Fog Computing Market Segmentation & Market Analysis Research Report 2019

Crystal Market Research has added the report on Fog Computing Market for the forecast till 2023, the report comprises of the estimation of the global …

Crystal Market Research has added the report on Fog Computing Market for the forecast till 2023, the report comprises of the estimation of the global Fog Computing Market. The following Industry is shown to progress with a noteworthy rise in the Compound Annual Growth Rate (CAGR) during the forecasted period owing to various factors driving the market. The Fog Computing report provides the data related to the market segmentation, regional outlook, market trends, regional outlook, and competitive outlook.

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The study of the Fog Computing report is done based on the noteworthy research methodology that provides the analytical inspection of the global market based on various segments the market is divided into also the summary and latest size of the market owing to the various outlook possibilities. The report also gives information about the key players of the Fog Computing Industry by different features that include the Fog Computing overview of the companies, the portfolio of the product and also the revenue facts from the foreseen period.

Segmentation by Key Players:

  • Nebbiolo Technologies
  • FogHorn Systems
  • Cisco Systems
  • Cisco Systems
  • IBM and PrismTech

Major Types:

  • Type 1
  • Type 2
  • Type 3

Major Applications:

  • Smart grids
  • Connected healthcare
  • Connected vehicles
  • Smart cities
  • Smart manufacturing

Regional Overview:

The report gives an overview of the Fog Computing Market mainly in the regions of North America, Europe, Asia-Pacific, South America and the Middle East and Africa.

Report Highlights:

1. Fog Computing business report produces value for global level playing competition, which delivers the same position for both the existing giants as well as the new entrees.

2. This report will give you the overall outlook of the entire Fog Computing Industry helps in improving your knowledge.

3. It prepares you a go-to-market strategy to improve Fog Computing organizations among other competitors which makes it completely a helpful research report.

4. Fog Computing Reports helps you to understand the present scenario of the Industry as the report offers past data regarding the market space and makes future projections.

5. You not only get a look at the customized Fog Computing industry segments according to geographical regions but also country or even different manufacturers in the market.

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Inside the “hive-mind”: how AI-powered drone “swarms” can benefit society

There has been a lot of hype recently around emerging technologies from the Internet of Things to artificial intelligence, blockchain and fog computing.
Maciej Kranz, VP at Cisco Systems, explores how a swarm of drones acting as a collective “hive-mind” (through the convergence of the IoT, AI, fog computing and blockchain) may seem futuristic, but is quickly becoming a reality. Inside the “hive-mind”: how AI-powered drone “swarms” can benefit society image

As an analogy, highly social insects such as honeybees, ants and termites are known to communicate so effectively with each other that their massive colonies begin to form a superorganism, appearing to think and act together as one entity toward a common goal. Through the convergence of the IoT, AI, fog computing and blockchain, a swarm of drones can also communicate and make real-time decisions together much like a superorganism.

There has been a lot of hype recently around emerging technologies from the Internet of Things to artificial intelligence, blockchain and fog computing. Typically, we tend to look at them as independent domains or even markets. Topics such as exploding AI’s market size, billions of IoT devices getting connected, dozens of new blockchain use-cases, and the cloud vs. fog debate have been dominating headlines. However, I would recommend that instead of such a technology siloed view, organisations think of these technologies as tools that should be integrated together.

Combined, IoT, AI, blockchain and fog computing are not only improving existing processes but are already starting to transform industries, and create new data-driven business models and revenue streams. Each of these four technologies have a specific role to play. For example, enterprises can connect thousands of sensors and actuators to capture the data such IoT devices generate. Meanwhile, to enable real-time processing of this data, fog computing can extend cloud capabilities closer to the data sources, whether on an oil-rig or in a self-driving vehicle. AI inference engines deployed locally can in turn analyse that data and make instantaneous decisions based on it. And finally, blockchain can record all of the transactions in a distributed ledger, serving as a single source of trust across such systems.

As I was thinking about the convergence of these technologies, it occurred to me that drones can serve as a great example to illustrate this union in action. Drone implementations have gone through several phases: first, as an individual flying machine capturing visuals or information that is uploaded and processed after the mission is completed; second, a drone that transmits alerts, exceptions or decisions during its mission in real-time to the cloud based on the data it captured; and third, as a swarm of drones operating like a superorganism or a “hive-mind,” making real-time decisions together and communicating both with each other and the cloud. The last phase is only possible through the convergence of the IoT, AI, fog computing and blockchain.

