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Mobile Search & Discovery.

Mobile Search & Discovery.

Web, Local, AR & Discovery Markets 2012-2017

Publisher: Juniper Research
Date Published: 18/07/2012
Category: Mobile Content & Applications
No of Pages: 130
Coverage: Global ~ 8 Key Regions ◊
 

Overview

• All-in-One Analysis: Web, Local, AR, Discovery
• In-Depth Forecasts by Device, Business Model, Region
• Web versus App Strategies Assessed

The extensive and detailed forecast suite covers four markets segmented in a number of ways:

• Web Search: by device type (mass market handset, smartphone and tablet) and by eight key regions.
• Local Search App: by device type (smartphone and tablet), by business model (ad-funded, pay-per-download) and by eight key regions.
• Augmented Reality Search App: smartphone forecasts by business model (ad-funded and pay-per-download) and by eight key regions.
• Discovery App: by device type (smartphone, tablet), by business model, and by region.

Five-year forecasts, comprising 53 tables and 2,862 unique data points, include adoption and usage of each of these services, as well as key metrics for each business model – ad-funded (clickthrough rates, cost-per-click, ad spend) and pay-per-download (average price, download revenues).

Expert analysis complimented by exclusive interviews with senior executives from leading players, including Appsfire, DuckDuckGo, Mobile Commerce, mxData, Poynt, Qype, Yelp, Wikitude will greatly enhance your understanding of the industry. Analyst commentary on strategic case studies illustrates a range of successful strategies within these challenging markets.

Examination of mobile ecosystem & market-specific drivers and constraints identifies the factors which are influencing how these markets are developing, providing insights for a range of players – including app/web developers, storefront providers, advertising agencies, brands and investors.

Readers will also benefit from the companion Mobile Search & Discovery Excel: Web, Local, AR & Discovery Markets 2012-2017, which includes a further 59 tables and 6,366 data points. This holistic view of the market includes the full forecast methodology data as well as splitting out the North American (Canada, the US) and Western European (the UK, Rest of WE) regions.

Table of Contents

Executive Summary
1. Mobile Search & Discovery Opportunities

1.1 Introduction 23
1.2 Mobile Search and Discovery 23
1.2.1 Mobile Search 24
Figure 1.1: Mobile Search Definitions & Competition 25
i. Mobile Web Search 25
a. Search Engines: The Vehicle for Web Search 25
b. Expanding the Search: Content Types, Local & Verticals 26
Figure 1.2: Expanding Search Options on Mobile Devices 26
c. Widget, App or Browser: It’s Still a Web Search 26
Figure 1.3: Web Search Routes 27
ii. Mobile Local Search Apps 27
a. ‘Local Web Search’ & ‘Local Search Apps’ 27
b. ‘Local’ and ‘Search’ 28
c. ‘Local’ & ‘Location-Based’ 28
Figure 1.4: Local Search & Location-Based Search on TripAdvisor 29
iii. Mobile Augmented Reality Search Apps 29
Figure 1.5: Wikitude 3D 30
1.2.2 Mobile Discovery Apps 30

