Daily Archives: May 27, 2022

Admit it, youve heard the term cloud computing numerous times, and most of us arent sure about it.

Cloud computing can be defined as the availability of several on-demand computing resources, including servers, data storage devices, computing devices, networking, etc., over the internet that helps businesses reinforce innovation without any hassle.

The concept of cloud computing has offered endless possibilities to businesses since enterprises can avoid several upfront costs, security challenges and can quickly rent access to any application or storage from a cloud provider.

Lets dig deeper into this and understand the role of cloud computing in shaping the future of a digitally-advanced modern world.

The concept of cloud computing is simple you only need to rent and pay for the services you need to run your platform, application, software, or program.

Gone are the days when enterprises invested heavily in building infrastructure, and they had to spend vast sums of money on maintaining those infrastructures. Businesses now prefer renting storage or systems rather than owning them in-house.

Also, cloud providers offer different services that meet the demands of businesses of every size. For instance, an enterprise can choose a storage capacity per their requirements or a computational capacity depending on their computing needs.

An enterprise need not invest in infrastructure; they just need to finalize a cloud vendor and deploy their applications or software programs on the cloud.

In an era where rich consumer experiences backed with robust security are all that a user needs, delivering these kinds of up-to-snuff experiences becomes an uphill battle for businesses.

High maintenance costs of in-house infrastructures and changing demands of services have also contributed to the need for a better flexible way to leverage resources.

Hence, cloud computing seems to be the best option for businesses embarking on a digital transformation journey by renting essential services from cloud vendors that save money and resources and help strengthen overall security.

As a result, more and more businesses are deploying their services and platforms on the cloud as it offers stringent data security and ensures a great user experience at minimum costs compared to in-house deployments.

When we talk about cloud computing architectures, there are mainly four types:

Public clouds are the cloud environments created from information technology infrastructure and not owned by the users. This model offers on-demand infrastructure and computing services managed by a third-party vendor and shared with multiple enterprises. Amazon Web Services (AWS), IBM Cloud, Google Cloud, Microsoft Azure, etc., are some examples of public clouds.

The cloud environments are dedicated to only a single end-user group or a user offered over the internet or an internal private network for selected users instead of the public.

Multi-cloud can be referred to as using multiple cloud services from various vendors within a single architecture that eventually improves cloud infrastructure capabilities. It can be defined as the distribution of various cloud assets, including software, programs, applications, etc., across various cloud environments.

A hybrid cloud is the cloud architecture in which applications or programs run as a combination of various other environments. These environments are connected through VPNs, LANs, WANs, or APIs.

There are three main types of cloud services:

Platform as a service (PaaS) describes the complete development and deployment environment in the cloud that allows businesses to deliver cloud-based services and applications.

Software as a service (SaaS) is the modern way of offering applications and software programs over the internet like a service. SaaS allows zero maintenance and infrastructure costs since businesses can access services via the internet without having to maintain hardware and software.

Infrastructure-as-a-service (IaaS) can be defined as a type of cloud computing service offering on-demand computational, storage, or network services to businesses based on their diverse needs.

Enterprises can choose any of the services mentioned above based on their unique business requirements.

A single-tenant cloud runs on a dedicated infrastructure. This means that the hardware, storage, and network are dedicated to a single client, and there are no neighbors to share hosted resources with. They may reside in a dedicated offsite data center or with a managed private cloud provider.

In a single-tenancy architecture, each tenant gets their own database. This way, data from each tenant remains separated from the other. Furthermore, the architecture is built such that only one software instance per SaaS server is allowed.

Multi-tenant cloud architecture is a single cloud infrastructure built to serve multiple businesses. The entire system may cover multiple servers and data centers, incorporated into a single database.

Cloud providers offer multi-tenancy as a gateway to share the same application with multiple businesses, on the same hardware, in the same operating environment, and with the same storage mechanism.

Although relying on cloud servers and systems have its own perks; some security risks cant be overlooked.

Businesses need to understand the importance of incorporating a stringent security policy to ensure their sensitive business information remains safe and their crucial consumer data isnt compromised.

Using cloud identity management solutions like LoginRadius CIAM helps businesses stay ahead of the competition by incorporating cutting-edge technologies like multi-factor authentication (MFA), risk-based authentication (RBA), single sign-on (SSO) and more.

