Satellite Communications

Wireless Backhaul via Satellite, 12th Edition

PUBLISHED: April 2018

Available Licenses: Standard: $4,495 Enterprise: $8,495

  • Report Summary
  • Key Features
  • Table of Contents
  • Supporting Articles

NSR’s Wireless Backhaul via Satellite, 12th Edition is the longest-standing industry analysis and forecast of the Satellite Backhaul and Trunking backbone sector.

The assessment covers the installed base of sites in seven regional markets, investigates trends impacting market growth and business models, forecasts capacity requirements and equipment shipments, and calculates satellite capacity and CPE revenues.

Widebeam C-band, Ku-band and Ka-band coverage together with an HTS breakout into C-band, Ku-band, Ka-band and non-GEO HTS is now a standard segmentation for this report. In addition, for the Mobile Backhaul section, this study includes a comparison of backhaul technologies(terrestrial and satellite), a series of financial models comparing different satellite architectures and base station technologies, a chapter assessing the addressable market and a discussion on price elasticity of demand.

NEW in This Edition

NSR’s Wireless Backhaul via Satellite, 12thEdition study adds a range of additional content. After years of hype generation, 5G is here. This edition of the Wireless Backhaul report includes an update on the status of 5G implementations, together with an analysis of the key requirements, challenges and opportunities from a Satcom perspective.

Ground equipment plays a critical role in meeting the performance requirements to penetrate Backhaul markets. Generation change opens opportunities (and risks) for transforming the scene with new entrants setting pressure on legacy actors. This edition of the report expands the list of modem vendors featured in the market share assessment.

Satellite capacity pricing is going through a painful readjustment with steep declines across the board. In this scenario, it is hard for operators to grow revenues. This edition of the report studies how the addressable market expands in the face of alternative technologies as capacity pricing declines. Matching MNOs network requirements with the elasticity analysis, Satellite Operators can find the sweet spot for capacity pricing to reactivate revenue growth.

NSR’s Wireless Backhaul via Satellite, 12th Edition is based on long-standing methodologies that have been validated and improved over the previous editions of the report. NSR rigorously tracks the public announcements of all major players across the value chain and has carried extensive interviews to build base year and carefully formulate forecast data. In addition, NSR is actively present in major conferences and events in order to assess, discuss and analyze new and emerging market trends with key players in the satellite and terrestrial industries such as the Mobile World Congress as well as satellite specific events.

The NSR Difference

NSR has consistently stayed ahead of the curve anticipating market dynamics in the satellite industry. In this time of profound transformation, NSR is the most trustful partner to shape the vision of the Satellite Backhaul, Trunking and the innovative IP Content Distribution markets. This unbiased report, which builds upon market needs that include application requirements, traffic trends, cost structures and other market-driven elements, serves as an opportunity roadmap for future strategic decisions.

The report continues to provide an honest assessment of market fit in terms of scrutinizing the value proposition of market players where the reader is able to navigate various market segments, regions and platform choices in this promising but risky business landscape.

Companies and Organizations mentioned in NSR’s  WBS12: Intelsat, SES, Eutelsat, Telesat, StarOne, Hispasat, Avanti, YahSat, ArabSat, SpaceCom, OneWeb, SpaceX, LeoSat, Comtech, Gilat, Hughes, iDirect, Newtec, UHP, EE, SoftBank, Telefónica, Claro, Sprint, T-Mobile, Orange, MTN, Vodafone, Bharti, Reliance Jio, Vodacom, Airtel, Safaricom, Etisalat, Ooredoo, Millicom, Roshan, Telstra, Optus, BSNL Mobile, NTT DoCoMo, Globe, KT, AIS, SpeedCast, Globecomm, Liquid Telecom, Telespazio, Ericsson, Nokia, Huawei and GSMA.

