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市場調查報告書

4G LTE(前瞻長程演進)策略:經營模式,方案,及收入(2011-2016年)

4G LTE Strategies: Business Models, Scenarios & Revenues 2011-2016

出版商 Juniper Research
出版日期 2011年12月 商品編碼 227298
內容資訊 英文 160 Pages
價格
US $ 2747 Web Download (Single User License)
US $ 3924 Web Download (Multi- User License)
US $ 5886 Web Download (Enterprisewide License)


4G LTE(前瞻長程演進)策略:經營模式,方案,及收入(2011-2016年) 是由出版商Juniper Research在2011年12月所出版的。 這份英文市場調查報告書包含160 Pages 價格從美金2747起跳。

簡介

本報告提供4G的收入所產生的所有預期的經營模式策略性評估,現在進行及預測的LTE(前瞻長程演進)用戶數(消費者及企業)為基礎的市場資料,以及4種的經營模式為基礎的服務費用的計算,3種方案為基礎的服務收入及ARPU方案分析等,為您概述為以下內容。

摘要整理

第1章 LTE(前瞻長程演進)市場的狀況

  • 簡介
  • LTE(前瞻長程演進)及LTE(前瞻長程演進) Advanced的目的
  • LTE(前瞻長程演進)-Advanced市場最新情形
  • LTE(前瞻長程演進)市場生態系統
    • 設備製造商及供應商
    • 最終用戶設備供應商
    • 服務應用供應商
    • 行動網路業者
  • LTE(前瞻長程演進)市場發展推動因素
    • 行動寬頻趨勢
    • 廣泛的產業支援
    • 行動數據流量的增加
    • ARPU的減少
    • 新的服務及收入的機會
    • 新的連結服務
    • 用戶經驗的提高
    • 技術優勢
  • LTE(前瞻長程演進)所面臨的障礙
    • 經營模式與服務的收益化
    • 設備
    • 頻譜:什麼時候,以及規模
    • 回程傳輸容量必要條件

第2章 LTE(前瞻長程演進)業者的情形

  • 北美
    • Verizon Wireless,美國
    • AT&T Mobility
  • 南美
    • America Movil
  • 西歐
    • TeliaSonera,挪威及瑞典
    • Vodafone Germany
    • Telecom Italia
    • France Telecom Orange
    • Everything Everywhere & 02,英國
  • 中歐及東歐
    • Yota,俄羅斯
  • 遠東及中國
    • NTT DoCoMo,日本
    • China Mobile
  • 印度亞大陸
  • 其他的亞太地區
    • Telstra,澳洲
    • SingTel,新加坡
  • 非洲及中東
    • VivaCell-MTS,亞美尼亞
    • Etisalat,UAE
    • Zain,巴林
    • MTS and Ucell,烏茲別克
  • 分析及結論
    • 到現在為止發佈的LTE(前瞻長程演進)網路計劃
    • 未來的LTE(前瞻長程演進)服務發展(各國)
  • LTE(前瞻長程演進)引進用頻譜
    • 頻譜的改革

第3章 LTE(前瞻長程演進)用戶預測

  • 預測手法
    • 地區區分
    • 預測手法及前提條件
    • 技術區分
  • 行動電話市場成長
  • 各地區寬頻及LTE(前瞻長程演進)用戶數預測
    • MNO策略
    • 北美
    • 南美
    • 西歐
    • 中歐及東歐
    • 遠東及中國
    • 印度亞大陸
    • 其他亞太地區
    • 非洲及中東
    • 全球

第4章 LTE(前瞻長程演進)經營模式:服務價格預測

  • 收費系統的發表
    • AT&T
    • TeliaSonera
    • Vodafone Germany
    • NTT DoCoMo
  • LTE(前瞻長程演進)服務價錢方式
    • 收費系統分析
    • 價格設定條件及法規
  • LTE(前瞻長程演進)企業用戶對象服務的價格設定
  • LTE(前瞻長程演進)消費者用戶對象服務的價格設定
  • 利用引進方案

第5章 LTE(前瞻長程演進)經營模式:方案1「標準」

  • 服務收入
    • 企業的收入
    • 消費者的收入
    • 企業及消費者的收入
  • 混合ARPU

第6章 LTE(前瞻長程演進)經營模式:方案2「電力」

  • 利用引進簡介
  • 服務收入
  • ARPU

第7章 LTE(前瞻長程演進)經營模式:方案3「中低頻」

  • 利用引進簡介
  • 服務收入
  • ARPU

第8章 方案比較與結論

  • 全球服務收入
    • 企業
    • 消費者
    • 企業及消費者
  • ARPU
    • 企業
    • 消費者
    • 企業及消費者的混合
  • 結論

第9章 頻譜成本及CAPEX分析

  • 頻譜成本
  • 分析:西歐
    • 頻譜成本分析
    • 基礎設施成本分析
    • 營運成本和LTE(前瞻長程演進)服務收入比較
    • 累計網路現金流量分析

