E1. Focus of the Report
Our Report “The Revenue Drill – Squeezing the most out of 2G/ 3G” is a strategic toolkit for unfolding the new revenue opportunities around 2G/ 3G as well as reviving the existing 2G/ 3G services to their fullest.
Despite all the excitement about 4G, it is important to note that although 2G connections have been declining since 2003, it still accounts for 70% of the total connections globally, and 2G will remain the second largest mobile technology for the rest of the decade. Moreover, 3G (which currently accounts for close to 30% connections globally) will continue to grow with the increasing penetration of smartphones, tablets, and other mobile broadband devices. In total, 2G and 3G will account for more than 80% of the total connections globally over the next 4 years.
In particular, 2G/ 3G will remain the most common mobile technology in Latin America, Africa, Middle East, Central and Eastern Europe, and Asia-Pacific (Excluding South Korea and Japan) for the next 4-6 years.
The purpose of our research is to help:
i) Mobile operators in formulating the right 2G/ 3G strategy over the next five years;
ii) Mobile operators that are mainly targeting price-conscious users, and the new bottom of the pyramid take up;
iii) Mobile operators in identifying the profitable 2G/ 3G opportunities across Latin America, Africa, Middle East, Central and Eastern Europe, and Asia-Pacific;
iv) Tier 2 mobile operators, that are severely reeling under competitive pressure from emerging market trends (such as increasing dominance of device manufacturers and OTT players), and finding it difficult to generate revenues;
v) Mobile operators that are forced to postpone their breakeven timelines;
vi) Mobile operators that are struggling to manage high operating cost, and are continuously losing investor confidence;
vii) Tier 1 mobile operators, that are interested in best utilisation of their 2G/ 3G network bandwidth, and;
viii) In opportunity spotting and scenario planning for network technologies (2G, 3G, 4G) with short term and long term cost-revenue implications.
E2. Scope of the Report
Here, we must specify that the Report is technology-independent: That is, the Report's sole purpose is to maximise revenues and profits from all the network resources irrespective of the level of technology you are currently operating at: 2G, 3G, or transitioning from 2G to 3G (or even transitioning from 3G to 4G). The report explores various ways by which you can identify and implement appropriate strategies to drive growth and innovation.
Keeping in sync with the theme we begin our Report with (Chapter 2) preparation for boosting 2G/ 3G Profitability – by overcoming the market challenges, making winning strategies, and identifying the competence required to boost up the profit margins.
The first section of the Chapter talks exclusively about disruptively overhauling the old business strategies. It has been widely observed in the telecom market, especially in the case of MNOs, that although everything is fine: customer base is increasing, users are subscribing to the services, the operators' portfolio is in place, but that's not reflecting into ARPUs. The reason is your customers are idle, either partially or fully. But, the question is: Why? One of the reasons is that somehow you are ignoring their needs or competition is offering better solutions or your users are looking for better solutions. Here comes the role of disruption – no matter what you offer - devices/ services/ software, you need to revamp them time and again to make them more useful and appealing to your users. You need to acclimatise and transform your offerings, otherwise you will be outdated.
We next tried to identify that what will drive the maximum revenue in medium term – voice, SMS/ MMS or broadband, and why operators need to re-examine their 2G/ 3G data strategy in emerging markets. The chapter further analyses the emerging trends in data pricing, mobile broadband, VAS business models, and prepaid/ postpaid strategies with exclusive cases.
A section is on Mobile Virtual Network Operators (MVNOs), and how MNOs can broaden their reach by collaborating with MVNOs and incrementing their revenues. Moreover, why and how an operator can itself enter a Greenfield market with minimal costs by operating as an MVNO has been analysed and interpreted.
Bharti Airtel's entry into emerging markets of Africa has been presented as a case study which would help mobile operators and vendors in devising a foolproof strategy by avoiding potential mistakes which many make in such initiatives.
Further, we have gauged the attractiveness of Greenfield markets and how mobile operators and vendors can identify particular segments which can be potential business cases, and which none of the other players have so far deduced.
