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Market Research Report

Cloud Computing in Consumer Internet of Things (IoT), Enterprise Automation, and Industrial IoT 2017 - 2022

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Cloud Computing in Consumer Internet of Things (IoT), Enterprise Automation, and Industrial IoT 2017 - 2022
Published: October 18, 2017 Content info: 387 Pages
Description

Overview:

Cloud (software, platforms, and infrastructure), Industrial IoT (IIoT), and Mobile Edge Computing (MEC) represent three powerful technologies that are driving substantial innovation within ICT. Cloud Computing technology and the “as a service” business model is transforming Services, Platforms, and Infrastructure (SPI) for the entire ICT ecosystem (data centers, storage providers, CDN providers, broadband service providers, etc.) as well as enterprise across virtually every industry vertical.

IIoT represents a substantial opportunity for both the centralized cloud “as a service” model for software, platforms, and infrastructure as well as distributed computing often referred to as Fog Computing wherein IIoT edge computing will avail industry of real-time processing and analytics. MEC will enable many new and enhanced applications and services including improvements in Augmented Reality, Location-based Services, Enterprise-specific Context Aware Services, Real-time Data as a Service (DaaS), and more.

This research evaluates the global cloud computing marketplace including centralized and distributed services, platforms, and infrastructure. The report also analyzes the market for cloud computing “as a service” across major industry verticals as well as carrier cloud services and market opportunities for cloud support of IoT networks and associated apps and services. The report includes detailed forecasts for the aforementioned from 2017 - 2022.

This research also assesses the technologies, players, and solutions relied upon for Cloud Computing in IIoT. The report analyzes the impact of SaaS, PaaS, and IaaS upon IIoT as well as Cloud Computing software, platforms, and infrastructure in support of edge computing. The report also assesses market opportunities for Cloud Computing support of IIoT Devices and the Objects/Things that will be monitored, actuated, and controlled through IoT enabled processes. The report includes detailed forecasts for the global and regional outlook as well as by industry vertical, devices, and objects/things from 2017 to 2022.

This research also evaluates MEC technology, architecture and building blocks, ecosystem, market drivers, applications, solutions, and deployment challenges. The report also analyzes MEC industry initiatives, leading companies, and solutions. It includes a market assessment and forecast for MEC users and MEC revenue globally, regionally, and within the enterprise market for years 2017 to 2022. Forecasts include MEC infrastructure (equipment, platforms, software, APIs, and services).

Target Audience:

  • IoT companies
  • Cloud companies
  • Datacenter providers
  • Telecom service providers
  • Enterprise automation providers
  • Wireless infrastructure providers
Table of Contents

Table of Contents

Global Cloud Computing Services 2017-2022

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 2017-2022
  • 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 2017-2022
    • 4.3.2. Global Cloud Computing SaaS Revenue by Sub-segment 2017-2022
    • 4.3.3. Global Cloud Computing PaaS Revenue by Sub-segment 2017-2022
  • 4.4. Global Cloud Services Revenue 2017-2022
    • 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 2017-2022
    • 4.6.1. Global Cloud Computing Revenue in Government Sector 2017-2022
    • 4.6.2. Global Cloud Computing Revenue in Financial Sector 2017-2022
    • 4.6.3. Global Cloud Computing Revenue in Healthcare 2017-2022
    • 4.6.4. Global Cloud Computing Revenue in Retail Sector 2017-2022
    • 4.6.5. Global Cloud Computing Revenue in Manufacturing 2017-2022
    • 4.6.6. Global Cloud Computing Revenue in Automobile Sector 2017-2022
    • 4.6.7. Global Cloud Computing Revenue in Agriculture 2017-2022

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 2017-2022
    • 6.4.2. Carrier Cloud Revenue by Region 2017-2022
    • 6.4.3. Global Carrier Cloud Revenue by Industry Vertical 2017-2022
    • 6.4.4. Global Carrier Cloud Revenue by Services and Solutions 2017-2022
    • 6.4.5. Carrier Distributed Computing Market
    • 6.4.6. Global MEC Enabled Application Revenue 2017-2022

