Welcome!

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

News Feed Item

Network Analytics Market - Forecast to 2018


DUBLIN, Feb. 6, 2014 /PRNewswire/ --Research and Markets (http://www.researchandmarkets.com/research/x5hmc8/network_analytics) has announced the addition of the "Network Analytics Market - Forecast to 2018" report to their offering.

(Logo: http://photos.prnewswire.com/prnh/20130307/600769)

Network analytics provides solutions with capabilities to monitor and analyze the data running across the network. This analysis is then used strategically for optimizing network performance and by taking proactive measures before any network mishap. The number of connected devices across the world is expected to grow enormously in the coming years, which in turn will be responsible for increasing the complexity on the networks. To tackle this situation and in order to make a mark in a dynamic telecom environment, adoption of network analytics solutions by Communication Service Providers (CSPs) and network operators is expected to rise significantly in the coming years. Enterprises and cloud service providers are also in their initial phase of deploying and leveraging network analytics solution in order to keep track of their networks which comprise enterprise-connected devices. Together these factors are expected to lead the growth in the adoption of network analytics solutions globally.

Growing network traffic, upgrade of technologies, Quality-of-Experience (QoE) maintenance, and targeted marketing are expected to remain the major drivers behind the increased adoption of network analytics solutions. Through network analytics solutions, organizations can avail benefits such as monitoring and analysis of real-time and historical data, getting network summary via dashboards, traffic management, network capacity planning, routing efficiency assurance, congestion analysis, and various others.

The notable solution developers in this domain are IBM, HP, Sandvine, Empirix, Procera Networks, Accenture, Danaher Corporation, and JDSU. These players along with the others present in the market are expected to make a big impact in this rapidly growing market place in the next five year. The network analytics market is forecast to grow from $487.9 million in 2013 to $1672.5 million in 2018, at a Compound Annual Growth Rate (CAGR) of 27.9% from 2013 to 2018.

Key Topics Covered:

1. Introduction

2 Executive Summary

3 Market Overview

4 Market Size And Forecast By Deployments

5 Market Size And Forecast By Applications

6 Market Size And Forecast By End Users

7 Market Size And Forecast By Regions

8 Market Landscape

9 Company Profiles

Companies Mentioned:

  • Accenture
  • Allot Communication
  • Ascom Holding AG
  • Bradford Networks
  • CISCO
  • Calix
  • Danaher Corporation
  • Empirix
  • HP
  • IBM
  • JDSU
  • Juniper Networks
  • Netronome
  • Procera Networks
  • Sandvine Corporation
  • TIBCO
  • Vpisystems
  • Wildpackets

For more information visit http://www.researchandmarkets.com/research/x5hmc8/network_analytics

Media Contact: Laura Wood , +353-1-481-1716, press@researchandmarkets.net

SOURCE Research and Markets

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire 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...