2. Future of Mobile Search & Discovery

2.1 Introduction 33
2.2 Mobile Ecosystem Trends 33
2.2.1 Device Trends 33
i. Mobile Handset Adoption 33
a. Mass Market Handset Adoption 34
Figure 2.1: Mass Market Handset Installed Base (m) Split by 8 Key Regions 2012-2017 34
Table 2.1: Mass Market Handset Installed Base (m) Split by 8 Key Regions 2012-2017 35
b. Smartphone Adoption 35
Table 2.2: Smartphone Installed Base (%) as a Proportion of Total Handsets Split by 8 Key Regions 2012-2017 35
Figure 2.2: Smartphone Installed Base (m) Split by 8 Key Regions 2012-2017 36
Table 2.3: Smartphone Installed Base (m) Split by 8 Key Regions 2012-2017 36
ii. Tablet Adoption 36
Figure 2.3: Tablet PC Installed Base (m) Split by 8 Key Regions 2012-2017 37
Table 2.4: Tablet PC Installed Base (m) Split by 8 Key Regions 2012-2017 37
2.2.2 Mobile Network Trends 38
i. 3G/4G Adoption 38
Figure 2.4: 3G/4G Mobile Subscribers (m) Split by 8 Key Regions 2012-2017 38
Table 2.5: 3G/4G Mobile Subscribers (m) Split by 8 Key Regions 2012-2017 39
2.2.3 App Development 39
i. OS Fragmentation 39
Figure 2.5: Android Fragmentation – Accesses by Platform, June 2012 40
ii. HTML5 40
Figure 2.6: Mobile Devices (m) which browse the Web Split by 8 Key Regions 2012-2017 40
iii. Constraints of the Browser-based Approach 41
a. Discoverability 41
b. Browser-Based Services Require Connectivity 42
c. Browser-Based Applications Can Be Slow 42
d. Web-Based Apps Can Be Expensive For End-Users 42
iv. The Rise of the Hybrid – Opportunities for Thin Clients 42
2.3 Search & Discovery Dynamics 43
2.3.1 Web Search Trends 43
i. Google - Searching for the Competition 43
a. PC to Mobile 43
Figure 2.7: Google’s PageRank 43
Table 2.6: Mobile Search Engine Worldwide Market Share (%) Split by Provider (Ask, Baidu, Bing, Google, Yahoo & Other) 2007-2011 44
b. Operating Systems 44
Table 2.7: Mobile Search Engine Worldwide Market Share (%) Split by Service Provider (Ask, Baidu, Bing, Google, Yahoo & Other) & by Platform (Android, Bada, Blackberry, iOS, Symbian & Windows Phone) April 2012 45
c. Geographies 45
Table 2.8: Mobile Search Engine Worldwide Market Share (%) Split by Provider (Ask, Baidu, Bing, Google, Yahoo & Other) & by Continent (Africa, Australia, Asia (exc. China & Japan), China, Japan, Europe, North America, South America) April 2012 46
ii. Differentiation in the Web Search Space 46
a. Privacy Policies 46
Figure 2.8: Pew Internet, Search Engine Use 2012 – Search Results & Privacy 47
b. Challenging Linguistics 48
c. User Interface 48
d. ‘Instant Answers’ 48
iii. Case Study: DuckDuckGo 48
a. Corporate Profile 48
b. Strategy 48
c. Business Model 49
d. Products 49
Figure 2.9: DuckDuckGo’s Homepage & Search Results 49
2.3.2 Local Search Trends 50
i. Local Search: Web or App? 50
a. “Web Search isn’t as Local as You Think” 50
Table 2.9: Top 20 Mobile Search Terms of 2011 50
b. “Local Search App Result are more Targetted” 50
c. “App UIs are Better Optimised for Mobile” 51
ii. Local Search Leads to Action 51
Figure 2.10: Smartphone Owners – Action Taken After Looking for Local information on Smartphone Split by Selected Countries & by Action 52
2.3.3 AR Search Trends 52
a. Added Benefits 52
b. Raising Awareness 53
c. Managing Expectations 53
d. Handset Capability 53
2.3.4 Discovery Trends 54
i. Active Application Numbers Drive Mobile Discovery Adoption 54
Figure 2.11: Number of Active Applications on Apple’s App Store and on Google Play  2008-2112 54
ii. Apple Rejects Pay-per-Install Discovery Apps 55
iii. Big Brands Enter Discovery Market 55
Figure 2.12: Facebook App Centre 56
2.4 Market for Search & Discovery 56
Figure 2.13: Total Revenue ($m) from Mobile Search & Discovery Split by Eight Key Regions 2012-2017 57
Table 2.10: Total Revenue ($m) from Mobile Search & Discovery Split by Eight Key Regions 2012-2017 57
Figure 2.14: Total Revenue ($m) from Mobile Search & Discovery Split by Market (Web Search, Local Search (non-AR) Apps, AR Search Apps & Discovery Apps) 2012-2017 58
Table 2.11: Total Revenue ($m) from Mobile Search & Discovery Split by Market (Web Search, Local Search (with AR), Local Search (non-AR) Apps, AR Search Apps & Discovery Apps) 2012-2017 58

