Category Archives: Cloud Computing

Cloud Computing Market Could Surpass $830 Billion Within 5 Years – ETF Trends

A report from MarketsAndMarkets noted that the global cloud computing market size is forecasted to grow from USD $371.4 billion in 2020 to USD $832.1 billion by 2025. Covid-19 put a heavier reliance on tech with cloud computing as one of the sub-sectors benefiting from the pandemic.

During the present global pandemic crisis, many companies (and governmental agencies) are utilizing cloud computing software services room booking services, a PR news release said. Meeting arrangement is considered as a routine activity in organizations, yet in these times, it can become problematical and time-consuming if there is not an efficient booking process.

Meeting organizers are tasked with gathering a group of executives together at the same time and place in a safe manner, the release added. This may involve communicating back and forth with attendees via email or phone. Fixing a corporate meeting can be thus, a tedious job. It requires multi-tasking wherein the organizer needs to focus on various factors such as making bookings for the meeting rooms and arranging a projector, and other audio-visual gadgets. According to Research Reports the Meeting Room Booking System Software market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

One exchange-traded fund to look at is theGlobal X Cloud Computing ETF (Nasdaq: CLOU). Seeking to track the Indxx Global Cloud Computing Index, the fund holds a basket of companies that potentially stand to benefit from the continuing proliferation of cloud computing technology and services.

The cloud computing industry refers to companies that (i) license and deliver software over the internet on a subscription basis (SaaS), (ii) provide a platform for creating software applications which are delivered over the internet (PaaS), (iii) provide virtualized computing infrastructure over the internet (IaaS), (iv) own and manage facilities customers use to store data and servers, including data center Real Estate Investment Trusts (REITs), and/or (v) manufacture or distribute infrastructure and/or hardware components used in cloud and edge computing activities.

CLOU data by YCharts

Another fund to consider is the WisdomTree Cloud Computing Fund (WCLD). The fund seeks to track the price and yield performance of the BVP Nasdaq Emerging Cloud Index, which is designed to track the performance of emerging public companies primarily involved in providing cloud computing software and services to their customers. It is non-diversified.

For more market trends, visit theETF Trends.

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Cloud Computing Market Could Surpass $830 Billion Within 5 Years - ETF Trends

Global Cloud Computing in Healthcare Industry Growth Analysis 2020-2026 with Market Share, Size, Trends, Revenue, CAGR and SWOT Analysis – The Daily…

Global Cloud Computing in HealthcareMarket 2020-2027

The global Cloud Computing in Healthcaremarket report examines the market position and viewpoint of the market worldwide, from various angles, such as from the key players point, geological regions, types of product and application. This Cloud Computing in Healthcarereport highlights the key driving factors, constraint, opportunities, challenges in the competitive market. It also offers thorough Cloud Computing in Healthcareanalysis on the market stake, classification, and revenue projection. The Cloud Computing in Healthcaremarket report delivers market status from the readers point of view, providing certain market stats and business intuitions. The global Cloud Computing in Healthcareindustry includes historical and futuristic data related to the industry. It also includes company information of each market player, capacity, profit, Cloud Computing in Healthcareproduct information, price, and so on.

The latestCloud Computing in Healthcaremarket report published by Reports and Markets offers a competency-based analysis and global market estimate, developed using evaluable methods, to provide a clear view of current and expected growth patterns. The report also contains market analysis by geographic location across the globe as well as major markets.

Drivers and Constraints

TheCloud Computing in Healthcaremarket remains amalgamated with the key players contributing majorly towards the growth of the market. This analysis of the drivers and constraints discusses the factors that are contributing majorly towards the growth of theCloud Computing in Healthcaremarket, while also providing information on the potential risks and threats that may lead to a slowdown in the growth process. Besides the analysis on growth factors and threats, the report also analyzes the opportunities present in the market, which would help companies to come up with strategies, by going through the advanced market study over the forecast period.

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Our new sample is updated which correspond in new report showingPostimpact of COVID-19 on Industry

This Report covers the manufacturers data, including: shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size, volume and value, as well as price data.Besides, the report also covers segment data, including: type segment, industry segment, channel segment etc. cover different segment market size, both volume and value. Also cover different industries clients information, which is very important for the manufacturers.

The key manufacturers covered in this report are @ Epic Systems Corporation, NextGen Healthcare, Merge Healthcare, Inc., Cerner Corporation, CareCloud Corporation, Athenahealth, ClearData Networks Inc., Siemens Healthineers, Sectra AB, and Agfa HealthCare

The report provides a calculated assessment of theCloud Computing in Healthcaremarket data analyzed. It explains different opportunities for different industries, suppliers, organizations, and associations that offer different products and services, for example, by giving specific guidance on how to expand in the competition for reliable consumer services. The report provides detailed information on major market competitors and emerging companies with significant market share based on high-quality demand, revenue, sales, product manufacturers, and service providers.

Based on the demand and methods currently used by major market players, the market report provides detailed and succinct evaluations as well as predictions of structured future market growth rates. For better analysis, the report divides the market into different segments of the global market based on various parameters, including product or service quality, applications, and methods. The Cloud Computing in Healthcaremarket report provides comprehensive statistics on changes in product types, innovation, and progress that may be caused by inconsequential variations in the product profile. Trends such as mergers and acquisitions play a critical role in the business operation and expansion as every region holds its own exclusivity in terms of production conditions, potential consumers, geographic benefits for resource procurement, and others.

