Mobile Apps Stores: Future Business Models & Ecosystem Analysis 2012-2016
Juniper Research Limited
February 7, 2012 116 Pages - SKU: JUN6800888
|
|
The Report Covers:
-
Exhaustive Forecasts for the App Market. The findings of this highly anticipated report provide detailed five year forecasts for eight categories of Apps across three device types (smartphone, featurephone & tablet), alongside a comprehensive discussion of regional trends. Readers will gain unrivalled insight into the current and projected market across the full spectrum of app types and related devices.
- Apps Beyond the Handset: the Tablet Opportunity. For the first time, this renewed and revamped edition of Juniper's App report scrutinises and assesses the dramatic entrance of the tablet into the App market; readers will gain unique understanding of the opportunity and implications of this rapidly expanding market sector.
- Challenges to Success in the App World Overcome. From product awareness to product access and on to payment, Juniper delivers key guidelines to creating and promoting a simple and intuitive App which will succeed and sustain a strong user base.
Key Features of the Report Include:
- Strategic Recommendations - This is a must-have report for vendors, network operators, storefront & content providers, offering readers an edge in a highly populated and competitive app-centric world, tackling the ways in which players must strengthen their position from design to delivery.
-
Analysis of Innovative Business Models - MNOs and other key player business models are analysed via case studies and 1 to 1 interviews. These provide readers with cutting edge intelligence on the ways to effectively monetise Apps in both developed and developing regions.
-
Interviews with Top Level Executives - Interviews with key players from across the App value chain are included: the founders and CEOs of GetJar, Appia and Kony give readers first-hand information concerning their strategies and the evolving trends within the industry.
|
- Executive Summary
- ES1 Introduction
- ES2 What This Report Covers
- ES3 The Market for Mobile Applications
- ES4 Strategic Recommendations
- The Rise of the App Store
- 1.1 Introduction
- 1.2 What This Report Covers
- 1.2.1 Categories of Mobile Application
- i. Games
- ii. Multimedia & Entertainment
- iii. Lifestyle
- iv. Healthcare
- v. Finance
- vi. Productivity
- vii. Social Networking
- viii. eReaders
- 1.3 Driving the App Store-centric Model
- 1.3.1 The Confluence of iPhone and App Store
- 1.3.2 Handset UIs Have Improved Dramatically
- 1.3.3 Mobile Internet Adoption is Increasing
- 1.4 App Stores For All
- Table 1.1: Selected Apps Store Launches 2008-2011
- Figure 1.1: Leading App Stores by Downloads & App Catalogues 2011
- Table 1.2: Leading App Stores by Downloads & App Catalogues 2011
- 1.5 The App Store Ecosystem: The OTT Behemoths
- Figure 1.2: Global App Downloads to Handsets & Tablets 2011 (31.0 billion downloads)
- Table 1.3: Leading App Storefronts by Downloads, 2011
- 1.5.1 The Second Walled Garden
- An App Centric World: The Challenge for MNOs
- 2.1 Introduction: The Content Legacy
- Figure 2.1: The Content Legacy
- 2.1.1 Monetising Download Volumes
- 2.1.2 The Portal Revisited?
- 2.2 The Challenge Stated: A Lack of Scale
- 2.2.1 Addressing Fragmentation
- i. Case Study: GSMA OneAPI Initiative
- ii. Case Study: Wholesale Application Community
- iii. The First Fruits: Vodafone 360, K-Apps
- iv. Case Study: The AT&T App Center
- 2.2.2 Will Alliances Bring Sufficient Scale?
- 2.3 The Challenge Stated: App Store Overload
- 2.4 Monetising the Mass Market
- 2.4.1 Deploying Thin Clients
- i. Case Study: Airtel App Central
- 2.5 Future prospects for MNOs
- Figure 2.2: MNO Strategic Options in an App-Centric World
- 2.5.1 The Bitpipe Scenario
- 2.5.2 New Business Models: The Data/Content Bundle
- i. Case Study: Verizon Wireless
- 2.5.3 New Business Models: Leveraging the Billing Relationship
- 2.5.4 New Business Models: The Shelf-in-Store
- i. Case Study: Vodafone AppSelect
- ii. Prospects for the Shelf-in-Store Model
- The Future of Storefronts: Challenges & Opportunities
- 3.1 Challenges For Storefront Vendors
- 3.1.1 Discovery and Differentiation
- Figure 3.1: The Vicious Circle of the Addressable User Base
- i. A Third Party Solution?
