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Cloud Computing Market Size, Share, Trends and Analysis by Infrastructure (Service, Software/Application), Product/Service (Cloud Management Platforms, Hybrid Cloud Services, IaaS, Managed Cloud Services, PaaS, Private Cloud Services, SaaS), Vertical, Region and Segment Forecast to 2026.

New York, June 09, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Cloud Computing Market Size, Share, Trends and Analysis by Infrastructure, Product/Service, Vertical, Region and Segment Forecast to 2026" - https://www.reportlinker.com/p06467138/?utm_source=GNW

SummaryThis market intelligence report offers a thorough, forward-looking analysis of the global cloud computing market, and key segments in a concise format to help executives build proactive and profitable growth strategies.

The cloud computing market size will be valued at $736.3 billion in 2023 and is expected to grow at a CAGR of 16.3% over the forecast period. The cloud computing market report provides an executive-level overview of the cloud computing market worldwide today, with detailed forecasts of key indicators up to 2026.

Scope- This report provides overview and service addressable market for cloud computing.- It identifies the key trends impacting growth of the market over the next 12 to 24 months.- It includes global market forecasts for the cloud computing industry and analysis of patents, company filings, and hiring trends.- It contains details of M&A and VF deals in the cloud computing space.- The detailed segmentation consists of IT infrastructure, product/service, vertical and region.

Reasons to Buy- This market intelligence report offers a thorough, forward-looking analysis of the global cloud computing market by channel type, business model, spend category, and key opportunities in a concise format to help executives build proactive and profitable growth strategies.- Accompanying Forecast products, the report examines the assumptions and drivers behind ongoing and upcoming trends in cloud computing markets.- Porters five forces analysis: demonstrates the strength of suppliers and buyers along with market competition in the market.- The report also highlights key IT infrastructure segments (Service, Software/Application)- The report also highlights key product/service segments (Cloud Management Platforms, Hybrid Cloud Services, IaaS, Managed Cloud Services, PaaS, Private Cloud Services, and SaaS.- The report also highlights key vertical segments (BFSI, Information Technology, Manufacturing, Retail, Energy, Government, Transport & Logistics, and Others)- With more than 50 charts and tables, the report is designed for an executive-level audience, boasting presentation quality.- The report provides an easily digestible market assessment for decision-makers built around in-depth information gathered from local market players, which enables executives to quickly get up to speed with the current and emerging trends in cloud computing markets.- The broad perspective of the report coupled with comprehensive, actionable detail will help BFSI stakeholders, service providers, and other cloud computing players succeed in growing the cloud computing market globally.Read the full report: https://www.reportlinker.com/p06467138/?utm_source=GNW

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Cloud Computing Market Size, Share, Trends and Analysis by Infrastructure, Product/Service, Vertical, Region and Segment Forecast to 2026 - Yahoo...

By Sanjay Kaushik

The cumulative relevance of Industry 4.0 has led to a rise in investments in innovation, digitalisation and technology. However, there are potential risks connected to this digital transformation, especially in relation to cloud cybersecurity. Targeted cyberattacks have become more sophisticated as they regularly modify and enhance their attack techniques. According to a CheckPoint analysis, each company in India had an average of 2,108 weekly cyberattacks in the initial quarter of 2023, an increase of about 18% over the same period in the previous year.

The rise of cyberattacks, which prey on the weaknesses of networked machines, affects the performance of an organisation, which in turn, has made it imperative for organisations to adopt advanced solutions to safeguard their sensitive data and protect their networks. In this regard, generative AI has become one of the hottest buzzwords recently. Thanks to recent advances, we can see its growing popularity among the tech community. However, when combined with cloud technology, it can potentially transform into a potent tool that can offer a robust defence mechanism against cyber threats.

Generative AI and cloud computing: a symbiotic relationship

Even though the cloud and AI have different problems to solve and different growth routes, their development is inexorably linked, and when used together, they can be successful cybersecurity solutions. India Inc. has been utilising the cloud idea for numerous operational and digitalisation goals for some time now. By 2026, cloud computing will contribute 8% of Indias GDP, according to a report from Oliver Wyman and NASSCOM from 2022.