Cloud computing has offered endless opportunities to businesses and is becoming the preferred mode of deployment for applications and software services.

The above-mentioned aspects describe how cloud computing could be leveraged by business organizations depending on their diverse needs.

However, when it comes to secure cloud computing, businesses shouldnt forget to incorporate stringent security mechanisms that can handle security vulnerabilities to ensure maximum safety for businesses and end users.

If youre concerned about your clouds security, you can reach us out to find how LoginRadius cloud services can help you secure your business and consumer data.

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What is Cloud Computing? - Security Boulevard

If you were to list the buzzwords dominating the cloud computing industry today, terms like "multicloud," "hybrid cloud," and "alternative cloud" would probably top it.

But here's one term that may not even make the list: "private cloud."

Related: A Guide to Cloud Architectures: Single Cloud, Multicloud, Poly Cloud and Beyond

Although private cloud architectures were once all the rage, you hear very little about them today. Likewise, major private cloud computing platforms, like OpenStack, don't tend to make many headlines these days.

That's interesting because it's not as if private clouds have gone away. On the contrary, they are alive and well. Platforms such as OpenStack also remain under quite active development, with new features being unveiled regularly.

Related: Lines Between Public, Private, Hybrid Cloud Architectures Are Blurring

So, if the lack of buzz surrounding private cloud isn't due to the death of the private cloud ecosystem, what does explain it? Why have we suddenly stopped talking very much about private cloud computing?

A few factors are likely at play. Let's take a look at each one to gain perspective on the state of private cloud computing as of 2022.

One reason why you hear less and less about private cloud computing today is that the big public clouds haven't found a way to sell private cloud services and so they haven't promoted private cloud in the way they promote other third-party solutions.

It wouldn't make much sense, for example, for public cloud providers to offer something like OpenStack as a service. And, although you can install OpenStack in a public cloud if you want, there are few use cases where you would want to do so. You'd be losing out on many of the privacy and cost benefits of running a private cloud on your own infrastructure, and you'd be duplicating a lot of the features that you could get by using the public cloud directly.

Compare OpenStack in this sense to, say, Kubernetes an open source platform that the public clouds have monetized quite successfully using an SaaS service model and it's easy to see why there is so much hype surrounding Kubernetes in the modern cloud computing industry, but little attention to classic private cloud solutions.

A second major reason why there is not a lot of buzz around private cloud computing at present, I suspect, is that private cloud platforms never really went head-first into the cloud-native computing realm.

What I mean by this is that most private cloud platforms were designed, and remain, solutions primarily for running workloads on bare-metal or virtual servers. They don't target containers, serverless functions, or other more "modern" types of workloads.

To be fair, this is probably because private clouds were conceived before containerization really took off. At the time that systems such as OpenStack were being designed, it was hard to envision a world where so many things would run as microservices and containers.

You certainly can run containers on a private cloud if you want via approaches like Kubernetes integration with OpenStack. But like running OpenStack in a public cloud, there are few obvious use cases for this practice. It would make more sense in most situations just to set up a Kubernetes cluster on its own, without OpenStack.

To put all of this another way, private cloud computing has sort of been left behind as the cloud computing industry as a whole has pivoted toward cloud-native architectures which means containerized, microservices-based architectures over the past several years. That's not due to any fault of the private cloud ecosystem. It's just what happened.

Ten or so years ago, the major talking points for running a private cloud instead of using a public cloud were that public clouds were less secure and they gave users less control.

Those points were mostly valid in the earlier 2010s. Since then, however, public clouds have evolved to become much more secure and flexible. They have built more extensive networking services, enhanced their access control frameworks, rolled out data privacy and compliance, and created sophisticated monitoring and auditing solutions, all of which help secure public cloud workloads. They have also introduced many more types of cloud services, and have given users many more configuration options, than they had in the days when public clouds mostly consisted of VMs, databases, and storage as a service.

Relatedly, the public clouds have also gone head-first into the hybrid cloud world, providing even more possibilities for users to build highly secure and flexible cloud environments using public cloud services and infrastructure.

In these ways, public cloud has become a much more obvious choice even for use cases with high security requirements or bespoke configuration needs. As a result, private cloud is no longer at the center of conversations about cloud security and control.

