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Fog computing also called as fog networking or fogging is used for the architecture provided in the proximity of the users to provide seamless cloud computing user experience. It is also known as edge computing, as it facilitates the functions such as storage, computing, and networking services between the cloud data centers, end enterprise and user devices.

Requirement of managing service offerings at the network edge to enhance the efficiency and avoid the network bottlenecks, is expected to propel the growth over the forecast period

Proliferation of IoT and internet enabled devices has led to exponential increase in data generation and access requirement at the end user leading to significant increase in the traffic generated. Traffic patterns vary based on the user inclination, however, they are concentrated in the metropolitan areas across the globe. Inadequacy of the cloud and internet networks to efficiently manage the data stream across its regional expanse also adds to the requirement of infrastructure in the proximity of the users. Advent of connected technologies such as connected homes, buildings, smart energy, connected factory operations, connected vehicles, and OTT content are among the prominent factors anticipated to fuel the demand for fog computing methodologies to avoid the network bottlenecks.

Fog Computing Market Taxonomy

On the basis of solutions, the global fog computing market is classified into:

  • Hardware
    • Switches
    • Sensors
    • Controllers
    • Gateways
    • Routers
    • Servers
  • Software

On the basis of end-use, the global fog computing market is classified into:

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

On the basis of applications, the global fog computing market is classified into:

  • Smart Grid
  • Smart Traffic Lights
  • Wireless Sensors
  • Decentralized Smart Building Control
  • IoT
  • Software Defined Networks 

Low latency requirement and high scalability for real time applications are expected to provide high traction to the fog computing market

Mission critical applications such as cloud robotics, fly-by wire aircraft control, and automotive anti-lock brakes require real time data processing. Control and management of the operations is directly dependent on the information collected by the sensors and the control system feedback. Event of the control system being run on cloud may negatively impact the sense-process-actuate loops or unavailable due to communication failures. However, low latency requirement of the fog computing can be used to perform the control system processing making the real-time reaction feasible. This methodology primarily aims at processing the incoming data in proximity to the data source itself and reduces the burden on the cloud processing, thus addressing scalability requirements, owing to increasing number of endpoints.

Software segment contributed to around 65% revenue of the fog computing market, is expected to remain the dominating revenue segment through the forecast period

Overall IT components costs have witnessed substantial decline over the past few years, in conjunction with considerable advancement leaps in the processing and compactness over the past few years. Connectivity costs have witnessed consistent price reductions with the advent of fast communication technologies such as 3G, 4G, and LTE. Software as a Service (SaaS) and the usability of these in analytics, e-commerce, collaboration, and other business functions has witnessed increased penetration at exponential rates. Thus, software solution segment is expected to dominate the market over the forecast period.

The U.S. dominated overall fog computing market share, owing to the high adoption in the country

Major investment in the R&D activities in the region, primarily in the automotive segment is expected to fuel the industry growth. The government has introduced a number of initiatives to revolutionize the automotive technologies, so as to reduce the number of road accidents and fatalities. Introduction of V2V communication, and V2I communication (or V2X) technologies are few of the initiatives in the process, which is expected to provide considerable growth prospects over the forecast period. The exponential rate of urbanization and industrialization in the Asia Pacific countries such as China, India, Indonesia, Thailand, Malaysia, South Korea, and Japan are expected to provide growth opportunities to key players in the market.

Key players operating the fog computing market include Microsoft Corporation, ARM Holdings PLC, Cisco Systems, GE Digital, Intel Corporation, Schneider Electric Software LLC, and Fujitsu Ltd.


Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.

Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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