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

Figures

  • Figure 1: Cloud Computing Enterprise Applications
  • Figure 2: Cloud Computing Market Segmentation
  • Figure 3: Global Cloud Computing Revenue 2017-2022
  • Figure 4: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2017-2022
  • Figure 5: Global Cloud Services Revenue 2017-2022
  • Figure 6: Cloud Computing Revenue by Region 2017-2022
  • Figure 7: Global Cloud Computing Revenue in Government Sector 2017-2022
  • Figure 8: Global Cloud Computing Revenue in Financial Sector 2017-2022
  • Figure 9: Global Cloud Computing Revenue in Healthcare 2017-2022
  • Figure 10: Global Cloud Computing Revenue in Retail Sector 2017-2022
  • Figure 11: Global Cloud Computing Revenue in Manufacturing 2017-2022
  • Figure 12: Global Cloud Computing Revenue in Automobile Sector 2017-2022
  • Figure 13: Global Cloud Computing Revenue in Agriculture 2017-2022
  • Figure 14: Cloud Based IoT Data Processing
  • Figure 15: Distributed Cloud IoT Data Architecture
  • Figure 16: IoT Data will NOT be Simply Stored in the Cloud
  • Figure 17: Real-time IoT Data Management and Analytics
  • Figure 18: Security in IoT Data Architecture
  • Figure 19: Cloud Computing Architecture
  • Figure 20: Server Virtualization Architecture
  • Figure 21: Deployment Ratio of by Categories of SaaS Application
  • Figure 22: Difference between IaaS, PaaS, and SaaS
  • Figure 23: Cloud Services and APIs
  • Figure 24: Cloud ERP vs. On-premise ERP
  • Figure 25: SCM Cloud Structure

Tables

  • Table 1: Global Cloud Computing Revenue 2017-2022
  • Table 2: Revenue by Cloud Computing Deployment Type
  • Table 3: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2017-2022
  • Table 4: Global Cloud Computing IaaS by Sub-segment 2017-2022
  • Table 5: Global Cloud Computing SaaS Revenue by Sub-segment 2017-2022
  • Table 6: Global Cloud Computing PaaS Revenue by Sub-segment 2017-2022
  • Table 7: Global Cloud Services Revenue 2017-2022
  • Table 8: Global Revenues for Cloud Services by sub-segments 2022
  • Table 9: Cloud Computing Revenue by Region 2017-2022
  • Table 10: Global Cloud Computing Revenue by Industry Vertical 2017-2022
  • Table 11: Global Cloud Computing Revenue in Government Sector 2017-2022
  • Table 12: Global Cloud Computing Revenue in Financial Sector 2017-2022
  • Table 13: Global Cloud Computing Revenue in Healthcare 2017-2022
  • Table 14: Global Cloud Computing Revenue in Retail Sector 2017-2022
  • Table 15: Global Cloud Computing Revenue in Manufacturing 2017-2022
  • Table 16: Global Cloud Computing Revenue in Automobile Sector 2017-2022
  • Table 17: Global Cloud Computing Revenue in Agriculture 2017-2022
  • Table 18: Global Carrier Cloud Revenue 2017-2022
  • Table 19: Carrier Cloud Revenue by Region 2017-2022
  • Table 20: Global Carrier Cloud Revenue by Industry Vertical 2017-2022
  • Table 21: Global Carrier Cloud Revenue by Services and Solutions 2017-2022
  • Table 22: Global Revenues for Centralized Carrier Cloud Services 2017-2022
  • Table 23: Global MEC Revenue by Application 2017-2022

Multi-access Edge Computing 2017-2022

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 2017-2022

  • 7.1. Global Market 2017-2022
    • 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 2017-2022
    • 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 2017-2022
    • 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 2017-2022

