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Mobile Broadband Grand Prix 2013-2016

  • February 2013
  • -
  • TeleResearch Labs

Formula 1 MBB Strategies to Fuel-up ARPU Tanks, Fostering Consumer Adoption, Locking Churn, and Traffic Offloading Techniques in Rural & Urban Global Mobile Markets, Constituting up-to-theAn accurate study of the present and the expected face of the telecom market based on detailed research by our experts has been supported by true data extracted from the grass root levels. This study is a conclusive report based on interviews, data mining techniques, in depth analysis, scrutiny of factual data and possible innovative propositions that could equip an entity to tackle the ongoing advancements in the industry.Executive Summary Mobile Broadband Grand Prix 2013 [aka MBG 2013] is the latest version of our Bestseller report for 2 years. Unlike earlier, this updated version takes on price wars, user segmentation, mobile Internet usages & content, urbanisation, traffic management, infra leasing & network collaborations, and App business modeling. A brief snapshot of the update: • A complete accuracy check based on new information and estimates gathered via numerous interviews with C-level executives & survey polling;• Approximately 40-50% of the makeover is attributable to the real-time, genuine feedback of existing customers;• Concrete guidelines & recommendations for small to mid-sized service providers (MNOs, ISPs, Device Manufacturers, etc.);• Re-evaluation of the industry forecasts & expected scenarios emerging ahead;• Innovative Mobile Revenue Sourcing strategies;And, much more... Here comes another run-of-the-mill Report…is probably you might be thinking when we talk of Mobile Broadband. Enough has been written about it over and over again and understandably, you might smirk at another Report on the same subject. But TeleResearch Labs has a different psychology altogether when it comes to research – Our analysts, even though veterans in their field, never preen themselves on being 'experts'; instead, they adopt a naïve approach to every research project, and 'attempt' to become 'experts'. And that's why when our sleuths are assigned any project, they dig right uptill they obliterate the chances of anything being left out or overlooked regarding the subject.MBB Grand Prix 2013 – 2016 is another such attempt. 2010 & 2011 were disruptive years for the telecom industry worldwide. This was probably the first time the industry realised just how mammoth the task is to manage the spiraling data traffic on their networks as it reached nearly 597 petabytes per month at 2011 year-end. The consumer has been pampered with way too many promises, but have you – operator, vendor, device maker, really come up with a foolproof business solution to accommodate all those promises? Are you even close to managing it? Or, for some, we might ask – Can you ever manage it at all'MBB is here to stay – and it's nothing short of pathetic that nearly every research house is doing the subject to death with a stale approach. We, at TeleResearch Labs took upon this study from a different perspective altogether – over the past 1 year, our team scrutinised over 100,000 pages of official data; reviewed performance of over 300 companies globally; interviewed nearly 100 executives; and studied more than 80 business models.What the analyses revealed was shocking – We deduced that the majority of businesses are hurtling towards a bleak abyss if they continue their MBB strategies the way they are. What was even more disconcerting was the fact that many have not bothered to think beyond and are smugly sure they are up the right track. All that