Data on the global television market showed that there were an estimated 1.72 billion TV households worldwide in 2021. According to the source, this figure will continue to grow and surpass 1.8 billion by 2026.
How are viewers receiving their television content?
A more detailed look at television consumption by platform reveals that free-to-air digital terrestrial TV (FTA DTT) remains the most popular television distribution model worldwide. In addition to that, the latest reports also estimate that the number of IPTV households will exceed digital cable TV households for the first time in 2026. IPTV stands for internet protocol television and describes a new technology that delivers video content via the internet instead of traditional satellite or cable connections.
Spotlight on the United States
The number of TV households in the United States has been growing for decades. And yet, the U.S. pay TV penetration rate keeps dropping every year, mainly due to the ever-increasing accessibility and popularity of online video streaming options. Audiences no longer want to be tied to fixed broadcasting schedules, which is why many viewers are cutting the cord and canceling their pay TV bundles in favor of on-demand video content that can be watched whenever, wherever, and on whichever devices they want.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Dataset about products, specifications and ratings of various TV brands
According to estimates, there were 125 million TV homes in the United States for the 2023-2024 TV season. Whilst the number of TV households continues to grow, pay TV is becoming less popular – the pay TV penetration rate in the U.S. was pegged at 64 percent in 2023, marking a drop of over 10 percentage points in just five years. The changing TV landscape The trend of consumers (especially younger generations) cutting the cord and instead moving online to streaming services has meant that many pay TV providers have struggled to keep afloat. In spite of this, television statistics show that watching terrestrial TV is still a popular media activity among U.S. consumers. Television has been a popular pastime for so long that it seems impossible the medium could ever die out – but its traditional form is certainly changing. The advent of 3D and smart TV technology, as well as connected TV devices, mean that the ways in which we watch television are changing all the time. User demographics A key factor when considering television consumption in the United States is how a consumer’s age affects their viewing habits and preferences. As of 2022, the average daily time spent watching TV among adults aged 75 years and older amounted to nearly five hours. 20 to 24-year-olds spent just around two hours per day consuming TV content. Moreover, the share of cable TV subscribers was higher among older adults, with half of consumers aged 65 years and older subscribing to a cable TV service, compared to 34 percent of 18 to 34-year-olds at the beginning of 2023.
When asked about "Most common TV features", most U.S. respondents pick "Smart TV" as an answer. 80 percent did so in our online survey in 2023.Find this and more survey data on most common TV features in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.
https://www.icpsr.umich.edu/web/ICPSR/studies/22720/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/22720/terms
This study catalogs the introduction of television to media markets in the United States. The file titled, "TV Station Diffusion by DMA, 1946-1960," lists the name and the start date of the first commercial television station in each Nielsen media market (DMA) in the United States. This dataset uses the 2002/2003 definitions of Nielsen media markets. The file titled, "TV Set Diffusion by United States County, 1950-1960," lists by county the number of households that own television sets for the years 1950 and 1953-1960. This study also includes a file titled, "Crosswalk -- County to DMA," that matches each county to its respective DMA(s).
The global number of TV viewers in the 'TV Viewers' segment of the media market was forecast to continuously increase between 2024 and 2029 by in total 0.2 billion users (+3.8 percent). After the ninth consecutive increasing year, the indicator is estimated to reach 5.5 billion users and therefore a new peak in 2029. Notably, the number of TV viewers of the 'TV Viewers' segment of the media market was continuously increasing over the past years.Find more information concerning Benelux and Russia. The Statista Market Insights cover a broad range of additional markets.
In 2019, the traditional television revenue worldwide amounted to 243 billion U.S. dollars. After a decline in 2020, the market seems to recover again and is expected to slowly increase, reaching a value of 231 billion dollars.
