Telecom Order Management Market, by Network Type (Wireline and Wireless) by Solution (Customer Order Management, Service Order Management, and Service Inventory Management), by Component Type (Solution and Services), by Deployment Type (On Premises and Cloud Premises), and by Geography - Global Industry Insights, Trends, Opportunity Analysis, 2015-2026

  • To Be Published : Jul 2019 |
  • Format : CMI Insight PPT Format CMI Insight PDF Format

Telecom Order Management is a solution that automates and streamlines order processing for telecom service providers. It involves tasks such as negotiations, installation, change management, and inventory control. It involves product catalogue, order management, lead management, provisioning, serviceability, and compatibility characteristic, which are examined before processing of order.

The major advantages provided by the telecom order management is that it help in cutting down the cost associated with the operations for companies, as order management processes account for a sizeable proportion of operating costs of companies. Hence, effective order management help in reducing the customer attrition. Therefore, order management adopted by the telecom industries is another factor propelling growth of the market.

Increasing demand for streamlining business process for managing the stiff competition is one of major factor driving growth of the market

The telecom sector is highly competitive. In order to cope with competition, enterprises are focused on streamlining the business process. Order management helps in streamlining the business process of telecom sector by reducing the IT cost, enhancing the security, and eliminating the human error. Therefore, the telecom sector utilizes the telecom order management in order to synchronize databases, which help in reducing the development efforts along with enhancing the performance of the players, which in turn is driving growth of the telecom order management market.

Global Telecom Order Management: Taxonomy

By Network Type:

  • Wireline Network
  • Wireless Network

The wireless network type is projected to witness highest growth during the forecast period. The networking helps companies to maintain the strong foothold in the market. Currently, organizations are dependent on networking modes, as it provides fast accessing to the document more effectively. Thus wireless networks enable users to access information from any location within the range of their wireless connection, which increases the productivity of employees in the organization.

By Solution:

  • Custom order management
  • Service order management
  • Service inventory management

By Deployment Type:

  • On-Premises
  • Cloud-based premises

The cloud-based premises segment held the dominant position in the market in 2017 and is projected to retain its dominance throughout the forecast period. The high cost associated with the telecom order management solutions is one of the major challenges faced by the solution providers, which can be overcome with the help of cloud deployment model. Deployment of cloud-based model offers various advantages such as flexibility, scalability, affordability, operational efficiency, and low cost. Hence, the deployment of cloud-based solutions is expected to grow significantly during the forecast period.

By Component Type

  • Solution
  • Service

Global Telecom Order Management: Regional Insights

On the basis of geography, the global telecom order management market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America accounts for largest market share, owing to large number of leading players in the region.

Asia Pacific region is projected to witness significant growth in market over the forecast period, owing to digital transformation across industries and increasing demand for managing the IT services.

Telecom Order Management Market: Competitive Background

Key players operating in telecom order management market include Pegasystem, Inc. Cerillion Technologies, Cognizant, Ericsson, IBM Corporation, Oracle Corporation, ChikPea, Inc. Comarch, Fujitsu, Intellibuzz, Mphasis, and Neustar.

Research Methodology

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  • 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.
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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:

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  • 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
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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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