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Satellite Communications

Wireless Backhaul via Satellite, 14th Edition

PUBLISHED: February 2020

Available Licenses: Standard: $4,595 Enterprise: $8,595

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

NSR’s Wireless Backhaul via Satellite, 14th Edition is the longest-standing industry analysis and forecast of the Satellite Backhaul and Trunking backbone sector. The study analyzes all the key market trends behind each major category of backhaul connectivity-services using a fixed satellite antenna:

  • Cellular Backhaul
  • Trunking
  • Hybrid Networks

The study covers the global installed base of sites broken down by 7 regions, forecasts capacity demand, assesses capacity revenues as well as CPE shipments and revenues. New in this edition, the report presents segmentation between Smallcells and Macrocells, and NSR provides analysis of the implications of the emergence of Smallcells in terms of expansion of the addressable market (unlocking the low-end segments), new Business Models (revenue share, etc.) and much lower Total Cost of Ownership. Furthermore, this edition of the report includes an overview on the recent M&As in the VSAT space and the motivations and consequences for the market.

The report also analyzes capacity revenue trends, equipment vendor market share and Cellular Backhaul addressable markets. Now standard in NSR’s report, capacity and equipment forecasts are structured into FSS-C, -Ku and -Ka band, GEO-HTS-C, -Ku and -Ka band and non-GEO-HTS. Strategic insights on markets and verticals key to capturing growth in these current transformational times are core elements of this study.

Bottom Line: what are the actionable insights to capture revenue growth from capacity leases, services and equipment sales in each region and market vertical?

NSR’s Wireless Backhaul via Satellite, 14th 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 data 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 forecast period for all market segments covers ten years, and in this WBS14 study, the market assessment runs from 2019 to 2029. The report outlines the Satellite Backhaul markets structured in 3 key segments: Cellular Backhaul, Trunking and Hybrid Networks. Forecasts are broken down in 7 regions: NAM, LAM, WEU, CEEU, MENA, SSA and ASIA. Forecasts are also structured by frequency: FSS – C, Ku, Ka; GEO-HTS – C, Ku, Ka; Non GEO-HTS. NSR forecasts Active Sites (2G/3G/4G/5G; Smallcell/Macrocell), Capacity Demand, Capacity Revenues, Service Revenues, Shipments and CPE Revenues.

The core of NSR’s detailed market review is rooted in the bottom-up assessment and forecast of the installed base of Backhaul, Trunking, Hybrid Networks and 5G Sites in each of the seven different regions analyzed in this study. Following the installed base assessment, NSR then evaluates capacity demand in all frequencies and architectures, CPE shipments as well as the revenues generated.

Who Should Purchase this Report?

  • Satellite Operators
  • Equipment Vendors
  • Service Providers
  • Mobile Infrastructure Operators
  • Innovation and Industry Agencies
  • Investment Community
  • Anyone Seeking a Detailed, Actionable Assessment of the Satellite Industry with a Particular Focus on Wireless Backhaul markets

Companies and Organizations Mentioned in the Report:

ABS, Africa Mobile Networks, Altice, Amazon, Andesat, Antrix/ISRO, APT Satellite, ArabSat, AsiaSat, Avanti Communications, Axess, Broadpeak, CETel, China Satcom, Claro, Comtech, EE, Digicel, Entel, Ericsson, Eutelsat, Facebook, Gazprom Space Systems, Gilat, Globe Telecom, Globecomm, Google, Hispasat, Huawei, Hughes, iDirect, Intelsat, IP.ACCESS, Kacific, KDDI, Loon, MEASAT,  MTN, NBN, Neotion, Newtec, Nokia, NuRAN, O3b, OneWeb, Optus, Orange, Parallel Wireless, Quadrille, Reliance Jio, Rostelcom, RSCC, SES, SKY Perfect JSAT, Softbank, Spacecom, Spacebridge, SpaceX, Speedcast, Sprint, Star One, Talia, Telefonica, Telenor, Telesat, Thaicom, TIM, T-Mobile, UHP, ViaSat, Vodacom, Vodafone, YahSat, and ZTE.