However, generative AI is still in its infancy internationally and in India. The global market for generative AI is predicted to be worth USD 51.8 billion by 2028, expanding at a CAGR of 35.6%, according to research by Research and Markets. The development of cloud storage, which makes it simple to access data, the advancement of AI and deep learning, and the introduction of effective cybersecurity solutions are all expected to drive the growth of the combined industry.

Generative AI integration in cloud computing has formed a symbiotic relationship, revolutionising the way we create and deploy intelligent systems. This mutually beneficial partnership can give companies effective solutions to improve cybersecurity. Some potential advantages of this amalgamation can be improved threat detection, data anonymisation, data augmentation and tech democratisation.

Enabling threat intelligence

In order to detect and respond to attacks in real-time, generative AI can analyse massive amounts of data to find patterns and indicators of compromise. As a result, security teams may be better able to anticipate new dangers and promptly respond to intrusions. In some circumstances, generative AI can even foresee the need for additional security equipment. Therefore, it can be used to identify new threats that more established cybersecurity defences might miss. This gives businesses access to threat intelligence.

Facilitating data anonymisation

Data anonymisation is becoming a requirement in order to service the customer and take advantage of new business prospects, making data anonymisation even more crucial. However, to perform all of this, it is vital to protect the personal information of the people or organisations. As a result, businesses are under ongoing pressure to safeguard customer privacy while gathering and utilising data to enhance their goods and services. Fortunately, cloud-integrated generative AI can be a workable answer in this situation. In contrast to the original data, fresh data samples produced by generative AI do not divulge any confidential information. This can make data sharing across firms safer and slash the chances of data breaches.

Simulated environment

As a security measure, a realistic phishing email or other attacks can be produced using generative AI, which can then be used to train staff members and AI-enabled security systems to identify and avert such attacks. This can enhance the overall security posture and aid in preventing potential assaults. Furthermore, it can test and assess security measures and reactions thanks to its capacity to simulate environments that closely resemble real-world circumstances. Additionally, generative AI can expand the training dataset and enhance the precision of the machine learning models by creating fresh data samples comparable to the original data. This can aid in finding flaws and enhancing overall security readiness.

Democratisation of tech

The combination of cloud computing and artificial intelligence will probably lead to greater democratisation of technology. Powerful technological capabilities wont just be available to businesses with a lot of capital to invest in cloud security solutions. With the help of the cloud and AI-enhanced tools, even an emerging business will have a sizable competitive advantage. Since it allows smaller companies to compete with larger ones with sophisticated data centres, the cloud has always been a powerful democratising factor. Additionally, generative AI has a more substantial democratising impact by offering tools with a multiplier effect.

All things considered

Generative AI has a huge potential to change cloud computing cybersecurity. Its integration into cloud computing can give companies effective solutions to improve cybersecurity. Generative AI and the cloud can assist in identifying and responding to threats before they do harm by enabling threat intelligence, offering a simulated environment, and simplifying data anonymisation.

Businesses must prioritise cybersecurity and use emerging technologies to safeguard their resources and sensitive data as the world becomes more dependent on technology. In this regard, the integration of generative AI with cloud computing presents a compelling solution to enhance business cybersecurity. As cybercriminals become more sophisticated, businesses must embrace advanced solutions to fortify their defences and safeguard their valuable assets in the digital realm.

The author is MD at corporate security, Netrika Consulting

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Using generative AI in conjunction with cloud computing to improve business cybersecurity - The Financial Express

Introduction

Organizations continue to face a critical decision when it comes to their IT infrastructure: fully embrace the cloud, or adopt an on-premises model? The question remains pertinent despite the fact that the cloud has been around for almost two decades now. This article will provide deeper context to this question with the goal of helping organizations make better-informed infrastructure decisions unique to their specific requirements and environments.

As their name implies, on-premises environments have computing resources and systems that are physically located within an organizations premises or facilities. This gives them direct control and ownership over their IT infrastructure, including the physical infrastructure, security measures, and network connectivity. This means they are also responsible for procuring, installing, configuring, and managing all the necessary components as well as ensuring their maintenance, upgrades, backups, and security.