Before moving on to the next chapter, we took into perspective the OTT Challenge (Communication and Media) and how operators can turn 'threats' into 'opportunities', especially in regards to the sudden upswing of OTT players. It's gradually becoming difficult to charge for communications services, so most OTT providers are forced to give their core messaging, voice, and video chat features free of cost. OTT providers are exlporing many revenue streams like ad-based or free-to-use basic functionality and paid premium functionality. How can MNOs adapt to these business models to offer cheaper/ free basic communication services? The Chapter critically analyses OTT battleground and strategies that are going to help telcos to overcome the challenges from OTT players.
As mobile broadband is definitely one of the biggest growth drivers for the industry, we have dedicated our next Chapter (3) to it. The chapter extensively covers the mobile broadband opportunity both globally as well as regionally. It provides an analysis of diverse consumer behaviour and usage patterns across different geographical regions, and related forecasts. Further, we have studies consumer behavior by segmenting it effectively, and presented few innovative pricing models, while side by side studying churn management, providing strategies to cut churn and retain customers. This chapter offers necessary tools to operators for devising right mix of offerings for exploring mobile broadband opportunity.
In Chapter 4 we have explored the most Profitable 2G/ 3G Mobile Services and Business Models to remain competitive in the future. The chapter contains an in-depth analysis of some of the most promising mobile services such as Mobile Advertising, Mobile Apps, M-Commerce, M-Health and Mobile Multimedia. Each section is loaded with some of the most successful/ noteworthy cases to make you easily visualise the revenue opportunities around them.
Chapter 5 provides ideal roadmaps for network modernisation and ways to minimise the total cost of network management.
Traffic migration offers significant advantages for network operators as the spectrum on which operators are running their 2G, 3G networks can be used to launch 4G network that can potentially bear 5 to 10 times more traffic. This is one of the major reasons that several operators across the world are considering decommissioning of 2G, 3G networks. However, it might not be always a wise decision, especially when an operator can generate more revenues from the 2G, 3G networks.
We have included certain 'progression' guidelines for operators as to how they might move from 2G to 3G and beyond with a case study on the network upgradation and modernisation strategies of Maxis Malaysia.
The Chapter further covers the important topics in modern mobile networks such as Evolved Packet Core (EPC), PCRF, Fixed Mobile Convergence (FMC), and Wi-Fi. All these are covered in detail with their strategic importance and ideal approaches towards them.
Chapter 6 is a complimentary section on LTE. Although the focus of the report is to generate maximum revenues from 2G/ 3G, this particular chapter has been provided as a food for thought to all the operators that are still on earlier technologies (2G/ 3G or WiMAX), and when and why they should launch LTE (however, the chapter is equally handy for the operators that have already launched LTE). Besides explaining and analysing the advantages of LTE, we have studied the global LTE deployment trend and uptake of leading LTE operators. Lastly, several global and regional forecasts on LTE subscribers and revenues for the next five years have been presented for evaluating the LTE market revenue opportunities.
We took into our ambit the past few years and for this particular study we regionally explored some of the prominent mobile operators, device makers, infrastructure providers and interviewed several telecoms experts, C-level and mid-level executives.
Information Sources: Major sources include both face to face and telephonic interviews with telecom industry experts and consumers. It also includes various surveys that were conducted in different regions of the world. Other sources comprise of organisations’ websites and financial reports, books, trade journals, magazines, white papers, industry portals and numerous government sources.
Forecasting Methodology: We used extensive database of macroeconomic and sector specific data to generate industry forecasts. We used Judgment based methods like the Delphi method and Extrapolation; Time series methods like Exponential smoothing, Cyclical and seasonal trends and Statistical modeling, as well as the Survey method. The initial baseline projection is computed with the most recent market data. After an initial baseline forecast, all probable future macroeconomic and industry specific occurrences and assumptions are taken into consideration to generate the final forecast.