- 3.1.2 Repositioning the Storefront from B2C to B2B: Appia
- 3.2 Challenges for Content Providers
- 3.2.1 Discovery and Differentiation
- 3.3 New Opportunities, New Challenges: App Stores in Developing Markets
- 3.3.1 Case Study: Ovi Store
- 3.3.2 The Future of Java?
- Beyond the App Store
- 4.1 Beyond the Mobile Handset: Apps in a Convergent Environment
- 4.1.1 The Rise of the Tablet
- 4.1.2 The Tablet Opportunity
- 4.2 HTML5 & D2C: the Implications of the Browser-based Approach
- Figure 4.1: Global Mobile Internet Users (m) Split by 8 Key Regions 2011-2106
- 4.2.1 Case Study: FT
- 4.2.2 Constraints of the Browser-based Approach
- i. Discoverability
- ii. Browser-Based Services Require Connectivity
- Table 4.1: Selected US/UK Data Outages 2010-2011
- iii. Browser-Based Applications Can Be Slow
- iv. HTML5 is a work in progress
- v. Web-based Apps can be expensive for end users
- 4.2.3 The Rise of the Hybrid - Opportunities for Thin Clients
- 4.3 Conclusion: A Future for Storefronts
- Monetising the Mobile Application
- 5.1 Introduction
- 5.2 Pay Per Download Applications
- 5.2.1 Pricing the App
- 5.3 Free to Download Applications
- 5.3.1 Case Study: GetJar
- Figure 5.2: GetJar Annual App Download Volumes (m) 2008-2011
- i. Business Model
- a. Monetisation of Speculative Investment
- b. GetJar Gold
- 5.4 Upselling Content - The Freemium Approach
- 5.4.1 The Growth of In-App Billing
- Table 5.1: Top Grossing US iPhone Apps, 2010
- i. In-App Billing and Social Gaming
- 5.5 The Mobile Value Add
- 5.6 The Challenges of App Monetisation - Which Business Model?
- 5.7 Billing the App
- 5.7.1 Beyond Billing - Maximising Monetisation Opportunities Through Intelligent Billing
- 5.8 Advertising in Apps
- 5.9 Reimagining the Consumer Application
- 5.9.1 The App as Marketing Tool
- i. Case Study: Waterslide Extreme
- Figure 5.3: Fishlab’s Barclaycard-Branded Waterslide Extreme on the iPhone
- 5.9.2 The App as Retail Mechanism
- Figure 5.4: eBay iPhone App
- Figure 5.5: Ocado on the Go Screenshots
- The Market for Smartphone Apps
- 6.1 Introduction
- 6.2 Methodology
- Figure 6.1: Methodology for Determining App Adoption, Downloads, Usage and Revenues (By Region, Device Type and App Catgeory)
- Table 6.1: Recent Juniper Research Reports on Application Categories
- 6.3 Global Smartphone Market Forecast
- Figure 6.2: Global Smartphone Installed Base Forecast (m) Split by 8 Key Regions 2011-2016
- Table 6.2: Global Mobile Smartphone Installed Base (m) Split by 8 Key Regions 2011-2016
- 6.4 Smartphone Application Users and Usage
- Table 6.3: Percentage of Smartphone Users Who Download Apps Split by 8 Categories 2011-2016
- Figure 6.3: Number of Smartphone Users (m) Who Download Apps Split by 6 Categories 2009-2015
- Table 6.4: Number of Smartphone Users (m) Who Download Apps Split by 8 Categories 2011-2016
- 6.5 Smartphone Application Revenues
- Figure 6.4: Average Number of Smartphone App Downloads per User per Year Split by 8 Categories 2011-2016
- Table 6.5: Average Number of Smartphone App Downloads per User per Year Split by 8 Categories 2011-2016
- Figure 6.5: Total Number of Smartphone App Downloads Per Year (m) Split by 8 Categories 2011-2016
- Table 6.6: Total Number of Smartphone App Downloads Per Year (m) Split by 8 Categories 2011-2016
- 6.5.1 Pay-Per-Download Application Revenues
