Cloud Computing in Industrial IoT: Cloud-based IIoT Software, Platforms, and Edge Computing Infrastructure 2018 - 2023
DUBLIN, July 17, 2018 /PRNewswire/ --
The "Cloud Computing in Industrial IoT: Cloud-based IIoT Software, Platforms, and Edge Computing Infrastructure 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.
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 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. The research includes detailed forecasts for 2018 to 2023.
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
Key Topics Covered:
Cloud Computing in Industrial IoT 2018 - 2023
1 Overview
1.1 Cloud Computing
1.2 Cloud Computing Structure
1.3 Traditional Industrial IoT Challenges
1.4 Cloud Computing in Industrial IoT
1.5 Consumer vs. Industrial Cloud Platforms
1.6 Evolution of Fog Computing
1.7 IIoT Cloud Computing Benefits
1.8 Industrial Internet and IIoT
2 IIoT Cloud Computing Ecosystem
2.1 IIoT Cloud Computing Services
2.1.1 Infrastructure as a Service
2.1.2 Platform as a Service
2.1.3 Software as a Service
2.2 Cloud Computing Deployment
2.3 IIoT Cloud Computing Applications
2.4 Cloud Manufacturing
2.5 Software Defined IIoT and Industry 4.0
2.6 Smart Connected Enterprise and Workplace
2.7 Cloud Technology in Robotics
2.8 Artificial Intelligence and IIoT Solutions
2.9 IIoT Cloud Computing Challenges
2.10 IIoT Cloud Computing Pricing Models
3 Industrial IoT Cloud Computing Market
3.1 Cloud Computing in IIoT Global Market Forecasts
3.1.1 Combined Cloud IIoT Market 2018 - 2023
3.1.2 Market by Service Segment 2018 - 2023
3.1.2.1 Infrastructure Market 2018 - 2023
3.1.2.2 Software Market 2018 - 2023
3.1.2.3 Platform Solution Market 2018 - 2023
3.1.3 Market by Cloud Type 2018 - 2023
3.1.3.1 Private Cloud Computing Market by Deployment 2018 - 2023
3.1.3.2 Public Cloud Computing Market by Deployment 2018 - 2023
3.1.3.3 Hybrid Cloud Computing Market by Deployment 2018 - 2023
3.1.4 Market by Industry Vertical 2018 - 2023
3.1.4.1 Manufacturing Market by Sub-sector 2018 - 2023
3.1.4.2 Utilities Market by Sub-sector 2018 - 2023
3.2 Cloud Computing in IIoT Regional Market Forecasts
3.2.1 Market by Region 2018 - 2023
3.2.2 Top Ten Markets
4 IIoT Cloud Connected Devices/Things Forecasts
4.1 Connected Device Forecasts 2018 - 2023
4.1.1 Total Cloud Connected Devices 2018 - 2023
4.1.2 Cloud Connected Devices by Type 2018 - 2023
4.1.3 Cloud Connected Devices by Industry Vertical 2018 - 2023
4.1.4 Cloud Connected Devices by Region 2018 - 2023
4.1.4.1 North America Cloud Connected Devices by Country 2018 - 2023
4.1.4.2 Europe Cloud Connected Devices by Country 2018 - 2023
4.1.4.3 APAC Cloud Connected Devices by Country 2018 - 2023
4.1.4.4 RoW Cloud Connected Devices by Country 2018 - 2023
4.2 Connected Things/ Objects Forecasts
4.2.1 Total Cloud Connected Things/Objects 2018 - 2023
4.2.2 Cloud Connected Things/Objects by Industry Vertical 2018 - 2023
4.2.3 Cloud Connected Things/Objects by Region 2018 - 2023
5 Company Analysis
5.1 Amazon Web Services
5.2 Cumulocity GmBH
5.3 CISCO Systems Inc.
5.4 SAP SE
5.5 Ampla Soluciones SL
5.6 General Electric
5.7 AT&T Inc.
5.8 Losant IoT Inc.
5.9 Thethings.io
5.10 XMPro
5.11 Siemens AG
5.12 Robert Bosch GmbH
5.13 IBM Corporation
5.14 Microsoft Corporation
5.15 C3IoT
5.16 Meshify
5.17 Sierra Wireless Inc.
5.18 Carriots
5.19 Intel Corporation
5.20 PTC
5.21 Uptake Technologies Inc.
5.22 TempolQ
5.23 Honeywell International
5.24 Enterox Systems
5.25 Aware360 Ltd.
5.26 XILINX Inc.
5.27 Echelon Corporation
5.28 Real Time Innovation
5.29 Fujitsu Ltd.
5.30 Reali Technologies Ltd
6 Conclusions and Recommendations
Cloud Computing Services, Platforms, Infrastructure and Everything as a Service 2018 - 2023