  • 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
    • 9.3.1. Real-time Data Analytics Revenue in Retail
      • 9.3.1.1. Real-time Data Analytics Revenue by Retail Segment
      • 9.3.1.2. Real-time Data Analytics Retail Revenue by App, Software, and Service
    • 9.3.2. Real-time Data Analytics Revenue in Telecom and IT
      • 9.3.2.1. Real-time Data Analytics Revenue by Telecom and IT Segment
      • 9.3.2.2. Real-time Data Analytics Revenue by Telecom and IT App, Software, and Service
    • 9.3.3. Real-time Data Analytics Revenue in Energy and Utility
      • 9.3.3.1. Real-time Data Analytics Revenue by Energy and Utility Segment
      • 9.3.3.2. Real-time Data Analytics Energy and Utilities Revenue by App, Software, and Service
    • 9.3.4. Real-time Data Analytics Revenue in Government
      • 9.3.4.1. Real-time Data Analytics Revenue by Government Segment
      • 9.3.4.2. Real-time Data Analytics Government Revenue by App, Software, and Service
    • 9.3.5. Real-time Data Analytics Revenue in Healthcare and Life Science
      • 9.3.5.1. Real-time Data Analytics Revenue by Healthcare Segment
    • 9.3.6. Real-time Data Analytics Revenue in Manufacturing
      • 9.3.6.1. Real-time Data Analytics Revenue by Manufacturing Segment
      • 9.3.6.2. Real-time Data Analytics Manufacturing Revenue by App, Software, and Service
    • 9.3.7. Real-time Data Analytics Revenue in Transportation and Logistics
      • 9.3.7.1. Real-time Data Analytics Revenue by Transportation and Logistics Segment
      • 9.3.7.2. Real-time Data Analytics Transportation and Logistics Revenue by App, Software, and Service
    • 9.3.8. Real-time Data Analytics Revenue in Banking and Finance
      • 9.3.8.1. Real-time Data Analytics Revenue by Banking and Finance Segment
      • 9.3.8.2. Real-time Data Analytics Revenue by Banking and Finance App, Software, and Service
    • 9.3.9. Real-time Data Analytics Revenue in Smart Cities
      • 9.3.9.1. Real-time Data Analytics Revenue by Smart City Segment
      • 9.3.9.2. Real-time Data Analytics Revenue by Smart City App, Software, and Service
    • 9.3.10. Real-time Data Analytics Revenue in Automotive
      • 9.3.10.1. Real-time Data Analytics Revenue by Automobile Industry Segment
      • 9.3.10.2. Real-time Data Analytics Revenue by Automotive Industry App, Software, and Service
    • 9.3.11. Real-time Data Analytics Revenue in Education
      • 9.3.11.1. Real-time Data Analytics Revenue by Education Industry Segment
      • 9.3.11.2. Real-time Data Analytics Revenue by Education Industry App, Software, and Service
    • 9.3.12. Real-time Data Analytics Revenue in Outsourcing Services
      • 9.3.12.1. Real-time Data Analytics Revenue by Outsourcing Segment
      • 9.3.12.2. Real-time Data Analytics Revenue by Outsourcing Industry App, Software, and Service
  • 9.4. Real-time Data Analytics Revenue by Leading Vendor Platform
    • 9.4.1. Global Investment in Data by Industry Sector 2017-2022

Figures

  • Figure 1: MEC Value Chain for Edge Cloud Computing
  • Figure 2: Extreme Outdoor Server
  • Figure 3: Cloudlet based PacketCloud Framework
  • Figure 4: MEC and C-RAN Architecture
  • Figure 5: Mobile Edge Computing Network
  • Figure 6: MEC Network and Application Clients
  • Figure 6: ETSI MEC ISG Members
  • Figure 7: MEC enables Many Cloud-based Apps
  • Figure 8: Combined MEC Market Size 2017-2022
  • Figure 9: MEC Network Migration Ratio
  • Figure 10: MEC Enterprise Adoption Ratio
  • Figure 12: Global MEC Network Users 2017-2022
  • Figure 13: Global Real-time Data Analytics 2017-2022
  • Figure 14: Investment in Data by Industry Vertical 2017-2022