第10章 詞彙

目錄

Abstract

Overview

  • 88 Forecast Tables
  • Scenario-Based Market Projections
  • Expert Analysis of LTE Business Models

The second of two LTE reports, this renewed study provides a strategic evaluation of the full range of prospective business models employed for the 4G revenue generation:

Unrivalled insight into the current and projected LTE market. The report delivers a full suite of market data based on current and forcasted LTE subscriber numbers for both consumers and enterprises. Service pricing is calculated according to four types of business models for maximum coverage of the prospective market:

  • Premium Tier
  • Top Tier
  • Mid Tier
  • Low Tier

Scenario analysis of service revenues and ARPU under three scenarios. Each scenario offers unmitigated analysis of LTE usage and pricing:

  • Average Scenario
  • Power Scenario
  • Mid-Low Scenario

Cutting edge evaluation of spectrum costs and Capex. An in-depth costing model is provided for players (e.g. mobile operators) alongside an exhaustive deliberation of the two core challenges confronting MNOs: rising Opex and Capex.

Market Status & Direction. The key market drivers and constraints are discussed in addition to an assessment of operator deployments i.e. trial, commercial and planned networks.

Additional Key Features

Usage Adoption Scenarios enable readers to identify the essential priorities for service providers, in order to optimise revenues.

A Detailed Breakdown of the LTE Market Ecosystem illustrates the impact of LTE on the telecom industry on the whole and the opportunities found therein.

17 LTE commercially launched networks are profiled and assessed by their various stages of development within the 4G industry, drawn from a variety of world regions.

Key Questions answered:

  • 1. How will premium and tiered data plans affect LTE service revenues?
  • 2. What are the likely ARPU levels achievable for enterprise and consumer LTE users?
  • 3. What are the potential new LTE pricing models that the industry envisages?
  • 4. How are infrastructure and spectrum costs affecting LTE network operators?
  • 5. When will operator's revenue from LTE services exceed the operational costs?
  • 6. What are the strategies of leading mobile network operators for implementing LTE?
  • 7. How many LTE mobile broadband subscribers will there be each year from 2011-2016?
  • 8. What will be the split between enterprise and consumer LTE subscribers?
  • 9. Which will be the prime regions for LTE deployments?
  • 10. What are the trends, drivers and hurdles influencing the development of the LTE market?

Companies included in this report:

ADC, Alcatel-Lucent, Aricent, AT & T Mobility, Bytemobile, Cambridge Broadband Networks, Cambridge Consultants, China Mobile, Cognovo, Comptel, Empirix, Ericsson, Etisalat, France Telecom Orange, Funambol, Huawei, InfiNet Wireless, SingTel, Kineto Wireless, MACH, MetroPCS, Motorola, Nimbuzz, Nokia Siemens Networks, NTT DoCoMo, Picochip, Samsung, Syniverse, Telecom Italia, TeliaSonera, Telstra, TM Forum, Ucell, UMTS Forum, Verizon Wireless, VivaCell-MTS, Vodafone, Volantis, Volubil, Yota, Zain

Author Profile:

Nitin Bhas is a Research Analyst with Juniper Research. His areas of focus include mobile networks, technologies and handsets. Nitin has previously worked as a Technical Officer for a consultancy firm in India and has gained experience in Wireless Communication Systems, RF & Microwave Engineering, IP security, Networking and Mobile OS (Symbian, Java and Android). Nitin has a BTech (Hons) in Electronics and Telecommunication and an MSc in Mobile and Satellite Communication from the University of Surrey, UK.

Report Statistics

  • Publication Date: 14/12/2011
  • Total Number of Pages: 160
  • Coverage: Global - 8 Key Regions

Table of Contents

Executive Summary

  • ES.1. Introduction
  • ES.2. LTE Mobile Subscriber Forecast
  • ES.3. LTE Business Model Pricing Assumption
  • ES.4. LTE Business Model Scenarios
  • ES.5. LTE Revenue Scenarios
  • ES.6. LTE Blended ARPU Forecast
  • ES.7. Business Model Conclusion
  • ES.8. Recommendations

