Table of Contents
|
| 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 |
| Table 1: |
Global Mobile Broadband and Fixed-Line Broadband Penetration (2010YE) |
| Chart 1: |
Global Mobile Broadband and Fixed-Line Broadband Subscriber Base (2010YE, millions) |
| Chart 2: |
Regional MBB Subscriber Base (2010YE, millions) |
| Chart 3: |
Regional Fixed-Line Broadband Subscriber Base (2010YE, millions) |
Chart 4:
|
Global Mobile Broadband and Fixed-Line Broadband Penetration Rate (2010YE) |
Chart 5:
|
Global Mobile Broadband and Fixed-Line Broadband Annual Growth (Y-o-Y 2010) |
Table 2:
|
Regional Mobile Broadband and Fixed-Line Broadband Subscription Rate per 100 People (2010YE) |
Chart 6:
|
Regional MBB Subscription Rate per 100 People (2010YE) |
Chart 7:
|
Regional Fixed-Line Broadband Subscription Rate per 100 people (2010YE) |
| 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 Dialup |
| 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 |
| 2.8 |
Global Market Share of Different Connection Types (2010YE) |
Chart 8:
|
Global Market Share of Different Broadband Connection Types (2010YE) |
| Table 3: |
Comparison of Broadband and Narrowband |
|
|
| Chapter 3: Critical Evaluation of the Worldwide Mobile Broadband Plans, and Advisories – Operator-Wise |
|
|
| 3.1 |
Europe |
| 3.1.1 |
United Kingdom
|
Table 4:
|
Comparison of Mobile Broadband Plans in the UK |
| 3.1.1.1 |
Analysis |
| 3.1.2 |
Italy |
Table 5:
|
Comparison of Mobile Broadband Plans in Italy |
| 3.1.2.1 |
Analysis |
| 3.1.3 |
Germany |
| Table 6: |
Comparison of Mobile Broadband Plans in Germany |
| 3.1.3.1 |
Analysis |
| 3.1.4 |
France |
| Table 7: |
Comparison of Mobile Broadband Plans in France |
| 3.1.4.1 |
Analysis |
| 3.2 |
North America (USA & Canada) |
| 3.2.1 |
AT&T Mobile Broadband Plans |
| 3.2.1.1 |
AT&T Current Offerings and Future Strategy |
| 3.2.2 |
Verizon Wireless Mobile Broadband Plans |
| Table 8: |
Verizon's MBB Offerings
|
| 3.2.2.1 |
Verizon Wireless LTE Offering, Future Strategy and Forecast |
| 3.2.3 |
Sprint Nextel Mobile Broadband Plans |
| 3.2.3.1 |
Sprint Nextel WiMAX Offering, Future Strategy and Forecast |
| 3.2.4 |
T-Mobile Mobile Broadband Plans |
| 3.2.5 |
U.S. Cellular Mobile Broadband Plans |
| Table 9: |
Mobile Broadband Plans in the US (Q1 2011) |
| 3.2.6 |
Analyses of Mobile Broadband Plans in the US |
| 3.3 |
Latin America (Argentina, Brazil, Mexico and Jamaica) |
| 3.3.1 |
Argentina |
| 3.3.2 |
Brazil |
| 3.3.3 |
Mexico |
| 3.3.4 |
Analyses of Mobile Broadband Plans in Latin America |
| 3.4 |
Asia Pacific |
| 3.4.1 |
India |
| 3.4.1.1 |
Reliance (RCOM) |
| Table 10: |
Reliance Mobile Broadband Plans |
| 3.4.1.2 |
BSNL |
| Table 11: |
BSNL’s Current 3G Prepaid Tariff Plan |
| 3.4.1.3 |
Bharti Airtel Ltd. |
| Table 12: |
Bharti Airtel 3G Postpaid Plan |
| 3.4.1.4 |
Vodafone – MBB offerings in India |
| Table 13 |
Vodafone’s Postpaid Plans |
| 3.4.1.5 |
Tata Teleservices Ltd. |
| Table 14: |
Tata Photon Plus’ Prepaid Broadband Tariffs |
| Table 15: |
Tata Photon Plus’ Time Based Data Plan(s) |
| 3.4.1.6. |
Analyses of Mobile Broadband Plans in India |
| 3.4.2 |
China |
| 3.4.2.1 |
China Mobile Ltd. |
| Table 16: |
All inclusive Rental Charges (Includes USB Modem Stick & Allocated Data) |
| Table 17: |
All inclusive Rental Charges (Includes Equipment & Allocated Data) |
