Global AI Infrastructure Market Report and Forecast 2024-2032

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.

Market Segmentation

The market can be divided based on type, technology, deployment, function, end use, and region.

Market Breakup by Type

• Hardware
• Processor

 CPU
 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