Category Archives: Cloud Computing

March 29, 2022 -- According to TrendForce research, corporate demand for digital transformation including artificial intelligence and high-performance computing has accelerated in recent years, which has led to increasing adoption of cloud computing. In order to improve service flexibility, the world's major cloud service providers have gradually introduced ARM-based servers. The penetration rate of ARM architecture in data center servers is expected to reach 22% by 2025.

In the past few years, ARM architecture processors have matured in the fields of mobile terminals and Internet of Things but progress in the server field has been relatively slow. However, companies have diversified cloud workloads in recent years and the market has begun to pay attention to the benefits ARM architecture processing can provide to data centers. TrendForce believes that ARM-based processors have three major advantages. First, they can support diverse and rapidly changing workloads and are more scalability and cost-effective. Second, ARM-based processors provide higher customization for different niche markets with a more flexible ecosystem. Third, physical footprint is relatively small which meets the needs of today's micro data centers.

Influenced by geopolitics and the strengthening of data sovereignty in various countries, major cloud service providers and telecom operators are actively developing micro data centers which will further drive the penetration of ARM-based processors. At the same time, from the perspective of cloud service providers currently adopting ARM-based processors, Graviton, led by AWS, has the largest market scale and began encroaching gradually into the market in 2021. TrendForce also observed that AWS's deployment of ARM-based processors in 2021 reached 15% of overall server deployment and will exceed 20% in 2022. This forces other major cloud service providers to keep up by initiating their own projects at various foundries. If testing is successful, these projects are expected to start mass introduction in 2025.

In addition, according to the Neoverse Platform plan previously released by ARM, its Platform Roadmap will also be one of the key drivers of penetration. This product line is set up to target ultra-large-scale data centers and edge computing infrastructure. However, it is worth mentioning, since x86 is still mainstream in the market and ARM-based server CPU suppliers only maintain small-batch production orders at this stage and primarily focus on ultra-large-scale data centers, introduction of ARM-based servers into enterprise data centers will be slow going. Thus, TrendForce believes that it will still be difficult for ARM-based servers to compete with x86-based servers before 2025.

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ARM-based Server Penetration Rate to Reach 22% by 2025 with Cloud Data Centers Leading the Way, Says TrendForce - Design and Reuse

San Diego Gas & Electric has taken an aggressive approach to its digital transformation due in part to forces beyond its controlclimate change, the pandemic and geopolitical tensionsaltering its entire way of doing business.

Known for its innovative drone imagery application that helped track West Coast wildfire, the San Diego utility began its migration to the cloud a little more than two years agojust before the pandemic and escalation in cyberattacksand just as Ben Gordon took the helm as senior vice president, chief information officer, and chief digital officer at Sempra, the parent company of SDG&E and SoCalGas.

Today, 30% of SDG&Es applications are on the cloud and Gordon predicts that will jump to 65% by 2025.

Utilities have not traditionally been early adopters of digital technologies, but the energy transition and global upheaval of the pandemic and other events have set the stage for a new operating environment. The utility sector, which has been traditionally recognized for its business stability, reliability, and predictability is now facing a decade of deep redesign that pervades every aspect of the business, says Ethan Louis Cohen, a Gartner analyst. Regulatory frameworks and operating models are changing, requiring utilities to develop new ways of thinking, new business architecture, and technologies to enable new capabilities.

Consequently, utilities like San Diego Gas & Electric are on the move, steadily migrating to the cloud, analytics, AI, and modernized computing environments, Cohen says.

Put simply, the cloud enables Gordon and his IT organization to do what was impossible with legacy systems.

SDG&Es drone imaging program, for example, was a relatively speedy deployment that in the past may not have been a realistic project. We have a large workforce, and we would have had to build out quite a large infrastructure. It would take us years to do that but [with the cloud] that only took us six to 12 months.

The CIO says SDG&Es cloud first initiative drives every aspect of its digital transformation.

We see the cloud as a strategic advantage for the corporation. There is a lot of change in our industry, and we believe the cloud gives us access to new technologies and opportunities that we are trying to do ourselves, Gordon says. Every time you move to the cloud, theres less overhead and less management of operations. The technologies and the speed at which we can iterate, and change are significant.

Management of data centers is a very complex thing. Being able to move it use the native tools that are built into the Amazon platform really increases our speed of delivery and our time to market for any kind of response, Gordon adds.

SDG&E is taking a best of breed approach to the cloud and will use whatever platform best serves the utilitys needs as the cloud vendors evolve. We try to be cognizant of the capabilities that each cloud provider brings and wherever their investment journeys are, the CIO says.

SDG&Es digital transformation is not a technology refresh but a wholesale change in its business. That means every aspect of the business is under the microscope and being rebuilt for advanced applications and opportunities afforded by the cloud.

Gordon notes that analytics capabilities that would take SDG&E years to develop on its own are available through cloudthe product of significant R&D by major cloud service providers.

The utility is engaged in building a foundational data layer for the entire organization that is running in the cloud and has completed a business process automation overhaul of all its internal systems.

All of our innovations and new emerging technologies are built on the data foundation thats running in the cloud, Gordon says, pointing to its community impact platform as one example. That is a digital twin were using that leverages multiple data sources to kind of create an emission model for our fleet for service vehicles.

It is anything but business as usual for Gordon and his team of 570 employees and about 1500 contractors as they continually create more machine learning and AI models, implement advanced analytics for SDG&Es drone imaging and expanding fleet of sensors, build out its foundational data layer, finish off its digital twin, and develop virtual spaces for its emergency operations center.