| 3.4.2.2 |
China Mobile Hong Kong Ltd. |
| Table 18: |
3G Mobile Broadband Web Talk and Smartphone Tariff Plan |
| 3.4.2.3 |
China Unicom Ltd. |
| Table 19: |
China Unicom’s iPhone 4 16GB, 24 Months Plan |
| Table 20: |
China Unicom’s iPhone 4 32GB, 24 Months Plan |
| 3.4.2.4 |
Analyses of Mobile Broadband Plans in China |
| 3.4.3 |
Japan |
| 3.4.3.1 |
NTT DoCoMo |
| Table 21: |
FOMA Basic Monthly Plans |
| 3.4.3.2 |
Softbank |
| Table 22: |
Softbank’s White MBB Plan |
| 3.4.3.3 |
Analyses of Mobile Broadband Plans in Japan |
| 3.4.4 |
Australia |
| 3.4.4.1 |
iPrimus Telecom |
| Table 23: |
iPrimus’s Mobile Broadband Plans |
| 3.4.4.2 |
Telstra |
| Table 24: |
Telstra’s Monthly Postpaid MBB Plans |
| 3.4.4.3. |
Analyses of Mobile Broadband Plans in Australia |
| 3.5 |
Africa |
| 3.5.1. |
South Africa |
| 3.5.1.1 |
MTN Mobile Broadband Plans |
| Table 25: |
MTN Mobile Internet Pack |
| Table 26: |
MTN Mobile Internet Medium Plan |
| Table 27: |
MTN Mobile Internet High Plan |
| 3.5.1.2 |
Zain |
| Table 28: |
‘Pay as you go’ eeZee e-GO Plan |
| Table 29: |
Postpaid Zain e-GO Plan |
| 3.5.2. |
Ghana |
| 3.5.2.1 |
Zain |
| 3.5.3. |
Libya |
| 3.5.3.1 |
Vodafone Al Madar |
| Table 30: |
Al Madar’s Raneen Prepaid Plan |
| Table 31: |
Al Madar’s Tawasul Prepaid Plan |
| Table 32: |
Al Madar’s Shabab Prepaid Plan |
| Table 33: |
Al Madar’s Postpaid Plan |
| 3.5.4 |
Nigeria |
| 3.5.4.1 |
MTN
|
| Table 34: |
MTN’s Data Plans/Bundles |
| Table 35: |
MTN’s Postpaid Plans |
| 3.5.5 |
Kenya |
| 3.5.5.1 |
Orange Mobile |
| Table 36: |
Orange’s Prepaid Price Plan |
| Table 37: |
Orange’s Postpaid Price Plan |
| 3.5.5.2 |
Safaricom |
| Table 38: |
Safaricom’s Prepaid Plans |
| Table 39: |
Safaricom’s Postpaid Plans |
| 3.5.4.3 |
Analyses of Mobile Broadband Plans in Africa |
| 3.6. |
Middle East |
| 3.6.1 |
UAE AND KSA |
| 3.6.1.1. |
Etisalat |
| Table 40: |
Etisalat’s Postpaid 3G MBB Plans |
| Table 41: |
Etisalat’s Combined 3G Pre & Postpaid Plans |
| 3.6.2 |
Bahrain |
| 3.6.2.1 |
Bahrain Telecommunications Company (BATELCO) |
| Table 42 |
Batelco 3G MBB Tariff Plan |
| 3.6.2.2 |
Viva |
| Table 43: |
Viva MBB Postpaid Plans |
| Table 44: |
Viva MBB Prepaid Plans |
| 3.6.3 |
Analyses of Middle East Mobile Broadband Plans |
| |
|
Chapter 4: Regional Mobile Broadband Forecasts – Subscribers and Revenues 2011-2016
|
| 4.1 |
MBB Subscribers Forecast 2011-2016 |
| Chart 9: |
Global MBB Subscribers Forecast (2010YE, 2011 – 2016) |
| Chart 10: |
Regional MBB Subscribers in Past (2010YE, millions) |
| Chart 11: |
Regional MBB Subscribers in Past (2010YE, percentage) |
| Chart 12: |
Regional MBB Subscribers Forecast (2011, millions) |
| Chart 13: |
Regional MBB Subscribers Forecast (2016, millions) |
| Chart 14: |
Regional MBB Subscribers Magnitude (2011F – 2016F) |
| Table 45: |
Regional MBB Subscribers Forecast (2011-2016, millions) |
| Chart 15: |
Asia-Pacific MBB Subscribers Forecast (2011-2016, millions) |
| Chart 16: |
Europe MBB Subscribers Forecast (2011-2016, millions) |
| Chart 17: |
North America MBB Subscribers Forecast (2011-2016, millions) |
| Chart 18: |
Latin America MBB Subscribers Forecast (2011–2016, millions) |
| Chart 19: |
Africa MBB Subscribers Forecast (2011–2016, millions) |
| Chart 20: |
Middle East MBB Subscribers Forecast (2011–2016, millions) |
| 4.2 |
