Sports Europe

Name: Sports - - Europe
SKU: c716dacf5108
Availability: InStock

Market Intelligence Service

Region

The Sports market intelligence service allows an in-depth understanding of sports broadcasting markets across Europe, North America and Latin America. Strategies deployed by broadcasters, pay TV operators and OTT video platforms in the sports industry are scrutinized to understand the power balance witnessed between actors. From premium sports distribution to sports broadcasting rights and sports leagues and teams revenues, the service aims at covering the complete range of strategies implemented by sports stakeholders to entertain their audiences worldwide.

This service provides a comprehensive coverage of premium sports distribution (TV packages, standalone OTT offers and mixed models) through a wide range of in-depth financial and operational metrics. Historical data are provided for each metric, in both dynamic dashboards and source table formats.

This quarterly and annually updated comprehensive database includes detailed figures split by operator or publisher and country including:

Sports TV channels and packages distribution – Data by country and channel

Total number of FTA households and pay TV subscribers by channel and package for Sports channels with details by subgenre: including American Football, Baseball, Basketball, Betting, College sport, Corridas, Cricket, e-Sports, Extreme, Fighting, Fitness, Football, Generalist, Golf, Hockey, Horse racing, Motors, Outdoors, Poker, Sports news, Tennis
Yearly history from 2019
Regions: Europe, Latin America, North America, MEA

Premium sports distribution analysis: TV packages, standalone OTT offers and mixed models

Premium sports package subscriber base, including direct and indirect distribution, and split between TV and OTT. Figures presented by operator, by package and by country
Premium sports package net revenues, by operator, by package and by country
Quarterly history from 2016
Regions: Western Europe, Latin America, North America

Sports broadcasting rights – Data by country and competition

Sports broadcasting rights value by competition (football and formula 1 competition)
Evolution of rights holders by country (operators, OTTs, broadcasters)
Yearly history from 2015
Regions: Europe, Latin America, North America

Sports teams and leagues revenues – Data by country and leagues/teams

Broadcasting revenues generated by teams and leagues
Evolution of market share and market structure
Sports covered: America Football, Baseball, Basketball, College Sport, Golf, Ice Hockey, Mixed Martial Arts, Motors, Professional wrestling, Tennis
Yearly history from 2018
Regions: Europe, Latin America, North America

Sports OTT tracker

OTT services deployed by sports teams and leagues
OTT platform provider for each service
Launch year
Service characteristics: Live broadcast, Premium competitions, Geographic availabitily, Business model
Yearly history from 2008
Data by country and actor
Regions: Europe, Latin America

Sports social media

Leagues and teams’ number of followers on social media
Social media covered: Facebook, Instagram, TikTok, Twitter, Youtube
Details by country
Yearly history from 2021
Data by country and actor
Regions: Europe, Latin America

Any corporate subscription includes unlimited number of users and unlimited usage of the inquiry service – no hidden fees.

