Daily Archives: March 17, 2020

Small and medium businesses (SMEs) play a significant role in the development and growth of the economy of any country. They are also a vital part of the global economy. To stay afloat in an increasingly interconnected and competitive global market, SMEs also need to adapt to the latest technology. SMEs that fail to do so will eventually have to close their doors.

One of the most crucial technologies that SMEs must start using is cloud computing. It can help your business grow swiftly, lower infrastructure costs, and help drive innovation. According to a survey by Gartner, up to 60 per cent of organisations will use an external service providers cloud-managed service offerings by 2022, doubling the percentage of such organisations since 2018.

If you still haven't considered cloud computing, learning about the following benefits should help you make the decision.

Cloud computing offers your employees as well as your clients the flexibility to work from anywhere. You can use a smartphone, tablet, laptop, or desktop with a secured internet connection to work from the office, home, or when on-the-go.

Thanks to the flexible access, your business can enjoy increased productivity. This trend is gradually taking root in many industries. According to a two-year Stanford study, employee attrition decreased by 50 per cent among telecommuters (work-from-home employees), they took shorter breaks, had fewer sick days, and took less time off.

At the same time, cloud computing will also provide you with excellent scalability. You can easily add new users without having to buy server and workstation upgrades. You can also scale up or down your bandwidth, applications, processing power, and other features as and when you need it.

In-house data backup is not only expensive and time-consuming but also risky. In the event of a natural calamity or data breach, you risk losing or compromising all your business data in an instant.

The Verizon 2019 Data Breach Investigations Report (DBIR) states that 43 per cent of cyberattacks target small businesses. Even the modest security breach can put a small organisation out of business. With the help of a data recovery option, however, you can overcome the risk of losing your business data should a data breach occur. This system can also help protect your data against unexpected hardware and power failure.

Most cloud service providers and managed IT service providers offer different data recovery options. You can choose the right one depending on your data type, size, and the likeliness of a potential hack.

Most cloud computing companies offer pay-as-you-go subscription models. So, you pay only for the services you are using. You can also add or remove any of your services or features anytime you want.

Furthermore, you don't need to recruit, maintain and pay in-house IT staff as your service provider will maintain the services or applications for a small monthly fee. You also don't have to invest in hardware installations and run software updates on a network of your own. Further, you need not add extra servers and hardware for growing data storage.

Thus, for many small and medium-sized businesses, shifting to a cloud-based business model can result in significant money and time savings, especially in the long run.

It is also easy to set up new user accounts, manage daily activities, and ensure regular updates. In other words, hiring one or two IT guys can help you run things smoothly; or with training, a non-tech guy can also take care of daily activities.

Running a business in the digital world comes with a few challenges. To identify the behaviour of your target audience and uncover the latest market trends in your business, you need to gather and analyse tons of data. When you have a cloud-based business model, you can make use of big data analytics to do just that.

Depending on your business model, the cloud service provider may offer you a built-in big data analytics feature, or you can use any suitable big data analytics tool. You can quickly analyse multiple data sets and draw appropriate conclusions, helping you make informed business decisions.

Steps taken based on detailed data analysis can help you run successful advertisement and marketing campaigns, as well as social media campaigns. It can also help you analyse your internal business processes and employee performance. Thus, cloud computing can help you streamline your business goals relatively easily and quickly.

You can also keep track of logins, devices your employees are using, implement access control based on authority, and get real-time alerts if someone tries to hack into your network. All these security features help you run your business smoothly at a relatively low cost and minimal legwork.

Cloud service providers offer automated updates for your systems and applications. So, you don't have to invest time and labour in keeping track of updates. Regular updates also ensure better security as the chances of a security breach due to an outdated firewall or system software is reduced.

Plus, most cloud service providers also offer various security measures to keep your data safe. For example, in Office 365, a cloud-based solution offered by Microsoft, you can use the built-in mobile device management feature to remove only organisational information or execute a factory reset to delete all information from a stolen or lost mobile device.