Private cloud computing is by no means dead. But the days are over when it's a major source of discussion, or when choosing between "private cloud versus public cloud" is a key issue for many businesses. That's mostly because private cloud just hasn't kept up with the other trends dominating the cloud computing industry, and it's hard to see that changing.

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3 Reasons Why We've Stopped Talking About Private Cloud Computing - ITPro Today

The Galactic RainCloudS project, an initiative led by members of the Faculty of Physics, the Institute of Cosmos Sciences (ICCUB) of the University of Barcelona and the Institute for Space Studies of Catalonia (IEEC), was awarded the first position in the framework of the Cloud Funding for Research call of the European project Open Clouds For Research Environments (OCRE).

The project competed against 27 proposals from twelve countries in a wide range of research disciplines. This first edition of Cloud Funding For Research funds the use of commercial computational cloud resources for research. The project counts on the collaboration from the private sector, and specifically from Pervasive Technologies, which brings experience in artificial intelligence and cloud computing; Google, and the computing infrastructure from Google Cloud and Telefnica, which offers experience on cloud resource management.

Professor Xavier Luri, director of ICCUB and principal researcher of the project, highlights that The Galactic RainCloudS project is a pioneer one in Europe in the use of commercial cloud infrastructures for research on astronomy, and results from the will to show the benefits of cloud resource uses for the scientific community.

The key of the project lies in interdisciplinarity: combining the extraordinary volumes of data from the European Space Agency Gaia Satellite with the great computational power and the flexibility of cloud infrastructures, and with the data mining techniques, it will enable the team of the University of Barcelona to study the existing links between past galaxy collisions and star formation in a holistic way, a study in which the Milky Way and satellite galaxies will be an experimental laboratory. Cloud computing is like renting powerful customized computers, for a certain period of time, which will enable us to make the necessary calculations to study the interaction between galaxies, notes Merc Romero, researcher at ICCUB.

The project also includes the development of a system to detect traces of past small galaxy collisions with the halo of our galaxy. Teresa Antoja, researcher at ICCUB, notes that the existence of granularities in the galactic halos is a prediction of the current cosmological model of the formation of our Universe: the active search for substructures of this type in the Gaia data can provide vital information on the history of the Milky Way and on the nature of dark matter.

Artificial intelligence and cloud computing

The participation of the private sector in this project shows the closeness between research and companies in the use of cutting-edge technologies as well as their shared interests. In Pervasive Technologies, we are glad to offer our knowledge on artificial intelligence and cloud computing to a pioneer project in the field of research. We will work to get the highest performance of the cloud infrastructures and artificial intelligence for this project, notes Rodolfo Lomascolo, CEO of Pervasive Technologies.

In order to be successful, the Galactic RainCloudS project must have, among other features, big data infrastructures. The Gaia satellite data hide the answer to many questions we want to solve, but we need the right tools to retrieve them, notes Roger Mor, data scientist at Pervasive Technologies and ICCUB collaborator. He adds: The available big data platforms in the commercial cloud and artificial intelligence services are fundamental tools to find, for instance, whether the interaction of Sagittarius with the Milky Way caused the reignition of the star formation in our galaxy between 5 and 7billion years ago, as stated in some studies.

Enrique Gonzlez Lezana, head of cloud sales specialist at Telefnica Tech, says that Telefnica has accompanied the University of Barcelona in the definition and unfolding of the Google Cloud architecture, where the required hypercomputing solution to work on the Galactic RainCloudS project will be hosted. The unfolded infrastructure he adds will enable the processing and analysis of big data in a flexible, scalable way, adjusted to the required needs of the researchers of the University of Barcelona. Telefnica will work with the UB during the entire process to guarantee the successful implementation of the project with teams specialized on Google Cloud services and technologies.

The project launched this May and will last a year. Galactic RainCLoudS is a necessary step in the transition of the world of research toward the efficient use of cloud computing resources. In this sense, we are pioneers in its use at the University of Barcelona and we hope our experience serves to encourage its use. The research teams needs are becoming more specific, and we are making an effort for this project to open the doors of commercial cloud computing in future projects for all research disciplines, concludes Xavier Luri.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Cloud computing to unveil the enigmas of our galaxy - EurekAlert

On a recent trip to the Bay Area, I took a few hours to pay a visit to Berkeley Artificial Intelligence Research Lab (BAIR). Professor Ken Goldberg walked me around the lab and introduced me to a couple of projects the students have been working on. FogROS immediately grabbed my attention and not just because it sports a name similar to a problematic French cuisine.