Tables

  • Table 1: MEC Market Size by Market Segment 2017-2022
  • Table 2: MEC Cloud Server Market by Category 2017-2022
  • Table 3: MEC Equipment Market by Category 2017-2022
  • Table 4: MEC Platform Market by Category 2017-2022
  • Table 5: MEC Software and API Market in Vertical Segment 2017-2022
  • Table 6: MEC Service Market by Type 2017-2022
  • Table 7: MEC Optimization CAPEX and OPEX Spend by Enterprise
  • Table 8: MEC Market by Region 2017-2022
  • Table 9: North America MEC Market by Segment 2017-2022
  • Table 10: North America MEC Cloud Server Market by Category 2017-2022
  • Table 11: North America MEC Equipment Market by Category 2017-2022
  • Table 12: North America MEC Platform Market by Category 2017-2022
  • Table 13: North America MEC Software and API Market in Vertical Segment 2017-2022
  • Table 14: North America MEC Service Market by Type 2017-2022
  • Table 15: North America MEC Market by Country 2017-2022
  • Table 16: APAC MEC Market by Market Segment 2017-2022
  • Table 17: APAC MEC Cloud Server Market by Category 2017-2022
  • Table 18: APAC MEC Equipment Market by Category 2017-2022
  • Table 19: APAC MEC Platform Market by Category 2017-2022
  • Table 20: APAC MEC Software and API Market in Vertical Segment 2017-2022
  • Table 21: APAC MEC Service Market by Type 2017-2022
  • Table 22: APAC MEC Market by Country 2017-2022
  • Table 23: Europe MEC Market by Market Segment 2017-2022
  • Table 24: Europe MEC Cloud Server Market by Category 2017-2022
  • Table 25: Europe MEC Equipment Market by Category 2017-2022
  • Table 26: Europe MEC Platform Market by Category 2017-2022
  • Table 27: Europe MEC Software and API Market in Vertical Segment 2017-2022
  • Table 28: Europe MEC Service Market by Type 2017-2022
  • Table 29: Europe MEC Market by Country 2017-2022
  • Table 30: MEC User by Supporting Network 2017-2022
  • Table 31: MEC Network User by Region 2017-2022
  • Table 32: North America MEC User by Supporting Network 2017-2022
  • Table 33: APAC MEC User by Supporting Network 2017-2022
  • Table 34: Europe MEC User by Supporting Network 2017-2022
  • Table 35: Global Real-time Data Analytics Revenue by App, Software, and Service 2017-2022
  • Table 36: Global Real-time Data Analytics Revenue in Industry Vertical 2017-2022
  • Table 37: Retail Real-time Data Analytics Revenue by Retail Segment 2017-2022
  • Table 38: Retail Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 39: Telecom and IT Real-time Data Analytics Rev by Segment 2017-2022
  • Table 40: Telecom and IT Real-time Data Analytics Rev by App, Software, and Services 2017-2022
  • Table 41: Energy and Utilities Real-time Data Analytics Rev by Segment 2017-2022
  • Table 42: Energy and Utilities Real-time Data Analytics Rev by App, Software, and Services 2017-2022
  • Table 43: Government Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 44: Government Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 45: Healthcare and Life Science Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 46: Healthcare and Life Science Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 47: Manufacturing Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 48: Manufacturing Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 49: Transportation and Logistics Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 50: Transportation and Logistics Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 51: Banking and Finance Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 52: Banking and Finance Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 53: Smart Cities Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 54: Smart Cities Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 55: Automotive Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 56: Automotive Real-time Data Analytics Revenue by Apps, Software, and Services 2017-2022
  • Table 57: Education Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 58: Education Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 59: Outsourcing Service Real-time Data Analytics Revenue by Segment 2017-2022
  • Table 60: Outsourcing Service Real-time Data Analytics Revenue by App, Software, and Services 2017-2022
  • Table 61: Real-time Data Analytics Revenue by Leading Vendor Platforms 2017-2022
  • Table 62: Investment in Data by Industry Vertical 2017-2022