Table of contents
Chapter 1: Executive Summary
Chapter 2: Boosting 2G/ 3G Profitability with Best Operator Practices
2.1 Strategies to Boost up Profit Margin
2.1.1 Which will drive the maximum revenue in medium term – voice, SMS/ MMS or broadband?
2.1.2 What should be your data strategy for maximising RoI?
2.1.3 Data Package – How to obtain a profitable mix which is appealing also?
188.8.131.52 Case Study: Verizon’s Share Everything Plan
2.2 MBB Data ARPUs
2.2.1 The Effect of Mobile Broadband on Operator’s Revenue (ARPU)
2.3 What should be your VAS strategy in different markets?
2.3.1 VAS Business Models for Emerging Markets: What to offer and how to monetise?
2.3.2 Matured Markets: What the market demands and how to meet the customers’ expectations?
2.4 Your Darling Dollar Strategy: Prepaid vs. Postpaid
2.4.1 Comparison of Go-to-Market Strategy – Unefon Mexico vs. Virgin Mobile UK
2.5 The Next Level – QoE, Success Mantra of the Future
2.6 Emerging Markets: Operators/ Vendors Need to Bet on for Future Growth
2.6.1 What should be your go-to-market strategy?
2.6.2 Case Study: Bharti Airtel
2.7 How lucrative are the Greenfield markets?
2.8 The MVNO Route
2.8.1 Why is it currently the best strategy to enter into telecoms market?
2.8.2 How MNOs can leverage MVNO opportunity to generate incremental revenue while keeping user
base and brand value intact?
2.8.3 How MVNOs can create a compelling value proposition?
184.108.40.206 Case Study: Virgin Mobile, UK
220.127.116.11 Case Study: Ortel Mobile, Europe
2.9 The OTT Challenge (Communication and Media)
2.9.1 How serious is it a threat for telecom operators and how secure is the future of OTT players?
2.9.2 Case Study: Tango- Leading OTT Mobile Video Calling Service
2.9.3 Case Study: KDDI-Skype Partnership – if you can't beat 'em, join 'em
2.9.4 Case Study: Hike – Be brave to beat yourself!
18.104.22.168 What propelled the Indian upstart to the top?
22.214.171.124 Hike’s route to revenue
2.9.5 Who wins the MNO – OTT Tug of War?
2.10 How to put the accelerator on the ARPU meter?
2.10.1 No Matter What You Offer – Devices/ Services/ Software - Today’s Telco Market
Needs DISRUPTIVE INNOVATION!
2.10.2 Why winning existing customers again and again is so much important?
Chapter 3: Mobile Broadband – Regional Consumer Psychology, Usage Patterns and Revenues 2014 – 2018
3.1 MBB Subscriptions & Revenue Forecast 2014 – 2018
3.1.2 Asia Pacific
3.1.3 North America
3.1.4 Latin America
3.1.6 Middle East
3.2 Rural/ Underserved Regions – Opportunities and Challenges
3.3 Unserved Regions
3.4 Metropolitan Regions – Emerging Challenges
3.5 Customer Segmentation, Pricing and Service Bundling
3.5.1 Effective Mobile Broadband Strategies to Reduce Churn Rate and Retain Customers
3.5.2 Mobile Broadband - Innovative Pricing Models for Different Consumer Segments
3.5.3 Social Media: Newer Tactics to win Spendthrifts – The Youths
3.5.4 Brand Presence – How social you are?
Chapter 4: Profitable 2G/ 3G Mobile Services and Business Models for 2014 and Beyond