hoopla about sure-shot business models – be it pricing or revenue sharing, innovative VAS, ARPU enhancers, traffic offloading etc. has been shredded in our Report for we unearthed that a sea-change is required if MNOs, vendors and the app community finally get down to doing things differently rather than running up the same old path and following the same old staid business models.So that all businesses/ concerns even remotely connected to MBB ensure that they do not skid off the track in the period which is nothing short of a 'Grand Prix' of the telecoms, we have presented solutions keeping 'differentiation' in mind – to ensure that all who have what it takes, achieve their revenues and ARPU targets during the next 4 years, while cutting back churn and enhancing consumer loyalty.Pricing is fast approaching to becoming a second-hand tool for cutting churn – VAS would be the stronger one, but then again, are you sure you are tapping enough into the average consumer's psychology to keep on enticing him with your VAS'Moreover, is your technology really supportive to all the VAS your marketing team might be envisaging'There's a sea of 'unexploited' consumers left to fish in. Do not think the fish will bite the hook – You have to bait them.Europe and North America would lag behind Asia Pacific in MBB growth. Why'MNOs in these regions need to drive consumer adoption in strategically different ways. Asia Pacific is huge in terms of population – and that alone is one of the factors; but then you must consider that relatively larger portions of the region are highly underserved. Socio-economic constraints of the sub-regions have to be conquered to blast them with MBB.Towards this the MNOs must adopt a long-term strategy, one in which they should not be expecting too much too soon.On the other hand, markets in Europe and North America have a different composition. The challenge lies not really in expanding the MBB base, but rather, to 'enhance' it. The psychological make-up of an average user in these regions is like a child reaching adolescence overnight – it is the case of too much too soon. MNOs and vendors need a different approach now. More customisation is required, both in terms of MBB offerings and smartphones.The next 4 years are do-or-die for many players – it's the 'Grand Prix' of the Telecoms industry in which the winner would be the one who drives Mobile Broadband the hardest, smartest way. Our Report essentially provides you the tools to do that very thing – Drive Mobile Broadband till you annihilate each and every potential consumer segment, worldwide, to the point they come to depend upon MBB, be it the ritzy settings in the USA and Western Europe or the murky darkness of Africa or the vast sands of the Middle East.MBB Grand Prix 2013 – 2016 spans across the telecom globe and covers every nerve of the industry – Be it the ammunition on MBB market penetration in unserved, underserved regions, stifling churn in saturating markets; analysing the scope of various technological platforms vis-à-vis MBB, traffic management and offloading solutions, innovative VAS and many more…our analysts haven't left out anything. Besides, we have given detailed MBB forecasts (global and regional) on subscribers, revenues, ARPUs (including 3 global giants), mobile apps, mobile messaging traffic like SMS, MMS, mobile e-mail and IM, consumer adoption of various technology platforms etc. in a whooping number of 128 figures and 39 tables. As an add-on, we have packed in numerous compelling case studies on MNOs and app stores.So, do not wait – The MBB Grand Prix has begun. Fuel-up, get set, and step on the accelerator now!

Table Of Contents

