Researchmoz added Most up-to-date research on "Automatic Content Recognition Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017 - 2025" to its huge collection of research reports.
Automatic content recognition (ACR) is a technology to identify content available in a media file or played on a media device. This enables users to obtain specific information about the content that they just experienced without any search efforts or text based input. Automatic content recognition provides a solution for various brands to engage with television viewers on their second screens. Technology present viewers with second-screen content that's synced with the TV program and enables networks to measure a specific show's audience viewership in real time. Automatic content recognition works by making a digital mark from content on the television screen. This information can be used to identify the on screen content, and to sync with other automatic content recognition enabled devices, such as tablets and phones. According to IBM report, for television networks, the real benefit of automatic content recognition is precise to audience measurement.
The automatic content recognition market is expected to grow due to rapid deployment of innovative automatic content recognition technology in the marketplace and increasing integration of automatic content recognition in smart TVs. Samsung and LG are among the organizations that have adopted automatic content recognition software into their Smart TVs. These smart TVs can then keep tabs on the content stream of what viewer is seeing on television. Many companies are entering into the automatic content recognition domain. For instance, a company named Nielsen finalizes the acquisition of Gracenote from Tribune Media Services. With this acquisition, Nielsen gets access to the Gracenote technology and data that personalizes the user experience around the consumption of music, sports and video content. For marketers, automatic content recognition has an ability to revamp TV-viewing analytics. The increasing integration of automatic content recognition in media companies, advertisers and content providers will open up an opportunities for measuring audience engagement and cross-promotion. Furthermore, automatic content recognition offers various companies to expand their TV campaigns to digital, and measure attribution, engagement, and effectiveness of campaigns, which are not targeted across all platforms.
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Privacy and security act as a major constraints for the growth of automatic content recognition market. However, due to these privacy concerns many television companies are providing option to manually turn off the TV snooping feature. For instance, in order to use a Sony Android TV, people need to agree to Google's Terms of Service and Privacy Policy, which people can see when configuring the Sony Android TV for the first time.
Various revenue-generating benefits that automatic content recognition brings to the television environment along with the integration of internet of things (IoT) and big data analytics in automatic content recognition technology. That is expected to bring novel opportunity for automatic content recognition market during forecast period. For instance, various operators can increase their revenue since, automatic content recognition provides operators with analytical data, based on the viewing habits of the consumers by enabling them to send targeted advertising campaigns directly to the viewer. Additionally, operators can use automatic content recognition technologies into online services like e-commerce by providing an interactive and immersive experience to the viewer.
Automatic content recognition market can be segmented by Application, technology and region. On the basis of application, automatic content recognition market can be segmented as content Identification, broadcast Monitoring, content enhancement, audience measurement, others. Furthermore, on the basis of technology it can be segmented as passive finger- prints, digital watermarks and others.
Geographically automatic content recognition market can be segmented into North America, South America, Asia-pacific, Middle East and South Africa and Europe. North America and Europe are expected to lead due to increasing investment in research & development activity with respect to automatic content recognition technology. However, Asia pacific region is expected to grow at a significant rate due to increasing adoption of automatic content recognition software by prominent companies in this region.
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Some of the key players in automatic content recognition market are Audible Magic, muffin Gmbh, Gracenote, Inc., Viant Technology LLC., Datascouting, ivitec GmbH, Viscovery, VoiceBase, Inc., ACR cloud, Clarifai Inc., Nuance Communications, Inc. and more.
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Automatic content recognition (ACR) is a technology to identify content available in a media file or played on a media device. This enables users to obtain specific information about the content that they just experienced without any search efforts or text based input. Automatic content recognition provides a solution for various brands to engage with television viewers on their second screens. Technology present viewers with second-screen content that's synced with the TV program and enables networks to measure a specific show's audience viewership in real time. Automatic content recognition works by making a digital mark from content on the television screen. This information can be used to identify the on screen content, and to sync with other automatic content recognition enabled devices, such as tablets and phones. According to IBM report, for television networks, the real benefit of automatic content recognition is precise to audience measurement.
The automatic content recognition market is expected to grow due to rapid deployment of innovative automatic content recognition technology in the marketplace and increasing integration of automatic content recognition in smart TVs. Samsung and LG are among the organizations that have adopted automatic content recognition software into their Smart TVs. These smart TVs can then keep tabs on the content stream of what viewer is seeing on television. Many companies are entering into the automatic content recognition domain. For instance, a company named Nielsen finalizes the acquisition of Gracenote from Tribune Media Services. With this acquisition, Nielsen gets access to the Gracenote technology and data that personalizes the user experience around the consumption of music, sports and video content. For marketers, automatic content recognition has an ability to revamp TV-viewing analytics. The increasing integration of automatic content recognition in media companies, advertisers and content providers will open up an opportunities for measuring audience engagement and cross-promotion. Furthermore, automatic content recognition offers various companies to expand their TV campaigns to digital, and measure attribution, engagement, and effectiveness of campaigns, which are not targeted across all platforms.
To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=1445929
Privacy and security act as a major constraints for the growth of automatic content recognition market. However, due to these privacy concerns many television companies are providing option to manually turn off the TV snooping feature. For instance, in order to use a Sony Android TV, people need to agree to Google's Terms of Service and Privacy Policy, which people can see when configuring the Sony Android TV for the first time.
Various revenue-generating benefits that automatic content recognition brings to the television environment along with the integration of internet of things (IoT) and big data analytics in automatic content recognition technology. That is expected to bring novel opportunity for automatic content recognition market during forecast period. For instance, various operators can increase their revenue since, automatic content recognition provides operators with analytical data, based on the viewing habits of the consumers by enabling them to send targeted advertising campaigns directly to the viewer. Additionally, operators can use automatic content recognition technologies into online services like e-commerce by providing an interactive and immersive experience to the viewer.
Automatic content recognition market can be segmented by Application, technology and region. On the basis of application, automatic content recognition market can be segmented as content Identification, broadcast Monitoring, content enhancement, audience measurement, others. Furthermore, on the basis of technology it can be segmented as passive finger- prints, digital watermarks and others.
Geographically automatic content recognition market can be segmented into North America, South America, Asia-pacific, Middle East and South Africa and Europe. North America and Europe are expected to lead due to increasing investment in research & development activity with respect to automatic content recognition technology. However, Asia pacific region is expected to grow at a significant rate due to increasing adoption of automatic content recognition software by prominent companies in this region.
Get Complete TOC With Tables and Figures @ https://www.researchmoz.us/automatic-content-recognition-market-global-industry-analysis-size-share-growth-trends-and-forecast-2017-2025-report.html#table-of-content
Some of the key players in automatic content recognition market are Audible Magic, muffin Gmbh, Gracenote, Inc., Viant Technology LLC., Datascouting, ivitec GmbH, Viscovery, VoiceBase, Inc., ACR cloud, Clarifai Inc., Nuance Communications, Inc. and more.
About ResearchMoz
ResearchMoz is the one stop online destination to find and buy market research reports & Industry Analysis. We fulfill all your research needs spanning across industry verticals with our huge collection of market research reports. We provide our services to all sizes of organizations and across all industry verticals and markets. Our Research Coordinators have in-depth knowledge of reports as well as publishers and will assist you in making an informed decision by giving you unbiased and deep insights on which reports will satisfy your needs at the best price.
For More Information Kindly Contact:
ResearchMoz
Mr. Nachiket Ghumare,
Tel: +1-518-621-2074
USA-Canada Toll Free: 866-997-4948
Email: sales@researchmoz.us
Follow us on LinkedIn @ http://bit.ly/1TBmnVG