As part of this journey and transformation that were going through, were also transforming the organization as well, Gordon says. Last year, we pivoted to new ways of working. We adopted an organizational structure and architecture that enhances collaboration, the scaling of our technology services, and we revised our architecture for all technology roles to align with three career tracks.

Weve also aligned all of our technology organization to products and platforms, he adds.

These moves are aimed at ensuring PG&E IT transforms at the same rate as the business, both in its technology and in its approach to innovation, as increasing regulatory, market, and climate-driven risks are testing our business and systems resilience, Gordon says.

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SDG&E seeks speed advantage in the cloud - CIO

REDDING, Calif., March 29, 2022 /PRNewswire/ -- According to a new market research report titled, "Artificial Intelligence in Cybersecurity Marketby Technology (ML, NLP), Security (Endpoint, Cloud, Network), Application (DLP, UTM, IAM, Antivirus, IDP), Industry (Retail, Government, BFSI, IT, Healthcare), and Geography Global Forecasts to 2029,"the artificial intelligence in cybersecurity market is expected to grow at a CAGR of 24.2% during the forecast period to reach $66.22 billion by 2029.

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The increasing demand for advanced cybersecurity solutions and privacy, the growing significance of AI-based cybersecurity solutions in the banking sector, and the rising frequency and complexity of cyber threats are the key factors driving the growth of the artificial intelligence in cybersecurity market. In addition, the growing need for AI-based cybersecurity solutions among small and medium-sized enterprises (SMEs) are creating new growth opportunities for vendors in the AI in cybersecurity market.

However, the lack of skilled AI professionals, the perception of AI in cybersecurity as an uncomprehensive security solution, and the impacts of the COVID-19 pandemic are expected to restrain the growth of this market to a notable extent.

Impact of COVID-19 on Artificial Intelligence in CybersecurityMarket

The outbreak of the COVID-19 pandemic severely affected numerous businesses across the globe. Several organizations started adopting a work-from-home mode of operation. Reliance on remote access systems made organizations more vulnerable to DDOS and phishing attacks. The excess internet usage during the COVID-19 pandemic increased the number of data thefts, ransomware attacks, and data breaches across organizations. The COVID-19 outbreak forced medical-treatment units to utilize remote-care devices that lack proper protection against cyberattacks, thereby giving opportunities to perpetrate attacks. Thus, several organizations started focusing on advanced technologies in cybersecurity, such as artificial intelligence, machine learning, and big data, for protection against such threats.

According to HIPAA Journal, the INTERPOL issued an alert to hospitals over ongoing ransomware attacks during the COVID-19 pandemic and issued a 'Purple Notice' alerting police forces in all 194 member countries. According to Cyber Intelligence Centre, in 2020, there was a spike of phishing attacks, malspams, and ransomware attacks as attackers started using COVID-19 as bait to personate brands and mislead customers and employees. Organizations started focusing on monitoring emails and active directories for anomalous logins, reviewing tactical actions, and implementing key security controls. Many leading players started improving their cyber risk management measures strategizing accordingly by ensuring that their remote access systems were sufficiently resilient to withstand cyber threats. Artificial intelligence in cybersecurity will play a significant role in the safety and security of organizations from cyber threats. The impacts of the COVID-19 pandemic have resulted in industry verticals focusing on reducing reliance on human resources and maximizing the use of processes and advanced technologies to perform cybersecurity activities. The positive impacts will be perceptible, encouraging the growth of AI in cybersecurity market during the forecast period.

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Several organizations are eying this crisis as a new opportunity for restructuring and revisiting their existing strategies along with advanced product portfolios.For instance, in 2021, IBM Corporation (U.S.) announced new and enhanced services of IBM Security Services designed to help organizations manage their cloud security strategy, policies, and controls across hybrid cloud environments. In 2021, FireEye, Inc. introduced FireEye XDR, a unified platform designed to help security operations teams strengthen threat detection, accelerate response capabilities, and simplify investigations. These developments are showing a positivesign for the growth of cybersecurity, consequently expected to boost the demand for artificial intelligence in cybersecurity market in the coming years.

In addition, favorable government policy & initiatives, including financial packages for businesses and ease in taxes, the increasing demand for advanced cybersecurity solutions in the healthcare sector, and the increasing investments in advanced technologies are expected to contribute to the growth of artificial intelligence in cybersecurity market.

Also, the ongoing tensions between Russia and Ukraine have increased digital skirmishes. This ongoing conflict may impact global diplomacy, markets, and other aspects by escalating into cyberwarfare with significant monetary damages, as seen with the global NotPetya cyberattack and wiper virus cyberattack.

Artificial Intelligence in Cybersecurity Market Overview

The artificial intelligence in cybersecurity market is segmented based on components (hardware, software, services), technology (machine learning, natural language processing, context-aware computing), security (application security, endpoint security, cloud security, network security), application (data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, antivirus/antimalware, intrusion detection/prevention system, distributed denial of service mitigation, security information & event management, threat intelligence, fraud detection), deployment (on-premises, cloud-based), industry vertical (retail, government & defense, automotive & transportation, BFSI, manufacturing, infrastructure, IT & telecommunication, healthcare, aerospace, education, energy), and geography. The study also evaluates industry competitors and analyses the market at the country level.

Based on component, the AI in cybersecurity market is segmented into software, hardware, and services. In 2022, the software segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The larger share and highest CAGR of this segment is primarily driven by the growing data security concerns, the increase in demand for AI platforms solutions for security operations, and the surge in demand for robust and cost-effective security solutions among business enterprises to strengthen their cybersecurity infrastructure.