4.1 Mobile Advertising Revenue Opportunity for MNOs
4.1.1 Case Study: Mobile Marketing and Wallet Platform WEVE
4.1.2 Case Study: AT&T AdWorks
4.1.3 Case Study: Global Advertising Alliance by Telefónica Digital and Pinsight Media+
4.2 Mobile Apps – What’s your App Strategy (MNOs, Vendors, App Stores, Developers)?
4.2.1 Monetising Your Business Models
4.2.2 Strategy for New App Launches
126.96.36.199 Fabrication Dilemma – Big Question “What to offer?”
188.8.131.52 App Categories
184.108.40.206 App Platforms: Where is the money – Android, iOS or …………?
4.2.3 Revenue Opportunities via Apps for Small-to-Midsized Vendors
220.127.116.11 Mobile App Revenue
4.2.4 Should every operator launch their own app store?
18.104.22.168 Case worth Analysing: Verizon Apps
4.2.5 MNOs, Vendors and App Developers’ Collaboration Opportunities
4.3 Opportunities in the M-Commerce Arena
4.3.1 M-Payment Market is Heating Up
22.214.171.124 MasterPass: A New M-Payment System from MasterCard
4.3.2 Measuring RoI for MNOs from M-Payment Services
126.96.36.199 Case Study from Kenya: Safaricom’s mobile money transfer service M-Pesa
4.3.3 Lean Principals for Consistent Growth
188.8.131.52 How to come up with Minimum Viable Products for maximum gains?
184.108.40.206.1 How did T-Mobile drive smooth m-payment adoption?
220.127.116.11 How to attract new customers?
18.104.22.168 Ways to Drive Customer Loyalty via Early Adopters
22.214.171.124 Retention and Brand Building using Disruptive Tactics
4.3.4 M-Payment Types
126.96.36.199 Premium SMS-based Transactional Payments
188.8.131.52 Direct Operator Billing
184.108.40.206 Mobile Web Payments (WAP)
220.127.116.11 NFC (Near Field Communication) Based Payments
4.3.5 Let’s Analyse the NFC Mobile Payment Market
18.104.22.168 NFC Device Ecosystem
4.3.6 KYC Opportunity: Unexplored Avenue in Banking
4.4 M-Health: Unveiling the Hidden Potential
4.4.1 M-Health Services Categories
4.4.2 How to drive M-Health adoption?
22.214.171.124 Barriers to M-Health Technology Adoption for Healthcare Providers
126.96.36.199 Barriers to M-Health Technology Adoption for Patients/ End Users
188.8.131.52 Ways to Overcome Challenges and Drive M-Health Adoption
4.4.3 M-Health Avenues
4.4.4 Case Study: Vodafone mHealth
4.4.5 Current Market Landscape and Future Revenue Potential
4.5 Monetising the Mobile Multimedia Services
4.5.1 Key Advantages
184.108.40.206 Growth in Data Revenue
220.127.116.11 Key Differentiator to Churn Control
4.5.2 Case Study: SK Telecom, South Korea
4.5.3 Strategies to Revive Mobile Multimedia Services
18.104.22.168 Which type of segmentation is best suited for multimedia services?
22.214.171.124 What to offer?
126.96.36.199 Business/ Revenue Model to make Mobile Multimedia Services Attractive and Profitable
4.5.4 Which are the most profitable markets for launching multimedia services?
4.5.5 Revenue Opportunities for Vendors
Chapter 5: Ideal Initiatives towards Network Modernisation, Management, and Road Mapping for 2014-2018
5.1 Have you reaped your 2G/ 3G investment? Decide Yourself!
5.1.1 Decide timing of Network Upgradation
5.1.2 Worldwide Network Upgradation and Shifting Customers to More Advanced Networks
5.1.3 Case Study: Analysing the Network Upgradation and Modernisation Strategy of
Maxis Malaysia (2G, 3G and 4G/ LTE)