LTE Market Status

  • 1.1. Introduction
  • 1.2. LTE & LTE Advanced Objectives
  • 1.3. LTE-Advanced Market Update
  • 1.4. LTE Market Ecosystem
    • Figure 1.1: LTE Ecosystem
    • 1.4.1.Equipment Manufacturers & Suppliers
      • Table 1.1: Equipment Manufacture & Suppliers Industry Commercial Contracts
    • 1.4.2.End User Device Vendors
      • Figure 1.2: Available LTE User Device Products (July 2011)
        • i.Samsung- Smartphones
          • Figure 1.3: Samsung Droid Charge SCH-i5 10 LTE Device
        • ii.Huawei USB Modems
          • Figure 1.4: Huawei E398 USB Modem
    • 1.4.3.Servicel Application Providers
      • i.ng Connect Program Alcatel Lucent
        • Figure 1.5: ng Connect Program
    • 1.4.4.Mobile Network Operators
  • 1.5. LTE Market Drivers
    • 1.5.1.Mobile Broadband Trends
      • Figure 1.6: Broadband Connectivity Demand Cycle
    • 1.5.2.Widespread Industry Support
      • Figure 1.7: LTE Operator Commitments (As of October 2011)
    • 1.5.3.Mobile Data Traffic Growth
      • Figure 1.8: Verizon Wireless Network Challenges
      • Figure 1.9: Total Data Traffic through the Cellular Network p.a.(PB) Split by Eight Key Regions 2010-2015
      • Table 1.2: Total Data Traffic through the Cellular Network p.a.(PB) Split by Regions 2010-2015
    • l.5.4.Decline of ARPU
      • Figure 1.10: Base Line Analysis of Global Mobile Subscriber Growth, ARPU and Operator-Billed Service Revenues 2010-2016
      • Table 1.3: Base Line Analysis of Global Mobile Subscriber Growth, ARPU and Operator-Billed Service Revenues 2010-2016
      • Figure 1.1.1: The ‘Nightmare’ Scenario: Global MNO Service Revenues vs.CAPEX/OPEX ($bn) 2010-2016
      • Table 1.4: The ‘Nightmare’ Scenario: Global MNO Service Revenues vs.CAPEX/OPEX ($bn) 2010-2016
    • 1.5.5.New Service and Revenue Opportunities
      • Figure 1.12: LTE Enabled Applications
      • Table 1.5: LTE New Services- Juniper Research Interview Responses
    • 1.5.6.New Connected Devices
      • Table 1.6: LTE New Connected Devices- Juniper Research Interview Responses
    • 1.5.7.Improved User Experience
      • 1.5.8.Technical Advantages
  • 1.6. The Hurdles Facing LTE
    • 1.6.1.Business Models and Service Monetisation
    • 1.6.2.Devices
      • i.Device Availability
      • ii.Device Types
        • Figure 1.13: LTE Device Introduction Timeline
      • iii.Device Convergence and Development
      • iv.1.6.3.Spectrum: When and How Much1
        • Figure 1.14: Digital Dividend Spectrum Status
    • 1.6.4.Backhaul Capacity Requirements
      • Figure 1.15: Total Mobile Backhaul Bandwidth Capacity Requirement (Gbps) Split by Eight Regions 2011-2016
      • Table 1.7: Total Mobile Backhaul Bandwidth Capacity Requirement (Gbps) Split by Eight Regions 2011-2016

LTE Operator Status

  • Figure 2.1: Number of Network Commitments Comparison (HSDPA, HSUPA, HSPA+, LTE )
  • 2.1. North America
    • 2.1.1.Verizon Wireless USA
      • Figure 2.2: Verizon Wireless USA 4G Market Map
      • Table 2.1: Verizon Wireless 4G LTE Devices Example
    • 2.1.2.AT&T Mobility
      • i.LTE Strategy
      • ii.LTE Commercial Launch
    • Figure 2.3: AT&T LTE Coverage Map
  • 2.2. Latin America
    • 2.2.1.America Movil
  • 2.3. Western Europe
    • 2.3.1.TeliaSonera Norway & Sweden
      • Figure 2.4: Samsung LTE Modem Dongle
    • 2.3.2.Vodafone Germany
    • 2.3.3.Telecom Italia
    • 2.3.4.France Telecom Orange
      • i.LTE Strategy
      • ii.LTE Field Test Parameters
        • Figure 2.5: Architecture of the France Telecom Orange LTE EPC Trial Network
      • iii.LTE EPC Commercial Launch
        • Figure 2.6: France Telecom Orange LTE Deployment Timeline
    • 2.3.5.Everything Everywhere & 02, United Kingdom
      • Figure 2.7: Everything Everywhere and BT 4G LTE Broadband Trial Area Map
  • 2.4. Central & Eastern Europe
    • 2.4.1.Yota Russia
  • 2.5. Far East & China
    • 2.5.1.NTT DoCoMo Japan
      • Figure 2.8: NTT DoCoMo Super 3G ( LTE ) Timeplan
    • 2.5.2.China Mobile
  • 2.6. Indian Subcontinent
  • 2.7. Rest of Asia Pacific
    • 2.7.1.Telstra Australia
      • Figure 2.9: Telstra 4G LTE Mobile Broadband Dongle
    • 2.7.2.SingTel Singapore
  • 2.8. Africa & Middle East
    • 2.8.1.VivaCell-MTS Armenia
    • 2.8.2.Etisalat UAE
    • 2.8.3.Zain Bahrain
      • Table 2.2: Nokia Siemens Network Zain, Bahrain LTE Solution & Benefits
    • 2.8.4.MTS and Ucell Uzbekistan
  • 2.9. Analysis and Conclusion
    • 2.9.1.LTE Network Commitments to Date
      • Figure 2.10: LTE Network Commitments Split by 8 Key Regions (as at June 2010) Number MNOs
      • Table 2.3: LTE Network Commitments Split by 8 Key Regions (as at June 2011) Number MNOs
    • 2.9.2.LTE Future Launches by Country
      • Figure 2.11: LTE Network Launch Date by Country 2009-201 3 and Beyond
  • 2.10. Spectrum for LTE Deployments
    • Figure 2.12: LTE Potential Spectrum Bands
    • Table 2.4: Global LTE Spectrum Band Availability for Mobile Operators
    • 2.10.1.Spectrum Refarming
      • Table 2.5: Spectrum Refarming Cost Savings