Based on technology, the overall AI in cybersecurity market is segmented into machine learning, natural language processing (NLP), and context-aware computing. In 2022, the machine learning technology segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share and highest CAGR of this segment is primarily attributed to its advanced ability to collect, process, and handle big data from different sources that offer rapid analysis and prediction. It also helps analyze user behavior and learnfrom them to help prevent attacks and respond to changing behavior. In addition, it helps find threats and respond to active attacks in real-time, reduces the amount of time spent on routine tasks, and enables organizations to use their resources more strategically, further supporting the growth of the machine learning technology market in the coming years.

Based on security, the AI in cybersecurity market is segmented into network security, cloud security, endpoint security, and application security. In 2022, the network security segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share of this segment is mainly attributed to the adoption of the Bring Your Own Device (BYOD) trend, the increasing number of APTs, malware, and phishing attacks, the increasing need for secure data transmission, the growing demand for network security solutions, and rising privacy concerns. However, the cloud security segment is slated to register the highest CAGR during the forecast period due to the increased adoption of Internet of Things (IoT) devices, surge in the deployment of cloud solutions, the emergence of remote work and collaboration, and the increasing demand for robust and cost-effective security services.

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Based on application, this market is segmented into data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, intrusion detection/prevention system, antivirus/antimalware, distributed denial of service (DDoS) mitigation, Security Information and event management (SIEM), threat intelligence, and fraud detection. In 2022, the identity and access management segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increase in security concerns among organizations, the increasing number and complexity of cyber-attacks, the growing need for integrity & safety of confidential information in industry verticals, and the growing emphasis on compliance management. However, the data loss prevention segment is slated to register the highest CAGR during the forecast period due to the increasing regulatory and compliance requirements and the growing need to address data-related threats, including the risks of accidental data loss and exposure of sensitive data in organizations.

Based on industry vertical, the AI in cybersecurity market is segmented into government & defense, retail, manufacturing, banking, financial services, and insurance (BFSI), automotive & transportation, healthcare, IT & telecommunication, aerospace, education, and energy. In 2022, the IT & telecommunication sector is estimated to account for the largest share of the overall AI in cybersecurity market. The large share of this segment is mainly attributed to increasing incidence of security breaches by cybercriminal, shifting preference from traditional business models to sophisticated technologies, and including IoT devices, 5G, and cloud computing.However, the healthcare sector is slated to register the highest CAGR during the forecast period due to the rising sophistication levels of cyber-attacks, the growing incorporation of advanced cybersecurity solutions, the exponential rise in healthcare data breaches, and the growing adoption of IoT & connected devices across the healthcare sector.

Based on deployment, the market is segmented into on-premises and cloud-based. In 2022, the on-premises segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increasing necessity for enhancing the internal processes & systems, security issues related to cloud-based deployments, and the rising demand for advanced security application software among industry verticals. However, the cloud-based segment is slated to register the highest CAGR during the forecast period due to the increasing number of large enterprises using cloud platforms for data repositories and the growing demand to reduce the capital investment required to implement cybersecurity solutions. In addition, several organizations are moving operations to the cloud, leading cybersecurity vendors to develop cloud-based solutions.

Based on geography, in 2022, North America is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The large market share of North America is attributed to the presence of major players along with several emerging startups in the region, the increase in government initiatives towards advanced technologies, such as artificial intelligence, the proliferation of cloud-based solutions, the increasing sophistication in cyber-attacks, and the emergence of disruptive digital technologies. However, Asia-Pacific is expected to register the highest CAGR during the forecast period. Factors such as the rising number of connected devices, the increasing privacy & security concerns, the growing awareness regarding cybersecurity among organizations, rapid economic development, high adoption of advanced technologies, such as IoT, 5G technology, and cloud computing are contributing to the growth of this market in Asia-Pacific.

The global artificial intelligence in cybersecurity market is fragmented in nature. The major players operating in this market are Amazon Web Services, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), FireEye, Inc. (U.S.), Palo Alto Networks, Inc. (U.S.), Juniper Networks, Inc. (U.S.), Fortinet, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Micron Technology, Inc. (U.S.), Check Point Software Technologies Ltd. (U.S.), Imperva (U.S.), McAfee LLC (U.S.), LogRhythm, Inc. (U.S.), Sophos Ltd. (U.S.), NortonLifeLock Inc. (U.S.), and Crowdstrike Holdings, Inc. (U.S.)among others.

Browse in-depth TOC on"Artificial Intelligence In Cybersecurity Market - Global Opportunity Analysis And Industry Forecast (2022-2029)"380 Tables43 Figures441 Pagesclick here:https://www.meticulousresearch.com/product/artificial-intelligence-in-cybersecurity-market-5101

Scope of the Report:

AI in Cybersecurity Market by Component

AI in Cybersecurity Market by Technology

AI in Cybersecurity Market by Security Type

AI in Cybersecurity Market by Application

AI in Cybersecurity Market by Deployment Type

AI in Cybersecurity Market by Industry Vertical

AI in Cybersecurity Market by Geography:

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Artificial Intelligence in Cybersecurity Market Worth $66.22 billion by 2029 -- Exclusive Report by Meticulous Research - PR Newswire

4 major trends influencing the Europe cloud computing market size over 2019-2026

Rising necessity to reduce maintenance and procurement costs in IT infrastructure is a major reason driving the growth of Europe cloud computing market. Cloud service providers provide on-demand resources such as networking, applications and storage according to the per-per-use business model. This enables businesses to scale up or scale down cloud services on the basis of their requirements, leading to a fairly steady adoption rates of cloud computing platforms.

