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Self Organizing Network & Optimization Software Market 2030

Self-organizing Network and Optimization Software Market

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Segments - by Network Types (Centralized SONs [Manual Open Loop and Automated Closed-loop] and Distributed SONs), Network Technology (2G, 3G, and 4G or LTE) and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2021 – 2028

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Author :

Raksha Sharma

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Amulya Agarwal

Editor :

Shruti Bhat

Report Description

The global self-organizing network and optimization software market is anticipated to expand at a substantial CAGR during the forecast period, 2021 – 2028. The growth of the market is attributed to the rapidly increasing cellular traffic and growing number of mobile phone users.

Self-organizing networks (SONs) are advanced systems that offer effective network activities by operating, optimizing, and configuring congested traffic to make them easier to manage and automate. The key functions of the system include changes in propagation characteristics, traffic patterns, and network deployments that can help to optimize communication networks. Under congested traffic conditions, SONs provide effective transmission by providing capacity-based optimization or a load balancing. This optimization software, in turn, offers an efficient distribution of network traffic across multiple resources to enhance network efficiency and network self-healing.

Market Trends, Drivers, Restraints, and Opportunities:

Some SONs benefit such as improved user experience and lower operating costs of network service are key factors that can drive market growth.
Wide expansion of 2G and 3G networks by service providers and increasing number of mobile phone users are expected to boost market growth during the forecast period.
The inability of conventional systems to handle network complexities combined with the increasing complexities of 3G and LTE networks present key driving factors for the market.
High cost of the installation and lack of expert operators of the network system are key challenging factors that can hamper the market growth.
R&D activities and technological advancement that help to produce innovative self-organizing network systems are key opportunities for the market expansion in the coming years.

Scope of the Report

The report on the global self-organizing network and optimization software market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes	Details
Report Title	Self-organizing Network and Optimization Software Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast
Base Year	2020
Historic Data	2018–2019
Forecast Period	2021–2028
Segmentation	Network Types (Centralized SONs [Manual Open Loop and Automated Closed-loop] and Distributed SONs) and Network Technology (2G, 3G, and 4G or LTE)
Regional Scope	Asia Pacific, North America, Latin America, Europe, and Middle East & Africa
Report Coverage	Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast
Key Players Covered in the Report	Cisco Systems Inc., Amdocs Ltd., Ericsson, Nokia Solutions and Networks, Reverb Networks, Huawei Technologies Co. Ltd., Cellwize Wireless Technologies Pte. Ltd., and Eden Rock Communications.

Global Self-organizing Network and Optimization Software Market Segment Insights

LTE segment is expected to grow at a rapid pace

Based on network technology, the global self-organizing network and optimization software market is divided into 2G, 3G, and 4G or LTE. The LTE segment accounted for a key share of the market in 2020 and is anticipated to expand at a rapid pace during the forecast period. The LTE of cellular communications provides significantly more bandwidth, easy operation, and implementation of a wide range of new applications. With the rise in network capacity, network management helps to facilitate the need for better operations and operational support systems. As SON a newer technology, it is acting as a key catalyst for developing operational support structures for LTE networks.

C-SONs segment is expected to register at a substantial CAGR

On the basis of network types, the global self-organizing network and optimization software market is bifurcated into centralized SONs (C-SONs) and Distributed SONs (D-SONs). The C-SONs segment is further segmented into manual open loop and automatic closed-loop. The C-SONs segment is anticipated to expand at a substantial CAGR during the forecast period owing to increased adoption of C-SONs by various network operators due to its easy handling of several different networks under a central system.

North America is expected to constitute a major share

In terms of regions, the global self-organizing network and optimization software market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is expected to constitute a major share of the market due to increasing use of SONs apps and early developed of innovative network infrastructure especially in the US. However, the market in Asia Pacific is anticipated to register a significant CAGR during the forecast period due to increased adoption of LTE in cellular networks, especially in countries such as China and India.

