational hardware and software frameworks that facilitate the development and deployment of artificial intelligence models. It encompasses everything from high-performance GPUs, data storage solutions, and servers, to software platforms and networking capabilities. This infrastructure is essential for training deep learning models, processing massive datasets, and ensuring the seamless operation of AI applications in real-time scenarios.
A dominant force shaping the global AI infrastructure market outlook is the exponential rise in data generation. Industries are generating more data than ever before, and processing this data efficiently requires robust AI infrastructure. This, in turn, has instigated companies from finance, healthcare, retail, and other sectors to invest heavily in building and upgrading their AI infrastructure.
Moreover, the relentless quest for automation across diverse sectors is further buoying the AI infrastructure market growth. AI, with its promise of automating complex tasks, enhancing decision-making processes, and offering personalised user experiences, is being seen as the cornerstone of the next industrial revolution. For instance, in the healthcare domain, AI is utilised for diagnostic processes, treatment recommendation, and patient management, all of which demand a robust infrastructure to function effectively.
Additionally, the continuous evolution in the AI landscape, with newer models and algorithms, necessitates more advanced infrastructure. Deep learning models, particularly, require substantial computational power, highlighting the imperative nature of robust AI infrastructure.
The proliferation of IoT devices, another significant technological wave, intertwines intricately with AI, and its rise further fuels the AI infrastructure market expansion. Devices, ranging from smart thermostats to industrial sensors, generate vast amounts of data. AI, when integrated with these devices, can analyse and act upon this data in real-time, enabling smarter and more responsive systems.
Market Segmentation
The market can be divided based on type, technology, deployment, function, end use, and region.Market Breakup by Type
- Hardware
- Processor
GPU
FPGA
ASIC
- Memory
- Storage
- Networking
- Server Software
Market Breakup by Technology
- Machine Learning
- Deep Learning
Market Breakup by Deployment
- On Premise
- Cloud
- Hybrid
Market Breakup by Function
- Training
- Inference
Market Breakup by End Use
- Enterprises
- Government Organisations
- Cloud Service Providers
Market Breakup by Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Competitive Landscape
The report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the global AI infrastructure market. Some of the major players explored in the report are as follows:- Intel Corporation (NASDAQ: INTC)
- Nvidia Corporation (NASDAQ: NVDA)
- Google LLC
- Microsoft Corporation (NASDAQ: MSFT)
- Cisco Systems, Inc. (NASDAQ: CSCO)
- Amazon Web Services, Inc.
- International Business Machines Corporation (NYSE: IBM)
- Arm Limited
- Others
Table of Contents
1 Preface2 Report Coverage - Key Segmentation and Scope4 Key Assumptions7 Opportunities and Challenges in the Market16 Key Trends and Developments in the Market
3 Report Description
5 Executive Summary
6 Snapshot
8 Global AI Infrastructure Market Analysis
9 North America AI Infrastructure Market Analysis
10 Europe AI Infrastructure Market Analysis
11 Asia Pacific AI Infrastructure Market Analysis
12 Latin America AI Infrastructure Market Analysis
13 Middle East and Africa AI Infrastructure Market Analysis
14 Market Dynamics
15 Competitive Landscape
List of Key Figures and Tables
Companies Mentioned
- Intel Corporation (NASDAQ: INTC)
- Nvidia Corporation (NASDAQ: NVDA)
- Google LLC
- Microsoft Corporation (NASDAQ: MSFT)
- Cisco Systems Inc. (NASDAQ: CSCO)
- Amazon Web Services Inc.
- International Business Machines Corporation (NYSE: IBM)
- Arm Limited
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 150 |
Published | November 2023 |
Forecast Period | 2024 - 2032 |
Estimated Market Value ( USD | $ 26.73 Billion |
Forecasted Market Value ( USD | $ 147.49 Billion |
Compound Annual Growth Rate | 23.8% |
Regions Covered | Global |
No. of Companies Mentioned | 8 |