MBB Revenues Forecast 2010YE, 2011-2016 |
| Chart 21: |
Global MBB Revenues Forecast (2010, 2011-2016) |
| Chart 22: |
Regional MBB Revenues Magnitude (2010, 2011F – 2016F) |
| Table 46: |
Regional MBB Revenues Forecast (2011-2016, billions) |
| Chart 23: |
Regional MBB Revenues Forecast (2011, billions) |
| Chart 24: |
Regional MBB Revenues Forecast (2016, billions) |
| Chart 25: |
Asia Pacific MBB Revenues Forecast (2010, 2011–2016, billions) |
| Chart 26: |
Europe MBB Revenues Forecast (2010, 2011 – 2016, billions) |
| Chart 27: |
North America MBB Revenues Forecast (2010, 2011–2016, billions) |
| Chart 28: |
Latin America MBB Revenues Forecast (2010, 2011–2016, billions) |
| Chart 29: |
Africa MBB Revenues Forecast (2010, 2011–2016, billions) |
| Chart 30: |
Middle East MBB Revenues Forecast (2010, 2011–2016, billions) |
| |
|
Chapter 5: Roadmap to Build a Fail-safe MBB Business Platform
|
| Table 47: |
High Speed Networks - Regional (March 2010) |
| 5.1 |
MBB Staircase |
| 5.2 |
GSM/ 3GPP1 Family |
| 5.2.1 |
EDGE Evolution |
| Table 48: |
Benefits of Edge |
| 5.2.2 |
UMTS (Universal Mobile Telecommunications System) |
| 5.2.3 |
HSPA (High Speed Packet Access) and HSPA+ |
| 5.2.4 |
LTE (Long Term Evolution) |
| 5.2.4.1 |
LTE, a Road to LTE Advanced |
| 5.2.5 |
CDMA/ 3GPP2 Family |
| 5.2.5.1 |
CDMA2000 1XEV-DO (Evolution Data Only) Revision 0 |
| 5.2.5.1.1 |
Standard Revision and path towards CDMA EV-DO Revision A and Revision B |
| 5.2.5.1.2 |
TIA-856 Revision 0 |
| 5.2.6 |
WiMAX (Worldwide Interoperability for Microwave Access) |
| Table 49: |
Forecast for 3G+ Technologies for 2016 |
| Chart 31: |
User Adoption Growth Forecast for 3G+ Technologies for 2016 |
| 5.2.6.1 |
LTE vs. WiMAX: Who Would Win, Finally? |
| 5.2.7 |
Wi-Fi |
| Table 50: |
Wi-Fi SWOT Analysis |
| 5.2.8 |
Mi-Fi |
| Table 51: |
Regional Penetration of Rest of the Technologies |
| 5.3 |
Mobile Broadband Catalysts and Hindrances |
| Table 52: |
Mobile Broadband Catalysts |
| Table 53: |
Mobile Broadband Hindrances |
| 5.4 |
Mobile Broadband Devices – Viability and Usage |
| 5.4.1 |
USB Modems/ USB Dongles |
| Table 54: |
SWOT Analysis of USB Modem / USB Dongle |
| 5.4.2 |
Embedded Modems |
| Table 55: |
Partnerships between MNOs and Vendors between 2009-2011 and Services
|
| 5.4.3 |
PC Cards |
| 5.4.4 |
Mobile Phone Handsets |
| |
|
Chapter 6: Mobile Internet Traffic – Regional Forecasts, Smart Offloading and Innovative Techniques to Rein-in the ‘Raging Bull’; and Methodology to Fuel MBB ARPUs 2011 - 2016
|
| 6.1 |
Global Traffic Metre – Accidents Waiting to Happen |
| Chart 32: |
Global Application Usage and Growth (2010YE) |
| Chart 33: |
Mobile Data Traffic (2010YE – 2016F, Exabytes/month) |
| Table 55: |
Regional Mobile Data Traffic (2010YE – 2016F, Petabytes/month) |
| Chart 34: |
Regional Mobile Data Traffic (2010YE – 2016F, Petabytes/month) |
| Table 56: |
Global Traffic Share and CAGR by Devices (2010YE – 2016F, Petabytes/month) |
| Chart 35: |
Global Traffic Share and CAGR by Devices (2010YE – 2016F, Petabytes/month) |
| Table 57: |
Mobile Services’ Contribution to Data Traffic (2010YE – 2016F, Petabytes/month) |
| Chart 36: |
Mobile Services’ Contribution to Data Traffic (2010YE – 2016F, Petabytes/month) |
| 6.2 |
Manage Your Data Traffic Now, or Perish! |
| 6.3 |
Traffic Offloading Techniques – A Shredding Analysis |
