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Cloud Computing in Industrial IoT: Cloud-based IIoT Software, Platforms, and Edge Computing Infrastructure 2018 - 2023

Cloud Computing in Industrial IoT: Cloud-based IIoT Software, Platforms, and Edge Computing Infrastructure 2018 - 2023

  • June 2018
  • 309 pages
  • ID: 5443734
  • Format: PDF
  • By Mind Commerce Publishing

Summary

Table of Contents

Overview:
Enterprise and industrial focused businesses have many telecom and IT related decisions to make about ICT infrastructure and services. Two of the most important areas are cloud computing and Internet of Things (IoT). Mobile Edge Computing (MEC) in particular is anticipated to become a major complement to enterprise computing infrastructure. While both computing and IIoT require considerable planning and often considerable investment, the payoff is quite substantial for companies that make the right decisions about integrating new technologies with existing systems and processes.

The initial return on investment continues to be largely cost reduction, but new and enhanced products and services, as well as improved customer intimacy are clearly the longer term benefits. This latest Mind Commerce research into the convergence of IoT and Cloud infrastructure has unveiled significant opportunities for enterprise to leverage emerging solutions involving edge computing. In fact, we see industrial IoT (IIoT) solutions involving streaming data and real-time analytics as a key value-added function for many industry verticals including healthcare, manufacturing, and transportation.

Manufacturing, industrial automation, and robotics are key sectors that will benefit substantially from MEC. For example, prior to edge computing implementation, teleoperation and tele-robotics are largely relegated to fixed communications connections. MEC will enable teleoperation anywhere there is advanced LTE or 5G coverage, enabling many new consumer and industrial automation scenarios involving robotics.

This research evaluates the technologies and solutions involved in cloud computing for IIoT systems. It provides a comprehensive assessment of cloud infrastructure and deployment types including detailed analysis of edge computing. This research analyzes emerging Mobile Edge Computing (MEC) systems and solutions, which is anticipated to be an integral part of IIoT systems as a whole, as well as the cornerstone for capturing streaming data and performing real-time data analytics. Integration of cloud-based infrastructure and service models with IIoT is evaluated.

This research includes detailed forecasts for 2018 to 2023. All direct purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.

Target Audience:
• Data analytics providers
• Wireless service providers
• ICT managed service providers
• Software, App, and Content Providers
• Wireless/mobile infrastructure providers
• Cloud and IoT product and service providers
Companies Covered:
• ADLINK Technology Inc.
• Advanced Micro Devices
• Advantech
• Akamai Technologies
• Allot Communications
• Amazon Web Services
• Amplía Soluciones SL
• AT&T Inc.
• Aware360 Ltd.
• Brocade Communications Systems
• C3IoT
• Carriots
• Cavium Networks
• Ceragon Networks
• Cisco Systems
• CISCO Systems Inc.
• Cumulocity GmBH
• Echelon Corporation
• Enterox Systems
• Fujitsu Ltd.
• Fujitsu Technology Solutions
• General Electric
• Hewlett Packard Enterprise
• Honeywell International
• Huawei Technologies Co. Ltd
• IBM Corporation
• Integrated Device Technology
• Intel Corporation
• InterDigital Inc.
• Juniper Networks
• Losant IoT Inc.
• Meshify
• Microsoft Corporation
• NEC Corporation
• Nokia Corporation
• PeerApp Ltd.
• PTC
• Quortus
• Real Time Innovation
• Reali Technologies Ltd
• Redhat, Inc.
• Robert Bosch GmbH
• Saguna Networks
• Samsung Electronics Co., Ltd
• SAP SE
• Siemens AG
• Sierra Wireless Inc.
• Sony Corporation
• SpiderCloud Wireless
• TempolQ
• Thethings.io
• Uptake Technologies Inc.
• Vasona Networks
• XILINX Inc.
• XMPro

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