Executive Summary

1.Global Overview
1.1.Introduction and Review
1.2.1.Market Segments
1.2.2.Market Forecast
1.2.3.Regional Definitions
1.3.Global Figures
1.3.1.Active Sites
1.3.2.Capacity Demand
1.3.3.Capacity Revenues
1.3.4.CPE Shipments and Revenues
1.3.5.Bottom Line

2.Wireless Backhaul
2.1.At a Glance
2.2.Scope and Definitions
2.3.Major Market Trends and Global Figures
2.3.1.Active Sites
2.3.2.Capacity Demand
2.3.3.Capacity Revenues
2.3.4.CPE Shipments and Revenues
2.3.5.Modems Market Share
2.3.7.Comparison with Previous Edition
2.3.8.Bottom Line
2.3.9.Selected Articles
2.4. Financial Models
2.4.1. GEO ROI Case Study
2.4.2. Non-GEO ROI Case Study
2.4.3. Elasticity Competitiveness Against Ground Alternatives Data Volume Crossover Capturing the Long Tail
2.5.Addressable Market
2.6.Regional Forecast
2.6.1. North America
2.6.2. Latin America
2.6.3. Western Europe
2.6.4. Central and Eastern Europe
2.6.5. Middle East and North Africa
2.6.6. Sub-Saharan Africa
2.6.7. Asia

3. Trunking
3.1.At a Glance
3.2.Scope and Definitions
3.3. Major Market Trends and Global Figures
3.3.1. In-Service Units
3.3.2. Capacity Demand
3.3.3. Capacity Revenues
3.3.4. CPE Shipments and Revenues
3.3.5. Comparison with Previous Edition
3.3.6. Bottom Line
3.3.7. Selected Articles
3.4.Regional Breakdown
3.4.1.North America
3.4.2.Latin America
3.4.3.Western Europe
3.4.4.Central and Eastern Europe
3.4.5.Middle East and North Africa
3.4.6.Sub-Saharan Africa

4.IP Content Distribution
4.1.Scope and Definitions
4.2.Major Market Trends and Global Figures
4.2.1.Global Trends
4.2.2.In-Service Units and Capacity Demand
4.2.3.Capacity and CPE Revenues
4.2.4.Bottom Line
4.2.5.Selected Articles
4.2.6.Comparison with Previous Edition

ANNEX Methodology and Assumptions
A.1 Mobile Backhaul Forecast Methodology and Assumptions
A.2 Trunking Forecast Methodology and Assumptions
A.3 IP Content Distribution Forecast Methodology and Assumptions

List of Exhibits

E-1. Net Increase – In-Service Units. Wireless Backhaul
E-2. Cumulative Revenues – Capacity. Wireless Backhaul
E-3. In-Service Units. Wireless Backhaul
E-4. Net Increase – In-Service Units. Trunking
E-5. Cumulative Revenues – Capacity. Trunking
E-6. Capacity Demand. Trunking
E-7. Net Increase – In-Service Units. IP Content Distribution
E-8. Cumulative Revenues – Capacity. IP Content Distribution
E-9. In-Service Units. IP Content Distribution

1.3-1. Total Global Sites
1.3-2. Verticals Share of Active Sites
1.3-3. Global Capacity Demand by Frequency
1.3-4. Global Capacity Demand by Vertical
1.3-5. Global Capacity Revenues by Region
1.3-6. Verticals Share of Capacity Revenues
1.3-7. Global CPE Shipments
1.3-8. Global CPE Revenues

