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-the-minute Case Studies, and much more. An 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. Research Beam Model: Research Beam Product ID: 176613 3495 USD New
Mobile Broadband Grand Prix 2013-2016
 

Mobile Broadband Grand Prix 2013-2016

Mobile Broadband Grand Prix 2013-2016

Category : ICT & Media
Published On : February  2013
Pages : 150

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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-the-minute Case Studies, and much more..

An 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.

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.

Key Questions Answered

  • How to optimise data traffic so your networks breathe easier?
  • What are the latest penetration techniques MNOs are using across untapped markets?
  • How to drive consumer adoption of MBB across stubborn regions/ markets?
  • What are the most promising VAS offerings?  What role innovative VAS would play in cutting down the churn, and adding numbers to your user base?
  • Which MBB Services would thunder in years ahead? What will be the supporting Business Models?
  • How to segment your MBB user class and cater to their personalised needs?
  • What are the top MBB Business Settings out there? How other players could learn from them?
  • How could the App community exploit opportunity of doing business with MNOs, Handset Makers and Store owners – and their best propositions?
  • Where are the niche markets for desired Mobile App returns; and how early movers can milk these opportunities ?
  • What formulae do TeleResearch Labs advise to tap the unserved markets of AMEA?
  • What would be the psychology of smartphone users in next 6 years? What offerings smartphone makers can introduce to enchain the customer beyond conventional      ‘Handset Sales’ business model?
  • How do MNOs, App Community and Handset Makers collaborate to spread the MBB  Addiction?
  • What are the latest MBB threats? What old methods MNOs need to forget, and what are the latest out-of-the-box way outs?

Who might be interested in this Report?

Telecom Investors

With an obvious interest in the ongoing happenings within the mobile broadband segment of Telecoms, the report provides indepth-insight for telecom investors they cannot neglect. High concerns on the possible variance their investments might go through, is a good enough reason why this report will be beneficial for them.

Operators

For a better understanding of the dynamics of Mobile Broadband markets across the globe, this study would also provide global opportunities and competition. Business Case Studies, Absolute picture of the MBB Subscriber growth & psychology and recent technological developments, is a must read for better understanding of live scenarios.

Vendors

For better product development and giving a competitive edge to the product in sync with the technological revolution.

Service providers and Application Developers

Insight on the market expectations and forecasting risks and opportunities as MBB would plunder along global markets in the years ahead.

Content Providers

The possible changes that content development might go through and issues of adaptability solved.

Regulators

A study of regulatory standards maintained across the globe and the possible amendments that might be required.

Educational Institutes (esp. in the telecom or IT sector)

A complete analysis with case studies for in depth understanding of the MBB technology revolution. A compelling study and research material for both students and professors.

Chapter 1: Executive Summary



Chapter 2: Competitive Strategies and Analyses of the Worldwide Mobile, Fixed-Line Broadband Operators/ Vendors, and Propositions for 2011 - 2016

2.1 A Market Survey - Decoding the MBB Mindset of Consumers

2.2 Fixed-Line Broadband versus Mobile Broadband -Their Past, Your Future

Figure 2-1 Global Mobile Broadband and Fixed-Line Broadband Subscriptions (In Billion), 2011 & 2012

Figure 2-2 Mobile Broadband Subscriptions by Region (In Million), 2011 & 2012

Figure 2-3 Mobile Broadband Subscriptions by Region (In %), 2010 – 2012

Figure 2-4 Mobile Broadband Subscriptions by Region (In %), 2012

Figure 2-5 Fixed-Line Broadband Subscriptions by Region (In Million), 2011 & 2012

Figure 2-6 Fixed-Line Broadband Subscriptions by Region (In %), 2012

Table 2-1  Mobile Broadband and Fixed-Line Broadband Annual Growth (In %), 2011

Figure 2-7 Mobile Broadband Subscriptions per 100 Inhabitants (World and by Level of Development), 2010 - 2012

Figure 2-8 Fixed-Line Broadband Subscriptions per 100 Inhabitants (World and by Level of Development), 2010 - 2012

Figure 2-9 Fixed-Line Broadband & Mobile Broadband Subscriptions per 100 Inhabitants by Region, 2011

