Allied Market Research
Allied Market Research

Automatic Content Recognition Market by Component (Solutions and Services), Organization Size (Small and Medium Sized Enterprises (SMEs) and Large Enterprises), Technology (Speech Recognition, Digital Audio, Video & Image Watermarking, Acoustic & Digital Video Fingerprinting, and Optical Character Recognition), and Industry Vertical (BFSI, Retail & E-Commerce, Healthcare, IT & Telecommunication, Manufacturing, Media & Entertainment, Education, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

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Dec 2020 | 304 Views
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Automatic Content Recognition Market Statistics: 2027

Automatic content recognition (ACR) is a content identification technology that recognizes content played on a media device or present in a media file. It helps users to quickly obtain detailed information about the content they have experienced without any text-based input or search efforts. ACR allows end user interface with multimedia technology to be more efficient. Hence,  making  applications for videos on demand more personalized for users by recommending content based on previous searches made by users. Rise in use of mobile gadgets and smart TVs increases media disruption, taking media skills to another degree of commitment and collaboration, which allows automatic content recognition market to grow. Furthermore, growth in demand for ACR by media organizations for end-user applications such as video broadcasting and video on demand is expected to encourage programmed content and advertisement development to meet the requirements of end user.


Market scope and structure analysis:

                   Report Metric


  Market size available for years


  Base year considered


  Forecast period


  Forecast units

  Value ($)

  Segments covered

Component, Organization Size, Technology, Industry Vertical, and Region

  Regions covered

North America (U.S. and Canada), Europe (Germany, UK, France, and rest of Europe), Asia-Pacific (China, Japan, India, and rest of Asia-Pacific), Latin America (Brazil, Mexico, and rest of LATAM) and Middle East & Africa

  Companies covered

Major players analyzed in the report include ACRCloud, Arcsoft, Inc., Civolution, Enswers Inc., Grace Note Inc, Google Inc., Microsoft Corporation, Nuance Communications, Shazam Entertainment Ltd., and Vobile Inc.


COVID-19 Scenario Analysis: 

  • Cellular Operators Association of India (COAI) has urged popular streaming apps such as Netflix, Hotstar, Amazon Prime, and YouTube to reduce the content quality from HD to SD so that it does not burden cellular network infrastructure in the wake of an unpredicted surge in mobile internet consumption.
  • There has been a significant rise in use of the smart TVs and mobile phones after government-initiated lockdown was announced globally. 
  • Rise in time spent per user on chats, social media, and news after the spread of COVID-19 has significantly increased, as the users are online to stay connected with family, friends, and colleagues. 

Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Rise in integration of ACR technology in electronics such as Smart TVs, smartphones, and wearables owing to increase in need for smart gadgets is a major factor expected to drive the growth of the global automatic content recognition market during the forecast period. Moreover, increase in deployment of ACR technologies by media & entertainment companies for applications such as audience measurement, weather forecasting, and broadcast monitoring is also  expected to boost the market growth in the coming years. 

However, constraints associated with content privacy and security is a major factor that could hinder the automatic content recognition market growth to a certain extent. Moreover, emergence of contextual advertising, contextual commerce, enhanced contextual experiences, and spoiler-proof social feeds is an opportunistic factor, which is expected to drive the revenue growth of the market during the forecast period. In addition, proliferation of smart IoT, analytics, and artificial intelligence products, with integration of automatic content recognition technology is also an opportunistic factor for the market growth.

ACR in media & entertainment industry 

ACR brings revenue-generating benefits to television, along with the integration of internet of things (IoT) and big data analytics in automatic content recognition technology, which is an opportunity for the growth of automatic content recognition market. Various operators are adopting automatic content recognition solutions as it provides them with analytical data, based on viewing habits of consumers and enables to send targeted advertising campaigns directly to viewers. In addition, operators can use automatic content recognition technologies for online services such as e-commerce by providing interactive experience to a viewer.

Rise in use of smart TVs and streaming apps

Rise in popularity of various on demand video applications such as Netflix, Hotstar, Amazon Prime, and YouTube drives the demand for the ACR software market. ACR predicts the behavior of a consumer on the basis of their past surfing and recommend new content to users, keeping them interested, which increases their usage time on streaming applications, therefore, increasing the demand of ACR software by organizations.

Other factors expected to drive the growth of the automatic content recognition market include increase in awareness of ACR benefits such as interactivity, personalization, and socialization from the television environment, rise in need to gain consumer behavior insights, and rise in number of hosted ACR solution providers. 

Key segments covered:




  • Solutions
  • Services

  Organization Size

  • Small and Medium Sized Enterprises (SMEs)
  • Large Enterprises


  • Speech Recognition
  • Digital Audio
  • Video & Image Watermarking
  • Acoustic & Digital Video Fingerprinting
  • Optical Character Recognition

  Industry Vertical

  • BFSI
  • Retail & eCommerce
  • Healthcare
  • IT & Telecommunications
  • Manufacturing
  • Media & Entertainment
  • Education
  • Others


Key benefits of the report:

  • This study presents the analytical depiction of the global automatic content recognition industry along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the automatic content recognition market.
  • The current market is quantitatively analyzed from 2021 to 2027 to highlight the global automatic content recognition market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the automatic content recognition market. 
  • The report provides a detailed global automatic content recognition market analysis based on competitive intensity and how the competition will take shape in coming years.
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