Showing posts with label Fog Computing Market. Show all posts
Showing posts with label Fog Computing Market. Show all posts

Monday, September 28, 2020

Fog Computing Outlook and Forecast 2020 due to COVID-19 Impact

 

This report also researches and evaluates the impact of Covid-19 outbreak on the Fog Computing industry, involving potential opportunity and challenges, drivers and risks. We present the impact assessment of Covid-19 effects on Fog Computing and market growth forecast based on different scenario (optimistic, pessimistic, very optimistic, most likely etc.).

GLOBAL INFO RESEARCH has recently published a research report titled, [Global Fog Computing Market 2020 by Company, Regions, Type and Application, Forecast to 2025] assessing various factors impacting its trajectory. Analysts have used primary and secondary research methodologies to determine the path of the market. The data includes historic and forecast values for a well-rounded understanding. The global Fog Computing market is expected to augment in the forecast period owing to various drivers and opportunities that lie in the ever-growing market. This report includes assessment of various drivers, government policies, technological innovations, upcoming technologies, opportunities, market risks, restrains, market barriers, challenges, trends, competitive landscape, and segments.

Click to view the full report TOC, figure and tables:  https://www.globalinforesearch.com/Global-Fog-Computing_p496143.html

The major players covered in Fog Computing are:
ARM Holdings
Hitachi Data Systems
Dell
Cisco Systems
GE Digital
Cradlepoint
Intel
Fujitsu
FogHorn Systems
IBM
Schneider Electric Software
Microsoft
Toshiba
Prismtech
Nebbiolo Technologies
Oracle

Global Fog Computing Market: Drivers and Restraints

This section of the report assess various drivers, opportunities, and restrains that lie in the market. These drivers and restraints are determined by various factors such as region, key players, innovations, and others. The report will help readers determine the key drivers and solutions for restraints. It also highlights the possible opportunities. The drivers and restraints are identified by current trends and historic milestones achieved by the market. The chapter on drivers and restraints also offers an evaluation of the investments made in production innovation through the years. The changes in environmental perspective have also been factored in to understand their impact on the growth of the global Fog Computing market.

Analysts have also highlighted the potential restraints present in the global Fog Computing market. With the help of market experts the report points out what changes companies can make to overcome these hurdles over the forecast years.

Global Fog Computing Market: Segment Analysis

The market has various segments such as applications, end users, and products. These help in determining the growth of a particular segment of a market. The readers can assess why a certain segment is performing better than the other and then make strategic investments. The type segment includes sales value for the forecast period of 2014 to 2025. The application segment includes sales by volume and consumption for the forecast period of 2014 to 2025.

Global Fog Computing Market: Regional Analysis

Different regions of the global market influence growth differently. Various factors such as economic growth, technological developments, government policies, availability of labor, and others are compared with each to determine which region will outperform other. The regions included in this report are North America, Europe, Asia Pacific, and the Middle East and Africa.

Global Fog Computing Market: Competitive Landscape

Competitive landscape of a report determines the overall scenario of the market focusing on key players and their strategic moves. Readers can get an insight of how various key players are performing in the market and the scope for emerging players.

