Cloud Computing by Network Structure, Network Type, Usage and Application Type – Forecasts to 2022 – Research and Markets
HPC Today  |  Wire  |  January 08, 2018
Note: the wired news below has been filtered but not edited by HPC Today.

Cloud Computing by Network Structure, Network Type, Usage and Application Type – Forecasts to 2022 – Research and Markets

The “Cloud Computing by Network Structure (Centralized and Edge), Network Type (Mobile and IoT), Usage (Processing, Storage, and Analytics), and Application Type (Consumer Apps, Enterprise Automation, IIoT, and Robotics) 2017 – 2022” report has been added to Research and Markets’ offering.

From its origins, Cloud Computing has been largely relegated to Software, Platforms, and Infrastructure (SPI) as a Service. However, cloud networks and systems are rapidly evolving to support a variety of communications, applications, commerce, and content in an as a service model. For example, Cloud Computing is moving beyond the consumer and enterprise markets into support for manufacturing and industrial automation of other industry verticals. In addition, computing at the edge of networks via Multi-access Edge Computing (MEC) is anticipated to become a critically important aspect of carrier operations, supporting a variety of new and improved applications and services, many of which will be highly immersive apps such as Virtual Reality.

The Industrial Internet of Things (IIoT) represents a substantial opportunity for both the centralized cloud as a service model for software, platforms, and infrastructure as well as distributed computing often referred to as Fog Computing wherein IIoT edge computing will avail industry of real-time processing and analytics. The combination of robotics, teleoperation, and cloud technologies is poised to transform enterprise operations, industrial processes, and consumer services across many industry verticals. Both purpose-built and general purpose robotics segments will benefit greatly from cloud operations. Mass consumerization will be on the horizon by 2022 as end-users become accustomed to autonomous and remote control robots for many different personal services tasks.

This research evaluates the global cloud computing marketplace including centralized and distributed services, platforms, and infrastructure. The report also analyzes the market for cloud computing as a service across major industry verticals as well as carrier cloud services and market opportunities for cloud support of IoT networks and associated apps and services. The report includes detailed forecasts for the aforementioned from 2017 – 2022.

This research analyzes 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).

Target Audience:

Network operators
Datacenter companies
Cloud services companies
ICT infrastructure providers
IoT product and services companies
Software and application developers

Companies Mentioned:

ABB Group
Adept Technology
Akamai Technologies
Allot Communications
FANUC Corporation
Fujitsu Ltd.
Fujitsu Technology Solutions
General Electric
Hewlett Packard Enterprise
Lockheed Martin
Ortelio Ltd
Ozobot & Evollve Inc.
PeerApp Ltd.
ReconRobotics Inc.
Redhat, Inc.
Robert Bosch GmbH
Segway Inc. and Ninebot
Sony Corporation
Wolf Robotics LLC
ZTE Corporation

For more information about this report visit

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