Automatic Content Recognition Market: By Solution (Audio, Video and Image Recognition, Voice, Real Time Content Analytics), By Service (Professional, Managed), End User (IT & Telecommunication, Healthcare) – Global Forecast till 2023

SKU ID : MRF- 13243095

Publishing Date : 01-Feb-2019

No. of pages : 84

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  • Introduction
    Automatic content recognition (ACR) is a technique used by an application to identify a content element within a close distance. These techniques are most commonly used in televisions, smartphones, and tablets nowadays. By making use of watermark technology or fingerprinting technology, ACR helps in dynamic and seamless interlinking of applications, content, devices and viewers. ACR is poised to power the majority of these next generation interactive applications.
    ACR is an emerging technology that is widely used to capture and identify digital content, across devices connected to internet. The automatic content recognition technology generally works on certain algorithms that identify and capture the content. This content is often in the form of an image, video clip or an audio note. The major technologies being used to identify the content include fingerprinting, watermarking, and speech recognition. Many companies provide these technologies integrated within a mobile application. Advertising, media & entertainment, and consumer electronics are the leading end-users of the automatic content recognition technology. The applications of automatic content recognition include content enhancement, content identification, real-time audience measurement, and broadcast monitoring.
    The global automatic content recognition market is expected to grow at 27.2% CAGR during the forecast period, 2017–2023. In 2017, the market was led by North America, followed by Europe and Asia-Pacific, respectively. There have been developments in the media and advertising industry, considering the recognition of content and personalizing the output. Shazam, allows the users to identify any music played in the background and display matching results. Another great example of content recognition is Google Images, wherein the user can upload any image and get search results based on the content recorded in the image.
    The global automatic content recognition market has been segmented on the basis of technology, end-user application, and region. Of all the technologies, speech recognition held the largest market share of 42.5% in 2017, with a market value of USD 452.1 million, which is projected to grow at a CAGR of 28.3% during the forecast period. On the basis of end-user application, advertising, media and entertainment held the largest market share of 24.5% in 2017, with a market value of USD 261 million, which is projected to grow at the highest CAGR of 29.3%.
    The major companies offering software, and services in automatic content recognition market, across the globe include Arcsoft Inc, Digimarc Corporation, Microsoft Corporation, ARC Cloud, Audible Magic Corporation, Clarifai Inc, Enswers Inc, Beatgrid Media B.V, and Shazam Entertainment. These companies had adopted organic and inorganic market growth strategies, such as new product development, product enhancement, partnerships and collaborations, and mergers and acquisitions, to enhance their customer base and the number of content recognition products.
    Key Players
    The key players in the global automatic content recognition market are Arcsoft Inc, Digimarc Corporation, Microsoft Corporation, ARC Cloud, Audible Magic Corporation, Clarifai Inc, Enswers Inc, Beatgrid Media B.V, and Shazam Entertainment.

    Global Automatic content recognition Market Analysis and Forecast, 2018–2023
    • To provide detailed analysis of the market structure along with forecast for the next 6 years of various segments and sub-segments of the automatic content recognition market
    • To provide insights about factors affecting the market growth
    • To analyze the global automatic content recognition market based on various tools such as Supply Chain Analysis, and Porter’s Five Force Analysis
    • To provide historical and forecast revenue of the market segments and sub-segments with respect to regions and their respective key countries
    • To provide country level analysis of the market with respect to the current market size and future prospective
    • To provide country level analysis of the market for segments by technology, end-user application, and region
    • To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market
    • To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the automatic content recognition market
    Target Audience
    • Technology Investors
    • Research/Consultancy firms
    • Technology Solution Providers
    • Government Bodies
    • E-commerce companies
    • Original Equipment Manufacturers
    Key Findings
    • The global automatic content recognition market is expected to reach USD 4.50 billion by 2023.
    • By technology, speech recognition accounted for the largest market value of USD 452.1 million in 2017 and is projected to grow at a CAGR of 28.3% during the forecast period. Passive fingerprinting was the second largest market in 2017 and it is projected to grow at a CAGR of 25.4%.
    • By end-user application, advertising, media & entertainment accounted for the largest market value of USD 261.0 million in 2017 and is projected to grow at a CAGR of 29.3% during the forecast period. Consumer electronics was the second largest market in 2017 and it is projected to grow at a CAGR of 28.7%
    • By region, North America accounted for the largest market value of USD 388 million in 2017 and is projected to grow at a CAGR of 26.9% during the forecast period. Europe was the second largest market in 2017 and it is projected to grow at a CAGR of 27.4%.


    Regional and Country-Level Analysis of the Automatic content recognition Market, Estimation and Forecast
    North America is expected to be the largest revenue generating market for ACR during the forecast period. This growth is attributed to the increasing advancement in the technologies, such as artificial intelligence, and the growing adoption rate of cloud and IoT, among SMEs and large enterprises. Asia-Pacific is the fastest growing market for automatic content recognition. China and India have key contribution in the revenue generation of the market due to the increasing awareness regarding emerging technologies and investment by key players in the countries, such as India, Singapore, and Indonesia.
    The report also offers a brief country-level analysis for the various regional markets.
    • North America
    o US
    o Canada
    o Mexico
    • Europe
    o UK
    o Germany
    o France
    o Rest of Europe
    • Asia-Pacific
    o China
    o Japan
    o India
    o Rest of Asia-Pacific
    • Rest of the World
    o Middle East & Africa
    o South America

    Frequently Asked Questions



    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

    • By product type
    • By End User/Applications
    • By Technology
    • By Region

    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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