Cloud Computing in Industrial IoT 2017-2022

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 2017-2022
    • 3.1.2. Market by Service Segment 2017-2022
      • 3.1.2.1. Infrastructure Market 2017-2022
      • 3.1.2.2. Software Market 2017-2022
      • 3.1.2.3. Platform Solution Market 2017-2022
    • 3.1.3. Market by Cloud Type 2017-2022
      • 3.1.3.1. Private Cloud Computing Market by Deployment 2017-2022
      • 3.1.3.2. Public Cloud Computing Market by Deployment 2017-2022
      • 3.1.3.3. Hybrid Cloud Computing Market by Deployment 2017-2022
    • 3.1.4. Market by Industry Vertical 2017-2022
      • 3.1.4.1. Manufacturing Market by Sub-sector 2017-2022
      • 3.1.4.2. Utilities Market by Sub-sector 2017-2022
  • 3.2. Cloud Computing in IIoT Regional Market Forecasts
    • 3.2.1. Market by Region 2017-2022
      • 3.2.1.1. North America Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2017-2022
      • 3.2.1.2. Europe Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2017-2022
      • 3.2.1.3. APAC Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2017-2022
      • 3.2.1.4. RoW Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2017-2022
    • 3.2.2. Top Ten Markets

4. IIoT Cloud Connected Devices/Things Forecasts

  • 4.1. Connected Device Forecasts 2017-2022
    • 4.1.1. Total Cloud Connected Devices 2017-2022
    • 4.1.2. Cloud Connected Devices by Type 2017-2022
    • 4.1.3. Cloud Connected Devices by Industry Vertical 2017-2022
    • 4.1.4. Cloud Connected Devices by Region 2017-2022
      • 4.1.4.1. North America Cloud Connected Devices by Country 2017-2022
      • 4.1.4.2. Europe Cloud Connected Devices by Country 2017-2022
      • 4.1.4.3. APAC Cloud Connected Devices by Country 2017-2022
      • 4.1.4.4. RoW Cloud Connected Devices by Country 2017-2022
  • 4.2. Connected Things/ Objects Forecasts
    • 4.2.1. Total Cloud Connected Things/Objects 2017-2022
    • 4.2.2. Cloud Connected Things/Objects by Industry Vertical 2017-2022
    • 4.2.3. Cloud Connected Things/Objects by Region 2017-2022
      • 4.2.3.1. North America Cloud Connected Things/Objects by Country 2017-2022
      • 4.2.3.2. Europe Cloud Connected Things/Objects by Country 2017-2022
      • 4.2.3.3. APAC Cloud Connected Things/Objects by Country 2017-2022
      • 4.2.3.4. RoW Cloud Connected Things/Objects by Country 2017-2022

5. Company Analysis

  • 5.1. Amazon Web Services
    • 5.1.1. Company Overview
    • 5.1.2. Product and Solutions
  • 5.2. Cumulocity GmBH
    • 5.2.1. Company Overview
    • 5.2.2. Product and Solutions
  • 5.3. CISCO Systems Inc.
    • 5.3.1. Company Overview
    • 5.3.2. Product and Solutions
  • 5.4. SAP SE
    • 5.4.1. Company Overview
    • 5.4.2. Product and Solutions
  • 5.5. Amplía Soluciones SL
    • 5.5.1. Company Overview
    • 5.5.2. Product and Solutions
  • 5.6. General Electric
    • 5.6.1. Company Overview
    • 5.6.2. Product and Solutions
  • 5.7. AT&T Inc.
    • 5.7.1. Company Overview
    • 5.7.2. Product and Solutions
  • 5.8. Losant IoT Inc.
    • 5.8.1. Company Overview
    • 5.8.2. Product and Solutions
  • 5.9. Thethings.io
    • 5.9.1. Company Overview
    • 5.9.2. Product and Solutions
  • 5.10. XMPro
    • 5.10.1. Company Overview
    • 5.10.2. Product and Solutions
  • 5.11. Siemens AG
    • 5.11.1. Company Overview
    • 5.11.2. Products and Services
  • 5.12. Robert Bosch GmbH
    • 5.12.1. Company Overview
    • 5.12.2. Products and Solutions
  • 5.13. IBM Corporation
    • 5.13.1. Company Overview
    • 5.13.2. Products and Solutions
  • 5.14. Microsoft Corporation
    • 5.14.1. Company Overview
    • 5.14.2. Products and Solutions
  • 5.15. C3IoT
    • 5.15.1. Company Overview
    • 5.15.2. Products and Solutions
  • 5.16. Meshify
    • 5.16.1. Company Overview
    • 5.16.2. Products and Solutions
  • 5.17. Sierra Wireless Inc.
    • 5.17.1. Company Overview
    • 5.17.2. Products and Solutions
  • 5.18. Carriots
    • 5.18.1. Company Overview
    • 5.18.2. Products and Solutions
  • 5.19. Intel Corporation
    • 5.19.1. Company Overview
    • 5.19.2. Products and Solutions
  • 5.20. PTC
    • 5.20.1. Company Overview
    • 5.20.2. Products and Solutions
  • 5.21. Uptake Technologies Inc.
    • 5.21.1. Company Overview
    • 5.21.2. Products and Solutions
  • 5.22. TempolQ
    • 5.22.1. Company Overview
    • 5.22.2. Products and Solutions
  • 5.23. Honeywell International
    • 5.23.1. Company Overview
    • 5.23.2. Products and Solutions
  • 5.24. Enterox Systems
    • 5.24.1. Company Overview
    • 5.24.2. Products and Solutions
  • 5.25. Aware360 Ltd.
    • 5.25.1. Company Overview
    • 5.25.2. Products and Solutions
  • 5.26. XILINX Inc.
    • 5.26.1. Company Overview
    • 5.26.2. Products and Solutions
  • 5.27. Echelon Corporation
    • 5.27.1. Company Overview
    • 5.27.2. Products and Solutions
  • 5.28. Real Time Innovation
    • 5.28.1. Company Overview
    • 5.28.2. Products and Solutions
  • 5.29. Fujitsu Ltd.
    • 5.29.1. Company Overview
    • 5.29.2. Products and Solutions
  • 5.30. Reali Technologies Ltd
    • 5.30.1. Company Overview
    • 5.30.2. Products and Solutions

6. Conclusions and Recommendations

Figures

  • Figure 1: Cloud Computing Features
  • Figure 2: Cloud Computing Functions
  • Figure 3: Cloud Computing Infrastructure
  • Figure 4: IIoT Platform Components
  • Figure 5: IIoT Cloud Computing Architecture
  • Figure 6: Fog Computing Architecture
  • Figure 7: IIoT Cloud Computing Benefits
  • Figure 8: Global IIoT Cloud Computing Market 2017-2022
  • Figure 9: Global IIoT Cloud Connected Device 2017-2022
  • Figure 10: Global Cloud Connected IIoT Things/Objects 2017-2022
  • Figure 11: SAP HANA IoT Cloud Architecture
  • Figure 12: Bosch IoT Suite Framework
  • Figure 13: Intel IoT Platform Framework
  • Figure 14: Enterox IoT Cloud Framework
  • Figure 15: Fujitsu Connected Enterprise Solution
  • Figure 16: RealiteQ Technology Framework

Tables

  • Table 1: Global IIoT Cloud Computing Market by Service Segment 2017-2022
  • Table 2: Global IIoT Cloud Computing Infrastructure Market by Type 2017-2022
  • Table 3: Global IIoT Cloud Computing Software Market by Type 2017-2022
  • Table 4: Global IIoT Cloud Computing Market by Traffic Management Software Type 2017-2022
  • Table 5: Global IIoT Cloud Computing Platform Market by Solution Type 2017-2022
  • Table 6: Global IIoT Cloud Computing Platform Market by Cloud Type 2017-2022
  • Table 7: Global IIoT Private Cloud Computing Market by Deployment Type 2017-2022
  • Table 8: Global IIoT Public Cloud Computing Market by Deployment Type 2017-2022
  • Table 9: Global IIoT Hybrid Cloud Computing Market by Deployment Type 2017-2022
  • Table 10: Global IIoT Cloud Computing Market by Industry Vertical 2017-2022
  • Table 11: Global IIoT Cloud Computing Manufacturing Market by Vertical Sector 2017-2022
  • Table 12: Global IIoT Cloud Computing Utilities Market by Vertical Sector 2017-2022
  • Table 13: IIoT Cloud Computing Market by Region 2017-2022
  • Table 14: North America IIoT Cloud Computing Market by Service Segment 2017-2022
  • Table 15: North America IIoT Cloud Computing Infrastructure Market by Type 2017-2022
  • Table 16: North America IIoT Cloud Computing Software Market by Type 2017-2022
  • Table 17: North America IIoT Cloud Computing Market by Traffic Management Software Type 2017-2022
  • Table 18: North America IIoT Cloud Computing Platform Market by Solution Type 2017-2022
  • Table 19: North America IIoT Cloud Computing Platform Market by Cloud Type 2017-2022
  • Table 20: North America IIoT Private Cloud Computing Market by Deployment Type 2017-2022
  • Table 21: North America IIoT Public Cloud Computing Market by Deployment Type 2017-2022
  • Table 22: North America IIoT Hybrid Cloud Computing Market by Deployment Type 2017-2022
  • Table 23: North America IIoT Cloud Computing Market by Industry Vertical 2017-2022
  • Table 24: North America IIoT Cloud Computing Manufacturing Market by Vertical Sector 2017-2022
  • Table 25: North America IIoT Cloud Computing Utilities Market by Vertical Sector 2017-2022
  • Table 26: North America IIoT Cloud Computing Market by Country 2017-2022
  • Table 27: Europe IIoT Cloud Computing Market by Service Segment 2017-2022
  • Table 28: Europe IIoT Cloud Computing Infrastructure Market by Type 2017-2022
  • Table 29: Europe IIoT Cloud Computing Software Market by Type 2017-2022
  • Table 30: Europe IIoT Cloud Computing Market by Traffic Management Software Type 2017-2022
  • Table 31: Europe IIoT Cloud Computing Platform Market by Solution Type 2017-2022
  • Table 32: Europe IIoT Cloud Computing Platform Market by Cloud Type 2017-2022
  • Table 33: Europe IIoT Private Cloud Computing Market by Deployment Type 2017-2022
  • Table 34: Europe IIoT Public Cloud Computing Market by Deployment Type 2017-2022
  • Table 35: Europe IIoT Hybrid Cloud Computing Market by Deployment Type 2017-2022
  • Table 36: Europe IIoT Cloud Computing Market by Industry Vertical 2017-2022
  • Table 37: Europe IIoT Cloud Computing Manufacturing Market by Vertical Sector 2017-2022
  • Table 38: Europe IIoT Cloud Computing Utilities Market by Vertical Sector 2017-2022
  • Table 39: Europe IIoT Cloud Computing Market by Country 2017-2022
  • Table 40: APAC IIoT Cloud Computing Market by Service Segment 2017-2022
  • Table 41: APAC IIoT Cloud Computing Infrastructure Market by Type 2017-2022
  • Table 42: APAC IIoT Cloud Computing Software Market by Type 2017-2022
  • Table 43: APAC IIoT Cloud Computing Market by Traffic Management Software Type 2017-2022
  • Table 44: APAC IIoT Cloud Computing Platform Market by Solution Type 2017-2022
  • Table 45: APAC IIoT Cloud Computing Platform Market by Cloud Type 2017-2022
  • Table 46: APAC IIoT Private Cloud Computing Market by Deployment Type 2017-2022
  • Table 47: APAC IIoT Public Cloud Computing Market by Deployment Type 2017-2022
  • Table 48: APAC IIoT Hybrid Cloud Computing Market by Deployment Type 2017-2022
  • Table 49: APAC IIoT Cloud Computing Market by Industry Vertical 2017-2022
  • Table 50: APAC IIoT Cloud Computing Manufacturing Market by Vertical Sector 2017-2022
  • Table 51: APAC IIoT Cloud Computing Utilities Market by Vertical Sector 2017-2022
  • Table 52: APAC IIoT Cloud Computing Market by Country 2017-2022
  • Table 53: RoW IIoT Cloud Computing Market by Service Segment 2017-2022
  • Table 54: RoW IIoT Cloud Computing Infrastructure Market by Type 2017-2022
  • Table 55: RoW IIoT Cloud Computing Software Market by Type 2017-202
  • Table 56: RoW IIoT Cloud Computing Market by Traffic Management Software Type 2017-2022
  • Table 57: RoW IIoT Cloud Computing Platform Market by Solution Type 2017-2022
  • Table 58: RoW IIoT Cloud Computing Platform Market by Cloud Type 2017-2022
  • Table 59: RoW IIoT Private Cloud Computing Market by Deployment Type 2017-2022
  • Table 60: RoW IIoT Public Cloud Computing Market by Deployment Type 2017-2022
  • Table 61: RoW IIoT Hybrid Cloud Computing Market by Deployment Type 2017-2022
  • Table 62: RoW IIoT Cloud Computing Market by Industry Vertical 2017-2022
  • Table 63: RoW IIoT Cloud Computing Manufacturing Market by Vertical Sector 2017-2022
  • Table 64: RoW IIoT Cloud Computing Utilities Market by Vertical Sector 2017-2022
  • Table 65: RoW IIoT Cloud Computing Market by Region 2017-2022
  • Table 66: RoW IIoT Cloud Computing Market by Country 2017-2022
  • Table 67: Top Ten IIoT Cloud Computing Market 2017-2022
  • Table 68: Global IIoT Cloud Connected Devices by Type 2017-2022
  • Table 69: Global IIoT Cloud Connected Device by Industry Vertical 2017-2022
  • Table 70: IIoT Cloud Connected Device by Region 2017-2022
  • Table 71: North America IIoT Cloud Connected Device by Country 2017-2022
  • Table 72: Europe IIoT Cloud Connected Device by Country 2017-2022
  • Table 73: APAC IIoT Cloud Connected Device by Country 2017-2022
  • Table 74: RoW IIoT Cloud Connected Device by Country 2017-2022
  • Table 75: Global IIoT Cloud Connected Things/Objects by Industry Vertical 2017-2022
  • Table 76: IIoT Cloud Connected Things/Objects by Region 2017-2022
  • Table 77: North America IIoT Cloud Connected Things/Objects by Country 2017-2022
  • Table 78: Europe IIoT Cloud Connected Things/Objects by Country 2017-2022
  • Table 79: APAC IIoT Cloud Connected Things/Objects by Country 2017-2022
  • Table 80: RoW IIoT Cloud Connected Things/Objects by Country 2017-2022
  • Table 81: Intel NAMD System
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