LTE Subscriber Forecasts

  • 3.1. Methodology
    • 3.1.1.Geographical Splits
    • 3.1.2.Methodology and Assumptions
      • Figure 3.1: LTE Market Forecast Methodology
    • 3.1.3.Technology Splits
  • 3.2. Cellular Market Growth
    • Figure 3.2: Mobile Subscriber Base (m) Split by 8 Key Regions 2011.2016
    • Table 3.1: Mobile Subscriber Base (m) Split by 8 Key Regions 2011-2016
    • Figure 3.3: Cellular Subscriber Base Market Share (%) by Region 2011-2016
    • Table 3.2: Mobile Subscriber Base (%) Split by 8 Key Regions 2011-2016
    • Figure 3.4: Cellular Subscriber Penetration (%) Split by 8 Key Regions 2011-2016
    • Table 3.3: Cellular Subscriber Penetration (%) Split by 8 Key Regions 2011-2016
  • 3.3. Regional Broadband and LTE Subscriber Forecasts
    • 3.3.1.MNO Strategies
    • 3.3.2.North America
      • Figure 3.5: North America LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.4: North America LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Figure 3.6: North America LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.5: North America LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011 2016
    • 3.3.3.Latin America
      • Figure 3.7: North America LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.6: Latin America LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Figure 3.8: Latin America LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.7: Latin America LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
    • 3.3.4.Western Europe
      • Figure 3.9: Western Europe LTE and HSPA Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.8: Western Europe LTE and HSPA Mobile Broadband Subscribers (m) 2011-2016
      • Figure 3.10: Western Europe LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.9: Western Europe LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
    • 3.3.5.Central and Eastern Europe
      • Figure 3.11: Central and Eastern Europe LTE HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.10: Central and Eastern Europe LTE HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Figure 3.1 2: Central and Eastern Europe LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.11: Central and Eastern Europe LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
    • 3.3.6.Far East & China
      • Figure 3.13: Far East & China LTE , HSPA and EVDQ Revs A & B Mobile Broadband Subscribers (m)2011-2016
      • Table 3.12: Far East & China LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m)2011-2016
      • Figure 3.14: Far East & China LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.13: Far East & China LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
    • 3.3.7.Indian Subcontinent
      • Figure 3.15: Indian Subcontinent LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m)2011-2016
      • Table 3.14: Indian Subcontinent LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m)2011-2016
      • Figure 3.16: Indian Subcontinent LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.15: Indian Subcontinent LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
    • 3.3.8.Rest of Asia Pacific
      • Figure 3.17: Rest of Asia Pacific LTE , HSPA and EVDQ Revs A & B Mobile Broadband Subscribers (m)201I-2016
      • Table 3.1 6: Rest of Asia Pacific LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m)2011-2016
      • Figure 3.18: Rest of Asia Pacific LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.17: Rest of Asia Pacific LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
    • 3.3.9.Africa& Middle East
      • Figure 3.19 Africa & Middle East LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m)2011-2016
      • Table 3.18: Africa & Middle East LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Figure 3.20: Africa & Middle East LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.19: Africa & Middle East LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
    • 3.3.10.Global
      • Figure 3.21: Global LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.20: Global LTE , HSPA and EVDO Revs A & B Mobile Broadband Subscribers (m) 2011-2016
      • Figure 3.22: Global LTE Mobile Broadband Subscribers Split by 8 Key Regions (m) 2011-2016
      • Table 3.21: Global LTE Mobile Broadband Subscribers Split by 8 Key Regions (m) 2011-2016
      • Figure 3.23: Global LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Table 3.22: Global LTE Enterprise & Consumer Mobile Broadband Subscribers (m) 2011-2016
      • Figure 3.24: Global LTE Mobile Broadband Subscribers Added p.a.Split by 8 Key Regions (m) 2011-2016
      • Table 3.23: Global LTE Mobile Broadband Subscribers Added p.a.Split by 8 Key Regions (m)