TheCloud Computing in Healthcaremarket report contains comprehensive information on the most important factors that drive or slow the companys growth. The report contains an investigation into the evolution of competitive dynamics. It also provides specific information that helps you choose the right executions and steps for your business. It analytically presents information in the form of flowcharts, facts, diagrams, statistical graphs, and figures that show the status of relevant transactions on the global and regional levels.


The recent report on theCloud Computing in Healthcaremarket provides a detailed analysis of the market at different levels. This report consists of information about the end-users and the major companies that are influencing the growth of theCloud Computing in Healthcaremarket. The report provides an overall insight into the market trends, market shares, and the challenges that are faced by the manufacturers and the companies that are present in the market. The report provides an overall analysis of the past and present-day market performance. It includes various company profiles, key financial information, product offerings, and the recent developments that took place in the market over the years.

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The report offers in-depth assessment of the growth and other aspects of the Cloud Computing in Healthcaremarket in important countries (regions), including:

North America


Asia Pacific Counter

Middle East & Africa

Latin America

America Country (United States, Canada)

South America

Asia Country (China, Japan, India, Korea)

Europe Country (Germany, UK, France, Italy)

Other Country (Middle East, Africa, GCC)

Reasons to Buy this Report

Gain detailed insights on theCloud Computing in Healthcareindustry trends

Find complete analysis on the market status

Identify theCloud Computing in Healthcaremarket Counteropportunities and growth segments

Analyze competitive dynamics by evaluating business segments & product portfolios

Facilitate strategy planning and industry dynamics to enhance decision making

Research Methodology

The data that has been collected is from a multitude of different services that include both primary and secondary sources. The data also includes a list of the different factors that affect the Cloud Computing in Healthcaremarket either positively or negatively. The data has been subjected to a SWOT analysis that can be used to accurately predict the various parameters that are used to measure a companys growth. The strengths along with various weaknesses faced by a company are included in the report along with a comprehensive analysis of the different threats and opportunities that can be exploited.

Method of Research

The report on theCloud Computing in Healthcaremarket is a detailed research report, conducted by the research analysts and experts using the parameters of Porters Five Force Model, to assess the competition in the market. The inputs provided by industry experts also focus on the value chain across the globe. The research analysis provides an in-depth analysis of the market dynamics, the impact of governing factors in different regions, etc. the comprehensive research is divided into two parts, namely primary and secondary research. The report analyzes the strengths, weaknesses, opportunities, threats, etc in theCloud Computing in Healthcaremarket, with the help of this the companies can build strategies to grow in the market.


The report published on the globalCloud Computing in Healthcaremarket is a comprehensive analysis of a variety of factors that are prevalent in the Cloud Computing in Healthcaremarket. An industrial overview of the global market is provided along with the market growth hoped to be achieved with the products that are sold. Major companies who occupy a large market share and the different products sold by them in the global market are identified and are mentioned in the report. The current market share occupied by the globalCloud Computing in Healthcaremarket from the year 2019to the year 2025 has been presented.


1 Report Overview

2 Global Growth Trends

3 Market Share by Key Players

4 Breakdown Data by Type and Application

5 United States

6 Europe

7 China

8 Japan

9 Southeast Asia

10 India

11 Central & South America

12 International Players Profiles

13 Market Forecast 2020-2027

14 Analysts Viewpoints/Conclusions

15 Appendix

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Global Cloud Computing in Healthcare Industry Growth Analysis 2020-2026 with Market Share, Size, Trends, Revenue, CAGR and SWOT Analysis - The Daily...

Snowflake’s IPO is a bet on companies using AI for everything – Quartz

Snowflake, the buzzy cloud computing company, just delivered the biggest software IPO ever by betting on a future in which all businesses increasingly rely on big data and AI to make decisions. Its stock began trading on Sept. 16 at $245 per sharemore than double the $120 price Snowflake set the day earliergiving it an opening valuation of $67.9 billion.

The startups main value proposition is that it makes it easier and cheaper for businesses to analyze data theyve shelved away on the cloudincluding the massive datasets needed to train machine learning algorithms. Because Snowflake structures its software differently, it can run resource-intensive AI programs more efficiently than its competitors, including juggernauts like Amazons AWS and Microsofts Azure.

Snowflake is very important because they can challenge the Amazon AWS power, said Per Roman, managing partner and co-founder of investment firm GP Bullhound. Amazons cloud service controls nearly half the global market, and takes much of the web down with it whenever it experiences disruptions.

Snowflake is only able to take on a dominant, entrenched competitor like AWS because it has come up with a better solution for one problem: allowing companies to cheaply expand their reliance on AI to help them with an ever-growing set of business decisions. That is the vision Wall Street valued at roughly $70 billion today.

AI requires two key ingredients: huge troves of data and a lot of computing power. If you have both, you can monitor the performance of your business in granular detail (and in real time) to predict future conditions. Snowflake can help companies do this kind of analysis more often and at a lower cost: In July, Snowflake handled 507 million requests per day from companies looking to track key data points in real time, according to its IPO filing.

Snowflake differentiates itself from competitors like AWS through its software architecture. The company divides its massive pool of computing power into three groups: One is dedicated to storing data, another is just for analyzing that data, and the third is a brain that keeps the other two running. The system can dedicate more resources to storage or data analysis on the fly, depending on demand.

AWS offers similar services, doesnt separate data storage and analysis, which means clients effectively pay for more analytical computing power they may not use. Snowflake, by comparison, only charges clients for exactly as much storage and computing power as they need. Snowflake also makes it easier for companies to share data with clients and partners, or to buy and sell datasets on an internal marketplace.