188.8.131.52 Country Profile – Malaysia
184.108.40.206 What made Maxis to plan network upgradation and modernisation?
220.127.116.11 Evaluating Maxis’ Network Modernisation Investments and its Impact on the
Maxis’ Top and Bottom Line
18.104.22.168 Benchmarking Maxis’ EV/EBITDA with its Peers and Others
5.2 Evolved Packet Core (EPC) Model: Key to Excellent Traffic Management and a Great QoS
5.2.1 Which is the best model? What should be your approach to EPC deployment?
5.3 Policy Management Strategies for Encashing QoE
5.3.1 Role of Policy Management
22.214.171.124 Minimising Network Congestion
126.96.36.199 Enhancing QoS (Quality of Service)
188.8.131.52 Service Monetisation
5.3.2 Challenges in Policy Management Implementation
5.3.3 How PCRF can be implemented to take maximum benefit from 3G and 4G/ LTE investments?
5.3.4 Selecting the right vendor
5.3.5 How MNOs can minimise their PCRF/ Policy Server deployment costs?
5.3.6 Case Study: Analysis of Verizon Wireless’ approach to PCRF
5.4 How to tame the Capex and Opex?
5.4.1 Case Study: Bharti Airtel – Pioneered the Innovative Business Model of Outsourcing and Sharing
5.5 Fixed Mobile Convergence (FMC): Fixed Line has its Role to Play
5.5.1 Verizon’s Global Fixed Mobile Convergence
5.5.2 Com Hem’s Fixed Mobile Convergence (FMC) Application
5.5.3 Traffic Offload from Mobile Networks to Fixed Networks
5.6 Strategic Importance of Wi-Fi beyond Traffic Offloading
Chapter 6: A complimentary section on LTE
6.1 Global LTE Deployment Trend
6.2 LTE Growing Faster than HSPA
6.3 LTE CAPEX at an all time high
6.4 LTE Uptake of Major Operators
6.5 Why is LTE Ecosystem rising so quickly?
6.5.1 Spectral Efficiency and CAPEX/ OPEX Reduction
6.5.2 LTE is a must to meet the demand of Exponentially Growing Data Consumption
6.5.3 4G/ LTE offers better Marketing Proposition than 3G/ HSPA
6.6 Will LTE & WiMAX Coexist?
6.7 Global LTE Subscribers 2013-2018
6.8 Regional LTE Subscribers 2013-2018
6.9 Global LTE Subscribers by Type (LTE TDD & LTE FDD) 2013-2018
6.10 LTE Market Revenue Potential 2013-2018
6.10.1 Global LTE Service Revenue 2013-2018
6.10.2 Regional LTE Service Revenue 2013-2018
6.10.3 LTE Devices Market 2013-2018
6.10.4 LTE Infrastructure Market 2013-2018
Chapter 7: Findings and Conclusions
List of Figures:
Figure 2-1 Worldwide connections by technology 2G vs. 3G vs. 4G (In %), 2012-2018
Figure 2-2 Worldwide Revenue Share of Voice, SMS/ MMS and Broadband (In %), 2013,
2016, and 2018
Figure 2-3 Types of Data Plans among Smartphone Users in Key Markets (In %), 2013
Figure 2-4 The Evolution of Data Pricing and ARPU Trend
Figure 2-5 Verizon Wireless’ EBITDA Service Margin (In %), Q3 2011, Q2 2012, Q3 2012 and Q1 2013
Figure 2-6 Verizon Wireless’ Uptake of Shared Data Plan (in %), October 2012 and April 2013
Figure 2-7 Blended ARPU, MBB Operators and Non-MBB Operators, 2005 – 2013
Figure 2-8 Share of Mobile Operator’s Revenue from Non-Voice Services (In %), 2005, 2011, 2012,
2016 & 2018
Figure 2-9 Prepaid Mobile Users: Smartphone vs. Feature Phone in key Markets (In %), 2013
Figure 2-10 The MVNO Business Model
Figure 2-11 MVNOs’ Activities along the Value Chain
Figure 2-12 Typical cost structures for MNOs and MVNOs
Figure 2-13 Worldwide MVNO launches by region, 1991-2010
Figure 2-14 Worldwide MVNO Subscriptions (In Million), 2012 – 2018