Robust expansion by prominent cloud vendors is also likely to stimulate the regional market trends. In December 2018 for instance, AWS introduced three data centers in Sweden, enabling various businesses in the country integrate cloud computing and data storage systems in their operations. This apparently has helped AWS hold a large share of Europe cloud computing market.

Global Market Insights, Inc., estimates the Europe cloud computing market is estimated to be worth USD 75 billion by the year 2026.

Favorable European government reforms which encourage utilization of cloud solutions in enterprises is augmenting the demand for cloud computing platforms across the region. Increasing dependence on U.S-based cloud service providers and major data security concerns have also led to the regional governments enforcing norms to lower this dependency on cloud providers such as like Google, Microsoft and AWS. Reportedly, France and Germany teamed up in Gaia-X in October 2019 to provide cloud computing services across Europe and to reduce dependency on U.S-based cloud service providers.

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Enumerated below are trends that can impact Europe cloud computing industry outlook through :

Shifting preference towards SaaS cloud computing services

Estimates claim that the SaaS cloud computing services held 65% of Europe cloud computing market share in 2018. SaaS provides high flexibility and scalability rates and reduces the need for large-scale infrastructure since it can be accessed through web browsers and various mobile devices. It is also used to provide CRM (Customer Relationship Management) applications which enable businesses to utilize benefits such as pay-per-use subscription models which are inexpensive.

This factor coupled with rising adoption rates of machine learning and AI technologies are fueling the demand for SaaS cloud computing services across Europe.

Growing inclination of public cloud deployment models by European SMEs

The public cloud deployment services held 50% of Europe cloud computing market share in 2018 owing to growing inclination toward using public cloud computing models by European SMEs and startups. The public cloud services not only reduce unnecessary expenditure on IT resources but also can handle unpredictable workloads.

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According to Directorate-General of EuroStat (European Commission for Statistics), public cloud adoption rate in startups was more than 11% as compared to large enterprise in EU. Since this deployment model enabled easy resource sharing amid numerous enterprises, public cloud usage is likely to increase across Europe in the upcoming years.

Surging adoption rates of cloud computing solutions in retail sector

In recent times, the retail sector is observed to leverage consumer data in order to improve business intelligence and provide better customer experience. Centralized invoicing through the cloud and interconnected POS (Point-of-Sale) technologies are enabling retail firms to deliver enhanced customer services. Earlier in October 2018, Metro AG transferred 100 business systems to SAP S/4HANA and Google Cloud Platform (GCP) which helped the German retailer to offer automated digital invoices to its customers. Moreover, it also improved the companys invoice processing system for its wholesale consumers.

Germanys expanding ICT infrastructure and automotive sector

Germany held 18% of the Europe cloud computing market share in 2018 and is expected to grow substantially in the estimated timeframe. The regional growth can be attributed to the rising adoption of cloud computing technologies by the automotive sector in Germany. In March 2018 for example, Daimler AG used Microsoft Azure cloud services to come up with a range of vehicle IoT apps and telemetry solutions.

The regional ICT infrastructure has also been depicting a notable enhancement, which has further led to the increasing adoption of the cloud. As the inclination toward Industry 4.0 rises and the regional firms increase their adoption of SaaS, Germany is anticipated to emerge as a vital growth avenue for Europe cloud computing market.

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Europe Cloud Computing Market share research by applications and regions - Play the Music

Once upon a time, the main product of public clouds was infrastructure. That infrastructure was constructed using hardware that the clouds acquired mostly from third-party providers, and the infrastructure hosted whichever third-party software platforms customers chose to deploy on it.

Ah, how times have changed. Today, major cloud providers seem to be on a vertical integration bent. Not only are providers such as Amazon Web Services (AWS) and Google Cloud Platform investing heavily in software products that customers can run on top of their cloud infrastructure, they are now even sourcing their own hardware which means that, at some point in the not-so-distant future, entire cloud computing environments may consist primarily of hardware and software components sourced from a single vendor.

Related: Oracle Cloud Debuts Networking, Compute, and Storage Tools

Here's how vertical integration is playing out in the cloud industry, and what this cloud computing trend means for the future of public cloud.

To understand just how much vertical integration is changing cloud computing, you must first understand how the public cloud business model traditionally worked.

Related: 3 Ways to Leverage Open Source in the Cloud

Originally, public clouds specialized mostly just in infrastructure as a service (IaaS). They sold virtual machine instances, storage, databases, and the like. To the extent that public clouds provided software, it mostly consisted of basic monitoring and administration tooling, like AWS CloudWatch and Azure Monitor, that worked only within each public cloud's own environments.

The only area where you could accuse public clouds of vertical integration 10 years ago was the platform-as-a-service (PaaS) front. Early on, the major cloud providers rolled out PaaS solutions (such as AWS Elastic Beanstalk, which debuted in 2011) that competed with third-party offerings like Heroku. By offering their own PaaSes, public clouds were able to couple their IaaS offerings with software tools.

But even here, they were targeting a narrow market. To the extent that PaaS vertically oriented public clouds, it did so for limited use cases and limited sets of users.

That started to change around the mid-2010s, when public cloud providers began investing more extensively in software platforms that could run on top of their infrastructures.

