Fog Computing Market

Fog Computing Market by Offering (Hardware, Software), Application (Building & Home Automation, Smart Energy, Smart Manufacturing, Transportation & Logistics, Connected Health, Security & Emergencies), and Geography - Global Forecast to 2022

Report Code: SE 4563 Sep, 2016, by marketsandmarkets.com

[126 Pages Report] The fog computing market is expected to grow from USD 22.28 Million in 2017 to reach USD 203.48 Million by 2022, at a CAGR of 55.6% during the forecast period. The adoption of fog computing technology is expected to grow in proportion with the growth of connected devices and cloud infrastructure. Major drivers for the growth of fog computing are bandwidth limitations and low latency of existing IoT infrastructure, growing need of real-time applications, increased awareness of data security, and need for performing analytics at the edge of the network. The forecast period for the market is considered between 2017 and 2022.

Market Dynamics

Drivers

  • Bandwidth limitations of existing IoT infrastructure slowing the analysis of growing big data
  • Real-time operations and increased data security by fog computing
  • Need for analytics at the network’s edge

Restraints

  • Lack of uniform governance standards
  • Lack of fog computing technology skills

Opportunities

  • Potential growth opportunities for system integrators, platform providers, communication technology providers, and cloud service providers

Challenges

  • Increased potential for cyber-attacks due to extension of network’s edge
  • Decentralized computing leading to complexity in architecture

The need for real-time computing is the motivation behind the need for fog computing.

Fog computing is a paradigm that extends cloud computing to the edge of the network. The evolution of IoT and the huge amount of data that it generates has created the problem of high internet traffic, which further increases the problem of latency that the world is facing. Fog computing is a technology that can help in overcoming all these problems by bringing the power of computing at the edge of the network.

Fog Computing Market

The following are the major objectives of the study.

  • To define, describe, and forecast the global fog computing market on the basis of technology, application, and geography
  • To analyze the market structure by identifying the various subsegments of the fog computing market
  • To forecast the market size, in terms of value, for various geographies, with regard to four main regions, namely, Americas, Europe, Asia-Pacific, and RoW
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, industry-specific challenges.)
  • To strategically analyze micro-markets with respect to individual growth trends, future prospects, and contribution to the total market
  • To identify the major market trends and factors driving or preventing the growth of the market and its various sub-markets
  • To analyze the Porter’s five forces in detail along with the value chain analysis of the market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the fog computing ecosystem
  • To strategically profile the key players in the market and comprehensively analyze their market shares and core competencies in each segment
  • To analyze competitive developments such as alliances, joint ventures, and mergers & acquisitions in the market

The research methodology used to estimate and forecast the fog computing market begins with capturing data on key vendor revenues through secondary research such as Embedded Computing Design, Tech Target, OpenFog Consortium, and many more. The vendor offerings are also taken into consideration to determine the market segmentation. The top-down procedure was employed to arrive at the overall market size of the global market from the revenue of the key market players. After arriving at the overall market size, the total market has been split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key people such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The breakdown of the profiles of primary respondents has been depicted in the figure below:

Fog Computing Market

To know about the assumptions considered for the study, download the pdf brochure

The fog computing market ecosystem includes connectivity hardware providers, connectivity solution providers, and end users. This report provides valuable insights into the ecosystem of this market including connectivity hardware providers such as Intel and ARM Holding Plc., among others;   connectivity solution providers such as Microsoft Corporation (U.S.) and PrismTech Corporation (U.S.); system Integrators such as Nebbiolo Technologies (U.S.) and Dell Inc. (U.S.).

Major Market Developments

  • In June 2016, Cisco released IOx, an application enablement platform that provides uniform and consistent hosting capabilities for various types of apps across various Cisco platforms in fog computing.
  • In March 2016, PrismTech announced Vortex 2.1, a set of the most comprehensive, real-time data sharing platforms for IoT, which also support fog computing, with the name Vortex Fog.
  • In April 2016, Fujitsu announced that it is working with Microsoft, ARM, Cisco, Dell, Intel, and the Princeton University Edge Laboratory to form a consortium that aims to speed up the development of core technologies for fog computing.

