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Automatic Content Recognition Market Status (2016-2020) and Forecast Market Analysis, Regional Outlook, Segment Growth Potential, and Competitive Market Share Analysis, 2021-2027

Format: PDF | Pages: 300 | Report ID: MRS1045


Report Description

The global Automatic Content Recognition market size is estimated at USD 3.66 billion in 2020, expanding at a CAGR of 6.1% from 2021-2027.

Market Dynamics

Automatic Content Recognition (ACR) is the technology to detect and identify the content played in media. It processes and compares the media with the source file which identifies the uniqueness of the content. The technology is genearally used for content enhancement, content recognition, voice and speech recognition broadcast monitoring, and audience measurement.

Technological advancement in smartphones and smart TVs and worldwide demand for automatic content recognition solutions are the driving factors of the market. In addition, increasing electronics manufacturing companies with ACR technology in smart devices such as TVs and mobiles.

However, privacy and security constraints and the technological complexity of content recognition algorithms are likely to hinder the market growth during the forecast period.

Based on Solution, the market is segmented into Audio, Video & Image Recognition, Broadcast & Media Monitoring, Voice & Speech Recognition, Real-Time Content Analytics, Security & Copyright Management, Audience Management, Data Management & Metadata, Media Synchronization, and Others. The Audio, Video & Image Recognition segment is projected to hold the largest market share in the Automatic Content Recognition market during the forecast period as it identifies all types of media content.

Based on Technology, the market is bifurcated into Acoustic & Digital Video Fingerprinting, Speech Recognition, Digital Audio, Video and Image Watermarking, Optical Character Recognition, and Others.

Based on Application, the market is bifurcated into Media and Entertainment, IT and telecommunications, Consumer Electronics, Defense and Public Safety, E-Commerce, Education, Automotive, Healthcare, and Others. The Media and Entertainment segment is projected to hold the largest market share in the Automatic Content Recognition market during the forecast period owing to rising electronics manufacturing companies with Automatic Content Recognition technology.

Regionally, the North American region holds the largest revenue share in 2020 and is estimated to register significant growth during the forecast period owing to the increasing media and entertainment industry in the region. On the other hand, Asia-Pacific accounted for a significant growth rate during the forecast period owing to the technological advancement and digitalization in the region.

Some of the prominent players are Apple Inc., Arcsoft, Inc., ACRCloud, Audible Magic Corporation, Beatgrid Media B.V., DataScouting, Digimarc Corporation, Enswers, Inc., Google Inc., Gracenote, Inc., Kantar Media SAS, Microsoft Corporation, Nuance Communications, Inc., Mufin GmbH, Shazam Entertainment Ltd., Signalogic Inc., Vobile Group Limited and Voiceinteraction SA, among others.

In July 2020, Microsoft Corporation, a leading technology company, and Mastercard, a global technology company in the payments industry, announced the collaboration to accelerate innovation across digital commerce and start-up ecosystems.

The report begins with an overview of the Industry Chain structure, and describes the industry environment, then analyses market size and forecast of Automatic Content Recognition Market by solution, technology, application, and region. In addition, this report introduces the market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report.

Company Coverage (Company Profile, Sales Revenue, Price, Gross Margin, Main Products, , etc.):

  • Apple Inc. 
  • Arcsoft, Inc.
  • ACRCloud
  • Audible Magic Corporation
  • Beatgrid Media B.V
  • DataScouting
  • Digimarc Corporation
  • Enswers, Inc.
  • Google Inc.
  • Gracenote, Inc.
  • Kantar Media SAS
  • Microsoft Corporation
  • Nuance Communications, Inc.
  • Mufin GmbH
  • Shazam Entertainment Ltd.
  • Signalogic Inc.
  • Vobile Group Limited
  • Voiceinteraction SA

Solution Coverage (Market Size & Forecast, Main Consumer Analysis, , etc.):

  • Audio, Video & Image Recognition
  • Broadcast & Media Monitoring
  • Voice & Speech Recognition
  • Real-Time Content Analytics
  • Security & Copyright Management
  • Audience Management
  • Data Management & Metadata
  • Media Synchronization
  • Others

Technology Coverage (Market Size & Forecast, Main Consumer Analysis, etc.):

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

Application Coverage (Market Size & Forecast, Main Consumer Analysis, etc.):

  • Media and Entertainment
  • IT and Telecommunication
  • Consumer Electronics
  • Defense and Public Safety
  • E-Commerce
  • Education
  • Automotive
  • Healthcare
  • Others

Region Coverage (Regional Consumption, Demand & Forecast by Countries, etc.):

  • North America (U.S., and Canada)
  • Europe (Germany, U.K., France, Italy, Spain, etc.)
  • Asia-Pacific (China, India, Japan, Indonesia, Malaysia, Australia, South Korea, etc.)
  • Latin America (Brazil, Mexico, Argentina, etc.)
  • Middle East & Africa (Saudi Arabia, Kuwait, UAE, South Africa, etc.)

Frequently Asked Questions

The global Automatic Content Recognition market size is estimated at USD 3.66 billion in 2020, expanding at a CAGR 6.1% from 2021-2027.
North America captured the highest revenue in 2021 and is projected to continue its dominance during the study period.
The global industry is growing at a promising growth rate over the study period.
Asia Pacific (especially China, and India) region is projected to grow at the fastest growth rate during the study period.
The worldwide market is characterized by the presence of large number of small scale and medium scale players.

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