AI Infrastructure Market report contains detailed information on factors influencing demand, growth, opportunities, challenges, and restraints. It provides detailed information about the structure and prospects for global and regional industries. In addition, the report includes data on research & development, new product launches, product responses from the global and local markets by leading players. The structured analysis offers a graphical representation and a diagrammatic breakdown of the AI Infrastructure Market by region.
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.
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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. T
he 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.
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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
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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
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List of Factors Covered in the Report are:
Major Strategic Developments: The report abides by quality and quantity. It covers the major strategic market developments, including R&D, M&A, agreements, new products launch, collaborations, partnerships, joint ventures, and geographical expansion, accompanied by a list of the prominent industry players thriving in the market on a national and international level.
Key Market Features:
Major subjects like revenue, capacity, price, rate, production rate, gross production, capacity utilization, consumption, cost, CAGR, import/export, supply/demand, market share, and gross margin are all assessed in the research and mentioned in the study. It also documents a thorough analysis of the most important market factors and their most recent developments, combined with the pertinent market segments and sub-segments.
List of Highlights & Approach
The report is made using a variety of efficient analytical methodologies that offers readers an in-depth research and evaluation on the leading market players and comprehensive insight on what place they are holding within the industry. Analytical techniques, such as Porter’s five forces analysis, feasibility studies, SWOT analyses, and ROI analyses, are put to use to examine the development of the major market players.
Some of the Key Questions Answered in this Report:
- What is the Market dimension at the regional and country-level?
- What are the key drivers, restraints, opportunities, and challenges of the Market, and how they are anticipated to influence the market?
- What is the international (North America, Europe, Asia-Pacific, South America, Middle East and Africa) income value, manufacturing value, consumption value, import and export of Market?
- Who are the world key producers of the Market Industry? How is their working state of affairs (capacity, production, sales, price, cost, gross, and revenue)?
- What are the Market possibilities and threats confronted via the carriers in the world Market Industry?
- Which application/end-user or product kind may also be seeking for incremental boom prospects? What is the market share of every kind and application?
- What targeted method and constraints are keeping the Market?
- What are the distinct sales, marketing, and distribution channels in the world industry?
- What are the upstream uncooked substances and manufacturing gear of Market alongside with the manufacturing technique of Market?
- What are the key market tendencies impacting the increase of the Market?
- Economic have an impact on the Market enterprise and improvement vogue of the Market industry.
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