2.3 Pros and Cons of Mobile Broadband and Fixed-Line Broadband

2.3.1 Mobile Broadband

2.3.2 Fixed-Line Broadband

2.4 How fixed-line/ wireless broadband can maneuver around mobile broadband?

2.5 Competitive Strategies for Mobile and Fixed-Line Broadband Players

2.5.1 Fixed-Line Operators

2.5.2 Fixed-Line Vendors

2.5.3 Mobile Operators

2.5.4 Mobile Vendors

2.6 The Know-How of Prepaid and Postpaid MBB

2.7 Viability, Comparison and Evaluation of the Different Internet Mediums

2.7.1 Narrowband Dial-up

2.7.2 Narrowband ISDN

2.7.3 DSL Broadband

2.7.4 Cable Broadband

2.7.5 Wireless Broadband

2.7.6 Satellite Broadband

Table 2-2  Comparison of Broadband and Narrowband

Table 2-3  Comparison of Download Time in Dial-Up & Broadband Internet



Chapter 3: Regional Mobile Broadband Forecasts – Subscriptions and Revenues 2013 – 2016

3.1  MBB Subscriptions Forecast (2013 - 2016)

Figure 3-1  Global MBB Subscriptions Forecast (In Million), 2011 - 2016

Figure 3-2  MBB Subscriptions by Region (In Million), 2011 & 2012

Figure 3-3  MBB Subscriptions by Region (In %), 2012

Figure 3-4  MBB Subscriptions Forecast by Region (In Million), 2016

Figure 3-5  MBB Subscriptions Forecast by Region (In %), 2016

Figure 3-6  MBB Subscriptions Forecast by Region (In Million), 2012 – 2016

Figure 3-7  MBB Subscriptions Forecast by Region (In Million), 2012 & 2016

3.2  MBB Revenues Forecast 2013 – 2016

Figure 3-8  Global MBB Revenues (In Billion US$), 2010 – 2012

Figure 3-9  Global MBB Revenues Forecast (In US$ Billion), 2012 – 2016

Figure 3-10  MBB Revenues Forecast by Region (In US$ Billion), 2012 - 2016

Table 3-1 MBB Revenues Forecast by Region (In US$ Billion), 2012 - 2016



Chapter 4: Roadmap to Build a Fail-safe MBB Business Platform

4.1 MBB Staircase

4.2 GSM/ 3GPP1 Family

4.2.1 EDGE Evolution

Table 4-1  Benefits of EDGE

4.2.2 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 Advanced

Table 4-2  LTE Vs. LTE-Advanced: Key Performance Indicators

4.2.5 CDMA/ 3GPP2 Family

4.2.5.1  CDMA2000 1XEV-DO (Evolution Data Only) Revision 0

4.2.5.1.1   Standard Revision and path towards CDMA EV-DO Revision A and Revision B

4.2.5.1.2   TIA-856 Revision 0

4.2.6 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 %), 2016

Figure 4-2 MBB Subscriptions Forecast by Technology (In Million), 2016

4.2.7 Wi-Fi

Table 4-3  Wi-Fi SWOT Analysis

Figure 4-3 Wi-Fi Hotspots for Selected Operators (In Numbers), 2012

4.2.8 Mi-Fi

Table 4-4  Regional Penetration of Rest of the Technologies

4.3 Mobile Broadband Catalysts and Hindrances

Table 4-5  Mobile Broadband Catalysts

Table 4-6  Mobile Broadband Hindrances

4.4 Mobile Broadband Devices – Viability and Usage

4.4.1 USB Modems/ USB Dongles

4.4.2 Embedded Modems

4.4.3 PC Cards and Express Cards

4.4.4 Mobile Phone Handsets



Chapter 5: Mobile Internet Traffic – Regional Forecasts, Smart Offloading and Innovative Techniques to Rein-in the ‘Raging Bull’; and Methodology to Fuel MBB ARPUs 2013 – 2016

5.1 Global Traffic Meter – Accidents Waiting to Happen!

Figure 5-1 Mobile Data Traffic Y-o-Y Growth by Application Category (In %), 2012

Figure 5-2 Global Monthly Mobile Data Traffic Forecast (In EB), 2012 – 2016

Figure 5-3 Global Monthly Mobile Data Traffic per User Forecast (In GB), 2012 - 2016