Fabrice Beaux

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Cloud computing for small businesses: Five reasons why it works - ITProPortal

PUNE, India, March 16, 2020 /PRNewswire/ -- Global cloud computing market is anticipated to grow significantly over the forecast period. Enterprises across the globe are increasingly focusing on minimizing their overall capital expenditure by adopting cloud services as per their business needs. Cloud computing can be attributed in three major deployment models - Private, Public, and Hybrid are the respective deployments of cloud computing. Many governments around the world are adopting or increasing their participation in cloud computing technology to bring down their capital expenditure (CAPEX) that they used to spend on their I.T infrastructure. To quote this instance in India Maharashtra, the Indian Government is using Amazon (AWS) cloud service for their "MahaOnline" a public portal, which is managing millions of users' online traffic and adjusting automatically the required space for computing, to run the portal effectively and efficiently. Furthermore, the government of the Kingdom of Saudi Arabia (KSA) has deployed its e-government online portal on cloud that is helping the government to manage its various national-level programs and online transactions electronically. The government is implementing the cloud solution with the collaboration of YESSER, the government backed organization. Furthermore, several countries under European Union has recorded surge in adoption of cloud computing solutions, where Finland has leveraged the solution most and tops the table in the region, however the United Kingdom holds a significant place in terms of adopting the cloud computing solutions.

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The cloud computing market is expected to grow in multiple folds due to, increase in the adoption of hybrid cloud computing services among major industries to tackle their complex digital transformations and security-related concerns across the regions. For instance, the healthcare organizations are migrating its critical clinical and IT applications such as environment, health & safety (EHS) and picture archiving & communication system (PACS) on the hybrid cloud to migrate the applications & associated data with the required technical up gradation. Healthcare organizations especially need flexibility, ease of management and security of data that the hybrid cloud fulfills the requirement. To quote the aforementioned sector, which has deployed its IT infrastructure on the hybrid cloud is the University of Utah Health. It is regions only university, that has four hospitals and ten community clinics and implemented a hybrid IT environment to support their complex application function that contains health records and medical operations-related data. The hybrid cloud infrastructure ensures the application is supported in case of any up-gradation and ensures disaster recovery of data when they require.

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The detailed research study provides qualitative and quantitative analysis of cloud computing market. The market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

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Cloud Computing Market Was Estimated to Grow At 19.7% CAGR During the Forecast Period Due to Rise in Adoption of Hybrid Cloud Computing Services Among...

Company analysis of Cloud Computing in Higher Education Market size which showcase a regional manufacturing status, such as volume, Cloud Computing in Higher Education market share, value and price details.

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Leading companies reviewed in the Cloud Computing in Higher Education report are: Blackboard Cisco Ellucian Instructure Adobe Systems EMC NetApp Salesforce Cloud Computing in Higher Education Market Product Type Segmentation As Provided Below: Training & Consulting Integration & Migration Support & Maintenance Cloud Computing in Higher Education Market Applications can be fragmented as: Training & Consulting Integration & Migration Support & Maintenance Region-wise evaluation of the market: North America U.S. Canada Mexico Europe Germany France UK Italy Spain Russia Asia Pacific China Japan India South Korea Australia Middle East and Africa Saudi Arabia UAE South Africa South America Brazil Argentina The worldwide Cloud Computing in Higher Education market report contains the recent industry status alongside advanced trends that can impact the actual growth rate of the Cloud Computing in Higher Education market.

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Global Cloud Computing in Higher Education Market interpreted by a new report - WhaTech Technology and Markets News

Cloud computing has become a part of everyday life. Each of us participates in the cloud every day, whether its using a cloud-based email service at home or work or buying a cup of coffee using the Square at your favorite coffee shop. But what is the cloud really?

Cloud computing is the delivery of computing services remotely. Instead of relying on a server that is physically located locally, cloud computing uses servers hosted in other locations. If that environment is owned by a third-party, it can be referred to as a public cloud. If that environment is owned by an organization for its exclusive use, it can be referred to as a private cloud. Many organizations use combinations of public and private clouds, as well as some on-premise computing. These environments are often referred to as hybrid clouds, and they offer flexibility to use each type of environment according to its strengths.

The state of Alaska has been using both private and public cloud environments and has recently embarked on an effort to migrate significant additional computing and storage requirements to the cloud. By increasing the use of cloud environments, the state will be able to achieve significant cost savings by paying for what we actually consume instead of buying significant excess capacity to handle spikes in usage. The state also will be able to create storage and computing capability without buying new hardware, provide dynamic disaster recovery by locating backups in diverse locations, and secure data in environments that maintain the strictest compliance to federal security standards. Additionally, a public cloud-based environment removes the burden of maintaining and patching hardware for the systems that are migrated.