Mobile Broadband Grand Prix 2013-2016
Chapter 1: Executive SummaryChapter 2: Competitive Strategies and Analyses of the Worldwide Mobile, Fixed-Line Broadband Operators/ Vendors, and Propositions for 2011 - 20162.1 A Market Survey - Decoding the MBB Mindset of Consumers2.2 Fixed-Line Broadband versus Mobile Broadband - Their Past, Your FutureFigure 2-1 Global Mobile Broadband and Fixed-Line Broadband Subscriptions (In Billion), 2011 and 2012Figure 2-2 Mobile Broadband Subscriptions by Region (In Million), 2011 and 2012Figure 2-3 Mobile Broadband Subscriptions by Region (In %), 2010 - 2012Figure 2-4 Mobile Broadband Subscriptions by Region (In %), 2012Figure 2-5 Fixed-Line Broadband Subscriptions by Region (In Million), 2011 and 2012Figure 2-6 Fixed-Line Broadband Subscriptions by Region (In %), 2012Table 2-1 Mobile Broadband and Fixed-Line Broadband Annual Growth (In %), 2011Figure 2-7 Mobile Broadband Subscriptions per 100 Inhabitants (World and by Level of Development), 2010 - 2012Figure 2-8 Fixed-Line Broadband Subscriptions per 100 Inhabitants (World and by Level of Development), 2010 - 2012Figure 2-9 Fixed-Line Broadband and Mobile Broadband Subscriptions per 100 Inhabitants by Region, 20112.3 Pros and Cons of Mobile Broadband and Fixed-Line Broadband2.3.1 Mobile Broadband2.3.2 Fixed-Line Broadband2.4 How fixed-line/ wireless broadband can maneuver around mobile broadband?2.5 Competitive Strategies for Mobile and Fixed-Line Broadband Players2.5.1 Fixed-Line Operators2.5.2 Fixed-Line Vendors2.5.3 Mobile Operators2.5.4 Mobile Vendors2.6 The Know-How of Prepaid and Postpaid MBB2.7 Viability, Comparison and Evaluation of the Different Internet Mediums2.7.1 Narrowband Dial-up2.7.2 Narrowband ISDN2.7.3 DSL Broadband2.7.4 Cable Broadband2.7.5 Wireless Broadband2.7.6 Satellite BroadbandTable 2-2 Comparison of Broadband and NarrowbandTable 2-3 Comparison of Download Time in Dial-Up and Broadband InternetChapter 3: Regional Mobile Broadband Forecasts - Subscriptions and Revenues 2013 - 20163.1 MBB Subscriptions Forecast (2013 - 2016)Figure 3-1 Global MBB Subscriptions Forecast (In Million), 2011 - 2016Figure 3-2 MBB Subscriptions by Region (In Million), 2011 and 2012Figure 3-3 MBB Subscriptions by Region (In %), 2012Figure 3-4 MBB Subscriptions Forecast by Region (In Million), 2016Figure 3-5 MBB Subscriptions Forecast by Region (In %), 2016Figure 3-6 MBB Subscriptions Forecast by Region (In Million), 2012 - 2016Figure 3-7 MBB Subscriptions Forecast by Region (In Million), 2012 and 20163.2 MBB Revenues Forecast 2013 - 2016Figure 3-8 Global MBB Revenues (In Billion US$), 2010 - 2012Figure 3-9 Global MBB Revenues Forecast (In US$ Billion), 2012 - 2016Figure 3-10 MBB Revenues Forecast by Region (In US$ Billion), 2012 - 2016Table 3-1 MBB Revenues Forecast by Region (In US$ Billion), 2012 - 2016Chapter 4: Roadmap to Build a Fail-safe MBB Business Platform4.1 MBB Staircase4.2 GSM/ 3GPP1 Family4.2.1 EDGE EvolutionTable 4-1 Benefits of EDGE4.2.2 UMTS (Universal Mobile Telecommunications System)4.2.3 HSPA (High Speed Packet Access) and HSPA+4.2.4 LTE (Long Term Evolution)4.2.4.1 LTE, a Road to LTE AdvancedTable 4-2 LTE Vs. LTE-Advanced: Key Performance Indicators4.2.5 CDMA/ 3GPP2 Family4.2.5.1 CDMA2000 1XEV-DO (Evolution Data Only) Revision 04.2.5.1.1 Standard Revision and path towards CDMA EV-DO Revision A and Revision B4.2.5.1.2 TIA-856 Revision 04.2.6 WiMAX (Worldwide Interoperability for Microwave Access)4.2.6.1 LTE vs. WiMAX: Who would win, finally?Figure 4-1 MBB Subscriptions Market Share by Technology (In %), 2016Figure 4-2 MBB Subscriptions Forecast by Technology (In Million), 20164.2.7 Wi-FiTable 4-3 Wi-Fi SWOT AnalysisFigure 4-3 Wi-Fi Hotspots for Selected