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Global Industrial Automation Market 2018-2023: Focus on 5G, Edge Computing, Robotics, and Industrial Internet of Things (IIoT) - ResearchAndMarkets.com

November 26, 2018

DUBLIN--(BUSINESS WIRE)--Nov 26, 2018--The “Industrial Automation Market: 5G, Edge Computing, Robotics, and Industrial Internet of Things (IIoT) 2018 - 2023” report has been added to ResearchAndMarkets.com’s offering.

Industrial Internet of Things (IIoT) solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, IIoT will significantly improve reliability, production, and customer satisfaction. While IIoT will initially improve existing processes and augmented current infrastructure, the ultimate goal will be to realize entirely new and dramatically improved products and services.

Emerging areas for industrial robotics include Robotics as a Service, Cloud Robotics, and General Purpose Robotics. The fifth generation (5G) of wireless technology will provide the communications and bandwidth necessary to allow various industries to leverage the next phase of robotics evolution. Industrial users will capitalize upon new and enhanced 5G enabled robotics capabilities to enable new use cases and improved work flow.

Many business processes will change as enterprise becomes more savvy about the flexibility of robotics uninhibited by bandwidth constraints.

Cloud Robotics is distinguished from the general field of electromechanical automation through its use of Teleoperation as well as reliance upon various Cloud Computing technologies such as computing and storage as well as the emerging cloud-based business models enabling Robotics as a Service. In addition, Cloud Robotics will benefit greatly from Edge Computing technologies, such as Mobile Edge Computing, as well as commercial introduction of 5G.

One of the important advantages of the Cloud Robotics market is the ability to make robotics and industrial automation equipment available to a much wider spectrum of users. One of the ways in which this is accomplished is via open APIs, which enable abstraction of the robotics control plane from the application user interface. This means that customers do not need to use proprietary user interfaces for robotic controllers.

An essential component of 5G networks in support of industrial automation, Mobile Edge Computing (MEC) facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most. Without MEC, 5G would continue to rely upon back-haul to centralized cloud resource for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G.

This research evaluates the telecom and IT ecosystem in support of MEC including communications and computing infrastructure providers, managed services vendors, carriers and OTT providers. Our MEC analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs. It also provides quantitative analysis of the Mobile Edge Computing market including segmentation by industry vertical, region of the world, application and services.

This research is critical to identifying opportunities for R&D, technology integration, and development of new solutions and applications across industry segments. Our findings, insights, data and forecasts are also a key part of capitalizing upon the market for new and enhanced hardware, software, platforms, and services for emerging IoT networks and systems.

This research also evaluates enabling technologies and the market outlook for 5G Network slicing. It provides analysis of the market opportunities including Configuration Management, Performance Management, Service Level Agreements, and more. It also includes 5G Network Slicing by specific use cases such as Smart Manufacturing, which includes Remote Monitoring, Supply Chain Management, Asset Management, Real-Time Monitoring, and Network Monitoring.

In addition, it provides an assessment of major segments such as 5G Network Slicing in consumer, enterprise, and industrial IoT. It provides global forecasts for each area covered as well as regional estimates for 5G Network Slicing by Segment, RF Band, Application, and Industry Vertical through 2023.

This research also evaluates the Cloud Robotics market including technologies, companies, strategies, use cases, and solutions. The report provides global and regional forecasts for Cloud Robotics apps, services, and components from 2018 to 2023. Forecasts include the market outlook for Cloud Services support of Cloud Robotics including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Robotics as a Service (RaaS).

Forecasting for Cloud Robotics by deployment model is also included covering Public Cloud, Private Cloud, Hybrid Cloud, and Community Cloud. It includes detailed forecasts for robotics by robot type, components, capabilities, solutions, and connectivity for 2018 to 2023.

Select Research Findings:

Global Cloud Robotics Market will reach $16.1 billion USD by 2023 Certain industries will become early beneficiaries of 5G enabled robotics 5G Network Slicing support of Smart Manufacturing will reach $425.3 billion by 2023 The 5G enabled autonomous robot market is expected to reach $14.6 billion by 2023 North America will lead the 5G enabled autonomous robot market with 41% revenue share

Research Benefits:

Forecasts for 5G IoT, Network Slicing, Edge Computing, Robotics, and IIoT to 2023 Understand the role of network slicing and edge computing in industrial automation Identify key investment areas for Robotics as a Service and Cloud Robotics Platforms Understand the relationship between Teleoperation, Robotics, and Cloud Computing

For more information about this report visit https://www.researchandmarkets.com/research/bxh3pp/global_industrial?w=4

View source version on businesswire.com:https://www.businesswire.com/news/home/20181126005527/en/

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Related Topics:Computing,4G and 5G,Robotics,Internet of Things and M2M,Industrial Automation

KEYWORD:

INDUSTRY KEYWORD: TECHNOLOGY NETWORKS OTHER TECHNOLOGY MOBILE/WIRELESS MANUFACTURING ENGINEERING

SOURCE: Research and Markets

Copyright Business Wire 2018.

PUB: 11/26/2018 10:52 AM/DISC: 11/26/2018 10:52 AM

http://www.businesswire.com/news/home/20181126005527/en

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