Table of Contents

Introduction and Definitions

Executive Summary

  1. Global Overview
    1. Global Analysis
    2. Bottom Line
  2. Wireless Backhaul
    1. Scope and Definitions
    2. Executive Summary
    3. Wireless Backhaul Active Sites and Revenues by Region, 2019-2029
    4. Major Market Trends and Global Figures
      1. Active Sites
      2. Capacity Demand
      3. Capacity Revenues
      4. Equipment
      5. Modem Market Share
      6. Bottom Line
      7. Selected Articles
    5. Financial Models
      1. GEO ROI Case Study (Macrocell)
      2. GEO ROI Case Study (Smallcell)
      3. Non GEO ROI Case Study (Macroccell)
      4. Elasticity
        1. Competitiveness Against Ground Alternatives
        2. Data Volume Crossover
        3. Capturing the Long Tail
    6. Addressable Market
    7. Regional Forecast
      1. North America
      2. Latin America
      3. Western Europe
      4. Central and Eastern Europe
      5. Middle East and North Africa
      6. Sub-Saharan Africa
      7. Asia
    8. Comparison with Previous Edition
  3. Trunking
    1. Scope and Definitions
    2. Executive Summary
    3. Trunking Active Sites and Revenues by Region, 2019-2029
    4. Major Market Trends and Global Figures
      1. Active Sites
      2. Capacity Demand
      3. Equipment Forecast
      4. Bottom Line
      5. Selected Articles
    5. Regional Breakdown
      1. North America
      2. Latin America
      3. Western Europe
      4. Central and Eastern Europe
      5. Middle East and North Africa
      6. Sub-Saharan Africa
      7. Asia
    6. Comparison with Previous Edition
  4. Hybrid Networks
    1. Scope and Definitions
    2. Executive Summary
    3. Hybrid Networks Active Sites and Revenues by Region, 2019-2029
    4. Major Market Trends and Global Figures
      1. OTT over Satellite
      2. Use Cases
      3. Case Studies
      4. Market Forecast
      5. Bottom Line
      6. Selected Articles

ANNEX Methodology and Assumptions

List of Exhibits

Executive Summary

  • E-1. Active Sites by BTS Technology. Wireless Backhaul
  • E-2. Total Backhaul Capacity Demand by BTS Technology. Wireless Backhaul
  • E-3. Cumulative Capacity Revenues. Wireless Backhaul
  • E-4. Global Modem Shipments. Wireless Backhaul
  • E-5. Global Trunking In-Service Units. Trunking
  • E-6. Total Trunking Capacity Demand. Trunking
  • E-7. Global Capacity Revenues by Frequency. Trunking
  • E-8. Global CPE Revenues. Trunking
  • E-9. Global In-Service Units. Hybrid Networks
  • E-10. Capacity Demand. Hybrid Networks
  • E-11. Global Revenues by Frequency. Hybrid Networks
  • E-12. Global CPE Revenues. Hybrid Networks

 