Table 5-1  Mobile Data Traffic per Month by Region (In TB), 2012 - 2016

Figure 5-4 Mobile Data Traffic per Month by Region (In %), 2012 - 2016

Table 5-2  Mobile Data Traffic per Month by Device Type (In TB), 2012 - 2016

Figure 5-5 Mobile Data Traffic per Month by Device Type (In TB), 2012 - 2016

Table 5-3  Mobile Data Traffic per Month by Application Category (In TB), 2012 - 2016

Figure 5-6 Mobile Data Traffic per Month by Application Category (In %), 2012 – 2016

5.2 Manage Your Data Traffic Now, or Perish!

5.3 Traffic Offloading Techniques – A Shredding Analysis

5.4 Scope of Traffic Offloading Solutions – An Eye-Opener

5.5 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 Chaos

5.7 Feasibility of Offloading onto Other Networks

5.8 Different Devices Need Different Concepts

5.9 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 - 2012

5.9.2 Mobile Operator’s Revenue from Non-Voice Services

Figure 5-9 Share of Mobile Operator’s Revenue from Non-Voice Services (In %), 2005, 2011, 2012 & 2016

5.10 MBB ARPU Trends of Major MNOs

5.10.1   AT&T Inc., USA

Figure 5-10 AT&T Total Wireless Data ARPU (In US$), Q2 2011 – Q1 2012

Figure 5-11 AT&T Postpaid Wireless Data ARPU (In US$), Q3 2011 & Q3 2012

5.10.2   Bharti Airtel Ltd., India

Figure 5-12 Bharti Airtel Indian Market Data ARPU (In INR), Q4 FY12 & Q1 FY13

5.10.3   NTT, Japan

Figure 5-13 NTT Packet ARPU of MBB Services (FOMA, Xi), (In Yen), 2010 - 2012



Chapter 6: Mobile Broadband –Tasting the Success by Unheard-Of VAS Strategies; Driving MBB in Underserved Regions and Crashing the Untapped

6.1  How to create an irresistible need for mobile broadband?

Table 6-1 Affect of Development, Resource Management and Networking on Society

6.2  Have you really exhausted your VAS pipeline? Think Again!

6.3  VAS Based on Subscription Services

6.4  VAS Embedded In the Mobile Phone

6.5  Have you thought of these VAS…? Perhaps Not!

6.6  Rural/ Underserved Regions – Opportunities and Challenges

6.6.1  Opportunities

6.6.2  Challenges

6.7  Unserved Regions - Would they ever become penetrable?

6.8  Metropolitan Regions – Emerging Challenges



Chapter 7: Mobile Broadband – Regional Consumer Psychology, Usage Patterns and Volumes 2013 – 2016

Figure 7-1 Mobile Broadband Subscriptions by Region (In %), 2012

Figure 7-2 Mobile Broadband Subscriptions by Region (In Million), 2011 & 2012

7.1 Europe

Figure 7-3 Europe Mobile Broadband Subscriptions Forecast (In Million), 2012 – 2016

7.2 Asia Pacific

Figure 7-4 Asia Pacific Mobile Broadband Subscriptions Forecast (In Million), 2012 – 2016

7.3 The Americas

Figure 7-5 The Americas Mobile Broadband Subscriptions Forecast (In Million), 2012 – 2016

7.4 Africa

Figure 7-6 Africa Mobile Broadband Subscriptions Forecast (In Million), 2012 – 2016

7.5 Arab States & CIS

Figure 7-7 Arab States Mobile Broadband Subscriptions Forecast (In Million), 2012 – 2016

Figure 7-8 CIS Mobile Broadband Subscriptions Forecast (In Million), 2012 – 2016



Chapter 8: Mobile Broadband - Innovative Pricing Models for Different Consumer Segments and Churn Poisoning Ploys