Target Audience:

The intended audience for this report includes:

  • IT infrastructure equipment providers
  • Support infrastructure equipment providers
  • Component providers
  • Software providers
  • System integrators
  • Network service providers
  • Monitoring service providers
  • Support service providers
  • Professional service providers
  • Distributors and resellers
  • Cloud providers
  • Colocation providers
  • Enterprises
  • Government and standardization bodies
  • Telecom operators
  • Healthcare organizations
  • Financial organizations
  • Data center vendors

Report Scope:

By Type:

  • Hardware
  • Software
    • Fog Computing Platform
    • Customized Application Software

By Application:

  • Building & Home Automation
  • Smart Energy
  • Smart Manufacturing
  • Transportation & Logistics
  • Connected Health
  • Security & Emergencies
  • Others (Smart Environment and Smart Retail

By Region:

  • Americas
  • Europe
  • Asia-Pacific (APAC)
  • Rest of the World (RoW)

Critical questions which the report answers

  • How the fog computing disrupts the various industry verticals?
  • How traditional computing hardware and software companies can leverage the growth of fog computing market?

Available Customizations:

Based on the given market data, MarketsandMarkets offers customizations in the reports as per the client’s specific requirements. The available customization options are as follows:

  • Company information: Detailed analysis and profiling of additional five market players.
  • Further breakdown of the Americas fog computing market into North America (U.S., Canada, and Mexico) and South America (Brazil and others).
  • Further breakdown of the European fog computing market into France, the U.K., Italy, Germany, and Rest of Europe.
  • Further breakdown of the Asia-Pacific market into China, Australia, Singapore, and Rest of APAC.

The fog computing market, in terms of value, is expected to grow from USD 22.28 Million in 2017 to USD 203.48 Million by 2022, at a CAGR of 55.6% between 2017 and 2022. The market would be highly diversified and competitive with market players including top-tier and mid-tier companies as well as start-up firms. With the rate of proliferation of smart sensors, the increasing adoption of IoT-enabled devices, and mainstreaming of many smart applications, the fog technology is expected to become the most popular concept across domains such as manufacturing, energy, transportation & logistics, and healthcare, among others.

Concurrent IoT infrastructure is not capable of handling critical, real-time, and heavy applications because of bandwidth limitations and low latency requirement of such applications. Therefore, it has become imperative to introduce an additional computational network layer between cloud and edge devices. This layer is the fog computing layer. It comprises fog nodes and fog computing platform. Fog nodes are the generic networking devices such as routers, switches, controller, gateways, and servers. In other words, any device with computation, storage, and networking capability can be a fog node. Fog software comprises two stages: the platform enables the generic design of computational parameters and processes and the customized service software enables application-specific design of fog nodes.

The smart manufacturing application would hold the largest share of the market followed by smart energy. A number of sensors are used for different functions in factories or manufacturing units, which generate huge amounts of data per hour that needs to be transferred to the cloud for computing. This transfer of data back and forth takes time and is not ideal for functions that require real-time processing of data for critical decision making. Fog computing is a solution to these problems as fog brings the power of computing at the edge of the network, thus helping to solve the problem in real time. This would help manufacturing companies in better decision making with real-time data, which would also help in reducing the operating cost.

The market in the Americas is expected to hold the largest share of the market in 2017. The major driving factors for the growth in the Americas are the intense research and development in the field of fog computing, high penetration of Internet of Things, and growth of a number of IoT and cloud start-ups.

Fog Computing Market

The adoption of fog computing technology is expected to grow in proportion with the growth of connected devices and cloud infrastructure.