An increased focus on cloud computing also produces a skill lift for state of Alaska information technology professionals. The use of hybrid cloud environments is commonplace in the modern world and allows professional growth and skill development among the state of Alaska workforce. Our IT professionals will continue to manage and maintain our servers; they also will develop a skillset in cloud storage, application, networking, and management solutions.

A modern technical environment provides an attractive place for skilled technologists to work and grow, attracts new talent, and helps develop technical skills that can potentially be applied in many businesses throughout Alaska. Creating a more modern, efficient, and effective information technology environment not only helps us serve Alaskans but also provides an appealing place to work for Alaska technical talent.

Modernizing our information technology infrastructure in a thoughtful, planned manner will allow us to leverage technology in many ways that greatly benefit the state of Alaska.

Bill Smith is chief information officer at the state of Alaska Office of Information Technology.

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What does the cloud mean to the state of Alaska? - Fairbanks Daily News-Miner

Carmeras engineers want real-time updates to the maps theyre building for autonomous vehicles. They also want to map every road in the world.

Unfortunately, doing both isnt possible.

Carmera builds its maps using LiDAR, a sensing method that measures distances using pulsating lasers, as well as RGB color scans, GPS data and inertial measurements. But those high-precision instruments only accomplish half the job. The maps still need to be maintained, and this startup found a distinct way to do it: sticking mobile phones onto vehicle fleets and letting them collect video data as they travel around.

Voila: crowdsourced maps.

But all that data has to be processed through edge or cloud computing. For a handful of cities, its doable. For the entire earth, it gets a little pricey.

It would take hundreds of millions of dollars to process once, Ethan Sorrelgreen, Carmeras chief product officer, said. And youd have to process it every day.

As Carmera works to usher in the adoption of autonomous vehicles, Sorrelgreens team performs an ongoing balancing act of speed, scale and cost.

Autonomous vehicles rely on a combination of cameras and sensors to navigate. Adding a base map, like the ones Carmera generates, helps a vehicle better understand its location, anticipate the road ahead and plan its course.

A vehicle driving behind a large truck, for example, may not be able to see an approaching stoplight. By referencing a base map, it could still know the stoplight is there. Base maps could also make autonomous vehicles less vulnerable to bad actors who try to trick the cars cameras.

Both functions are a draw for companies working on self-driving technology. Carmeras customers include Voyage, a driverless ride-hailing service operating in retirement communities, and Toyota.

Signing a large original equipment manufacturerlike Toyota was a big win for a startup like Carmera. But working with OEMs came with problems, as well. Specifically: The cost of processing an outrageous amount of data.

Analysis paralysis kills you when youre a startup.

Theres this general attitude that cloud processing is free, and you basically can process as much data as you want to, Sorrelgreen said. When we were working with smaller mobility-as-a-service companies, this wasnt as much of an issue. But when we started working with major automakers and looking at continent-scale or world-scale maps, our existing paradigm for processing data needed to change.

Sorrelgreen, Carmera CTO Justin Day and a couple of senior engineers sat down in a room to decide what to do. Their goal, he said, was to walk out with a potential solution as quickly as possible.

Analysis paralysis kills you when youre a startup, Sorrelgreen said. Implement something and then make it better, as opposed to trying to come up with the perfect idea up front.

Two weeks later, they had a plan. Within a quarter, they were using three critical questions to help build the most accurate maps possible at the lowest cost.

Why arent self-driving cars here yet?The Big Questions Keeping Driverless Cars Off the Road

At first, the engineers at Carmera tried to build theirown hardware to mount on fleets and process video data. But after six months of product development, they made an important discovery.

We realized we were just building a mobile phone, Sorrelgreen said.

With that realization, they shifted gears and started looking for the best cellphone for their purposes. A more advanced model would make data processing easier, but it would also drive the cost up. They decided to save money on the hardware side.

We have to get really, really smart about how we break the problem down, because we cant just throw the latest and greatest technology at it.

We dont use the latest Galaxy mobile phone to do data processing, Sorrelgreen said. Were using five-year-old, little Motoralas that are very, very old in terms of todays technology, and that means were using processors that are nowhere near as fast as what you can get.