- Table 6.7: Percentage of Smartphone App Downloads which are Paid For Split by 8 Categories 2011-2016
- Figure 6.6: Number of Smartphone App Downloads (m) which are Paid for Split by 8 Categories 2011-2016
- Table 6.8: Number of Smartphone App Downloads (m) which are Paid For Split by 8 Categories 2011-2016
- Table 6.9: Price Per Smartphone App Download ($) Split by 8 Categories 2011-2016
- Figure 6.7: Smartphone Apps, PPD Value ($m) Split by 6 Categories 2011-2016
- Table 6.10: Smartphone Apps, PPD Value ($m), Split by 8 Categories 2011-2016
- 6.5.2 Post-Download Revenues
- Table 6.11: Proportion of Smartphone App Downloaders Paying for Content Post Download (%) Split by 8 Categories 2011-2016
- Figure 6.8: Number of Smartphone App Downloaders Paying for Content Post Download (m) Split by 8 Categories 2011-2016
- Table 6.12: Number of Smartphone App Downloaders Paying for Content Post Download (m) Split by 8 Categories, 2011-2016
- Table 6.13: Smartphone Apps, Average Annual Spend Per User ($) Split by 8 Categories
- Figure 6.9: Smartphone App Post Download Content Revenues ($m) Split by 8 Categories 2011-2016
- Table 6.14: Smartphone App Post Download Content Revenues ($m) Split by 8 Categories 2011-2016
- 6.5.3 Total Smartphone App Revenues
- Figure 6.10: Total Revenues from Consumer Smartphone Apps ($m) Split by 8 Categories 2011-2016
- Table 6.15: Total Revenues from Consumer Smartphone Apps ($m) Split by 8 Categories 2011-2016
- The Market for Featurephone Apps
- 7.1 Introduction
- 7.2 Global Featurephone Market Forecast
- Figure 7.1: Global Featurephone Installed Base Forecast (m) Split by 8 Key Regions 2011-2016
- Table 7.1: Global Featurephone Installed Base Forecast (m) Split by 8 Key Regions 2011-2016
- 7.3 Featurephone Application Users and Usage
- Table 7.2: % Featurephone Users Who Download Apps Split by 8 Categories 2011-2016
- Figure 7.2: Number of Featurephone Users (m) Who Download Apps Split by 8 Categories 2011-2016
- Table 7.3: Number of Featurephone Users (m) Who Download Apps Split by 8 Categories 2011-2016
- 7.4 Featurephone Application Revenues
- Figure 7.3: Average Number of Featurephone App Downloads per User per Year Split by 8 Categories 2011-2016
- Table 7.4: Average Number of Featurephone App Downloads per User per Year Split by 8 Categories 2011-2016
- Figure 7.4: Total Number of Featurephone App Downloads Per Year (m) Split by 8 Categories 2011-2016
- Table 7.5: Total Number of Smartphone App Downloads Per Year (m) Split by 8 Categories 2011-2016
- 7.4.1 Pay-Per-Download Application Revenues
- Table 7.6: % Featurephone App Downloads which are Paid For Split by 8 Categories 2011-2016
- Figure 7.5: Number of Featurephone App Downloads (m) which are Paid For Split by 8 Categories 2011-2016
- Table 7.7: Number of Featurephone App Downloads (m) which are Paid For Split by 8 Categories 2011-2016
- Table 7.8: Price Per Smartphone App Download ($) Split by 8 Categories 2011-2016
- Figure 7.6: Featurephone Apps, PPD Value ($m) Split by 8 Categories 2011-2016
- Table 7.9: Smartphone Apps, PPD Value ($m), Split by 8 Categories 2011-2016
- 7.4.2 Post-Download Revenues
- Table 7.10: Proportion of Smartphone App Downloaders Paying for Content Post Download (%) Split by 8 Categories, 2011-2016
- Figure 7.7: Number of Featurephone App Downloaders Paying for Content Post Download (m) Split by 8 Categories, 2011-2016