3. Monetising Mobile Search & Discovery

3.1 Introduction 59
3.2 Monetising Search 59
3.2.1 Monetising Search: Expansion Strategies 59
Figure 3.1: mxData’s Expansion Strategy 60
i. Case Study: mxData 60
a. Corporate Profile 60
b. Business Models 61
c. Products & Services 61
d. Expansion Strategies 61
ii. Case Study: Poynt 62
a. Corporate Profile 62
b. Business Models 62
c. Products & Services 63
d. Expansion Strategies 63
3.2.2 Monetising Search: Advertising Strategies 63
i. Case Study: Qype 64
a. Corporate Profile 64
b. Business Models 64
c. User Base 64
d. User-Generated Content 65
e. Innovation 65
ii. Case Study: Yelp 65
a. Corporate Profile 65
b. Business Models 65
c. User Base 66
d. User-Generated Content 66
3.2.3 Monetising Search: White Label Strategies 66
i. Case Study: Mobile Commerce 67
a. Corporate Profile 67
b. Key Clients & Strategic Partnerships 67
c. Business Models 67
d. Products & Services 67
ii. Case Study: Wikitude 67
a. Corporate Profile 67
b. Key Clients & Strategic Partnerships 68
c. Business Models 68
d. Products & Services 68
3.3 Monetising Discovery 68
3.3.1 Monetising App Discovery 68
i. Case Study: Appsfire 69
a. Corporate Profile 69
b. Business Model 69
c. Market Differentiation & Strategic Positioning 69
d. Products & Services 70

4. Mobile Web Search Forecasts

4.1 Forecast Methodology 73
Figure 4.1: Web Search Forecast Methodology 74
4.2 Mass Market Handsets 74
4.2.1 Mobile Web Adoption 74
Figure 4.2: Mass Market Handsets (m) Browsing the Web Split by 8 Key Regions 2012-2017 75
Table 4.1: Mass Market Handsets (m) Browsing the Web Split by 8 Key Regions 2012-2017 76
4.2.2 Search Usage 76
Table 4.2: Average Number of Web Searches per Mass Market Handset per Annum Split by 8 Key Regions 2012-2017 76
4.2.3 Advertising 77
i. Clickthrough Rates 77
Table 4.3: Proportion of Mobile Web Searches (%) which Result in a Sponsored Clickthrough on Mass Market Handsets Split by 8 Key Regions 2012-2017 77
ii. Cost-per-Click 77
Table 4.4: Average Cost ($) per Clickthrough on Mass Market Handsets Split by 8 Key Regions 2012-2017 78
iii. Total Ad Spend 78
Figure 4.3: Total Ad Spend ($m) on Mobile Web Search via Mass Market Handsets Split by 8 Key Regions 2012-2017 78
Table 4.5: Total Ad Spend ($m) on Mobile Web Search via Mass Market Handsets Split by 8 Key Regions 2012-2017 79
4.3 Smartphones 79
4.3.1 Mobile Web Adoption 79
Figure 4.4: Smartphones (m) Browsing the Web Split by 8 Key Regions 2012-2017 80
Table 4.6: Smartphones (m) Browsing the Web Split by 8 Key Regions 2012-2017 80
4.3.2 Search Usage 80
Table 4.7: Average Number of Web Searches per Smartphone per Annum Split by 8 Key Regions 2012-2017 81
4.3.3 Advertising 81
i. Clickthrough Rates 81
Table 4.8: Proportion of Mobile Web Searches (%) which Result in a Sponsored Clickthrough on Smartphones Split by 8 Key Regions 2012-2017 82
ii. Cost-per-Click 82
Table 4.9: Average Cost ($) per Clickthrough on Smartphones Split by 8 Key Regions  2012-2017 82
iii. Total Ad Spend 82
Figure 4.5: Total Ad Spend ($m) on Mobile Web Search via Smartphones Split by 8 Key Regions 2012-2017 83
Table 4.10: Total Ad Spend ($m) on Mobile Web Search via Smartphones Split by 8 Key Regions 2012-2017 83
4.4 Tablets 83
4.4.1 Mobile Web Adoption 83
Figure 4.6: Tablets (m) Browsing the Web Split by 8 Key Regions 2012-2017 84
Table 4.11: Tablets (m) Browsing the Web Split by 8 Key Regions 2012-2017 84
4.4.2 Search Usage 84
Table 4.12: Average Number of Web Searches per Tablet per Annum Split by 8 Key Regions 2012-2017 85
4.4.3 Advertising 85
i. Clickthrough Rates 85
Table 4.13: Proportion of Mobile Web Searches (%) which Result in a Sponsored Clickthrough on Tablets Split by 8 Key Regions 2012-2017 85
ii. Cost-per-Click 85
Table 4.14: Average Cost ($) per Clickthrough on Tablets Split by 8 Key Regions 2012-2017 86
iii. Total Ad Spend 86
Figure 4.7: Total Ad Spend ($m) on Mobile Web Search via Tablets Split by 8 Key Regions 2012-2017 86
Table 4.15: Total Ad Spend ($m) on Mobile Web Search via Tablets Split by 8 Key Regions 2012-2017 87
4.5 Mobile Web Search: Overview 87
Figure 4.8: Total Ad Spend ($m) on Mobile Web Search via Mobile Devices Split by 8 Key Regions 2012-2017 87
Table 4.16: Total Ad Spend ($m) on Mobile Web Search via Mobile Devices Split by 8 Key Regions 2012-2017 88
Figure 4.9: Total Ad Spend ($m) on Mobile Web Search Split by Mobile Device (Mass Market Handset, Smartphone, Tablet) 2012-2017 88
Table 4.17: Total Ad Spend ($m) on Mobile Web Search Split by Mobile Device (Mass Market Handset, Smartphone, Tablet) 2012-2017 89