| 6.4 |
Scope of Traffic Offloading Practices – An Eye-Opener |
| 6.5 |
Femtocell vs. Wi-Fi for Data Offloading – Which would make the ultimate cut? |
| 6.6 |
What are the Alternatives to Traffic Offloading Solutions? |
| Chart 37: |
Traffic Management Chaos |
| 6.7 |
Feasibility of Offloading Onto Other Networks |
| 6.8 |
Different Devices Need Different Concepts |
| 6.9 |
MBB Data ARPUs – Let’s Fuel-up Your Tanks Now! |
| 6.10 |
Regional Mobile Broadband ARPU Forecasts (2011 - 2016) |
| 6.10.1 |
North America (2011F–2016F) |
| Chart 38: |
MBB Connections and Penetration Rate in North America (2010YE, 2011F- 2016F) |
| Chart 39: |
MBB ARPUs of North America (2010YE, 2011F- 2016F) |
| 6.10.2 |
Europe (2011F – 2016F) |
| Chart 40: |
MBB Connections and Penetration Rate in Europe (2010, 2011F- 2016F) |
| Chart 41: |
MBB ARPUs of Europe (2010YE, 2011F- 2016F) |
| 6.10.3 |
Asia Pacific (2011F – 2016F) |
| Chart 42: |
MBB Connections and Penetration Rate in Asia Pacific (2010YE - 2016F) |
| Chart 43: |
MBB ARPUs of Asia Pacific (2010YE-2016F) |
| 6.11 |
MBB ARPU Forecasts of Major MNOs (2010YE – 2016) |
| 6.11.1 |
AT&T Inc., USA |
| Chart 44: |
AT&T- MBB ARPU (2010, quarter-wise) |
| Chart 45: |
AT&T- MBB ARPU Forecast (2011 - 2016) |
| 6.11.2 |
Bharti Airtel Ltd., India |
| Chart 46: |
Bharti Airtel - MBB ARPU (2010, quarter-wise) |
| Chart 47: |
Bharti Airtel - MBB ARPU Forecast (2011 - 2016) |
| 6.11.3 |
China Mobile Ltd., China |
| Chart 48: |
China Mobile - MBB ARPU (2010, quarter-wise)
|
| Chart 49: |
China Mobile - MBB ARPU Forecast (2011 - 2016)
|
| 6.11.4 |
NTT DoCoMo Ltd., Japan |
| Chart 50: |
NTT DoCoMo - MBB ARPU (2010, quarter-wise) |
| Chart 51: |
NTT DoCoMo - MBB ARPU Forecast (2011 - 2016) |
| 6.11.5 |
Verizon Wireless Inc., USA |
| Chart 52: |
Verizon Wireless - MBB ARPU Forecast (2011 - 2016) |
| 6.11.6 |
Sprint Nextel Corp., USA |
| Chart 53: |
Sprint Nextel - MBB ARPU Forecast (2011 - 2016) |
| |
|
Chapter 7: Mobile Broadband –Tasting the Success by Unheard-Of VAS Strategies; Driving MBB in Underserved Regions and Crashing the Untapped
|
| 7.1 |
How to Create an Irresistible Need for Mobile Broadband? |
| Table 58: |
Affect of Development, Resource Management and Networking on Society |
| 7.2 |
Have You Really Exhausted Your VAS Pipeline? Think Again! |
| 7.3 |
VAS Based On Subscription Services |
| 7.4 |
VAS Embedded In the Mobile Phone |
| 7.5 |
Have You Thought of These VAS…? Perhaps Not! |
| 7.6 |
Rural/ Underserved Regions – Opportunities and Challenges |
| 7.6.1 |
Opportunities |
| 7.6.2 |
Challenges |
| 7.7 |
Unserved Regions - Would They Ever Become Penetrable? |
| 7.8 |
Metropolitan Regions – Emerging Challenges |
| |
|
Chapter 8: Mobile Broadband – Regional Consumer Psychology, Usage Patterns and Volumes 2010 -2016
|
| Chart 54: |
Regional MBB Users (January 2011, percentage) |
| Chart 55: |
Regional MBB Users (January 2011, millions) |
| 8.1 |
Europe |
| Table 59: |
Mobile Broadband Users Forecast for Selected European Countries (2010YE-2016, millions) |
| Chart 56: |
MBB Users Forecast for France (2010YE – 2016) |
| Chart 57: |
MBB Users Forecast for Germany (2010YE – 2016) |
| Chart 58: |
MBB Users Forecast for Italy (2010YE – 2016) |
| Chart 59: |
MBB Users Forecast for Spain (2010YE – 2016) |
| Chart 60: |