Roman said that every company is trending towards a future in which theyll rely on cloud services to store and analyze data. All enterprises, from the largest in the world to your small mom-and-pop shop, need to migrate their computing storage and systems into the cloud, he said. Snowflakes soaring valuation suggests that investors have bought into this bet on ubiquitous AI.

But as businesses are increasingly adopting AI to inform their strategies and automate everything from resume review to ER triage, a string of high-profile scandals has made corporate executives think twice about their use of big data. Shifting public opinion, new government regulations, and the cost of compliance could change companies calculus about AIand send Snowflakes valuation drifting back down to Earth.

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Snowflake's IPO is a bet on companies using AI for everything - Quartz

Will Amazon Split Its Stock? – The Motley Fool

Could e-commerce and cloud-computing giant Amazon (NASDAQ:AMZN) announce a stock split in the near future? It's quite possible. After all, shares are trading at a lofty $3,000 each.

Assuming shares are trading at this level at the time of a 6-for-1 split, it would put shares at a nice, even $500. Even better for shareholders unwilling to shell out $500 for a single stock, a 15-for-1 split could get shares down to about $200.

Stock splits have been all the rage lately in the financial media. Both Appleand Teslarecently split their stocks, making them more accessible to a wider base of investors. Apple split its stock on a 4-for-1 basis last month and Tesla split its stock on a 5-for-1 basis on the same day.

Perhaps Amazon will be one of the next megacap stocks to jump on the recent stock-split bandwagon.

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A stock split wouldn't be a new idea for Amazon's board. Since the company's initial public offering in 1997, Amazon has split its stock three times:

With shares up 3,800% since the company's last stock split, it wouldn't be surprising to see Amazon execute another stock split soon. At $3,000 a share, the stock isn't very accessible to many retail investors -- particularly those whose brokers don't let customers buy fractional shares.

Investors should keep in mind that stock splits do nothing to make stocks better investments. A stock split is simply a form of financial engineering in which shares are split up while the value of a shareholder's total stake in the company remains the same. For instance, an Amazon shareholder's stake in the e-commerce and cloud-computing company would be the same before and after a 15-for-1 stock split.

Image source: Getty Images.

The best way to visualize the mechanics of a stock split is to picture a pizza before and after it's sliced. Both before and after it's cut, the pizza is the same size and offers the same amount of underlying calories to be consumed. Similarly, a shareholder's ownership in Amazon will be the same both before and after a stock split. After a 15-for-1 stock split, the total value of the 15 shares will simply equal what one share was worth before the split.

Potential stock split aside, Amazon remains an intriguing investment. While investors have to pay a premium valuation (a factor that's notably unaffected by stock splits) to get in on this growth story, the company's business is booming. Second-quarter revenue surged 40% year over year to $88.9 billion, and operating income soared from $3.1 billion in the year-ago quarter to $5.8 billion. Positioned to benefit from the rapidly growing e-commerce and cloud-computing markets, Amazon's business will likely continue growing by strong double-digit rates for years to come.

With shares trading at an extremely high price of $3,000, and given the company's underlying momentum, it seems like a great time for Amazon to split its stock. Of course, there's no guarantee it will.

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Will Amazon Split Its Stock? - The Motley Fool

How to deal with the challenges of cloud storage vs. SAN – TechTarget

By moving data storage to the cloud, businesses can focus more on the core competencies of supporting their business model.

For instance, cloud services simplify the data center backup and recovery processes, enabling a smaller staff to manage them. You no longer must manage a large backup infrastructure but, instead, can handle recovery with a few mouse clicks. Large cloud providers offer data redundancy across geographically disparate data centers, in turn, making your data safer.

Among the greatest benefits of the cloud are the rapid deployment of resources and timely decision-making. These advantages are particularly relevant today with COVID-19 and so many people working from home. Entire environments can be spun up in hours versus months. Cloud services are perfect for rapidly changing workloads and quick responses to emergencies.

Nevertheless, there are many challenges when extending the storage infrastructure into the cloud. What follows is a look at 13 areas where challenges arise in managing cloud storage vs. a local SAN, including:

Cloud storage challenges often relate to the choice of a cloud provider. With a local SAN, there's more variability and flexibility in dealing with problems. It's important to know how to handle the challenges of cloud storage vs. a local SAN. The best approaches require due diligence and a proactive process to make the correct choices for your business.

Costs are difficult to plan for and manage with cloud deployments. The ability to rapidly expand resources is a key cloud advantage in the cloud storage vs. SAN debate, but costs can skyrocket when it's so easy to create new environments.

Do an audit to estimate your cloud infrastructure costs, including the ones involved with:

Outbound data transfer is charged at the normal rate. Inbound data transfer is free. It will cost more to bring servers and data back on premises than to move them to the cloud. There's no direct comparison among providers because each offers different options, including pay as you go, reserved volume discounts and instances per second used.

You should have an exit strategy because data lock-in is the most difficult risk to mitigate, especially in a cloud deployment where it's difficult to switch vendors.

Obtaining automated and detailed usage reports for cost tracking and reporting is challenging. Third-party management and reporting tools, such as Datadog, Dynatrace and SolarWinds, can be helpful.

Cost management in a local SAN environment centers on hardware lifecycle management, service contract management and managing the capital expenses that go with those items in the budget. Lifecycle management and proper planning of hardware replacements is key to reducing costs when managing a local environment; hardware support costs can spiral after five years.

Other cloud storage challenges come up when considering migration issues. A cloud migration plan must consider all the workloads to be transferred to the cloud and the sequence for migrating them. Consider using professional services to help design and build a step-by-step approach, which, in turn, enables the implementation team to learn as it goes and to create detailed documentation.