1 Executive Summary
2 Introduction
2.1 Overview
2.2 Study Scope
2.3 Target Audience
2.4 Key Companies Report
2.5 Global Cloud Computing Market Outlook
3 Cloud Computing Technology and Markets
3.1 Business Value Proposition
3.2 Cloud Computing Ecosystem
3.3 Telecom in Cloud Computing
3.4 Cloud Computing Market Segmentation
3.5 Cloud Computing Market Growth Drivers
4 Global Cloud Computing Market Outlook
4.1 Global Cloud Computing Revenue 2018 - 2023
4.2 Revenue by Cloud Computing Deployment Type
4.3 Global Cloud Revenue by Software, Platform, and Infrastructure
4.3.1 Global Cloud Computing IaaS Revenue by Sub-segment 2018 - 2023
4.3.2 Global Cloud Computing SaaS Revenue by Sub-segment 2018 - 2023
4.3.3 Global Cloud Computing PaaS Revenue by Sub-segment 2018 - 2023
4.4 Global Cloud Services Revenue 2018 - 2023
4.4.1 Cloud Based Business Process as a Service
4.4.2 Cloud Data Migration Services
4.4.3 Cloud Based Advertising
4.4.4 Cloud Based Payments
4.4.5 Cloud Based Data as a Service
4.4.6 Cloud Based Communication as a Service
4.5 Regional Cloud Computing Market Outlook
4.5.1 North American Cloud Computing Market
4.5.2 Western European Cloud Computing Market
4.5.3 China Cloud Computing Market
4.6 Global Cloud Computing Revenue by Industry Vertical 2018 - 2023
4.6.1 Global Cloud Computing Revenue in Government Sector 2018 - 2023
4.6.2 Global Cloud Computing Revenue in Financial Sector 2018 - 2023
4.6.3 Global Cloud Computing Revenue in Healthcare 2018 - 2023
4.6.4 Global Cloud Computing Revenue in Retail Sector 2018 - 2023
4.6.5 Global Cloud Computing Revenue in Manufacturing 2018 - 2023
4.6.6 Global Cloud Computing Revenue in Automobile Sector 2018 - 2023
4.6.7 Global Cloud Computing Revenue in Agriculture 2018 - 2023
5 Cloud Services in IoT
5.1 IoT Overview
5.1.1 IoT will Drive Massive Data Storage and Processing Needs
5.1.2 Processing Cloud IoT Data
5.1.3 Dealing with Centralized Storage and Decentralized Processing
5.1.4 Data Security and Personal Information Privacy are the Biggest Hurdles
5.1.5 Enhanced Tools needed for Machine Generated Data in IoT
5.1.6 Cloud Data Management for IoT Devices
5.2 Leading Vendors in IoT Cloud Computing
5.3 Cloud Computing in IoT Market Outlook
6 Carrier Cloud Services
6.1 Overview
6.2 Carrier Clouds
6.3 Mobile Edge Computing
6.3.1 MEC Benefits to Carriers
6.3.2 Commercialization of MEC
6.4 Carrier Cloud Market Outlook
6.4.1 Global Carrier Cloud Revenue 2018 - 2023
6.4.2 Carrier Cloud Revenue by Region 2018 - 2023
6.4.3 Global Carrier Cloud Revenue by Industry Vertical 2018 - 2023
6.4.4 Global Carrier Cloud Revenue by Services and Solutions 2018 - 2023
6.4.5 Carrier Distributed Computing Market
6.4.6 Global MEC Enabled Application Revenue 2018 - 2023
7 Important Cloud Computing Industry Developments
7.1 Recent Cloud Computing Mergers and Acquisitions
7.2 Recent Cloud Computing Investments
8 Appendix: Fundamentals of Cloud Computing
8.1 Cloud Computing Deployment Model Categories
8.2 Cloud Technologies and Architecture
8.3 Cloud Computing and Virtualization
8.4 Moving Beyond Cloud Computing
8.5 Rise of the Cloud-Based Networked Enterprise
8.6 General Cloud Service Enablers
8.6.1 Wireless Broadband Connectivity
8.6.2 Security Solutions
8.6.3 Presence and Location
8.7 Personal Cloud Service Enablers
8.7.1 Identity Management
8.7.2 Preference Management
8.8 Cloud Computing Services
8.8.1 Infrastructure as a Service (IaaS)
8.8.2 Platform as a Service (PaaS)
8.8.3 Software as a Service (SaaS)