Image Credits: Open Robotics

The offering arrives as part of the latest version of the open source Robotic Operating System, ROS 2 Humble Hawksbill the eight release of ROS 2. In a nutshell, it offers a method for offloading robotic tasks to a remote server, using a cloud computing platform like Amazon Web Services. Advances to server-side computing that have made things like cloud gaming possible with minimal latency can also be applied to robotics operations.

Robots are often limited in their onboard computing capabilities due to weight and power requirements, Jeff Ichnowski, a Berkeley post-doc student who headed up the project, told TechCrunch. They also rarely have hardware accelerators like GPUs, TPUS or FPGAs. But many robot algorithms and recent advances (e.g. deep learning) benefit from high-end computers and hardware accelerators. We envision that using cloud computing to speed up slow computations can enable robots to do more things in the same amount of time.

The platform being announced today as part of the new version of ROS is actually FogROS 2. Version one, which was introduced last summer, was an early proof-of-concept. This March, the teams quietly made a preview of FogROS 2 available through GitHub, and today it goes live for all, sporting a number of improvements designed to optimize cloud-based performance.

Image Credits: ROS

Much like playing Xbox games on a smartphone, the basic principle here is supplying a method to execute complex tasks on a robot that doesnt require equally complex on-board processing. If you can complete the task via a remote server, you can save on size, weight and perhaps most importantly cost. The team notes in a recently published paper:

We demonstrate in example applications that the performance gained by using cloud computers can overcome the network latency to significantly speed up robot performance. In examples, FogROS 2 reduces SLAM latency by 50%, reduces grasp planning time from 14s to 1.2s, and speeds up motion planning 28x. When compared to alternatives, FogROS 2 reduces network utilization by up to 3.8x.

Goldberg notes that such a platform could open up even more possibilities for robotics than those listed above. It can potentially benefit other compute-intensive tasks for robots such as stochastic planning and facilitate supervised and unsupervised deep learning of tasks from multiple robots.

Future versions of the program could open things up to additional platforms, including Google Cloud and Azure. The team notes:

In future work, we will continue to add support for additional cloud computing providers and services. We will explore additional models of computing, such as serverless, spot instances, and more. We will also explore extending the networking capabilities of FogROS 2 to allow robots to communicate, collaborate, and share data more easily.

Humble Hawskbill includes a number of additional features a number of additions beyond the cloud computing platform. Per Open Robotics, which is tasked with maintaining ROS, updates include,

The Robot Operating System made its debut at ICRA thirteen years ago this month and Open Robotics celebrated its ten-year company anniversary in March, Open Robotics CEO said in a release tied to the news, so the release of ROS 2 Humble Hawksbill is the perfect opportunity to thank the global community of thousands of developers and millions of users who contribute to and improve the platform.

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FogROS brings robotic cloud computing to the Robot Operating System - TechCrunch

I came across an interesting blog post over at Finextra which got me thinking about a topic that has been in the back of my mind for a while now the systemic risks of cloud computing concentration. It seems like everyone has made or is making the move from maintaining big, expensive data centers to letting Amazon, Microsoft, or Google worry about the buildings, infrastructure and hardware. I cant say I blame them, especially since getting new servers and other hardware has become a much more difficult and time consuming process now that all of our supply chains seem to have been broken.

But there is a downside as well when one of the big cloud providers is having a bad day, people notice most of the web sites and services we depend on depend on at least one of these providers being up and running. And there have been some major outages in the past year. So far, these outages have not had a systemic impact on the financial system. So far.

While the big cloud providers have all sorts of options to make systems within their perimeters fault tolerant to a degree, we have seen provider level outages which disrupted the Internet. In order to achieve true resilience when one of these events happens, organizations need to be thinking about true multi cloud solutions and there are some significant hurdles which need to be surmounted to do this.

The biggest hurdle is the cloud vendors tempting managed offerings managed Kubernetes clusters, databases, serverless services these are great for standing up new services quickly, but make multi cloud operation difficult, if not impossible. Even if another vendor has the same kind of managed database, it is going to be just different enough from your primary vendor to make porting your systems over expensive and time consuming. This is not a bug it is a feature. Vendors want to lock customers into their product (and who can blame them?).