In contrast, a cloud-based infrastructure involves the deployment and maintenance of servers, storage devices, networking equipment, and other hardware and software resources in the cloud service providers data centers. A cloud infrastructure is easier to deploy and manage initially, with no required upfront capital expenditures in hardware. Cost-wise, the cloud uses a metered, pay-per-use model, whichdepending on scaling requirements and other factorscan be more cost-effective than on-premises.

The cloud has revolutionized the way organizations consume and manage data, applications, and IT resources. Some crucial benefits of the cloud include:

Some potential drawbacks to consider when adopting cloud infrastructures include the following:

On-premises IT infrastructures provide organizations with significant benefits absent in cloud implementations, including the following:

On-premises infrastructures also have their share of drawbacks:

The choice between cloud and on-premises infrastructure ultimately depends on the unique needs and priorities of each organization. Heres a look at how each solution measures up on key feature areas.

Because cloud service providers handle hardware maintenance, software updates, and security, on-premises solutions may seem costlier; however, once on-premises IT infrastructure is established, the ongoing costs can be lower compared to long-term cloud usage. Additionally, cloud computing costs can easily skyrocket if not properly configured and managed. However, for organizations that need to scale their resources according to fluctuating demand, the clouds pay-as-you-go pricing model can result in more predictable monthly costs, if optimized correctly.

To implement a cloud-based infrastructure, organizations must select a cloud service provider, migrate applications and data, and configure the necessary resources. Over the years, standard best practices for migrating from on-premises to the cloud have emerged, and cloud providers offer extensive documentation, support, and tools to facilitate the migration process. However, organizations should nonetheless carefully plan and execute their cloud migrations to ensure minimal disruption and optimal performance.

Implementing on-premises infrastructures also require significant planning, hardware procurement, installation, and configuration; however, in this case organizations must allocate resources for building and maintaining the infrastructure, including skilled IT personnel for ongoing management.

Cloud service providers invest heavily in security measures, including data encryption, access controls, and threat detection systems. They employ dedicated security teams and adhere to industry standards and compliance regulations. However, organizations must also take responsibility for securing their applications, data, and user access through proper configuration and robust security practices.

When it comes to on-premises, organizations are left to their own devices and have direct control over their security measures. They can implement specific security protocols, firewalls, and intrusion detection systems tailored to their requirements. However, this also means that organizations are solely responsible for ensuring the effectiveness of these security measures and staying up to date with the latest threats and vulnerabilities.

Cloud service providers often offer compliance certifications and attestations to demonstrate their adherence to industry-specific regulations and security standards. This is crucial for organizations operating in highly regulated industries or handling sensitive data; however, firms must nonetheless ensure that their specific cloud-based IT assets are properly configured, and that any additional security measures are in place to meet specific compliance requirements. On-premises infrastructure allows organizations to maintain full control over compliance and regulatory requirements. They can implement customized security controls and monitoring processes to meet specific compliance standards.

Cloud services enable universal accessibility, allowing users to access data and applications from any location with an internet connection. This flexibility is particularly beneficial for remote workforces, enabling seamless collaboration and productivity. On-premises infrastructures may pose limitations on accessibility, especially for remote or geographically distributed teams. Organizations must establish secure remote access mechanisms to enable remote access to on-premises IT resources.

In some cases, organizations may opt for a hybrid cloud approach that combines elements of both cloud and on-premises infrastructures. This model allows organizations to leverage the scalability and flexibility of the cloud while maintaining sensitive data or critical applications on-premises. For many organizations, hybrid cloud environments provide the best of both worlds, allowing for a balance of cost efficiency, flexibility, and data control.

The choice between cloud and on-premises infrastructures depends on the specific needs, priorities, and circumstances of each organization. The following are several ideal use cases for cloud and on-premises IT infrastructures, with factors such as cost, scalability, data control, compliance requirements, and security all come into play when making an informed decision.