5. Market for Mobile Local Search Apps

5.1 Forecast Methodology 91
Figure 5.1: Mobile Local Search Apps Forecast Methodology – Ad Spend 92
Figure 5.2: Mobile Local Search Apps Forecast Methodology – Pay-per-Download 93
5.2 Smartphones 93
5.2.1 Local Search App Adoption 93
Figure 5.3: Number of Smartphones (m) Using Downloaded Local Search Apps Split by 8 Key Regions 2012-2017 93
Table 5.1: Number of Smartphones (m) Using Downloaded Local Search Apps Split by 8 Key Regions 2012-2017 94
5.2.2 Advertising 94
i. Clickthrough Rates 94
Table 5.2: Proportion of Sessions (%) which Result in a Sponsored Clickthrough on Smartphone Local Search Apps Split by 8 Key Regions 2012-2017 95
ii. Cost-per-Click 95
Table 5.3: Average Cost ($) per Clickthrough on Smartphone Local Search Apps Split by 8 Key Regions 2012-2017 95
iii. Total Ad Spend 95
Figure 5.4: Total Ad Spend ($m) on Smartphone Local Search Apps Split by 8 Key Regions 2012-2017 96
Table 5.4: Total Ad Spend ($m) on Smartphone Local Search Apps Split by 8 Key Regions 2012-2017 96
5.2.3 Pay-per-Download 96
Figure 5.5: Total Revenue ($m) from Smartphone Pay-per-Download Local Search Apps Split by 8 Key Regions 2012-2017 97
Table 5.5: Total Revenue ($m) from Smartphone Pay-per-Download Local Search Apps Split by 8 Key Regions 2012-2017 97
5.3 Tablets 97
5.3.1 Local Search App Adoption 97
Figure 5.6: Number of Tablets (m) Using Downloaded Local Search Apps Split by 8 Key Regions 2012-2017 98
Table 5.6: Number of Tablets (m) Using Downloaded Local Search Apps Split by 8 Key Regions 2012-2017 98
5.3.2 Advertising 99
i. Clickthrough Rates 99
Table 5.7: Proportion of Sessions (%) which Result in a Sponsored Clickthrough on Tablet Local Search Apps Split by 8 Key Regions 2012-2017 99
ii. Cost-per-Click 99
Table 5.8: Average Cost ($) per Clickthrough on Tablet Local Search Apps Split by 8 Key Regions 2012-2017 100
iii. Total Ad Spend 100
Figure 5.7: Total Ad Spend ($m) on Tablet Local Search Apps Split by 8 Key Regions 2012-2017 100
Table 5.9: Total Ad Spend ($m) on Tablet Local Search Apps Split by 8 Key Regions 2012-2017 101
5.3.3 Pay-per-Download 101
Figure 5.8: Total Revenue ($m) from Tablet Pay-per-Download Local Search Apps Split by 8 Key Regions 2012-2017 101
Table 5.10: Total Revenue ($m) from Tablet Pay-per-Download Local Search Apps Split by 8 Key Regions 2012-2017 102
5.4 Mobile Local Search Apps: Overview 102
Figure 5.9: Total Revenue ($m) from Mobile Local Search Apps via Mobile Devices Split by 8 Key Regions 2012-2017 102
Table 5.11: Total Revenue ($m) from Mobile Local Search Apps via Mobile Devices Split by 8 Key Regions 2012-2017 103
Figure 5.10: Total Revenue ($m) from Mobile Local Search Apps Split by Mobile Device (Smartphone, Tablet) & by Business Model (Ad Spend & PPD) 2012-2017 103
Table 5.12: Total Revenue ($m) from Mobile Local Search Apps Split by Mobile Device (Smartphone, Tablet) & by Business Model (Ad Spend & PPD) 2012-2017 104

