Welcome!

IBM Cloud Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Stefan Bernbo

News Feed Item

Research and Markets: Global Convergent Charging Software and Services Market 2011-2015

Research and Markets (http://www.researchandmarkets.com/research/42k8s9/global_convergent) has announced the addition of the "Global Convergent Charging Software and Services Market 2011-2015" report to their offering.

This report, on the Global Convergent Charging Software and Service Market 2011-2015, is based on an in-depth analysis covering the Americas, and the EMEA and APAC regions. The report aims to aid decision makers' understanding of the significant trends impacting this market.

Commenting on the report, an analyst from TechNavio's Telecom team said: ''In real-time convergent charging, the session control layer of the convergent charging system supervises the ongoing sessions for voice calls, data usage, and the limit of multimedia services, and terminates the services when the charging layer indicates that the customers' credit has been depleted to the minimum level. Hence, real-time convergent charging enables a telecom operator to terminate a service once the credit of the customer crosses the limit, which thereby prevents revenue leakage. Thus, along with managing and generating a single invoice for various telecom services, convergent charging software helps in minimizing the revenue loss of the telecom operators. The increasing adoption of real-time convergent charging is an emerging trend in the market.''

According to the report, one of the main drivers is the increasing adoption of triple-play and quad-play services. Telecom service providers are migrating from legacy charging software to convergent charging software in order to be able to generate a single invoice for both triple-play and quad-play services. Convergent charging software also enables telecom service providers to offer various combinations of these two services to their target customers.

Further, the report reveals that the need for a skilled and trained workforce is posing a major challenge to the growth of the Global Convergent Charging Software and Service market.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.

Key Topics Covered:

01. Executive Summary

02. Introduction

03. Market Coverage

04. Market Landscape

05. Geographical Segmentation

06. Vendor Landscape

07. Buying Criteria

08. Market Growth Drivers

09. Drivers and their Impact

10. Market Challenges

11. Impact of Drivers and Challenges

12. Market Trends

13. Key Vendor Analysis

14. Other Reports in this Series

Companies Mentioned

- Ericsson (LM) Tel-Sp Adr.

- Huawei Technology Co.

- Ltd.

- Comverse Technology Inc.

- Accenture plc.

- Alcatel-Lucent Inc.

- Amdocs Ltd.

- Atos Origin Inc.

- CapGemini S.A.

- Comptel Communication Oy

- Comptel OYJ

- Volubill S.A.

- Orga Systems GmbH

- Telcordia Technology Inc.

- Comverse Technology Inc.

- Convergys Corp.

- Datatronics Corp.

- Ericsson (LM) Tel-Sp Adr.

- Hewlett-Packard Co.

- Huawei Technology Co. Ltd.

- IBM Corp.

- Logica CMG Ltd.

- Nokia Siemens Network Inc.

- Oracle Corp.

- SAP A.G.

- Tech Mahindra Ltd.

- ZTE Corp.

For more information visit http://www.researchandmarkets.com/research/42k8s9/global_convergent.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...