array(3) {
  ["Sports distribution"]=>
  array(18) {
    ["OTT package retail ARPU"]=>
    string(268) "OTT package retail ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package OTT retail revenues for the quarter divided by the average number of subscribers, divided by three."
    ["OTT package retail revenues"]=>
    string(226) "OTT package retail revenues (Quarterly) Retail revenues generated by the premium sports package through the distribution of its package in direct-to-consumer OTT offers."
    ["OTT package subscribers"]=>
    string(168) "OTT package subscribers (Quarterly) Number of subscribers to the direct-to-consumer OTT premium sports package."
    ["Package net ARPU"]=>
    string(260) "Package net ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package affiliate revenues for the quarter divided by the average number of subscribers, divided by three."
    ["Package net revenues"]=>
    string(246) "Package net revenues (Quarterly) Total affiliate revenues generated by the premium sports package editor through the distribution of its package in pay TV and direct-to-consumer OTT offers."
    ["Package retail ARPU"]=>
    string(260) "Package retail ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package retail revenues for the quarter divided by the average number of subscribers, divided by three."
    ["Package retail revenues"]=>
    string(239) "Package retail revenues (Quarterly) Total retail revenues generated by the premium sports package through the distribution of its package in pay TV and direct-to-consumer OTT offers."
    ["Share of OTT D2C in sports package retail revenues"]=>
    string(205) "Share of OTT D2C in sports package retail revenues (Quarterly) Share of total sports package revenues generated through its direct OTT distribution."
    ["Share of pay TV in sports package retail revenues"]=>
    string(200) "Share of pay TV in sports package retail revenues (Quarterly) Share of total sports package revenues generated through its pay TV distribution."
    ["Share of sports package net revenues in country pay TV revenues"]=>
    string(278) "Share of sports package net revenues in country pay TV revenues (Quarterly) Ratio of affiliate revenues generated by the sports package in the total pay TV revenues generated in the country during the period under review."
    ["Share of sports package net revenues in operator pay TV revenues"]=>
    string(281) "Share of sports package net revenues in operator pay TV revenues (Quarterly) Ratio of sports package affiliate revenues in the total pay TV revenues generated by the operator editing the package, in the country under review."
    ["Sports package penetration of total TV households"]=>
    string(294) "Sports package penetration of total TV households (Quarterly) Ratio of total subscribers allocated to the sports package under review in the total number of TV households in the country. Both direct and indirect subscribers are included."
    ["Sports package penetration of total operator subscribers"]=>
    string(356) "Sports package penetration of total operator subscribers (Quarterly) Ratio of total subscribers allocated to the sports package under review in the total number of pay TV subscribers of the operator editing the package, in the country of operation. Both direct and indirect subscribers are included."
    ["Sports package penetration of total pay TV subscribers"]=>
    string(304) "Sports package penetration of total pay TV subscribers (Quarterly) Ratio of total subscribers allocated to the sports package under review in the total number of pay TV subscribers in the country. Both direct and indirect subscribers are included."
    ["TV package retail ARPU"]=>
    string(270) "TV package retail ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package pay TV retail revenues for the quarter divided by the average number of subscribers, divided by three."
    ["TV package retail revenues"]=>
    string(209) "TV package retail revenues (Quarterly) Retail revenues generated by the premium sports package through the distribution of its package in pay TV offers."
    ["TV package subscribers"]=>
    string(203) "TV package subscribers (Quarterly) Number of pay TV subscribers receiving the premium sports package, including direct and indirect subscriptions."
    ["Total package subscribers"]=>
    string(202) "Total package subscribers (Quarterly) Total number of subscribers receiving the premium sports package through traditional pay TV as well as OTT."
  }
  ["Sports leagues and teams"]=>
  array(9) {
    ["Broadcasting revenues"]=>
    string(243) "Broadcasting revenues (Yearly) Revenues derived from fees that broadcast partners or rights agencies directly pay to the leagues (or to clubs selling their rights on an individual basis)"
    ["Facebook followers"]=>
    string(157) "Facebook followers (Yearly) Number of followers of the league or teamÂ´s official Facebook account"
    ["Instagram followers"]=>
    string(159) "Instagram followers (Yearly) Number of followers of the league or teamÂ´s official Instagram account"
    ["Leagues/teams yearly revenues"]=>
    string(216) "Leagues/teams yearly revenues (Yearly) Total revenues generated by sports leagues or teams, including broadcasting rights revenues, sponsoring, ticketing, etc."
    ["Share of broadcasting revenues"]=>
    string(155) "Share of broadcasting revenues (Yearly) Share of total revenues generated by broadcasting revenues"
    ["Sports leagues other revenues"]=>
    string(186) "Sports leagues other revenues (Yearly) Other revenues generated by sports leagues (mainly donations, grants and one-off revenues)"
    ["TikTok followers"]=>
    string(153) "TikTok followers (Yearly) Number of followers of the league or teamÂ´s official TikTok account"
    ["Twitter followers"]=>
    string(155) "Twitter followers (Yearly) Number of followers of the league or teamÂ´s official Twitter account"
    ["YouTube subscribers"]=>
    string(158) "YouTube subscribers (Yearly) Number of subsribers to the league or teamÂ´s official YouTube account"
  }
  ["yEnvironmental Data"]=>
  array(28) {
    ["Age group 0 to 4"]=>
    string(123) "Age group 0 to 4 (Forecast) Number of people between 0 and 4 years"
    ["Age group 10 to 14"]=>
    string(127) "Age group 10 to 14 (Forecast) Number of people between 10 and 14 years"
    ["Age group 15 to 19"]=>
    string(127) "Age group 15 to 19 (Forecast) Number of people between 15 and 19 years"
    ["Age group 20 to 24"]=>
    string(127) "Age group 20 to 24 (Forecast) Number of people between 20 and 24 years"
    ["Age group 25 to 29"]=>
    string(127) "Age group 25 to 29 (Forecast) Number of people between 25 and 30 years"
    ["Age group 30 to 34"]=>
    string(127) "Age group 30 to 34 (Forecast) Number of people between 30 and 34 years"
    ["Age group 35 to 39"]=>
    string(127) "Age group 35 to 39 (Forecast) Number of people between 35 and 39 years"
    ["Age group 40 to 44"]=>
    string(127) "Age group 40 to 44 (Forecast) Number of people between 40 and 44 years"
    ["Age group 45 to 49"]=>
    string(127) "Age group 45 to 49 (Forecast) Number of people between 45 and 49 years"
    ["Age group 5 to 9"]=>
    string(123) "Age group 5 to 9 (Forecast) Number of people between 5 and 9 years"
    ["Age group 50 to 54"]=>
    string(127) "Age group 50 to 54 (Forecast) Number of people between 50 and 54 years"
    ["Age group 55 to 59"]=>
    string(127) "Age group 55 to 59 (Forecast) Number of people between 55 and 59 years"
    ["Age group 60 to 64"]=>
    string(127) "Age group 60 to 64 (Forecast) Number of people between 60 and 64 years"
    ["Age group 65 to 69"]=>
    string(127) "Age group 65 to 69 (Forecast) Number of people between 65 and 69 years"
    ["Age group 70 to 74"]=>
    string(127) "Age group 70 to 74 (Forecast) Number of people between 70 and 74 years"
    ["Age group 75 to 79"]=>
    string(127) "Age group 75 to 79 (Forecast) Number of people between 75 and 79 years"
    ["Age group 80 and more"]=>
    string(128) "Age group 80 and more (Forecast) Number of 80 years old people and more"
    ["Average households size"]=>
    string(118) "Average households size (Forecast) Average size of households"
    ["Number of households"]=>
    string(109) "Number of households (Forecast) Number of Households"
    ["Population"]=>
    string(100) "Population (Forecast) Number of inhabitants"
    ["Population density"]=>
    string(131) "Population density (Forecast) Population divided by surface of the country"
    ["Surface area"]=>
    string(125) "Surface area (Forecast) Surface of the country in square kilometers."
    ["Access to electricity"]=>
    string(142) "Access to electricity (Forecast) Share of households that have access to electricity."
    ["Number of electrified households"]=>
    string(148) "Number of electrified households (Forecast) Nomber of households with access to electricity"
    ["TV household penetration"]=>
    string(134) "TV household penetration (Forecast) Percentage of households owning a TV set."
    ["TV households"]=>
    string(173) "TV households (Forecast) Number of households owning a TV set connected to broadcast or to broadband only reception."
    ["GDP"]=>
    string(310) "GDP (Yearly) The Gross domestic product (GDP) measures the value added created through the production of goods and services. It accounts for the total income earned in a country during a certain period. The data displayed is sourced from the World Bank."
    ["GDP per capita"]=>
    string(301) "GDP per capita (Yearly) The GDP per capita is a metric that breaks down a country GDP per citizen. It is calculated by dividing the country total gross domestic product by its total population. The data displayed is sourced from the World Bank."
  }
}

