AI Infrastructure Market size was estimated at $14.8 billion in 2022 and is expected to reach $96.2 billion by 2031, growing at a CAGR of 23.81% during the forecast period of 2022 to 2031.
AI Infrastructure Market
Artificial intelligence infrastructure includes every step of the machine learning system. It assists data scientists, data engineers, software engineers, and the DevOps team in accessing and managing the computing resources to test and deploy AI algorithms. AI infrastructure enables the users to develop intelligent applications which are predictive, self-healing, and require minimum human intervention. Moreover, the widespread utilization of AI infrastructure has facilitated the accurate division of workload to virtual machines and servers. Additionally, it also helps an organization to focus on resource utility, threat determination, storage management, and capacity planning.
AI Infrastructure Market Growth and Trend
Worldwide flourishing internet penetration rate and increased data traffic are propelling the AI infrastructure market demand to a greater extent. The growing need for high computing power will further create many lucrative growth opportunities in the global AI infrastructure market during the forecast period. In addition, the growing focus of the organization toward parallel computing in AI data centers and the rising number of cross-industry partnerships and collaborations are the key factors driving the growth of the market vigorously. However, the lack of awareness about the benefits of AI infrastructure in developing countries is a major restraint for the AI infrastructure market globally. On the other hand, the massive investment involved in the deployment of AI infrastructure can also limit market growth in the near future.
Furthermore, the Covid-19 pandemic is expected to enhance the acceptance rate of AI infrastructure in the healthcare sector. With the deployment of AI infrastructure in the healthcare industry, the firms can improve the efficiency of various processes and minimize interpersonal contact through the use of AI tools to contain the spread of the virus. Moreover, the widespread acceptance of AI in predictive maintenance processes is also anticipated to flourish the growth of the global AI infrastructure market.
AI Infrastructure Market Segmentation
The global AI infrastructure market is segmented based on components, deployment mode, and end-users. By component, the AI infrastructure market is divided into hardware and software. Based on the deployment model, the market is classified into on-premises, cloud, and hybrid. The hybrid deployment model holds the largest share of the AI infrastructure market. The segmental growth can be attributed to the various features of the hybrid model such as mixed computing, storage, and customization of the infrastructure according to its application. Based on end-user, the market is segregated into private enterprise, government, and cloud solution providers. The cloud-solution providers segment is anticipated to grow significantly over the forecast period owing to their high efficiency in offering services and less cost for maintenance of IT infrastructure.
AI Infrastructure Market Country Analysis
North America accounts for the largest share in the global AI infrastructure market due to widespread adoption by the prominent IT companies in the region and massive investment by the government to develop advanced technology. However, Asia Pacific is expected to be the fastest-growing region in the global AI infrastructure market due to ongoing technological advancements in the countries like Japan, India, and China.
AI Infrastructure Market Share and Competition
The leading companies in the global AI infrastructure market are Micron Technology, Advanced Micro Devices, Samsung Electronics, Amazon Web Services, CISCO System, NVIDIA Corporation, Google LLC, Microsoft Corporation, IBM Corporation, Intel Corporation, and Xilinx.
Report Highlights
• Historical data available (as per request)
• Estimation/statistics/forecast for revenue and unit sales (2021 – 2031)
• Data breakdown for every market segment (2021 – 2031)
• Gross margin and profitability analysis of companies
• Price analysis of each product type
• Business trend and expansion analysis
• Import and export analysis
• Competition analysis/market share
• Supply chain analysis
• Client list and case studies
• Market entry strategy
Industry Segmentation and Revenue Breakdown
Component Analysis (Revenue, USD Million, 2021 - 2031)
• Hardware
• Software
Deployment Analysis (Revenue, USD Million, 2021 - 2031)
• On-Premises
• Cloud
• Hybrid
End-Users Analysis (Revenue, USD Million, 2021 - 2031)
• Private Enterprise
• Government
• Cloud Solution Providers
Region Analysis (Revenue, USD Million, 2021 – 2031)
• United States
• Canada
• Mexico
• France
• Germany
• Italy
• Spain
• United Kingdom
• Russia
• China
• India
• Philippines
• Malaysia
• Australia
• Austria
• South Korea
• Middle East
• Japan
• Africa
• Rest of World
AI Infrastructure Market Companies
• Micron Technology
• Advanced Micro Devices
• Samsung Electronics
• Amazon Web Services
• CISCO System
• NVIDIA Corporation
• Google LLC
• Microsoft Corporation
• IBM Corporation
• Intel Corporation
• Xilinx.
Available Versions:-
• United States AI Infrastructure Industry Research Report
• Europe AI Infrastructure Industry Research Report
• Asia Pacific AI Infrastructure Industry Research Report
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