Edge Computing Market, By Component (Hardware, Solutions, Platform and Services), By Organization Size (Small and Medium Enterprises and Large Enterprises), By Application (Smart Cities, Data Caching, Analytics, Location Services, Environmental Monitoring, Optimized Local Content, Augmented Reality, and Others (Asset Tracking and Video Surveillance)), By End-use Industry (Government and Public, Manufacturing, Media and Entertainment, Healthcare, Telecom and IT, Transportation, Energy and Utilities, Retail, and Others (Hospitality, BFSI, and Education)), and By Region - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2018-2026

  • To Be Published : Aug 2018 |
  • Format : CMI Insight PPT Format CMI Insight PDF Format

Edge computing is a technique of enhancing cloud computing systems by processing data at the edge of the network, near the source of the data. The key beneficial factor of edge computing is that it reduces the time for operation to milliseconds and reduces load on the network. Transmission of large amounts of loads creates tremendous load on the network. Hence, edge computing processes all data at the edge of its source and analysis the data and sending only valuable information on it, instead of frequently broadcasting data over the network. For example, smart thermostat transmits data only when the temperature rises or falls from the acceptable limits.

One of the major factors that is responsible for the global edge computing market growth is the proliferation of Internet of Things (IoT) technology. Increasing adoption of smartphones, smart watches, and intelligent wearable devices, among others are the major factors driving the demand for IoT technology. For instance, according to Coherent Market Insights analysis, in 2016, over 68% of the global population were mobile phone users, of which around 2.5 billion were smartphone users.

Advancements in technology and growing adoption of 2G, 3G, and 4G long-term evolution (LTE) wireless networks are in turn,  propelling demand for IoT technologies. This is subsequently boosting growth of the global edge computing market. These cellular networks enable connectivity and communications to cyber-crime sensitive activities such as exchange of real-time information, data, and online transactions. The demand for IoT security solutions has increasing, to ensure enhanced security and flexibility of such online communication. According to Internet World Stats, as of June 2017, among the global population of7.5 billion, the total number of Internet users accounted for 3.9 billion.

Furthermore, increasing accessibility to internet and execution of government regulatory policies to increase the penetration of IoT in several verticals like automotive, healthcare, retail, BFSI and so on are expected to favor growth of the market. For instance, in 2017, Brazilian government launched, Internet of Things: an action plan for Brazil, between 2018 and 2022, to enhance their economy and development in four different areas namely, healthcare, agribusiness, smart cities, and manufacturing. This in turn, is expected to boost growth of edge computing market over the forecast period.

However, the challenge of configuration is the major factor expected to restraint growth of the edge computing market. Not changing default password on each edge computing devices and consistently neglecting to update firmware may unintentionally create security holes, which in turn, makes these devices highly susceptible to cyber terrorism.

Edge Computing Market Taxonomy:

On the basis of component, the global edge computing market is segmented into:

  • Hardware
  • Solutions
  • Platform
  • Services

On the basis of organization size, the global edge computing market is segmented into:

  • Small and Medium Enterprises
  • Large Enterprises

On the basis of application, the global edge computing market is segmented into:

  • Smart Cities
  • Data Caching
  • Analytics
  • Location Services
  • Environmental Monitoring
  • Optimized Local Content
  • Augmented Reality
  • Others (Asset Tracking and Video Surveillance)

On the basis of end-user industry, the global edge computing market is segmented into:

  • Government and Public
  • Manufacturing
  • Media and Entertainment
  • Healthcare
  • Telecom and IT
  • Transportation
  • Energy and Utilities
  • Retail
  • Others (Hospitality, BFSI, and Education)

Edge Computing Market: Regional Insights

The global edge computing market has been segmented on the basis of regions into North America, Europe, Asia-Pacific, Latin America, and Middle East, and Africa. The market for edge computing in North America is expected to witness significant growth during the forecast period. This growth is attributed to developing IT infrastructure, which is compatible with 4G LTE and 5G networks. This in turn, propels the adoption of broadband connectivity and increases the number of smartphones subscribers in this region. According to Coherent Market Insights’ analysis, in 2016, over 88% of the U.S. population had access to the Internet, which accounts for around 280 million of the U.S. population. Furthermore, in November 2016, around 78% of the U.S. population were recorded using smartphones. This indicates increasing demand for IoT technology, which in turn, is expected to boost growth of the regional edge computing market.

Edge Computing Market: Competitive Background

Major players operating in the global edge computing market include Microsoft Corporation, IBM Corporation, Cisco Systems Inc., Google Inc., Hewlett Packard Enterprise Company, Intel Corporation, Schneider Electric SE, Nokia Corporation, Huawei Technologies Co. Ltd., and Aricent Inc.

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


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Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.
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Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization:

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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