AI Infrastructure Market to Witness Excellent Revenue Growth Owing to Rapid Increase in Demand

Advance Market Analytics published a new research publication on "Global AI Infrastructure Market Insights, to 2030" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study, you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market-associated stakeholders. The growth of the AI Infrastructure market was mainly driven by the increasing R&D spending across the world.

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Major players 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)

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.

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.

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.

The Global AI Infrastructure Market segments and Market Data Break Down 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 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

Market Trend:
• Increasing Use of Cloud Solutions in AI Infrastructure

What can be explored with the AI Infrastructure Market Study?
• Gain Market Understanding
• Identify Growth Opportunities
• Analyze and Measure the Global AI Infrastructure Market by Identifying Investment across various Industry Verticals
• Understand the Trends that will drive Future Changes in AI Infrastructure
• Understand the Competitive Scenarios
- Track Right Markets
- Identify the Right Verticals

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 2016-2022
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 (2024-2030)
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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Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

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This release was published on openPR.