A local SAN migration plan must consider the underlying network infrastructure and compatibility. For instance, the old SAN or Ethernet network might be 10 GB and the new 25 GB. Software migration tools can help. Vendors often provide these tools free, but they can be difficult to use. Third-party tools, such as Datadobi, also are available. Migrating to an entirely different hardware platform requires attention to security, protocols, IP and name changes, and shares. Proper planning is key whether planning a migration in the cloud or locally.

Why move back from the cloud? Many factors may drive the need for some resources to move back on premises. Keeping data in the cloud can become less cost-effective over time. Other issues can come up related to data control and security, performance, I/O requirements and vendor lock-in.

Proper planning for high-performance applications or ones that have specific data-compliance requirements is critical. Some of these applications are better suited to the local SAN environment.

There's no standardization of cloud service-level agreements (SLAs). Each provider has its own SLA metrics, restrictions and exceptions related to service availability and standards. Consider your organization's availability, response time, capacity and support requirements. Pay close attention to all legal requirements for data security and determine who's accountable for failures.

Local SAN management requires custom SLAs based on local resources and mutual agreements between the business groups and the SAN management team. It's important to review and create manageable and realistic agreements that the local IT team can support with back up from vendors.

In a cloud environment, security risks are important to consider when customizing for the integration of mobile deployments, deployment of content in multiple markets and the handling of personally identifiable information. Legal agreements may be needed with a cloud provider to ensure the compliance of any customization.

The same considerations apply with a local SAN. Proper planning for business applications is critical, and the environment must be customized for specific application needs, such as disk I/O and network bandwidth. However, it's up to the local team to ensure the environment is properly customized for all business requirements.

Other cloud storage challenges relate to security and compliance. For one thing, cloud computing widens the potential attack surface. While the cloud provider is responsible for physical security, business continuity, DR and network security, additional security controls and responsibilities are left to the customer.

Security and regulatory requirements often dictate what can and can't be moved to the cloud. With the numerous state, federal and international requirements -- including Sarbanes-Oxley Act, Criminal Justice Information Services, HIPAA, GPDR, and the Family Education Rights and Privacy Act -- it may make sense to store data locally.

When considering cloud storage vs. SAN, security requirements are similar. Again, it's the difference between a vendor contract ensuring compliance and a local team making sure the requirements are met. You need to understand your security goals, what each provider offers and who's responsible for what.

From a cloud deployment perspective, consider your environment and how the provider's offerings fit in to your workflows. Microsoft Azure may make sense for an organization that's already using a lot of Microsoft software. Amazon or Google cloud services might make sense if you use either vendor's other services.

From a local SAN management perspective, architecture design hinges on striking a balance between price and performance to meet business needs. Other considerations include business continuity, security, reporting, backup and recovery.

When looking at the challenges of cloud storage, compatibility is more of a cloud deployment issue than a local one. In the cloud there are more SaaS and PaaS options. Application compatibility testing is critical, but it's also complex. When testing identifies compatibility issues, other options such as infrastructure, PaaS and SaaS can be considered. Ensure that an assessment and compatibility test is completed prior to any migrations.

Business continuity and data recovery can be easier in the cloud because of built in recovery options. The biggest challenges for data recovery from the cloud are related to operational recoveries, including bandwidth consumption, the cost of bringing data back and the time it takes to recover data. Many critical workloads may need to remain on premises for these reasons.

Local data recovery is often more complex because an alternate disaster recovery location is often needed above and beyond the built-in tools in a storage system. This can mean buying twice as much hardware and supporting a separate DR site. Understanding the needs of the business is crucial, as long-term backup and failover options may be needed in addition to local snapshots and basic operational recovery at a single local site.

Consider the level and form of support you'll need before you choose a cloud provider. The most important options vary among providers. They include 24/7 support and response time, tools to monitor and report on your environment, consultative agreements, dedicated account managers and engineers, and proactive reviews with subject-matter experts.

Local SAN architecture has the same considerations, but you must ensure there are enough staff members with the appropriate training to support the infrastructure, as well as the appropriate support contracts in place to get help from vendors when needed.

Lock-in is a consideration for both cloud and local deployments. When assessing a vendor, review your migration goals and current infrastructure costs and resources, and look at each vendor carefully. You should have an exit strategy because data lock-in is the most difficult risk to mitigate, especially in a cloud deployment where it's difficult to switch vendors. Set up your data for maximum portability.

Manageability can underscore the challenges of cloud storage vs. SAN. Cloud services can reduce infrastructure manageability. For instance, direct access to server consoles and direct control over what's running on shared infrastructure is limited. All service providers support different orchestration tools and integrate with different services. An organization must consider what level of control it requires over its environment.

In a local SAN deployment, vendors generally offer management tools. There are also numerous vendor-neutral options. It's critical to do demos and find what suits your needs.

Cloud computing enables IT staff to rapidly develop complex systems and deploy them across the globe, but this approach can create reliability risks. Cloud providers are continuously developing new ideas and including them in their services. The rapid rate of change can cause service failures. Consider globally redundant cloud offerings for maximum recoverability and reliability.

Local deployments require more planning and management to ensure business continuity, generally with multiple sites and redundant hardware. Options to consider include replication to third-party cloud vendors and the creation of a local business continuity plan with redundant hardware at a privately owned alternate location.

