Press release
Global Fog Computing Market By Technology Trends and Global Analysis by Top Key Players are Cisco, IBM, Intel, Dell, ARM, ADLINK, AppFog, Cradlepoint, AT&T, Foghorn, Nebbiolo, GE Digital, Microsoft, VIMOC
Market Overview: -The explosive amplitude of IoT, spanning virtually every sphere, has a pivotal role to play in the expansion of fog computing market. Still considered a plausible tech sub-space by mere mortals, this business domain, an inherent extension of the cloud computing industry, is likely to actually emerge as a viable niche vertical, starting 2018, as per the predictions of The US office of National Institute of Standards and Technology (NIST). Subject to its extraordinary ability to support latency-sensitive and vertically-isolated applications by means of providing a scalable, ubiquitous, distributed, and layered network connectivity, storage, and computing, fog aims to simplify processing and IoT infrastructure.
Fog Computing Market is estimated to reach USD 700 million by 2024. Fog computing is changing the way edge networks are being developed. The wireless access point, switches, routers, storage servers, and applications at the edge are converging into single fog nodes. This significantly reduces the system complexities, increases the system manageability and ensures ease of interactions between system and application. The convergence of computing and networking at the edge of the network lead to the development of number of new avenues for the integration of information and operational technologies. It enables new services that cloud computing platforms alone cannot effectively support.
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Top Key Players: -
Some of the major vendors of the fog computing market are Cisco, IBM, Intel, Dell, ARM, ADLINK, AppFog, Cradlepoint, AT&T, Foghorn, Nebbiolo, GE Digital, Microsoft, and VIMOC.
Market share calculation in this report is not done based on companies covered in it. The calculation of fog computing market share is done based on a regional approach and countries covered. On request, additional companies can be covered as well as regional data for particular country / countries can be provided.
Regional Segmentations: -
The smart infrastructure is the major application of fog computing. Increasing digitalization and supportive government initiatives in the developing countries are estimated to be one of the factors that is backing the growth of the market. For instance, in 2014, Sheikh Mohammed, prime minister and vice president of UAE announced Dubai’s smart city project, which focuses on delivering more than 1000 government services via internet by the end of the year 2017. Fog computing can play an effective role in the smart infrastructure market in building control, security and surveillance systems, access control, as well as in environmental monitoring applications.
U.S. will be leading the fog computing market owing to the presence of number of players such as Cisco, IBM, Dell and Microsoft. The increase in R&D activities and application of the technology in healthcare, transportation, and automotive is backing the growth. Asia Pacific is anticipated to grow with highest growth rate in the fog computing market. The growth of the market is attributed to the increase in adoption of cloud services in the region. Initially, the organizations drove the adoption of cloud services due to its cost-effective model, ease of use and speed of implementation.
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Partial Chapter of the Table of Content
Chapter 1. Methodology & Scope
1.1. Methodology
1.1.1. Initial data exploration
1.1.2. Statistical model and forecast
1.1.3. Industry insights and validation
1.1.4. Scope, definition and research parameters
1.2. Data Sources
1.2.1. Primary
1.2.2. Secondary
Chapter 2. Executive Summary
2.1. Fog computing industry 360º synopsis, 2015 - 2024
2.1.1. Business trends
2.1.2. Regional trends
2.1.3. Component trends
2.1.4. Deployment model trends
2.1.5. Application trends
Chapter 3. Fog Computing Industry Insights
3.1. Introduction
3.2. Industry segmentation
3.3. Industry landscape, 2015 - 2024
3.4. Industry ecosystem analysis
3.5. Fog computing architecture analysis
3.6. Fog computing processing features
3.7. Technology & innovation landscape
3.8. Regulatory landscape
3.9. Industry impact forces
3.9.1. Growth drivers
3.9.1.1. Increasing adoption of IoT and M2M devices
3.9.1.2. Growing penetration of cloud computing
3.9.1.3. Enhanced data security & real-time operation by fog computing
3.9.2. Industry pitfalls & challenges
3.9.2.1. Security, reliability, and fault tolerance issues associated with fog computing
3.9.2.2. Complex architecture of decentralized computing
3.10. Growth potential analysis
3.11. Porter's analysis
3.12. PESTEL analysis
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The end-use landscape of fog computing market is rather humongous and versatile, though this does not exactly come as a surprise, given how minutely IoT has brought every object under the umbrella of the Internet. As per reliable estimates, the data analyzed on devices functioning on IoT will soon approach a mammoth 40%. It has also been speculated that by the year 2020, 10% of global data will be generated by edge devices.
This would fuel the demand for highly efficient fog computing solutions that simultaneously deliver holistic intelligence and low latency, subsequently driving fog computing industry size, slated to cross USD 700 million by 2024. Numerous real-time instances of the benefits of this technology have already made inroads in fog computing market – recently, the IoT company Plat One made headlines for having tapped into fog computing for improving data processing management in its 1 million sensors.
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