Drones as tethered individuals

Businesses across many industries today are exploring the use of drones. In logistics, transportation and retail, companies are using them to increase efficiency in their supply chains, deliver goods and solve the “last mile” problem in e-commerce delivery. In other industries, they are being used to survey open-pit mines, conduct inspections on critical infrastructure and utilities, or monitor crops across large swaths of agricultural land. In each of these use cases, the drones have traditionally been remotely-piloted and operated as individual flying machines. They are often equipped with a variety of sensors used to capture data that is downloaded and analysed after the drone has landed. While these use cases provide great value to businesses, we’re beginning to see businesses move toward the next step in the evolution of drones.

Commercial drones… Ready for take-off?

Commercial drones: the business opportunities they present and why their success is reliant upon trusted data

Drones communicating vertically

The next step has primarily been enabled through the rise of fog computing. This model involves drones flown autonomously and transmitting only relevant data for analysis in real-time. Rather than waiting for the drone to land to download the data it captured, businesses are able to pre-program drones with specific flight plans, allowing them to fly autonomously. As they fly, their IoT-enabled sensors feed data to the fog node on board for processing and analysis and only the exceptions or alerts are transmitted to the cloud. Thus, drones can be now used in applications where time is of the essence, and real-time insights are critical. For example, in the event of a flood, first responders could send a drone into a flood zone to look for stranded survivors. Each drone would be pre-programmed to fly over their designated patch of the flooded area, reporting back sightings of stranded people or animals in real-time. The data can then be “stitched” together and analysed at a central location so emergency response teams can create the optimal evacuation plan.

A swarm of drones acting collectively

The third model that is beginning to emerge, and which I find most intriguing, is where we see multiple drones acting in unison and communicating horizontally with each other, to the degree that they actually begin to form a singular, virtual entity.

As an analogy, highly social insects such as honeybees, ants and termites are known to communicate so effectively with each other that their massive colonies begin to form a superorganism, appearing to think and act together as one entity toward a common goal. Through the convergence of the IoT, AI, fog computing and blockchain, a swarm of drones can also communicate and make real-time decisions together much like a superorganism.

EXCLUSIVE: The drone industry through the eyes of its regulator – the Civil Aviation Authority

Media headlines surrounding the rise of drones are often negative, but the potential for them to transform industries is difficult to deny

For example, in the event of a wildfire, firefighting agencies could send a swarm of drones into the area. Communicating with each other, the drones can share notes as they survey the area and make intelligent decisions on where to drop fire retardant for the greatest impact, based on a multitude of conditions and datasets captured by their IoT-enabled sensors. These conditions could include wind direction and speed, temperature, or the percentage of fire contained, providing a three-dimensional understanding of the topography and where firefighters are currently located. Sharing all of this information across 50 or 100 drones, the swarm can examine the problem from a big picture perspective, making more intelligent and comprehensive decisions in real-time.

The idea of a swarm of drones acting as a collective “hive-mind” through the convergence of the IoT, AI, fog computing and blockchain may seem a bit futuristic, but it is quickly becoming a reality. And though some people may worry about the potentially harmful applications of such systems, I prefer to focus on the many ways these technologies can benefit us. Drones are just one example of the ways that the IoT, AI, fog computing and blockchain can be used together to benefit us as humans and society and I, for one, can’t wait to see what other innovative applications emerge.

Written by Maciej Kranz, vice president of Cisco’s Corporate Technology Group

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Fog Computing Market Opportunities In Key Leading Countries For Business Development 2019

The Fog Computing Market report gives Analysis of incomes, limits and benefits of Key Manufacturers including the market holdings, offers of units, …

Fog Computing

The Fog Computing Market report gives Analysis of incomes, limits and benefits of Key Manufacturers including the market holdings, offers of units, income dispersion, and the measures that have been taken to overcome the issues faced.

Fog Computing Market analyses the report based on customer demand, supply and demand status, competitive market scenario and industry policies The Fog Computing Market report covers all the minute details related to the industry like technological developments, growth opportunities, threats to market growth, innovative strategies and futuristic market trends.