Given that limitation, the team is continually experimenting with how best to allocate the phones processing power. In other words, how robust can their modeling get before it requires an expensive hardware upgrade?

We try to keep the phones super simple so we can deploy them on more cars, Carmera senior engineer Alana Ohno said. But weve played around with attaching more machine learning onto the phone.

Not all the data the companys cameras collect is worthwhile to process, and building a reliable computer vision model on an oldfangled mobile phone is no easy task.

We have to get really, really smart about how we break the problem down, because we cant just throw the latest and greatest technology at it, Sorrelgreen said.

The model, for instance, must be able to identify pertinent objects, like orange traffic cones that indicate road work. But running an object classifier algorithm in real time on the phones would be impossible. So the team created a few layers of algorithms to help determine what gets processed on the phone itself and what gets sent to the cloud for further analysis.

For example, if a phone has four cores, one may process a thread of key frames in the video data, hunting for the color orange. Once it finds the color, it sends that frame to a second core, which runs a rudimentary object classifier. If the algorithm determines that video data may contain objects of value like traffic cones the data is uploaded to the cloud.

Other threads look through video for diamond-shaped road signs or color combinations that could be traffic lights. But these naive classifiers even the one that hunts for the color orange dont always get it right.

Once it found us a Tropicana orange juice delivery truck, Sorrelgreen said. There was a lot of orange, but they were actual oranges.

That, however, isnt a bad thing. Carmeras developers optimized the algorithms for false positives. A fresh map is a safe map, Sorrelgreen said, and reviewing too many details is far better than missing an important one especially when your clients are major automakers.

The cloud processing system in charge of reviewing those details is known at Carmera as the cortex, and aptly so. It acts like a brain, sifting through sensory data from the mobile phones and determining whats important enough to receive further review, and what that review should look like. If video from one phone indicates a roadblock, the cortex may request a few additional frames from other vehicles in the same area. And sending single frames, instead of more video, saves processing power.

With machine learning models, you can never really test with 100 percent accuracy.

Like any other brain, the cortex uses a variety of variables to make its decisions. Data from a rarely-traveled road carries more weight than that from a busy city street, for instance, so the system collects observations each time a car passes through a less-traversedarea.

An observations potential impact on traffic plays a role, as well. If a car-camera picks up a concrete barrier, that obstruction is likely to be there for a while, and the cortex knows it doesnt need to collect data on that area again right away. Traffic cones, however, could be gone in a day, so the system will check in more frequently.

Lastly, the system prioritizes detection over clearance. That means discovering new impactful events is more important than noticing when old ones are cleared away.

Carmera built the cortex to be intelligent. Nonetheless, it still needs some help from human brains. Before new data is integrated into the companys maps, it gets passed to an operations team member for final review.

The work the human does is meant to be very, very simple, but its also really important because with machine learning models, you can never really test with 100 percent accuracy, Ohno said.

Are you getting the most from your data team?How Data Scientists and Engineers Can Work Better Together

As the Carmera team selected candidates for algorithmic review or details of value to map users some were common sense. The color orange, for example, is a good thing to watch for while youre driving. Others, however, came from customer feedback.

Its not that the customer is always right, but the customer always has more information.

Some companies, Ohno said, want to avoid roads with construction or police activity altogether because their sensors arent equipped to navigate those obstructions. Others want their maps to display every relevant detail, down to metal manhole covers.

Its not that the customer is always right, but the customer always has more information, and you should feed that into your development, Sorrelgreen said. Whether theyre right or not about whether you should be implementing something, theyre close to the problem and know what their needs are.

Going forward, Carmera will continue to tweak its algorithms daily, he said. Each new customer will come with its own needs and constraints, starting the product teams three-pronged approach back at step one.

Its a challenge, but Sorrelgreen isnt too worried. The company is preparing for demand at a global scale, he said, because Carmeras maps give self-driving vehicles an important safety feature that sensors do not: wisdom.

In order to give an autonomous vehicle a sort of intuition, you need to give it this rich, very detailed information from which to make those inferences.

