Advance Market Analytics published a new research publication on "AI Infrastructure Market Insights, to 2028" 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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Some of the key 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.
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
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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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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