Fog Computing market report provides the comprehensive analysis of the market, based on leading players of present, past of Fog Computing Industry and resourceful data that will act as a supportive guide for leading players.

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Top Key Players Covered in this report: ARM Holdings,Cisco Systems,Cradlepoint,Dell,FogHorn Systems,Fujitsu,GE Digital,Hitachi Data Systems,IBM,Intel,Microsoft,Nebbiolo Technologies,Oracle,Prismtech,Schneider Electric Software,Toshiba

Fog Computing Market Segment by ProductTypes considering Production, Revenue (Value), Price Trends:

  • Software
  • Hardware
  • Fog Computing Market Segment by Applications considering Consumption Growth Rate and Market Share:

  • Security
  • Intelligent Energy
  • Intelligent Manufacturing
  • The Traffic
  • Logistics
  • Other
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    In this study, the years considered to estimate the market size of Fog Computing are as follows:

    • History Year: 2014-2018
    • Base Year: 2018
    • Estimated Year: 2019
    • Forecast Year 2019 to 2025

    Scope of Fog Computing Market: Geographically, this Fog Computing report is split into crucial positions, size, production, consumption, revenue (Mn/Bn USD), and also market share and increase space of Fog Computing industry in these regions, by 2025, covering United States, Japan, China, India, Southeast Asia, Europe as well as its share and also CAGR for its forecast interval.

    TOC of Fog ComputingMarket Report Contains: –

    1. Market Overview: Product Overview, Classification, Applications, Regional Analysis, Industry Development Factors Analysis, Consumer Behaviour Analysis.
    2. Fog Computing Market Analysis by Region: Consumption of Fog Computing Industry at Present Situation Analysis in USA, Europe, Japan, China, India, Southeast Asia regions.
    3. Fog Computing Market Upstream and Downstream Analysis: Key Raw Materials Suppliers and Price Analysis, Key Raw Materials Production and Consumption Analysis, Manufacturing Process Analysis, Downstream Buyers Analysis, Industry Chain Analysis, Procurement Method Analysis, Customs Tariff Analysis.
    4. Fog Computing Market Forecast (2019-2025)

    What Report exactly offers to the buyers?

    • To gain insightful analyses of the Fog Computing Industry and have comprehensive understanding of the global market and its commercial landscape.
    • Market strategies that are being adopted by leading respective organizations
    • Get a detailed representation of the Fog Computing market.
    • The assessed growth rate, together with Fog Computing Market size and share over the forecast period 2019-2025.

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    In a word, the Fog Computing Market report provides major statistics on the state of the Fog Computing industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

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    Edge Computing Market to Remain Balanced During the Forecast Period 2025

    Fog Computing. Request For Report TOC: https://www.researchreportinsights.com/report/TOC/120124666/Edge-Computing-Market.

    Market Overview:

    Global Edge Computing market is projected to grow at around CAGR of XX% to reach approximately USD XX billion by 2025, Edge Computing as “pushing the frontier of computing applications, data, and services away from centralized nodes to the logical extremes of a network. It enables analytics and data gathering to occur at the source of the data. It is a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data. Edge computing architecture is ideally suited for a number of situations. This includes poor connectivity of IoT devices, wherein IoT devices lack seamless connectivity to a central cloud.

    Market Dynamics:

    One of the major driving factor of Edge Computing Market is proliferation of IOT. Internet of things (IoT) is a technology evolution which has changed every aspect of a human life. The IoT devices such as smartphone, smart watch, and digital wearable, virtual technology such as augmented reality /virtual reality among others has changed person’s routine life and increased his routine task frequency. Further, technology evolution in IT has transformed the enterprise work performance and has bring more flexibility and speed in completing daily task by introducing cloud computing. Ubiquitous network, connected devices, process optimization, sensor driven decision analytics and marketing automation are some of the benefits of IoT for enterprises. With these benefits, IoT has been adopted by various industries such as healthcare, home, entertainment, and transportation.

    Market Players:

    The Edge Computing market is dominated by a few global players, and comprises several regional players. Some of the key players operating in the Edge Computing ecosystem are Microsoft Corporation, IBM Corporation, Cisco Systems Inc., Google Inc., Hewlett Packard Enterprise Company, Intel Corp, Schneider Electric SE, Nokia Corporation, Huawei Technologies Co. Ltd., Aricent Inc. and other.