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Mapping the World In Real Time (On a Budget) - Built In

Summary: Global Cloud Computing in GovernmentMarket 2020 by Company, Regions, Type and Application, Forecast to 2027

This report gives an in-depth research about the overall state of Cloud Computing in Government Market and projects an overview of its growth Industry. It also gives the crucial elements of the market and across major global regions in detail. Number on primary and secondary research has been carried out in order to collect required data for completing this particular report. Sever industry based analytical techniques has been narrowed down for a better understanding of this market.

It explains the key market drivers, trends, restraints and opportunities to give a precise data which is required and expected. It also analyzes how such aspects affect the market existence globally helping make a wider and better choice of market establishment. The Cloud Computing in Government Markets growth and developments are studied and a detailed overview is been given.

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This report studies the Cloud Computing in Government market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Cloud Computing in Government market by product type and applications/end industries.

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Cloud Computing in Government market presented in the report. This section sheds light on the sales growth of different regional and country-level Cloud Computing in Government markets. For the historical and forecast period 2015 to 2027, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Cloud Computing in Government market.

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

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, etc.)

Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)

THIS REPORT PROVIDES COMPREHENSIVE ANALYSIS OF

Key market segments and sub-segments

Evolving market trends and dynamics

Changing supply and demand scenarios

Quantifying market opportunities through market sizing and market forecasting

Tracking current trends/opportunities/challenges

Competitive insights

Opportunity mapping in terms of technological breakthroughs

IT Spending On Security Technology Application Services

Reasons to buy

Identify high potential categories and explore further market opportunities based on detailed value and volume analysis

Existing and new players can analyze key distribution channels to identify and evaluate trends and opportunities

Gain an understanding of the total competitive landscape based on detailed brand share analysis to plan effective market positioning

Our team of analysts have placed a significant emphasis on changes expected in the market that will provide a clear picture of the opportunities that can be tapped over the next five years, resulting in revenue expansion

Analysis on key macro-economic indicators such as real GDP, nominal GDP, consumer price index, household consumption expenditure, population (by age group, gender, rurral-urban split, and employed people and unemployment rate. It also includes economic summary of the country along with labor market and demographic trends.

TABLE OF CONTENTS:

Global Cloud Computing in Government Market 2020 by Company, Regions, Type and Application, Forecast to 2027

1 Market Overview

2 Manufacturers Profiles

3 Sales, Revenue and Market Share by Manufacturer

4 Global Market Analysis by Regions

5 North America by Country

6 Europe by Country

7 Asia-Pacific by Regions

8 South America by Country

9 Middle East & Africa by Countries

10 Market Segment by Type

11 Global Cloud Computing in Government Market Segment by Application

12 Market Forecast

13 Sales Channel, Distributors, Traders and Dealers

14 Research Findings and Conclusion

15 Appendix

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Cloud Computing in Government Market Development Trend Analysis and 2027 Prospects Report - 3rd Watch News

Improved AI capabilities, accelerated business intelligence, and increased productivity and efficiency were the top expectations of organizations currently investing in cloud-based quantum computing technologies, according to IDC.

Initial survey findings indicate that while cloud-based quantum computing is a young market, and allocated funds for quantum computing initiatives are limited (0-2% of IT budgets), end-users are optimistic that early investment will result in a competitive advantage.

The manufacturing, financial services, and security industries are currently leading the way by experimenting with more potential use cases, developing advanced prototypes, and being further along in their implementation status.

Complex technology, skillset limitations, lack of available resources, and cost deter some organizations from investing in quantum computing technology. These factors, combined with a large interdisciplinary interest, has forced quantum computing vendors to develop quantum computing technology that addresses multiple end-user needs and skill levels.

The result has led to increased availability of cloud-based quantum computing technology that is more easily accessible and user friendly for new end users. Currently, the preferred types of quantum computing technologies employed across industries include quantum algorithms, cloud-based quantum computing, quantum networks, and hybrid quantum computing.

Quantum computing is the future industry and infrastructure disruptor for organizations looking to use large amounts of data, artificial intelligence, and machine learning to accelerate real-time business intelligence and innovate product development. Many organizations from many industries are already experimenting with its potential, said Heather West, senior research analyst, Infrastructure Systems, Platforms, and Technology at IDC.