Operators (In Numbers), 20124.2.8 Mi-FiTable 4-4 Regional Penetration of Rest of the Technologies4.3 Mobile Broadband Catalysts and HindrancesTable 4-5 Mobile Broadband CatalystsTable 4-6 Mobile Broadband Hindrances4.4 Mobile Broadband Devices - Viability and Usage4.4.1 USB Modems/ USB Dongles4.4.2 Embedded Modems4.4.3 PC Cards and Express Cards4.4.4 Mobile Phone HandsetsChapter 5: Mobile Internet Traffic - Regional Forecasts, Smart Offloading and Innovative Techniques to Rein-in the ‘Raging Bull'; and Methodology to Fuel MBB ARPUs 2013 - 20165.1 Global Traffic Meter - Accidents Waiting to Happen!Figure 5-1 Mobile Data Traffic Y-o-Y Growth by Application Category (In %), 2012Figure 5-2 Global Monthly Mobile Data Traffic Forecast (In EB), 2012 - 2016Figure 5-3 Global Monthly Mobile Data Traffic per User Forecast (In GB), 2012 - 2016Table 5-1 Mobile Data Traffic per Month by Region (In TB), 2012 - 2016Figure 5-4 Mobile Data Traffic per Month by Region (In %), 2012 - 2016Table 5-2 Mobile Data Traffic per Month by Device Type (In TB), 2012 - 2016Figure 5-5 Mobile Data Traffic per Month by Device Type (In TB), 2012 - 2016Table 5-3 Mobile Data Traffic per Month by Application Category (In TB), 2012 - 2016Figure 5-6 Mobile Data Traffic per Month by Application Category (In %), 2012 - 20165.2 Manage Your Data Traffic Now, or Perish!5.3 Traffic Offloading Techniques - A Shredding Analysis5.4 Scope of Traffic Offloading Solutions - An Eye-Opener5.5 Femtocell vs. Wi-Fi for Data Offloading - Which would make the ultimate cut?5.6 What are the Alternatives to Traffic Offloading Solutions?Figure 5-7 Traffic Management Chaos5.7 Feasibility of Offloading onto Other Networks5.8 Different Devices Need Different Concepts5.9 MBB Data ARPUs - Let's Fuel-up Your Tanks Now!5.9.1 The Effect of Mobile Broadband on Operator's Revenue (ARPU)Figure 5-8 Blended ARPU, MBB Operators and Non-MBB Operators, 2005 - 20125.9.2 Mobile Operator's Revenue from Non-VoiceServicesFigure 5-9 Share of Mobile Operator's Revenue from Non-Voice Services (In %), 2005, 2011, 2012 and 20165.10 MBB ARPU Trends of Major MNOs5.10.1 ATandT Inc., USAFigure 5-10 ATandT Total Wireless Data ARPU (In US$), Q2 2011 - Q1 2012Figure 5-11 ATandT Postpaid Wireless Data ARPU (In US$), Q3 2011 and Q3 20125.10.2 Bharti Airtel Ltd., IndiaFigure 5-12 Bharti Airtel Indian Market Data ARPU (In INR), Q4 FY12 and Q1 FY135.10.3 NTT, JapanFigure 5-13 NTT Packet ARPU of MBB Services (FOMA, Xi), (In Yen), 2010 - 2012Chapter 6: Mobile Broadband -Tasting the Success by Unheard-Of VAS Strategies; Driving MBB in Underserved Regions and Crashing the Untapped6.1 How to create an irresistible need for mobile broadband?Table 6-1 Affect of Development, Resource Management and Networking on Society6.2 Have you really exhausted your VAS pipeline? Think Again!6.3 VAS Based on Subscription Services6.4 VAS Embedded In the Mobile Phone6.5 Have you thought of these VAS…? Perhaps Not!6.6 Rural/ Underserved Regions - Opportunities and Challenges6.6.1 Opportunities6.6.2 Challenges6.7 Unserved Regions - Would they ever become penetrable?6.8 Metropolitan Regions - Emerging ChallengesChapter 7: Mobile Broadband - Regional Consumer Psychology, Usage Patterns and Volumes 2013 - 2016Figure 7-1 Mobile Broadband Subscriptions by Region (In %), 2012Figure 7-2 Mobile Broadband Subscriptions by Region (In Million), 2011 and 20127.1 EuropeFigure 7-3 Europe Mobile Broadband Subscriptions Forecast (In Million), 2012 - 20167.2 Asia PacificFigure 7-4 Asia Pacific Mobile Broadband Subscriptions Forecast (In Million), 2012 - 20167.3 The AmericasFigure 7-5 The Americas Mobile Broadband Subscriptions Forecast (In Million), 2012 - 20167.4 AfricaFigure 7-6 