OTT package retail ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package OTT retail revenues for the quarter divided by the average number of subscribers, divided by three. OTT package retail revenues (Quarterly) Retail revenues generated by the premium sports package through the distribution of its package in direct-to-consumer OTT offers. OTT package subscribers (Quarterly) Number of subscribers to the direct-to-consumer OTT premium sports package. Package net ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package affiliate revenues for the quarter divided by the average number of subscribers, divided by three. Package net revenues (Quarterly) Total affiliate revenues generated by the premium sports package editor through the distribution of its package in pay TV and direct-to-consumer OTT offers. Package retail ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package retail revenues for the quarter divided by the average number of subscribers, divided by three. Package retail revenues (Quarterly) Total retail revenues generated by the premium sports package through the distribution of its package in pay TV and direct-to-consumer OTT offers. Share of OTT D2C in sports package retail revenues (Quarterly) Share of total sports package revenues generated through its direct OTT distribution. Share of pay TV in sports package retail revenues (Quarterly) Share of total sports package revenues generated through its pay TV distribution. Share of sports package net revenues in country pay TV revenues (Quarterly) Ratio of affiliate revenues generated by the sports package in the total pay TV revenues generated in the country during the period under review. Share of sports package net revenues in operator pay TV revenues (Quarterly) Ratio of sports package affiliate revenues in the total pay TV revenues generated by the operator editing the package, in the country under review. Sports package penetration of total TV households (Quarterly) Ratio of total subscribers allocated to the sports package under review in the total number of TV households in the country. Both direct and indirect subscribers are included. Sports package penetration of total operator subscribers (Quarterly) Ratio of total subscribers allocated to the sports package under review in the total number of pay TV subscribers of the operator editing the package, in the country of operation. Both direct and indirect subscribers are included. Sports package penetration of total pay TV subscribers (Quarterly) Ratio of total subscribers allocated to the sports package under review in the total number of pay TV subscribers in the country. Both direct and indirect subscribers are included. TV package retail ARPU (Quarterly) The Average monthly Revenue Per User (ARPU) is calculated using the package pay TV retail revenues for the quarter divided by the average number of subscribers, divided by three. TV package retail revenues (Quarterly) Retail revenues generated by the premium sports package through the distribution of its package in pay TV offers. TV package subscribers (Quarterly) Number of pay TV subscribers receiving the premium sports package, including direct and indirect subscriptions. Total package subscribers (Quarterly) Total number of subscribers receiving the premium sports package through traditional pay TV as well as OTT.

