Global Cloud Computing Report in Industrial IoT Market 2022-2027: Edge computing is dramatically improving the efficiency, effectiveness and ROI of Industrial IoT operations.

Dublin, January 26, 2023 /PRNewswire/ — “Cloud Computing in Industrial IoT: IIoT Cloud Enabled Market 2022-2027 of Software, Platforms, Infrastructure (SaaS, PaaS and IaaS) Including Centralized Cloud Edge Computing for Devices and Things” report added. to from ResearchAndMarkets.com offering.

We believe that cloud computing in the IIoT market $304.9 billion Combining infrastructure equipment with embedded solutions, software applications and platform solutions by 2028. The consolidated market will grow at a CAGR of 13.8% over the forecast period.

This report evaluates the technologies, players and solutions that rely on cloud computing for IIoT. This report analyzes the impact of SaaS, PaaS and IaaS on IIoT, as well as cloud computing software, platforms and infrastructure supporting edge computing.

The report also assesses market opportunities for cloud computing enablement of IIoT devices and objects to be monitored, operated and controlled through IoT enabled processes. The report contains detailed forecasts by industry sector, device and object, as well as global and regional outlooks from 2022 to 2027.

Cloud computing is moving beyond the consumer and enterprise markets to support manufacturing and industrial automation in other industries. The Industrial Internet of Things (IIoT) presents significant opportunities for both centralized cloud “as a service” models for software, platforms and infrastructure, and distributed computing where the ICT industry can leverage real-time processing through IIoT edge computing. and analysis.

IIoT cloud computing services include all types of cloud services offered through the Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) models. IaaS forms the foundation of an IoT system that includes provisioning processing, storage, network, and basic computing functions.

IaaS deploys other services like PaaS, SaaS, etc. Customers do not control IaaS, but have unrestricted access to servers, storage, and virtual data centers deployed in the cloud. PaaS enables cloud services to run, develop, and test applications on devices with limited engineers’ control over the infrastructure. SaaS provides solutions through a managed service provider management model, allowing users to control applications through a web browser.

IIoT solutions address streaming data and real-time analytics as key value-added capabilities in multiple industries including healthcare, manufacturing and transportation.

Select reporting results:

• Representing 37% of the global market North America will reach $93.8 billion by 2027
• Infrastructure as a Service (IaaS) will arrive. $124.3 billion through private networks worldwide by 2027.
• smart robot $2.13 billion Opportunity by 2027 due to factory automation
• Connected things mainly in the industrial and enterprise sectors $24.1 billion by 2027

Main topics covered:

1 summary

2 Overview
2.1 Cloud Computing
2.2 Cloud Computing Architecture
2.3 Traditional Industrial IoT Challenges
2.4 Cloud Computing in Industrial IoT
2.5 Consumer versus industrial cloud platforms
2.6 Evolution of Fog Computing
2.7 IIoT Cloud Computing Advantages
2.8 Industrial Internet and IIoT

3 IIoT Cloud Computing Ecosystem
3.1 IIoT cloud computing service
3.1.1 Infrastructure as a Service
3.1.2 Platform as a Service
3.1.3 Software as a Service
3.2 Cloud computing deployment
3.3 IIoT Cloud Computing Applications
3.4 Cloud Manufacturing
3.5 Software-Defined IIoT and Industry 4.0
3.6 Smart Connected Enterprises and Workplaces
3.7 Cloud Technology in Robotics
3.8 Artificial Intelligence and IIoT Solutions
3.9 IIoT cloud computing challenges
3.10 IIoT Cloud Computing Pricing Model

4 Cloud Computing in IIoT Market Dynamics
4.1 driver
4.1.1 Increasing use of cloud computing platforms
4.1.2 Government policies, initiatives and innovative efforts
4.1.3 Operational Efficiency and Automation Optimization
4.2 Assignments
4.2.1 High initial cost
4.2.2 Data Security and Privacy Breach

5 Case Study: Cloud Computing in the IIoT Market
5.1 Kemppi’s IoT Use Case
5.2 Smarter Systems Case Study for Improving Customer Productivity
5.3 Caterpillar’s NextGen Human Machine Interface (HMI) Software Platform
5.4 Making heating and cooling systems smarter with the cloud
5.5 Future Automotive Cloud Prototyping
5.6 Oil and Gas Production Smart Case Study
5.7 Rockwell Adaptive Microsoft Azure Case Study
5.8 Cloud-first digital transformation
5.9 Eastman Case Study on Cloud Migration
5.10 Data Analytics Improves Transport Equipment Utilization

6 Industrial IoT Cloud Computing Market
6.1 Global Market Forecast
6.1.1 Combined Cloud IIoT Market 2022-2027
6.1.2 Market by Service Segment, 2022-2027
6.1.3 Infrastructure Market 2022-2027
6.1.4 Software Market 2022-2027
6.1.5 Platform Solutions Market 2022-2027
6.1.6 Market by Cloud Type, 2022-2027
6.1.7 Private Cloud Computing Market by Deployment, 2022-2027
6.1.8 Public Cloud Computing Market, by Deployment, 2022-2027
6.1.9 Hybrid Cloud Computing Market by Deployment, 2022-2027
6.1.10 Market by Industry (2022-2027)
6.1.11 Manufacturing Market by Sub-Sector, 2022-2027
6.1.12 Utilities Market by Sub-Sector, 2022-2027
6.2 Regional Market Forecast 2022-2027
6.2.1 Top 10 Markets

7 IIoT Cloud Connected Devices/Things Prediction
7.1 Connected Devices Forecast 2022-2027
7.1.1 Total Cloud Connected Devices 2022 – 2027
7.1.2 Cloud Connected Devices by Type (2022-2027)
7.1.3 Cloud Connected Devices by Industry Sector, 2022-2027
7.1.4 Cloud Connected Devices by Region, 2022-2027
7.2 Connected thing/object prediction
7.2.1 All Cloud Connected Things/Objects, 2022-2027
7.2.2 Cloud Connected Things/Objects, by Industry Vertical, 2022-2027
7.2.3 Cloud Connected Things/Objects, by Region, 2022-2027

8 Company Analysis

• Amazon Web Services
• Cumulocity GmBH
• Cisco Systems
• SAP SE
• Amplia Soluciones SL
• General Electric (GE)
• AT&T
• Rosent IOT Co., Ltd.
• The Things.io
• XM Pro
• Siemens AG
• Robert Bosch GmbH
• IBM Corporation
• microsoft company
• C3IoT
• meshing
• Sierra Wireless
• carrot
• intel
• PTC
• Uptake Technologies
• TempolQ
• Honeywell International
• Enterox System
• Aware360 Ltd.
• Xilinx
• Echelon Corporation
• Real-Time Innovation (RTI)
• Fujitsu Co., Ltd.
• Realy Technologies

For more information on this report, please visit https://www.researchandmarkets.com/r/cw65yi-computing?w=5

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