Service delivery platforms: worldwide forecast 2012–2016Analysys MasonSeptember 4, 2012 59 Pages - SKU: BCAQ4893165 |
- List of Slides with Slide Numbers
- 5.Executive summary
- 6.Worldwide SDP forecast, 2011–2016: new services and subscribers will lead to continued investment
- 7.Policy management will enjoy the highest growth rate because it is the only technology that directly provides cost savings
- 8.Mobile services continue to be the primary focus for SDP spending
- 9.The high subscriber growth in emerging markets will drive SDP spending over the forecast period
- 10.Recommendations
- 11.Recommendations for CSPs
- 12.Recommendations for suppliers
- 13.Forecast
- 14.Telecoms application server revenue will continue to be split about 50:50 between IN replacement and new services
- 15.LTE will be both a driver and an inhibitor of the growth of TAS revenue in the major spending area of mobile
- 16.Service innovation and rising subscriber numbers are driving spending on TAS in emerging markets
- 17.Vendors in the mobile content management and delivery segment must move to support OTT and media players
- 18.The strong positions of Apple and Google in the content value chain are eroding the opportunity for CSPs in mature markets
- 19.Cost savings will be a stronger driver for policy management spending than increasing revenue from new services
- 20.Mobile services will continue to account for most PCRF spending, but spend on fixed networks will rise to protect investment in VDSL/FTTx
- 21.Growth in the number of subscribers to policy-enabled services, and cost reduction initiatives, will drive PCRF spending
- 22.Subscriber data management is a mature market in which technology refresh and replacement will drive growth
- 23.Mobile services account for most SDM spending, but some spending is forecast for residential broadband in association with FMC
- 24.The growth in the number of subscribers in emerging markets will drive the majority of SDM spending over the forecast period
- 25.Market drivers and inhibitors
- 26.Market drivers and inhibitors
- 27.Service delivery platform market drivers [1]
- 28.Service delivery platform market drivers [2]
- 29.SDP market inhibitors [1]
- 30.SDP market inhibitors [2]
- 31.Business environment
- 32.Competitive drivers of service innovation
- 33.The business environment in 2011: higher growth in emerging markets
- 34.Economic setbacks are forecast for 2012, but growth is expected to return in 2013, with emerging and developing markets leading the way
- 35.Capex growth will be strongest in APAC and CALA, but APAC and EMEA will account for two-thirds of the total spend during the forecast period
- 36.Most of the growth in subscriber numbers will occur in emerging markets in APAC and EMEA
- 37.In developed markets, demand for FTTx (FTTH and VDSL) has gradually picked up in 2011, and we expect continued improvement until 2014
- 38.Understanding consumer smartphone data traffic and network usage through on-device measurement – (Wi-Fi) off loaders by nature
- 39.More smartphones does not yet imply more usage of mobile broadband, but it does reflect the readiness to start using this service
- 40.Smartphone prices mean that the social status they confer is more important than actual usage, but owners are ready to use at the right price
- 41.Mobile traffic continues to grow dramatically worldwide, while the number of connections grows more gradually
- 42.The business environment by region in 2011
- 43.Regional outlook for 2012: CALA and other emerging markets will continue to be the main sites of service innovation and subscriber growth
- 44.Market definition
- 45.Summary of changes to our segmentation of the telecoms software market
- 46.Telecoms software market segmentation
- 47.SDP overview
- 48.Definition of SDP and its sub-segments
- 49.SDP deployment scenario
- 50.SDP service sector and revenue type definitions
- 51.Definition of geographical regions
- 52.Key business drivers and market characteristics and how they map to different operational and software strategies
- 53.Our comprehensive forecast model is supported by a sound knowledge of markets
- 54.About the author and Analysys Mason
- 55.About the author
- 56.About Analysys Mason
- 57.Research from Analysys Mason
- 58.Consulting from Analysys Mason
- List of figures
- Figure 1: Service delivery platform revenue, worldwide, 2011–2016
- Figure 2: Service delivery platform revenue by sub-segment, worldwide, 2011–2016
- Figure 3: Service delivery platform revenue by telecoms service, worldwide, 2011–2016
- Figure 4: Service delivery platform revenue by region, worldwide, 2011–2016
- Figure 5: Telecoms application server revenue, worldwide, 2011–2016
- Figure 6: Telecoms application server revenue by telecoms service, worldwide, 2011–2016
- Figure 7: Telecoms application server revenue by region, worldwide, 2011–2016
- Figure 8: Mobile content management and delivery platform revenue, worldwide, 2011–2016
- Figure 9: Mobile content management and delivery platform revenue by region, worldwide, 2011–2016
- Figure 10: Policy management revenue, worldwide, 2011–2016
- Figure 11: Policy management system revenue by telecoms service, worldwide, 2011–2016
- Figure 12: Policy management system revenue by region, worldwide, 2011–2016
- Figure 13: Subscriber data management revenue, worldwide, 2011–2016
- Figure 14: Subscriber data management revenue by telecoms service, worldwide, 2011–2016
- Figure 15: Subscriber data management revenue by region, worldwide, 2011–2016
- Figure 16a–b: Service delivery platform market drivers
- Figure 17a–b: Service delivery platform market inhibitors
- Figure 18: Competitive drivers of service innovation
- Figure 19: GDP growth, worldwide and by market type, 2007–2013
- Figure 20: Telecoms capex by region, worldwide, 2011–2016
- Figure 21: Telecoms subscribers by region, worldwide, 2011–2016
- Figure 22: FTTx capex by region, developed markets, to 2017
- Figure 23: FTTx capex by region, developed markets, 2010–2017
- Figure 24: Distribution of total smartphone traffic across all panellists
- Figure 25: Smartphones as a percentage of handsets in use, by region, worldwide, 2012
- Figure 26: Handsets by device type and smartphones as a percentage of handsets in use, Western Europe, 2008–20162
- Figure 27: Smartphones as a percentage of handsets in use, top-ten countries in a sample of 26, 2012
- Figure 28: Smartphones as a percentage of handsets in use, bottom-ten countries in a sample of 26, 2012
- Figure 29: Mobile connections by region, and traffic from mobile connections, worldwide, 2012–2017
- Figure 30: Changes to Analysys Mason’s segmentation of the telecoms software market
- Figure 31: Telecoms software market segments
- Figure 32: Definition of SDP and its sub-segments
- Figure 33: SDP deployment scenario
- Figure 34: SDP service sector definitions
- Figure 35: SDP service revenue type definitions
- Figure 36: Regional breakdown used in this report
- Figure 37: Mapping of key business drivers and market characteristics according to business environment, and operational and software strategies
- Figure 38: Key factors influencing forecast assumptions
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