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How to deal with the challenges of cloud storage vs. SAN - TechTarget

Trending News 2020 Covid-19 impact on Cloud Intelligent Computing Chip Industry Trends, Statistics, Size, Share, Growth, by Key Players Industry…

Global Cloud Intelligent Computing Chip Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread)

Global Cloud Intelligent Computing Chip Market Report offers an entire study of the Impact of COVID-19 on Cloud Intelligent Computing Chip Market, Industry Outlook, Opportunities in Market, and Expansion By 2025 and also taking into consideration key factors like drivers, challenges, recent trends, opportunities, advancements, and competitive landscape. This report offers a clear understanding of this also as a future scenario of the worldwide Cloud Intelligent Computing Chip industry. Research techniques like PESTLE and SWOT analysis are deployed by the researchers. They need also provided accurate data on Cloud Intelligent Computing Chip production, capacity, price, cost, margin, and revenue to help the players gain a clear understanding of the general existing and future market situation.

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Cloud Intelligent Computing Chip Market competition by top manufacturers/Key player Profiled:Cambricon, Nvidia, Huawei Hisilicon

The study objectives of Cloud Intelligent Computing Chip Market report are: 1.To identify opportunities and challenges for Global Cloud Intelligent Computing Chip.2.To provide insights about factors affecting market growth. To analyze the Cloud Intelligent Computing Chip market based on various factors- price analysis, supply chain analysis, SWOT analysis, etc.3.To identify and analyze the profile of leading players involved within the manufacturing of worldwide Cloud Intelligent Computing Chip.4.To provide country-level analysis of the market regarding the present Cloud Intelligent Computing Chip market size and future prospective.5.To examine competitive developments like expansions, new product launches, mergers & acquisitions, etc., in Global Cloud Intelligent Computing Chip.6.To provide a detailed analysis of the market structure alongside forecast of the varied segments and sub-segments of the worldwide Cloud Intelligent Computing Chip market.

By Types, the Cloud Intelligent Computing Chip Market can be Splits into:


By Applications, the Cloud Intelligent Computing Chip Market can be Splits into:

Cloud Computing Data CenterEnterprise Private Cloud

With the slowdown in world economic growth, the Cloud Intelligent Computing Chip industry has also suffered a certain impact, but still maintained a relatively optimistic growth, the past four years, Cloud Intelligent Computing Chip market size to maintain the average annual growth rate of xx from xx million $ in 2015 to xx million $ in 2020, This Report analysts believe that in the next few years, Cloud Intelligent Computing Chip market size will be further expanded, we expect that by 2025, The market size of the Cloud Intelligent Computing Chip will reach xx million $.This Report covers the manufacturers data, including: shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size, volume and value, as well as price data.

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Regions Covered in these Report:

Asia Pacific (China, Japan, India, and Rest of Asia Pacific)Europe (Germany, the UK, France, and Rest of Europe)North America (the US, Mexico, and Canada)Latin America (Brazil and Rest of Latin America)Middle East & Africa (GCC Countries and Rest of Middle East & Africa)

Global Cloud Intelligent Computing Chip Market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of Cloud Intelligent Computing Chip Market for Global, Europe, North America, Asia-Pacific, South America and Middle East & Africa.

Reasons To Buy: Make strategic business decisions using in-depth historic and forecast market data associated with the Cloud Intelligent Computing Chip market, and every category within it.Extensive price charts draw particular pricing trends within recent yearsPosition yourself to realize the most advantage of the Cloud Intelligent Computing Chip markets growth potentialTo understand the latest trends of the Cloud Intelligent Computing Chip marketTo understand the impactful developments of key players within the market, their strategic initiatives and comprehensively study their core competencies

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Table of Contents

Report Overview:It includes major players of the global Cloud Intelligent Computing Chip Market covered in the research study, research scope, and Market segments by type, market segments by application, years considered for the research study, and objectives of the report.

Global Growth Trends:This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the global Cloud Intelligent Computing Chip Market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the global Cloud Intelligent Computing Chip Market are discussed.

Market Share by Manufacturers:Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers.

Market Size by Type:This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed.

Market Size by Application:Besides an overview of the global Cloud Intelligent Computing Chip Market by application, it gives a study on the consumption in the global Cloud Intelligent Computing Chip Market by application.

Production by Region:Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided.

Consumption by Region:This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type.

Company Profiles:Almost all leading players of the global Cloud Intelligent Computing Chip Market are profiled in this section. The analysts have provided information about their recent developments in the global Cloud Intelligent Computing Chip Market, products, revenue, production, business, and company.

Market Forecast by Production:The production and production value forecasts included in this section are for the global Cloud Intelligent Computing Chip Market as well as for key regional markets.

Market Forecast by Consumption:The consumption and consumption value forecasts included in this section are for the global Cloud Intelligent Computing Chip Market as well as for key regional markets.

Value Chain and Sales Analysis:It deeply analyzes customers, distributors, sales channels, and value chain of the global Cloud Intelligent Computing Chip Market.

Key Findings: This section gives a quick look at important findings of the research study.

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Trending News 2020 Covid-19 impact on Cloud Intelligent Computing Chip Industry Trends, Statistics, Size, Share, Growth, by Key Players Industry...

Securing healthcare organizations when moving to the cloud – Techradar

Organizations across industries have been forced to adapt and adjust digital transformation initiatives to meet the needs of a changing world. While the healthcare industry has a history of embracing new technologies and digital transformation (DX) more slowly than other industries, COVID-19 has served as a driving force for the recent acceleration of such initiatives.

With a shortened timeline to launch new technologies, security and business continuity flaws can quickly arise. Therefore, it is critical that healthcare organizations take the necessary steps to review their IT infrastructure to ensure that new / existing technologies meet the Health Insurance Portability and Accountability Act (HIPAA) as well as perform critical data security and backup functions to ensure business continuity.

