Voice over LTE (VoLTE) Market Opportunities and Forecast 2014 – 2019
LTE has been a driver for major investment for wireless carriers. However, much of the investment is in core network infrastructure that will be used for more than just raw data services. Voice over LTE (VoLTE) represents an opportunity for wireless carriers to improve their competitive position marginally at first, but much more longer term, assuming they properly execute VAS applications such as RCS and open up their APIs.
The incumbent carriers must deal with the threat of these “dial around” voice over wireless IP (or VoIP over Wireless OTT) providers by offering their own “dialable” VoIP. In addition to solving the problems of deploying “diable” VoIP via VoLTE, the incumbent network operators must offer VAS applications and capabilities such as the presence-enabled Dynamic Address Book.
With modest beginnings, there were approximately 12 million VoLTE subscribers worldwide in 2013, mostly in South Korea. We expect this to change as the pace of VoLTE deployments, and more importantly, adoption rates in countries/networks already deployed, grows dramatically on a global basis.
This research assesses the market drivers and outlook for VoLTE as well as carrier opportunities and challenges. The report forecasts VoLTE growth and includes insights, conclusions and recommendations for network operators including strategies for VAS application deployment and integration with various telecom assets via Telecom APIs. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Voice over LTE (VoLTE) forecast 2014 - 2019
Identify challenges and opportunities for LTE services providers
Understand the business drivers and key success factors for VoLTE
Identify opportunities to leverage the integration of VoLTE with RCS
Understand the short and longer term VoLTE benefits to wireless carriers
Mobile network operators
Telecom infrastructure providers
Content and applications providers
Social network and commerce vendors
Investment companies including:
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.
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