AI Infrastructure Market to Witness Remarkable Growth by Intel ,NVIDIA
The study covers emerging player's data, including: competitive landscape, sales, revenue and global market share of top manufacturers 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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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.
Analyst at AMA have conducted special survey and have connected with opinion leaders and Industry experts from various region to minutely understand impact on growth as well as local reforms to fight the situation. A special chapter in the study presents Impact Analysis of COVID-19 on Global AI Infrastructure Market along with tables and graphs related to various country and segments showcasing impact on growth trends.
Increasing Use of Cloud Solutions in AI Infrastructure
An Increasing Adoption of Cloud Machine Learning Platform
Rising Adoption of AI Applications in Various Industries Such as Healthcare, Automotive, Finance, and Tourism
Rising Focus on Developing Human-Aware AI Systems
Surging Demand for FPGA-Based Accelerators
Availability of Limited Structured Data to Train and Develop Efficient AI Systems
Concerns Regarding Data Privacy in AI Platforms
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)
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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 IntelÂ® XeonÂ® 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.
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 companiesâ€™ long-standing partnerships to further accelerate scientific and business innovation.
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.
What benefits does AMA research study is going to provide?
- Latest industry influencing trends and development scenario
- Open up New Markets
- To Seize powerful market opportunities
- Key decision in planning and to further expand market share
- Identify Key Business Segments, Market proposition & Gap Analysis
- Assisting in allocating marketing investments
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 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 market size by Type, End User and Region 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 with revenue share and sales by key countries (2021-2026).
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, AI Infrastructure Market is a valuable source of guidance for individuals and companies in decision framework.
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Key questions answered
- Who are the Leading key players and what are their Key Business plans in the Global AI Infrastructure market?
- What are the key concerns of the five forces analysis of the Global AI Infrastructure market?
- What are different prospects and threats faced by the dealers in the Global AI Infrastructure market?
- What are the strengths and weaknesses of the key vendors?
Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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