Broadly speaking, most of these solutions fell into three main categories:

At the same time, the big public clouds doubled down on their investment in PaaS. Alongside basic tools such as Elastic Beanstalk, they built sophisticated managed containers-as-a-service and Kubernetes offerings that when integrated with managed DevOps tools, like Azure Pipelines, and operating systems, like AWS Bottlerocket provide developers with everything they need to build, deploy, and orchestrate applications without ever leaving a given cloud provider's ecosystem.

Not content to be just software vendors, the public clouds are now turning themselves into hardware vendors, too, by developing their own computing chips.

AWS, which already offers VM instances powered by chips sourced from the company, is currently the furthest along in this journey. But there are clear signs that Microsoft and Google are close behind.

Admittedly, there will probably always be room for third-party hardware inside the Big Three clouds' data centers. So far, the clouds are only building their own chips, not storage devices, NICs, and so on. It's also far too early to say whether cloud vendors intend to transition completely to chips that they source in-house, or to use those processors only for certain services or instance types.

Still, the move toward internal hardware sourcing is a very big deal. It means that the day will come (in fact, it's already here, at least for certain AWS use cases) when virtually the entire stack required to host a workload from the CPU, to the VM instance, to the OS, to the software application will originate from a single provider. Using the public cloud may feel a lot more like using an Apple product where almost everything is sourced from one vendor than running, say, a PC where the hardware comes from Dell, the OS from Microsoft, and the software from a variety of other vendors.

Why are cloud providers investing in vertical integration, and how will it shape the future of the cloud?

It's hard to do more than speculate at this point, but I suspect that one outcome of this cloud computing trend will be stronger differentiations between public clouds. When all the clouds were basically just IaaS providers, there wasn't a lot of difference between them, apart from details like pricing and how VM instances were configured. But when public clouds become software vendors, and when they design their own chips, they have a greater ability to build unique products and services.

Vertical integration is also likely to have major consequences for "alternative" cloud providers, meaning smaller clouds that attempt to compete with AWS, Microsoft Azure, and Google Cloud. The ability to develop and source hardware and software is probably beyond the capability of most alternative clouds, which means they will have to chase customers in other ways perhaps by undercutting the larger cloud providers' pricing for core IaaS services.

The vertical integration trend in the cloud computing market hasn't received a lot of attention, but it should. It's one of the most powerful forces in cloud computing today, and it promises to have profound implications for the way cloud providers operate and the way customers use their platforms.

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From Software to Hardware, Vertical Integration Is a Cloud Trend to Watch - ITPro Today

Lets see which of the two, Cloud Computing or In-House servers, is cheaper for implementing in Organizations

Could computing and in-house IT servers or even hybrid server models are extensively used for Data storage, data backup and recovery. A failed server can have disastrous consequences for your organisation, which is why you must select the appropriate server for your needs. While it may appear to be a simple binary choice, there are other factors to consider.

Cloud computing refers to the on-demand availability of computer system resources, particularly data storage (cloud storage) and computational power, without the need for the user to actively manage them. Cloud computing relies on resource sharing to accomplish coherence and is often based on a pay-as-you-go approach, which can help reduce capital costs but can also result in unanticipated running costs for unwitting users.

1. There is no requirement for onsite hardware or capital expenditures. Smaller businesses that may outgrow storage space fast can benefit from this option.

2. As needed, more storage can be added. On-demand solutions are common, so you only pay for what you need.

3. Backing up and restoring data can be done from any computer, tablet, or smartphone.

4. Data can be backed up on the cloud as little as 15-minute intervals, reducing the risk of data loss in the event of a disaster. The recovery time for small data sets has been enhanced.

1. For firms that arent as reliant on uptime and quick recovery, the expenses of data recovery may exceed the benefits.

2. Due to storage availability and cost, an organizations data storage capacity on the cloud may be limited.

3. You wont be able to access any of your data if the internet goes down on your end or on your cloud providers end.

4. Full data recovery could take a long time and have a significant impact on systems.

An in-house server is, as the name implies, installed on the premises (usually the office, studio, etc.). It gives all employees access to the data and programs that are kept on the local systems. Companies that do not wish to rely on the Internet may benefit from having some in-house server gear.

1. Total control: With an in-house server, you have entire physical control over upgrades, backups, and pretty much everything, allowing you to customise it to your companys needs.

2. Compliance: Using in-house servers, you can retain all of your vital data and information on your own servers, where no one else has access to it. This is especially useful for businesses that are subject to stringent rules or that deal with highly sensitive data.

3. There is no reliance on the Internet: You dont have to rely on the internet to access your information. Even if your Internet connection is down, you can still work on your server, resulting in no loss of productivity.

4. Small and medium-sized businesses may find it more cost-effective.

1. One of the biggest problems with in-house servers is that they wont survive worst-case scenarios such as natural disasters and are more prone to data loss.

2. Servers take up a lot of space, need a lot of electricity, and generate heat. They require a secure location, power, and cooling system in order to function well.

3. Cost: An in-house server isnt as inexpensive as you would believe. Companies must budget for dedicated IT personnel, hardware, maintenance, updates, and license renewal. Furthermore, when things arent done automatically, you must devote time to them. We are all aware that time is money.

4. Downtime: With in-house servers, there is no guarantee of uptime or recovery, making your firm more vulnerable to downtime.

Cloud computing has developed at a breakneck pace over the last few years, fuelled by rising storage demands, ease of use, automated software upgrades, and users need for unrestricted access and maximum flexibility. This is due to the fact that there are numerous scenarios in which cloud computing makes sense. The most obvious example would be a tiny business working on a shoestring budget with little cash flow. This is due to cloud computings ability to provide access to resources without requiring substantial capital investmentsIn terms of disaster recovery, the cloud can be a viable solution for businesses of all sizes. Furthermore, the cloud excels at providing alternatives for quick capacity, allowing businesses to set up distinct instances for mild burst capacity.