Segments

The global self-organizing network and optimization software market has been segmented on the basis of

Network Types

Centralized SONs (C-SONs)
- Manual Open Loop
- Automated Closed-loop
Distributed SONs (D-SONs)

Network Technology

2G
3G
4G or LTE

Regions

Asia Pacific
North America
Latin America
Europe
Middle East & Africa

Key Players

Cisco Systems Inc.
Amdocs Ltd.
Ericsson (Sweden)
Nokia Solutions and Networks
Reverb Networks
Huawei Technologies Co. Ltd.
Cellwize Wireless Technologies Pte. Ltd.
(Singapore) and Eden Rock Communications

Competitive Landscape

Some of the key players competing in the self-organizing network and optimization software market include Cisco Systems Inc., Ericsson, Reverb Networks, Amdocs Ltd., Cellwize Wireless Technologies Pte. Ltd., Eden Rock Communications, Huawei Technologies Co. Ltd., and Nokia Solutions and Networks. To expand their market share, these companies are constantly engaged in various market tactics such as product launches, acquisitions, alliances, collaborations, and contracts.

Global Self Organizing Network And Optimization Software Market Key Players

Table Of Content

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Self-organizing Network and Optimization Software Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. Self-organizing Network and Optimization Software Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. Self-organizing Network and Optimization Software Market - Supply Chain
  4.5. Global Self-organizing Network and Optimization Software Market Forecast
     4.5.1. Self-organizing Network and Optimization Software Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. Self-organizing Network and Optimization Software Market Size (000â€™ Units) and Y-o-Y Growth
     4.5.3. Self-organizing Network and Optimization Software Market Absolute $ Opportunity
5. Global Self-organizing Network and Optimization Software Market Analysis and Forecast by Types
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by Types
     5.2.2. Y-o-Y Growth Projections by Types
  5.3. Self-organizing Network and Optimization Software Market Size and Volume Forecast by Types
     5.3.1. Centralized SONs (C-SONs)
     5.3.2. Distributed SONs (D-SONs)
  5.4. Absolute $ Opportunity Assessment by Types
  5.5. Market Attractiveness/Growth Potential Analysis by Types
6. Global Self-organizing Network and Optimization Software Market Analysis and Forecast by Region
  6.1. Market Trends
  6.2. Introduction
     6.2.1. Basis Point Share (BPS) Analysis by Region
     6.2.2. Y-o-Y Growth Projections by Region
  6.3. Self-organizing Network and Optimization Software Market Size and Volume Forecast by Region
     6.3.1. North America
     6.3.2. Latin America
     6.3.3. Europe
     6.3.4. Asia Pacific
     6.3.5. Middle East and Africa (MEA)
  6.4. Absolute $ Opportunity Assessment by Region
  6.5. Market Attractiveness/Growth Potential Analysis by Region
  6.6. Global Self-organizing Network and Optimization Software Demand Share Forecast, 2019-2026
7. North America Self-organizing Network and Optimization Software Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
  7.2. North America Self-organizing Network and Optimization Software Market Size and Volume Forecast by Country
     7.2.1. U.S.
     7.2.2. Canada
  7.3. Absolute $ Opportunity Assessment by Country
  7.4. North America Self-organizing Network and Optimization Software Market Size and Volume Forecast by Types
     7.4.1. Centralized SONs (C-SONs)
     7.4.2. Distributed SONs (D-SONs)
  7.5. Basis Point Share (BPS) Analysis by Types
  7.6. Y-o-Y Growth Projections by Types
  7.7. Market Attractiveness/Growth Potential Analysis
     7.7.1. By Country
     7.7.2. By Product Type
     7.7.3. By Application
  7.8. North America Self-organizing Network and Optimization Software Demand Share Forecast, 2019-2026
8. Latin America Self-organizing Network and Optimization Software Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Latin America Average Pricing Analysis
  8.2. Latin America Self-organizing Network and Optimization Software Market Size and Volume Forecast by Country
      8.2.1. Brazil
      8.2.2. Mexico
      8.2.3. Rest of Latin America