Raw dataset obtained from UCI Machine Learning repository: https://archive.ics.uci.edu/ml/datasets/TV+News+Channel+Commercial+Detection+Dataset
The raw dataset consisted of key-value pairs in text format. They are cleaned up to CSV format in this dataset. The process is explained here: https://github.com/kramea/tv_commercial_data_cleaning
Automatic identification of commercial blocks in news videos finds a lot of applications in the domain of television broadcast analysis and monitoring. Commercials occupy almost 40-60% of total air time. Manual segmentation of commercials from thousands of TV news channels is time consuming, and economically infeasible hence prompts the need for machine learning based Method. Classifying TV News commercials is a semantic video classification problem. TV News commercials on particular news channel are combinations of video shots uniquely characterized by audio-visual presentation. Hence various audio visual features extracted from video shots are widely used for TV commercial classification. Indian News channels do not follow any particular news presentation format, have large variability and dynamic nature presenting a challenging machine learning problem. Features from 150 Hours of broadcast news videos from 5 different ( 3 Indian and 2 International News channels) news channels. Viz. CNNIBN, NDTV 24X7, TIMESNOW, BBC and CNN are presented in this dataset. Videos are recorded at resolution of 720 X 576 at 25 fps using a DVR and set top box. 3 Indian channels are recorded concurrently while 2 International are recorded together. Feature file preserves the order of occurrence of shots.
Video shots are used as unit for generating instances. Broadcast News videos are segmented into video shots using RGB Colour Histogram matching Between consecutive video frames. From each video shot we have extracted 7 Audio ( viz. Short term energy, zero crossing rate, Spectral Centroid, spectral Flux, spectral Roll off frequency, fundamental frequency and MFCC Bag of Audio Words) and 5 visual Features ( viz. Video shot length, Screen Text Distribution, Motion Distribution, Frame Difference Distribution, Edge Change Ratio) from each video shot. Details of each extracted feature are as follows.
In general to attract viewer's attention TV commercials have higher audio amplitude, appropriate background music ( comparatively higher frequencies) as well as sharp transitions from one music to other or music to speech etc. We try to capture these properties by using low level audio features -- Short Time Energy (STE) , Zero Crossing Rate (ZCR), Spectral Centroid, Spectral Flux, Spectral Roll-Off Frequency and Fundamental Frequency. All of these short term audio features are calculated with audio frame size of 20 msec at 8000Hz sampling Frequency. The Mean and standard deviation of all audio feature values are calculated over the shot, generating a 2D vector for each feature.
The MFCC Bag of Audio Words have been successfully used in several existing speech/audio processing applications. This motivated us to compute the MFCC coefficients along with Delta and Delta-Delta Cepstrum from 150 hours of audio tracks. These coefficients are clustered into 4000 groups which form the Audio words. Each shot is then represented as a 4000 Dimensional Bag of Audio Words by forming the normalized histograms of the MFCC's extracted from 20 ms windows with overlap of 10 ms in the shots.
Commercial video shots are usually short in length, fast visual transitions with peculiar placement of overlaid text bands. Video Shot Length is directly used as one of the feature. Placement of overlaid text bands is represented by 15 dimensional overlaid Text Distribution. To calculate Text Distribution feature, video frame is divided into a grid of size 5 X 3( 15 grid blocks). The text distribution feature is obtained by averaging the fraction of text area present in a grid block over all frames of the shot. Motion Distribution, Frame Change Distribution and Edge Change Ratio captures the dynamic nature of the commercial shots. Motion Distribution is obtained by first computing dense optical flow (Horn-Schunk formulation) followed by construction of a distribution of flow magnitudes over the entire shot with 40 uniformly divided bins in range of [0, 40]. Sudden changes in pixel intensities are grasped by Frame Difference Distribution. Such changes are not registered by optical flow. Thus, Frame Difference Distribution is also computed along with flow magnitude distributions. We obtain the frame difference by averaging absolute frame difference in each of 3 color channels and the distribution is constructed with 32 bins in the range of [0, 255] . Edge Change Ratio Captures the motion of edges between consecutive frames and is defined as ratio of displaced edge pixels to the total number of edge pixels in a frame. We calculate the mean and variance of the ECR over the entire shot.
The Feature File is represented in Lib SVM data format and contains approximetly 63% commercial instances( Positives). Dimension index for different Features are as follows:
Dimension Index | Feature Detail |
---|---|
1 | Shot Length |
2-3 | Motion Distribution( Mean and Variance) |
4-5 | Frame Difference Distribution ( Mean and Variance) |
6-7 | Short time energy ( Mean and Variance) |
8-9 | ZCR( Mean and Variance) |
10-11 | Spectral Centroid ( Mean and Variance) |
12-13 | Spectral Roll off ( Mean and Variance) |
14-15 | Spectral Flux ( Mean and Variance) |
16-17 | Fundamental Frequency ( Mean and Variance) |
18-58 | Motion Distribution ( 40 bins) |
59-91 | Frame Difference Distribution ( 32 bins) |
92-122 | Text area distribution ( 15 bins Mean and 15 bins for variance ) |
123-4123 | Bag of Audio Words ( 4000 bins) |
4124-4125 | Bag of Audio Words ( 4000 bins) |
Label | +1/-1 ( Commercials/Non Commercials) |
Certified models meet all ENERGY STAR requirements as listed in the Version 9.0 ENERGY STAR Program Requirements for Televisions that are effective as of October 20, 2022. A detailed listing of key efficiency criteria are available at https://www.energystar.gov/products/electronics/televisions/key_product_criteria.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Imports of Tv S, Vcr S, Etc. (4) Sitc in the United States decreased to 11576 USD Million in February from 12846 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Tv S, Vcr S, Etc. (4) Sitc.
