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Government Cloud Computing Market 2021-2025: Business Growth, Opportunities, Driving Factors by Manufacturers (AWS, Microsoft, Oracle, IBM, Google, Salesforce, Cisco, Vmware)

03-04-2021 05:33 PM CET | IT, New Media & Software

Press release from: Business Industry Reports

Government Cloud Computing Market

Government Cloud Computing Market

Global Government Cloud Computing Market Synopsis:

The exclusive research report on the Global Government Cloud Computing Market 2021-2025 examines the market in detail along with focusing on significant market dynamics for the key players operating in the market. Global Government Cloud Computing Industry research report offers granulated yet in-depth analysis of revenue share, market segments, revenue estimates and various regions across the globe.

According to the market research study, Cloud Computing is transforming businesses across different industries by delivering hosted services through the internet with significant cost benefits. Government organizations are recognizing the advantages of information technology to increase operational efficiencies. They are also focusing on reducing the cost of IT ownership through cloud computing. Thus, efficient service delivery capability and cost saving are the major drivers of cloud computing adoption in government.

Available Exclusive Sample Copy of this Report @ https://www.businessindustryreports.com/sample-request/284167 .

Significant points in table of contents: Market Definition, Market Overview, Business Introduction, Segmentation (Region Level), Segmentation (Type Level), Segmentation (Industry Level), Segmentation (Channel Level), Market Forecast Year, Segmentation Type, Segmentation Industry, Market Cost Analysis, and Conclusion. The Government Cloud Computing Market is segmented based on Product, source, application and Regions. On the basis of product, the market is sub-segmented.

Regionally, North America accounts for largest share in the Cloud Computing Market in Government. The market in North America is mainly driven by the U.S. government’s cloud computing initiatives such as Federal Cloud Computing Initiative, which is a plan to transition the U.S federal government’s information technology infrastructure to web-based IT services.

Top Major Key Players in the Global Government Cloud Computing Market:

1 Microsoft

2 Oracle

3 Amazon Web Services

4 IBM

5 Google

6 Salesforce

7 Cisco Systems

8 Dell Technologies

9 Vmware and More…………….

Purchase this report online with 90 Pages, List of Tables & Figures and in-depth Table of Contents on “Global Government Cloud Computing Market Report 2021” @ https://www.businessindustryreports.com/buy-now/284167/single .

Product Type Segmentation

1 Infrastructure as a Service (IaaS)

2 Platform as a Service (PaaS)

3 Software as a Service (SaaS)

Industry Segmentation

1 Local and State Government

2 Defense and Military

International Business News:

Amazon Web Services (AWS) (February 24, 2021) - AWS Announces General Availability of Amazon Lookout for Vision - Today, Amazon Web Services, Inc. (AWS), announced the general availability of Amazon Lookout for Vision, a new service that analyzes images using computer vision and sophisticated machine learning capabilities to spot product or process defects and anomalies in manufactured products. By employing a machine learning technique called “few-shot learning,” Amazon Lookout for Vision is able to train a model for a customer using as few as 30 baseline images. Customers can get started quickly using Amazon Lookout for Vision to detect manufacturing and production defects (e.g. cracks, dents, incorrect color, irregular shape, etc.) in their products and prevent those costly errors from progressing down the operational line and from ever reaching customers. Together with Amazon Lookout for Equipment, Amazon Monitron, and AWS Panorama, Amazon Lookout for Vision provides industrial and manufacturing customers with the most comprehensive suite of cloud-to-edge industrial machine learning services available. With Amazon Lookout for Vision, there is no up-front commitment or minimum fee, and customers pay by the hour for their actual usage to train the model and detect anomalies or defects using the service.

In today’s manufacturing industry, production line shutdowns due to missed defects or quality inconsistencies can result in millions of dollars of cost overruns and lost revenue every year. To avoid these expensive issues, industrial companies must maintain constant diligence to ensure quality control. Quality assurance in industrial processes typically requires human inspection, which can be tedious and inconsistent at best, or at worst, infeasible. Computer vision brings the speed and accuracy needed to identify defects consistently; however, implementing traditional computer vision solutions can be complex. Building computer vision models from scratch requires large amounts of carefully labeled images for each element of the manufacturing process. Then, teams of data scientists need to build, train, deploy, monitor, and fine tune computer vision models to analyze each individual phase of the product inspection process. Even small changes in the manufacturing process (e.g. replacing an out of stock component with an equivalent alternative, updates to the product specifications, or a change in lighting) means having to retrain and redeploy the individual model and perhaps other models downstream in the production process, which is tedious, complex, and time consuming. Because of these barriers, computer vision-powered visual anomaly systems remain out of reach for the vast majority of companies.

Amazon Lookout for Vision offers customers a highly accurate, low-cost anomaly detection solution that uses computer vision to process thousands of images an hour to spot defects and anomalies – with no machine learning experience required. Customers send camera images to Amazon Lookout for Vision in real-time to identify anomalies, such as damage to a product’s surface, missing components, and other irregularities in production lines. Utilizing a machine learning technique called few-shot learning (where the machine learning model is able to classify data based on a very small amount of training data), the service needs as few as 30 images of the acceptable and anomalous state as a baseline to begin assessing machine parts or manufactured products.

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Major Points in Table of Contents:

Global Government Cloud Computing Market Report 2021

1 Government Cloud Computing Product Definition

2 Global Government Cloud Computing Market Manufacturer Share and Market Overview

2.1 Global Manufacturer Government Cloud Computing Shipments

2.2 Global Manufacturer Government Cloud Computing Business Revenue

2.3 Global Government Cloud Computing Market Overview

2.4 COVID-19 Impact on Government Cloud Computing Industry

3 Manufacturer Government Cloud Computing Business Introduction

3.1 Microsoft Government Cloud Computing Business Introduction

3.2 Oracle Government Cloud Computing Business Introduction

3.3 Amazon Web Services Government Cloud Computing Business Introduction

3.4 IBM Government Cloud Computing Business Introduction

3.5 Google Government Cloud Computing Business Introduction

3.6 Salesforce Government Cloud Computing Business Introduction

About us

BusinessindustryReports.com is a 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 hold 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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