In the financial world, regulators are taking notice, and institutions and their service providers (as well as cloud providers) need to be thinking about true multi cloud resilience solutions before the next big outage hits.

If you are at the beginning of your cloud journey and your application is critical, design it to be multi cloud from day one this will be waaaaaay less expensive and complex than trying to address the issue after you have a million customers.

When making architectural decisions, consider the benefits and the costs of adopting core services which are specific to your primary cloud provider. Think about how you would/could replicate them in another providers environment BEFORE you get locked in.

Given the increasing automation and speed we are seeing in financial services, it is only a matter of time before there is an event which really galvanizes regulators attention; the time to be thinking about diversifying your cloud infrastructure is now.

*** This is a Security Bloggers Network syndicated blog from Al Berg's Paranoid Prose authored by Al Berg. Read the original post at: https://paranoidprose.blog/2022/05/21/cloud-computing-concentration-and-systemic-risk/

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Cloud computing concentration and systemic risk - Security Boulevard

NEW DELHI: Amazon Web Services, subsidiary of e-commerce giant Amazon Inc., on Wednesday said it has trained over 2 million individuals in skills linked to myriad areas of cloud computing, ever since introducing its first such programme in India in 2017. It has worked with government-aided bodies, educational institutes and corporate organizations to achieve this milestone, which has included first-time learners and mid-career professionals alike.

Puneet Chandhok, president for India and South Asia at Amazon Web Services (AWS), cited an internal report to state that in the next three years, three of every five professionals in India will feel the need to learn cloud-related skills to progress their careers. AWS says its programmes are aimed at fulfilling this gap, which includes initiatives such as Amazon Restart.

Amazon Restart is a free, 12-week skill development programme targeted at unemployed and underemployed individuals, whom AWS helps in finding employment at basic levels for cloud computing and services-linked roles. Under Restart, the company has established partnerships such as with rural and semi-urban education development body, All India Society for Electronics and Computer Technology (Aisect) and consulting group IPE Global.

The company has also struck partnerships with corporate organizations such as financial analysis firm Perfios and consultancy firm, Tata Consultancy Services (TCS). Such partnerships are aimed at upskilling mid- and early-career level professionals in skills related to cloud computing and services on AWS.

To be sure, AWS is not the only big tech firm that has an active training and upskilling program in India. Microsoft, which is Amazons biggest competitor in the cloud services and computing sector with Azure, offers similar training programs under its India Skilling Initiative. In January this year, the company expanded on its umbrella offering with skilling programs directly targeting small and medium businesses (SMBs) in the country.

During its announcement of its digital skilling programs for SMBs, Microsoft had said its Global Skills Initiative programme had helped more than 30 lakh individuals in India gain digital skills across various industries and areas of interest, which included cloud computing as well.

Google India, too, announced a Career Certificate for Upskillers program in November last year, aiming to upskill 10 lakh individuals in digital skills that include cloud services, by 2023.

Debjani Ghosh, president of trade association Nasscom, said today that such skilling programmes should hold national priority", and called for collaboration across government, corporates and industry associations" to facilitate the same.

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Trained 2 Million People In Cloud Computing Skills In 5 Years: Aws | Mint - Mint

LONDON, May 26, 2022 (GLOBE NEWSWIRE) -- The Future of Construction - Disruptive Technology Themes market reports bundle covers the latest disruptive technology themes that are affecting the construction industry. Early engagement with all stakeholders, including suppliers, subcontractors, and local communities, is key to helping construction companies excel at environmental, social, and governance (ESG), cloud computing, artificial intelligence (AI), digital twins, and Internet of Things (IoT). Companies that engage with these initiatives now and demonstrate their ability and willingness at the tender stage will win more contracts and turn more profits.

Future of Disruptive Tech Themes in the Construction Industry

Cloud Computing in the Construction Industry - The two main benefits of cloud adoption for construction companies are the ubiquitous access to data and the facilitation of several other technologies that will be crucial for the industry in the coming years. Cloud enables project stakeholders to access real-time project information, perform data entries from any device, and update building information models from anywhere, at any time. The high computing power supports the adoption of other technologies such as data analytics and the internet of things that facilitate greater efficiency in using resources and access to powerful software that improves project collaboration and execution.

This section explores cloud computing technology and its use cases in construction. It also identifies the key players dominating the current technology theme.