Figure 8-1  Important Factors behind a Successful Pricing Strategy

8.1  Corporate

8.1.1  Vodafone Ireland’s Business Share Plan

Table 8-1 Vodafone Ireland’s Business Share Plan, November 2012

Table 8-2 Vodafone Ireland’s Business Share Plan, November 2012 – Key Features

Table 8-3 MBB (Tablet) Corporate Pricing Models by Vodafone UK, November 2012

8.2  Individual/ Personal

Table 8-4 Individual/ Personal MBB Plans by Vodafone New Zealand, November 2012

8.2.1  A Possible Special Pricing Model for Individual Users

8.3  Students

8.3.1  A Possible Pricing Model for Students

8.3.1.1   Vodafone Greece 'University Mobile Internet'

8.4  Heavy Users or Frequent Travelers

Table 8-5 Vodafone UK MBB Plan for Business Travelers, November 2012

8.4.1  A Possible Pricing Plan for Frequent Travelers and Business Executives

8.5  Light Users

Table 8-6 Vodafone Australia’s Prepaid Mobile Broadband Plans, November 2012

8.5.1  A Possible MBB Tariff Structure for Light Users

8.6  Mobile Broadband Churn Poisoning Ploys

8.6.1  Effective Strategies to Reduce Churn Rate and Retain Customers

Table 8-7 Effective Techniques to Cut Churn

Table 8-8 Management of Post-paid and Pre-paid User Class

Figure 8-2  How to Drive Customer Retention and Loyalty?



Chapter 9: Global Mobile Messaging – Forecasts on Volumes, Users (Consumer Vs. Business) & Revenues, and Key Factors Affecting Usage 2013 – 2016

Figure 9-1 Global Mobile Messaging Traffic (In Trilion), 2012 – 2016

Figure 9-2 Global Mobile Messaging Revenue (In US$ Billion), 2011 – 2016

9.1 OTT Messaging

Figure 9-3 Global OTT Messaging Traffic (In Trilion), 2011 – 2016

9.2 SMS, MMS, Mobile E-Mail and IM – What the Future Holds?

Figure 9-4 Global Mobile Messaging Traffic by Type (In Billion), 2012 - 2016

Figure 9-5 Global Mobile Messaging Traffic by Type (In %), 2012 - 2016

Figure 9-6 Global Mobile Messaging Traffic Share by Type (In %), 2012

Figure 9-7 Global Mobile Messaging Traffic Share by Type (In %), 2016

Figure 9-8 Global SMS Traffic (In Billion), 2011 - 2016

Figure 9-9 Global MMS Traffic (In Billion), 2011 - 2016

Figure 9-10 Global Mobile Email Traffic (In Billion), 2012 - 2016

Figure 9-11 Global Mobile IM Traffic (In Billion), 2011 - 2016

Figure 9-12 Global SMS Users (In Million), 2011 - 2016

Figure 9-13 Global MMS Users in Consumer segment (In Million), 2011 - 2016

Figure 9-14 Global Mobile Email Users (In Million), 2011 - 2016

Figure 9-15 Global Business Mobile IM Users (In Million), 2011 - 2016

Figure 9-16 Influential Factors that affect Uptake of Mobile Messaging Services



Chapter 10: MBB - Thought Provoking Case Studies

10.1 Case Study 1: NTT DoCoMo, Japan

Table 10-1  Quick Facts – NTT DoCoMo, Japan

10.1.1   About the Operator

10.1.2   Why NTT DoCoMo?

Figure 10-1 NTT DoCoMo Subscriptions (In Thousands), FY2008 – FY2011

Figure 10-2 Subscriber Share of MNOs in Japan (In %), FY2011

Figure 10-3 FOMA (3G) Subscriptions of NTT DoCoMo (In Million), FY2010 & FY2011

Figure 10-4 Xi (LTE) Subscriptions of NTT DoCoMo (In Thousands), FY2010 & FY2011

Figure 10-5 Packet ARPU of NTT DoCoMo (In JPY), FY2008 – FY2011

Figure 10-6 NTT DoCoMo Subscriptions (In Million) & Churn Rate (In %), FY2008 – FY2011

Figure 10-7 NTT DoCoMo Subscriber Segment by Network Coverage (In %), October 2012

Figure 10-8 NTT DoCoMo Smartphone Sales FOMA Vs. Xi (In Million Units), Fy2010 – FY2012