2.3-1. Active Sites by BTS Technology
2.3-2. Share of Capacity Demand (2G/3G/4G)
2.3-3. Capacity Revenues Evolution
2.3-4. Global Shipments by BTS Technology
2.3-5. CPE Cumulative Revenues
2.3-6. CPE Shipments Market Share
2.3-7. Modem Revenues Market Share
2.3-8. In-Service Units Comparison with Previous Edition
2.3-9. Capacity Revenues Comparison with Previous Edition
2.3-10. CPE Revenues Comparison with Previous Edition
2.4-1. 5-Years TCO for Different Backhaul Technologies (3G)
2.4-2. Cost vs. Traffic for a Generic Base Station
2.4-3. Cost per GB as Data Traffic Increases
2.4-4. Crossover point GB/month
2.4-5. Share of Traffic per Share of Cells
2.5-1 Total Mobile Base Stations (all technologies)
2.6.1-1. NAM In-Service Units Share by Technology
2.6.1-2. NAM In-Service Units by BTS Technology
2.6.1-3. NAM In-Service Units by Frequency
2.6.1-4. NAM Capacity Demand
2.6.1-5. NAM Capacity Revenues
2.6.1-6. NAM Shipments by BTS Technology
2.6.1-7. NAM CPE Revenues by Frequency
2.6.2-1. LAM In-Service Units Share by Technology
2.6.2-2. LAM In-Service Units by BTS Technology
2.6.2-3. LAM In-Service Units by Frequency
2.6.2-4. LAM Capacity Demand
2.6.2-5. LAM Capacity Revenues
2.6.2-6. LAM Shipments by BTS Technology
2.6.2-7. LAM CPE Revenues by Frequency
2.6.3-1. WEU In-Service Units Share by Technology
2.6.3-2. WEU In-Service Units by BTS Technology
2.6.3-3. WEU In-Service Units by Frequency
2.6.3-4. WEU Capacity Demand
2.6.3-5. WEU Capacity Revenues
2.6.3-6. WEU Shipments by BTS Technology
2.6.3-7. WEU CPE Revenues by Frequency
2.6.4-1. CEEU In-Service Units Share by Technology
2.6.4-2. CEEU In-Service Units by BTS Technology
2.6.4-3. CEEU In-Service Units by Frequency
2.6.4-4. CEEU Capacity Demand
2.6.4-5. CEEU Capacity Revenues
2.6.4-6. CEEU Shipments by BTS Technology
2.6.4-7. CEEU CPE Revenues by Frequency
2.6.5-1. MENA In-Service Units Share by Technology
2.6.5-2. MENA In-Service Units by BTS Technology
2.6.5-3. MENA In-Service Units by Frequency
2.6.5-4. MENA Capacity Demand
2.6.5-5. MENA Capacity Revenues
2.6.5-6. MENA Shipments by BTS Technology
2.6.5-7. MENA CPE Revenues by Frequency
2.6.6-1. SSA In-Service Units Share by Technology
2.6.6-2. SSA In-Service Units by BTS Technology
2.6.6-3. SSA In-Service Units by Frequency
2.6.6-4. SSA Capacity Demand
2.6.6-5. SSA Capacity Revenues
2.6.6-6. SSA Shipments by BTS Technology
2.6.6-7. SSA CPE Revenues by Frequency
2.6.7-1. ASIA In-Service Units Share by Technology
2.6.7-2. ASIA In-Service Units by BTS Technology
2.6.7-3. ASIA In-Service Units by Frequency
2.6.7-4. ASIA Capacity Demand
2.6.7-5. ASIA Capacity Revenues
2.6.7-6. ASIA Shipments by BTS Technology
2.6.7-7. ASIA CPE Revenues by Frequency

3.3-1 Global In-Service Units
3.3-2 Global Capacity Demand
3.3-3. Total Trunking Capacity Demand
3.3-4. Global Capacity Revenues by Frequency
3.3-5. Global CPE Shipments
3.3-6. Global CPE Revenues
3.3-7. In-Service Comparison with Previous Edition
3.3-8. Capacity Revenues Comparison with Previous Edition
3.3-9. CPE Revenues Comparison with Previous Edition
3.4.1-1. NAM In-Service Units
3.4.1-2. NAM CPE Revenues
3.4.1-3. NAM Capacity Demand
3.4.1-4. NAM Capacity Revenues
3.4.2-1. LAM In-Service Units
3.4.2-2. LAM CPE Revenues
3.4.2-3. LAM Capacity Demand
3.4.2-4. LAM Capacity Revenues
3.4.3-1. WEU In-Service Units
3.4.3-2. WEU CPE Revenues
3.4.3-3. WEU Capacity Demand
3.4.3-4. WEU Capacity Revenues
3.4.4-1. CEEU In-Service Units
3.4.4-2. CEEU CPE Revenues
3.4.4-3. CEEU Capacity Demand
3.4.4-4. CEEU Capacity Revenues
3.4.5-1. MENA In-Service Units
3.4.5-2. MENA CPE Revenues
3.4.5-3. MENA Capacity Demand
3.4.5-4. MENA Capacity Revenues
3.4.6-1. SSA In-Service Units
3.4.6-2. SSA CPE Revenues
3.4.6-3. SSA Capacity Demand
3.4.6-4. SSA Capacity Revenues
3.4.7-1. ASIA In-Service Units
3.4.7-2. ASIA CPE Revenues
3.4.7-3. ASIA Capacity Demand
3.4.7-4. ASIA Capacity Revenues

4.2-1. Monthly Bandwidth Cost per Channel
4.2-2. Satellite Multicast Crossover Analysis
4.2-3. Global In-Service Units
4.2-4. Capacity Demand
4.2-5. Capacity Revenues
4.2-6. CPE Revenues
4.2-7. In-Service Units Comparison with Previous Edition
4.2-8. Capacity Revenues Comparison with Previous Edition
4.2-9. CPE Revenues Comparison with Previous Edition

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