Austin, Feb. 11, 2025 (GLOBE NEWSWIRE) — AI Infrastructure Market Size & Growth Insights:
According to the SNS Insider, “The AI Infrastructure Market Size was valued at USD 36.35 billion in 2023, is expected to reach USD 360.59 billion by 2032, growing at a CAGR of 29.06% Over the forecast period 2024 to 2032.”
The demand for AI workloads requiring high-performance computing capabilities, and the initial growth of generative AI apps, has driven this extraordinary expansion. Conversely, cloud service providers are also investing on elastic AI infrastructure solutions to accommodate these increasing requirements thus accelerating the rapid market growth.
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Leading Market Players with their Product Listed in this Report are:
- Nvidia Corporation (U.S.) – (AI Hardware, GPUs)
- AIBrain (U.S.) – (AI-based software solutions)
- IBM Corporation (U.S.) – (AI software, Watson AI)
- ConcertAI (U.S.) – (AI for healthcare, data analytics)
- Oracle Corporation (U.S.) – (AI and cloud solutions)
- Salesforce, Inc. (U.S.) – (AI-powered CRM solutions)
- Amazon.com, Inc. (U.S.) – (AWS AI, cloud services)
- Google LLC (Alphabet Inc.) (U.S.) – (Google AI, TensorFlow)
- Super Micro Computers, Inc. (U.S.) – (AI hardware, servers)
- Intel Corporation (U.S.) – (AI chips, processors)
- Microsoft (U.S.) – (Azure AI, cloud AI solutions)
- Baidu (China) – (AI software, cloud services)
- Huawei Technologies (China) – (AI hardware, cloud solutions)
- Samsung Electronics (South Korea) – (AI chips, devices).
AI Infrastructure Market Report Scope:
| Report Attributes | Details |
| Market Size in 2023 | USD 36.35 Billion |
| Market Size by 2032 | USD 360.59 Billion |
| CAGR | CAGR of 29.06% From 2024 to 2032 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segmentation | • By Offering (Hardware [Processor, Storage, Memory], Software) • By Deployment (On-Premises, Cloud, Hybrid) • By Technology (Machine Learning, Deep Learning) • By End Use (Enterprise, Government Organization, Cloud Services Providers) |
| Key Drivers | • Scaling Infrastructure for AI Workloads and Sustainability. |
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Key Market Segmentation
By Offering, AI Infrastructure Market: Hardware & Software Trends
Hardware led the AI infrastructure market with sixty-two percent of revenues in 2023 with the need for robust systems to run AI workloads. AI hardware potential is being scaled in the U.S., with China and Japan rapidly expanding AI research and capitalizing on cloud.
The the most rapid expansion of the Software segment between 2024-2032 Over the forecast period owing to North America leading the way in cloud computing development and software engineering innovations, whereas China and Japan have mushrooming investments in AI.
By Deployment, Cloud, Hybrid, and On-Premise Segments
In 2023, the cloud segment led the AI infrastructure industry with a forty-six percent share of revenues, propelled by demands for scalable and adaptable AI solutions delivered over the cloud. The United States and Europe are building out substantial cloud platforms to fuel innovation in AI.
The hybrid deployment model witnessed the speediest growth and is expected to broaden even more between 2024 and 2032, delivering a blend of cloud flexibility with on-premise security guarantees most attractive to key players in the United States, Germany, India, and China.
By Technology Type, Domination of machine learning but rise of deep learning
In 2023, the machine-learning segment dominated the AI infrastructure market, accounting for approximately seventy-five percent of total revenues, driven by applications in industries such as healthcare, finance, and retail
The deep learning sphere is anticipated to develop swiftly from 2024 through 2032, chiefly in healthcare, automotive, and finance, with North America and Asia-Pacific guiding investments.
By End Use, Cloud Service Providers and Enterprises
Cloud service providers accounted for approximately 50% of the AI infrastructure market, propelled by demand for scalable and adaptable solutions. The United States, China, and India are broadening their cloud infrastructures to boost AI capacities.
The enterprise portion is expected to develop quickly from 2024 through 2032, as AI adoption in automation, data handling, and decision-making increases, particularly in the United States, Germany, China, and Japan, where governments promote progress.
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Regional Dominance in AI Infrastructure Market: North America vs. Asia Pacific
North America, guiding the AI infrastructure market with about 45% of global profits, is driven by substantial investments from tech giants like Google, Microsoft, and Amazon. Its position is reinforced by advanced research, widespread cloud adoption, and AI applications across sectors including healthcare, finance, and retail.
Asia Pacific, especially China, Japan, and India, is rapidly increasing. Governments in these countries are putting heavily in AI R&D, with China focusing on computing infrastructure, India modernizing key industries, and Japan leading in robotics and automotive, making the region a crucial hub for AI growth.
Table of Contents – Major Points
1. Introduction
2. Executive Summary
3. Research Methodology
4. Market Dynamics Impact Analysis
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates by Region
5.2 Energy Consumption & Efficiency Metrics
5.3 Regulatory and Compliance Data
5.4 Innovation and R&D
6. Competitive Landscape
7. AI Infrastructure Market Segmentation, by Offering
8. AI Infrastructure Market Segmentation, by Deployment
9. AI Infrastructure Market Segmentation, by Technology
10. AI Infrastructure Market Segmentation, by End Use
11. Regional Analysis
12. Company Profiles
13. Use Cases and Best Practices
14. Conclusion
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