MBB Users Forecast for UK (2010YE – 2016) |
| 8.2 |
Asia Pacific |
| Chart 61: |
MBB Users Forecast for Asia Pacific (2010YE – 2016, percentage) |
| 8.3 |
North America |
| Chart 62: |
MBB Users Forecast for North America (2010YE – 2016, percentage) |
| 8.4 |
Africa |
| Chart 63: |
MBB Users Forecast for Africa (2010YE – 2016F, millions) |
| 8.5 |
Middle East |
| Chart 64: |
MBB Users Forecast for Middle East (2010YE – 2016, millions) |
| |
|
Chapter 9.0 Mobile Broadband - Innovative Pricing Models for Different Consumer Segments and Churn Poisoning Ploys
|
| Chart 65: |
Important Factors behind a Successful Pricing Strategy |
| 9.1 |
Corporates |
| Chart 66: |
Workology of Mobile Broadband Plans |
| Table 60: |
Corporate Pricing Model by Vodafone |
| Table 61: |
A Possible Special Corporate Plan |
| 9.2 |
Individuals |
| Table 62: |
USB Drive/ Modem/ Express Cards Pricing Models for Individual Users |
| 9.2.1 |
A Possible Special Pricing Model for Individual Users |
| 9.3 |
Students |
| 9.3.1 |
A Possible Pricing Model for Students |
| Table 63: |
Vodafone’s USB Data Card MBB Plan for Students |
| 9.4 |
Heavy Users or Frequent Travelers |
| Table 64: |
Vodafone’s new Euro Traveler Mobile Broadband Initiative |
| 9.4.1 |
A Possible Pricing Plan for Frequent Travelers and Business Executives |
| 9.5 |
Light Users |
| 9.5.1 |
A Possible MBB Tariff Structure for Light Users |
| 9.6 |
Mobile Broadband Churn Poisoning Ploys |
| 9.6.1 |
Effective Strategies to Reduce Churn Rate and Retain Customers
|
| Table 65: |
Effective Techniques to Cut Churn |
| Table 66: |
Management of Post-paid and Pre-paid User Class |
| Chart 67: |
How to drive customer retention and loyalty? |
| |
|
Chapter 10: Global Mobile Messaging – Regional Forecasts on Volumes & Revenues, and Key Factors Affecting Usage 2011 - 2016
|
| 10.1 |
SMS, MMS, Mobile E-Mail and IM – What the Future Holds? |
| Chart 68: |
Regional Worldwide SMS Traffic (2010YE, billions) |
| Chart 69: |
Regional Worldwide SMS Traffic Forecasts (2011 - 2016, billions) |
| Chart 70: |
Regional Worldwide MMS Traffic (2010YE, billions) |
| Chart 71: |
Regional Worldwide MMS Traffic (2010YE, 2011F – 201F, billions) |
| Chart 72: |
Global SMS and MMS Traffic (2010YE, billions) |
| Chart 73: |
Global Mobile E-Mail Traffic (2010YE, 2011F – 2016F, billions) |
| Chart 74: |
Regional Mobile E-Mail Traffic (2010YE, 2011F – 2016F, billions) |
| Chart 75: |
Worldwide Mobile IM Traffic (2010YE, 2011F – 2016F, billions) |
| Chart 76: |
Regional Mobile IM traffic (2010YE, 2011F – 2016F, billions) |
| Chart 77: |
Mobile E-mail and Mobile IM Usage Worldwide (2010YE, millions) |
| Chart 78: |
Global SMS Revenues (2010YE – 2016F, billions) |
| Chart 79: |
Regional SMS Revenues (2010YE – 2016F, billions) |
| Chart 80: |
Global MMS Revenues (2010YE - 2016F, billions) |
| Chart 81: |
Regional MMS Revenues (2010YE - 2016F, billions) |
| Chart 82: |
Global Mobile E-Mail Revenues (2010YE - 2016F, billions) |
| Chart 83: |
Regional Mobile E-Mail Revenues (2010YE - 2016F, billions) |
| Chart 84: |
Global Mobile IM Revenues (2010YE - 2016F, billions) |
| Chart 85: |
Regional Mobile IM Revenues (2010YE – 2016F, billions) |
| Chart 86: |
Global Mobile Messaging Aggregated Revenues (2010YE, billions) |
| Chart 87: |
Global Mobile Messaging Aggregated Revenues (2010YE, 2011F - 2016F, billions) |