LTE Business Models: Service Pricing Forecasts

  • 4.1. Tariff Announcements
    • 4.1.1.AT&T
    • 4.1.2.TeliaSonera
    • 4.1.3.Vodafone Germany
      • Figure 4.1: Vodafone Germany LTE Home Packages
    • 4.1.4.NTT DOCOMO
      • Figure 4.2: NTT DOCOMO LTE Monthly Charges
  • 4.2. LTE Service Pricing Approach
    • 4.2.1.Tariff Analysis
      • Figure 4.3: Analysis of LTE Pricing Announcements- $ per month
      • Table 4.1: Analysis of LTE Pricing Announcements by Operators- $ per month
      • Figure 4.4: Average LTE Pricing per Tier- $ per month
      • Table 4.2: Analysis of LTE Pricing Announcements- $ per month
    • 4.2.2.Pricing Assumptions and Limitations
      • Table 4.3: LTE Pricing Structure
  • 4.3. LTE Enterprise User Service Pricing
    • 4.3.1.LTE Enterprise Pricing: Premium
      • Figure 4.5: LTE Enterprise Service Pricing ($) Premium Split by 8 Key Regions 2011-2016
      • Table 4.4: LTE Enterprise Service Pricing ($) Premium Split by 8 Key Regions 2011-2016
    • 4.3.2.LTE Enterprise Pricing: Top Tier
      • Figure 4.6: LTE Enterprise Service Pricing ($) Top Tier Split by 8 Key Regions 2011-2016
      • Table 4.5: LTE Enterprise Service Pricing ($) Top Tier Split by 8 Key Regions 2011-2016
    • 4.3.3.LTE Enterprise Pricing: Mid Tier
      • Figure 4.7: LTE Enterprise Service Pricing ($) Mid Tier Split by 8 Key Regions 2011-2016
      • Table 4.6: LTE Enterprise Service Pricing ($) Mid Tier Split by 8 Key Regions 2011-2016
    • 4.3.4.LTE Enterprise Pricing: Low Tier
      • Figure 4.8: LTE Enterprise Service Pricing ($) Low Tier Split by 8 Key Regions 2011-2016
      • Table 4.7: LTE Enterprise Service Pricing ($) Low Tier Split by 8 Key Regions 2011-2016
  • 4.4. LTE Consumer User Service Pricing
    • 4.4.1.LTE Consumer Pricing: Premium
      • Figure 4.9: LTE Consumer Service Pricing ($) Premium Split by 8 Key Regions 2011-2016
      • Table 4.8: LTE Consumer Service Pricing ($) Premium Split by 8 Key Regions 2011-2016
    • 4.4.2.LTE Consumer Pricing: Top Tier
      • Figure 4.10: LTE Consumer Service Pricing ($) Top Tier Split by 8 Key Regions 2011-2016
      • Table 4.9: LTE Consumer Service Pricing ($) Top Tier Split by 8 Key Regions 2011-2016
    • 4.4.3.LTE Consumer Pricing: Mid Tier
      • Figure 4.11: LTE Consumer Service Pricing ($) Mid Tier Split by 8 Key Regions 2011-2016
      • Table 4.10: LTE Consumer Service Pricing ($) Mid Tier Split by 8 Key Regions 2011-2016
    • 4.4.4.LTE Consumer Pricing: Low Tier
      • Figure 4.12: LTE Consumer Service Pricing ($) Low Tier Split by 8 Key Regions 2011-2016
      • Table 4.11: LTE Consumer Service Pricing ($) Low Tier Split by 8 Key Regions 2011-2016
  • 4.5. Usage Adoption Scenarios
    • Table 4.12: LTE Usage Scenarios

LTE Business Model: Scenario 1 ‘Average’

  • 5.1. Service Revenues
    • 5.1.1.Enterprise Revenues
      • Figure 5.1: Scenario 1 LTE Enterprise Revenue Forecast ($m) Split by 8 Key Regions 2011-2016
      • Table 5.1: Scenario 1 LTE Enterprise Revenue Forecast ($m) Split by 8 Key Regions 2011-2016
    • 5.1.2.Consumer Revenues
      • Figure 5.2: Scenario 1 LTE Consumer Revenue Forecast ($m) Split by 8 Key Regions 2011-2016
      • Table 5.2: Scenario 1 LTE Consumer Revenue Forecast ($m) Split by 8 Key Regions 2011-2016
    • 5.1.3.Enterprise and Consumer Revenues
      • Figure 5.3: Scenario 1 LTE Enterprise and Consumer Revenue Forecast ($m) Split by 8 key Regions 2011-2016
      • Table 5.3: Scenario 1 LTE Enterprise and Consumer Revenue Forecast ($m) Split by 8 key Regions 2011-2015
      • Figure 5.4: Scenario 1Global Revenue Forecast (% share) Split by LTE Enterprise and Consumer 2011-2016
      • Table 5.4: Scenario 1Global Revenue Forecast (% share) Split by LTE Enterprise and Consumer 2011-2016
  • 5.2. Blended ARPU
    • Figure 5.5: Scenario 1 LTE Blended Enterprise and Consumer ARPU Forecast ($) Split by 8 Key Regions 2011-2016
    • Table 5.5: Scenario 1 LTE Blended Enterprise and Consumer ARPU Forecast ($) Split by 8 Key Regions 2011-2016

