AI Infrastructure Market to Surpass USD 322.89 Billion by 2032, at 27.3% CAGR | SNS Insider

The AI infrastructure market is driven by the increasing adoption of AI and machine learning technologies across various industries.

AUSTIN, TX, UNITED STATES, February 4, 2025 /EINPresswire.com/ -- Market Size & Industry Insights

As Per the SNS Insider,“The AI Infrastructure Market was USD 36.78 billion in 2023 and is expected to reach USD 322.89 Billion by 2032, growing a CAGR of 27.3% over the forecast period of 2024-2032.”

AI Infrastructure Supports Rapid Growth of Intelligent Applications and Meets Demands of Emerging Technologies

AI infrastructure describes the fundamental platforms organizations use for developing, testing, and deploying intelligent applications that are self-learning and require a minimal amount of human intervention. Emerging technologies, such as IoT, mobility, and big data, have mounted significant pressure on traditional IT infrastructures, so powerful AI-enabled infrastructure is critical today more than ever. AI infrastructure supports all stages of the machine learning workflow, allowing data engineers, data scientists, software engineers, and even DevOps teams to deal with the allocation of computational resources for the development of AI algorithms.

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SWOT Analysis of Key Players as follows:
- Amazon Web Services
- Google LLC
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- Cisco Systems Inc.
- Intel Corporation
- Micron Technology Inc.
- Nvidia Corporation
- Samsung Electronics

AI infrastructure helps organizations plan effectively for capacity, storage management, and resource usage. Organizations can utilize anomaly detection, threat detection, and analysis of data, among sophisticated features. Further, this increasing adoption of cloud-based platforms for machine learning is creating greater demand for powerful infrastructure. Moreover, the hike in data traffic, along with the requirement of stronger computational strength, has necessitated the broad investment in the infrastructure of AI to meet all these rising requirements. The ever-increasing alliances among businesses and across industries fuel this rapidly progressing market.

AI Infrastructure Market to See Massive Growth as Hardware Segment and Machine Learning Segment Dominated

By Offering

The hardware segment dominated the AI Infrastructure Market in 2023, with a market share of 62%. Hardware is fundamental to providing the computing power needed for machine learning models and AI processes. Powerful servers, GPUs, and storage devices are integral to running AI workloads efficiently. However, over the forecast period 2024-2032, growth is expected in the software segment since developments in applications and tools on automation would attract the use of AI management software solutions.

By Technology

The AI Infrastructure Market is dominated by machine learning segment as this captured 57% market share in 2023. It has its needs such as extensive data and intensive computing capabilities and thus requires an AI infrastructure. But, the deep learning segment is estimated to be increasing with the fastest CAGR through the forecast period 2024-2032. The deep learning models are those in machine learning; however, due to higher processes and higher sets of datasets required, deep learning models have demanded more powerful computation resources, leading to greater development and more investments in the infrastructures related to AI.

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KEY MARKET SEGMENTS:

BY OFFERING
Hardware
Software

BY TECHNOLOGY
Deep Learning
Machine Learning

BY DEPLOYMENT
On-premises
Cloud
Hybrid

BY FUNCTION
Inference
Training

BY END USER
Government Organizations
Cloud Service Providers
Enterprises

Regional Analysis

The Asia Pacific (APAC) region currently holds the largest share of the AI infrastructure market and is expected to continue dominating during the forecast period. Its growth is attributed to the fact that the region has gained comprehensive technological advancement, which significantly comes from large populous countries like China and India. China's AI infrastructure market is booming with the rise in the number of AI data centers and its commitment to digital economy advancement. The demand for AI-driven cloud services and scalable solutions is especially high, pushing businesses to invest heavily in AI infrastructure.

The world's fastest-growing economy, India, is also rapidly making strides in AI development. The Indian government is actively engaging in AI initiatives, such as the construction of data centers and the enhancement of 5G networks. While there are difficulties, India is well-positioned to be an important player in the global AI infrastructure market based on its commitment to developing a favorable ecosystem for AI innovation. As both China and India push further for greater adoption of AI and digital transformation, the APAC region is very likely to maintain its lead well into the future in the AI infrastructure market.

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Recent Developments

-January 2025: Amazon.com said that its cloud computing unit, Amazon Web Services (AWS), will invest around USD 11 billion in its Georgia infrastructure expansion in support of cloud computing and artificial intelligence. Big Tech firms are investing billions into artificial intelligence, underlining the increasing need for strong data centers and more sophisticated infrastructure in order to house innovations and services for AI in the cloud.

-January 2025: Australia's fastest-growing AI firm and recently acquired by Canva, Leonardo.AI, has chosen Google Cloud to power its scaling of infrastructure in service of a fast-growing user base and quick iteration with new gen AI features.

Table of Content - Major Points Analysis

Chapter 1. Introduction

Chapter 2. Executive Summary

Chapter 3. Research Methodology

Chapter 4. Market Dynamics Impact Analysis

Chapter 5. Statistical Insights and Trends Reporting

Chapter 6. Competitive Landscape

Chapter 7. AI Infrastructure Market Segmentation, by Offering

Chapter 8. AI Infrastructure Market Segmentation, by Technology

Chapter 9. AI Infrastructure Market Segmentation, by Deployment

Chapter 10. AI Infrastructure Market Segmentation, by Function

Chapter 11. AI Infrastructure Market Segmentation, by End-User

Chapter 12. Regional Analysis

Chapter 13. Company Profiles

Chapter 14. Use Cases and Best Practices

Chapter 15. Conclusion

Continued…

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Akash Anand
SNS Insider
+1 415-230-0044
info@snsinsider.com

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