As the healthcare industry adapts to new patient and physician needs, the demand for cloud-based solutions and telehealth offerings has increased. In 2019, only 11 percent of U.S. consumers used telehealth offerings, but now, 46 percent of consumers conduct their healthcare appointments via telehealth platforms. Additionally, according to Dattos 2020 State of the MSP report, upwards of 70 percent of respondents, including managed service providers (MSPs) who work with healthcare institutions, are projected to use Microsoft 365 cloud services within the next two years and anticipate cloud migrations to be the top business driver in 2020.

Some of the most recent healthcare organizations shifting to cloud computing services include Cerner, Allscripts, and MEDITECH. But what these companies, and many others, may not realize is that the cloud solutions they choose such as Google G suite and Microsoft 365, dont provide the level of security and business continuity processes needed to protect sensitive data, while remaining HIPAA compliant.

This is because the cyber threat landscape is expanding rapidly. In fact, 75 percent of healthcare organizations have experienced a cyberattack in their lifetime; 53 percent in just the last year. COVID-19 related fear and uncertainty adds to the chaos with malicious hackers employing techniques related to the pandemic to infiltrate healthcare organizations. In order for healthcare cyber security teams to be able to effectively address the threat landscape, improve their overall security posture and protect patient data, it is critical that they take a proactive approach to IT by implementing an effective software-as-a-service (SaaS) protection solution.

While moving to the cloud is an important and necessary step to meet DX demands, several risks must be considered and monitored throughout the process. First and foremost, data created in cloud-based offerings like Microsoft 365 and Google G Suite are just as vulnerable to accidental deletion, ransomware, and other corruption as data stored in on-premise applications. Additionally, many SaaS application user agreements state that data protection, data-level security, and long-term retention are ultimately the responsibility of the end-user.

This is why many cloud-based vendors like Microsoft typically recommend a shared responsibility model, a third-party backup solution (such as SaaS protection), in its Services Agreement. In other words, adding SaaS protection will secure the organizations data against service interruptions, loss of service due to natural disaster or power outage, and prevent unnecessary downtime, which is especially crucial for healthcare organizations which are currently at an increased risk of attack or disruption.

Not only do healthcare organizations have to worry about cyber and data corruption threats when moving to the cloud, but they also have to keep in mind federal regulations, such as HIPAA. For many industries, storing data for extended periods of time is a nice-to-have, but for healthcare, it is legally mandated. Healthcare organizations are required to store patient data for seven years, so loss of data isnt an option.

As the industry shifts to the cloud, cloud solutions such as Microsoft Office 365 will house data for 90 days, which simply wont cut it in healthcare. For example, if an employee were to leave a healthcare institution, the data on their device and account will only be stored for up to 90 days. That means data generated from various patient encounters would be wiped clean, which is in violation of HIPAAs requirements for every healthcare organization to store any and all patient data for seven years.

The healthcare industry as we know it has changed forever. Those institutions that learn and adapt to the changing landscape will come out of the pandemic stronger than ever. Healthcare organizations need to be equipped to meet the growing demand for cloud-based offerings, and securely meet those expectations.

Adopting a cloud-based solution is a crucial first step in a successful DX strategy, but without the proper proactive security measures in place progress stalls and weaknesses become more apparent. Its only a matter of time before its simply too late to patch weaknesses and critical patient data is lost for good, or worse stolen and exploited.

By investing in an effective SaaS protection solution, healthcare organizations can put their worries aside when it comes to data storage and security vulnerabilities and focus on providing the best possible care to their patients.

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Securing healthcare organizations when moving to the cloud - Techradar

Industry experts discuss disparities in cloud ERP –

Industry experts discuss disparities in cloud ERP

Enterprise resource planning systems are among the most complex of any IT software tool - and although change is slow, the market is moving. Chief among these shifts is a move to the cloud - but not all migrations are equal.

Getting the most out of cloud-based ERP involves going beyond simply moving your existing on-premises solution(s) to a cloud environment. A well-implemented SaaS approach can not only transform and enhance these systems, but also evolve approaches to other processes and resources within the organisation.

Chief amongst these is what to do with the time the IT team is able to reclaim once they're no longer having to maintain on-prem ERP infrastructure. How can you use their technical skills to drive the core business instead of getting tied up by day-to- day IT?

In an upcoming webinar - Inside modern ERP: enabling transformation in people and processes - Computing's editorial director Stuart Sumner will join Unit4 CTO Claus Jepsen, the Natural History Museum's head of technology solutions, Richard Arthur Hinton, and Computing content strategist Andrew Hobbs to discuss cloud versus SaaS ERP.

The webinar, and accompanying dedicated research, will seek to address the issue of using IT skills to drive business, and the other key ways modern ERP can catalyse transformation in people and processes. This includes retaining and attracting talent, developing and right technology skills, and determining how ERP fits best into your wider transformation and cloud migration journey.

Register now to hear industry experts discuss the state of the modern ERP market, and the changes the last six months have wrought.

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Industry experts discuss disparities in cloud ERP -

VGT: Buy the Dips in These 3 Tech ETFs –

Since the beginning of the pandemic, there has been a huge disconnect between the economy and the stock markets. Despite second-quarter GDP dropping by 33%, the stock market quickly recovered its losses. Most of the markets gains were concentrated in tech as it was the most resilient and many companies actually saw an increase in sales.

At one point, the Nasdaq was almost 20% above its pre-coronavirus levels. However, in September, we got a much-needed correction with the Nasdaq dropping by nearly 15%. While there were concerns that a bubble was forming in tech, recent earnings reports validate much of the gains in stock prices.