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Early investment in quantum computing could result in a competitive advantage - Help Net Security

Owing to the current situation with the global pandemic COVID-19 and by presidential declaration, the eagerly awaited Cloud & Security Summit (CSS) 2020 has been postponed. Scheduled for end of this week at the Serena Hotel, Nairobi, it now falls on the following new dates; 16th and 17th of April 2020.

Speaking on the postponement, the CIO East Africa CEO Laura Chite said, As a responsible organisation, CIO East Africa will support the government directive on Covid-19 by postponing the Summit to a later date. We would like to take this opportunity to thank you in advance for your understanding and look forward to hosting you in the future.

The Summit, dubbed The Biggest Cybersecurity Summit in East Africa, retains its solid program, line up of experts and institutions set to address issues such as data protection, where the Data Protection Act and GDPR are expected to be invoked, a session by the mesmerising Dr. Bright Mawudor, with panelists discussingsessions such as The Workforce of the Future and delving deep into The Roles of CISO vs CIOs. Cloud Computing will not be left behind with The Future of Cloud as a particularly riveting conclusion away from conversations such as Moving From Knowing the Risks to Mitigating the Risks in Cloud, a talk that will break down your software vulnerabilities and the shared responsibilities between the cloud consumer, and the cloud service provider (CSP).

An estimated 150+ delegates are still expected to attend. The event has been postponed to the 16th and 17th of April 2020.

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Postponement Of The Cloud & Security Summit 2020 - CIO East Africa

Summary: Global Cloud Computing in Medical Devices SectorMarket 2020 by Company, Regions, Type and Application, Forecast to 2027

This report gives an in-depth research about the overall state of Cloud Computing in Medical Devices Sector Market and projects an overview of its growth Industry. It also gives the crucial elements of the market and across major global regions in detail. Number on primary and secondary research has been carried out in order to collect required data for completing this particular report. Sever industry based analytical techniques has been narrowed down for a better understanding of this market.

It explains the key market drivers, trends, restraints and opportunities to give a precise data which is required and expected. It also analyzes how such aspects affect the market existence globally helping make a wider and better choice of market establishment. The Cloud Computing in Medical Devices Sector Markets growth and developments are studied and a detailed overview is been given.

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This report studies the Cloud Computing in Medical Devices Sector market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Cloud Computing in Medical Devices Sector market by product type and applications/end industries.

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Cloud Computing in Medical Devices Sector market presented in the report. This section sheds light on the sales growth of different regional and country-level Cloud Computing in Medical Devices Sector markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Cloud Computing in Medical Devices Sector market.

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

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, etc.)

Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)

THIS REPORT PROVIDES COMPREHENSIVE ANALYSIS OF

Key market segments and sub-segments

Evolving market trends and dynamics

Changing supply and demand scenarios

Quantifying market opportunities through market sizing and market forecasting

Tracking current trends/opportunities/challenges

Competitive insights

Opportunity mapping in terms of technological breakthroughs

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Reasons to buy

Identify high potential categories and explore further market opportunities based on detailed value and volume analysis

Existing and new players can analyze key distribution channels to identify and evaluate trends and opportunities

Gain an understanding of the total competitive landscape based on detailed brand share analysis to plan effective market positioning

Our team of analysts have placed a significant emphasis on changes expected in the market that will provide a clear picture of the opportunities that can be tapped over the next five years, resulting in revenue expansion

Analysis on key macro-economic indicators such as real GDP, nominal GDP, consumer price index, household consumption expenditure, population (by age group, gender, rurral-urban split, and employed people and unemployment rate. It also includes economic summary of the country along with labor market and demographic trends.

TABLE OF CONTENTS:

Global Cloud Computing in Medical Devices Sector Market 2020 by Company, Regions, Type and Application, Forecast to 2027

1 Market Overview

2 Manufacturers Profiles

3 Sales, Revenue and Market Share by Manufacturer

4 Global Market Analysis by Regions

5 North America by Country

6 Europe by Country

7 Asia-Pacific by Regions

8 South America by Country

9 Middle East & Africa by Countries

10 Market Segment by Type

11 Global Cloud Computing in Medical Devices Sector Market Segment by Application

12 Market Forecast

13 Sales Channel, Distributors, Traders and Dealers

14 Research Findings and Conclusion

15 Appendix

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Thematic Research on Cloud Computing in Medical Devices Sector Market 2020, Forecast till 2027 - 3rd Watch News