  1. Global Overview
    • 1.1-1. Total Global Sites
    • 1.1-2. Verticals Share of Active Sites
    • 1.1-3. Global Capacity Demand by Frequency
    • 1.1-4. Global Capacity Demand by Vertical
    • 1.1-5. Global Capacity Revenues by Region
    • 1.1-6. Verticals Share of Capacity Revenues
    • 1.1-7. Global CPE Shipments
    • 1.1-8. Global CPE Revenues
  2. Wireless Backhaul
    • 2.2-1. Active Sites by BTS Technology
    • 2.2-2. Total Backhaul Capacity Demand by BTS Technology
    • 2.2.3. Cumulative Capacity Revenues
    • 2.2.4. Global Modem Shipments
    • 2.4-1. Active Sites by BTS Technology
    • 2.4-2. Share of Capacity Demand (2G/3G/4G/5G)
    • 2.4-3. Capacity Revenues Evolution
    • 2.4-4. Global Shipments by BTS Technology
    • 2.4-5. CPE Cumulative Revenues
    • 2.4-6. Modem Shipments Market Share
    • 2.4-7. Modem Revenues Market Share
    • 2.5-1. 5-Years TCO for Different Backhaul Technologies (3G BTS – 2.5 Mbps Allocation)
    • 2.5-2. Cost vs. Traffic for a Generic Base Station
    • 2.5-3. Cost per GB as Data Traffic Increases
    • 2.5-4. Crossover point GB/month
    • 2.5-5. Share of Traffic per Share of Cells
    • 2.6-1 Total Mobile Base Stations (all technologies)
    • 2.7.1-1. NAM In-Service Units by BTS Technology
    • 2.7.1-2. NAM In-Service Units by Cell Size
    • 2.7.1-3. NAM Capacity Demand
    • 2.7.1-4. NAM Capacity Revenues
    • 2.7.1-5. NAM Shipments by BTS Technology
    • 2.7.1-6. NAM CPE Revenues by Frequency
    • 2.7.2-1. LAM In-Service Units by BTS Technology
    • 2.7.2-2. LAM In-Service Units by Frequency
    • 2.7.2-3. LAM Capacity Demand
    • 2.7.2-4. LAM Capacity Revenues
    • 2.7.2-5. LAM Shipments by Cell Size
    • 2.7.2-6. LAM CPE Revenues by Technology
    • 2.7.3-1. WEU In-Service Units by BTS Technology
    • 2.7.3-2. WEU In-Service Units by Frequency
    • 2.7.3-3. WEU Capacity Demand
    • 2.7.3-4. WEU Capacity Revenues
    • 2.7.3-5. WEU Shipments by Cell Size
    • 2.7.3-6. WEU CPE Revenues by Frequency
    • 2.7.4-1. CEEU In-Service Units by BTS Technology
    • 2.7.4-2. CEEU In-Service Units by Frequency
    • 2.7.4-3. CEEU Capacity Demand
    • 2.7.4-4. CEEU Capacity Revenues
    • 2.7.4-5. CEEU Shipments by BTS Technology
    • 2.7.4-6. CEEU CPE Revenues by Frequency
    • 2.7.5-1. MENA In-Service Units by BTS Technology
    • 2.7.5-2. MENA In-Service Units by Frequency
    • 2.7.5-3. MENA Capacity Demand
    • 2.7.5-4. MENA Capacity Revenues
    • 2.7.5-5. MENA Shipments by BTS Technology
    • 2.7.5-6. MENA CPE Revenues by Frequency
    • 2.7.6-1. SSA In-Service Units by BTS Technology
    • 2.7.6-2. SSA In-Service Units by Cell Size
    • 2.7.6-3. SSA Capacity Demand
    • 2.7.6-4. SSA Capacity Revenues
    • 2.7.6-5. SSA Shipments by BTS Technology
    • 2.7.6-6. SSA CPE Revenues by Cell Size
    • 2.7.7-1. ASIA In-Service Units by BTS Technology
    • 2.7.7-2. ASIA In-Service Units by Cell Size
    • 2.7.7-3. ASIA Capacity Demand
    • 2.7.7-4. ASIA Capacity Revenues
    • 2.7.7-5. ASIA Shipments by BTS Technology
    • 2.7.7-6. ASIA CPE Revenues by Cell Size
    • 2.8-1. In-Service Units Comparison with Previous Edition
    • 2.8-2. Capacity Revenues Comparison with Previous Edition
    • 2.8-3. CPE Revenues Comparison with Previous Edition
  3. Trunking
    • 3.2-1. Global Trunking In-Service Units
    • 3.2-2. Total Trunking Capacity Demand
    • 3.2-3. Global Capacity Revenues by Frequency
    • 3.2-4. Global CPE Revenues
    • 3.4-1. Global In-Service Units
    • 3.4-2. Global Capacity Demand
    • 3.4-3. Global Capacity Revenues by Frequency
    • 3.4-4. Global CPE Shipments
    • 3.4-5. Global CPE Revenues
    • 3.4-8. Capacity Revenues Comparison with Previous Edition
    • 3.4-9. CPE Revenues Comparison with Previous Edition
    • 3.5.1-1. NAM In-Service Units
    • 3.5.1-2. NAM CPE Revenues
    • 3.5.1-3. NAM Capacity Demand
    • 3.5.1-4. NAM Capacity Revenues
    • 3.5.2-1. LAM In-Service Units
    • 3.5.2-2. LAM CPE Revenues
    • 3.5.2-3. LAM Capacity Demand
    • 3.5.2-4. LAM Capacity Revenues
    • 3.5.3-1. WEU In-Service Units
    • 3.5.3-2. WEU CPE Revenues
    • 3.5.3-3. WEU Capacity Demand
    • 3.5.3-4. WEU Capacity Revenues
    • 3.5.4-1. CEEU In-Service Units
    • 3.5.4-2. CEEU CPE Revenues
    • 3.5.4-3. CEEU Capacity Demand
    • 3.5.4-4. CEEU Capacity Revenues
    • 3.5.5-1. MENA In-Service Units
    • 3.5.5-2. MENA CPE Revenues
    • 3.5.5-3. MENA Capacity Demand
    • 3.5.5-4. MENA Capacity Revenues
    • 3.5.6-1. SSA In-Service Units
    • 3.5.6-2. SSA CPE Revenues
    • 3.5.6-3. SSA Capacity Demand
    • 3.5.6-4. SSA Capacity Revenues
    • 3.5.7-1. ASIA In-Service Units
    • 3.5.7-2. ASIA CPE Revenues
    • 3.5.7-3. ASIA Capacity Demand
    • 3.5.7-4. ASIA Capacity Revenues
    • 3.6-1. In-Service Units Comparison with Previous Edition
    • 3.6-2. Capacity Revenues Comparison with Previous Edition
    • 3.6-3. CPE Revenues Comparison with Previous Edition
  4. Hybrid Networks
    • 4.2-1. Global In-service Units
    • 4.2-2. Capacity Demand
    • 4.2-3. Capacity Revenues
    • 4.2-4. CPE Revenues
    • 4.4-1. Monthly Bandwidth Cost per Channel
    • 4.4-2. Satellite Multicast Crossover Analysis
    • 4.4-3. Crossover Server Location at which Satellite is more Cost Effective as Transit Cost Varies
    • 4.4-4. Crossover Server Locations at which Satellite is more Cost Effective as Bandwidth Varies
    • 4.4-5. Transit Bandwidth for which Satellite is more Cost Effective than Terrestrial Transit
    • 4.4-6. Global In-Service Units
    • 4.4-7. Capacity Demand
    • 4.4-8. Capacity Revenues
    • 4.4-9. CPE Revenues

WBS14 in the News

NSR Report: Smallcells a New Key to Unlocking $39 Billion in Satellite Backhaul Revenue

WBS14 The Bottom Line

Smallcells and Satellites: It’s a Match!

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