6. Market for Mobile Augmented Reality Search Apps

6.1 Forecast Methodology 105
Figure 6.1: Mobile AR Search Apps Forecast Methodology – Ad Spend 106
Figure 6.2: Mobile AR Search Apps Forecast Methodology – Pay-per-Download 107
6.2 Smartphones 107
6.2.1 AR Search App Adoption 107
Figure 6.3: Number of Smartphones (m) Using Downloaded AR Search Apps Split by 8 Key Regions 2012-2017 108
Table 6.1: Number of Smartphones (m) Using Downloaded AR Search Apps Split by 8 Key Regions 2012-2017 108
6.2.2 Advertising 109
i. Clickthrough Rates 109
Table 6.2: Proportion of Sessions (%) which Result in a Sponsored Clickthrough on Smartphone AR Search Apps Split by 8 Key Regions 2012-2017 109
ii. Cost-per-Click 109
Table 6.3: Average Cost ($) per Clickthrough on Smartphone AR Search Apps Split by 8 Key Regions 2012-2017 110
iii. Total Ad Spend 110
Figure 6.4: Total Ad Spend ($m) on Smartphone AR Search Apps Split by 8 Key Regions 2012-2017 110
Table 6.4: Total Ad Spend ($m) on Smartphone AR Search Apps Split by 8 Key Regions 2012-2017 111
6.2.3 Pay-per-Download 111
Figure 6.5: Total Revenue ($m) from Smartphone Pay-per-Download AR Search Apps Split by 8 Key Regions 2012-2017 111
Table 6.5: Total Revenue ($m) from Smartphone Pay-per-Download AR Search Apps Split by 8 Key Regions 2012-2017 112
6.3 Mobile AR Search Apps: Overview 112
Figure 6.6: Total Revenue ($m) from Mobile AR Search Apps via Mobile Devices Split by 8 Key Regions 2012-2017 112
Table 6.6: Total Revenue ($m) from Mobile AR Search Apps via Mobile Devices Split by 8 Key Regions 2012-2017 113
Figure 6.7: Total Revenue ($m) from Mobile AR Search Apps Split by Business Model (Ad Spend & PPD) 2012-2017 113
Table 6.7: Total Revenue ($m) from Mobile AR Search Apps Split by Business Model (Ad Spend & PPD) 2012-2017 114