For more insights on the impact of cloud computing in the construction market, download a free bundle report sample

Digital Twins in the Construction Industry - In the construction sector, digital twins are being used to make investment decisions based on actionable data, such as assessing the performance of buildings in real-time and adjusting performance to optimize efficiency. They allow designs and concepts to be tested and, during the construction phase, enable the monitoring of progress against plans, monitoring of resources and prediction of resource requirements, and improve safety by identifying potentially hazardous situations.

This section identifies the key trends impacting the growth of the digital twins in construction themes over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends. Industry analysis is included with use cases for digital twins across a range of industries, including manufacturing, power, oil and gas, healthcare, construction automotive, and aerospace and defense. This section tells you everything you need to know about digital twins, including identifying the current leaders in some of the most important segments of our digital twin value chain.

For more insights on the impact of digital twins in the construction market, download a free bundle report sample

Artificial Intelligence (AI) in the Construction Industry - The construction industry is ripe for artificial intelligence adoption. AI technologies can provide many small wins at each step of the broken value chain. Successful implementation can add up to big wins in architecture, engineering, and construction, mitigating the challenges of delivering safely, on time, and on budget.

This section explores the challenges facing the architecture, engineering, and constructing industry, together with a thorough discussion of how AI can help mitigate these challenges, as well as identify companies for partnerships. The unique thematic scorecard showcases 48 global construction companies that predicts the success of construction companies in the next 2-5 years. Companies are scored in AI and nine other themes that will disrupt the construction sector.

For more insights on the impact of AI in the construction market, download a free bundle report sample

ESG (Environmental, Social, and Governance) in the Construction Industry - ESG is the most important theme of the decade. It is easy to find examples of lackluster governance in construction but much harder to find exemplary case studies. Companies that perform poorly in environmental and social issues likely do so due to poor governance. Early engagement with all stakeholders, including suppliers, subcontractors, and local communities, is key to helping construction companies excel at ESG.

This section explores the challenges facing the construction industry, together with a thorough discussion of steps companies can take to mitigate these challenges. Analyze GlobalDatas ESG in construction sentiment survey results and assess what this means for the construction industry.

For more insights on the importance of ESG in the construction market, download a free bundle report sample

Internet of Things (IoT) in the Construction Industry - IoT is key to digitalization in the construction industry. The internet of things describes the use of connected sensors and actuators to control and monitor the environment, the things that move within it, and the people that act within it. IoT allows different assets and people to be monitored and accounted for across a traditionally fragmented industry.

This section offers a comprehensive IoT value chain identifying the five layers of IoT technologies: device layer, connectivity layer, data layer, app layer, and services layer. The value chain explains these layers and drills down into different issues and trends within these layers. To stay ahead of your competition, we provide extensive coverage and analysis of relevant companies relative positions in the IoT theme. This includes leaders and laggards in IoT.

For more insights on the impact of IoT in the construction market, download a free bundle report sample

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The study undertaken by Astute Analytica foresees a tremendous growth in revenue of the market for global cloud computing in higher education market from US$ 2,693.5 Million in 2021 to US$ 15,180.1 Million by 2030. The market is anticipated to grow at a CAGR of 22% during the forecast period 2022-2030.

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Cloud computing in higher education provides an online platform for educational institutes through various applications and subscription models. In this era of technology, employing latest IT technologies and services in higher education assists teachers, administrators and students in their education related activities. Cloud computing in higher education centrally manages the various business processes such as student and course management, helps teachers in uploading learning materials, students to access their homework, administrators to easily collaborate with each other and library management among others. Cloud computing segment is gaining majority of the spenders from high income group as well as skilled share of people from around the world.

On the basis of institute type, the technical schools are estimated to hold the highest market share in 2021 and is also expected to project the highest CAGR over the forecast period owing to increasing demand for cloud computing in technical schools. Moreover, based on ownership, private institutes segment is anticipated to hold the largest market share owing to increasing funding in private institutes for adoption of cloud computing services. Whereas, the public institutes segment is expected to grow at the highest CAGR over forecast period. Furthermore, in terms of application, administration application holds a major share in the cloud computing in higher education in 2021. Whereas, unified communication is expected to project the highest CAGR over the forecast period due to increasing trend of e-learning. In addition to this, by deployment, the hybrid cloud segment held the largest market share in 2021.

