Global AI Infrastructure Market Size study, by Offering (Hardware, Server Software) Technology (Machine learning, deep learning) Function (Training, Inference) Deployment Type (On-premises, cloud, hybrid) End User (Enterprises, Government Organizations, Cloud Service Providers) and Regional Forecasts 2021-2027, The ‘ AI Infrastructure market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview, AI Infrastructure market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, AI Infrastructure market size forecast, market data & Graphs and Statistics, Tables, Bar & Pie Charts, and many more for business intelligence.
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Key Segments Studied in the Global AI Infrastructure Market:
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 Deployment Type:
Cloud Service Providers
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
Countries: Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela, Vietnam
Impact of COVID-19 on the Global Market
The research report compiled by Report Ocean offers the study of market opportunities and market impact that are created due to the COVID-19 pandemic. The detailed research report is focused upon all direct and indirect impact of COVID-19 with new product launches, pipeline analysis, supply chain overview, government regulations, strategies adopted by related market players and upcoming vaccines and drug status. Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.(*If you have any special requirements, please let us know and we will offer you the report as you want.)
Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis Our team will be able to provide clear answers, identify key opportunities, new investments, and recommend high quality strategy routes in the market. These answers will include a holistic analysis of the:
Existing market infrastructures
Market challenges and opportunities
Potential for growth in certain industries in the coming years
End-consumer target groups and their potential volumes of operation
Best regions and segments to target
Pros and cons of various promotion models
Touch points and an opportunity breakdown within the value chain
Market size and growth rate during forecast period.
Key factors driving the Market.
Key market trends cracking up the growth of the Market.
Challenges to market growth.
Key vendors of Market.
Detailed SWOT analysis.
Opportunities and threats faces by the existing vendors in Global Market.
Trending factors influencing the market in the geographical regions.
Strategic initiatives focusing the leading vendors.
PEST analysis of the market in the five major regions.
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Key Points Covered in AI Infrastructure Market Report: Study Explore COVID 19 Outbreak Impact Analysis
Chapter 1, to describe Definition, Specifications and Classification of Global AI Infrastructure, Applications of , Market Segment by Regions;
Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
Chapter 5 and 6, to show the Regional Market Analysis that includes United States, EU, Japan, China, India & Southeast Asia, Segment Market Analysis (by Type);
Chapter 7 and 8, to explore the Market Analysis by Application Major Manufacturers Analysis;
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type, Market Trend by Application;
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
Chapter 11, to analyze the Consumers Analysis of Global AI Infrastructure by region, type and application;
Chapter 12, to describe AI Infrastructure Research Findings and Conclusion, Appendix, methodology and data source;
Chapter 13, 14 and 15, to describe AI Infrastructure sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
……..and view more in complete table of Contents
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