Table of Content

1 Fog Computing Market Overview
1.1 Product Overview and Scope of Fog Computing
1.2 Classification of Fog Computing by Type
1.2.1 Global Fog Computing Revenue by Type: 2015 VS 2019 VS 2025
1.2.2 Global Fog Computing Revenue Market Share by Type in 2019
1.2.3 Software
1.2.4 Hardware
1.3 Global Fog Computing Market by Application
1.3.1 Overview: Global Fog Computing Revenue by Application: 2015 VS 2019 VS 2025
1.3.2 Security
1.3.3 Intelligent Energy
1.3.4 Intelligent Manufacturing
1.3.5 Traffic
1.3.6 Logistics
1.3.7 Other
1.4 Global Fog Computing Market by Regions
1.4.1 Global Fog Computing Market Size by Regions: 2015 VS 2019 VS 2025
1.4.2 Global Market Size of Fog Computing (2015-2025)
1.4.3 North America (USA, Canada and Mexico) Fog Computing Status and Prospect (2015-2025)
1.4.4 Europe (Germany, France, UK, Russia and Italy) Fog Computing Status and Prospect (2015-2025)
1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Fog Computing Status and Prospect (2015-2025)
1.4.6 South America (Brazil, Argentina, Colombia) Fog Computing Status and Prospect (2015-2025)
1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Fog Computing Status and Prospect (2015-2025)
2 Company Profiles
2.1 ARM Holdings
2.1.1 ARM Holdings Details
2.1.2 ARM Holdings Major Business
2.1.3 ARM Holdings SWOT Analysis
2.1.4 ARM Holdings Product and Services
2.1.5 ARM Holdings Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.2 Hitachi Data Systems
2.2.1 Hitachi Data Systems Details
2.2.2 Hitachi Data Systems Major Business
2.2.3 Hitachi Data Systems SWOT Analysis
2.2.4 Hitachi Data Systems Product and Services
2.2.5 Hitachi Data Systems Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.3 Dell
2.3.1 Dell Details
2.3.2 Dell Major Business
2.3.3 Dell SWOT Analysis
2.3.4 Dell Product and Services
2.3.5 Dell Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.4 Cisco Systems
2.4.1 Cisco Systems Details
2.4.2 Cisco Systems Major Business
2.4.3 Cisco Systems SWOT Analysis
2.4.4 Cisco Systems Product and Services
2.4.5 Cisco Systems Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.5 GE Digital
2.5.1 GE Digital Details
2.5.2 GE Digital Major Business
2.5.3 GE Digital SWOT Analysis
2.5.4 GE Digital Product and Services
2.5.5 GE Digital Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.6 Cradlepoint
2.6.1 Cradlepoint Details
2.6.2 Cradlepoint Major Business
2.6.3 Cradlepoint Product and Services
2.6.4 Cradlepoint Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.7 Intel
2.7.1 Intel Details
2.7.2 Intel Major Business
2.7.3 Intel Product and Services
2.7.4 Intel Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.8 Fujitsu
2.8.1 Fujitsu Details
2.8.2 Fujitsu Major Business
2.8.3 Fujitsu Product and Services
2.8.4 Fujitsu Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.9 FogHorn Systems
2.9.1 FogHorn Systems Details
2.9.2 FogHorn Systems Major Business
2.9.3 FogHorn Systems Product and Services
2.9.4 FogHorn Systems Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.10 IBM
2.10.1 IBM Details
2.10.2 IBM Major Business
2.10.3 IBM Product and Services
2.10.4 IBM Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.11 Schneider Electric Software
2.11.1 Schneider Electric Software Details
2.11.2 Schneider Electric Software Major Business
2.11.3 Schneider Electric Software Product and Services
2.11.4 Schneider Electric Software Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.12 Microsoft
2.12.1 Microsoft Details
2.12.2 Microsoft Major Business
2.12.3 Microsoft Product and Services
2.12.4 Microsoft Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.13 Toshiba
2.13.1 Toshiba Details
2.13.2 Toshiba Major Business
2.13.3 Toshiba Product and Services
2.13.4 Toshiba Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.14 Prismtech
2.14.1 Prismtech Details
2.14.2 Prismtech Major Business
2.14.3 Prismtech Product and Services
2.14.4 Prismtech Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.15 Nebbiolo Technologies
2.15.1 Nebbiolo Technologies Details
2.15.2 Nebbiolo Technologies Major Business