The choice between cloud and on-premises infrastructure ultimately depends on the unique needs and priorities of each organization. Cloud computing offers scalability, flexibility, and cost savings, but it requires careful consideration of issues related to data security and potential vendor lock-in, to name a few. On-premises infrastructures provide more data control, customization options, and lower latency, but come with higher upfront costs and limited accessibility. The hybrid cloud approach can be an ideal solution for organizations seeking a balance between cost efficiency and data control. Ultimately, organizations should assess their specific requirements, compliance needs, budget, and long-term goals to determine the most suitable infrastructure model for their organization.

What is the cloud?The cloud refers to the delivery of computing services over the internet, allowing businesses to access and utilize resources such as storage, servers, databases, and software applications on-demand, without the need for physical infrastructure.

What does on-premises mean?On-premises refers to hosting all hardware, servers, and applications within an organizations own premises or data center, managed and maintained by its own IT staff.

What are the main benefits of the cloud?The cloud offers several benefits, including scalability, cost savings, flexibility and accessibility, automatic updates, and streamlined disaster recovery options.

What are the benefits of on-premises infrastructure?On-premises infrastructure offers complete control over data, lower latency due to the localization of IT resources, and more customization options.

Which is more cost-effective, the cloud or on-premises IT infrastructure?The cost-effectiveness of the cloud versus on-premises infrastructure depends on various factors such as the size of the organization and workload demands, to name a few. The cloud offers cost savings in terms of upfront capital expenditure and ongoing maintenance, as organizations only pay for resources used. However, on-premises involves higher upfront costs but may result in greater long-term savings once the infrastructure is established.

Is the cloud less secure than on-premises?Cloud providers implement robust security measures to protect data, including data encryption, access controls, and threat detection systems. However, organizations must also ensure proper configuration and adopt additional security measures to meet specific compliance requirements and protect their applications, data, and user access.

Which option is better for compliance and regulatory requirements?Both cloud and on-premises infrastructures can be designed to meet compliance and regulatory requirements. Leading cloud service providers typically provide compliance certifications and attestations, whereas on-premises allows organizations to maintain full control over compliance by implementing customized security controls and monitoring processes.

Can I have a mix of cloud and on-premises infrastructure?Yes, organizations can adopt a hybrid cloud approach that combines elements of both cloud and on-premises infrastructure. The hybrid cloud model allows organizations to leverage the scalability and flexibility of the cloud while maintaining sensitive data or critical applications on-premises.

What are some typical use cases for the cloud and on-premises infrastructure?Cloud computing is suitable for startups and small businesses, organizations with fluctuating workloads, and collaboration and remote work environments. On-premises infrastructures may be more ideal for organizations that are operating in highly regulated industries, heavily reliant on legacy systems, or handling highly sensitive data.

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Cloud vs. On-Premises: Pros, Cons, and Use Cases - Datamation

NEEDHAM, Mass., June 05, 2023--(BUSINESS WIRE)--The roles and activities performed by IT professionals have evolved dramatically over the past ten years due to the convergence of modern development technologies, cloud platforms, and as-a-service offerings that can significantly improve overall productivity. Today, many of these professionals find themselves in hybrid roles that combine traditional development activities with activities that formerly were associated with operations professionals who historically had few or no development-oriented responsibilities. A new International Data Corporation (IDC) report provides an extended census and forecast with detail for both traditional IT operations roles and these new hybrid roles.

"The census data shows that a dramatic, once-in-a-generation shift in the composition of the IT workforce is underway. This shift is akin to what took place during the years from 1997 to 2002 when the emergence of the commercial internet and the .com era turned priorities upside down for much of corporate IT and led to the hiring of vast numbers of web developers and networking experts," said Al Gillen, group vice president, Software Development and Open Source, IDC. "The increased adoption of cloud computing is driving similar transitions today in IT teams supporting this modern deployment model."

In developing this data set, IDC used the following definitions to describe the roles broken out in the study:

DataOps uses a combination of technologies and methods with a focus on quality for consistent and continuous delivery of data value, combining integrated and process-oriented perspectives on data with automation and methods analogous to agile software engineering.