https://www.databridgemarketresearch.com/privacy-policyhttps://www.databridgemarketresearch.com/privacy-policy
Report Metric |
Details |
Forecast Period |
2024 to 2031 |
Base Year |
2023 |
Historic Years |
2022 (Customizable to 2016-2021) |
Quantitative Units |
Revenue in USD Billion |
Segments Covered |
Offering (Software and Services), Analytics Type (Backend TV Analytics, Frontend TV Analytics, and Others), TV Transmission (OTT, Satellite TV/DTH, Cable TV, and IPTV), Tool Interface (Web Based and Application Based), Deployment Mode (Cloud and On-Premises), Revenue Model (Yearly Subscription and Monthly Subscription), Content Area (Entertainment, Sports, Political, Social, Wildlife, and Others), Application (Content Identification & Tracking, Competitive Intelligence, Audience Management & Forecasting, Churn Prevention & Behavior Analysis, Customer Lifetime Management, Sponsorship Management, Campaign Performance Monitoring, and Others) |
Countries Covered |
U.S., Canada, Mexico, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Sweden, Denmark, Poland, Norway, Finland, Turkey, rest of Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, New Zealand, Taiwan, Vietnam, rest of Asia-Pacific, Saudi Arabia, U.A.E., South Africa, Egypt, Israel, Qatar, Bahrain, Kuwait, Oman, rest of Middle East and Africa, Brazil, Argentina and rest of South America |
Market Players Covered |
TransUnion LLC., Realytics, Clarivoy, Zapr, Alphonso Inc., tvbeat inc., DCMN, FISCOWL, LLC, Nexxen International Ltd., FOURTHWALL, Parrot Analytics Limited, Innovid, CS Consult & Service, iSpot.tv, Inc., Google, Samba TV, Inc., Viaccess, BrightLine Partners, LLC, Kinetiq, Comscore, Inc., and Conviva, among others |
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table contains 84 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Viewer demographic characteristics (3 items: Total, all persons two years and older;Anglophones, two years and older;Francophones, two years and older), Signal source (7 items: Total, signal sources;Canadian conventional stations;Canadian pay television and specialty services;Videocassette recorder (VCR); ...), Content of programme (4 items: Total television programmes, Canadian, foreign and unknown origin;Canadian television programmes;Foreign television programmes;Unknown origin of television programmes)
Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
License information was derived automatically
Durée d'écoute quotidienne de la télévision, Parts d'audience des chaînes de télévision, Les 50 meilleures audiences de la télévision par genre
https://www.emergenresearch.com/purpose-of-privacy-policyhttps://www.emergenresearch.com/purpose-of-privacy-policy
The cloud TV market size reached USD 2.03 Billion in 2020 and is expected to reach USD 4.60 Billion by 2028 and register a CAGR of 10.8%. Cloud Television industry report classifies global market by share, trend, and on the basis of cloud type, service, streaming, end-use, and region
https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice
The UHD TV market share is expected to increase by USD 313.44 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 22.35%.
This UHD TV market research report provides valuable insights on the post-COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers UHD TV market segmentations by display type (LED, QLED, and OLED), screen size (50-59 inches screen size, 60-69 inches screen size, 40-49 inches screen size, and 70 inches and above screen size), type (4K and 8K), and geography (APAC, North America, Europe, Middle East and Africa, and South America). The UHD TV market report also offers information on several market vendors, including Apple Inc., BBK Electronics Corp Ltd, Haier Smart Home Co. Ltd., Hisense International, Intex Technologies, Koninklijke Philips NV, LG Corp., Micromax Informatics Ltd, MIRC Electronics Ltd., Panasonic Holdings Corp., Samsung Electronics Co. Ltd., Sharp Corp., Sichuan Changhong Electric Co Ltd, Sony Group Corp., TCL Electronics Holdings Ltd, Toshiba Corp., VIZIO Holding Corp. Inc., Vu Televisions, Xiaomi Inc, and Dynavision Ltd among others.