When it is best to deploy in-house infrastructure rather than use the cloud, several criteria must be considered. The monthly cost is at the top of the list. For some businesses, the AWS price of $30,000 per month is more expensive than an in-house solution.

Choosing whether to keep your data in the cloud or on your premises does not have to be a binary decision. In some circumstances, combining the two (hybrid) is a good option. The cloud can be a useful choice for businesses with limited budgets. Other businesses may prefer to run in-house servers for routine work and then go to the cloud for extra capacity.

Whether you opt for an in-house, cloud, or hybrid solution, it is primarily determined by your companys operations, goals, and capabilities.

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Overview Of Cloud Computing in Higher Education Market

Cloud computing is the use of computing resources where systems are connected by public or private networks to offer scalable infrastructure for applications and file storage. It offers a pool of resources that includes data storage, specified applications, and networks and computer processing power. Across regions, governments and private organizations are accelerating education digitization through various monetary and non-monetary initiatives.

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This has brought along several changes in This report also covers the impact of COVID-19 on the global market.

The risingtechnology in Cloud Computing in Higher Education Marketis also depicted in thisresearchreport. Summary Factors that are boosting the growth of the market, and giving a positive push to thrive in the global market is explained in detail. The study considers the present scenario of the data center power market and its market dynamics for the period 2022-2028. It covers a detailed overview of several market growth enablers, restraints, and trends. The report offers both the demand and supply aspects of the market. It profiles and examines leading companies and other prominent ones operating in the market.

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Key Competitors of the Global Cloud Computing in Higher Education Market are: Blackboard, Cisco, Ellucian, Instructure, Adobe Systems, EMC, NetApp, Salesforce

Historical data available in the report elaborates on the development of the Cloud Computing in Higher Education on national, regional and international levels. Cloud Computing in Higher Education Market Research Report presents a detailed analysis based on the thorough research of the overall market, particularly on questions that border on the market size, growth scenario, potential opportunities, operation landscape, trend analysis, and competitive analysis.

Major Product Types covered are: SaaS

IaaS

PaaS

The Application Coverage in the Market are: Training & Consulting

Integration & Migration

Support & Maintenance

This study report on global Cloud Computing in Higher Education market throws light on the crucial trends and dynamics impacting the development of the market, including the restraints, drivers, and opportunities.

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The fundamental purpose of Cloud Computing in Higher Education Market report is to provide a correct and strategic analysis of the Cloud Computing in Higher Education industry. The report scrutinizes each segment and sub-segments presents before you a 360-degree view of the said market.

Market Scenario:

The report further highlights the development trends in the global Cloud Computing in Higher Education market. Factors that are driving the market growth and fueling its segments are also analyzed in the report. The report also highlights on its applications, types, deployments, components, developments of this market.

Highlights following key factors:

:-Business descriptionA detailed description of the companys operations and business divisions.:-Corporate strategyAnalysts summarization of the companys business strategy.:-SWOT AnalysisA detailed analysis of the companys strengths, weakness, opportunities and threats.:-Company historyProgression of key events associated with the company.:-Major products and servicesA list of major products, services and brands of the company.:-Key competitorsA list of key competitors to the company.:-Important locations and subsidiariesA list and contact details of key locations and subsidiaries of the company.:-Detailed financial ratios for the past five yearsThe latest financial ratios derived from the annual financial statements published by the company with 5 years history.

Our report offers:

Market share assessments for the regional and country level segments. Market share analysis of the top industry players. Strategic recommendations for the new entrants. Market forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets. Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations). Strategic recommendations in key business segments based on the market estimations. Competitive landscaping mapping the key common trends. Company profiling with detailed strategies, financials, and recent developments. Supply chain trends mapping the latest technological advancements.

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Multiple cloud cybersecurity companies are gaining popularity to combat cloud cyberattacks in companies.

The emergence of IoT devices with the integration of cutting-edge technologies like artificial intelligence and computer vision has made significant growth in cybersecurity measures. Multiple cloud cybersecurity companies are gaining popularity to combat cloud cyberattacks in companies. There are different cybersecurity services in this Industry 4.0 that can protect internet-connected systems or other IoT devices. This article features the top 10 cloud cybersecurity companies to look out for in 2022.

Generally, Cloud cybersecurity or Cloud Computing Security means nothing but protecting the cloud data or information from hacking, deletion, any online theft, leakage, and more. This Cloud cybersecurity is offered through a group of applications, firewalls, policies, VPNs controls, technologies, little software-based tools, and more. Cloud cybersecurity is a part of network or computer security. The cloud cybersecurity companies which offer the security services related to Cloud Computing are therefore termed as Cloud Security Solutions and Services.

Cloud security differs based on the category of cloud computing being used. There are four main categories of cloud computing: Public cloud services, operated by a public cloud provider these include software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS).

Cipher is a global cybersecurity company that delivers a wide range of services. Get peace of mind with protection from cyber threats and hacking. Cipher normalizes and analyzes security log data from across your network, applications, systems, and IoT devices. Uses that data to detect threats and alerts the SOC. It is one of the best cloud cybersecurity companies to look out for in 2022.

