AI Infrastructure Market - Major Technology Giants in Buzz Again | Intel, NVIDIA, IBM, Samsung Electronics

The latest study released on the global 'AI Infrastructure' market by AMA Research evaluates market size, trend, and forecast to 2030. The 'AI Infrastructure' market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

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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)
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.

Keep yourself up-to-date with latest market trends and changing dynamics due to COVID Impact and Economic Slowdown globally. Maintain a competitive edge by sizing up with available business opportunity in AI Infrastructure Market various segments and emerging territory.

Influencing Market Trend
• Increasing Use of Cloud Solutions in AI Infrastructure
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
Opportunities:
• Rising Focus on Developing Human-Aware AI Systems
• Surging Demand for FPGA-Based Accelerators
Challenges:
• Availability of Limited Structured Data to Train and Develop Efficient AI Systems
• Concerns Regarding Data Privacy in AI Platforms

Analysis 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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The regional analysis of Global AI Infrastructure Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2024-2030.

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.

Table of Content
Chapter One: Industry Overview
Chapter Two: Major Segmentation (Classification, Application and etc.) Analysis
Chapter Three: Production Market Analysis
Chapter Four: Sales Market Analysis
Chapter Five: Consumption Market Analysis
Chapter Six: Production, Sales and Consumption Market Comparison Analysis
Chapter Seven: Major Manufacturers Production and Sales Market Comparison Analysis
Chapter Eight: Competition Analysis by Players
Chapter Nine: Marketing Channel Analysis
Chapter Ten: New Project Investment Feasibility Analysis
Chapter Eleven: Manufacturing Cost Analysis
Chapter Twelve: Industrial Chain, Sourcing Strategy and Downstream Buyers

Read Executive Summary and Detailed Index of full Research Study @ https://www.advancemarketanalytics.com/reports/143999-global-ai-infrastructure-market?utm_source=OpenPR/utm_medium=Rahul

Highlights of the Report
• The future prospects of the global AI Infrastructure market during the forecast period 2024-2030 are given in the report.
• The major developmental strategies integrated by the leading players to sustain a competitive market position in the market are included in the report.
• The emerging technologies that are driving the growth of the market are highlighted in the report.
• The market value of the segments that are leading the market and the sub-segments are mentioned in the report.
• The report studies the leading manufacturers and other players entering the global AI Infrastructure market.

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About Author:
Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies' revenues.
Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enables clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.

This release was published on openPR.