Home Tech The impact of SaaS, PaaS and IaaS on IIoT, as well as cloud computing software, platforms and infrastructures to support Edge Computing

The impact of SaaS, PaaS and IaaS on IIoT, as well as cloud computing software, platforms and infrastructures to support Edge Computing

by news dir

Dublin, 6 October 2020 (GLOBE NEWSWIRE) – The “Cloud Computing in Industrial IoT: Market for Cloud support of IIoT by Software, Platforms, Infrastructure (SaaS, PaaS, and IaaS) including Centralized Cloud Edge Computing for Devices and Objects The 2020 report – 2025 “was added to ResearchAndMarkets.com’s offer.

This research evaluates the technologies, players, and solutions behind cloud computing in the IIoT.

The report analyzes the impact of SaaS, PaaS and IaaS on the IIoT, as well as on cloud computing software, platforms and infrastructures supporting edge computing. The report also evaluates the market opportunities for cloud computing support of IIoT devices and objects that will be monitored, activated and controlled through IoT-enabled processes.

The report includes detailed forecasts for global and regional outlook as well as by vertical sector, devices and objects / things from 2020 to 2025.

Cloud computing is moving beyond consumer and enterprise markets to support manufacturing and industrial automation of other verticals. The Industrial Internet of Things (IIoT) represents a substantial opportunity both for the centralized cloud as a service model for software, platforms and infrastructures, and for distributed computing where IIoT edge computing will allow the ICT sector to exploit real-time processing and analysis.

Recipients:

  • Robotics company
  • SPI Cloud Company
  • Manufacturing companies
  • Systems integration company
  • Industrial automation company
  • IIoT and industrial service providers
  • Cloud infrastructure and services company

Key topics covered:

1 Executive summary

2 Overview
2.1 Cloud Computing
2.2 Structure of cloud computing
2.3 Challenges of traditional industrial IoT
2.4 Cloud Computing in the industrial IoT
2.5 Consumer and industrial cloud platforms
2.6 Evolution of Fog Computing
2.7 Benefits of IIoT Cloud Computing
2.8 Industrial Internet and IIoT

3 IIoT cloud computing ecosystem
3.1 IIoT Cloud Computing Services
3.1.1 Infrastructure as a Service
3.1.2 Platform as a Service
3.1.3 Software as a Service
3.2 Deploying Cloud Computing
3.3 IIoT cloud computing applications
3.4 Cloud Manufacturing
3.5 IIoT Software Defined and Industry 4.0
3.6 Business and workplace connected in an intelligent way
3.7 Cloud technology in robotics
3.8 Artificial intelligence and IIoT solutions
3.9 Challenges of IIoT Cloud Computing
3.10 Pricing Models for IIoT Cloud Computing

4 Cloud Computing in IIoT market dynamics
4.1 Driver
4.1.1 Increased use of cloud computing platforms
4.1.2 Government-friendly policies towards innovative initiatives and efforts
4.1.3 Optimization of operational efficiency and automation
4.2 Challenges
4.2.1 High initial cost
4.2.2 Data security and privacy violations

5 Case Study: Cloud Computing in the IIoT market
5.1 Kemppi IoT Use Cases
5.2 Smarter systems to increase customer productivity Case study
5.3 Caterpillar’s NextGen Human-Machine Interface (HMI) software platform
5.4 Building smarter heating and cooling systems with the cloud
5.5 Prototyping of the future Automotive Cloud
5.6 Oil and Gas Production Smart Case Study
5.7 Microsoft Azure case study adapted from Rockwell
5.8 Cloud-first digital transformation
5.9 Eastman Cloud Migration Case Study
5.10 Data analysis improves the utilization of transport equipment

6 Industrial IoT cloud computing market
6.1 Global Market Forecasts
6.1.1 Cloud IIoT Combined Market 2020-2025
6.1.2 Market by service segment 2020-2025
6.1.3 Infrastructure market 2020-2025
6.1.4 Software market 2020-2025
6.1.5 Platform Solutions Market 2020-2025
6.1.6 Market by Cloud Type 2020-2025
6.1.7 Private Cloud Computing Market for 2020-2025 Implementation
6.1.8 Public Cloud Computing Market for 2020-2025 Implementation
6.1.9 Hybrid Cloud Computing Market for Distribution 2020-2025
6.1.10 Market by vertical sector 2020-2025
6.1.11 Manufacturing market by subsector 2020-2025
6.1.12 Public utility services market by subsector 2020-2025
6.2 Regional market forecasts

7 Forecasts of things / devices connected to the IIoT cloud
7.1 Connected devices predictions 2020-2025
7.1.1 Total Cloud Connected Devices 2020-2025
7.1.2 Cloud connected devices by type 2020-2025
7.1.3 Cloud Connected Devices by Vertical Industry 2020-2025
7.1.4 Cloud-connected devices by region 2020-2025
7.2 Forecasts of related objects / things
7.2.1 Total 2020-2025 Cloud Connected Things / Objects
7.2.2 Cloud Connected Things / Objects by Vertical Industry 2020-2025
7.2.3 Cloud-connected things / objects by region 2020-2025

8 Business analysis
8.1 Amazon Web Services (AWS) Inc.
8.1.1 Company overview
8.1.2 Products and solutions
8.1.3 Recent Developments
8.2 Cumulocity GmBH
8.3 CISCO Systems Inc.
8.4 SAP SE
8.5 Ampla Soluciones SL
8.6 General Electric (GE)
8.7 AT&T Inc.
8.8 Losant IoT Inc.
8.9 Thethings.io
8.10 XMPro
8.11 Siemens AG
8.12 Robert Bosch GmbH
8.13 IBM Corporation
8.14 Microsoft Corporation
8.15 C3IoT
8.16 Meshify
8.17 Sierra Wireless Inc.
8.18 Carriots
8.19 Intel Corporation
8.20 PTC
8.21 Uptake Technologies Inc.
8.22 TempolQ
8.23 Honeywell International
8.24 Enterox Systems
8.25 Aware360 Ltd.
8.26 XILINX Inc.
8.27 Echelon Corporation
8.28 Real-Time Innovation (RTI)
8.29 Fujitsu Ltd.
8.30 Reali Technologies Ltd

9 Conclusions and recommendations

For more information on this report, please visit https://www.researchandmarkets.com/r/6ecf02

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