8.8.3.1 Differences between IaaS, SaaS, and PaaS
8.9 Emerging Models: XaaS (Everything as a Service)
8.9.1 Business Process as a Service (BPaaS)
8.9.2 Communication as a Service (CaaS)
8.9.3 Monitoring as a Service (MaaS)
8.9.4 Network-as-a-service (NaaS)
8.9.5 Storage as a Service (SaaS)
8.10 APIs and Database
8.11 The Need for Federated Database Model
8.12 Enterprise Resource Planning (ERP) in the Cloud
8.13 Supply Chain Management in the Cloud
8.14 Emerging Cloud Based Applications
8.14.1 B2B Applications
8.14.2 B2C Applications
8.14.3 Entertainment in the Cloud: TV, Video, Gaming and More
8.15 Cloud Myths and Realities
9 Appendix: MEC Technology and Solutions
9.1 MEC Characteristics
9.1.1 Processing at the Edge
9.1.2 Low Latency Network
9.1.3 Context Based Service
9.1.4 Location Service and Analytics
9.2 Benefits of MEC
9.2.1 MEC Business Benefits
9.2.2 Technical Benefits
9.2.3 Communication Service Provider Specific Benefits
9.3 MEC Architecture and Platforms
9.3.1 MEC Platform Architecture and Building Blocks
9.3.1.1 MEC Infrastructure
9.3.1.2 MEC Application Platform
9.3.1.3 MEC Management Framework
9.3.2 MEC Value Chain for Edge Cloud
9.4 MEC Technology and Building Blocks
9.4.1 Radio Network Information Service
9.4.2 Traffic Offload Function
9.4.3 Interface
9.4.4 Configuration Management
9.4.5 Application Lifecycle Management
9.4.6 Hardware Virtualization and Infrastructure Management System
9.4.7 Core Network Elements
Multi-access Edge Computing (MEC): Market Outlook and Forecasts 2018 - 2023
1 Executive Summary
2 Introduction
2.1 Understanding Multi-access Edge Computing
2.1.1 Edge Computing in an ICT Context
2.1.2 Proximity Computing: The Edge in Physical and Logical Context
2.1.3 Edge Computing vs. Other Computational Approaches
2.1.4 Multi-access Edge Computing
2.2 Important Characteristics of MEC
2.2.1 Processing at the Edge
2.2.2 Low Latency
2.2.3 Context Based
2.2.4 Location and Analytics
2.3 MEC Benefits
2.3.1 Business Benefits
2.3.2 Technical Benefits
2.3.3 Mobile Network Operator Benefits
2.3.4 Key Element of Carrier Heterogeneous Network Strategy
3 MEC Technology, Platforms, and Architecture
3.1 MEC Platform Architecture Building Blocks
3.1.1 MEC Infrastructure
3.1.2 MEC Application Platforms
3.1.3 MEC Management Framework
3.2 The Edge Cloud Computing Value Chain
3.3 MEC Technology Building Blocks
3.3.1 Radio Network Information Service
3.3.2 Traffic Offload Function
3.3.3 MEC Interfaces
3.3.4 Configuration Management
3.3.5 Application Lifecycle Management
3.3.6 VM Operations and Management
3.3.7 Hardware Virtualization and Infrastructure Management
3.3.8 Core Network Elements
3.3.9 Open Standards
3.4 MEC Technology Enablers
3.4.1 Mobile Computing to Mobile Cloud Computing
3.4.2 Cloudlet based Mobile Cloud Computing
3.4.3 Cloudlet to Cloud
3.4.4 PacketCloud Open Platform for Cloudlets
3.4.5 Enterprise Cloud Architecture
3.4.6 Cloudlet Solutions
3.4.7 Cloudlet Storage Frameworks
3.5 MEC Deployment Considerations
3.5.1 MEC Implementation Challenges
3.5.2 MEC Operational Challenges
4 MEC Market Drivers and Opportunities
4.1 Limitations of Cloud Convergence
4.2 IT and Telecom Network Convergence
4.3 Base Station Evolution
4.4 Cell Aggregation
4.5 Virtualization in the Cloud
4.6 Continually Improving Server Capacity
4.7 Data Center to Network Interactions
4.8 Open and Flexible App and Service Ecosystem
4.9 Fifth Generation (5G) Wireless
4.10 Edge Cloud and Data Transferability