Figure 2-15 Virgin Mobile, UK Subscriber Growth 2000 – 2007
Figure 2-16 Tango Subscribers (In Million), October 2010, June 2011, September 2012 and November 2012
Figure 2-17 KDDI ARPU Growth (In JPY), Q3 2009 – Q2 2011
Figure 2-18 Hike App Downloads (In Million), February 2013 and April 2013
Figure 3-1 Global Mobile Broadband Subscriptions Forecast (In Million), 2013 – 2018
Figure 3-2 Global Mobile Broadband Revenue Forecast (In US$ Billion), 2013 – 2018
Figure 3-3 Asia Pacific Mobile Broadband Subscriptions Forecast (In Million), 2013 – 2018
Figure 3-4 Asia Pacific Mobile Broadband Revenue Forecast (In US$ Billion), 2013 – 2018
Figure 3-5 North America Mobile Broadband Subscriptions Forecast (In Million), 2013 – 2018
Figure 3-6 North America Mobile Broadband Revenue Forecast (In US$ Billion), 2013 – 2018
Figure 3-7 Latin America Mobile Broadband Subscriptions Forecast (In Million), 2013 – 2018
Figure 3-8 Latin America Mobile Broadband Revenue Forecast (In US$ Billion), 2013 – 2018
Figure 3-9 Africa Mobile Broadband Subscriptions Forecast (In Million), 2013 – 2018
Figure 3-10 Africa Mobile Broadband Revenue Forecast (In US$ Billion), 2013 – 2018
Figure 3-11 Middle East Mobile Broadband Subscriptions Forecast (In Million), 2013 – 2018
Figure 3-12 Middle East Mobile Broadband Revenue Forecast (In US$ Billion), 2013 – 2018
Figure 3-13 Europe Mobile Broadband Subscriptions Forecast (In Million), 2013 – 2018
Figure 3-14 Europe Mobile Broadband Revenue Forecast (In US$ Billion), 2013 – 2018
Figure 3-15 Churn Behavior in Key Markets, 2012
Figure 3-16 How to Drive Customer Retention and Loyalty?
Figure 3-17 Important Factors behind a Successful Pricing Strategy
Figure 3-18 Vodafone Ireland's Business Share Plan, November 2012
Figure 3-19 Levels of Brand Social Engagement
Figure 4-1 WEVE Value Chain
Figure 4-2 Worldwide Smartphone App Consumption per day by Category (In Minutes), Q1
2011 and Q1 2012
Figure 4-3 Fastest Growing App Categories, October 2011 - March 2012
Figure 4-4 Evernote's Average Revenue per User per App by Operating System (In US$), 2012
Figure 4-5 Worldwide Mobile App Revenue Forecast (In US$ Billion), 2011 – 2018
Figure 4-6 Revenue Share of M-Commerce as a percentage of E-Commerce, 2012-2018
Figure 4-7 Worldwide M-Payment Users (In Million), 2011 – 2018
Figure 4-8 Worldwide M-Payment Revenue (In US$ Billion), 2011 – 2018
Figure 4-9 Safaricom’s Revenue (In Sh Billion), H1 2012
Figure 4-10 Safaricom’s Revenue Break up (In %), H1 2012
Figure 4-11 Financial Services Outlets in Kenya, 2009
Figure 4-12 Customer Life Cycle
Figure 4-13 Worldwide NFC M-Payment Forecast (In US$ Billion), 2013 – 2018
Figure 4-14 Worldwide M-Health Revenue (In US$ Billion), 2013 – 2018
Figure 4-15 M-Health Revenue by Region (In %), 2018
Figure 4-16 M-Health Revenue by Stakeholders (MNOs, Device Vendors, Healthcare Providers,
Content Providers/ Application Developers) (In %), 2018
Figure 4-17 M-Health Revenue by Various Categories (In US$ Billion), 2018
Figure 4-18 M-Health Revenue by Various Categories (In %), 2018
Figure 4-19 Worldwide Mobile Multimedia Revenue (In US$ Million), 2012
Figure 4-20 Worldwide Mobile Multimedia Market Y-o-Y Growth (In %), 2011 and 2012
Figure 5-1 Maxis Non-Voice Revenue (In RM Million), FY 2011 - FY 2012
Figure 5-2 Maxis Network Modernisation Expenditure (In RM Billion), FY 2009 – FY 2012