Smart Manufacturing

In the manufacturing application, the growing potential of Internet of Things (IoT) to improve the productivity in the production processes and the supply chain would lead to the need of a technology that would help in real-time data computing for better decision making for time-critical operations. Fog computing is expected to fundamentally change the way products are developed, manufactured, transported, and sold. At present, a very small percentage of manufacturing operations are using connected enterprises because of the concern of data security while transferring it to the cloud for computing. However, fog would help in the computing of data at the network edge and only limited information would have to be transferred to the cloud. Thus, the fog setup is expected to attract more manufacturers toward the connected enterprise.

Smart Energy

The oil & gas and power industry’s search for hydrocarbons has expanded to increasingly remote and extreme environments and the focus on safety and efficiency is driving the need for Internet of Things solutions within the industry. The energy loss due to leakage and accidents is another concern that needs to be addressed on priority. Fog computing can help in remote monitoring and on-the-spot decision making that would help in reducing the chances of any accident or disruption in operations. Fog computing can also compensate for the shortage of skilled workforce for collecting and analyzing equipment data. Moreover, it also helps reduce the risk to the lives of the workforce and improves overall safety and efficiency.

Transportation & Logistics

The implementation of Internet of Things in transportation systems has enabled a whole range of advanced capabilities for increasing the passenger safety and operating efficiency of logistics and transportation. IoT is proving very useful in all the modes of transport, namely, aviation, railways, roadways, and maritime transport. However, with the installation of so many sensors, huge amounts of data would be generated, which would create a need for additional intelligence for analysis and real-time response. Fog computing would help in processing this data locally to enable real-time asset management and monitoring to cut down or minimize operational risks and downtime. Fog computing would also help in monitoring and controlling engine idle time to reduce emissions, conserve fuel, and in turn, maximize profits for the organizations.

Critical questions would be

  • What could be the potential industrial applications of fog computing technology?
  • Which companies are among the leaders in fog computing market?

The lack of skilled talent in fog computing technology skills is a major restraint for the growth of this market. However, the fog computing market offers a huge scope for innovative cross-domain applications and development of comprehensive system solutions. There are several potential growth opportunities for system integrators, platform providers, communication technology providers, and cloud service providers in this market.

The major players engaged in the development of FOG COMPUTING are Cisco Systems, Inc. (U.S.), Microsoft Corporation (U.S.), ARM Holding Plc. (U.K.), Dell Inc. (U.S.), Intel Corporation (U.S.), Fujitsu (Japan), GE Digital (U.S.), Nebbilo Technologies (U.S.), Schneider Electric Software, LLC (Japan), Toshiba Corporation (Japan), and PrismTech Corporation (U.S.). Cisco Systems, Inc. offers routing, switching, and associated services including comprehensive security and mobility solutions. Cisco offers its products and services to help improve productivity and efficiency for application areas such as oil & gas, manufacturing, utilities, connected transportation, smart & connected cities, mining, public sector, and connected factory with its IoT solutions and services across the globe.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 12)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Markets Covered
           1.3.2 Regional Scope
           1.3.3 Years Considered for the Study
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 15)
    2.1 Research Data
           2.1.1 Secondary Data
                     2.1.1.1 Key Data From Secondary Sources
           2.1.2 Primary Data
                     2.1.2.1 Key Data From Primary Sources
                     2.1.2.2 Key Industry Insights
                     2.1.2.3 Breakdown of Primaries
    2.2 Factor Analysis
           2.2.1 Introduction
           2.2.2 Demand-Side Analysis
                     2.2.2.1 Growing Market for Internet of Things and Cloud in Every Major Sector
                     2.2.2.2 to Cut Down Energy Usage and Save Resources
           2.2.3 Supply-Side Analysis
                     2.2.3.1 Vendors’ Strategies in Developing Various Products and Solutions for Various Sectors
    2.3 Market Size Estimation
           2.3.1 Bottom-Up Approach
           2.3.2 Top-Down Approach
    2.4 Market Breakdown and Data Triangulation
    2.5 Research Assumptions

