The term “Wireless Network Infrastructure” has conventionally been associated with macrocell RAN (Radio Access Network) and mobile core network infrastructure. However, the scope of the term is expanding as wireless carriers increase their investments in Heterogeneous Network or HetNet infrastructure such as small cells, carrier WiFi and DAS (Distributed Antenna System) nodes, to cope with increasing capacity and coverage requirements.
In addition, wireless carriers are keen to shift towards a C-RAN (Centralized RAN) architecture, which centralizes baseband functionality to be shared across a large number of distributed radio nodes. In comparison to standalone clusters of base stations, C-RAN provides significant performance and economic benefits such as baseband pooling, enhanced coordination between cells, virtualization, network extensibility and energy efficiency.
Despite an ongoing decline in traditional macrocell RAN spending, the wider wireless network infrastructure market encompassing macrocell RAN, small cells, C-RAN, RRH, DAS, mobile core, backhaul and fronthaul infrastructure will continue to witness growth over the coming years. By the end of 2020, the market is expected to account for over $92 Billion in revenue. Complimenting this growth would be over $5 Billion worth of annual R&D investments on 5G mobile technology funded by regional, national government, wireless carrier and vendor initiatives.
The “Wireless Network Infrastructure Ecosystem: 2015 – 2020 – Macrocell RAN, Small Cells, C-RAN, RRH, DAS, Carrier WiFi, Mobile Core, Backhaul & Fronthaul” report presents an in-depth assessment of 10 individual submarkets of the wireless network infrastructure opportunity. Besides analyzing key market drivers, challenges, enabling technologies, investment trends, operator revenue potential, regional CapEx commitments, network rollout strategies, future roadmap, 5G R&D initiatives, value chain, vendor assessment and market share, the report also presents revenue and unit shipment forecasts for 10 submarkets from 2015 to 2020 at a regional as well as a global scale. Historical figures are also provided for 2010, 2011, 2013 and 2014.
The report comes with an associated Excel datasheet suite covering quantitative data from over 500 numeric forecasts presented in the report.