Perimeter81 is known as the first cybersecurity experience platform to streamline SASE with the ground-breaking ease-of-use as well as unified network security stack. It is one of the top emerging cybersecurity companies in 2022 for its delivery of smarter and accessible cybersecurity to prevent cyberattacks in companies. This cybersecurity company wants companies to break free from potential cyberattacks through Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE).

Get deep visibility into cloud, on-premises, and hybrid environments during cloud migrations. With Datadog, organizations can fully map their legacy and cloud-based systems, monitor real-time data during every phase of the cloud transition, and ensure that migrated applications meet performance targets. It is one of the best cloud cybersecurity companies to lookout for in 2022.

Axis Security is one of the best cloud cybersecurity companies to provide secure application access to leading global businesses across the world. The innovative technologies with a zero-trust business-centric approach transform open networks to prevent potential cyberattacks in companies. It is working on boosting partner collaboration and digital transformation with a simple managed cloud solution for meeting the business requirements.

ProofPoint provides software as a service and products for email security, data loss prevention, electronic discovery, and email archiving. Proofpoint is a leading cybersecurity company that protects organizations greatest assets and biggest risks: their people. It is one of the best cloud cybersecurity companies to look out for in 2022.

Vdoo helps to identify vulnerabilities and eliminate potential cyberattacks in companies efficiently and effectively. Companies can have an in-depth knowledge of a wide range of cybersecurity services and other security issues. The automated platform offers end-to-end product security with the security teams to ensure optimal product security. This cybersecurity company covers a wide range of cybersecurity services through IoT devices such as supply chain threats, configuration risks, zero-day vulnerabilities, and so on.

Fortinet is a Computer and Network Security Company that develops and promotes firewalls, anti-virus, security gateways, and also other cybersecurity software to safeguard your Public, Private and Hybrid Cloud. FortiCASB is planned to afford data security, visibility, threat protection, and compliance for the cloud data of all sized enterprises. It is one of the best cloud cybersecurity companies to lookout for in 2022.

SECURITI.ai helps to comply with global privacy regulations in a PrivacyOps platform to protect from cyberattacks in companies. This cybersecurity company offers data intelligence, privacy, and security through data mapping automation, assessment automation, vendor risk management, and many more. It provides cybersecurity services to combat perilous security, privacy risks, and compliance through market-leading enterprise security and compliance solutions at Symantec, Blue Coat, and Elastica.

Cado Security

Cado Security is well-known for providing the first-ever cloud-native digital forensics platform for companies. This cybersecurity company leverages the cloud to identify potential areas of cyberattacks in companies at the root cause without any error. The mission is to empower security teams with smarter ways to investigate, identify, and respond to cybersecurity issues in the cloud.

Enso Securityis committed to helping cybersecurity teams to build simplified as well as scalable application security programs. It is known for consolidating data to reduce breakers in searching and tracking while integrating with native collaboration tools. This cybersecurity company is focused on letting AppSec teams utilize their own unique skills and approaches to apply cybersecurity services. It is one of the best cloud cybersecurity companies to lookout for in 2022.

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CHICAGO , March 25, 2022 /PRNewswire/ -- According to a research report Personal Cloud Market with COVID-19 Impact, By Revenue Type, User Type (Enterprises (SMEs and Large Enterprises) and Consumers), and Region (North America, Europe, Asia Pacific, Middle East & Africa and Latin America) - Global Forecast to 2027", published by MarketsandMarkets, the global Personal Cloud Market is projected to grow from USD 20.8 billion in 2022 to USD 50.8 billion by 2027 at a compound annual growth rate (CAGR) of 19.6% during the forecast period.

A personal cloud is a repository of digital content and services that can be accessed from any device. Personal cloud is a non-physical entity. It is a location where users can store, synchronize, stream, and share content while moving from one platform, screen, and location to another. It was built on connected services and applications. It reflects and sets consumer expectations for how next-generation computing services will function. The online cloud is also known as the public cloud.

Browse in-depth TOC on"Personal Cloud Market"

306 Tables 57 Figures 236 Pages

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The Consumer segment is estimated to have the largest market size during the forecast period

Since the introduction of the internet, the computer industry has been shifting away from local to server-based storage. However, it was only with the introduction of personal storage and file-sharing services that cloud storage began to achieve popular notice and use. The drive toward the personal cloud is to complete utilization of the storage of computer or mobile as consumers can put media and documents in an online drive and share it across devices.

The SMEs is expected to hold a higher growth rate during the forecast period

Personal cloud is undoubtedly one of the most profitable investments a small firm can make. Due to its cost-effectiveness and flexibility of use, online storage solutions for small businesses have exploded in popularity in recent years. These cloud-based storage systems are scalable and dont require a large upfront investment in physical storage equipment. Other benefits of using Cloud storage solutions include disaster recovery, increased security, and real-time data updates. Some of the key players for SMEs are Spideroak, Just Cloud, which supports third-party apps to run smoothly and efficiently. Cloud storage for SMEs has some features, such as workflow management, data management, and user management. Small business storage and backup options provide 100% data security and privacy, as well as complete customer control.

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North America to dominate the Personal Cloud Market in 2022

Personal cloud storage, mobile cloud storage, and pocket cloud storage are all terms used in the North American Personal Cloud Market. Personal cloud can take on different meanings depending on how it is implemented, such as when it acts as a storage appliance that can be retrieved wirelessly or via the internet. Because of the growth in multi-cultural organizations that are required to work over similar platforms without compromising on the quality of work across different geographical locations, the US market accounted for the largest share of the North American Personal Cloud Market.

