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Research and Markets: Global Mobile Backhaul Test Equipment Market 2012-2016: Challenges Explained

Research and Markets ( has announced the addition of the "Global Mobile Backhaul Test Equipment Market 2012-2016" report to their offering.

The analysts forecast the Global Mobile Backhaul Test Equipment market to grow at a CAGR of 14.8 percent over the period 2012-2016. One of the key factors contributing to this market growth is the inexorable rise of data traffic. The Global Mobile Backhaul Test Equipment market has also been witnessing an increasing adoption of millimeter-wave solutions. However, the increasing complexity of telecom networks could pose a challenge to the growth of this market.

The key vendors dominating this space include Agilent Technologies Inc., Anritsu Corp., Danaher Corp., Exfo Inc., Ixia, JDS Uniphase Corp., and Spirent Communications plc.

The other vendors mentioned in this report are Accedian Networks Inc., Aircom International, Anite plc, Azimuth Systems, Rohde & Schwarz, and VeEX Inc.

Commenting on the report, an analyst from the team said: LTE offers tremendous opportunities for test equipment vendors. Considering the nascent stage of the LTE ecosystem, the telecom operators prefer to invest in backward and forward- compatible testing tools which are future-proof and are used for LTE trials or deployments. Due to the rising demand for complex high-bandwidth mobile services, the need to have a strong and fail-safe backhaul infrastructure supporting these services has become highly significant for mobile service providers. Moreover, service providers migrating from legacy to emerging backhaul technologies are experiencing a serious challenge in testing multiple technologies within a reasonable time and at an affordable cost.

According to the report, the increasing number of backhaul connections to manage network bandwidth is a major driver in this market, as backhaul test equipment help network operators address the needs of the growing mobile data traffic caused by the increasing use of data-heavy services.

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