As the tech industry is set to grow substantially in the future, investors should use the market dip to add exposure to technology. ETFs such as Vanguard Information Tech ETF (VGT), iShares Expanded Tech Software Sector ETF (IGV) and First Trust ISE Cloud computing Index Fund (SKYY) can help investors get an all-round exposure to different tech companies.

Vanguard Information Tech ETF (VGT)

VGT invests in notable tech companies of varying market sizes operating in any of the three segments hardware, software, and consulting. This top-heavy ETF allocates a large proportion of its assets to large-cap tech companies, thereby reducing the volatility of the fund. VGTs major holdings include Apple, Inc. (AAPL), Microsoft Corp (MSFT), and Visa, Inc. (V), which make up for 39.6% of its total assets. It has $36.87 billion worth of assets under management (AUM).

VGT has an expense ratio of 0.1% versus the category average of 0.51%. It has returned 23.3% year-to-date and 49.8% in the past six months. VGT pays an annual dividend of $2.87, which yields 0.94% based on its current price. The ETFs dividend payout grew at a CAGR of 19.5% in the past three months.

VGT has gained more than 85% since hitting its 52-week low of $179.45 in March. The ETF hit its 52-week high of $340.74 in September.

How does VGT stack up for the POWR Ratings?

B for Trade Grade

B for Buy & Hold Grade

B for Overall POWR Rating.

It is also ranked #24 out of 94 ETFs in the Technology Equities ETFs group.

iShares Expanded Tech Software Sector ETF (IGV)

IGV primarily invests in mid-cap tech companies operating in the United States. These up-and-coming companies have huge growth potential, and thereby this fund is ideal for investors looking to make substantial capital gains. However, IGVs top holdings include several well-known tech companies with huge market valuation and they help mitigate the overall risk of the portfolio. This passively managed fund with an annual turnover of 0.46% tracks S&P North American Technology- Software Index. It has an AUM of $5.04 billion, with major portfolio holdings such as Adobe (ADBE), Microsoft, and Inc (CRM) accounting for 25.8% of it.

IGVs expense ratio of 0.46% is relatively lower than the category average of 0.51%. The ETF has gained 28.4% year-to-date, and 50.3% in the past six months. IGVs annual dividend of $1.24 yields 0.41% based on its current price.

IGV has gained more than 90% since hitting its 52-week low of $176.23 in March. The ETF hit its 52-week high of $337.08 in September.

Its no surprise IGV is rated a Buy in our POWR Ratings system, with a B for Trade Grade and Buy & Hold Grade. It is ranked #28 out of 94 ETFs in the Technology Equities ETFs group.

First Trust ISE Cloud computing Index Fund (SKYY)

SKYY primarily invests in cloud computing tech companies operating in the United States and globally. It has an AUM of $4.81 billion and invests in companies mainly listed in the ISE Cloud Computing Index. However, it is an actively managed ETF, with an annual turnover of 85%. SKYYs top holdings include several fortune 500 companies such as Amazon (AMZN), Microsoft, Alphabet (GOOGL), and Alibaba (BABA). It has $4.81 billion worth AUM.

SKYY has returned 27.1% to its investors year-to-date, and 55.5% in the past six months. SKYY has an expense ratio of 0.6%, slightly higher than its category average. But given its year-to-date performance, its worth spending a little higher for this fund. It pays $0.18 annually as a dividend, which yields 0.23%. SKYYs dividends have increased at a CAGR of 39.2% in the past three years.

SKYY gained more than 90% to hit its 52-week high of $86.15 in September since hitting its 52-week low of $45 in March. SKYY is rated a Buy in our POWR Ratings system, with a grade of B in Trade Grade and Buy & Hold Grade. It is currently ranked #29 out of 94 ETFs in the Technology Equities ETFs group.

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VGT shares were trading at $296.82 per share on Friday afternoon, down $4.98 (-1.65%). Year-to-date, VGT has gained 22.28%, versus a 3.60% rise in the benchmark S&P 500 index during the same period.

Aditi is an experienced content developer and financial writer who is passionate about helping investors understand the dos and don'ts of investing. She has a keen interest in the stock market and has a fundamental approach when analyzing equities. More...

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VGT: Buy the Dips in These 3 Tech ETFs -

Mobile Edge Computing Market Worth $2.8 billion by 2027- Exclusive Report Covering Pre and Post COVID-19 Market Analysis by Meticulous Research -…

LONDON, Sept. 17, 2020 /PRNewswire/ -- According to a new market research report titled,"Mobile Edge Computing Marketby Component, Application (Location-based Services, Unified Communication, Optimized Local Content Distribution, Data Analytics, Environmental Monitoring), Organization Size, and Region Global Forecast to 2027." Themobile edge computing market is expected to grow at a CAGR of 30.1% from 2020 to 2027 to reach $2.8 billion by 2027.

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Mobile edge computing is a network architecture that enables IT and cloud-computing capabilities at the edge of a cellular network. It is a new option for network providers challenged to meet consumer demands for improved coverage and greater bandwidth. It is mainly used to reduce network congestion and improve applications by performing related processing tasks closer to the end user. The technology is designed to be implemented at cellular base stations, providing rapid deployment of applications and other customer services. The increasing need among enterprises to deliver QoE along with rising demand for low-latency processing and real-time automated decision-making solutions are anticipated to boost the growth of this market. However, the lack of required infrastructure and deployment capabilities are obstructing the growth of the market.

