Daily Archives: March 29, 2022

5G sits at the intersection of several hybrid trends

Hybrid is an interesting word. It pops a lot these days, whether were talking about fuel-efficient vehicles, designer pets, work trends, or enterprise data. The hybrid cloud is central to burgeoning opportunities and challenges for Communication Service Providers (CSPs) and hyperscalers alike. And the hybrid work model is another area where 5G plays a central role.

Hybrid cloud demands are a result of increasingly enterprise need to more dynamically manage cloud workloads between different environments. Sometimes data needs to stay on-premise or in a nearby data center or colocation facility for security, or regulatory compliance. Sometimes data has to be in a public cloud, or on a managed cloud service.

The borders around enterprise data are increasingly porous. And as more business move data and operations to the cloud, this challenge will continue. Data will be on premise, in the public cloud, siloed away in a private cloud, or behind other layers of software-defined and physical network security.

Managing the flow of that data securely and effectively has created an emergent challenge to enterprise IT departments that will compound as these borders disappear. Hybrid cloud deployment strategies are increasingly common, and a broadening array of hybrid cloud solutions now answer that incipient business requirement.

Hybrid cloud deployments create operational challenges for operators. Orchestrating seamless handoff of data and services while still maintaining consistent quality is a daunting challenge without the appropriate frameworks in place.

Telcos have to provide services wherever they need to run, Craig Wilson, IBMs vice president of Global Telecom Industry, toldRCR Wireless. On the shop floor, at the edge or in public clouds.

Dish is usingIBMs automation and orchestration solutionsfor its greenfield 5G network, for example.

Parallel to the emergence of the hybrid cloud as a dominant model for enterprises moving to the cloud is the rise of hybrid work. Its a shift in labor dynamics accelerated by the COVID-19 pandemic.

Pandemic life has forced employers and workers alike to re-examine their relationships and make some essential changes. Hybrid work has emerged as the model with the equilibrium that employers and labor are seeking: Some workers in the office part of the time. It may simply be a reaction to public health concerns: How do I keep my workers productive and business running through a long-term public health crisis?

Regardless, workers want the flexibility and appreciate the ability to work where they want, when they want. Even as enterprises that put employees safely at home during the pandemic are increasingly turning up the heat on their workers to come back to the office, theres resistance.

Polls repeatedly indicate that companies that offer hybrid work environments can better attract qualified workers. At a time when skilled labor is at a premium and employees are searching for better home/life work balance, hybrid work isnt just a perk its an increasing baseline necessity for many businesses.

At the same time, most businessesdont have a strategy for hybrid work, according to research conducted by AT&T, Dubber and Incisiv.

72% of the surveyed businesses still dont have a detailed hybrid work strategy, and there is tension between what the companies want versus what their employees want: 86% believe their employees want hybrid work, but 64% says their executives prefer work to happen on-premise.

Businesses and customers were already turning to 5G in droves for its fast performance. The unprecedented changes imposed by the COVID-19 pandemic accelerated this monumental labor shift.

Hybrid work, hybrid cloud: Managing those complexities also creates a burgeoning opportunity for hyperscalers and for network operators, according to Wilson.

Wilson sees telcos that are navigating this new landscape successfully as holistically adopting the agile principles that guide cloud computing, starting with the continuous integration/continuous deployment (CI/CD) application lifecycle. Whats working in the customers IBM works with is a skunkworks approach to innovation, he said.

That garage-style co-creation, the prove it out model, he said. Wilson said the ability to iterate quickly and pivot to changing needs is crucial for carriers. Carriers should look for business cases to test, and deploy.

Start to prove it out. Deploy it at scale. Thats the model were seeing now.

The industry is proving out that a cloud-native approach can work. It does require a set of architectural principles and a strong commitment to making an ecosystem work, he said.

The commitment to a viable ecosystem, said Wilson, will help to reduce the risk that all telcos share, especially for emerging cloud-native technologies like Open RAN and mobile edge computing (MEC).