2.15.3 Nebbiolo Technologies Product and Services
2.15.4 Nebbiolo Technologies Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
2.16 Oracle
2.16.1 Oracle Details
2.16.2 Oracle Major Business
2.16.3 Oracle Product and Services
2.16.4 Oracle Fog Computing Revenue, Gross Margin and Market Share (2018-2019)
3 Market Competition, by Players
3.1 Global Fog Computing Revenue and Share by Players (2015-2020)
3.2 Market Concentration Rate
3.2.1 Top 5 Fog Computing Players Market Share
3.2.2 Top 10 Fog Computing Players Market Share
3.3 Market Competition Trend
4 Market Size by Regions
4.1 Global Fog Computing Revenue and Market Share by Regions
4.2 North America Fog Computing Revenue and Growth Rate (2015-2020)
4.3 Europe Fog Computing Revenue and Growth Rate (2015-2020)
4.4 Asia-Pacific Fog Computing Revenue and Growth Rate (2015-2020)
4.5 South America Fog Computing Revenue and Growth Rate (2015-2020)
4.6 Middle East & Africa Fog Computing Revenue and Growth Rate (2015-2020)
5 North America Fog Computing Revenue by Countries
5.1 North America Fog Computing Revenue by Countries (2015-2020)
5.2 USA Fog Computing Revenue and Growth Rate (2015-2020)
5.3 Canada Fog Computing Revenue and Growth Rate (2015-2020)
5.4 Mexico Fog Computing Revenue and Growth Rate (2015-2020)
6 Europe Fog Computing Revenue by Countries
6.1 Europe Fog Computing Revenue by Countries (2015-2020)
6.2 Germany Fog Computing Revenue and Growth Rate (2015-2020)
6.3 UK Fog Computing Revenue and Growth Rate (2015-2020)
6.4 France Fog Computing Revenue and Growth Rate (2015-2020)
6.5 Russia Fog Computing Revenue and Growth Rate (2015-2020)
6.6 Italy Fog Computing Revenue and Growth Rate (2015-2020)
7 Asia-Pacific Fog Computing Revenue by Regions
7.1 Asia-Pacific Fog Computing Revenue by Regions (2015-2020)
7.2 China Fog Computing Revenue and Growth Rate (2015-2020)
7.3 Japan Fog Computing Revenue and Growth Rate (2015-2020)
7.4 Korea Fog Computing Revenue and Growth Rate (2015-2020)
7.5 India Fog Computing Revenue and Growth Rate (2015-2020)
7.6 Southeast Asia Fog Computing Revenue and Growth Rate (2015-2020)
8 South America Fog Computing Revenue by Countries
8.1 South America Fog Computing Revenue by Countries (2015-2020)
8.2 Brazil Fog Computing Revenue and Growth Rate (2015-2020)
8.3 Argentina Fog Computing Revenue and Growth Rate (2015-2020)
9 Middle East & Africa Revenue Fog Computing by Countries
9.1 Middle East & Africa Fog Computing Revenue by Countries (2015-2020)
9.2 Saudi Arabia Fog Computing Revenue and Growth Rate (2015-2020)
9.3 UAE Fog Computing Revenue and Growth Rate (2015-2020)
9.4 Egypt Fog Computing Revenue and Growth Rate (2015-2020)
9.5 South Africa Fog Computing Revenue and Growth Rate (2015-2020)
10 Market Size Segment by Type
10.1 Global Fog Computing Revenue and Market Share by Type (2015-2020)
10.2 Global Fog Computing Market Forecast by Type (2019-2024)
10.3 Software Revenue Growth Rate (2015-2025)
10.4 Hardware Revenue Growth Rate (2015-2025)
11 Global Fog Computing Market Segment by Application
11.1 Global Fog Computing Revenue Market Share by Application (2015-2020)
11.2 Fog Computing Market Forecast by Application (2019-2024)
11.3 Security Revenue Growth (2015-2020)
11.4 Intelligent Energy Revenue Growth (2015-2020)
11.5 Intelligent Manufacturing Revenue Growth (2015-2020)
11.6 Traffic Revenue Growth (2015-2020)
11.7 Logistics Revenue Growth (2015-2020)
11.8 Other Revenue Growth (2015-2020)
12 Global Fog Computing Market Size Forecast (2021-2025)
12.1 Global Fog Computing Market Size Forecast (2021-2025)
12.2 Global Fog Computing Market Forecast by Regions (2021-2025)
12.3 North America Fog Computing Revenue Market Forecast (2021-2025)
12.4 Europe Fog Computing Revenue Market Forecast (2021-2025)
12.5 Asia-Pacific Fog Computing Revenue Market Forecast (2021-2025)
12.6 South America Fog Computing Revenue Market Forecast (2021-2025)
12.7 Middle East & Africa Fog Computing Revenue Market Forecast (2021-2025)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
14.3 Disclaimer
14.4 About US

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