Africa Mobile Broadband Subscriptions Forecast (In Million), 2012 - 20167.5 Arab States and CISFigure 7-7 Arab States Mobile Broadband Subscriptions Forecast (In Million), 2012 - 2016Figure 7-8 CIS Mobile Broadband Subscriptions Forecast (In Million), 2012 - 2016Chapter 8: Mobile Broadband - Innovative Pricing Models for Different Consumer Segments and Churn Poisoning PloysFigure 8-1 Important Factors behind a Successful Pricing Strategy8.1 Corporate8.1.1 Vodafone Ireland's Business Share PlanTable 8-1 Vodafone Ireland's Business Share Plan, November 2012Table 8-2 Vodafone Ireland's Business Share Plan, November 2012 - Key FeaturesTable 8-3 MBB (Tablet) Corporate Pricing Models by Vodafone UK, November 20128.2 Individual/ PersonalTable 8-4 Individual/ Personal MBB Plans by Vodafone New Zealand, November 20128.2.1 A Possible Special Pricing Model for Individual Users8.3 Students8.3.1 A Possible Pricing Model for Students8.3.1.1 Vodafone Greece 'University Mobile Internet'8.4 Heavy Users or Frequent TravelersTable 8-5 Vodafone UK MBB Plan for Business Travelers, November 20128.4.1 A Possible Pricing Plan for Frequent Travelers and Business Executives8.5 Light UsersTable 8-6 Vodafone Australia's Prepaid Mobile Broadband Plans, November 20128.5.1 A Possible MBB Tariff Structure for Light Users8.6 Mobile Broadband Churn Poisoning Ploys8.6.1 Effective Strategies to Reduce Churn Rate and Retain CustomersTable 8-7 Effective Techniques to Cut ChurnTable 8-8 Management of Post-paid and Pre-paid User ClassFigure 8-2 How to Drive Customer Retention and Loyalty?Chapter 9: Global Mobile Messaging - Forecasts on Volumes, Users (Consumer Vs. Business) and Revenues, and Key Factors Affecting Usage 2013 - 2016Figure 9-1 Global Mobile Messaging Traffic (In Trilion), 2012 - 2016Figure 9-2 Global Mobile Messaging Revenue (In US$ Billion), 2011 - 20169.1 OTT MessagingFigure 9-3 Global OTT Messaging Traffic (In Trilion), 2011 - 20169.2 SMS, MMS, Mobile E-Mail and IM - What the Future Holds?Figure 9-4 Global Mobile Messaging Traffic by Type (In Billion), 2012 - 2016Figure 9-5 Global Mobile Messaging Traffic by Type (In %), 2012 - 2016Figure 9-6 Global Mobile Messaging Traffic Share by Type (In %), 2012Figure 9-7 Global Mobile Messaging Traffic Share by Type (In %), 2016Figure 9-8 Global SMS Traffic (In Billion), 2011 - 2016Figure 9-9 Global MMS Traffic (In Billion), 2011 - 2016Figure 9-10 Global Mobile Email Traffic (In Billion), 2012 - 2016Figure 9-11 Global Mobile IM Traffic (In Billion), 2011 - 2016Figure 9-12 Global SMS Users (In Million), 2011 - 2016Figure 9-13 Global MMS Users in Consumer segment (In Million), 2011 - 2016Figure 9-14 Global Mobile Email Users (In Million), 2011 - 2016Figure 9-15 Global Business Mobile IM Users (In Million), 2011 - 2016Figure 9-16 Influential Factors that affect Uptake of Mobile Messaging ServicesChapter 10: MBB - Thought Provoking Case Studies10.1 Case Study 1: NTT DoCoMo, JapanTable 10-1 Quick Facts - NTT DoCoMo, Japan10.1.1 About the Operator10.1.2 Why NTT DoCoMo?Figure 10-1 NTT DoCoMo Subscriptions (In Thousands), FY2008 - FY2011Figure 10-2 Subscriber Share of MNOs in Japan (In %), FY2011Figure 10-3 FOMA (3G) Subscriptions of NTT DoCoMo (In Million), FY2010 and FY2011Figure 10-4 Xi (LTE) Subscriptions of NTT DoCoMo (In Thousands), FY2010 and FY2011Figure 10-5 Packet ARPU of NTT DoCoMo (In JPY), FY2008 - FY2011Figure 10-6 NTT DoCoMo Subscriptions (In Million) and Churn Rate (In %), FY2008 - FY2011Figure 10-7 NTT DoCoMo Subscriber Segment by Network Coverage (In %), October 2012Figure 10-8 NTT DoCoMo Smartphone Sales FOMA Vs. Xi (In Million Units), Fy2010 - FY2012Figure 10-9 NTT DoCoMo d-market Revenue (in Yen Billion), FY2012 