Figure 10-9 NTT DoCoMo d-market Revenue (in Yen Billion), FY2012 & FY2015

Figure 10-10 NTT DoCoMo VIDEO Store Subscribers (In Million), 2012

10.2 Case Study 2: Ncell, Nepal

Table 10-2  Quick Facts – Ncell, Nepal

10.2.1   About the Operator

10.2.2   Rationale behind selecting Ncell

10.2.3   Ncell – Outperforming Competition!

Figure 10-11 Ncell Subscribers (In Million), mid-July 2012 & mid-August 2012

Figure 10-12 Ncell Revenue Share (In %), FY2009 – FY2011

Figure 10-13 Ncell Revenue (In NPR Billion), FY2009 – FY2011

10.2.4   Recent Strategies and Developments

10.2.4.1  Call UK at Rs. 4.99/min

10.2.4.2  Ncell's Utsav Pack

10.2.4.3  Ncell Express

10.3 Case Study 3: Telkomsel, Indonesia

Table 10-3  Quick Facts – Telkomsel, Indonesia

10.3.1   About the Operator

10.3.2   Rationale behind the Case

Figure 10-14 Telkomsel Revenue (In IDR Trillion), 2009 – 2011 & Q1 2012

Figure 10-15 Telkomsel Revenue Break-up (Data & VAS Vs. SMS Vs. Voice) (In IDR Trillion), 2009 – 2011 & Q1 2012

Figure 10-16 Telkomsel Revenue Break-up (Data & VAS Vs. SMS Vs. Voice) (In %), 2009 – 2011 & Q1 2012

Figure 10-17 Telkomsel Data Revenue Contribution (In %), 2009 – Q1 2012

Figure 10-18 Telkomsel Subscribers (In Million), 2012 March, 2012 June & 2012 Oct

Figure 10-19 Telkomsel Subscribers (In Thousands), 2007-2011

Figure 10-20 Telkomsel SMS (Chargeable) Traffic (In Billion), 2007-2011

10.3.3   Success Enablers

Table 10-4  Telkomsel, Indonesia - VAS, SMS & Broadband Services

10.4 Case Study 4: Vodafone, India

Table 10-5  Quick Facts – Vodafone, India

10.4.1   About the Operator

10.4.2   Rationale behind the Case

Figure 10-21 Vodafone India Total Revenue (In INR Billion), H1 FY2011 - H1 FY2013

Figure 10-22 Vodafone India Messaging Revenue (In INR Billion), H1 FY2011 - H1 FY2013

Figure 10-23 Vodafone India Data Revenue (In INR Billion), H1 FY2011 - H1 FY2013

Figure 10-24 Vodafone India Messaging Vs. Data Revenue (In INR Billion), H1 FY2011 - H1 FY2013

Figure 10-25 Vodafone India Customers (In Million), Q3 FY2011 – Q2 FY2013

Figure 10-26 Vodafone India ARPU (In INR), Q3 FY2011 – Q2 FY2013

Figure 10-27 Vodafone India Prepaid ARPU (In INR), Q3 FY2011 – Q2 FY2013

Figure 10-28 Vodafone India Contract ARPU (In INR), Q3 FY2011 – Q2 FY2013

10.4.3   Key Strategies to Drive Mobile Broadband Usage

Table 10-6  Vodafone India 3G Services, November 2012

10.4.3.1  Vodafone India 3G Data Plans

Table 10-7  Vodafone India Prepaid 3G Tariff Plans, November 2012

Table 10-8  Vodafone India Postpaid 3G Tariff plans, November 2012

Table 10-9  Vodafone India Unlimited Postpaid 3G Tariff plans, November 2012



Chapter 11: Mobile Applications – An Exhaustive Analysis of Platforms, App Stores, Business Models, and Regional Forecasts on App Downloads and Revenues 2013 – 2016

11.1 Mobile Applications Overview

Figure 11-1 Average Number of Apps Installed on a Smartphone, 2011 & 2012

Figure 11-2 US Web vs. Mobile App vs. TV Consumption per day (In Minutes), 2010 – 2012

11.2 Mobile App Stores – Flooding To Quench Users’ Thirst

Table 11-1  Major App Stores

11.3 Developments in Smartphone App Markets

Table 11-2  Six Major Trends Shaping the Smartphone Application Ecosystem

11.4 Business Models of App Stores

Figure 11-3 Obstacles of Third Party App Developer Programs

Table 11-3  Different Approaches to Working with ACPs

11.5 Market Trends & Outlook

11.5.1   Free Mobile Applications Dominate the App Market

Figure 11-4 Worldwide Mobile Apps Downloads - Free vs. Paid (In %), 2012

Table 11-4  Worldwide Mobile Apps Downloads Forecast - Free vs. Paid (In Million), 2011 - 2016

Figure 11-5 Worldwide Mobile Apps Downloads Forecast - Free vs. Paid (In Million), 2011 - 2016