Broadcasting revenues (Yearly) Revenues derived from fees that broadcast partners or rights agencies directly pay to the leagues (or to clubs selling their rights on an individual basis) Facebook followers (Yearly) Number of followers of the league or teamÂ´s official Facebook account Instagram followers (Yearly) Number of followers of the league or teamÂ´s official Instagram account Leagues/teams yearly revenues (Yearly) Total revenues generated by sports leagues or teams, including broadcasting rights revenues, sponsoring, ticketing, etc. Share of broadcasting revenues (Yearly) Share of total revenues generated by broadcasting revenues Sports leagues other revenues (Yearly) Other revenues generated by sports leagues (mainly donations, grants and one-off revenues) TikTok followers (Yearly) Number of followers of the league or teamÂ´s official TikTok account Twitter followers (Yearly) Number of followers of the league or teamÂ´s official Twitter account YouTube subscribers (Yearly) Number of subsribers to the league or teamÂ´s official YouTube account

Age group 0 to 4 (Forecast) Number of people between 0 and 4 years Age group 10 to 14 (Forecast) Number of people between 10 and 14 years Age group 15 to 19 (Forecast) Number of people between 15 and 19 years Age group 20 to 24 (Forecast) Number of people between 20 and 24 years Age group 25 to 29 (Forecast) Number of people between 25 and 30 years Age group 30 to 34 (Forecast) Number of people between 30 and 34 years Age group 35 to 39 (Forecast) Number of people between 35 and 39 years Age group 40 to 44 (Forecast) Number of people between 40 and 44 years Age group 45 to 49 (Forecast) Number of people between 45 and 49 years Age group 5 to 9 (Forecast) Number of people between 5 and 9 years Age group 50 to 54 (Forecast) Number of people between 50 and 54 years Age group 55 to 59 (Forecast) Number of people between 55 and 59 years Age group 60 to 64 (Forecast) Number of people between 60 and 64 years Age group 65 to 69 (Forecast) Number of people between 65 and 69 years Age group 70 to 74 (Forecast) Number of people between 70 and 74 years Age group 75 to 79 (Forecast) Number of people between 75 and 79 years Age group 80 and more (Forecast) Number of 80 years old people and more Average households size (Forecast) Average size of households Number of households (Forecast) Number of Households Population (Forecast) Number of inhabitants Population density (Forecast) Population divided by surface of the country Surface area (Forecast) Surface of the country in square kilometers. Access to electricity (Forecast) Share of households that have access to electricity. Number of electrified households (Forecast) Nomber of households with access to electricity TV household penetration (Forecast) Percentage of households owning a TV set. TV households (Forecast) Number of households owning a TV set connected to broadcast or to broadband only reception. GDP (Yearly) The Gross domestic product (GDP) measures the value added created through the production of goods and services. It accounts for the total income earned in a country during a certain period. The data displayed is sourced from the World Bank. GDP per capita (Yearly) The GDP per capita is a metric that breaks down a country GDP per citizen. It is calculated by dividing the country total gross domestic product by its total population. The data displayed is sourced from the World Bank.