7. Market for Mobile Discovery Apps

7.1 Forecast Methodology 115
Figure 7.1: Mobile AR Search Apps Forecast Methodology – Ad Spend 116
Figure 7.2: Mobile Discovery Apps Forecast Methodology – Pay-per-Download 117
7.2 Smartphones 117
7.2.1 Discovery App Adoption 117
Figure 7.3: Number of Smartphones (m) Using Downloaded Discovery Apps Split by 8 Key Regions 2012-2017 118
Table 7.1: Number of Smartphones (m) Using Downloaded Discovery Apps Split by 8 Key Regions 2012-2017 118
7.2.2 Advertising 119
i. Clickthrough Rates 119
Table 7.2: Proportion of Sessions (%) which Result in a Sponsored Clickthrough on Smartphone Discovery Apps Split by 8 Key Regions 2012-2017 119
ii. Cost-per-Click 119
Table 7.3: Average Cost ($) per Clickthrough on Smartphone Discovery Apps Split by 8 Key Regions 2012-2017 119
iii. Total Ad Spend 120
Figure 7.4: Total Ad Spend ($m) on Smartphone Discovery Apps Split by 8 Key Regions 2012-2017 120
Table 7.4: Total Ad Spend ($m) on Smartphone Discovery Apps Split by 8 Key Regions 2012-2017 120
7.2.3 Pay-per-Download 120
Figure 7.5: Total Revenue ($m) from Smartphone Pay-per-Download Discovery Apps Split by 8 Key Regions 2012-2017 121
Table 7.5: Total Revenue ($m) from Smartphone Pay-per-Download Discovery Apps Split by 8 Key Regions 2012-2017 121
7.3 Tablets 122
7.3.1 Discovery App Adoption 122
Figure 7.6: Number of Tablets (m) Using Downloaded Discovery Apps Split by 8 Key Regions 2012-2017 122
Table 7.6: Number of Tablets (m) Using Downloaded Discovery Apps Split by 8 Key Regions 2012-2017 123
7.3.2 Advertising 123
i. Clickthrough Rates 123
Table 7.7: Proportion of Sessions (%) which Result in a Sponsored Clickthrough on Tablet Discovery Apps Split by 8 Key Regions 2012-2017 124
ii. Cost-per-Click 124
Table 7.8: Average Cost ($) per Clickthrough on Tablet Discovery Apps Split by 8 Key Regions 2012-2017 124
iii. Total Ad Spend 124
Figure 7.7: Total Ad Spend ($m) on Tablet Discovery Apps Split by 8 Key Regions 2012-2017 125
Table 7.9: Total Ad Spend ($m) on Tablet Discovery Apps Split by 8 Key Regions 2012-2017 125
7.3.3 Pay-per-Download 125
Figure 7.8: Total Revenue ($m) from Tablet Pay-per-Download Discovery Apps Split by 8 Key Regions 2012-2017 126
Table 7.10: Total Revenue ($m) from Tablet Pay-per-Download Discovery Apps Split by 8 Key Regions 2012-2017 126
7.4 Mobile Discovery Apps: Overview 126
Figure 7.9: Total Revenue ($m) from Mobile Discovery Apps via Mobile Devices Split by 8 Key Regions 2012-2017 127
Table 7.11: Total Revenue ($m) from Mobile Discovery Apps via Mobile Devices Split by 8 Key Regions 2012-2017 127
Figure 7.10: Total Revenue ($m) from Mobile Discovery Apps Split by Mobile Device (Smartphone, Tablet) & by Business Model (Ad Spend & PPD) 2012-2017 128
Table 7.12: Total Revenue ($m) from Mobile Discovery Apps Split by Mobile Device (Smartphone, Tablet) & by Business Model (Ad Spend & PPD) 2012-2017 128

Companies Referenced

Interviewed
Appsfire; DuckDuckGo; Mobile Commerce; mxData; Poynt; Qype; Wikitude; Yelp

Mentioned
AppAdvice; Apple; Appolicious;  Appsfire; Baidu; Chomp; Discovr Apps; DuckDuckGo; eBay; Facebook; Google; Marks & Spencer; Microsoft; Mobile Commerce; mxData; Nokia; Poynt; Qype; RIM; Shazam; SoundHound; SoundTracking; TapJoy; Thomson Local; timesCity.com; TripAdvisor; Twitter; Wikipedia; Wikitude; Yahoo!; Yandex; Yelp

Case Studies
Appsfire;  DuckDuckGo; Mobile Commerce; mxData; Poynt; Qype; Wikitude; Yelp

Extra Info

◊ 8 key regions includes:

North America, Latin America, Western Europe, Central & Eastern Europe, Far East & China, Indian Subcontinent, Rest of Asia Pacific and Africa & Middle East.

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Please see: Mobile Search Local, Web and Discovery Markets 2014-2018

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Key Questions

1. To what extent is Google dominating the web/local search space, and to what extent can players in both these space meet this challenge?
2. What strategies can local search app developers expand their businesses in terms of service offerings and geographies?
3. What advertising strategies are providing successful for local search app developers?
4. What are the challenges facing developers incorporating augmented reality, and what are the most successful strategies for deploying it?
5. What will the ad spend on web search, local search, augmented reality search and app discovery be over the next five years?
6. How much revenue will be generated by other business models in these markets over the next five years?
7. Which will be the most lucrative device types and regions for these markets over the next five years?

Any Questions about this report please contact us.

 

Related Reports:

The Mobile Search & Discovery Briefing 2012-2017, Mobile Search & Discovery Excel: Web, Local, AR & Discovery Markets 2012-2017

Related Categories: Mobile Content & Applications, Applications

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