Figure 11-6 Worldwide Mobile Apps Downloads Forecast (In Billion), 2011 – 2016

Figure 11-7 Worldwide Free Mobile Apps Downloads Forecast (In Billion), 2011 - 2016

Figure 11-8 Worldwide Mobile Apps Downloads Forecast - Free vs. Paid (In %), 2012 & 2016

11.5.2   Competitive Landscape

Figure 11-9 Mobile App Store Size (In Numbers), September 2012

Figure 11-10 Worldwide Average App Revenue per User by Operating System (In US$), 2012

11.5.3   Application Categories

Figure 11-11 Worldwide Smartphone App Consumption per day by Category (In Minutes), Q1 2011 & Q1 2012

Figure 11-12 Fastest Growing App Categories - Based on Growth in Minutes Spent per Active User from October 2011 to March 2012

11.5.4   Sources of Revenue

Table 11-5  Mobile Apps Revenue Sources (In %), 2012

Figure 11-13 Mobile Apps Revenue Sources (In %), 2012

11.5.5   Mobile App Revenue

Figure 11-14 Worldwide Mobile App Revenue Forecast (In US$ Billion), 2011 - 2016

Figure 11-15 iOS Revenue in Key Markets (In %), October 2012

Figure 11-16 Google Play Revenue in Key Markets (In %), October 2012

Figure 11-17 Revenue Generated by Applications Available in the Local Languages & Apps Available in Local Language (In %), May 2012

11.6 Overview of top Five Most Popular Social Networking Sites, and their Affect on MBB Uptake

Table 11-6  Worldwide Top Five Most Popular Social Networking Sites, 2012

Figure 11-18 Facebook Users by Region (In Million), September 2012

Figure 11-19 Worldwide Facebook Penetration Rate (In %), Q1 2011 & Q1 2012

Figure 11-20 Facebook Net Income (In US$ Billion), 2009 - 2011

Figure 11-21 Top 20 Countries by Number of Twitter Accounts (In Million), July 2012

Figure 11-22 Worldwide Twitter Ad Revenue Forecast (In US$ Million), 2010 - 2016

Figure 11-23 Twitter Ad Revenue Forecast – US vs. Non-US (In US$ Million), 2011 -2016

Figure 11-24 LinkedIn Total Revenue (In US$ Million), Q2 2010 – Q2 2012

Figure 11-25 LinkedIn Total Revenue by Segment (In US$ Million), Q2 2010 – Q2 2012

Figure 11-26 Myspace Revenue (In US$ Million), 2011 & 2012

Figure 11-27 Google+ Users (In Million), June 2011 – June 2012

11.7 Key Elements of Facebook and Twitter

11.7.1   Why people love Facebook?

11.7.2   What’s so special about Twitter?

11.8 Communication Styles in different Social Settings

11.9 So Which Social Network is the Best?

11.10  What is an App-Centric Business Model?

Figure 11-28 App-Centric Business Model – Explained

11.11  What is an Operator-Centric Business Model?

Figure 11-29 Operator-Centric Business Model – Explained

Figure 11-30 Revenue sharing in Operator-Centric Business Model



Chapter 12: Mobile Applications – Business Models and Case Studies

12.1 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 2012

Figure 12-2 Apple App Store Paid vs. Free Applications (In %), 2012

Figure 12-3 iOS Application Downloads in Key Markets (In %), October 2012

Figure 12-4 Google Play Application Downloads in Key Markets (In %), October 2012

Figure 12-5 Apple App Store Revenue (In US$ Billion), 2011 & 2012

Figure 12-6 Average Prices of Most Popular Apps – iPad vs. iPhone vs. Android (In US$), January 2012

12.1.1   Business Model

12.1.2   Key Developments

12.2 Case Study 2: BlackBerry World

Figure 12-7 BlackBerry Apps (in Numbers), January 2012, April 2012 & September 2012

Figure 12-8 BlackBerry Apps Downloads, January 2012 & September 2012

Figure 12-9 Average Revenue per App per Month (in US$), 2012

Table 12-1  BlackBerry World – App Categories, 2012

12.2.1   Business Model



Chapter 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 Ahead

13.2.1   Underserved Markets

13.2.2   Unserved Markets

13.2.3   Matured Markets

Table 13-1  Strategies to Cope with Increasing Demand for Data Services over Mobile Networks



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