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Content Worldwide
Market Intelligence Service
The Content market intelligence service encompasses the full-scale media and entertainment industry, allowing an in-depth understanding of content offers deployed by broadcasters, pay TV operators, OTT video platforms and video games editors. From cinema box office to SVOD catalogues analysis and video game editors’ revenues, the service aims at covering the complete range of strategies implemented by content providers to entertain their audiences worldwide.
This service provides a comprehensive coverage of cinema box office, SVOD catalogue analysis (genres, producers, origin country, language…) and video games revenues 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:
Cinema box office – Data by country
- Admissions by country
- Revenues by country
- Average ticket price
- Yearly history from 2012
- Regions: Europe, Latin America, North America
Cinema box office analysis – NEW
- Box office by films’ origin
- New releases characteristics: origin, genre, production company, language, availability
- Yearly history from 2015
- Data by country
- Regions: Europe, Latin America, North America
Video games publishers revenues – Data by actor
- Console, Mobile, PC and multi-platform revenues by actor
- Yearly history from 2012
- Regions: Worldwide
Video game consoles installed base – Data by country and actor
- Installed base by console
- Market share by country and by game console
- Yearly figures from 2013
- Regions: Europe, Latin America, North America, APAC
Cloud gaming subscribers and revenues – Data by country and actor
- Subscription revenues
- Subscribers (including the breakdown between direct and B2B subscribers)
- Number of active users
- Regions: Worldwide
Any corporate subscription includes unlimited number of users and unlimited usage of the inquiry service – no hidden fees.
array(5) { ["Cinema"]=> array(4) { ["Admissions per capita"]=> string(158) "Admissions per capita Total number of yearly cinema admission in a country divided by its population." ["Average cinema ticket price"]=> string(135) "Average cinema ticket price Average retail value of cinema tickets by country." ["Box office revenues"]=> string(143) "Box office revenues Revenue generated by the sale of cinema tickets yearly by country." ["Cinema admissions"]=> string(129) "Cinema admissions Total number of cinema tickets sold yearly by country." } ["Content spend"]=> array(2) { ["TV programming costs"]=> string(248) "TV programming costs (Yearly) TV programming costs encompass TV operators'spending on the composition of their content offer, including costs of TV networks, production or rights acquisition." ["TV programming share of pay TV revenues"]=> string(304) "TV programming share of pay TV revenues (Yearly) TV programming share of total pay TV revenues, or programming costs-to-revenues ratio, represents the weight of TV content spending on the total revenues generated by the operator during the period." } ["Video Games"]=> array(11) { ["Cloud gaming active users"]=> string(251) "Cloud gaming active users (Quarterly) Number of unique active users to a free cloud gaming service. Does not take into account the paying subscribers to the premium plans when those plans exist." ["Cloud gaming direct subscription revenues"]=> string(320) "Cloud gaming direct subscription revenues (Quarterly) Revenues generated by cloud gaming providers from their subscription offers. Do not take into account indirect subscription revenues which might come from B2B partnerships with operators and third-party actors" ["Cloud gaming subscribers from B2B partnerships"]=> string(297) "Cloud gaming subscribers from B2B partnerships (Quarterly) Number of unique and active cloud gaming subscribers from B2B partnerships between cloud platforms and resellers such as pay TV operators, telecom companies, or device manufacturers" ["Console video game revenues"]=> string(163) "Console video game revenues (Yearly) Total video games publisher net income from console video games only." ["Direct cloud gaming subscribers"]=> string(315) "Direct cloud gaming subscribers (Quarterly) Unique active subscribers to a cloud gaming platform subscribing directly to the service. The figure does not take into account indirect subscriptions coming from partnerships with operators and third-party actors." ["Game consoles penetration "]=> string(141) "Game consoles penetration (Yearly) Game consoles in use as percentage of households" ["Mobile video game revenues"]=> string(161) "Mobile video game revenues (Yearly) Total video games publisher net income from mobile video games only." ["Multi-platform video game revenues"]=> string(189) "Multi-platform video game revenues (Yearly) Total video games publisher net income from video games available on multiple platforms." ["PC video game revenues"]=> string(153) "PC video game revenues (Yearly) Total video games publisher net income from PC video games only." ["Total cloud gaming subscribers"]=> string(342) "Total cloud gaming subscribers (Quarterly) Total unique active subscribers of a cloud gaming service by country and by cloud gaming provider. The figure takes into account all direct and indirect (from B2B partnerships with resellers) subscriptions to this service within each country." ["Video game revenues"]=> string(187) "Video game revenues (Yearly) Total video games publisher net income from all supports (PC, Console, Mobile, multi-platform) games." } ["xForecast"]=> array(5) { ["Admissions per capita"]=> string(158) "Admissions per capita Total number of yearly cinema admission in a country divided by its population." ["Average cinema ticket price"]=> string(135) "Average cinema ticket price Average retail value of cinema tickets by country." ["Box office revenues"]=> string(143) "Box office revenues Revenue generated by the sale of cinema tickets yearly by country." ["Cinema admissions"]=> string(129) "Cinema admissions Total number of cinema tickets sold yearly by country." ["Game console installed base"]=> string(160) "Game console installed base Total number of game consoles in use in a country for the model considered." } ["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." } }Cinema Content spend Video Games Historical & Forecasts Environmental Data

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TV distribution
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TV distribution
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string(156) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'TV networks' and region = 'Worldwide' 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(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(163) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Content' and market = 'Video Games' and region = 'Worldwide'"
Video Games
string(173) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and region = 'Worldwide' and market = ''"
Online media and advertising
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Online media and advertising
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string(184) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Advertising' and region = 'Worldwide'"
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(197) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Newspapers and Magazines' and region = 'Worldwide'"
Newspapers and Magazines
string(179) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Online media and advertising' and market = 'Online' and region = 'Worldwide'"
Online
string(152) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Telecom' and region = 'Worldwide' and market = ''"
Telecom
string(406) "SELECT DISTINCT(submodule) FROM `qttowunitary_posts` WHERE module LIKE '{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}Telecom{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}' and submodule NOT LIKE '{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}|{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}' ORDER BY module ASC, submodule ASC"
Telecom
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Broadband
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Mobile
string(150) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and region = 'Worldwide' and market = ''"
Audio
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Audio
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Music
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string(152) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Audio' and market = 'Radio' and region = 'Europe'"
Radio
string(162) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Connected devices' and region = 'Worldwide' and market = ''"
Connected devices
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Connected devices
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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(157) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and region = 'Worldwide' and market = ''"
Technologies
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Technologies
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string(179) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Technologies' and market = 'Broadband technologies' and region = 'Worldwide'"
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(160) "SELECT id FROM `qttowunitary_products` WHERE category = 'Market Intelligence Services' and industry = 'Infrastructures' and region = 'Worldwide' and market = ''"
Infrastructures
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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
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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 '{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}Mobility{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}' and submodule NOT LIKE '{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}|{b6f22ada1c650e646e100413616a24039566a12116f469ce7433e9cb3b85f7ba}' 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
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Environmental Data
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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'"
Latest Research
string(7) "content"
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