LTE Business Model: Scenario 2 ‘Power’

  • 6.1. Usage Adoption Profiles
    • 6.1.1.Enterprise Users
      • Figure 6.1: Scenario 2 Power User- Enterprise Adoption Profile Summary: Global (% of LTE users) 2011-2016
      • Table 6.1: Scenario 2 Power User- Enterprise Adoption Profile Summary: Global (% of LTE users) 2011-2016
    • 6.1.2.Consumer Users
      • Figure 6.2: Scenario 2 Power User- Consumer Adoption Profile Summary: Global (% of LTE users) 2011-2016
      • Table 6.2: Scenario 2 Power User- Consumer Adoption Profile Summary: Global (% of LTE users) 2011-2016
    • 6.1.3.Enterprise and Consumer Users
      • Figure 6.3: Scenario 2 Power User- Enterprise and Consumer Adoption Profile Summary: Global (%of LTE users)2011-2016
      • Table 6.3: Scenario 2 Power User- Enterprise and Consumer Adoption Profile Summary: Global (% of LTE users) 2011-2016
  • 6.2. Service Revenues 122
    • 6.2.1.Enterprise Revenues
      • Figure 6.4: Scenario 2 Power User- Enterprise Global Revenues ($m) Split by Tier 2011-2016
      • Table 6.4: Scenario 2 Power User- Enterprise Global Revenues ($m) Split by Tier 2011-2016
      • Figure 6.5: Scenario 2 Power User- Enterprise Global Revenues (%) Split by Tier 2011-2016
      • Table 6.5: Scenario 2 Power User- Enterprise Global Revenues (%) Split by Tier 2011-2016
      • Figure 6.6: Scenario 2 Power User- Enterprise Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Table 6.6: Scenario 2 Power User- Enterprise Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Figure 6.7: Scenario 2 Power User- Enterprise Global Revenues (%) Split by 8 Key Regions 2011-2016
      • Table 6.7: Scenario 2 Power User- Enterprise Global Revenues (%) Split by 8 Key Regions 2011-2016
    • 6.2.2.Consumer Revenues
      • Figure 6.8: Scenario 2 Power User- Consumer Global Revenues ($m) Split by Tier 2011-2016
      • Table 6.8: Scenario 2 Power User- Consumer Global Revenues ($m) Split by Tier 2011-2016
      • Figure 6.9: Scenario 2 Power User- Consumer Global Revenues (%) Split by Tier 2011-2016
      • Table 6.9: Scenario 2 Power User- Consumer Global Revenues (%) Split by Tier 2011-2016
      • Figure 6.10: Scenario 2 Power User- Consumer Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Table 6.10: Scenario 2 Power User- Consumer Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Figure 6.11: Scenario 2 Power User- Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
      • Table 6.11: Scenario 2 Power User- Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
    • 6.2.3.Enterprise and Consumer Revenues 130
      • Figure 6.12: Scenario 2 Power User- Enterprise and Consumer Global Revenues ($m) Split Tier 2011-20I6
      • Table 6.12: Scenario 2 Power User- Enterprise and Consumer Global Revenues ($m) Split Tier 2011-2016
      • Figure 6.13: Scenario 2 Power User- Enterprise and Consumer Global Revenues (%) Split by Tier 2011-2016
      • Table 6.13: Scenario 2 Power User- Enterprise and Consumer Global Revenues (%) Split by Tier 2011-2016
      • Figure 6.14: Scenario 2 Power User- Enterprise and Consumer Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Table 6.14: Scenario 2 Power User- Enterprise and Consumer Global Revenues ($m) Split by 8 KeyRegions 2011-2016
      • Figure 6.15: Scenario 2 Power User- Enterprise and Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
      • Table 6.15: Scenario 2 Power User- Enterprise and Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
  • 6.3. ARPU 134
    • 6.3.1.Enterprise ARPU 134
      • Figure 6.16: Scenario 2 Power User- Enterprise ARPU ($m) Split by 8 Key Regions 2011-20161
      • Table 6.16: Scenario 2 Power User- Enterprise ARPU ($m) Split by 8 Key Regions 2011-20161
    • 6.3.2.Consumer ARPU 135
      • Figure 6.17: Scenario 2 Power User- Consumer ARPU ($m) Split by 8 Key Regions 2011-201
      • Table 6.17: Scenario 2 Power User- Consumer ARPU ($m) Split by 8 Key Regions 2011-201
    • 6.3.3.Enterprise and Consumer Blended ARPU 136
      • Figure 6.18: Scenario 2 Power User- Enterprise and Consumer Blended ARPU ($m) Split by Key Regions 2011-2016
      • Table 6.18: Scenario 2 Power User- Enterprise and Consumer Blended ARPU ($m) Split by KeyRegions 2011-2016