| Chart 87: |
Influential Factors that affect Uptake of Mobile Messaging Services |
| |
|
Chapter 11: Thought Provoking Case Studies
|
| 11.1 |
Case Study 1: China Mobile MMS 2010, China [Side-by-Side Comparison with China Unicom and China Telecom] |
| 11.1.1 |
About the Operator |
| 11.1.2 |
Rationale behind the Case |
| Chart 89: |
Subscriber base (2008–2010) |
| Chart 90: |
China Mobile and China Unicom - Subscribers’ Comparison (2008 – 2010, millions) |
| Chart 91: |
Growth in Percentage of China Mobile (2008 – 2010) |
| Chart 92: |
Total Subscriber growth of China Mobile, China Unicom and China Telecom (2008– 2010, millions) |
| Chart 93: |
3G User Growth (in millions) by December 2010 – China Mobile, China Unicom and China Telecom |
| Chart 94: |
Net Addition of Subscribers and Market Share of China Mobile (2008 – 2010) |
| Chart 95: |
MMS Users of China Mobile (2008 - September 2010, millions) |
| Chart 96: |
MMS Traffic of China Mobile and China Unicom (2009 – 2010, billions) |
| Chart 97: |
China Mobile MMS Usage Volume (2008 - 2010) |
| Chart 98: |
MMS Revenue of China Mobile (2009 – 2010, millions) |
| 11.1.3 |
What made China Mobile Succeed? |
| 11.1.4 |
The Charm of China Mobile MMS |
| 11.1.5 |
Development Factors |
| 11.1.6 |
New Arenas and New Models to expand the Blue Ocean Markets |
| Chart 99: |
Highlights of Result |
| 11.2 |
Case Study 2: NTT DoCoMo, Japan |
| 11.2.1 |
About the Operator |
| 11.2.2 |
Why NTT DoCoMo? |
| Chart 100: |
Subscriber base of NTT DoCoMo (2009 - 2010, millions) |
| Chart 101: |
Market Share of MNOs in Japan |
| Chart 102: |
Subscriber Share of MNOs in Japan (201YE, millions) |
| Chart 103: |
3G Growth of NTT DoCoMo (2009 - 2010, Q1 2011F, percentage) |
| Chart 104: |
Packet ARPU of NTT DoCoMo (2009 - 2010) |
| Chart 105: |
Quarterly Churn Rate of NTT DoCoMo (2009) |
| Chart 106: |
Quarterly Churn Rate of NTT DoCoMo (2010) |
| Chart 107: |
BEE TV Subscribers (Q2 2009 - Q2 2010, millions) |
| Chart 108: |
i- Concier Service Users (2009, millions) |
| Chart 109: |
i- Concier Service Users (2010, millions) |
| 11.2.3 |
Strategies and Developments in 2010 |
| 11.2.4 |
Key Developments |
| Chart 110: |
Number of iD Users and Payment Terminals (2008–2010 August, millions) |
| 11.3 |
Case Study 3: Ncell, Nepal [An Underserved 3G Market] |
| 11.3.1 |
About the Operator |
| 11.3.2 |
Rationale behind Selecting Ncell |
| 11.3.3 |
3G Coverage of Ncell |
| Table 67: |
3G Coverage outside Kathmandu |
| Chart 111: |
No. of Subscribers (2009 – Q3 2010, millions) |
| Chart 112: |
Market Share of Ncell (2009 - 2010) |
| Chart 113: |
Net Revenue ((Q1 2009 - Q4 2009) & (Q1 2010 - Q3 2010), SEK millions) |
| 11.3.4 |
Strategy and Developments (2010 – 2011) |
| 11.4 |
Case Study 4: Telkomsel, Indonesia [Side by Side Comparison with XL-Axiata] |
| 11.4.1 |
About the Operator |
| 11.4.2 |
Rationale behind the Case |
| Chart 114: |
User base of Telkomsel and XL-Axiata (2010YE, millions) |
| Chart 115: |
Market Share Comparison of Telkomsel and XL-Axiata (Q3 2010) |
| Chart 116: |
SMS Traffic Comparison of Telkomsel and XL-Axiata (2009 – 2010YE, billions) |
| Chart 117: |
SMS Traffic Projection & Comparison for Telkomsel and XL- Axiata (2011F, billions) |
| Chart 118: |
Telkomsel Quarterly SMS Traffic (2009 – 2010YE, billions) |
