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Artificial Intelligence (AI) infrastructure refers to the foundational hardware, software and networking components that support the development, deployment and operation of AI systems. It includes computing power (such as central processing unit (CPU), graphics processing unit (GPU), tensor processing unit (TPU), data storage, frameworks, cloud services and networking resources designed to handle AI workloads efficiently. The main goal of AI infrastructure is to provide the necessary computational power, scalability and efficiency to support AI-driven applications.

The AI infrastructure market consists of sales, by entities (organizations, sole traders, or partnerships), of AI infrastructure that is employed whenever there is a need to process large volumes of data, develop predictive models, or automate complex tasks across various industries.

The global AI infrastructure market was valued at $15,350.00 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 29.00%.

Increasing Digital Transformation

The increasing digital transformation supported the growth of the AI infrastructure market during the historic period. Digital transformation generates vast amounts of data from internet of things (IoT) devices, cloud computing and enterprise applications, requiring artificial intelligence (AI) infrastructure like graphics processing units (GPUs), tensor processing units (TPUs) and AI-specific processors for efficient processing. For instance, in April 2023, according to a report from Copperberg AB, a Sweden-based e-commerce content and marketing firm and Valtech, a UK-based digital transformation agency, 47% of respondents increased their digital investment budget by up to 20% in 2023, compared to 63% in 2022. Businesses striving to match or surpass competitors are boosting their budgets. Additionally, in January 2023, according to the latest findings from Boston Consulting Group (BCG), Inc., a US-based management consulting company, two-thirds of the 2,700 executives surveyed worldwide plan to boost digital spending in 2023. Therefore, the increasing digital transformation drove the growth of the AI infrastructure market.

The Growing Role Of Energy And Commodities In AI Development

Companies operating in the AI infrastructure market are focusing on infrastructure and commodities critical to powering AI development, such as high-performance computing (HPC), advanced GPUs, data centre expansion and optimized cloud services. They are also investing in energy-efficient cooling systems and high-speed networking to address scalability and power constraints while enhancing AI model performance. For example, in February 2025, Global X Investments Canada Inc., a Canada-based financial services company launched the MTRX ETF on the Toronto Stock Exchange. This ETF aims to replicate the performance of the Mirae Asset AI Infrastructure CAD Index, offering investors exposure to companies integral to AI infrastructure development. Unlike other AI-focused strategies, MTRX emphasizes sectors such as energy infrastructure, electronic component manufacturing and utilities essential for AI operations. Notably, it includes investments in copper and uranium mining firms, acknowledging the critical role of these commodities in powering and constructing AI technologies. As AI adoption accelerates, MTRX provides a strategic avenue for investors to engage with the foundational elements driving AI advancements.

The global AI infrastructure market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 13.96% of the total market in 2023.

AI Infrastructure Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global AI infrastructure market as it emerges from the COVID-19 shut down.

Reasons to Purchase

Where is the largest and fastest-growing market for AI infrastructure? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI infrastructure market global report from The Business Research Company answers all these questions and many more.

The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider AI infrastructure market; and compares it with other markets.

The report covers the following chapters

Markets Covered:

Table of Contents

1 Executive Summary

2 Table Of Contents

3 List Of Tables

4 List Of Figures

5 Report Structure

6 Market Characteristics

7 Major Market Trends

8 Global AI Infrastructure Growth Analysis And Strategic Analysis Framework

9 Global AI Infrastructure Market Segmentation

10 AI Infrastructure Market, Regional and Country Analysis

11 Asia-Pacific Market

12 Western Europe Market

13 Eastern Europe Market

14 North America Market

15 South America Market

16 Middle East Market

17 Africa Market

18 Competitive Landscape And Company Profiles

19 Other Major And Innovative Companies

20 Competitive Benchmarking

21 Competitive Dashboard

22 Key Mergers And Acquisitions

23 Recent Developments In AI Infrastructure

24 Opportunities And Strategies

25 AI Infrastructure Market, Conclusions And Recommendations

26 Appendix

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