Significant market opportunities for combined public and private core and edge cloud networks





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Dublin, April 13, 2022 (GLOBE NEWSWIRE) — Added “Cloud Computing Services, Platforms Infrastructure and Everything as a Service 2022 – 2027” report to ResearchAndMarkets.com’s offer.

This report evaluates the global and regional markets for cloud services, including IaaS, PaaS, and PaaS by solution type (private and public). The report provides an analysis of specific challenges and opportunities from the perspective of both the customer and the cloud service provider.

The report evaluates the overall cloud services market and specific market opportunities within the healthcare, energy, insurance, entertainment and financial services sectors. The report also evaluates emerging growth drivers for cloud services, including wearable technologies. It also includes specific recommendations for CSPs and their customers.

Cloud enables business process change as it provides key benefits including cost reduction (CapEx and OpEx), efficiency of service development and delivery, and greater flexibility to meet changing business needs. Cloud technologies and solutions are becoming increasingly important for communications service providers, enterprises, content and commerce. This is especially true because many IT departments primarily implement virtualization of network functions and “softwaritization” of applications and operational support systems through the use of software-defined network solutions.

Cloud-based technologies are evolving at a rapid pace along with the myriad of ways services can be developed, deployed and operated. Different players in the cloud ecosystem achieve varying degrees of sustainability in line with their ability to identify IT infrastructure and/or service gaps regardless of current technologies, and anticipate how methods and procedures will need to evolve to capture future opportunities. utilize.

We see IT departments getting smarter about the distinction between core cloud and edge computing used for distributed cloud computing. Mist computing represents an evolution of cloud computing that takes into account the need for some computers to be on the edge of networks. It is becoming very important for the Internet of Things (IoT). However, it will pose some serious issues related to data security and general data management. One of the key areas will be big data analytics in terms of how real-time data is managed and optimized.

Similar to fog computing, but based on a different architecture approach, Mobile Edge Computing (MEC) represents cloud computing capabilities and an IT service environment at the edge of mobile networks, such as LTE or 5G, but can also include Wi-Fi. In cellular networks, the edge of the network includes base station infrastructure and data centers close to the radio network, which can extract network context from Radio Access Network (RAN) and process it in a distributed manner.

MEC brings virtualized applications much closer to mobile users, delivering network flexibility, economy and scalability for an enhanced user experience. It facilitates a service environment that enables a seamless access experience and responsiveness for content, services and applications. It offers mobile network operators the opportunity to play a greater role in an emerging ecosystem as they can add value through optimized apps and content.

Supported by leading organizations such as ETSI ISG, IBM, Intel, Nokia Network, Huawei, NTT DoCoMo, Saguna and Vodafone, MEC will be applied in a wide range of areas including content delivery, DNS caching, RAN optimization, offloading , IoT connectivity , distributed video, critical communications and urban security. MEC is also expected to create a new ecosystem that will positively impact several vertical markets.

The most important asset of a company is undoubtedly its data. As a result, optimizing data management resources, processes and procedures is of particular importance. This includes those elements of data that are shared among the numerous applications, systems and services across the enterprise across all verticals. Only through reliable data management services can organizations truly realize the true potential of their own data and data from customers, suppliers, partners and various third parties.

From a business cloud services and infrastructure perspective, an understanding of data management technologies and solutions is critical for all components in the value chain across all verticals. ICT leaders will face many new challenges such as data management in the IoT era, advanced cloud architectures and solutions such as fog computing or MEC.

As cloud computing evolves, there is an increasing need for third-party support for cloud platforms, architectures and services. Support takes the form of various professional cloud services ranging from data management, cloud brokering, and end-to-end cloud management.

Select Report Findings:

  • Global cloud computing revenue will reach $519 billion by 2027 at a CAGR of 23.7%

  • Global IaaS storage and related computing revenue alone will reach $63.8 billion by 2025

  • The main impact of edge computing will initially be improvements in computing efficiency

  • Adoption of AI across 34% of core networks and 44% of distributed notes by application

Main topics covered:

1.0 Summary

2.0 Introduction

3.0 Cloud Computing Technology and Markets
3.1 Business value proposition
3.2 Cloud computing ecosystem
3.3 Telecommunication in cloud computing
3.4 Cloud Computing Market Segmentation
3.5 Cloud computing applications
3.6 Cloud Computing Market Growth Factors
3.7 Cloud Computing Market Challenges

4.0 Global Cloud Computing Market Outlook
4.1 Global Cloud Computing Revenue 2022 – 2027
4.2 Revenue by Cloud Computing Deployment Type
4.3 Global cloud revenues by software, platform and infrastructure
4.4 Global Cloud Services Revenue 2022 – 2027
4.5 Regional Cloud Computing Market Outlook
4.6 Global Cloud Computing Revenue by Industry Vertical 2022 – 2027

5.0 Cloud services in the Internet of Things
5.1 IoT overview
5.1.1 IoT will drive huge data storage and processing needs
5.1.2 Processing Cloud IoT data
5.1.3 Dealing with centralized storage and decentralized processing
5.1.4 Data security and privacy of personal information are the biggest hurdles
5.1.5 Improved tools needed for machine-generated data in IoT
5.1.6 Cloud data management for IoT devices
5.2 Leading Vendors in IoT Cloud Computing
5.3 Cloud Computing in IoT Market Outlook

6.0 Cloud Computing Case Studies

7.0 Carrier Cloud Services
7.1 Overview
7.2 Carrier clouds
7.3 Mobile edge computers
7.4 Carrier Cloud Market Outlook

8.0 Key developments in the cloud computing industry
8.1 Cloud Computing Mergers and Acquisitions
8.2 Cloud computing investments

9.0 Select companies in cloud computing and infrastructure
9.1 Amazon Web Services, Inc.
9.2 Microsoft
9.3 Alibaba
9.4 Google
9.5 IBM
9.6 VMware
9.7 Oracle
9.8 Rack space
9.9 Salesforce
9.10 Adobe
9.11 Verizon

10.0 Appendix: Cloud Computing Fundamentals
10.1 Categories of Cloud Computing Deployment Models
10.2 Cloud technologies and architecture
10.3 Cloud computing and virtualization
10.4 Beyond cloud computing
10.5 Emergence of the cloud-based network enterprise
10.6 Common Cloud Service Enablers
10.7 Personal Cloud Service Enablers
10.8 Cloud Computing Services
10.9 Emerging Models: Everything as a Service
10.10 APIs and Database
10.11 The need for a federated database model
10.12 Enterprise Resource Planning in the Cloud
10.13 Supply Chain Management in the Cloud
10.14 Emerging Cloud-Based Applications
10.15 Myths and realities in the cloud

11.0 Appendix: MEC Technology and Solutions
11.1 MEC Features
11.2 Benefits of MEC
11.3 MEC Architecture and Platforms
11.4 MEC technology and building blocks

For more information on this report, please visit https://www.researchandmarkets.com/r/9lgujc

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