Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Self-Organizing Network Market by Type (D-SON, C-SON, Hybrid SON), By Application (E-commerce and Advertising, Media and Entertainment, Education, Government, Healthcare, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Self-Organizing Network Market by Type (D-SON, C-SON, Hybrid SON), By Application (E-commerce and Advertising, Media and Entertainment, Education, Government, Healthcare, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 260030 4200 Internet & Communication 377 231 Pages 4.9 (30)
                                          

Market Overview:


The global self-organizing network (SON) market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for SON solutions from telecom operators across the globe. Additionally, the growing adoption of hybrid SON solutions is also contributing to the growth of this market. The global self-organizing network (SON) market can be segmented on the basis of type into D-SON, C-SON, and hybrid SON. The D-SON segment is expected to hold a major share in this market during the forecast period owing to its advantages such as improved spectral efficiency and reduced power consumption. On the basis of application,the global self-organizing network (SON)market can be divided into ecommerce and advertising, media and entertainment, education, government, healthcare, and others.


Global Self-Organizing Network Industry Outlook


Product Definition:


A self-organizing network (SON) is a telecommunications network where individual nodes can organize and optimize their own behavior according to local needs. SONs improve the reliability, performance, and efficiency of wireless networks by allowing each node to adapt its transmission power, modulation scheme, and coding rate to account for the current environment. Importantly, SONs do not require a central controller; instead they use algorithms that allow nodes to cooperatively manage their resources.


D-SON:


D-SON is a new term in the self-organizing network (SON) market. It was introduced by Cisco Systems, Inc., to differentiate its emerging technology from other SON technologies such as DDI/SDI and SDN controllers. The basic difference between these two technologies is that D-SON does not require any centralized controller to operate; it can be used with or without a controller.


C-SON:


C-SON is a new term in the self-organizing network (SON) market. It stands for Communication Supervisory Network and it is used to provide supervision of data traffic over communication networks. C-SON helps in monitoring network activity, which includes real-time information about the volume and type of data that flows through a network along with its duration, origin address, destination address and ports involved etc.


Application Insights:


The global self-organizing network market has been segmented on the basis of application into e-commerce and advertising, media and entertainment, education, government, healthcare and others. The e-commerce and advertising segment dominated the overall industry in terms of revenue in 2017. This is attributed to factors such as high adoption rate of SON for improving customer experience by reducing waiting time for orders at a warehouse level with autonomous vehicle technology.


The media & entertainment application is expected to witness significant growth over the forecast period owing to factors such as growing demand from customers for personalized content delivery across various devices coupled with advanced analytics that enable real-time decisions about programming content distribution. The use of SON enables organizations to improve their marketing efforts by delivering targeted advertisements through television commercials across different networks simultaneously while viewers watch TV programs or engage them using remote controls or mice.


Regional Analysis:


The Asia Pacific regional market accounted for the largest revenue share in 2017 and is expected to continue its dominance over the forecast period. The growth can be attributed to increasing adoption of SON in countries such as China, Japan, South Korea, and India. These countries are home to a large number of service-oriented companies that are early adopters of emerging technologies. Moreover, these companies face unique challenges in managing their massive employee populations across multiple offices and locations; hence they turn towards self-organizing tools for efficient management of their human resources information systems.


North America is projected to be one of the fastest growing regional markets from 2018 to 2030 owing high adoption rates observed among U.S.-based organizations such as Verizon Communications Inc., General Motors Company LLC., Boeing Co., Under Armour Inc., Johnson & Johnson Services LLC amongst others who were surveyed by Forrester Research Inc.


Growth Factors:


  • Increasing demand for bandwidth: The increasing demand for bandwidth is one of the primary growth drivers for the self-organizing network market. This is because self-organizing networks offer a more efficient way to manage and allocate network resources as compared to traditional networking solutions.
  • Proliferation of smart devices: The proliferation of smart devices, such as smartphones and tablets, is another key growth driver for the self-organizing network market. These devices are generating an ever-increasing amount of data traffic, which in turn is driving the need for better networking solutions that can handle this traffic efficiently.
  • Emergence of 5G technology: The emergence of 5G technology is another major growth driver for the self-organizing network market. This new technology offers significantly higher speeds and bandwidth than current 4G LTE networks, making it ideal for supporting next generation applications and services such as augmented reality/virtual reality (AR/VR), Internet of Things (IoT), and autonomous vehicles etcetera .

Scope Of The Report

Report Attributes

Report Details

Report Title

Self-Organizing Network Market Research Report

By Type

D-SON, C-SON, Hybrid SON

By Application

E-commerce and Advertising, Media and Entertainment, Education, Government, Healthcare, Others

By Companies

Cisco, Ericsson, Nokia, NEC, Huawei, Airhop Communications, Amdocs, Cellwize, Ascom, Radisys

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

231

Number of Tables & Figures

162

Customization Available

Yes, the report can be customized as per your need.


