The global AI infrastructure market revenue was around US$ 39.5 billion in 2023 and is estimated to reach US$ 414.0 billion by 2032, growing at a compound annual growth rate (CAGR) of 29.8% during the forecast period from 2024 to 2032.
An AI infrastructure is the technology that allows ML. It represents the combination of AI and ML solutions to deploy and develop, scalable, reliable, and particular data solutions. The rate of AI adoption has accelerated during the COVID-19 crisis but the augmented rate of adoption is likely to identify significant extra demand for supporting infrastructure and computing resources. When it comes to infrastructure, businesses have to adjust and be flexible.
Factors Influencing Market Growth
- Businesses are required to make careful preferences and specify IaaS providers that can offer cost-effective reliable servers as a means to facilitate performance and to allow them to continue investing in AI without expanding their budget. Such factors will help to improve the growth of the market during the forecast period.
- Companies utilize ML and predictive analytics to forecast future physical risks in the supply chain and customer, financial, and other operational risks, therefore driving the growth of the market.
- Scalability is a high priority and AI needs a low-latency high-bandwidth network. It is necessary to ensure the technology stack and service wrap are compatible for all regions. Such factors deliver lucrative opportunities for the growth of the market during the forecast period.
Impact of COVID-19
The AI infrastructure market has noticed significant growth in the past few years and is anticipated to further show notable growth, due to the outbreak of the COVID-19 pandemic. This is attributed to the surge in the requirement for AI among enterprises to enhance their customers' requirements and to upsurge their revenue opportunities. In addition, the usage of AI infrastructure technologies for handling an increasing volume of data developed from different devices in an organization forces the AI infrastructure market forecast.
Regional Analysis
In 2023, North America dominated the global AI infrastructure market in terms of revenue. This is due to the high concentration of AI solution vendors in the region are expected to offer lucrative growth opportunities for the AI infrastructure market in the North American region.
Also, Asia-Pacific is anticipated to show the highest growth during the forecast period, due to its constant rapid digital transformation trends that are anticipated to expand the scope of the AI infrastructure industry in the Asia-Pacific region.
Leading Companies
The leading prominent companies profiled in the global AI infrastructure market are: -
- Alphabet Inc.
- Amazon.com, Inc.
- IBM Corporation
- Intel Corporation
- Micron Technology, Inc.
- Microsoft Corporation
- NVIDIA Corporation
- Oracle Corporation
- Samsung
- Toshiba Corporation
- Other prominent key players
Segmentation Outline
The global AI infrastructure market segmentation focuses on Deployment Mode, Technology, End-Users, Application, Component, and Region.
Segmentation based on Deployment Mode
- On-Premise
- Cloud
- Hybrid
Segmentation based on Technology
- Machine Learning
- Deep Learning
Segmentation based on End-Users
- Enterprises
- Governments
- Cloud Service Providers (CSPs)
Segmentation based on Application
- AI Training
- Inferencing
- Others
Segmentation based on Component
- Hardware
- Software
- Services
Segmentation based on Region
- North America
- The U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Netherlands
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Singapore
- Rest Of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