3 Executive Summary (Page No. - 26)

4 Premium Insights (Page No. - 30)
    4.1 Fog Computing Market Expected to Grow at A Stable Growth Rate Between 2017 and 2022
    4.2 Market By Offering (2017–2022)
    4.3 Market' By Geography (2017–2022)
    4.4 Fog Computing Market By Application and Geography in 2022
    4.5 Life Cycle Analysis' By Geography

5 Market Overview (Page No. - 34)
    5.1 Introduction
    5.2 Market Segmentation
           5.2.1 Fog Computing Market' By Offering
           5.2.2 Market By Application
           5.2.3 Fog Computing Market' By Geography
    5.3 Market Dynamics
           5.3.1 Drivers
                     5.3.1.1 Bandwidth Limitations of Existing IoT Infrastructure Slowing the Analysis of Growing Big Data
                     5.3.1.2 Real-Time Operations and Increased Data Security By Fog Computing
                     5.3.1.3 Need for Analytics at the Network’s Edge
           5.3.2 Restraints
                     5.3.2.1 Lack of Uniform GoveRNAnce Standards
                     5.3.2.2 Lack of Fog Computing Technology Skills
           5.3.3 Opportunities
                     5.3.3.1 Potential Growth Opportunities for System Integrators' Platform Providers' Communication Technology Providers' and Cloud Service Providers
           5.3.4 Challenges
                     5.3.4.1 Increased Potential for Cyber-Attacks Due to Extension of Network’s Edge
                     5.3.4.2 Decentralized Computing Leading to Complexity in Architecture

6 Industry Trends (Page No. - 41)
    6.1 Introduction
    6.2 Value Chain Analysis
    6.3 Industry Trends
    6.4 Porter’s Five Forces Analysis
           6.4.1 Threat of New Entrants
           6.4.2 Bargaining Power of Suppliers
           6.4.3 Threat of Substitutes
           6.4.4 Bargaining Power of Buyers
           6.4.5 Intensity of Competitive Rivarly

7 Fog Computing Market' By Offering (Page No. - 51)
    7.1 Introduction
    7.2 Hardware
           7.2.1 Servers
           7.2.2 Routers
           7.2.3 Swithces
           7.2.4 Controller
           7.2.5 Gateways
    7.3 Software
           7.3.1 Fog Computing Platform
           7.3.2 Customized Application Software

8 Fog Computing Market' By Application (Page No. - 60)
    8.1 Introduction
    8.2 Building & Home Automation
    8.3 Smart Energy
    8.4 Smart Manufacturing
    8.5 Transportation & Logistics
    8.6 Connected Health
    8.7 Security & Emergencies
    8.8 Others (Smart Environment and Smart Retail)

9 Fog Computing Market' By Geography (Page No. - 77)
    9.1 Introduction
    9.2 Americas
    9.3 Europe
    9.4 Asia-Pacific
    9.5 Rest of the World

10 Competitive Landscape (Page No. - 89)
     10.1 Overview
     10.2 Ranking Analysis' Fog Computing Market in 2016
     10.3 Significant Developments in the Market

11 Company Profile (Page No. - 94)
(Overview' Products and Services' Financials' Strategy & Development)*
     11.1 Introduction
     11.2 Cisco Systems' Inc.
     11.3 Microsoft Corporation
     11.4 ARM Holdings PLC
     11.5 Intel Corporation.
     11.6 GE Digital
     11.7 Fujitsu Ltd.
     11.8 Schneider Electric Software' LLC
     11.9 Toshiba Corporation
     11.10 Prismtech Corporation
     11.11 Dell' Inc.
     11.12 Nebbiolo Technologies

*Details on Overview' Products and Services' Financials' Strategy & Development Might Not Be Captured in Case of Unlisted Companies.

