Fog Computing Market is expected to grow at a moderate rate during the forecast period 2019-2025. Fog computing is a decentralized computing infrastructure that extends cloud computing and services to the network edge. It uses edge devices to perform a considerable amount of computation, storage, and communication locally. The most essential objective of fog computing is to decrease the amount of data and improve efficiency that requires to be transported to the cloud for further steps, such as processing, analysis, and storage. However, this is carried out to achieve efficiency and for security reasons. Hence, it is an appropriate application for a range of Internet of Things (IoT) applications and services.

The crucial factors leading to propel the growth of the market includes technological innovations and the rising adoption of IoT and smart devices. However, security concerns are restricting the growth of the market. Although, the increasing number of smart city projects are offering significant opportunity for the market. The smart cities are driven by connected sensors that can transform everything, ranging from public transportation to energy grids and e-Health. However, the IoT will require new ways to ensure stable and timely data flow among multiple connected devices, especially for applications carried out critical functions. According to the research by Ghent University, fog computing enables anomaly detection that may ensure the reliability of data-intensive and delay-sensitive applications that are driving the IoT growth and making cities smarter. Current approaches of anomaly detection for IoT only targets on the aspects of centralized cloud management.

Several smart city projects have witnessed across various countries, which is creating a significant opportunity for the global fog computing market. North America has launched a wide range of smart city projects. For instance, in August 2018, US Ignite, Inc., a non-profit organization that promotes the development of connected; smart communities have introduced a new project to support cities for better access to federal funding opportunities. For this purpose, the John S. and James L. Knight Foundation is funding for the project, amounting to $211,000. This funding is intended to offer tools to the cities for the development of solutions for the smart city that are highly responsive to resident preferences and needs. Furthermore, over the past few years, the US Department of Transportation has leveraged approximately $350 million in private and public funds for advanced transportation technologies and smart city. With the continuous development of smart cities, fog computing could be a vital part of smart city architecture. The adoption of fog computing can significantly reduce the costs of sending a considerable volume of data by decreasing bandwidth requirements. Hence, fog computing could offer major support in the foundation of smart cities.

Furthermore, the global fog computing market is segmented into component and application. Based on the component, the market is further classified into hardware and software. Based on application, the market is further classified into e-health, oil & gas, transportation & logistics, smart city, manufacturing, building, and home automation, smart grids and others. For building & home automation, the development of cloud services, lower cost of hardware and the improvement of wireless protocols have commenced a new era for smart homes. Fog computing is one of such supporting technologies and the major instance of this technology is ZiWi. It is a distributed fog computing home automation system that enables seamless communications among ZigBee and WiFi devices. The fog services may respond multiple times faster as compared to the cloud services. In addition, building automation shows the requirement for localized processing and edge intelligence. A commercial building may comprise several sensors to measure building operating parameters, such as parking space occupancy, keycard readers and temperature. The data from these operating parameters need to be analyzed to monitor the situations where actions are required, including triggering a fire alarm during a sense of smoke. Fog computing enables autonomous local operations for the improved control function. Each floor and even individual room may contain its own fog node. This is responsible to carry out emergency monitoring and response function, and controlling lighting and climate. In addition, it provides a building-resident storage and computing infrastructure to leverage the limited capabilities of local tablets, computers, and smartphones. Due to such potential capabilities, the adoption of fog computing is rising significantly in building and home automation.

Geographically, North America is the major contributors to the demand for fog computing. The factors affecting the adoption of fog computing in the region include the presence of major players such as Cisco Systems, Inc., and IBM Corporation in the region. Asia-Pacific is estimated to show considerable growth due to the increasing number of smart city projects in the region.

The companies involved in the market comprise Cisco Systems, Inc., Microsoft Corp., SAP SE, Dell, Inc. Nebbiolo Technologies, Inc. and IBM Corp. These companies are using various strategies, such as merger and acquisitions, product launches and partnership and collaborations to expand market share globally.  For instance, in June 2018, Nebbiolo Technologies, Inc. launched fogOS2.2.0 that comprise fogSM software component. This platform enables enterprises to securely run their business-related information technology and operational technology at their edge, in hybrid cloud and public/private cloud environments. It encompasses various features, such as real-time application deployment workflow and UX based fogNode upgrade. The fogSM AppStore is leveraged to accommodate the deployment and provisioning of real-time applications on the fogNodes. In addition, UX based feature allows the fogSM administrator to upgrade a fogNode from version V1 to version V2.

Research Methodology

The market study of global fog computing market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, consumer behavior and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.

Secondary Sources Include

• Financial reports of companies involved in the market
• Authentic Public Databases such as National Center for Biotechnology Information, Eurostat and so on.
• Whitepapers, research-papers, and news blogs
• Company websites and their product catalog

The report is intended for government and private companies for overall market analysis and competitive analysis. The report provides an in-depth analysis of pricing, market size, intended quality of the product preferred by consumers. The report will serve as a source for 360-degree analysis of the market thoroughly integrating different models.

Market Segmentation

Global fog computing market is segmented on the basis of regional outlook and following segments:

• Global Fog computing Market Research and Analysis by Component
• Global Fog computing Market Research and Analysis by Application
• Global Fog computing Market Research and Analysis by Region

The Report Covers

• Comprehensive research methodology of the global fog computing market.
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Analysis of regional regulations and other government policies impacting the global fog computing market.
• Insights about market determinants which are stimulating the global fog computing market.
• Detailed and extensive market segments with regional distribution of forecasted revenues.
• Extensive profiles and recent developments of market players.