Fog Computing Market Size - Industry Share Report 2022

Fog Computing Market Size, Capacity, Trends, Outlook, Research, Analysis, Growth | Industry Report 2022 Market Research Report to It’s a Database.

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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 fog computing market is driven by factors such as the increasing adoption of Internet of Things worldwide, growing demand for computing capability at the edge, high adoption of smart sensors that would create huge amount of data, and mainstreaming of cloud computing. The increasing government and private funding across the globe for research and development in IoT, cloud and fog, and scope for innovative cross-domain applications provide significant growth opportunities in the market.

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The smart manufacturing application is expected to hold the largest share of the fog computing market by 2022, while the smart manufacturing application is expected to witness the highest growth rate between 2017 and 2022.Currently, the sensors for different functions used in factories or manufacturing units generate huge amounts of data per hour which needs to be transferred to the cloud for computing. This transfer of the data to and from the cloud takes time and is not considered ideal for functions that require real-time processing of data for critical decision making. Fog computing is a solution for these problems as fog brings the power of computing at the edge of the network, thus helping to solving the problem in real time. This would help manufacturing companies in terms of better decision making with real-time data, which would also help in reducing operating cost.

Key Points From Table Of Content:

5 Market Overview

5.1 Introduction
5.2 Market Segmentation
5.2.1 Fog Computing Market' By Offering
5.2.2 Fog Computing 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

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11 Company Profile

(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

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