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Telecom Cloud Billing Services Market 2018 Trends, Growth, Industry Major Vendors are Amdocs, CSC, CGI, NetCracker, Oracle, etc | Competitive Landscape, Insights and 2025 Forecast Research Report

09-20-2018 01:40 PM CET | IT, New Media & Software

Press release from: Orian Research

Telecom Cloud Billing Services Market

Telecom Cloud Billing Services Market

Telecom Billing is the group of processes of communications service providers that are responsible to collect consumption data, calculate charging and billing information, produce bills to customers, process their payments and manage debt collection. Cloud computing is the new in telecom billing that catalyzes important modifications in traditional billing architectures.

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This report studies the Telecom Cloud Billing Services market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Telecom Cloud Billing Services market by product type and applications/end industries.

The increased use of mobile wallet is one of the interesting trends that has gained traction in recent times. The convergent charging software helps the telecom operators integrate the charging system with various financial institutions for transferring money or paying bills. For instance, Bharti Airtel Ltd. offers a mobile wallet service that allows subscribers to use their mobile phone for every payment option. Japanese telecom operator NTT DoCoMo has a mobile wallet service that allows mobile phone users to replace their existing credit card with the mobile phone.

Global Telecom Cloud Billing Services Industry 2018 Market Research Report is spread across 117 pages and provides exclusive vital statistics, data, information, trends and competitive landscape details in this niche sector.
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Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins. The report focuses on global major leading Telecom Cloud Billing Services Industry player providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials and equipment and downstream demand analysis is also carried out. The Telecom Cloud Billing Services industry development trends and marketing channels are

Analysis of Telecom Cloud Billing Services Industry Key Manufacturers:
• Amdocs
• CSC
• CGI
• NetCracker
• Oracle.

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Market Segment by Type, covers
• Embedded Billing
• Convergent Billing
• D2C Billing
• Prepaid Billing
• Post-Paid Billing.

Market Segment by Applications, can be divided into
• Individuals
• Enterprises.

Table of Contents
Chapter 1, to describe Telecom Cloud Billing Services Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of Telecom Cloud Billing Services, with sales, revenue, and price of Telecom Cloud Billing Services, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of Telecom Cloud Billing Services, for each region, from 2013 to 2018;
Chapter 5, 6, 7, 8 and 9, to analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2013 to 2018;
Chapter 12, Telecom Cloud Billing Services market forecast, by regions, type and application, with sales and revenue, from 2018 to 2023;
Chapter 13, 14 and 15, to describe Telecom Cloud Billing Services sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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