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TV networks Latin America
Market Intelligence Service
Region
The TV networks market intelligence service provides comprehensive datasets related to TV broadcasters’ economy and TV channels distribution and audience worldwide. The detailed revenues, audience and distribution figures made available allow the tracking of all major trends and shifts shaping the markets, while complementary forecasts help to understand the anticipated evolutions that will impact TV broadcasters and their channels’ strategies in the coming years.
This service provides a comprehensive coverage of TV networks revenues, TV channels distribution by genre and TV channels audience through a wide range of in-depth financial and operational metrics. Historical are provided for each metric in both dynamic dashboards and source table formats.
This annually updated comprehensive database includes advanced detailed figures, split by actor, country, channels and genre including:
TV networks revenues by actor – Data by country and broadcaster
- Net advertising revenues
- Public funding
- Pay TV networks affiliate revenues
- Yearly history from 2013
- Regions: Worldwide
TV networks revenues forecasts – Data by country
- Net advertising revenues
- Public funding
- Pay TV networks affiliate revenues
- Yearly history from 2006 with 5-year forecasts
- Regions: Worldwide
TV channels and packages distribution – Data by country and channel
- Europe and Middle East: total number of FTA households and pay TV subscribers by channel and package for the genres Kids (including Anime, Babies, Boys, Generalist, Mainstream, Middle Childhood, Preschool, Teens), Movies and fiction (including African, Arabic, Asian, Indian, Latinoamerican, Classic, Comedy/Family, Generalist, Independent, Live theater, Science fiction, Short series, Telenovelas, Thriller) and Sports (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)
- North America, Latin America and Sub-Saharan Africa: total number of FTA households and pay TV subscribers by channel and package for all genres including Generalist, Lifestyle, Music, News, Documentary
- Yearly history from 2019
- Regions: Europe, Latin America, North America, MEA
TV channels audience share – Data by country and channel
- Yearly share of TV audiences by channel
- Segmentation by genre: Lifestyle, Movies and fiction, Sport, Generalist, Kids, Documentary, Music, News
- Yearly history from 2014
- Regions: Europe, Latin America, North America
TV usage by age group – Data by country
- Yearly evolution of time spent in front of linear television by country
- Breakdown by age group
- Yearly history from 2014
- Regions: Worldwide
Any corporate subscription includes unlimited number of users and unlimited usage of the inquiry service – no hidden fees.
array(4) {
["TV Channels"]=>
array(3) {
["TV audience share"]=>
string(146) "TV audience share (Yearly) Average percentage of TV viewers tuned to a particular station"
["TV channel net advertising revenues"]=>
string(172) "TV channel net advertising revenues (Yearly) Total net advertising income of TV channels for the year under review."
["TV channel reach"]=>
string(228) "TV channel reach (Yearly) For Free-to-Air channels: number of households receiving the channel in its bouquet
For pay-TV channels: number of subscriptions to this channel."
}
["TV broadcasters"]=>
array(6) {
["Free-to-air net TV advertising revenues"]=>
string(186) "Free-to-air net TV advertising revenues (Yearly) Net advertising revenues received by a broadcaster for its free-to-air networks."
["Pay TV networks affiliate revenues"]=>
string(183) "Pay TV networks affiliate revenues (Yearly) Revenues generated by the distribution of Pay TV channels on operators' platforms."
["Pay TV networks net advertising revenues"]=>
string(182) "Pay TV networks net advertising revenues (Yearly) Net advertising revenues received by a broadcaster for its pay TV networks."
["TV public funding"]=>
string(151) "TV public funding (Yearly) Government funding or licence fee received by a public broadcaster."
["Total TV network revenues"]=>
string(210) "Total TV network revenues (Yearly) Total of public funding or licence fees, affiliate fees and advertising revenues earned by a TV network (broadcaster)."
["Total net TV advertising revenues"]=>
string(164) "Total net TV advertising revenues (Yearly) Total net advertising income of free-to-air and pay TV networks."
}
["xForecast"]=>
array(4) {
["Pay TV networks affiliate revenues"]=>
string(202) "Pay TV networks affiliate revenues Yearly revenues generated at the country level by the distribution of pay TV channels on operators' platforms."
["TV public funding"]=>
string(162) "TV public funding Total government funding or licence fee received by public broadcasters in the country."
["Total TV network revenues"]=>
string(146) "Total TV network revenues Total yearly net TV advertising revenues and TV public funding."
["Total net TV advertising revenues"]=>
string(156) "Total net TV advertising revenues Total net advertising revenue of free-to-air and pay TV networks."
}
["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."
}
}
TV Channels
TV broadcasters
Historical & Forecasts
Environmental Data
TV audience share (Yearly) Average percentage of TV viewers tuned to a particular station
TV channel net advertising revenues (Yearly) Total net advertising income of TV channels for the year under review.