   8.3. Absolute $ Opportunity Assessment by Country
  8.4. Latin America Self-organizing Network and Optimization Software Market Size and Volume Forecast by Types
     8.4.1. Centralized SONs (C-SONs)
     8.4.2. Distributed SONs (D-SONs)
  8.5. Basis Point Share (BPS) Analysis by Types
  8.6. Y-o-Y Growth Projections by Types
  8.7. Market Attractiveness/Growth Potential Analysis
     8.7.1. By Country
     8.7.2. By Product Type
     8.7.3. By Application
  8.8. Latin America Self-organizing Network and Optimization Software Demand Share Forecast, 2019-2026
9. Europe Self-organizing Network and Optimization Software Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Europe Average Pricing Analysis
  9.2. Europe Self-organizing Network and Optimization Software Market Size and Volume Forecast by Country
     9.2.1. Germany
     9.2.2. France
     9.2.3. Italy
     9.2.4. U.K.
     9.2.5. Spain
     9.2.6. Russia
     9.2.7. Rest of Europe
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Europe Self-organizing Network and Optimization Software Market Size and Volume Forecast by Types
     9.4.1. Centralized SONs (C-SONs)
     9.4.2. Distributed SONs (D-SONs)
  9.5. Basis Point Share (BPS) Analysis by Types
  9.6. Y-o-Y Growth Projections by Types
  9.7. Market Attractiveness/Growth Potential Analysis
     9.7.1. By Country
     9.7.2. By Product Type
     9.7.3. By Application
  9.8. Europe Self-organizing Network and Optimization Software Demand Share Forecast, 2019-2026
10. Asia Pacific Self-organizing Network and Optimization Software Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Asia Pacific Average Pricing Analysis
  10.2. Asia Pacific Self-organizing Network and Optimization Software Market Size and Volume Forecast by Country
     10.2.1. China
     10.2.2. Japan
     10.2.3. South Korea
     10.2.4. India
     10.2.5. Australia
     10.2.6. Rest of Asia Pacific (APAC)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Asia Pacific Self-organizing Network and Optimization Software Market Size and Volume Forecast by Types
     10.4.1. Centralized SONs (C-SONs)
     10.4.2. Distributed SONs (D-SONs)
  10.5. Basis Point Share (BPS) Analysis by Types
  10.6. Y-o-Y Growth Projections by Types
  10.7. Market Attractiveness/Growth Potential Analysis
     10.7.1. By Country
     10.7.2. By Product Type
     10.7.3. By Application
  10.8. Asia Pacific Self-organizing Network and Optimization Software Demand Share Forecast, 2019-2026
11. Middle East & Africa Self-organizing Network and Optimization Software Market Analysis and Forecast
  11.1. Introduction
     11.1.1. Basis Point Share (BPS) Analysis by Country
     11.1.2. Y-o-Y Growth Projections by Country
     11.1.3. Middle East & Africa Average Pricing Analysis
  11.2. Middle East & Africa Self-organizing Network and Optimization Software Market Size and Volume Forecast by Country
     11.2.1. Saudi Arabia
     11.2.2. South Africa
     11.2.3. UAE
     11.2.4. Rest of Middle East & Africa (MEA)
  11.3. Absolute $ Opportunity Assessment by Country
  11.4. Middle East & Africa Self-organizing Network and Optimization Software Market Size and Volume Forecast by Types
     11.4.1. Centralized SONs (C-SONs)
     11.4.2. Distributed SONs (D-SONs)
  11.5. Basis Point Share (BPS) Analysis by Types
  11.6. Y-o-Y Growth Projections by Types
  11.7. Market Attractiveness/Growth Potential Analysis
     11.7.1. By Country
     11.7.2. By Product Type
     11.7.3. By Application
  11.8. Middle East & Africa Self-organizing Network and Optimization Software Demand Share Forecast, 2019-2026
12. Competition Landscape
  12.1. Global Self-organizing Network and Optimization Software Market: Market Share Analysis
  12.2. Self-organizing Network and Optimization Software Distributors and Customers
  12.3. Self-organizing Network and Optimization Software Market: Competitive Dashboard
  12.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     12.4.1. Cisco Systems Inc.
     12.4.2. Amdocs Ltd.
     12.4.3. Ericsson (Sweden)
     12.4.4. Nokia Solutions and Networks
     12.4.5. Reverb Networks
     12.4.6. Huawei Technologies Co. Ltd.
     12.4.7. Cellwize Wireless Technologies Pte. Ltd.

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