12 Appendix (Page No. - 119)
     12.1 Insights From Industry Experts
     12.2 Discussion Guide
     12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     12.4 Introducing RT : Real-Time Market Intelligence
     12.5 Available Customization
     12.6 Related Reports


List of Tables (37 Tables)

Table 1 Fog Computing Market' By Offering' 2017–2022 (USD Million)
Table 2 Market' By Application' 2017–2022 (USD Million)
Table 3 Fog Computing Market' By Geography' 2017–2022 (USD Million)
Table 4 Market' By Offering' 2017–2022 (USD Million)
Table 5 Fog Computing Hardware Market' By Application' 2017–2022 (USD Million)
Table 6 Fog Computing Hardware Market' By Geography' 2017–2022 (USD Million)
Table 7 Fog Computing Software Market' By Offering' 2017–2022 (USD Million)
Table 8 Fog Computing Software Market' By Application' 2017–2022 (USD Million)
Table 9 Fog Computing Software Market' By Geography' 2017–2022 (USD Million)
Table 10 Fog Computing Market' By Application' 2017–2022 (USD Million)
Table 11 Market for Building & Home Automation Application' By Offering' 2017–2022 (USD Million)
Table 12 Fog Computing Market for Building & Home Automation Application' By Geography' 2017–2022 (USD Million)
Table 13 Market for Smart Energy Application' By Offering' 2017–2022 (USD Million)
Table 14 Fog Computing Market for Smart Energy Application' By Geography' 2017–2022 (USD Million)
Table 15 Market for Smart Manufacturing Application' By Offering' 2017–2022 (USD Million)
Table 16 Market for Smart Manufacturing Application' By Geography' 2017–2022 (USD Million)
Table 17 Market for Transportation & Logistics Application' By Offering' 2017–2022 (USD Million)
Table 18 Market for Transportation & Logistics Application' By Geography' 2017–2022 (USD Million)
Table 19 Fog Computing Market for Connected Health Application' By Offering' 2017–2022 (USD Million)
Table 20 Market for Connected Health Application' By Geography' 2017–2022 (USD Million)
Table 21 Fog Computing Market for Security & Emergencies Application' By Offering' 2017–2022 (USD Million)
Table 22 Market for Security & Emergencies Application' By Geography' 2017–2022 (USD Million)
Table 23 Market for Other Applications' By Offering' 2017–2022 (USD Million)
Table 24 Market for Other Applications' By Geography' 2017–2022 (USD Million)
Table 25 Fog Computing Market' By Geography' 2017–2022 (USD Million)
Table 26 Market in Americas' By Offering' 2017–2022 (USD Million)
Table 27 Fog Computing Market in Americas' By Application' 2017–2022 (USD Million)
Table 28 Market in Europe' By Offering' 2017–2022 (USD Million)
Table 29 Market in Europe' By Application' 2017–2022 (USD Million)
Table 30 Market in Asia-Pacific' By Offering' 2017–2022 (USD Million)
Table 31 Market in Asia-Pacific' By Application' 2017–2022 (USD Million)
Table 32 Fog Computing Market in RoW' By Offering' 2017–2022 (USD Million)
Table 33 Market in RoW' By Application' 2017–2022 (USD Million)
Table 34 Cisco Systems' Inc. (U.S.) and Prismtech Corporation (U.S.) Expected to Lead the Market in 2016
Table 35 New Product Developments (2014–2016)
Table 36 Mergers and Acquisitions (2015)
Table 37 Partnerships' Agreements' Contracts' Joint Ventures' and Collaborations (2015–2016)
 
 
List of Figures (55 Figures)
 