Market Players:

Some of the major players in the Personal Cloud Market are Alphabet Inc, (US), Microsoft Corporation (US), Apple Inc. (US), Dropbox, Inc. (US), Amazon Web Services, Inc. (US), Box (US), Seagate Technology LLC (US), Western Digital Corporation (US), Synchronoss Technologies, Inc. (US), Egnyte, Inc. (US), Buffalo Inc. and Melco Holdings Inc. (Japan), Funambol, Inc. (US), j2 Global, Inc. (US), D-Link Corporation (Taiwan), ElephantDrive Inc. (US), ownCloud (Germany), Cloudike (US), SpiderOak Inc. (US), pCloud AG (Switzerland), Tresorit, and ASUS Cloud Corporation (Switzerland), Internxt Inc. (Spain), IceDrive, Sync.com (Canada), iDrive Inc. (US), MiMedia Inc. (US), Dracoon (Germany), and OpenDrive Inc. (US).

Browse Adjacent Reports: Cloud ComputingMarket ResearchReports & Consulting

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Cloud ComputingMarket by Service Model (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)), Deployment Model (Public and Private), Organization Size, Vertical, and Region - Global Forecast to 2026

Cloud StorageMarket by Component (Solutions and Services), Application (Primary Storage, Backup and Disaster Recovery, and Archiving), Deployment Type (Public Cloud and Private Cloud), Organization Size, Vertical, and Region - Global Forecast to 2025

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Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

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Contact:Mr. Aashish MehraMarketsandMarkets INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [emailprotected]Research Insight: https://www.marketsandmarkets.com/ResearchInsight/personal-cloud-market.aspVisit Our Website: https://www.marketsandmarkets.comContent Source: https://www.marketsandmarkets.com/PressReleases/personal-cloud.asp

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Personal Cloud Market worth $50.8 billion by 2027 - Exclusive Research by MarketsandMarkets - PR Newswire

The globalCloud Computing in Automotive marketresearch provides data on a international and national basis industry size and value. SWOT analysis is often used in Cloud Computing in Automotive market research to assess the amount of internal and external factors that affect the result. The research study presents a number of developing markets with an interest in the industry. The Cloud Computing in Automotive industry analysis reflects the global economy, as well as the demographic conditions and estimates of the largest manufacturers. Similarly, the market is segmented globally by form, end-user, and application. In addition, the Cloud Computing in Automotive market research gives a clear and comprehensive analysis of the market, covering product application, availability, consumer demand, and growth. The study looks at the regional dynamics, general outlook, new developments, and price structure of the market. Two of the most significant factors in the sector are global Cloud Computing in Automotive market changes and global demand.

Top Key Players Profiled in this report are:NA

The study primarily targets the growth inducing variables as the focal point of the future forecast estimations predicting the foreseeable opportunities and growth projections of the global Cloud Computing in Automotive market. Besides, the report also conducts a thorough survey of the growth inhibiting factors responsible for hampering the Cloud Computing in Automotive market growth. The forecast growth trajectory is structured based upon the qualitative research outcome. It includes assessment of key trends causing dynamic changes to the conventionally driven Cloud Computing in Automotive market realizing its influence on the future growth. Altogether, the report prominently highly major factors that have a significant impact on altering the growth of the global Cloud Computing in Automotive market along the forecast period.

The global Cloud Computing in Automotive market report is updated study and implications of the coronavirus outbreak on the Cloud Computing in Automotive industry. Information provided in the report is collected data from authorized organizations that allow the business professionals to make data-driven decisions. The primary and secondary research, SWOT analysis are used that ensure data accuracy, efficiency, and accountability by delivering quality information which may be not available for the open market. The report analyzes the major firms, focusing on their innovative developments, operations, in addition to listing of emerging market players capturing the market.

Global Cloud Computing in Automotive market is segmented based by type, application and region.

Based on Type, the market has been segmented into:Amazon Web Services, Microsoft Azure, and Google Cloud Platform

Based on application, the market has been segmented into:

Regional Assessment and Segment Diversification.

North America (U.S., Canada, Mexico)

Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)

Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)

Latin America (Brazil, Rest of L.A.)

Middle East and Africa (Turkey, GCC, Rest of Middle East)Highlights of the Report:

The recovery efforts by the industry leaders are mentioned in the report.

The regulatory trends impacting the financial condition of the Cloud Computing in Automotive industry and key issues in the regulatory environment significantly impacting the market and businesses are presented in the report.

The report learns the technologies that are deployed by the leading players to boost their business process and enhance operational efficiency.

The relief programs initiated by the governments to stabilize and support growth in the global Cloud Computing in Automotive market are included in the report.

The report explores the products and services in the market that are highly profitable as well as presents the segments that are critical to profitability.

The report offers a proprietary forecast of the economic scenario of the global Cloud Computing in Automotive industry.

The accelerating and decelerating megatrends in the Cloud Computing in Automotive industry are studied.

The report explores the market segments that could remain at elevated levels in the year ahead.

Key questions answered in the report:

1. What is the growth potential of the Cloud Computing in Automotive markets?

2. Which product segment will get the lions share?

3. Which regional market will emerge as a forerunner in the coming years?

4. Which application segment will grow at a steady pace?

5. What are the growth opportunities that could emerge in the lock washer industry in the coming years?

6. What are the main challenges that the global Cloud Computing in Automotive markets could face in the future?

7. What are the leading companies in the world market of Cloud Computing in Automotive?

8. What are the main trends that have a positive impact on the growth of the market?

9. What are the growth strategies envisaged by the players to maintain their grip on the global market for Cloud Computing in Automotive?

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