| Chart 119: |
Telkomsel Quarterly SMS Revenues, and Comparison between 2009 and 2010 |
| 11.4.3 |
Success Enablers |
| Table 68: |
SMS Tariffs and Promotional Plans |
| 11.4.3.1. |
Continuous Upgrades |
| 11.4.3.2. |
Network Quality, Capacity and Maintenance |
| 11.4.3.3. |
Innovative SMS Push Strategies |
| Table 69: |
SMS Traffic Catalysts |
| 11.5 |
Case Study 5: Vodafone, India [Side by Side Comparison with Idea Cellular] |
| 11.5.1 |
About the Operator |
| 11.5.2 |
Rationale behind the Case |
| Chart 120: |
Vodafone and Idea Cellular Users (2010YE, millions) |
| Chart 121: |
Vodafone and Idea Cellular Users across Metros (May 2010) |
| Chart 122: |
Vodafone and Idea Cellular Users across Major States/ regions (May 2010) |
| Chart 123: |
Vodafone and Idea Cellular Market Share (2010YE) |
| Chart 124: |
Total Mobile Subscribers Growth in India (2010, millions) |
| Chart 125: |
Subscriber base Comparison - Vodafone and Idea Cellular (2010YE, millions) |
| Chart 126: |
SMS Traffic Comparison - Vodafone and Idea Cellular (Q3 2010, billions) |
| Chart 127: |
SMS Revenues Comparison - Vodafone and Idea Cellular (2010, millions) |
| 11.5.3 |
Key Strategies to Drive Usage |
| 11.5.4 |
Analysis of Vodafone 3G Services across Underserved India |
| |
|
Chapter 12: Mobile Applications – An Exhaustive Analysis of Platforms, App Stores, Business Models, and Regional Forecasts on App Subscribers and Revenues 2011 – 2016
|
| 12.1 |
Mobile Applications Overview |
| 12.2 |
Mobile App Stores – Flooding To Quench Users’ Thirst |
| Table 70: |
Top 10 Mobile Apps of 2011 - 2012 |
| Table 71: |
Different Mobile App Store offerings by OS/ Handset Vendors, Mobile Operators and Others |
| 12.3 |
Developments in Smartphone App Markets |
| Table 72: |
Six Major Trends Shaping the Smartphone Application Ecosystem by 2010YE |
| 12.4 |
Latest Trends and Opportunities for Mobile App Businesses in 2011 |
| 12.5 |
Business Models of App Stores |
| Chart 128: |
Obstacles of Third Party App Developer Programs |
| Table 73: |
Different Approaches to Working with ACPs |
| Chart 129: |
Free vs. Paid Mobile Apps |
| Chart 130: |
Price Comparison of Apps by Different Stores |
| Chart 131: |
Mobile App Store Sizes (2010YE)
|
| Chart 132: |
Global Mobile App Store Growth in 2010 |
| Chart 133: |
Comparison of Mobile App Platforms (2010 – 2011, percentage) |
| Chart 134: |
Mobile App Platforms – Comparative Growth (2010YE – 2011F, percentage) |
| 12.6 |
Sources of Revenue |
| Chart 135: |
Mobile Apps Revenue Sources (2010 - 2011) |
| Chart 136: |
Success Measures of Mobile Apps in 2010-2011 |
| 12.7 |
Top Mobile Socio-networking Apps |
| 12.8 |
A Critical Examination of the Five Most Popular Socio-networking Applications and Sites, and their Affect on MBB Uptake |
| Chart 137: |
Facebook Demographics in January 2011 |
| Chart 138: |
Regional Facebook Usage |
| Chart 139: |
Worldwide Facebook Users - Gender Wise |
| Chart 140: |
World Wide Twitter Usage |
| Chart 141: |
Worldwide LinkedIn Usage – Gender Wise |
| Chart 142: |
Top 10 Countries with LinkedIn Users (millions) |
| Chart 143: |
Worldwide LinkedIn Distribution by Industry (2010 - 2011) |
| Chart 144: |
Facebook, Twitter and LinkedIn - Head to Head Revenues (2010, millions) |
| 12.9 |
Key Elements of Facebook and Twitter |
| 12.9.1 |
Why People Love Facebook? |