TV channel reach (Yearly) For Free-to-Air channels: number of households receiving the channel in its bouquet
For pay-TV channels: number of subscriptions to this channel.
Free-to-air net TV advertising revenues (Yearly) Net advertising revenues received by a broadcaster for its free-to-air networks.
Pay TV networks affiliate revenues (Yearly) Revenues generated by the distribution of Pay TV channels on operators' platforms.
Pay TV networks net advertising revenues (Yearly) Net advertising revenues received by a broadcaster for its pay TV networks.
TV public funding (Yearly) Government funding or licence fee received by a public broadcaster.
Total TV network revenues (Yearly) Total of public funding or licence fees, affiliate fees and advertising revenues earned by a TV network (broadcaster).
Total net TV advertising revenues (Yearly) Total net advertising income of free-to-air and pay TV networks.
Pay TV networks affiliate revenues Yearly revenues generated at the country level by the distribution of pay TV channels on operators' platforms.
TV public funding Total government funding or licence fee received by public broadcasters in the country.
Total TV network revenues Total yearly net TV advertising revenues and TV public funding.
Total net TV advertising revenues Total net advertising revenue of free-to-air and pay TV networks.
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(160) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'TV networks' and region = 'Latin America' and market = ''"
TV networks
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TV networks
string(175) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'TV networks' and market = 'TV broadcasters' and region = 'Latin America'"
TV broadcasters
string(171) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'TV networks' and market = 'TV Channels' and region = 'Latin America'"
TV Channels
string(162) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'OTT and video' and region = 'Latin America' and market = ''"
OTT and video
string(412) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}OTT and video{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' ORDER BY module ASC, submodule ASC"
OTT and video
string(166) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'OTT and video' and market = 'AVOD' and region = 'Latin America'"
string(174) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'OTT and video' and market = 'OTT services' and region = 'Latin America'"
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'"
string(156) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Content' and region = 'Latin America' and market = ''"
Content
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Content
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Cinema
string(169) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Content' and market = 'Content spend' and region = 'Latin America'"
string(167) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Content' and market = 'Video Games' and region = 'Latin America'"
Video Games
string(177) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and region = 'Latin America' and market = ''"
Online media and advertising
string(427) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Online media and advertising{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' ORDER BY module ASC, submodule ASC"
Online media and advertising
string(190) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Adressable TV' and region = 'Latin America'"
string(188) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Advertising' and region = 'Latin America'"
Advertising
string(201) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Advertising expenditures' and region = 'Latin America'"
string(201) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Newspapers and Magazines' and region = 'Latin America'"
Newspapers and Magazines
string(183) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Online' and region = 'Latin America'"
Online
string(156) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Telecom' and region = 'Latin America' and market = ''"
Telecom
string(406) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Telecom{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' ORDER BY module ASC, submodule ASC"
Telecom
string(165) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Telecom' and market = 'Broadband' and region = 'Latin America'"
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(162) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Telecom' and market = 'Mobile' and region = 'Latin America'"
Mobile
string(154) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and region = 'Latin America' and market = ''"
Audio
string(404) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Audio{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' ORDER BY module ASC, submodule ASC"
Audio
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Music
string(162) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and market = 'Podcasts' and region = 'Latin America'"
string(159) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and market = 'Radio' and region = 'Latin America'"
Radio
string(166) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Connected devices' and region = 'Latin America' and market = ''"
Connected devices
string(416) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Connected devices{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' 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(161) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and region = 'Latin America' and market = ''"
Technologies
string(411) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Technologies{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' 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(183) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and market = 'Broadband technologies' and region = 'Latin America'"
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(164) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Infrastructures' and region = 'Latin America' and market = ''"
Infrastructures
string(414) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Infrastructures{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' 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(186) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Infrastructures' and market = 'Telecom infrastructure' and region = 'Latin America'"
Telecom infrastructure
string(155) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Sports' and region = 'Latin America' and market = ''"
Sports
string(405) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Sports{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' 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 '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Mobility{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' ORDER BY module ASC, submodule ASC"
Mobility
string(179) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Mobility' and market = 'In-flight connectivity' and region = 'Latin America'"
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 '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}Environmental Data{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' and submodule NOT LIKE '{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}|{335312b1e895a79cb9b7f707c6f1197fd2d82373bfefcf2827d8616b2350e339}' 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'"
Related Market Reports
Dataxis market reports provide the most comprehensive data set in terms of market sizes, revenue development and relevant companies within a total of more than 150 countries. We look into the future of TV, Telecom, Media and Digital industries providing the latest trends and tangible subscribers & revenue forecasts. In addition to detailed figures and graphs, it also features geographical comparison and competitive bench marking.
Latest Research
string(11) "tv-networks"
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