For telcos to deliver on that aspiration, they have to capture value in the deployment of 5G services. The threat of them being disintermediated is just as great, if not greater, than it was with 4G. So much about these new technologies is about cost optimization and scale, he said.

For more about 5G and telco cloud,download this free report.

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5G, the hybrid cloud, and hybrid work - RCR Wireless News

Global Cloud Computing in Government Market from 2022 to 2028 published by MarketsandResearch.biz constituents all-inclusive market research exceeds the speed of expansion in the market for its projected period. The report offers a broad analysis of the industry on the basis of different key segments. The report helps clients to understand the structure of the market by identifying its various segments such as product type, end-user, competitive landscape, and key regions. It offers a quick overview, the report comprises the size and estimation of the worldwide Cloud Computing in Government market while within the forecast period from 2022 to 2028.

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Global Cloud Computing in Government Market 2022 Production, Revenue, Average Product Price and Industry Analysis to 2028 FortBendNow - FortBendNow

Alibaba Cloud, a global leader in cloud computing and Artificial Intelligence (AI), recently announced awards for its leading partners in India, Sri Lanka, and SEA regions.

ZNet Technologies was awarded the FY2022 Alibaba Cloud partner of the year award. ZNet Technologies is a leading cloud distributor offering IT infrastructure services, cyberprotection solutions and managed services to partners across the globe. ZNet Technologies business units include ZNetLive the distributor of cloud, IT infrastructure and cybersecurity services via its wide channel partner network, and RackNap which is a cloud service delivery and business automation platform, which helps cloud providers in automating the delivery of cloud services and helps bill the usage based on actual consumption.

ZNet is owned by RP tech India (a division of Rashi Peripherals Pvt Ltd.).

Founded in 1989, RP tech India is the fastest-growing value-added distributor of IT and mobility solutions with 50 branches and 50 service centers across India. Growing at a consistent 25% CAGR YoY, the company offers products from over 23 renowned global brands to 9000+ partners spread across 750+ towns/cities in India.

NexGen IOT Solutions received the FY2022 Alibaba Cloud Rising Star award. It is a leading technology product and solutions provider catering to information technology products and services in various verticals such as Media, Telecom, Ecommerce, Education, and Healthcare.

Tekkonnectpro IT Services was awarded the FY2022 Alibaba Cloud Market Maker. Tekpro has helped a lot of organizations in the education, entertainment, fintech, healthcare, hospitality, media, gaming and manufacturing industries to set up their new custom-developed applications on the cloud. It offers services like cloud consulting, cloud cost optimization, cloud assessment, cloud implementation or migration, and cloud-managed services.

Eguardian Lanka Pvt Ltd bagged the FY2022 Alibaba Cloud Territory Development Partner of the Year. Eguardian distributes a suite of technology products focused on networking and security solutions. Its solutions and services enable organizations to create an agile IT infrastructure that improves business agility and performance while conducting business confidently and securely.

Alibaba Cloud provides services to thousands of enterprises, developers, and governments organizations in over 200 countries and regions. It develops and delivers a comprehensive suite of highly scalable platforms for cloud computing and data management. As part of its online solutions, Alibaba Cloud provides reliable and secure cloud computing and data processing capabilities. It has most data centers and CDN nodes in the Asia Pacific region than any other cloud service provider indicating a strong presence in Asia.

Alibaba Cloud also offers comprehensive security and compliance solutions. Through its partners in India, Alibaba Cloud helps its customers increase their business footprints in APAC (Asia-Pacific) region by offering services like elastic computing, storage & CDN, networking, Middleware, cloud communication, domains & websites, security, database services, Apsara stack and many more.

Read next: Alibaba cloud to have 100% green datacenters by 2030

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Alibaba Cloud announces Partner Awards, ZNet Technologies bags Partner of the Year award - Wire19

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