What will the UHD TV Market Size be During the Forecast Period?
Download Report Sample to Unlock the UHD TV Market Size for the Forecast Period and Other Important Statistics
UHD TV Market: Key Drivers, Trends, and Challenges
The demand for UHD TVs is notably driving the UHD TV market growth, although factors such as the lack of 4k content may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the UHD TV industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key UHD TV Market Driver
The demand for UHD TVs is one of the key drivers supporting the ultra HD television (UHD TV) market growth. More films and even television shows are made in the 4K format. Furthermore, UHD TVs are used as default platforms for gaming hardware. Moreover, the increasing demand for video games has further supplemented the growth of television sets. For instance, in Singapore, the expenditure on video games overtook consumers' expenditure on TVs, including television subscriptions, set-top boxes, and video-on-demand, in 2021. Therefore, the release of new gaming consoles with UHD compatibility is expected to drive the demand for TVs during the forecast period.
Key UHD TV Market Trend
The advent of 8K UHD TVs is one of the key ultra HD television (UHD TV) market trends contributing to the market growth. The 8K TVs that were displayed at the CES show were proof-of-concepts of the higher resolution. The market witnessed an increase in the adoption of consumer-grade 8K TVs by the end of 2021. Some of the key vendors in the market, such as LG, Samsung, and Sony, have introduced the 8K TV series. For instance, In July 2022, Samsung Electronics Co. Ltd. launched its 65 Class QN900B Samsung Neo QLED 8K Smart TV. Vendors will expedite the production of consumer-grade 8K TVs in the upcoming years. In addition, with the development of 8K-compatible content, 8K TVs are expected to gain popularity during the forecast period.
Key UHD TV Market Challenge
The lack of 4K content is one of the factors hampering the ultra HD television (UHD TV) market growth. The principal issues associated with 4K and 8K resolutions are in-home capabilities and content distribution. Several 4K UHD device owners do not have access to such content as broadcasters are yet to create 4K content. This gap is mainly because of the high capital outlay for the contribution and distribution of 4K UHD. Therefore, operators may not receive any incentives to reduce the replacement lifecycle to provide a 4K UHD set-top box (STB) to consumers. The gap between the demand for UHD TVs and the supply of content will hinder the growth of the market during the forecast period.
This UHD TV market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.
Parent Market Analysis
Technavio categorizes the global Ultra HD television market as a part of the global consumer electronics market. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the UHD TV market during the forecast period.
Who are the Major UHD TV Market Vendors?
The report analyzes the market’s competitive landscape and offers information on several market vendors, including:
Apple Inc.
BBK Electronics Corp Ltd
Haier Smart Home C
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about United States Exports: Television
Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
License information was derived automatically
Tableau récapitulant l'ensemble des canaux de radiodiffusion de télévision numérique terrestre des différents plans de fréquences mis en service en France.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Exports of Tv S, Vcr S, Etc. in the United States decreased to 1569 USD Million in February from 1806 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Tv S, Vcr S, Etc..
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about United States Imports: Television
Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
License information was derived automatically
Données statistiques
Data on the global television market showed that there were an estimated 1.72 billion TV households worldwide in 2021. According to the source, this figure will continue to grow and surpass 1.8 billion by 2026.
How are viewers receiving their television content?
A more detailed look at television consumption by platform reveals that free-to-air digital terrestrial TV (FTA DTT) remains the most popular television distribution model worldwide. In addition to that, the latest reports also estimate that the number of IPTV households will exceed digital cable TV households for the first time in 2026. IPTV stands for internet protocol television and describes a new technology that delivers video content via the internet instead of traditional satellite or cable connections.
Spotlight on the United States
The number of TV households in the United States has been growing for decades. And yet, the U.S. pay TV penetration rate keeps dropping every year, mainly due to the ever-increasing accessibility and popularity of online video streaming options. Audiences no longer want to be tied to fixed broadcasting schedules, which is why many viewers are cutting the cord and canceling their pay TV bundles in favor of on-demand video content that can be watched whenever, wherever, and on whichever devices they want.