Market Dynamics and Trends

Drivers

The increasing adoption of SaaS based cloud platforms in higher education, increasing adoption of e-learning, increasing IT spending on cloud infrastructure in education and increasing application of quantum computing in education sector will boost the global cloud computing in higher education market during the forecast period. Software-as-a-Service (SaaS) is a type of delivery model of cloud computing. In the higher education sector, SaaS applications include hosting various management systems for educational institutes and managing other activities. Moreover, higher education industry witnesses an increased adoption of e-learning due to its easy accessibility and high effectiveness. Users such as drop-outs, transfer learners, full-time employees are increasingly relying on e-learning trainings and education to upgrade their skills. Furthermore, higher education institutes are rapidly moving towards cloud-based services to save an intensive IT infrastructure cost and boost efficiency of operations.

Restraints

Cybersecurity and data protection risks, lack of compliance to the SLA and legal and jurisdiction issues is a restraining factor which inhibits the growth of the market during the forecast period. Issues related to data privacy pose threats in interest to mitigation of higher education institutions to the cloud. There are federal regulations for higher education institutes along with state and local laws to manage information security in the education environment. Moreover, the level of complexity in the cloud is high, which usually complies with several service providers and thus makes it hard for users to make changes or intervene. Also, the cloud computing industry faces various legal and jurisdiction issues that can run into years due to regional laws.

Cloud Computing in Higher Education Market Country Wise Insights

North America Cloud Computing in Higher Education Market-

US holds the major share in terms of revenue in the North America cloud computing in higher education market in 2021 and is also projected to grow with the highest CAGR during the forecast period. Moreover, in terms of institute type, technical schools hold the largest market share in 2021.

Europe Cloud Computing in Higher Education Market-

Western Europe is expected to project the highest CAGR in the Europe cloud computing in higher education market during forecast period. Wherein, Germany held the major share in the Europe market in 2021 because there is high focus on innovations obtained from research & development and technology adoption in the region.

Asia Pacific Cloud Computing in Higher Education Market-

India is the highest share holder region in the Asia Pacific cloud computing in higher education market in 2021 and is expected to project the highest CAGR during the forecast period owing to potential growth opportunities, as end users such as schools and universities are turning toward cloud services in order to offer high quality services that help users to collaborate, share and track multiple versions of a document.

South America Cloud Computing in Higher Education Market-

Brazil is projected to grow with the highest CAGR in the South America cloud computing in higher education market over the forecast period. Furthermore, based on ownership, private institutes segment holds the major share in 2021 in the South America cloud computing in higher education market owing to increasing funding in private institutes for adoption of cloud computing services.

Middle East Cloud Computing in Higher Education Market-

Egypt is the highest share holder region in 2021 and UAE is projected to grow with the highest CAGR during the forecast period. Moreover, in terms of application, administration holds a major share in the cloud computing in higher education in 2021. Whereas, unified communication is expected to project the highest CAGR over the forecast period due to increasing trend of e-learning.

Africa Cloud Computing in Higher Education Market-

South Africa is the highest share holder region in the Africa cloud computing in higher education market in 2021. Furthermore, by deployment, the private cloud segment is expected to witness the highest CAGR during forecast period due to the security benefits provided by the private deployment of the cloud.

Competitive Insights

Global Cloud Computing in Higher Education Market is highly competitive in order to increase their presence in the marketplace. Some of the key players operating in the global cloud computing in higher education market include Dell EMC, Oracle Corporation, Adobe, Inc., Cisco Systems, Inc., NEC Corporation, Microsoft Corporation, IBM Corporation, Salesforce.com, Netapp, Ellucian Company L.P., Vmware, Inc and Alibaba Group among others.

Segmentation Overview

Global Cloud Computing in Higher Education Market is segmented based on institute type, ownership, application, deployment and region. The industry trends in the global cloud computing in higher education market are sub-divided into different categories in order to get a holistic view of the global marketplace.

Following are the different segments of the Global Cloud Computing in Higher Education Market:

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By Institute Type segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Ownership segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Application segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Deployment segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Region segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

North America

Europe

Western Europe

Eastern Europe

Asia Pacific

South America

Middle East

Africa

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Cloud Computing in Higher Education Market Research Report by Application, Type, Industry Share, Size, Manufacturing Cost Analysis and Industry...