Impact of COVID-19 on the Mobile Edge Computing Market

In the first quarter of 2020, the world was hit by the COVID-19 pandemic. The outbreak was declared as the global pandemic by WHO, as it has spread in many countries across the globe and raised the number of cases multi-folds in few weeks. The COVID-19 pandemic has adversely hit many economies around the globe. The combat measures such as complete lockdown and quarantine to fight against COVID-19 have put strong adverse impacts on many industries across the globe, including the telecommunication industry.

The COVID-19 outbreak will have a serious impact on the mobile edge computing market because the GDP of the many countries has taken a toll, and adoption of5G technologywill be delayed because the 3GPP standards body has been sidelined by the COVID-19 outbreak. Moreover, the possibility of a general economic recession in response to the pandemic could severely shrink IT budgets in the coming months, making the potential customer base for new 5G technology commensurately smaller. Due to the outbreak of COVID-19, the growth of 5G support smartphone sales and network deployment will likely be slowed, which can obstruct the development of the mobile edge computing market to some extent.

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Moreover, due to the COVID-19 pandemic, many countries are postponing the deployment of 5G technology, which can directly hamper the growth of the mobile edge computing market. For instance, United Internet's CEO, Ralph Dommermuth, said that the construction of its subsidiary 1&1 Drillisch's 5G network would experience delays due to current measures adopted in the country to prevent a further spread of the COVID-19 pandemic in Germany. 5G buildout could take a short to medium-term hit because of economic slowdown given the spread of COVID-19 outbreak globally and resulting in supply chain disruption, 5G technology hardware delays and general effects of the economic downturn. But in the longer term, the burgeoning needs for home connectivity, digital health and even economic stimulus measures may give 5G technology buildout a boost. So, it is expected that 2020 would be a tough time for the growth of the mobile edge computing market.

The overall mobile edge computing market study presents historical market data in terms of value (2018 and 2019), estimated current data (2020), and forecasts for 2027. The market is segmented on the basis of component (hardware, software, & services), application (location-based services, video surveillance, unified communication, optimized local content distribution, data analytics, and environmental monitoring), organization size (large enterprises and small & medium-sized enterprises) and geography. The study also evaluates industry competitors and analyses the market at a country level.

Based on component, the overall mobile edge computing market is segmented into hardware, software, and services. In 2020, the hardwaresegment is estimated to account for the largest share of the overall mobile edge computing market. Rapidly increasing investment in IoT and 5G technology, along with their high deployment rate is fueling the growth of this segment.

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Based on application, the overall mobile edge computing marketis segmented into location-based services, video surveillance, unified communication, optimized local content distribution, data analytics, and environmental monitoring. In 2020, thelocation-based services segment is estimated to account for the largest share of the overall mobile edge computing market. Recent developments in positioning technologies and improved data transmission through cloud computing and 5G are expected to drive the growth of this segment.

Based on organization size, the overall mobile edge computing market is segmented into large enterprises and small & medium-sized enterprises.In 2020, the large enterprises segment is estimated to command the largest share of the overall mobile edge computing market. Large-scale enterprises are deploying mobile edge computing technology owing to the increasing need for improved quality of service. Moreover, the rising data generation with greater data response requirements along with growing network subscriber base across the world has increased the demand for advanced mobile edge computing solutions among large enterprises.

Geographically, the North American region is estimated to command the largest share of the global mobile edge computing market in 2020. However, Asia-Pacific region is expected to witness rapid growth during the forecast period,owing to increased investments in telecommunication sectors, government initiatives to encourage digitalization, heavy investments in IoT & cloud technologies, and high penetration of smart devices in emerging economies.

The report also includes an extensive assessment of the key strategic developments adopted by leading market participants in the industry over the past four years. The mobile edge computing market has witnessed a number of product launches in recent years. The global mobile edge computing market is consolidated and dominated by few major players, namely, Huawei technologies co., Ltd. (China), Saguna Networks, Ltd. (Israel), Juniper Networks, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Vapor IO (U.S.), ZephyrTel (U.S.), AT&T, Inc. (U.S.), Nokia Corporation (Finland), Renesas Electronics Corporation (Japan), Corning, Inc. (U.S.), Adlink Technology, Inc. (Taiwan), Advantech Co., Ltd. (Taiwan), Emerson Electric co. (U.S.), and GigaSpaces Technologies, Inc. (U.S.), among others.

To gain more insights into the market with a detailed table of content and figures, click here:

Scope of the Report:

Mobile Edge Computing Market, By Component

Mobile Edge Computing Market, By Application

Mobile Edge Computing Market, By Organization Size

Mobile Edge Computing Market, By Geography

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Amidst this crisis, Meticulous Researchis continuously assessing the impact of COVID-19 pandemic on various sub-markets and enables global organizations to strategize for the post-COVID-19 world and sustain their growth. Let us know if you would like to assess the impact of COVID-19 on any industry here-

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Edge Computing Market by Component, Application (Smart Cities, Industrial IoT, Remote Monitoring, AR-VR), End-Use Industry (Manufacturing, Retail, Healthcare, Media and Entertainment, Telecommunications, Transportation and Logistics) - Global Forecast to 2027

Digital Transformation Market by Technology (IoT, Cloud, Big Data, AI), Process Transformation (Customer, Operation, Product, Workforce), End-use Industry (Retail, Healthcare, Manufacturing, Insurance), Industry Size - Global Forecast to 2025

About Meticulous Research

Meticulous Research was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

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Mobile Edge Computing Market Worth $2.8 billion by 2027- Exclusive Report Covering Pre and Post COVID-19 Market Analysis by Meticulous Research -...