| 12.9.2 |
What’s so special about Twitter? |
| 12.10 |
Communication Styles in different Social Settings |
| 12.11 |
So Which Social Network is the Best? |
| 12.12 |
What is an App-Centric Business Model? |
| Chart 145: |
App-Centric Business Model - Explained |
| 12.13 |
What is an Operator-Centric Business Model? |
| Chart 146: |
Operator-Centric Business Model - Explained |
| Chart 147: |
Revenue Sharing Operator-Centric Business Model |
| 12.14 |
Market Size |
| Chart 148: |
Mobile App User Base (2010YE – 2016F) |
| Table 74: |
Regional Mobile App User base (2010YE–2016F, millions) |
| Chart 149: |
Regional Mobile App User Share in 2010 (percentage) |
| Chart 150: |
Regional Mobile App Users Forecast for 2016 (percentage) |
| Chart 151: |
Regional Mobile App User Growth (2010YE – 2016F, percentage) |
| 12.15 |
Mobile App Revenues |
| Chart 152: |
Global Mobile App Revenues (2010YE – 2016F, billions) |
| Table 75: |
Regional Mobile App Revenues (2010YE – 2016F, billions) |
| Chart 153: |
Regional Mobile App Revenue Contribution in 2010 (percentage) |
| Chart 154: |
Mobile App Revenues in Europe (2010, 2011F - 2016F, billions) |
| Chart 155: |
Mobile App Revenues in Asia (2010, 2011F - 2016F, billions) |
| Chart 156: |
Mobile App Revenues in North America (2010, 2011F - 2016F, billions) |
| Chart 157: |
Mobile App Revenues in Rest of the World (2010, 2011F - 2016F, billions) |
| Chart 158: |
Regional Mobile App Revenue Contribution Forecast for 2016 (percentage) |
| Chart 159: |
Regional CAGR of Mobile Application Revenue (2010YE - 2016F, percentage) |
| |
|
Chapter 13: Mobile Applications – Business Models and Case Studies
|
| 13.1 |
Case Study 1: Apple Apps Store |
| Chart 160: |
No. of Applications in Apple App Store (January 2011) |
| Chart 161: |
Apple iPhone Development – Application Submissions (January 2011) |
| Chart 162: |
Apple iPhone Application Price Distribution (January 2011) |
| Chart 163: |
Most Popular Categories of Active Applications (Apple iPhone – January 2011) |
| 13.1.1 |
Business Model |
| 13.1.2. |
Key Developments |
| 13.2 |
Case Study 2: Samsung Bada Apps Store |
| 13.2.1 |
Vision Pertaining to Samsung Bada |
| 13.2.2 |
Business Model and Developments |
| Chart 164: |
Most Popular Samsung Bada Apps |
| Chart 165: |
Comparison of Samsung Bada Mobile App Trends with Smartphone & Feature Phones (2010 - 2011, percentage) |
| Chart 166: |
Samsung Bada Ecosystem |
| Chart 167: |
An App-Centric Focus |
| 13.2.3 |
Revenue Model of Samsung Bada |
| 13.3 |
Case Study 3: BlackBerry App World |
| Chart 168: |
Most Popular Blackberry Apps |
| 13.3.1 |
Business Model and Developments |
| 13.3.2 |
Revenue Model of BlackBerry |
| |
|
Chapter 14: So, Are You Ready for ‘The MBB Grand Prix 2011 – 2016’?
|
| 141 |
Present Situation of Mobile Broadband (2010-2011) |
| Chart 169: |
Global Mobile Broadband User base as a Percentage of Total Mobile Subscribers (2010 - 2016F) |
|
Chart 170:
|
Global Revenue CAGR of Mobile Data Services (2010 – 2016F, percentage) |
| 14.2 |
The Path Ahead |
14.2.1
|
Growth
|
| 14.2.2 |
Underserved Markets |
| 14.2.3 |
Unserved Markets
|
| 14.2.4 |
Matured Markets
|
| Table 76: |
Strategies to Cope with Increasing Demand of Data Services over Mobile Networks |
| Table 77: |
Which MBB Services New Adapters expect to be Using? |