Albany, NY -- (SBWIRE) -- 01/04/2018 -- This exclusive report will provide you with the market size and forecast (US$ Mn) for the global market and its segments for the period from 2017 to 2022 along with the growth rate (CAGR), considering 2016 as base year. In addition, drivers, restraints and opportunities, competitive landscape have also been covered under the current proposed table of contents, which will in due course help you to take strategic decisions with respect to the market.

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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.

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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.

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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.

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.

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.

The study is a source of reliable data on:

Market segments and sub-segments
Market trends and dynamics
Supply and demand
Market size
Current trends/opportunities/challenges
Competitive landscape
Technological breakthroughs
Value chain and stakeholder analysis

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The regional analysis covers:

North America (U.S. and Canada)
Latin America (Mexico, Brazil, Peru, Chile, and others)
Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
Eastern Europe (Poland and Russia)
Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
Middle East and Africa (GCC, Southern Africa, and North Africa)

The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry's value chain.

A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.

Highlights of the report:

A complete backdrop analysis, which includes an assessment of the parent market
Important changes in market dynamics
Market segmentation up to the second or third level
Historical, current, and projected size of the market from the standpoint of both value and volume
Reporting and evaluation of recent industry developments
Market shares and strategies of key players
Emerging niche segments and regional markets
An objective assessment of the trajectory of the market
Recommendations to companies for strengthening their foothold in the market

Note: Although care has been taken to maintain the highest levels of accuracy in TMR's reports, recent market/vendor-specific changes may take time to reflect in the analysis.