LTE Business Model: Scenario 3 ‘Low- Mid’

  • 7.1. Usage Adoption Profiles 138
    • 7.1.1.Enterprise Users 138
      • Figure 7.1: Scenario 3 Low-Mid User- Enterprise Adoption Profile Summary: Global (% of LTE users)2011-2016
      • Table 7.1: Scenario 3 Low-Mid User- Enterprise Adoption Profile Summary: Global (% of LTE users) 2011-2016
    • 7.1.2.Consumer Users
      • Figure 7.2: Scenario 3 Low-Mid User- Consumer Adoption Profile Summary: Global (% of LTE users) 2011-2016
      • Table 7.2: Scenario 3 Low-Mid User- Consumer Adoption Profile Summary: Global (% of LTE users) 2011-2016
    • 7.1.3.Enterprise and Consumer Users
      • Figure 7.3: Scenario 3 Low-Mid User- Enterprise and Consumer Adoption Profile Summary: Global (% of LTE users) 2011-2016
      • Table 7.3: Scenario 3 Low-Mid User- Enterprise and Consumer Adoption Profile Summary: Global (% of LTE users) 2011-2016
  • 7.2. Service Revenues 141
    • 7.2.1.Enterprise Revenues 141
      • Figure 7.4: Scenario 3 Low-Mid User- Enterprise Global Revenues Split by Tier ($m) 2011-2016
      • Table 7.4: Scenario 3 Low-Mid User- Enterprise Global Revenues Split by Tier ($m) 2011-2016
      • Figure 7.5: Scenario 3 Low-Mid User- Enterprise Global Revenues Split by Tier (%) 2011-2016
      • Table 7.5: Scenario 3 Low-Mid User- Enterprise Global Revenues Split by Tier (%) 2011-2016
      • Figure 7.6: Scenario 3 Low-Mid User- Enterprise Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Table 7.6: Scenario 3 Low-Mid User- Enterprise Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Figure 7.7: Scenario 3 Low-Mid User- Enterprise Global Revenues (%) Split by 8 Key Regions 2011-2016
      • Table 7.7: Scenario 3 Low-Mid User- Enterprise Global Revenues (%) Split by 8 Key Regions 2011-2016
    • 7.2.2.Consumer Revenues
      • Figure 7.8: Scenario 3 Low-Mid User- Consumer Global Revenues ($m) Split by Tier 2011-2016
      • Table 7.8: Scenario 3 Low-Mid User- Consumer Global Revenues ($m) Split by Tier 2011-2016
      • Figure 7.9: Scenario 3 Low-Mid User- Consumer Global Revenues (%) Split by Tier 2011-2016
      • Table 7.9: Scenario 3 Low-Mid User- Consumer Global Revenues (%) Split by Tier 2011-2016
      • Figure 7.10: Scenario 3 Low-Mid User- Consumer Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Table 7.10: Scenario 3 Low-Mid User- Consumer Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Figure 7.11: Scenario 3 Low-Mid User- Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
      • Table 7.11: Scenario 3 Low-Mid User- Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
    • 7.2.3.Enterprise and Consumer Revenues ISO
      • Figure 7.1 2: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues ($m) Split by Tier 2011-2016
      • Table 7.12: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues ($m) Split by Tier 2011-2016
      • Figure 7.13: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues (%) Split by Tier 2011-2016
      • Table 7.13: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues (%) Split by Tier 2011-2016
      • Figure 7.14: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Table 7.14: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues ($m) Split by 8 Key Regions 2011-2016
      • Figure 7.15: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
      • Table 7.15: Scenario 3 Low-Mid User- Enterprise and Consumer Global Revenues (%) Split by 8 Key Regions 2011-2016
  • 7.3. ARPU
    • 7.3.1.Enterprise ARPU
      • Figure 7.1 6: Scenario 3 Low-Mid User- Enterprise ARPU ($m) Split by 8 Key Regions 2011-201
      • Table 7.16: Scenario 3 Low-Mid User- Enterprise ARPU($m) Split by 8 Key Regions 2011-2016
    • 7.3.2.Consumer ARPU
      • Figure 7.1 7: Scenario 3 Low-Mid User- Consumer ARPU ($m) Split by 8 Key Regions 2011-201
      • Table 7.17: Scenario 3 Low-Mid User- Consumer ARPU ($m) Split by 8 Key Regions 2011-2016
    • 7.3.3.Enterprise and Consumer Blended ARPU
      • Figure 7.18: Scenario 3 Low-Mid User- Enterprise and Consumer Blended ARPU ($m) Split by Key Regions 2011-2016
      • Table 7.18: Scenario 3 Low-Mid User- Enterprise and Consumer Blended ARPU ($m) Split by Key Regions 2011-2016

