AI Infrastructure Market: Industry Turns Challenges into Opportunities: Report

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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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
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

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Key Points:
Define, describe and forecast product market by type, application, end user and region.
Provide enterprise external environment analysis and PEST analysis.
Provide strategies for company to deal with the impact of COVID-19.

Provide market dynamic analysis, including market driving factors, market development constraints.
Provide market entry strategy analysis for new players or players who are ready to enter the market, including market segment definition, client analysis, distribution model, product messaging and positioning, and price strategy analysis.

Keep up with international market trends and provide analysis of the impact of the COVID-19 epidemic on major regions of the world.
Analyze the market opportunities of stakeholders and provide market leaders with details of the competitive landscape.

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Table of Content:
• Market Definition and Overview
• Research Method and Logic
• Market Competition Analysis
• Product and Service Analysis
• Strategies for Company to Deal with the Impact of COVID-19
• Market Segment by Type, Historical Data, and Market Forecasts
• Market Segment by Application, Historical Data, and Market Forecasts
• Market by Region, Historical Data, and Market Forecasts
• Market Dynamic Analysis and Development Suggestions
Key Benefits for Industry Participants & Stakeholders
• Market Research allows the investors to understand the market size, dynamics, risks, and opportunities in the industry.
• The market research report provides market sizing and forecast over major currencies - USD, EUR, JPY, GBP, and CHF.
• This Market Research Report helps to forecast the revenues and analyse the market trends based on region, product type, and end-use.
• The Market analysis of the market share of can proves beneficial in terms of profit to the industry's participants and stakeholders.

Continued….
……..and view more in complete table of Contents

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