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Booming Growth in Enterprise Artificial Intelligence Market Analysis Report 2020 and Forecast to 2025 by Developments in Manufacturing Technology and Growth Overview - SAS, IBM, Microsoft, Amazon

03-11-2020 07:11 PM CET | IT, New Media & Software

Press release from: Business Industry Reports

Enterprise Artificial Intelligence Market

Enterprise Artificial Intelligence Market

This report provides in depth study of "Enterprise Artificial Intelligence Market" using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Smart Home as a Service Market report also provides an in-depth survey of key players in the market organization.

Global Enterprise Artificial Intelligence Market overview:

BusinessIndustryReports have new report spread across 96 pages is an overview of the Global Enterprise Artificial Intelligence Market Report 2020. The Global Enterprise Artificial Intelligence Market is projected to grow at a healthy growth rate from 2020 to 2024 according to new research. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies.

Available Exclusive Sample Copy of this Report @ https://www.businessindustryreports.com/sample-request/247148.

Artificial Intelligence allows computer systems to build and perform tasks that usually require human interference and support, such as speech recognition, decision making, visual perception, and translation among languages. Artificial Intelligence might differ from people to people as per their own perspective. For instance, a few years ago, a recommendation engine of browsers might have been seen as Artificial Intelligence but currently, the emergence of personalized bots, computers that can detect cancer, and self-driving cars are being seen as Artificial Intelligence.

The Global Enterprise Artificial Intelligence Market is segmented on the basis of Product Type, Application, End Use Industry and Region. On the Basis of Product Type segment, the Enterprise Artificial Intelligence Market is sub segmented into Business Intelligence, Customer Management, Marketing. Based on End Use Industry segment, the Enterprise Artificial Intelligence Market is sub segmented into Retail, Medical Insurance, Automobile Industry, Aerospace.

The Asia-Pacific region is projected to register a highest growth in the market between 2020 and 2024. The growing end-user industry is the key driver of the market in the region. Europe is projected to witness a slow growth during the forecast period due to stringent environment norms in the region. North America is one of the fastest-growing regions in the global market. It is expected to witness a higher growth rate during the enterprise artificial intelligence market forecast period, owing to presence of the key artificial intelligence companies in the region.

Some of the Enterprise Artificial Intelligence Market manufacturers involved in the market are SAS Institute (U.S.), IBM (U.S.), Microsoft (U.S.), Amazon Web Services (U.S.), Intel (U.S.), Google (U.S.), SAP SE (Germany), Sentinent Technologies (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise (U.S.), Wipro Technologies (India), Acquisitions and effective mergers are some of the strategies adopted by the Enterprise Artificial Intelligence Market manufacturers. New product launches and continuous technological innovations are the Enterprise Artificial Intelligence Market strategies adopted by the major players.

Buy Enterprise Artificial Intelligence Market analysis & forecast 2020-2024 Report along with complete TOC@ https://www.businessindustryreports.com/buy-now/247148/single.

Latest Industry Updates:

Microsoft:- Today, the two companies' work together in detecting retinal diseases such as diabetic retinopathy is featured in a new TV commercial. The debut of the commercial, part of a campaign that highlights the work of Microsoft customers and features artist Common, is certainly exciting for Chandrasekhar, but not as exciting as the potential impact of the work itself.

"AI can complement the doctors and assist them in making a faster diagnosis," he said. That faster diagnosis is significant in countries like India, where diabetes is on the rise. With that rise comes an increase in cases of diabetic retinopathy, a condition where high blood sugar damages the eye and can eventually lead to blindness. When Chandrasekhar founded Forus Health in 2010, the biggest bottleneck in detecting diabetic retinopathy was that the devices used to do so were expensive and could only be found in hospitals."We felt it was important that we make a product that has the ability to reach a larger section of people," he said.

That product is the 3nethra classic, which can be attached to the back of a moped and transported to remote locations, where it scans hundreds of villagers in public health centers every day. The device operator needs only minimal training to complete the scans, which are sent through the cloud to be reviewed by an ophthalmologist.

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Table of Contents:

1 Enterprise Artificial Intelligence Definition

2 Global Enterprise Artificial Intelligence Market Major Player Share and Market Overview

3 Major Player Enterprise Artificial Intelligence Business Introduction

4 Global Enterprise Artificial Intelligence Market Segmentation (Region Level)

5 Global Enterprise Artificial Intelligence Market Segmentation (Product Type Level)

6 Global Enterprise Artificial Intelligence Market Segmentation (Industry Level)

7 Global Enterprise Artificial Intelligence Market Segmentation (Channel Level)

8 Enterprise Artificial Intelligence Market Forecast 2020-2024

TOC continue.............................

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BusinessindustryReports.com is digital database of comprehensive market reports for global industries. As a market research company, we take pride in equipping our clients with insights and data that holds the power to truly make a difference to their business. Our mission is singular and well-defined - we want to help our clients envisage their business environment so that they are able to make informed, strategic and therefore successful decisions for themselves.

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