Global AI Infrastructure Market to reach USD 100.8 billion by 2027.
Global AI Infrastructure Market is valued approximately USD 18.6 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 27.3% over the forecast period 2021-2027. Artificial intelligence (AI) infrastructure refers to the platforms that businesses may use to create intelligent applications that are predictive, and require little human interaction. New generation technologies such as IoT, Mobility, and Big Data are putting a pressure on IT infrastructure. For utilizing the power of AI platforms, intelligent infrastructure is more important than ever. Every stage of the machine learning workflow is covered by AI infrastructure. It enables data engineers, data scientists, DevOps teams, and software engineers to manage and access computer resources for AI algorithm training, deployment, and testing. The workload is mapped to the right configuration of virtual machines and servers using AI infrastructure. Organizations may now focus on capacity planning, storage management, resource usage, anomaly detection, threat detection, and analysis due to AI infrastructure. The AI infrastructure market is growing due to increasing use of cloud machine learning platforms in businesses and rising demand for AI hardware in high-performance computing data centres. The market for AI infrastructure is projected to grow as the use of AI applications in vertical sectors such as healthcare, automotive, BFSI, and tourism grows. The dearth of AI hardware specialists in the sector, on the other hand, is limiting the market's growth. Increasing attention on building human-aware AI systems, on the other hand, represents an opportunity for the AI infrastructure industry in the forecasting years. For instance, The GeForce GTX Titan X has a memory bandwidth of 336.5 GB/s and is mostly utilized in desktop computers, whereas the Tesla V100 16 GB has a memory bandwidth of 900 GB/s and is primarily used in AI applications. According to Cisco Systems, Inc.'s most recent records, global IP traffic will exceed 1.2 ZB per year or 96 EB per month in 2021, and 3.3 ZB per year in 2022. This indicates that overall IP traffic is booming, and that more data will be generated in the near future. As a result, greater computational power devices are required. The growing volume of data produced in industries such as automotive and healthcare, improved computing power, lower hardware costs, a growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism are mostly driving the market growth.


The main regions of Asia Pacific, North America, Europe, Latin America, and the Rest of the World are included in the geographical analysis of the worldwide AI Infrastructure market. The global AI infrastructure market is dominated by North America, and this growth is projected to continue in the coming years. AI-based servers are predicted to be widely used in the United States and Canada. Also, with their significant focus on investing in R&D operations for the development of new technologies, these countries are technologically developed economies in North America. The United States is one of the country's biggest developers of AI technology. Furthermore, the presence of major AI technology suppliers in the country, such as IBM, Google, Microsoft, NVIDIA, Intel, Facebook, MetaMind, and Amazon, is driving the AI infrastructure market's growth.

Major market player included in this report are:
Intel Corporation
NVIDIA Corporation
IBM
Xilinx
Advanced Micro Devices
Samsung Electronics
Micron Technology
Google
Microsoft
Amazon Web Services
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
Hardware
Server Software
By Technology:
Machine Learning
Deep Learning
By Function:
Training
Inference
By Deployment Type:
On-Premises
Cloud
Hybrid
By End-User:
Enterprises
Government Organizations
Cloud Service Providers
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year - 2018, 2019
Base year - 2020
Forecast period - 2021 to 2027

Target Audience of the Global AI Infrastructure Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors