Global Fog Computing
Global Fog Computing

Fog Computing Comprehensive Study by Application (Connected Vehicles, Smart Cities and Smart Grids, Real-Time Analytics, Connected Healthcare, Smart Manufacturing), Architectural Services (Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS)), Deployment Models (Private Fog Node, Community Fog Node, Public Fog Node, Hybrid Fog Node), Component (Hardware (Servers, Switches, Routers, Gateways, Controller), Software (Customized Application Software, Fog Computing Platform)) Players and Region - Global Market Outlook to 2024

Fog Computing Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024  

May 2019 Edition 231 Pages 218 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Scope of the Study
Fog computing is a decentralized computing network environment in which data, compute, storage and applications are located somewhere between the data source and the cloud. Similar to edge computing, fog computing brings the benefits and power of the cloud closer to where data is created and acted upon. It is another layer of a distributed network infrastructure and is closely associated with cloud computing and the internet of things (IoT). Public infrastructure as a service (IaaS) cloud providers can be thought of as a high-level, global endpoint for data; the edge of the network is where data from IoT devices is created. With the cloud computing model, the consumer can purchase the services from a provider, which delivers the service along with the maintenance and upgrades, with the plus that they can be accessed anywhere and assisting work by teams.

The market study is being classified, by Application (Connected Vehicles, Smart Cities and Smart Grids, Real-Time Analytics, Connected Healthcare and Smart Manufacturing) and major geographies with country level break-up.

Microsoft Corporation (United States), Cisco Systems, Inc. (United States), Dell Inc. (United States), ARM Holding Plc. (United Kingdom), Fujitsu (Japan), Intel Corporation (United States), PrismTech (United Kingdom), Nebbiolo Technologies (United States), IBM (United States) and Hitachi (Japan) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Cradle Point (United States) and FogHorn Systems (United States).

The leading players are focusing on strategic partnerships to improve their solution and services. Companies are focusing on increasing their client base to strengthen market position and to enhance solution & service offerings. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Fog Computing market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Fog Computing market by Type, Application and Region.

On the basis of geography, the market of Fog Computing has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America region held largest market share in the year 2018. Asia Pacific on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement. If we see Market by Architectural Services, the sub-segment i.e. Software as a Service (SaaS) will boost the Fog Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Models, the sub-segment i.e. Private Fog Node will boost the Fog Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Hardware [Servers, Switches, Routers, Gateways, Controller] will boost the Fog Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Low-Latency Network Connections between Devices and Analytics Endpoints
  • Increasing Demand for Greater Business Agility

Market Trend
  • Increasing Adoption of Internet of Things Devices

Restraints
  • Lack of Consistent Access

Opportunities
  • Innovations in Cross-Domain Applications
  • Growing Government and Private Funding For R&D in IoT, Cloud and Fog

Challenges
  • Concerns Regarding Data Security


On November 16, 2018 - Nebbiolo Technologies Inc., a developer of intelligence edge infrastructure for industrial and commercial Internet of Things (IoT) solutions, and EXOR, a leader in Human Data Interface as intelligent edge and industrial cloud solutions, come together to streamline the deployment, and accelerate time-to-value, of industrial IoT applications required by today’s smart industry sector.


Key Target Audience
Fog Computing Service Providers, IoT Devices Manufacturers, Network Service Providers, Network Solution Providers, Governmental Bodies and Research Firms

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Application
  • Connected Vehicles
  • Smart Cities and Smart Grids
  • Real-Time Analytics
  • Connected Healthcare
  • Smart Manufacturing
By Architectural Services
  • Software as a Service (SaaS)
  • Platform as a Service (PaaS)
  • Infrastructure as a Service (IaaS)

By Deployment Models
  • Private Fog Node
  • Community Fog Node
  • Public Fog Node
  • Hybrid Fog Node

By Component
  • Hardware [Servers, Switches, Routers, Gateways, Controller]
  • Software [Customized Application Software, Fog Computing Platform]

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Low-Latency Network Connections between Devices and Analytics Endpoints
      • 3.2.2. Increasing Demand for Greater Business Agility
    • 3.3. Market Challenges
      • 3.3.1. Concerns Regarding Data Security
    • 3.4. Market Trends
      • 3.4.1. Increasing Adoption of Internet of Things Devices
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Fog Computing, by Application, Architectural Services, Deployment Models, Component and Region (value and price ) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Fog Computing (Value)
      • 5.2.1. Global Fog Computing by: Application (Value)
        • 5.2.1.1. Connected Vehicles
        • 5.2.1.2. Smart Cities and Smart Grids
        • 5.2.1.3. Real-Time Analytics
        • 5.2.1.4. Connected Healthcare
        • 5.2.1.5. Smart Manufacturing
      • 5.2.2. Global Fog Computing by: Architectural Services (Value)
        • 5.2.2.1. Software as a Service (SaaS)
        • 5.2.2.2. Platform as a Service (PaaS)
        • 5.2.2.3. Infrastructure as a Service (IaaS)
      • 5.2.3. Global Fog Computing by: Deployment Models (Value)
        • 5.2.3.1. Private Fog Node
        • 5.2.3.2. Community Fog Node
        • 5.2.3.3. Public Fog Node
        • 5.2.3.4. Hybrid Fog Node
      • 5.2.4. Global Fog Computing by: Component (Value)
        • 5.2.4.1. Hardware [Servers, Switches, Routers, Gateways, Controller]
        • 5.2.4.2. Software [Customized Application Software, Fog Computing Platform]
      • 5.2.5. Global Fog Computing Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Fog Computing (Price)
  • 6. Fog Computing: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Cisco Systems, Inc. (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Dell Inc. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. ARM Holding Plc. (United Kingdom)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Fujitsu (Japan)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Intel Corporation (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. PrismTech (United Kingdom)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Nebbiolo Technologies (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. IBM (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Hitachi (Japan)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Fog Computing Sale, by Application, Architectural Services, Deployment Models, Component and Region (value and price ) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Fog Computing (Value)
      • 7.2.1. Global Fog Computing by: Application (Value)
        • 7.2.1.1. Connected Vehicles
        • 7.2.1.2. Smart Cities and Smart Grids
        • 7.2.1.3. Real-Time Analytics
        • 7.2.1.4. Connected Healthcare
        • 7.2.1.5. Smart Manufacturing
      • 7.2.2. Global Fog Computing by: Architectural Services (Value)
        • 7.2.2.1. Software as a Service (SaaS)
        • 7.2.2.2. Platform as a Service (PaaS)
        • 7.2.2.3. Infrastructure as a Service (IaaS)
      • 7.2.3. Global Fog Computing by: Deployment Models (Value)
        • 7.2.3.1. Private Fog Node
        • 7.2.3.2. Community Fog Node
        • 7.2.3.3. Public Fog Node
        • 7.2.3.4. Hybrid Fog Node
      • 7.2.4. Global Fog Computing by: Component (Value)
        • 7.2.4.1. Hardware [Servers, Switches, Routers, Gateways, Controller]
        • 7.2.4.2. Software [Customized Application Software, Fog Computing Platform]
      • 7.2.5. Global Fog Computing Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Fog Computing (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Fog Computing: by Application(USD Million)
  • Table 2. Fog Computing Connected Vehicles , by Region USD Million (2013-2018)
  • Table 3. Fog Computing Smart Cities and Smart Grids , by Region USD Million (2013-2018)
  • Table 4. Fog Computing Real-Time Analytics , by Region USD Million (2013-2018)
  • Table 5. Fog Computing Connected Healthcare , by Region USD Million (2013-2018)
  • Table 6. Fog Computing Smart Manufacturing , by Region USD Million (2013-2018)
  • Table 7. Fog Computing: by Architectural Services(USD Million)
  • Table 8. Fog Computing Software as a Service (SaaS) , by Region USD Million (2013-2018)
  • Table 9. Fog Computing Platform as a Service (PaaS) , by Region USD Million (2013-2018)
  • Table 10. Fog Computing Infrastructure as a Service (IaaS) , by Region USD Million (2013-2018)
  • Table 11. Fog Computing: by Deployment Models(USD Million)
  • Table 12. Fog Computing Private Fog Node , by Region USD Million (2013-2018)
  • Table 13. Fog Computing Community Fog Node , by Region USD Million (2013-2018)
  • Table 14. Fog Computing Public Fog Node , by Region USD Million (2013-2018)
  • Table 15. Fog Computing Hybrid Fog Node , by Region USD Million (2013-2018)
  • Table 16. Fog Computing: by Component(USD Million)
  • Table 17. Fog Computing Hardware [Servers, Switches, Routers, Gateways, Controller] , by Region USD Million (2013-2018)
  • Table 18. Fog Computing Software [Customized Application Software, Fog Computing Platform] , by Region USD Million (2013-2018)
  • Table 19. South America Fog Computing, by Country USD Million (2013-2018)
  • Table 20. South America Fog Computing, by Application USD Million (2013-2018)
  • Table 21. South America Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 22. South America Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 23. South America Fog Computing, by Component USD Million (2013-2018)
  • Table 24. Brazil Fog Computing, by Application USD Million (2013-2018)
  • Table 25. Brazil Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 26. Brazil Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 27. Brazil Fog Computing, by Component USD Million (2013-2018)
  • Table 28. Argentina Fog Computing, by Application USD Million (2013-2018)
  • Table 29. Argentina Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 30. Argentina Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 31. Argentina Fog Computing, by Component USD Million (2013-2018)
  • Table 32. Rest of South America Fog Computing, by Application USD Million (2013-2018)
  • Table 33. Rest of South America Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 34. Rest of South America Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 35. Rest of South America Fog Computing, by Component USD Million (2013-2018)
  • Table 36. Asia Pacific Fog Computing, by Country USD Million (2013-2018)
  • Table 37. Asia Pacific Fog Computing, by Application USD Million (2013-2018)
  • Table 38. Asia Pacific Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 39. Asia Pacific Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 40. Asia Pacific Fog Computing, by Component USD Million (2013-2018)
  • Table 41. China Fog Computing, by Application USD Million (2013-2018)
  • Table 42. China Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 43. China Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 44. China Fog Computing, by Component USD Million (2013-2018)
  • Table 45. Japan Fog Computing, by Application USD Million (2013-2018)
  • Table 46. Japan Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 47. Japan Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 48. Japan Fog Computing, by Component USD Million (2013-2018)
  • Table 49. India Fog Computing, by Application USD Million (2013-2018)
  • Table 50. India Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 51. India Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 52. India Fog Computing, by Component USD Million (2013-2018)
  • Table 53. South Korea Fog Computing, by Application USD Million (2013-2018)
  • Table 54. South Korea Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 55. South Korea Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 56. South Korea Fog Computing, by Component USD Million (2013-2018)
  • Table 57. Taiwan Fog Computing, by Application USD Million (2013-2018)
  • Table 58. Taiwan Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 59. Taiwan Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 60. Taiwan Fog Computing, by Component USD Million (2013-2018)
  • Table 61. Australia Fog Computing, by Application USD Million (2013-2018)
  • Table 62. Australia Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 63. Australia Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 64. Australia Fog Computing, by Component USD Million (2013-2018)
  • Table 65. Rest of Asia-Pacific Fog Computing, by Application USD Million (2013-2018)
  • Table 66. Rest of Asia-Pacific Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 67. Rest of Asia-Pacific Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 68. Rest of Asia-Pacific Fog Computing, by Component USD Million (2013-2018)
  • Table 69. Europe Fog Computing, by Country USD Million (2013-2018)
  • Table 70. Europe Fog Computing, by Application USD Million (2013-2018)
  • Table 71. Europe Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 72. Europe Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 73. Europe Fog Computing, by Component USD Million (2013-2018)
  • Table 74. Germany Fog Computing, by Application USD Million (2013-2018)
  • Table 75. Germany Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 76. Germany Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 77. Germany Fog Computing, by Component USD Million (2013-2018)
  • Table 78. France Fog Computing, by Application USD Million (2013-2018)
  • Table 79. France Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 80. France Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 81. France Fog Computing, by Component USD Million (2013-2018)
  • Table 82. Italy Fog Computing, by Application USD Million (2013-2018)
  • Table 83. Italy Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 84. Italy Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 85. Italy Fog Computing, by Component USD Million (2013-2018)
  • Table 86. United Kingdom Fog Computing, by Application USD Million (2013-2018)
  • Table 87. United Kingdom Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 88. United Kingdom Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 89. United Kingdom Fog Computing, by Component USD Million (2013-2018)
  • Table 90. Netherlands Fog Computing, by Application USD Million (2013-2018)
  • Table 91. Netherlands Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 92. Netherlands Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 93. Netherlands Fog Computing, by Component USD Million (2013-2018)
  • Table 94. Rest of Europe Fog Computing, by Application USD Million (2013-2018)
  • Table 95. Rest of Europe Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 96. Rest of Europe Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 97. Rest of Europe Fog Computing, by Component USD Million (2013-2018)
  • Table 98. MEA Fog Computing, by Country USD Million (2013-2018)
  • Table 99. MEA Fog Computing, by Application USD Million (2013-2018)
  • Table 100. MEA Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 101. MEA Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 102. MEA Fog Computing, by Component USD Million (2013-2018)
  • Table 103. Middle East Fog Computing, by Application USD Million (2013-2018)
  • Table 104. Middle East Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 105. Middle East Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 106. Middle East Fog Computing, by Component USD Million (2013-2018)
  • Table 107. Africa Fog Computing, by Application USD Million (2013-2018)
  • Table 108. Africa Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 109. Africa Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 110. Africa Fog Computing, by Component USD Million (2013-2018)
  • Table 111. North America Fog Computing, by Country USD Million (2013-2018)
  • Table 112. North America Fog Computing, by Application USD Million (2013-2018)
  • Table 113. North America Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 114. North America Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 115. North America Fog Computing, by Component USD Million (2013-2018)
  • Table 116. United States Fog Computing, by Application USD Million (2013-2018)
  • Table 117. United States Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 118. United States Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 119. United States Fog Computing, by Component USD Million (2013-2018)
  • Table 120. Canada Fog Computing, by Application USD Million (2013-2018)
  • Table 121. Canada Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 122. Canada Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 123. Canada Fog Computing, by Component USD Million (2013-2018)
  • Table 124. Mexico Fog Computing, by Application USD Million (2013-2018)
  • Table 125. Mexico Fog Computing, by Architectural Services USD Million (2013-2018)
  • Table 126. Mexico Fog Computing, by Deployment Models USD Million (2013-2018)
  • Table 127. Mexico Fog Computing, by Component USD Million (2013-2018)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Fog Computing: by Application(USD Million)
  • Table 139. Fog Computing Connected Vehicles , by Region USD Million (2019-2024)
  • Table 140. Fog Computing Smart Cities and Smart Grids , by Region USD Million (2019-2024)
  • Table 141. Fog Computing Real-Time Analytics , by Region USD Million (2019-2024)
  • Table 142. Fog Computing Connected Healthcare , by Region USD Million (2019-2024)
  • Table 143. Fog Computing Smart Manufacturing , by Region USD Million (2019-2024)
  • Table 144. Fog Computing: by Architectural Services(USD Million)
  • Table 145. Fog Computing Software as a Service (SaaS) , by Region USD Million (2019-2024)
  • Table 146. Fog Computing Platform as a Service (PaaS) , by Region USD Million (2019-2024)
  • Table 147. Fog Computing Infrastructure as a Service (IaaS) , by Region USD Million (2019-2024)
  • Table 148. Fog Computing: by Deployment Models(USD Million)
  • Table 149. Fog Computing Private Fog Node , by Region USD Million (2019-2024)
  • Table 150. Fog Computing Community Fog Node , by Region USD Million (2019-2024)
  • Table 151. Fog Computing Public Fog Node , by Region USD Million (2019-2024)
  • Table 152. Fog Computing Hybrid Fog Node , by Region USD Million (2019-2024)
  • Table 153. Fog Computing: by Component(USD Million)
  • Table 154. Fog Computing Hardware [Servers, Switches, Routers, Gateways, Controller] , by Region USD Million (2019-2024)
  • Table 155. Fog Computing Software [Customized Application Software, Fog Computing Platform] , by Region USD Million (2019-2024)
  • Table 156. South America Fog Computing, by Country USD Million (2019-2024)
  • Table 157. South America Fog Computing, by Application USD Million (2019-2024)
  • Table 158. South America Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 159. South America Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 160. South America Fog Computing, by Component USD Million (2019-2024)
  • Table 161. Brazil Fog Computing, by Application USD Million (2019-2024)
  • Table 162. Brazil Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 163. Brazil Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 164. Brazil Fog Computing, by Component USD Million (2019-2024)
  • Table 165. Argentina Fog Computing, by Application USD Million (2019-2024)
  • Table 166. Argentina Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 167. Argentina Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 168. Argentina Fog Computing, by Component USD Million (2019-2024)
  • Table 169. Rest of South America Fog Computing, by Application USD Million (2019-2024)
  • Table 170. Rest of South America Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 171. Rest of South America Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 172. Rest of South America Fog Computing, by Component USD Million (2019-2024)
  • Table 173. Asia Pacific Fog Computing, by Country USD Million (2019-2024)
  • Table 174. Asia Pacific Fog Computing, by Application USD Million (2019-2024)
  • Table 175. Asia Pacific Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 176. Asia Pacific Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 177. Asia Pacific Fog Computing, by Component USD Million (2019-2024)
  • Table 178. China Fog Computing, by Application USD Million (2019-2024)
  • Table 179. China Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 180. China Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 181. China Fog Computing, by Component USD Million (2019-2024)
  • Table 182. Japan Fog Computing, by Application USD Million (2019-2024)
  • Table 183. Japan Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 184. Japan Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 185. Japan Fog Computing, by Component USD Million (2019-2024)
  • Table 186. India Fog Computing, by Application USD Million (2019-2024)
  • Table 187. India Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 188. India Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 189. India Fog Computing, by Component USD Million (2019-2024)
  • Table 190. South Korea Fog Computing, by Application USD Million (2019-2024)
  • Table 191. South Korea Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 192. South Korea Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 193. South Korea Fog Computing, by Component USD Million (2019-2024)
  • Table 194. Taiwan Fog Computing, by Application USD Million (2019-2024)
  • Table 195. Taiwan Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 196. Taiwan Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 197. Taiwan Fog Computing, by Component USD Million (2019-2024)
  • Table 198. Australia Fog Computing, by Application USD Million (2019-2024)
  • Table 199. Australia Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 200. Australia Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 201. Australia Fog Computing, by Component USD Million (2019-2024)
  • Table 202. Rest of Asia-Pacific Fog Computing, by Application USD Million (2019-2024)
  • Table 203. Rest of Asia-Pacific Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 204. Rest of Asia-Pacific Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 205. Rest of Asia-Pacific Fog Computing, by Component USD Million (2019-2024)
  • Table 206. Europe Fog Computing, by Country USD Million (2019-2024)
  • Table 207. Europe Fog Computing, by Application USD Million (2019-2024)
  • Table 208. Europe Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 209. Europe Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 210. Europe Fog Computing, by Component USD Million (2019-2024)
  • Table 211. Germany Fog Computing, by Application USD Million (2019-2024)
  • Table 212. Germany Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 213. Germany Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 214. Germany Fog Computing, by Component USD Million (2019-2024)
  • Table 215. France Fog Computing, by Application USD Million (2019-2024)
  • Table 216. France Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 217. France Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 218. France Fog Computing, by Component USD Million (2019-2024)
  • Table 219. Italy Fog Computing, by Application USD Million (2019-2024)
  • Table 220. Italy Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 221. Italy Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 222. Italy Fog Computing, by Component USD Million (2019-2024)
  • Table 223. United Kingdom Fog Computing, by Application USD Million (2019-2024)
  • Table 224. United Kingdom Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 225. United Kingdom Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 226. United Kingdom Fog Computing, by Component USD Million (2019-2024)
  • Table 227. Netherlands Fog Computing, by Application USD Million (2019-2024)
  • Table 228. Netherlands Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 229. Netherlands Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 230. Netherlands Fog Computing, by Component USD Million (2019-2024)
  • Table 231. Rest of Europe Fog Computing, by Application USD Million (2019-2024)
  • Table 232. Rest of Europe Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 233. Rest of Europe Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 234. Rest of Europe Fog Computing, by Component USD Million (2019-2024)
  • Table 235. MEA Fog Computing, by Country USD Million (2019-2024)
  • Table 236. MEA Fog Computing, by Application USD Million (2019-2024)
  • Table 237. MEA Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 238. MEA Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 239. MEA Fog Computing, by Component USD Million (2019-2024)
  • Table 240. Middle East Fog Computing, by Application USD Million (2019-2024)
  • Table 241. Middle East Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 242. Middle East Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 243. Middle East Fog Computing, by Component USD Million (2019-2024)
  • Table 244. Africa Fog Computing, by Application USD Million (2019-2024)
  • Table 245. Africa Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 246. Africa Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 247. Africa Fog Computing, by Component USD Million (2019-2024)
  • Table 248. North America Fog Computing, by Country USD Million (2019-2024)
  • Table 249. North America Fog Computing, by Application USD Million (2019-2024)
  • Table 250. North America Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 251. North America Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 252. North America Fog Computing, by Component USD Million (2019-2024)
  • Table 253. United States Fog Computing, by Application USD Million (2019-2024)
  • Table 254. United States Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 255. United States Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 256. United States Fog Computing, by Component USD Million (2019-2024)
  • Table 257. Canada Fog Computing, by Application USD Million (2019-2024)
  • Table 258. Canada Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 259. Canada Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 260. Canada Fog Computing, by Component USD Million (2019-2024)
  • Table 261. Mexico Fog Computing, by Application USD Million (2019-2024)
  • Table 262. Mexico Fog Computing, by Architectural Services USD Million (2019-2024)
  • Table 263. Mexico Fog Computing, by Deployment Models USD Million (2019-2024)
  • Table 264. Mexico Fog Computing, by Component USD Million (2019-2024)
  • Table 265. Research Programs/Design for This Report
  • Table 266. Key Data Information from Secondary Sources
  • Table 267. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Fog Computing: by Application USD Million (2013-2018)
  • Figure 5. Global Fog Computing: by Architectural Services USD Million (2013-2018)
  • Figure 6. Global Fog Computing: by Deployment Models USD Million (2013-2018)
  • Figure 7. Global Fog Computing: by Component USD Million (2013-2018)
  • Figure 8. South America Fog Computing Share (%), by Country
  • Figure 9. Asia Pacific Fog Computing Share (%), by Country
  • Figure 10. Europe Fog Computing Share (%), by Country
  • Figure 11. MEA Fog Computing Share (%), by Country
  • Figure 12. North America Fog Computing Share (%), by Country
  • Figure 13. Global Fog Computing share by Players 2018 (%)
  • Figure 14. Global Fog Computing share by Players (Top 3) 2018(%)
  • Figure 15. Global Fog Computing share by Players (Top 5) 2018(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft Corporation (United States) Revenue: by Geography 2018
  • Figure 19. Cisco Systems, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. Cisco Systems, Inc. (United States) Revenue: by Geography 2018
  • Figure 21. Dell Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 22. Dell Inc. (United States) Revenue: by Geography 2018
  • Figure 23. ARM Holding Plc. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 24. ARM Holding Plc. (United Kingdom) Revenue: by Geography 2018
  • Figure 25. Fujitsu (Japan) Revenue, Net Income and Gross profit
  • Figure 26. Fujitsu (Japan) Revenue: by Geography 2018
  • Figure 27. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. Intel Corporation (United States) Revenue: by Geography 2018
  • Figure 29. PrismTech (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 30. PrismTech (United Kingdom) Revenue: by Geography 2018
  • Figure 31. Nebbiolo Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 32. Nebbiolo Technologies (United States) Revenue: by Geography 2018
  • Figure 33. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 34. IBM (United States) Revenue: by Geography 2018
  • Figure 35. Hitachi (Japan) Revenue, Net Income and Gross profit
  • Figure 36. Hitachi (Japan) Revenue: by Geography 2018
  • Figure 37. Global Fog Computing: by Application USD Million (2019-2024)
  • Figure 38. Global Fog Computing: by Architectural Services USD Million (2019-2024)
  • Figure 39. Global Fog Computing: by Deployment Models USD Million (2019-2024)
  • Figure 40. Global Fog Computing: by Component USD Million (2019-2024)
  • Figure 41. South America Fog Computing Share (%), by Country
  • Figure 42. Asia Pacific Fog Computing Share (%), by Country
  • Figure 43. Europe Fog Computing Share (%), by Country
  • Figure 44. MEA Fog Computing Share (%), by Country
  • Figure 45. North America Fog Computing Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Microsoft Corporation (United States)
  • Cisco Systems, Inc. (United States)
  • Dell Inc. (United States)
  • ARM Holding Plc. (United Kingdom)
  • Fujitsu (Japan)
  • Intel Corporation (United States)
  • PrismTech (United Kingdom)
  • Nebbiolo Technologies (United States)
  • IBM (United States)
  • Hitachi (Japan)
Additional players considered in the study are as follows:
Cradle Point (United States) , FogHorn Systems (United States)
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