|By PR Newswire||
|January 20, 2014 11:25 AM EST||
LONDON, Jan. 20, 2014 /PRNewswire/ -- Reportbuyer.com just published a new market research report:
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 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. 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!
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) 126.96.36.199 LTE, a Road to LTE Advanced Table 4-2 LTE Vs. LTE-Advanced: Key Performance Indicators 4.2.5 CDMA/ 3GPP2 Family 188.8.131.52 CDMA2000 1XEV-DO (Evolution Data Only) Revision 0 184.108.40.206.1 Standard Revision and path towards CDMA EV-DO Revision A and Revision B 220.127.116.11.2 TIA-856 Revision 0 4.2.6 WiMAX (Worldwide Interoperability for Microwave Access) 18.104.22.168 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 22.214.171.124 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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Mobile Broadband Grand Prix 2013-2016
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SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
Oct. 7, 2015 12:00 PM EDT Reads: 671
Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Bradley Holt, Developer Advocate at IBM Cloud Data Services, will demonstrate techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user experience, both offline and online. The focus of this talk will be on IBM Cloudant, Apa...
Oct. 7, 2015 11:45 AM EDT Reads: 482
The enterprise is being consumerized, and the consumer is being enterprised. Moore's Law does not matter anymore, the future belongs to business virtualization powered by invisible service architecture, powered by hyperscale and hyperconvergence, and facilitated by vertical streaming and horizontal scaling and consolidation. Both buyers and sellers want instant results, and from paperwork to paperless to mindless is the ultimate goal for any seamless transaction. The sweetest sweet spot in innovation is automation. The most painful pain point for any business is the mismatch between supplies a...
Oct. 7, 2015 11:00 AM EDT Reads: 147
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
Oct. 7, 2015 11:00 AM EDT Reads: 557
There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, will show how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants will get the download information, scripts, and complete end-to-end walkthrough of the analysis from start to finish. Participants will also be given the pract...
Oct. 7, 2015 10:21 AM EDT
As more and more data is generated from a variety of connected devices, the need to get insights from this data and predict future behavior and trends is increasingly essential for businesses. Real-time stream processing is needed in a variety of different industries such as Manufacturing, Oil and Gas, Automobile, Finance, Online Retail, Smart Grids, and Healthcare. Azure Stream Analytics is a fully managed distributed stream computation service that provides low latency, scalable processing of streaming data in the cloud with an enterprise grade SLA. It features built-in integration with Azur...
Oct. 7, 2015 10:00 AM EDT Reads: 736
WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems. In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, will provide an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.
Oct. 7, 2015 09:30 AM EDT Reads: 674
WebRTC services have already permeated corporate communications in the form of videoconferencing solutions. However, WebRTC has the potential of going beyond and catalyzing a new class of services providing more than calls with capabilities such as mass-scale real-time media broadcasting, enriched and augmented video, person-to-machine and machine-to-machine communications. In his session at @ThingsExpo, Luis Lopez, CEO of Kurento, will introduce the technologies required for implementing these ideas and some early experiments performed in the Kurento open source software community in areas ...
Oct. 7, 2015 09:30 AM EDT Reads: 636
Who are you? How do you introduce yourself? Do you use a name, or do you greet a friend by the last four digits of his social security number? Assuming you don’t, why are we content to associate our identity with 10 random digits assigned by our phone company? Identity is an issue that affects everyone, but as individuals we don’t spend a lot of time thinking about it. In his session at @ThingsExpo, Ben Klang, Founder & President of Mojo Lingo, will discuss the impact of technology on identity. Should we federate, or not? How should identity be secured? Who owns the identity? How is identity ...
Oct. 7, 2015 08:30 AM EDT Reads: 421
WebRTC has had a real tough three or four years, and so have those working with it. Only a few short years ago, the development world were excited about WebRTC and proclaiming how awesome it was. You might have played with the technology a couple of years ago, only to find the extra infrastructure requirements were painful to implement and poorly documented. This probably left a bitter taste in your mouth, especially when things went wrong.
Oct. 7, 2015 06:45 AM EDT Reads: 741
WebRTC converts the entire network into a ubiquitous communications cloud thereby connecting anytime, anywhere through any point. In his session at WebRTC Summit,, Mark Castleman, EIR at Bell Labs and Head of Future X Labs, will discuss how the transformational nature of communications is achieved through the democratizing force of WebRTC. WebRTC is doing for voice what HTML did for web content.
Oct. 7, 2015 06:15 AM EDT Reads: 1,342