AI Infrastructure Market is Booming Worldwide | Intel, NVIDIA, IBM

Latest survey on Global AI Infrastructure Market is conducted to provide hidden gems performance analysis of AI Infrastructure to better demonstrate competitive environment . The study is a mix of quantitative market stats and qualitative analytical information to uncover market size revenue breakdown by key business segments and end-use applications. The report bridges the historical data from 2018 to 2023 and forecasted till 2028*, the outbreak of the latest scenario in Global AI Infrastructure market has made companies uncertain about their future outlook as the disturbance in the value chain have made a serious economic slump. Some are the key & emerging players that are part of the coverage and profiled in the study are Intel Corporation (United States), NVIDIA Corporation (United States), IBM (United States), Samsung Electronics (South Korea), Google (United States), Microsoft (United States), Micron Technology (United States), Amazon Web Services (United States), CISCO (United States), Oracle (United States).

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Scope of the Report of AI Infrastructure
The AI Infrastructure market is expected to grow in the future due to the increasing adoption of cloud machine learning platforms and rise in the popularity of AI data centers. The increasing use of industrial IoT, robotics, and big data across domains is fueling the growth of the global AI infrastructure market.

The titled segments and sub-section of the market are illuminated below:
by Type (Hardware (Processor (CPU, GPU, FPGA, ASIC) Memory, Storage, Networking), Server Software), Function (Training, Inference), Technology (Machine learning, Deep learning), Deployment Model (On-premises, Cloud, Hybrid), End User (Enterprises, Government organizations, Cloud service providers)

Market Trends:
Increasing Use of Cloud Solutions in AI Infrastructure

Opportunities:
Rising Focus on Developing Human-Aware AI Systems
Surging Demand for FPGA-Based Accelerators

Market Drivers:
An Increasing Adoption of Cloud Machine Learning Platform
Rising Adoption of AI Applications in Various Industries Such as Healthcare, Automotive, Finance, and Tourism

Key Developments in the Market:

In Nov 2019, Atos and Intel announced a multiyear collaboration focused on delivering the next generation of exaclass systems for high-performance computing (HPC) and artificial intelligence (AI). The collaboration builds on the two companies’ long-standing partnerships to further accelerate scientific and business innovation.

In Aug 2020, Coca-Cola European Partners (CCEP) has signed a multiyear agreement with IBM to accelerate its transformation to an open hybrid cloud environment using Red Hat OpenShift and Red Hat Enterprise Linux. The move is designed to reduce its operational expenses, increase IT resiliency, and leverage analytics and Artificial Intelligence (AI) in its daily operations to bring enhanced business insights and deliver greater service to its millions of customers., and In June 2020, Intel introduced its 3rd Gen Intel® Xeon® Scalable processors and additions to its hardware and software AI portfolio, enabling customers to accelerate the development and use of artificial intelligence (AI) and analytics workloads running in data center, network and intelligent-edge environments.

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

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Strategic Points Covered in Table of Content of Global AI Infrastructure Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI Infrastructure market

Chapter 2: Exclusive Summary – the basic information of the AI Infrastructure Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI Infrastructure

Chapter 4: Presenting the AI Infrastructure Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the AI Infrastructure market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, AI Infrastructure Market is a valuable source of guidance for individuals and companies.

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