4.11 Proximate Cloud Computing
4.12 Increasingly Faster Content Delivery
4.13 Advantages of MEC Small Cell Deployment
4.14 Overall Mobile Data Demand
4.15 Low Latency Applications
4.16 Integration of MEC with Cloud RAN
4.17 MEC Enhances Real-time Data and Analytics
4.17.1 Why Data at the Edge?
4.17.2 Convergence of Distributed Cloud and Big Data
5 MEC Ecosystem
5.1 The Overall Edge Computing Ecosystem
5.2 MEC Ecosystem Players
5.2.1 ETSI MEC ISG
5.2.2 Software and ASPs
5.2.3 OTT Service and Content Providers
5.2.4 Network Infrastructure and Equipment Providers
5.2.5 Mobile Network Operators
5.3 Individual Company Analysis
5.3.1 ADLINK Technology Inc.
5.3.2 Advantech
5.3.3 Akamai Technologies
5.3.4 Allot Communications
5.3.5 Advanced Micro Devices
5.3.6 Brocade Communications Systems
5.3.7 Cavium Networks
5.3.8 Ceragon Networks
5.3.9 Cisco Systems
5.3.10 Fujitsu Technology Solutions
5.3.11 Hewlett Packard Enterprise
5.3.12 Huawei Technologies Co. Ltd
5.3.13 IBM Corporation
5.3.14 Integrated Device Technology
5.3.15 Intel Corporation
5.3.16 InterDigital Inc.
5.3.17 Juniper Networks
5.3.18 NEC Corporation
5.3.19 Nokia Corporation
5.3.20 PeerApp Ltd.
5.3.21 Quortus
5.3.22 Redhat, Inc.
5.3.23 Saguna Networks
5.3.24 Samsung Electronics Co., Ltd
5.3.25 Sony Corporation
5.3.26 SpiderCloud Wireless
5.3.27 Vasona Networks
5.3.28 Xilinx, Inc.
5.3.29 Yaana Ltd.
5.3.30 ZTE Corporation
6 MEC Application and Service Strategies
6.1 Optimizing the Mobile Cloud
6.1.1 Mobile Network Operator Strategies
6.1.2 Service Strategies and End-user Demand
6.2 Context Aware Services
6.2.1 Commerce
6.2.2 Education
6.2.3 Gaming
6.2.4 Healthcare
6.2.5 Location-based Services
6.2.6 Public Safety
6.2.7 Connected Vehicles
6.2.8 Wearables
6.1 Data Services and Analytics
6.1.1 Localized Real-time Data Becomes King
6.1.2 Anonymizing Local and Real-time Data for Third-party Usage
6.1.3 Increasing Demand for Data as a Service (DaaS) in MEC Environment
7 MEC Market Forecasts 2018 - 2023
7.1 Global Market 2018 - 2023
7.1.1 Combined MEC Market
7.1.2 MEC Market by Segment
7.1.2.1 MEC Cloud Server Market
7.1.2.2 MEC Equipment Market
7.1.2.3 MEC Platform Market
7.1.2.4 MEC Software and API Market
7.1.2.5 MEC Service Market
7.1.3 MEC Enterprise CAPEX and OPEX Spend
7.1.4 MEC Network Migration
7.1.5 MEC Enterprise Adoption
7.2 MEC Regional Market 2018 - 2023
7.2.1 North America Market Forecast
7.2.2 APAC Market Forecasts
7.2.3 Europe Market Forecast
7.3 MEC Network Users/Devices 2018 - 2023
7.3.1 Global MEC Network Users/Devices
7.3.2 MEC Network User by Supporting Network
7.3.3 Regional MEC Network User
7.3.3.1 North America User
7.3.3.2 APAC User
7.3.3.3 Europe User
8 Conclusions and Recommendations
8.1 Anticipated Market Needs and Opportunities
8.1.1 The need for MEC Integration with Public Cloud Platforms
8.1.2 Enterprise (Dedicated and Shared Resources) MEC Integration
8.1.3 Dedicated MEC Public Safety and Homeland Security Infrastructure
8.2 Insights into Future Market Dynamics
8.2.1 MEC will Facilitate Downward Price Pressure on Non-real-time Data
8.2.2 MEC will Drive Demand for Virtual Network Operators
8.2.3 MEC will Drive the Need for New Players as well as M&A
9 Appendix: Real-time Data Analytics Revenue 2018 - 2023
9.1 Global Streaming Data Analytics Revenue
9.2 Global Real-time Data Analytics Revenue by App, Software, and Services
9.3 Global Real-time Data Analytics Revenue in Industry Verticals
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