Figure 5-3 Maxis Mobile Subscriptions (In Million), 2009 - 2012
Figure 5-4 Maxis Revenue (In RM Million), 2009 - 2012
Figure 5-5 Maxis EBITDA (In RM Million), 2009 - 2012
Figure 5-6 Maxis Stock Performance (In MYR), 2011 - April 2013
Figure 5-7 The Open Evolved Packet Core
Figure 5-8 LTE Network Capacity
Figure 5-9 Smartphones and Applications getting Customer’s Mindshare
Figure 5-10 Policy and Charging Control Architecture
Figure 5-11 Key PCRF Interfaces
Figure 5-12 The Rise of Bharti Airtel’s Empire
Figure 5-13 Worldwide Mobile Devices (Offloaded) Traffic on Fixed Line (In Exabytes per Month), 2012 – 2018
Figure 5-14 Worldwide Cellular Traffic vs. Mobile Devices (Offloaded) Traffic on Fixed Line (In %), 2012 – 2018
Figure 6-1 Global LTE Deployments and Commitments, 2013
Figure 6-2 Commercial LTE Network Launches (In Numbers), 2009-2013
Figure 6-3 Number of Network Commitments after 6 months and 12 Months of 1st Commercial Launch
Figure 6-4 Global LTE CAPEX (In US$ Billion), 2013-2018
Figure 6-5 LTE Subscribers of Selected Operators (In Million), June 2012 and June 2013
Figure 6-6 Global LTE Subscribers Forecast (In Million), 2011-2018
Figure 6-7 Regional LTE Subscribers Forecast (In Million), 2013-2018
Figure 6-8 Regional LTE Subscribers Market Share (In %), 2013-2018
Figure 6-9 Global LTE Subscribers Forecast by Type (LTE TDD & LTE FDD) (In Million), 2013-2018
Figure 6-10 Global LTE Market Forecast (In US$ Billion), 2013-2018
Figure 6-11 Global LTE Market Forecast by Type (In US$ Billion), 2013-2018
Figure 6-12 Global LTE Service Revenue (In US$ Billion), 2013-2018
Figure 6-13 Regional LTE Service Revenue Forecast (In %), 2018
Figure 6-14 LTE Devices Market Forecast (In US$ Billion), 2013-2018
Figure 6-15 LTE Infrastructure Market Forecast (In US$ Billion), 2013-2018
List of Tables:
Table 2-1 Verizon's Share Everything Plan for Phones and Internet Devices, October 2013
Table 2-2 Virgin Media Value Proposition
Table 2-3 Ortel Mobile Value Proposition
Table 2-4 Free calls from Ortel Mobile to Ortel Mobile
Table 3-1 Effective Techniques to Cut Churn
Table 3-2 Management of Post-paid and Pre-paid User Class
Table 3-3 Vodafone Ireland's Business Share Plan, November 2012 – Key Features
Table 3-4 MBB (Tablet) Corporate Pricing Models by Vodafone UK, November 2012
Table 3-5 Individual/ Personal MBB Plans by Vodafone New Zealand, November 2012
Table 4-1 Fast Forward - Mobile Marketing and Wallet Platform WEVE
Table 4-2 List of Available NFC Devices, April 2013
Table 4-3 M-Health Applications
Table 4-4 Vodafone mHealth Solutions
Table 4-5 M-Health Revenue by Region (In US$ Billion), 2018
Table 4-6 M-Health Revenue by Stakeholders (MNOs, Device Vendors, Healthcare Providers,
Content Providers/ Application Developers) (In US$ Billion), 2018
Table 5-1 Country Profile – Malaysia
Table 5-2 Maxis Non-Voice Revenue Break-up, Q4 2012
Table 5-3 Maxis Performance (Growth in Subscriptions, Revenue and EBITDA), 2009 - 2012
Table 5-4 EV/ EBITDA of Maxis and its Peers, 30th April 2013
Table 5-5 Maxis’ Valuation based on EV/ EBITDA, 30th April 2013
Table 5-6 QoE Expectations and Performance Requirements by Service Type
Table 5-7 Major PCRF Vendors, Solutions and their Clients
Table 6-1 LTE Subscriber Growth of Selected Operators (In %), June 2012-June 2013
Table 6-2 Regional LTE Subscribers Forecast (In Million), 2013-2018