and FY2015Figure 10-10 NTT DoCoMo VIDEO Store Subscribers (In Million), 201210.2 Case Study 2: Ncell, NepalTable 10-2 Quick Facts - Ncell, Nepal10.2.1 About the Operator10.2.2 Rationale behind selecting Ncell10.2.3 Ncell - Outperforming Competition!Figure 10-11 Ncell Subscribers (In Million), mid-July 2012 and mid-August 2012Figure 10-12 Ncell Revenue Share (In %), FY2009 - FY2011Figure 10-13 Ncell Revenue (In NPR Billion), FY2009 - FY201110.2.4 Recent Strategies and Developments10.2.4.1 Call UK at Rs. 4.99/min10.2.4.2 Ncell's Utsav Pack10.2.4.3 Ncell Express10.3 Case Study 3: Telkomsel, IndonesiaTable 10-3 Quick Facts - Telkomsel, Indonesia10.3.1 About the Operator10.3.2 Rationale behind the CaseFigure 10-14 Telkomsel Revenue (In IDR Trillion), 2009 - 2011 and Q1 2012Figure 10-15 Telkomsel Revenue Break-up (Data and VAS Vs. SMS Vs. Voice) (In IDR Trillion), 2009 - 2011 and Q1 2012Figure 10-16 Telkomsel Revenue Break-up (Data and VAS Vs. SMS Vs. Voice) (In %), 2009 - 2011 and Q1 2012Figure 10-17 Telkomsel Data Revenue Contribution (In %), 2009 - Q1 2012Figure 10-18 Telkomsel Subscribers (In Million), 2012 March, 2012 June and 2012 OctFigure 10-19 Telkomsel Subscribers (In Thousands), 2007-2011Figure 10-20 Telkomsel SMS (Chargeable) Traffic (In Billion), 2007-201110.3.3 Success EnablersTable 10-4 Telkomsel, Indonesia - VAS, SMS and Broadband Services10.4 Case Study 4: Vodafone, IndiaTable 10-5 Quick Facts - Vodafone, India10.4.1 About the Operator10.4.2 Rationale behind the CaseFigure 10-21 Vodafone India Total Revenue (In INR Billion), H1 FY2011 - H1 FY2013Figure 10-22 Vodafone India Messaging Revenue (In INR Billion), H1 FY2011 - H1 FY2013Figure 10-23 Vodafone India Data Revenue (In INR Billion), H1 FY2011 - H1 FY2013Figure 10-24 Vodafone India Messaging Vs. Data Revenue (In INR Billion), H1 FY2011 - H1 FY2013Figure 10-25 Vodafone India Customers (In Million), Q3 FY2011 - Q2 FY2013Figure 10-26 Vodafone India ARPU (In INR), Q3 FY2011 - Q2 FY2013Figure 10-27 Vodafone India Prepaid ARPU (In INR), Q3 FY2011 - Q2 FY2013Figure 10-28 Vodafone India Contract ARPU (In INR), Q3 FY2011 - Q2 FY201310.4.3 Key Strategies to Drive Mobile Broadband UsageTable 10-6 Vodafone India 3G Services, November 201210.4.3.1 Vodafone India 3G Data PlansTable 10-7 Vodafone India Prepaid 3G Tariff Plans, November 2012Table 10-8 Vodafone India Postpaid 3G Tariff plans, November 2012Table 10-9 Vodafone India Unlimited Postpaid 3G Tariff plans, November 2012Chapter 11: Mobile Applications - An Exhaustive Analysis of Platforms, App Stores, Business Models, and Regional Forecasts on App Downloads and Revenues 2013 - 201611.1 Mobile Applications OverviewFigure 11-1 Average Number of Apps Installed on a Smartphone, 2011 and 2012Figure 11-2 US Web vs. Mobile App vs. TV Consumption per day (In Minutes), 2010 - 201211.2 Mobile App Stores - Flooding To Quench Users' ThirstTable 11-1 Major App Stores11.3 Developments in Smartphone App MarketsTable 11-2 Six Major Trends Shaping the Smartphone Application Ecosystem11.4 Business Models of App StoresFigure 11-3 Obstacles of Third Party App Developer ProgramsTable 11-3 Different Approaches to Working with ACPs11.5 Market Trends and Outlook11.5.1 Free Mobile Applications Dominate the App MarketFigure 11-4 Worldwide Mobile Apps Downloads - Free vs. Paid (In %), 2012Table 11-4 Worldwide Mobile Apps Downloads Forecast - Free vs. Paid (In Million), 2011 - 2016Figure 11-5 Worldwide Mobile Apps Downloads Forecast - Free vs. Paid (In Million), 2011 - 2016Figure 11-6 Worldwide Mobile Apps Downloads Forecast (In Billion), 2011 - 2016Figure 11-7 Worldwide Free Mobile Apps Downloads Forecast (In Billion), 2011 - 2016Figure 11-8 Worldwide