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TV distribution

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TV distribution

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string(178) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'TV distribution' and market = 'Pay and FTA TV' and region = 'Latin America'"

string(153) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'TV networks' and region = 'Europe' and market = ''"

TV networks

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TV networks

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TV broadcasters

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TV Channels

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OTT and video

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OTT and video

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string(189) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'OTT and video' and market = 'SVOD and Streaming Services' and region = 'Latin America'"

string(174) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'OTT and video' and market = 'TVOD and EST' and region = 'Latin America'"

string(177) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'OTT and video' and market = 'Video forecasts' and region = 'Latin America'"

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Content

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Content

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Cinema

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string(160) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Content' and market = 'Video Games' and region = 'Europe'"

Video Games

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Online media and advertising

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Online media and advertising

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string(181) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Advertising' and region = 'Europe'"

Advertising

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string(194) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Newspapers and Magazines' and region = 'Europe'"

Newspapers and Magazines

string(176) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Online' and region = 'Europe'"

Online

string(149) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Telecom' and region = 'Europe' and market = ''"

Telecom

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Telecom

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Broadband

string(171) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Telecom' and market = 'Cloud computing' and region = 'Latin America'"

string(155) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Telecom' and market = 'Mobile' and region = 'Europe'"

Mobile

string(147) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and region = 'Europe' and market = ''"

Audio

string(404) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}Audio{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' and submodule NOT LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}|{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' ORDER BY module ASC, submodule ASC"

Audio

string(152) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and market = 'Music' and region = 'Europe'"

Music

string(162) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and market = 'Podcasts' and region = 'Latin America'"

string(152) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and market = 'Radio' and region = 'Europe'"

Radio

string(159) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Connected devices' and region = 'Europe' and market = ''"

Connected devices

string(416) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}Connected devices{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' and submodule NOT LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}|{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' ORDER BY module ASC, submodule ASC"

Connected devices

string(188) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Connected devices' and market = 'Devices installed base' and region = 'Latin America'"

string(179) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Connected devices' and market = 'Devices sales' and region = 'Latin America'"

string(180) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Connected devices' and market = 'Retail devices' and region = 'Latin America'"

string(154) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and region = 'Europe' and market = ''"

Technologies

string(411) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}Technologies{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' and submodule NOT LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}|{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' ORDER BY module ASC, submodule ASC"

Technologies

string(174) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and market = 'Advanced STBs' and region = 'Latin America'"

string(176) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and market = 'Broadband technologies' and region = 'Europe'"

Broadband technologies

string(181) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and market = 'Technology suppliers' and region = 'Latin America'"

string(188) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and market = 'Terrestrial TV technologies' and region = 'Latin America'"

string(157) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Infrastructures' and region = 'Europe' and market = ''"

Infrastructures

string(414) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}Infrastructures{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' and submodule NOT LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}|{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' ORDER BY module ASC, submodule ASC"

Infrastructures

string(184) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Infrastructures' and market = 'Satellite infrastructure' and region = 'Worldwide'"

Satellite infrastructure

string(179) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Infrastructures' and market = 'Telecom infrastructure' and region = 'Europe'"

Telecom infrastructure

string(148) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Sports' and region = 'Europe' and market = ''"

Sports

string(405) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}Sports{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' and submodule NOT LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}|{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' ORDER BY module ASC, submodule ASC"

Sports

string(174) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Sports' and market = 'Sports distribution' and region = 'Latin America'"

string(179) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Sports' and market = 'Sports leagues and teams' and region = 'Latin America'"

string(157) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Mobility' and region = 'Latin America' and market = ''"

Mobility

string(407) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}Mobility{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' and submodule NOT LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}|{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' ORDER BY module ASC, submodule ASC"

Mobility

string(172) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Mobility' and market = 'In-flight connectivity' and region = 'Europe'"

In-flight connectivity

string(167) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Environmental Data' and region = 'Latin America' and market = ''"

Environmental Data

string(417) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}Environmental Data{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' and submodule NOT LIKE '{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}|{7fa73b17430c0b81213e4d6da8491f6cdae4333efb8c60dfb88b5792f4d430b2}' ORDER BY module ASC, submodule ASC"

Environmental Data

string(183) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Environmental Data' and market = 'Demographic Data' and region = 'Latin America'"

string(183) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Environmental Data' and market = 'Development data' and region = 'Latin America'"

string(180) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Environmental Data' and market = 'Economic data' and region = 'Latin America'"

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string(6) "sports"

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