Global 5G and Cloud Computing Market In Depth Analysis, Size, Trends and Forecast 2022 by Technologies, Solutions, Applications & Services in IoT

Fri Nov 17, 2017 - 9:45am GMT+0000

OrbisResearch.com has published new research report on “Global 5G and Cloud Computing Market Research Report and Forecast to 2017-2022” to its database.

Dallas, United States – November 17, 2017

The combination of fifth generation (5G) cellular and cloud technologies will provide substantial capacity, flexibility, and functionality richness to mobile network operator Internet of Things (IoT) service offerings. 5G and cloud services (centralized and edge computing) will allow carriers to compete against non-cellular IoT network providers in a manner in which they cannot replicate.

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Higher bandwidth services, coupled with roaming and multi-access connectivity will afford cellular Communication Service Providers (CSP) with a major advantage as 5G begins commercial deployment and Mobile Edge Computing (MEC) deployments accelerate. 5G IoT services supported by MEC will also enable CSPs to significantly surpass the capabilities of non-cellular providers, particularly Low Power WAN (LPWAN) technologies recently deployed. For example, CSPs will be able to offer mission-critical IoT services that non-cellular IoT networks will not be able to replicate.

This IoT research assesses 5G technologies and solutions in support of IoT. This IoT research also analyzes the impact of 5G in IoT across infrastructure components including hardware, processors, embedded devices, software, and cloud-based service platforms. This research also assesses the prospects for 5G IoT across all major industry verticals. The report includes detailed forecasts covering the aforementioned areas for the period 2020 to 2025.

This IoT research also evaluates IoT edge computing via Multi-access Edge Computing (MEC) technology, architecture and building blocks, ecosystem, market drivers, applications, solutions, and deployment challenges. The report also analyzes MEC industry initiatives, leading companies, and solutions. The report includes a market assessment and forecast for MEC users and MEC revenue globally, regionally, and within the enterprise market for years 2017 to 2022. Forecasts include MEC infrastructure (equipment, platforms, software, APIs, and services).

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This IoT research also evaluates the technologies, players, and solutions relied upon for Cloud Computing in IIoT. The report analyzes the impact of SaaS, PaaS, and IaaS upon IIoT as well as Cloud Computing software, platforms, and infrastructure in support of edge computing. The report also assesses market opportunities for Cloud Computing support of IIoT Devices and the Objects/Things that will be monitored, actuated, and controlled through IoT enabled processes. The report includes detailed forecasts for the global and regional outlook as well as by industry vertical, devices, and objects/things from 2017 to 2022.

Target Audience:
Robotics companies
Cloud SPI companies
Industrial services providers
Broadband wireless suppliers
Systems integration companies
IoT equipment and service providers
Mobile network operators and VNOs
Managed communication service providers
Enterprise verticals offering mission critical services

Major Points From The Table Of Contents:

5G Technology and Solutions for IoT: Ecosystem Analysis, Market Outlook, and Forecasts 2020 – 2025:
Introduction
5G IoT Ecosystem Analysis
5G IoT Market Analysis and Forecasts
5G IoT Device and Things Market Analysis and Forecasts
Company Analysis
Conclusions and Recommendations

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Multi-access Edge Computing (MEC): Market Outlook and Forecasts 2017 – 2022:
Executive Summary
Introduction
MEC Technology, Platforms, and Architecture
MEC Market Drivers and Opportunities
MEC Ecosystem
MEC Application and Service Strategies
MEC Market Forecasts 2017 – 2022
Conclusions and Recommendations

Cloud Computing in Industrial IoT 2017 – 2022:
Overview
IIoT Cloud Computing Ecosystem
Industrial IoT Cloud Computing Market
IIoT Cloud Connected Devices/Things Forecasts
Company Analysis
Conclusions and Recommendations

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