DevOps uses collaborative, agile approaches paired with extensive automation development pipelines, testing, infrastructure configuration, provisioning, security controls, and life-cycle continuous integration (CI) for continuous development and continuous delivery (CD).

DevSecOps uses a methodology that asserts that security needs to be prioritized at the beginning of the DevOps delivery pipeline. It enables DevOps teams, collaborating with security, to act as key stakeholders in defining and implementing security policies.

ITOps uses technology and methods to provide routine, scheduled tasks and unscheduled support activities related to IT systems. ITOps professionals may spend as much as 50% of their time engaged with business users in support, the elicitation of requirements, and performing contingent or secondary business tasks.

MLOps uses technology and processes to streamline and automate the entire machine learning (ML) life cycle. The key capabilities include managing and automating ML data and pipelines, ML code, and ML models from data ingestion to model deployment, tracking, and monitoring. MLOps uses similar principles to DevOps practices, applied to machine learning processes.

Platform engineering is a discipline of designing and building toolchains and workflows that enable self-service capabilities focused on managing and optimizing the software delivery process to deploy applications and services to cloud platforms.

Site reliability engineering (SRE) includes software engineers who build scripts to automate IT operations tasks such as maintenance and support. To enable efficiency and reliability, SRE teams fix operational bugs and remove manual work in rote tasks.

Systems administrators configure, maintain, and support computer systems and systems of systems using a variety of tools and methods appropriate to the system or systems of systems in use. They may spend as much as 50% of their time engaged with business users in defining key requirements, business goals, and adaptations needed to maintain fit for use and fit for purpose.

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At a macro level, the study shows that a substantial shift in the responsibilities of IT professionals will occur over the next five years. The data indicates that IT professionals in the most purely operational roles are facing a transition to a more technical or focused role that very often may involve some level of software development work. Accordingly, the roles of IT operations and system administrators, respectively, are projected to decline at compound annual growth rates (CAGR) of -8.2% and -7.8% over the 20222027 forecast period. By comparison, the recently emerging roles of DataOps and MLOps are projected to have CAGRs of 17.9% and 20.1% respectively, although the growth is starting from comparatively small numbers.

DevOps and DevSecOps roles are also forecast to continue growing with DevSecOps roles showing a double-digit CAGR over the forecast period. DevSecOps roles will benefit from the growing application threat landscape and the dependence that organizations have on their software capabilities to be competitive, combined with the recognition that incorporating security as early as possible in the software development life cycle reduces costs and increases quality. DevOps growth will be muted somewhat by the growth in platform engineering roles, which will absorb some of these same functions.

"This census and forecast data was developed as a companion product to IDC's developer census and forecast, rounding out our count of IT professionals involved in today's modern datacenter and overseeing cloud-based deployments," said Arnal Dayaratna, research vice president, Software Development at IDC. "This collaborative effort involved analysts covering artificial intelligence, data management, development, DevOps, DevSecOps, and IT operations and platform services, bringing many key IDC thought leaders together. This data set opens the door for IDC to produce deeper cross tabs of this data in the future."

The report, Worldwide xOps Census and Forecast, 20222027 (Doc #US50627023), introduces IDC's xOps census and forecast data for the first time. This data includes worldwide and regional views on the 2022 census and a forecast through 2027 for eight modern IT titles that include at least some operational-level responsibilities. These titles include DataOps, DevOps, DevSecOps, ITOps, MLOps, platform engineering, site reliability engineering, and systems administrator.

About IDC

International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology, IT benchmarking and sourcing, and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly owned subsidiary of International Data Group (IDG), the world's leading tech media, data, and marketing services company. To learn more about IDC, please visit http://www.idc.com. Follow IDC on Twitter at @IDC and LinkedIn. Subscribe to the IDC Blog for industry news and insights.

View source version on businesswire.com: https://www.businesswire.com/news/home/20230605005252/en/

Contacts

Michael Shirer508-935-4200press@idc.com

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Widespread Adoption of Cloud Computing and Modern ... - Yahoo Finance