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市場調查報告書

行動資料的收益化:新的服務&收益模式

Monetising Mobile Data: New Service & Revenue Models

出版商 Mobile Market Development Ltd 商品編碼 321194
出版日期 內容資訊 英文 36 pages
商品交期: 最快1-2個工作天內
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行動資料的收益化:新的服務&收益模式 Monetising Mobile Data: New Service & Revenue Models
出版日期: 2014年12月17日 內容資訊: 英文 36 pages
簡介

資料利用量急速繼續增加中,行動資料成為對全世界的全部MNO來說的焦點。通訊業者,得一邊最佳化新資訊服務導入率,一邊面臨引進有效的價格策略這樣的困難課題。還有各種終端用途市場的應對和法律規章的遵守等,也使這個課題更為複雜。

本報告提供行動資料的收益化相關調查、為了實現行動資料收益化的創新資訊服務模式、經營模式範例、業者的建議等彙整資料。

第1章 概要

第2章 簡介

第3章 行動網絡數據分析

  • 簡介
  • 客戶資料和隱私上的問題
  • Telefonica
  • Verizon

第4章 無償資料

  • 在數據流的上游的資金籌措
  • 社群網路
  • Tesla
  • Amazon
  • 音樂服務
  • AT&T贊助商資料
  • 網絡的中立性

第5章 M2M服務

  • 簡介
  • 連網家庭
  • 聯網汽車
  • 共享數據方案

第6章 業者的聯盟

  • 簡介
  • BlueVia
  • Tapit
  • M2M World Alliance

第7章 主要調查結果

第8章 建議

附錄

目錄

Mobile data is a key focus for all MNOs in markets around the world as data usage continues its inexorable rise. The days of unlimited data are now in the past as operators seek to persuade their customers to pay a realistic price for the data they use. Although data revenues are increasing and represent an ever higher proportion of ARPU, blended ARPU is still falling as the prices for voice services are decreasing and regulatory impacts such as cuts in roaming and MTRs take their toll.

Operators now face a major challenge in deploying successful pricing strategies for new data services, whilst also optimising service uptake. They need to develop strategies to optimise tariffs and monetise data services as consumer use of mobile data grows. The drive to mass adoption of data services could also lead to price erosion if the introduction of new tariffs and services is not carefully handled.

The challenge is further complicated by the need to address vertical markets and regulatory issues including net neutrality and data privacy.

Operators must traverse these minefields at the same time as introducing new business models that focus in partnerships and upstream as well as downstream revenue sources.

This report looks at examples of innovative mobile data services and business models that are being developed by MNOs and their partners. It concludes with a set of recommendations that should be given consideration by any operator wishing to deliver revenue generative mobile data services in the future.

Table of Contents

1 Overview

2 Introduction

  • 2.1 Background to the Report
  • 2.2 Report Content
  • 2.3 Currency and Conversions
  • 2.4 Further Questions and Feedback

3 Mobile Network Data Analytics

  • 3.1 Introduction
  • 3.2 Customer Data & Privacy Issues
  • 3.3 Telefonica Dynamic Insights
    • 3.3.1 Smart Steps Global Platform
    • 3.3.2 Telefonica's Approach to Consumer Privacy
  • 3.4 Precision Market Insights from Verizon

4 Zero-rated Data

  • 4.1 Upstream Funding for Data Traffic
  • 4.2 Social Networking
  • 4.3 Tesla
  • 4.4 Amazon
  • 4.5 Music Services
  • 4.6 AT&T Sponsored Data
  • 4.7 Net Neutrality

5 M2M Services

  • 5.1 Introduction
  • 5.2 The Connected Home
  • 5.3 The Connected Car
  • 5.4 Shared Data Plans

6 Operator Collaborations

  • 6.1 Introduction
  • 6.2 BlueVia
  • 6.3 Tapit
  • 6.4 The M2M World Alliance

7 Key Findings

8 Recommendations

Appendix - Feedback Questions

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