Automatic Content Recognition (ACR) Market Research Report - Forecast to 2030

Automatic Content Recognition Market Research Report: Information By Solution (Audio, Video and Image Recognition, Voice, Real Time Content Analytics), By Service (Professional, Managed), End User (IT & Telecommunication, Healthcare), and Region — Forecast till 2030

ID: MRFR/ICT/0701-CR | August 2018 | Region: Global | 91 Pages         

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Automatic Content Recognition Market

Automatic Content Recognition Market to hit USD 8.65 Billion by 2030, registering a 26.74% CAGR during the forecast period, 2022–2030
Market Size
CAGR
Dominating Region
Forecast Period
$8.65 Billion
26.74%
North America
2022-2030
Segmentation
By Solution
By Service
By End User
  • Audio
  • Video and Image Recognition
  • Voice
  • Real Time Content Analytics
  • Professional
  • Managed
  • IT & Telecommunication
  • Healthcare
Companies Profiled
Key Players
Arcsoft Inc. (US)
Digimarc Corporation (US)
Microsoft Corporation (US)
ACR Cloud (US)
Audible Magic Corporation (US)
Clarifai Inc. (US)
Enswers Inc. (South Korea)
Beatgrid Media B.V. (The Netherlands)
Shazam Entertainment Ltd. (US).
Market Driving Forces
Drivers
Increasing adoption of ACR in Smart TV's
Increasing deployment of ACR Technologies by media industry
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Market Research Future Insights


The global Automatic Content Recognition market size is projected to reach approximately USD 8.65 billion by 2030, at a CAGR of 26.74% from 2022 to 2030. Automatic content recognition is a technology that can identify the type of media being played on the device or within a file. Devices implementing ACRs can automatically collect content consumption info without the user taking any actions. This information may be collected and used to provide content that is tailored to preferences.


COVID-19 Impact Analysis


COVID-19 was a wake-up call for many companies, making them realize their old business models were no longer sustainable. Some of these old companies have already taken steps to digitalize and improve their business with the use of new technologies such as cloud technology, Artificial Intelligence, analytics, and more. Machine learning and data analytics have been important in the fight against COVID-19, among other pandemics. A vast majority of countries have adopted automatic content recognition and machine learning to help track the spread of the virus, as well as the number of lives it has taken. The most difficult aspect of using automatic content recognition during COVID-19 appears to be the collection of data.


Market Dynamics


Smartphones, tablets & TVs are all starting to include content recognizing features, and ACR will play an important role in this. ACR is a tool that allows apps to identify specific elements within a close distance. These advances in watermark and fingerprint technology have made ACR more efficient, which in turn has made it possible for apps to seamlessly link with each other. ACR is likely to see a lot of room for growth in next-generation interactive applications.


Drivers



  • Increase in the usage of smart devices


As technology has advanced and more smart devices have been released onto the market for easier use, there has been an increased demand for content identification, recognition, and enhancement on various screen types. The influx of this service has led to more businesses relying on automatic content detection apps, like Shazam. With the music recognition app, it's become a lot easier to find the information that is needed. Later, many companies followed suit and launched second screen notifications for smart TVs & smartphones. Video-streaming services, such as Netflix & YouTube, are increasing the demand for automatic content recognition and solutions.


Restraints:



  • Threats to data security


The success of automatic content recognition solutions is heavily dependent on the availability of data. As IoT becomes more ubiquitous, organizations will rapidly require increasingly thorough security & privacy to avoid data breaches. Security is an issue that threatens the success of digitalization. Technology has made it easier for organizations to collect data from all their touchpoints and measure it virtually. These data points can be used in a variety of ways including marketing, customer support, recruitment, and more. With IoT devices becoming more popular, it's not hard to imagine that the number of security breaches will increase.


Opportunities:



  • The rise in acceptance of AI, ML, and NLP Technologies


The abundance of data and the need for real-time analytics have forced organizations to adopt new technologies, such as AI, ML, and NLP. These technologies have helped transform and make the data-analysis process much more efficient. Graphs and charts were previously used to analyze data, but it was not user-friendly, which increased the risk of people misunderstanding the data.


Segment Overview


By Solution


Based on the Solution, the global Automatic Content Recognition market has been segmented based on Audio, Video, Image Recognition, Voice, Real Time Content Analytics. The Video and Image Recognition segment is the fastest growing in the global Automatic Content Recognition market.


By Service


Based on the Service, the global Automatic Content Recognition market has been segmented based on Professional, Managed. The Professional segment is expected to be the fastest growing in the global Automatic Content Recognition market.


By End-User


Based on the End-User, the global Automatic Content Recognition market has been segmented based on IT & Telecommunication, Healthcare. The IT & Telecommunication segment is expected to be the fastest growing in the global Automatic Content Recognition market.