- Table 7.11: Number of Featurephone App Downloaders Paying for Content Post Download (m) Split by 8 Categories 2011-2016
- Table 7.12: Average Annual Spend Per User on Smartphone Apps ($) Split by 8 Categories
- Figure 7.8: Featurephone App Post Download Content Revenues ($m) Split by 8 Categories 2011-2016
- Table 7.13: Featurephone App Post Download Content Revenues ($m) Split by 8 Categories 2011-2016
- 7.4.3 Total Featurephone App Revenues
- Figure 7.9: Total Revenues from Consumer Featurephone Apps ($m) Split by 8 Categories 2011- 2016
- Table 7.14: Total Revenues from Consumer Featurephone Apps ($m) Split by 8 Categories 2011-2016
- The Market for Tablet Apps
- 8.1 Introduction
- 8.2 Global Tablet Market Forecast
- Figure 8.1: Global Tablet Installed Base Forecast (m) Split by 8 Key Regions 2011-2016
- Table 8.1: Global Tablet Installed Base Forecast (m) Split by 8 Key Regions 2011-2016
- 8.3 Tablet Application Users and Usage
- Table 8.2: Percentage of Tablet Users Who Download Apps Split by 8 Categories 2011-2016
- Figure 8.2: Number of Tablet Users (m) Who Download Apps Split by 8 Categories 2011-2016
- Table 8.3: Number of Tablet Users (m) Who Download Apps Split by 8 Categories 2011-2016
- 8.4 Tablet Application Revenues
- Figure 8.3: Average Number of Tablet App Downloads per User per Year Split by 8 Categories 2011-2016
- Table 8.4: Average Number of Tablet App Downloads per User per Year Split by 8 Categories 2011-2016
- Figure 8.4: Total Number of Tablet App Downloads Per Year (m) Split by 8 Categories 2011-2016
- Table 8.5: Total Number of Tablet App Downloads Per Year (m) Split by 8 Categories 2011-2016
- 8.4.1 Pay-Per-Download Application Revenues
- Table 8.6: Percentage of Tablet App Downloads which are Paid For Split by 8 Categories 2011-2016
- Figure 8.5: Number of Tablet App Downloads (m) which are Paid For Split by 8 Categories 2011- 2016
- Table 8.7: Number of Tablet App Downloads (m) which are Paid For Split by 8 Categories 2011- 2016
- Table 8.8: Price Per Tablet App Download ($) Split by 8 Categories 2011-2016
- Figure 8.6: Tablet Apps, PPD Value ($m) Split by 8 Categories 2011-2016
- Table 8.9: Tablet Apps, PPD Value ($m) Split by 8 Categories 2011-2016
- 8.4.2 Post-Download Revenues
- Table 8.10: Proportion of Smartphone App Downloaders Paying for Content Post Download (%) Split by 8 Categories 2011-2016
- Figure 8.7: Number of Tablet App Downloaders Paying for Content Post Download (m) Split by 8 Categories 2011-2016
- Table 8.11: Number of Tablet App Downloaders Paying for Content Post Download (m) Split by 8 Categories 2011-2016
- Table 8.12: Tablet Apps, Average Annual Spend Per User ($), Split by 8 Categories
- Figure 8.8: Featurephone App Post Download Content Revenues ($m) Split by 8 Categories 2011-2016
- Table 8.13: Featurephone App Post Download Content Revenues ($m) Split by 8 Categories 2011-2016
- 8.4.3 Total Tablet App Revenues
- Figure 8.9: Total Revenues from Consumer Tablet Apps ($m) Split by 8 Categories 2011-2016
- Table 8.14: Total Revenues from Consumer Tablet Apps ($m) Split by 8 Categories 2011-2016
- Glossary
Share this report
Other tasks Related Markets Internet Applications Reports Free Alert Me service Receive bi-weekly email alerts on new market research Sign Up Today!
|