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    Market Segmentation:

    Edge Computing market is segmented based on Application, End-Users, Technology, Deployment, Component and geography.

    Edge Computing market is segmented into North America, Europe, Asia-Pacific and Rest of the world.

    Market segmented based on Application:

    – IOT

    – Data Caching

    – Video Analytics

    – Environment Monitoring

    Market segmented based on End-Users:

    – Surveillance

    – Automotive

    – Gaming

    – Healthcare

    – Education

    – Others

    Market segmented based on Deployment:

    – On-Premise

    – On-Cloud

    Market segmented based on Component:

    – Hardware

    – Software

    Market segmented based on Technology:

    – Mobile Edge Computing

    – Fog Computing

    Request For Report TOC: https://www.researchreportinsights.com/report/TOC/120124666/Edge-Computing-Market

    Market segmented based on region:

    – North America

    • US

    • Canada

    • Mexico

    – Europe

    • UK

    • Germany

    • France

    • Rest of Europe

    – Asia-Pacific

    • China

    • Japan

    • India

    • Australia

    • Rest of Asia-Pacific

    – Latin America

    • Brazil

    • Rest of Latin America

    – Middle East and Africa (MEA)

    • South Africa

    • Saudi Arabia

    • Rest of MEA

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    Fog Computing Market is poised to witness substantial growth till 2024, automotive, transportation …

    Global Fog Computing Market will be benefited by the growing adoption of IoT and M2M devices. IoT is gradually bringing every object in the internet …

    Global Fog Computing Market will be benefited by the growing adoption of IoT and M2M devices. IoT is gradually bringing every object in the internet environment, and as the billions of devices get connected to internet, it will become difficult to use centralized servers. Furthermore, there are several applications of the IoT devices in healthcare and energy & utilities sector that require low latency, and any delay in transferring data can hamper the performance. This give rise to the requirement of decentralized computing to scale up the operations.

    The manufacturing sector is also one of the major end-users of the fog computing market solutions and holds huge potential for the industry revenue. The fog computing market growth can be credited to the increasing demand for process automation in the manufacturing sector to gain an edge over competitors. Furthermore, fog computing solutions enhance the operational efficiency by providing actionable insights and real-time monitoring of the operations, which is estimated to increase the adoption among manufacturing plants.

    Global Fog Computing Market is set to exceed USD 700 million by 2024. Increasing penetration of cloud computing platforms is fostering the fog computing market growth. Over the past decade, cloud computing has emerged as a driving force in the IT ecosystem. It is estimated that approximately 80% of the enterprises are utilizing the capabilities of the cloud computing platform in their business and the number is further anticipated to increase in the future.

    To access a sample copy or view the fog computing market report in detail along with the table of contents, please click the link below: https://www.gminsights.com/request-sample/detail/2295

    The growth of the fog computing market is attributed to the paradigm shift in the U.S. healthcare reimbursement systems from fee-for-service model to the outcome-based reimbursement model. This will encourage healthcare organizations to adopt IoT devices to reduce power consumption, improve operational efficiency, reduce cost, and enhance overall performance of business. Furthermore, healthcare applications are latency sensitive and requires real-time analysis, any delay in transmitting data leads to serious consequences. Since fog computing enables the analysis of data at the edge of devices, its adoption among healthcare organization is further estimated to increase.

    As cloud computing platforms offers computing, storage, and networking services across all the business sectors, it frees the customer and enterprises from the specifications of various details, which may result issues in latency sensitive applications in sector such as healthcare, energy & utility. These inherent challenges of cloud computing are forecast to positively impact the fog computing market adoption.

    The U.S. fog computing market is the dominant country in the business, since it is home to numerous key vendors such as Cisco, Dell, IBM and Microsoft. Increasing R&D activities on this model and use of the technology in sectors especially automotive, transportation, and healthcare in the country is also bolstering the growth.

    Asia Pacific fog computing market is estimated to be the fastest growing region owing to the increasing adoption of the cloud computing platform in countries such as India and China. Furthermore, rapidly developing smart infrastructure such as smart cities and government initiatives in the developing countries are also estimated to have significant impact on the growth of the fog computing market.

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