Global Automatic Content Recognition Market Share, by Region, 2020 (%)Global Automatic Content Recognition Market Share, by Region, 2020 (%)Regional Analysis


By region, the global Automatic Content Recognition market has been divided into North America, Europe, Asia-Pacific, and the Rest of the World. The North American region holds the largest market for the Automatic Content Recognition business.


Asia-Pacific


The Asia-Pacific is predicted to grow at a moderate pace during the forecast period. There's a lot of new business being set up in the region and it's growing quickly. Many businesses are taking advantage of advanced analytics, like utilizing AI writers to gain a competitive edge. China, Japan, and India are huge markets for the content recognition industry.


North America


North American countries will account for the largest share of spending on automatic content recognition across most sectors. Key factors favoring the growth of the automatic content recognition market in North America are its increasing technological advancement and the growing number of players in this region.


Competitive Landscape


The market comprises various national and international players. The market players are investing in R&D and also finding new ways to develop and improve product portfolios. Various players are entering into expansion, new product launches, joint ventures, and partnerships, to strengthen their market position and capture a large customer base.


Prominent players in the global Automatic Content Recognition market include Arcsoft, Inc., Digimarc Corporation, Microsoft Corporation, ACR Cloud, Audible Magic Corporation, Clarifai Inc., Enswers, Inc., Beatgrid Media B.V., and Shazam Entertainment Ltd.


Scope of the Report


Global Automatic Content Recognition Market, by Solution



  • Audio, Video, and Image Recognition

  • Voice

  • Real-Time Content Analytics


Global Automatic Content Recognition Market, by Service



  • Professional

  • Managed


Global Automatic Content Recognition Market, by End-User



  • IT & Telecommunication

  • Healthcare


Global Automatic Content Recognition Market, by Region




  • North America

    • US

    • Canada

    • Mexico




  • Europe

    • UK

    • Germany

    • France

    • Italy

    • Spain

    • Rest of Europe




  • Asia-Pacific

    • China

    • India

    • Japan

    • Australia and New Zealand

    • Rest of Asia-Pacific




  • Rest of the World

    • South America

    • Middle East

    • Africa




Objectives of the Study


The objectives of the study are summarized in 5 stages. They are as mentioned below:


Market Size and Forecast:

To identify and estimate the market size for global Automatic Content Recognition market segmented by product type, material type, category, shape and distribution channel by value (in US dollars). Also, to understand the consumption/ demand created by consumers of Automatic Content Recognition during the period of 2019-2030


Market Landscape and Trends:


To identify and infer, the drivers, restraints, opportunities and challenges for the global Automatic Content Recognition market


Market Influencing Factors:


To find out the factors which are affecting the sales of Automatic Content Recognition among consumers


Impact of COVID-19:


To identify and understand the various factors involved in the global Automatic Content Recognition market affected by the pandemic


Company Profiling:


To provide a detailed insight into the major companies operating in the market. The profiling will include the financial health of the company past 2-3 years with segmental and regional revenue breakup, product offering, recent developments, SWOT analysis, and key strategies002E


Intended Audience



  • Automatic Content Recognition Producers

  • Raw Material Suppliers

  • Retailers, Wholesalers, and Distributors

  • Governments, Associations, and Industrial Bodies

  • Investors and Trade Experts



Report Scope:

Report Attribute/Metric Details
  Market Size   USD 8.65 Billion
  CAGR   26.74% CAGR (2022-2030)
  Base Year   2021
  Forecast Period   2022-2030
  Historical Data   2020
  Forecast Units   Value (USD Million)
  Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
  Segments Covered   Solution, Service, End-User
  Geographies Covered   North America, Europe, Asia-Pacific, and Rest of the World (RoW)
  Key Vendors   Arcsoft, Inc., Digimarc Corporation, Microsoft Corporation, ACR Cloud, Audible Magic Corporation, Clarifai Inc., Enswers, Inc., Beatgrid Media B.V., Shazam Entertainment Ltd
  Key Market Opportunities   The rise in acceptance of AI, ML, and NLP technologies
  Key Market Drivers   Increase in the usage of smart devices


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Frequently Asked Questions (FAQ) :

The study period of the global Automatic Content Recognition market is 2022 - 2030

The global Automatic Content Recognition market is growing at a CAGR of 26.74% by 2022 to 2030

Asia Pacific is expected to register the highest CAGR during 2022 - 2030

Arcsoft, Inc., Digimarc Corporation, Microsoft Corporation, ACR Cloud, Audible Magic Corporation, Clarifai Inc., Enswers, Inc., Beatgrid Media B.V., and Shazam Entertainment Ltd are the major companies operating in the global Automatic Content Recognition market.