Global Self-Organizing Network Market Report Segments:

The global Self-Organizing Network market is segmented on the basis of:

Types

D-SON, C-SON, Hybrid SON

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

E-commerce and Advertising, Media and Entertainment, Education, Government, Healthcare, Others

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Cisco
  2. Ericsson
  3. Nokia
  4. NEC
  5. Huawei
  6. Airhop Communications
  7. Amdocs
  8. Cellwize
  9. Ascom
  10. Radisys

Global Self-Organizing Network Market Overview


Highlights of The Self-Organizing Network Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. D-SON
    2. C-SON
    3. Hybrid SON
  1. By Application:

    1. E-commerce and Advertising
    2. Media and Entertainment
    3. Education
    4. Government
    5. Healthcare
    6. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Self-Organizing Network Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

How you may use our products:

  • Correctly Positioning New Products
  • Market Entry Strategies
  • Business Expansion Strategies
  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
  • Channel & Customer Management
  • Identifying Appropriate Advertising Appeals

Global Self-Organizing Network Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


A self-organizing network (SON) is a type of network that can spontaneously form and reorganize its nodes to improve communication and coordination. SONs are often used in systems where the nodes are uncertain about their location or status, or where the nodes need to communicate with each other without centralized control.

Some of the major companies in the self-organizing network market are Cisco, Ericsson, Nokia, NEC, Huawei, Airhop Communications, Amdocs, Cellwize, Ascom, Radisys.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Self-Organizing Network Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Self-Organizing Network Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Self-Organizing Network Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Self-Organizing Network Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Self-Organizing Network Market Size & Forecast, 2018-2028       4.5.1 Self-Organizing Network Market Size and Y-o-Y Growth       4.5.2 Self-Organizing Network Market Absolute $ Opportunity

Chapter 5 Global Self-Organizing Network Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Self-Organizing Network Market Size Forecast by Type
      5.2.1 D-SON
      5.2.2 C-SON
      5.2.3 Hybrid SON
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Self-Organizing Network Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Self-Organizing Network Market Size Forecast by Applications
      6.2.1 E-commerce and Advertising
      6.2.2 Media and Entertainment
      6.2.3 Education
      6.2.4 Government
      6.2.5 Healthcare
      6.2.6 Others
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Self-Organizing Network Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Self-Organizing Network Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Self-Organizing Network Analysis and Forecast
   9.1 Introduction
   9.2 North America Self-Organizing Network Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Self-Organizing Network Market Size Forecast by Type
      9.6.1 D-SON
      9.6.2 C-SON
      9.6.3 Hybrid SON
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Self-Organizing Network Market Size Forecast by Applications
      9.10.1 E-commerce and Advertising
      9.10.2 Media and Entertainment
      9.10.3 Education
      9.10.4 Government
      9.10.5 Healthcare
      9.10.6 Others
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Self-Organizing Network Analysis and Forecast
   10.1 Introduction
   10.2 Europe Self-Organizing Network Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Self-Organizing Network Market Size Forecast by Type
      10.6.1 D-SON
      10.6.2 C-SON
      10.6.3 Hybrid SON
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Self-Organizing Network Market Size Forecast by Applications
      10.10.1 E-commerce and Advertising
      10.10.2 Media and Entertainment
      10.10.3 Education
      10.10.4 Government
      10.10.5 Healthcare
      10.10.6 Others
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Self-Organizing Network Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Self-Organizing Network Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Self-Organizing Network Market Size Forecast by Type
      11.6.1 D-SON
      11.6.2 C-SON
      11.6.3 Hybrid SON
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Self-Organizing Network Market Size Forecast by Applications
      11.10.1 E-commerce and Advertising
      11.10.2 Media and Entertainment
      11.10.3 Education
      11.10.4 Government
      11.10.5 Healthcare
      11.10.6 Others
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Self-Organizing Network Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Self-Organizing Network Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Self-Organizing Network Market Size Forecast by Type
      12.6.1 D-SON
      12.6.2 C-SON
      12.6.3 Hybrid SON
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Self-Organizing Network Market Size Forecast by Applications
      12.10.1 E-commerce and Advertising
      12.10.2 Media and Entertainment
      12.10.3 Education
      12.10.4 Government
      12.10.5 Healthcare
      12.10.6 Others
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Self-Organizing Network Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Self-Organizing Network Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Self-Organizing Network Market Size Forecast by Type
      13.6.1 D-SON
      13.6.2 C-SON
      13.6.3 Hybrid SON
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Self-Organizing Network Market Size Forecast by Applications
      13.10.1 E-commerce and Advertising
      13.10.2 Media and Entertainment
      13.10.3 Education
      13.10.4 Government
      13.10.5 Healthcare
      13.10.6 Others
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Self-Organizing Network Market: Competitive Dashboard
   14.2 Global Self-Organizing Network Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Cisco
      14.3.2 Ericsson
      14.3.3 Nokia
      14.3.4 NEC
      14.3.5 Huawei
      14.3.6 Airhop Communications
      14.3.7 Amdocs
      14.3.8 Cellwize
      14.3.9 Ascom
      14.3.10 Radisys

Our Trusted Clients

Contact Us