Huge Demand for Self Organising Network Industry 2020

 The global self organizing network and optimization software market is expected to witness significant growth over the forecast period owing to the rapidly increasing cellular traffic. Growing number of mobile phone users are further expected to propel market growth. The inability of traditional systems to manage network complexities coupled with increasing 3G and LTE network complexities may further fuel growth in the self organizing network (SON) and optimization software market. Increasing operational expenditure for LTE network is anticipated to propel market growth. Further, growing adoption of SON and optimization software in 3G and 2G networks by service providers is projected to drive market growth over the forecast period.

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Self-organizing network (SON) facilitates the automation of network tasks including operating, optimizing, and configuring network traffic. Further, increasing benefits of SON such as enhanced user experience may drive market growth. Reducing operation cost owing to adoption of SON is anticipated to fuel market demand. Additionally, SONs provide efficient transmission under adverse congested traffic conditions. SONs and optimization software provide capacity based optimization or load balancing resulting in an optimal distribution of network traffic across multiple resources. Further SONs and optimization software account for improved network quality and provide self-healing capabilities to networks.

SONs and optimization software reduce the effects of changes in propagation characteristics, traffic patterns, and network deployments. Changes in propagation characteristics could arise from the construction and destruction of buildings and other public infrastructure. Further, changes in user concentration in specific areas, surging network traffic owing to festive seasons may lead to change in traffic patterns. Changes in deployment are attributable to change in base station location and additional base station deployments. Further increasing network heterogeneity and demand for cross-network capabilities is anticipated to pose a challenge to the SON and optimization software market. Challenges related to full automation of tasks such as self-optimization, self-configuration and self-healing may further restrain market growth.