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モバイル検索とコンテンツ発見市場 2014-2018年

Mobile Search & Discovery

Market Prospects 2014-2018

 

出版社 出版年月価格 ページ数
Juniper Research
ジュニパーリサーチ社
2014年4月お問い合わせください 42

サマリー

この調査レポートは、モバイル向け検索エンジン市場を調査し、オンライン&モバイル検索の進化や今後の検索関連の技術革新や収益化についての解説、主要8地域の将来予測などを掲載しています。

Overview

  • Clickthrough Volumes & Adspend Forecast
  • Local Search Opportunity Assessed
  • Business Models Analysed

Juniper’s third edition of its Mobile Search Market Prospects Report, and accompanying Interactive Forecast Excel (IFxl), offers readers a timely insight into the market for mobile search across both the mobile web and mobile apps. It explains how the market for mobile search has been influenced by the evolution of desktop search, and considers likely outcomes from further evolution through the influence of technologies such as AR (Augmented Reality) and voice recognition.

Key Features of the Report

Examination of Market-Specific Drivers, Constraints and Business Models

The Report assesses the factors which are respectively driving and constraining the market for mobile search, such as showrooming and the functionality of mobile cookies. It also provides an appraisal of the key business models underpinning mobile search, accompanied by a series of player case studies.

Extensive Market Forecasts

Juniper delivers the benchmark forecasts on mobile search. The report includes 8 tables and 11 charts across 12 pages of forecasts and forecast analysis. The data is split by 8 key regions including North America, Latin America, Western Europe, Central & Eastern Europe, Far East & China, Indian Subcontinent, Rest of Asia Pacific, and Africa & Middle East.

Interactive Forecast Excel

Juniper Research’s highly granular IFxls (Interactive Forecast Excels) enable clients to manipulate Juniper’s forecast data and charts to test their own assumptions, perform what-if analysis; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients’ ability both to understand a particular market and to integrate their own views into the model.

The Mobile Search Market Prospects 2014-2018 IFxl, contains additional forecast granularity, including forecast splits by device type (smartphone, and where applicable, tablet and featurephone) and country-level forecasts for the US, Canada and UK. Overall, it contains 162 tables featuring more than 12,500 unique data points.

Companies Referenced

Adobe, Amazon, AppGratis, Apple, Ask.com, Baidu, Best Buy, BlackBerry, Blogger, China Mobile, CrunchBase, DeepMind, Distimo, DuckDuckGo, eBay, Excite, GetJar, Google, Groupon, Infoseek, Inktomi, Interactive Advertising Bureau, Jessops, Kayak, LateRooms, Layar, Lycos, McKinley Group, Microsoft, Mobile Commerce, Motorola, Mozilla, mxData, National Federation of the Blind, Netscape, Nokia, Pfeiffer Consulting, Picasa, Pinterest, Poynt, Quixey, Qunar, Samsung, Shazam, Skyfire, Skype, Skyscanner, Sprint, timesCity.com, TripAdvisor, US Geological Survey, Viber, WeChat, Wikitude, Wolfram Research, World Wide Web Consortium, Yahoo, Yandex, Yelp, YouTube, Zoopla.

Extra Info

◊8 Key Regions include: North America; Latin America; Western Europe; Central & Eastern Europe; Far East & China; Indian Subcontinent; Rest of Asia Pacific and Africa & Middle East.

Key Questions

  • How has the market for mobile search evolved, and how has it been influenced by online search?
  • What are the key innovations currently being witnessed in the search market, and which direction will this take the market in?
  • Who are the key players in the search market and how are they positioned?
  • By which business models is search monetised?
  • What is the size of the market for mobile web search, local search, augmented reality search, and mobile discovery?
  • •How will the size/growth of these market segments differ by device type?