Scenario Comparisons and Conclusions

  • 8.1. Global Service Revenues
    • 8.1.1.Enterprise
      • Figure 8.1: Global LTE Enterprise Service Revenue Scenario Comparison ($m) 2011-2016
      • Table 8.1: Global LTE Enterprise Service Revenue Scenario Comparison ($m) 2011-2016
    • 8.1.2.Consumer
      • Figure 8.2: Global LTE Consumer Service Revenue Scenario Comparison ($m) 2011-2016
      • Table 8.2: Global LTE Consumer Service Revenue Scenario Comparison ($m) 2011-2016
    • 8.1.3.Enterprise and Consumer
      • Figure 8.3: Global LTE Enterprise and Consumer Service Revenue Scenario Comparison ($m) 2011-2016
      • Table 8.3: Global LTE Enterprise and Consumer Service Revenue Scenario Comparison ($m) 2011-2016
  • 8.2. ARPU 161
    • 8.2.1.Enterprise
      • Figure 8.4: Global LTE Enterprise ARPU Scenario Comparison ($) 2011-2016
      • Table 8.4: Global LTE Enterprise ARPU Scenario Comparison ($) 2011-2016
    • 8.2.2.Consumers
      • Figure 8.5: Global LTE Consumer ARPU Scenario Comparison ($) 2011-2016
      • Table 8.5: Global LTE Consumer ARPU Scenario Comparison ($) 2011-2016
    • 8.2.3.Blended Enterprise and Consumer
      • Figure 8.6: Global LTE Blended Enterprise and Consumer ARPU Scenario Comparison ($) 2011-2016
      • Table 8.6: Global LTE Blended Enterprise and Consumer ARPU Scenario Comparison ($) 2011-2016
  • 8.3. Conclusions

Spectrum Costs & Capex Analysis

  • 9.1.Spectrum Costs
  • 9.2. Analysis: Western Europe
    • 9.2.1.Spectrum Cost Analysis
      • Table 9.1: Western Europe Spectrum Band Auction, October 2011
      • Figure 9.1: Western Europe LTE Service Revenue ($m) Scenario Comparison
      • Table 9.2: Western Europe LTE Service Revenue ($m) Scenario Comparison
    • 9.2.2.Infrastructure Cost Analysis
      • Figure 9.2: Infrastructure Cost ($m) Analysis for Western Europe
      • Table 9.3: Infrastructure Cost ($m) Analysis for Western Europe
    • 9.2.3.Operational Cost & LTE Service Revenue Comparison
      • Figure 9.3 Operational Cost vs.Scenario based LTE Service Revenue ($m) for Western Europe 2011-2016
      • Table 9.4 Operational Cost vs.Scenario based LTE Service Revenue ($m) for Western Europe 2011-2016
    • 9.2.4.Cumulative Net Cash Flow Analysis
      • Figure 9.4: Cumulative Net Cash Flow Analysis for Western Europe ($bn) 2011-2016
      • Table 9.5: Cumulative Net Cash Flow Analysis for Western Europe ($bn) 2011-2016

Glossary

Press Release

全球的4G LTE收益、預計在2016年可能會超過2,650億美金

2012年02月01日

Global Information, Inc.開始代理銷售Juniper Research所發行的報告書「4G LTE Strategies: Business Models, Scenarios & Revenues 2011-2016 (4G LTE(前瞻長程演進)策略:經營模式,方案,及收入(2011-2016年))」。

依照Juniper Research的此報告書、全球的LTE行動網路服務收益、在網路引進後、急速的擴大、2016年預計超過2,650億美金。

LTE一般加入者數在2016年會超越法人加入者數量、從收益層面來看其狀況會有所差異、一般部門的部分、預計為收益整體的半數以下。

階段性使用專案、會接近貴賓使用者

對於高階的企業使用者來說、保證必要的連結及服務等級之優惠服務費用制度的引進、是帶給LTE收益增加的重要手段。

依照此報告書、LTE的初期採用者、應為每月付款金額的高額層面頂尖使用者。

此傾向、在先進國家與發展中國家皆相同。

本報告書的著作者、Nitin Bhas述說、「發展中國家的高階企業使用者、在北美及西歐中的類似使用者與、付款金額幾乎無差距。另一方面、與包含2G的所有移動體服務的高水準ARPU所帶來的發展中國家人口的絕大部分相較下、有很大的差距」。

LTE商業模式 – 豐富的機會

本報告書中、評價4個服務費用分類的發展情境、各種服務使用型態的3種商業模式、以及分析LTE的收益機會。

使用視訊、網路、以及郵件服務的通訊費用居多的加入者、享有LTE恩惠的LTE初期採用者層之展望、所有的發展情境、會對收益與APRU的增加之可能性明確化。

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