Global Enterprise Artificial Intelligence (AI) Market 2020-2025 Trending Report by Top Vendors


Posted September 21, 2020 by Rupali07

This report studies the global Enterprise Artificial Intelligence (AI) market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Forecast Analysis.

 
Global Enterprise Artificial Intelligence (AI) Market overview:

Enterprise AI entails leveraging advanced machine and cognitive capabilities to discover and deliver organizational knowledge, data, and information in a way that closely aligns with how humans look for and process information. The Global Enterprise Artificial Intelligence (AI) Market is segmented on the basis of Product Type, Application, End Use Industry and Region. This report also covers all the regions and countries of the world, which shows a regional development status, including market size.

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On the Basis of Product Type segment, the Enterprise Artificial Intelligence (AI) Market is sub segmented into Machine Learning and Deep Learning and Natural Language Processing (NLP). Based on End Use Industry segment, the Enterprise Artificial Intelligence (AI) Market is segmented as Small- & Medium-sized Enterprises and Large Enterprises.

There are several manufacturers of Enterprise Artificial Intelligence (AI) in Europe and North America. In North America, the demand for Enterprise Artificial Intelligence (AI) is primarily driven by the Healthcare sector. Among the countries in Asia Pacific, the demand was substantially high in developing countries such as China and India.

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Top Industry News:

Microsoft finds underwater datacenters are reliable, practical and use energy sustainably on 14 September, 2020 -- Earlier this summer, marine specialists reeled up a shipping-container-size datacenter coated in algae, barnacles and sea anemones from the seafloor off Scotland’s Orkney Islands.

The retrieval launched the final phase of a years-long effort that proved the concept of underwater datacenters is feasible, as well as logistically, environmentally and economically practical.

Microsoft’s Project Natick team deployed the Northern Isles datacenter 117 feet deep to the seafloor in spring 2018. For the next two years, team members tested and monitored the performance and reliability of the datacenter’s servers.

The team hypothesized that a sealed container on the ocean floor could provide ways to improve the overall reliability of datacenters. On land, corrosion from oxygen and humidity, temperature fluctuations and bumps and jostles from people who replace broken components are all variables that can contribute to equipment failure.

The Northern Isles deployment confirmed their hypothesis, which could have implications for datacenters on land.

Lessons learned from Project Natick also are informing Microsoft’s datacenter sustainability strategy around energy, waste and water, said Ben Cutler, a project manager in Microsoft’s Special Projects research group who leads Project Natick.

What’s more, he added, the proven reliability of underwater datacenters has prompted discussions with a Microsoft team in Azure that’s looking to serve customers who need to deploy and operate tactical and critical datacenters anywhere in the world.

“We are populating the globe with edge devices, large and small,” said William Chappell, vice president of mission systems for Azure. “To learn how to make datacenters reliable enough not to need human touch is a dream of ours.”

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Major Key Players:

Some of the Enterprise Artificial Intelligence (AI) Market manufacturers involved in the market are IBM, Wipro Limited, Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, Google LLC, SAP, Evolv Technologies, Oracle Corporation, Hewlett Packard Enterprise (HPE), Alibaba, Tencent in World, effective mergers are some of the strategies adopted by the Enterprise Artificial Intelligence (AI) Market manufacturers. New product launches and continuous technological innovations are the Enterprise Artificial Intelligence (AI) Market strategies adopted by the major players.

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Tags Enterprise Artificial Intelligence (AI) , Global Enterprise Artificial Intelligence (AI) Market , Enterprise Artificial Intelligence (AI) Market , Enterprise Artificial Intelligence (AI) Market Share , google , AWS , Intel , Wipro
Last Updated September 21, 2020