目次

Table of Contents

Executive Summary

1. The Evolution of Online & Mobile Search

1.1 Introduction
1.2 Report Scope & Definitions
1.2.1 Mobile & Online
1.3 Online Search
Figure 1.1 & Table 1.1: Search Engine Market Share (%) January 2014
1.3.1 Search & the Semantic Web
Figure 1.2: The Evolution of the Web
1.3.2 Online Search Mechanisms
Figure 1.3: The Mechanics of Online Search
1.4 Mobile Search
1.4.1 Mobile Web Search
i. Mobile Search in the Featurephone Era
ii. Mobile Search in the Smartphone Era
Figure 1.4: Google Search on Mobile
a. Responsive Web Design
b. Widget, App or Browser?
1.4.2 Mobile Local Search
i. Local Web Search & Local Search Apps
ii. ‘Local’ and ‘Search’
iii. Local & Location-Based
Figure 1.5: Local Search & Location-Based Search on LateRooms
1.4.3 Mobile Augmented Reality Search
Figure 1.6: Zoopla’s AR Search
1.5 What’s Next for Search?
1.5.1 AI & Context Awareness: A More Personal Approach to Search
Figure 1.7: An Example of Facebook Graph Search
i. Case Study: Google Now
a. Company Profile
b. Products & Services: Google Now
ii. Driving the Future of Search

2. The Future of Search: Technology, Innovations & Monetisation

2.1 Driving the Market for Search & Discovery
2.1.1 The Shift to Digital
Figure 2.1: Installed Base of Smartphones and Tablets (m), Proportion of Smartphones and Tablets which are Accessing the Internet (%) 2012-2018
i. … And the Associated Rise in Web Inventory
2.1.2 Increasing Data Allowances & Ubiquitous Wi-Fi
2.1.3 App Store Saturation
Figure 2.2: Leading App Store by Downloads and App Catalogue – March 2014
Figure 2.3: The Changes to App Store Search Results with iOS 6 (Before–Left, After–Right)
i. Case Study: Quixey
a. Company
b. Products & Services
2.1.4 Showrooming
Figure 2.3: A Retailer Encourages Reverse Showrooming
2.2 Constraining the Market for Search & Discovery
2.2.1 The Organic Apple
2.2.2 The ‘Cookie’ Issue
2.2.3 Privacy Concerns
2.3 Monetising Search
2.3.1 Advertising
Figure 2.3: Google Search Results on Desktop (left) and Mobile (right)
2.3.2 Referrals
i. Case Study: Skyscanner
a. Company Profile
b. Products & Business Model
2.3.3 Expansion
2.3.4 Open APIs
i. Case Study: Wolfram Alpha
a. Company
b. Products & Business Model

3. The Market for Mobile Search

3.1 Forecast Methodology
3.1.1 Web-Based Search Forecasts
Figure 3.1: Web Search Forecast Methodology
3.1.2 App-Based Search Forecasts
Figure 3.2: App-Based Search Forecast Methodology: Advertising
Figure 3.3: App-Based Search Forecast Methodology: Pay-Per-Download
3.2 Installed Base
3.2.1 Mobile Handset Adoption
Figure 3.4 & Table 3.1: Handset Installed Base (m) Split by 8 Key Regions 2013-2018
3.2.2 Tablet Adoption
Figure 3.5 & Table 3.2: Tablet Installed Base (m) Split by 8 Key Regions 2013-2018
3.3 Mobile Search Forecasts
3.3.1 Search App Downloads
i. Split by Region
Figure 3.6 & Table 3.3: Total Number of Search Apps (Local & Discovery) Downloaded to Mobile Devices (m) Split by 8 Key Regions 2013-2018
ii. Split by Mobile Search App Category
Figure 3.7 & Table 3.4: Total Number of Search Apps Downloaded to Mobile Devices (m) Split by Local Search Apps & Discovery Apps 2013-2018
3.3.2 Sponsored Clickthroughs
i. Split by Region
Figure 3.8 & Table 3.5: Number of Sponsored Clickthroughs from Mobile Web Search, Local Search Apps or Discovery Apps (m) Split by 8 Key Regions 2013-2018
ii. Split by Mobile Search Category
Figure 3.9 & Table 3.6: Number of Sponsored Clickthroughs (m) Split by Mobile Web Search, Local Search and Discovery Apps 2013-2018
3.3.3 Spend on Search Advertising
i. Split by Regions
Figure 3.10 & Table 3.7: Total Spend on Mobile Search Advertising in Web Search, Local Search Apps and Discovery Apps ($m) Split by 8 Key Regions 2013-2018
ii. Split by Mobile Search Category
Figure 3.11 & Table 3.8: Total Spend on Mobile Search Advertising ($m) Split by Web Search, Local Search Apps and Discovery Apps 2013-2018

 

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