Mobile Apps Downloads Forecast - Free vs. Paid (In %), 2012 and 201611.5.2 Competitive LandscapeFigure 11-9 Mobile App Store Size (In Numbers), September 2012Figure 11-10 Worldwide Average App Revenue per User by Operating System (In US$), 201211.5.3 Application CategoriesFigure 11-11 Worldwide Smartphone App Consumption per day by Category (In Minutes), Q1 2011 and Q1 2012Figure 11-12 Fastest Growing App Categories - Based on Growth in Minutes Spent per Active User from October 2011 to March 201211.5.4 Sources of RevenueTable 11-5 Mobile Apps Revenue Sources (In %), 2012Figure 11-13 Mobile Apps Revenue Sources (In %), 201211.5.5 Mobile App RevenueFigure 11-14 Worldwide Mobile App Revenue Forecast (In US$ Billion), 2011 - 2016Figure 11-15 iOS Revenue in Key Markets (In %), October 2012Figure 11-16 Google Play Revenue in Key Markets (In %), October 2012Figure 11-17 Revenue Generated by Applications Available in the Local Languages and Apps Available in Local Language (In %), May 201211.6 Overview of top Five Most Popular Social Networking Sites, and their Affect on MBB UptakeTable 11-6 Worldwide Top Five Most Popular Social Networking Sites, 2012Figure 11-18 Facebook Users by Region (In Million), September 2012Figure 11-19 Worldwide Facebook Penetration Rate (In %), Q1 2011 and Q1 2012Figure 11-20 Facebook Net Income (In US$ Billion), 2009 - 2011Figure 11-21 Top 20 Countries by Number of Twitter Accounts (In Million), July 2012Figure 11-22 Worldwide Twitter Ad Revenue Forecast (In US$ Million), 2010 - 2016Figure 11-23 Twitter Ad Revenue Forecast - US vs. Non-US (In US$ Million), 2011 -2016Figure 11-24 LinkedIn Total Revenue (In US$ Million), Q2 2010 - Q2 2012Figure 11-25 LinkedIn Total Revenue by Segment (In US$ Million), Q2 2010 - Q2 2012Figure 11-26 Myspace Revenue (In US$ Million), 2011 and 2012Figure 11-27 Google+ Users (In Million), June 2011 - June 201211.7 Key Elements of Facebook and Twitter11.7.1 Why people love Facebook?11.7.2 What's so special about Twitter?11.8 Communication Styles in different Social Settings11.9 So Which Social Network is the Best?11.10 What is an App-Centric Business Model?Figure 11-28 App-Centric Business Model - Explained11.11 What is an Operator-Centric Business Model?Figure 11-29 Operator-Centric Business Model - ExplainedFigure 11-30 Revenue sharing in Operator-Centric Business ModelChapter 12: Mobile Applications - Business Models and Case Studies12.1 Case Study 1: Apple App Store [Side by Side Comparison with Google Play]Figure 12-1 Number of Applications on iTunes App Store vs. Google Play, July 2008 - July 2012Figure 12-2 Apple App Store Paid vs. Free Applications (In %), 2012Figure 12-3 iOS Application Downloads in Key Markets (In %), October 2012Figure 12-4 Google Play Application Downloads in Key Markets (In %), October 2012Figure 12-5 Apple App Store Revenue (In US$ Billion), 2011 and 2012Figure 12-6 Average Prices of Most Popular Apps - iPad vs. iPhone vs. Android (In US$), January 201212.1.1 Business Model12.1.2 Key Developments12.2 Case Study 2: BlackBerry WorldFigure 12-7 BlackBerry Apps (in Numbers), January 2012, April 2012 and September 2012Figure 12-8 BlackBerry Apps Downloads, January 2012 and September 2012Figure 12-9 Average Revenue per App per Month (in US$), 2012Table 12-1 BlackBerry World - App Categories, 201212.2.1 Business ModelChapter 13: So, Are You Ready for ‘The MBB Grand Prix 2013 - 2016'? 13.1 Present Situation of Mobile Broadband (2011-2012)13.2 The Path Ahead13.2.1 Underserved Markets13.2.2 Unserved Markets13.2.3 Matured MarketsTable 13-1 Strategies to Cope with Increasing Demand for Data Services over Mobile Networks

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