Figure 1 Fog Computing Market: Research Design
Figure 2 Cloud Computing to Witness Tremendous Growth Between 2016 and 2022
Figure 3 Data Triangulation
Figure 4 Process Flow of Market Size Estimation
Figure 5 Software to Have the Major Market Size Between 2017 and 2022
Figure 6 Smart Manufacturing to Have the Largest Market Size Between 2017 and 2022
Figure 7 Americas to Grow With the Highest Rate in Market Between 2017 and 2022
Figure 8 Attractive Opportunities in the Market Between 2017 and 2022
Figure 9 Software Segment to Hold the Major Market Share in the Overall Fog Computing Market (2017–2022)
Figure 10 Americas to Dominate the Overall Market Between 2017 and 2022
Figure 11 Smart Manufacturing and Smart Energy to Dominate the Overall Market in 2022
Figure 12 Americas Expected to Enter Maturity Stage in the Market Between 2017 and 2022
Figure 13 Segments of Fog Computing Market
Figure 14 Bandwidth Limitation of Existing IoT Infrastructure is Driving the Market
Figure 15 Value Chain Analysis of Market (2015)
Figure 16 Key Industry Trends in the Market
Figure 17 Porter’s Five Forces Analysis of the Market (2015)
Figure 18 Porter’s Five Forces Analysis (2015): Impact Analysis for the Market
Figure 19 Fog Computing Market: Threat of New Enterants' 2015
Figure 20 Market: Bargaining Power of Suppliers' 2015
Figure 21 Market: Threat of Subsitutes' 2015
Figure 22 Market: Bargaining Power of Buyers' 2015
Figure 23 Fog Computing Market: Intensity of Competitive Rivarly' 2015
Figure 24 Market Segmentation: By Offering
Figure 25 Software to Hold the Major Market Size Between 2017 and 2022
Figure 26 Smart Manufacturing Application to Hold the Largest Market Size Between 2017 and 2022
Figure 27 Fog Computing Platform to Hold the Largest Market Size Between 2017 and 2022
Figure 28 Americas to Hold the Largest Market Size Between 2017 and 2022
Figure 29 Fog Computing Market Segmentation' By Application
Figure 30 Market: Year of Adoption for Applications
Figure 31 Smart Manufacturing to Hold the Largest Market Size Between 2017 and 2022
Figure 32 Americas to Hold the Largest Market Size for Smart Energy Between 2017 and 2022
Figure 33 Software to Hold the Largest Market for Transportation & Logistics Between 2017 and 2022
Figure 34 Software to Hold the Largest Market for Security & Emergencies Application Between 2017 and 2022
Figure 35 Fog Computing Market' By Geography' 2017–2022
Figure 36 Americas Expected to Hold the Largest Size of the Market Between 2017 and 2022
Figure 37 Fog Computing Market Snapshot in the Americas
Figure 38 Smart Manufacturing Application Likely to Dominate the European Market Between 2017 and 2022
Figure 39 Smart Energy Expected to Hold the Largest Size of the Market in RoW Between 2017 and 2022
Figure 40 Companies Adopted New Product Launches and Developments as A Key Strategy Between 2015 to 2016
Figure 41 Battle for Market Share: New Product Development is the Key Strategy Adopted By Players
Figure 42 Geographic Revenue Mix of the Top 5 Players (2015)
Figure 43 Cisco Systems' Inc.: Company Snapshot
Figure 44 Cisco Systems Inc.: SWOT Analysis
Figure 45 Microsoft Corporation: Company Snapshot
Figure 46 Microsoft Corporation: SWOT Analysis
Figure 47 ARM Holdings PLC: Company Snapshot
Figure 48 ARM Holding PLC : SWOT Analysis
Figure 49 Intel Corporation: Company Snapshot
Figure 50 Intel Corporation: SWOT Analysis
Figure 51 GE Digital: Company Snapshot
Figure 52 GE Digital: SWOT Analysis
Figure 53 Fujitsu Ltd.: Company Snapshot
Figure 54 Schneider Electric Software' LLC: Company Snapshot
Figure 55 Toshiba Corporation: Company Snapshot 


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Report Code
SE 4563
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