Automatic Content Recognition Market Status (2016-2020) and Forecast Market Analysis, Regional Outlook, Segment Growth Potential, and Competitive Market Share Analysis, 2021-2027
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.)
Table Of Content
1. Automatic Content Recognition Market Overview
1.1. Product Overview and Scope of Automatic Content Recognition
1.2. Global Market Growth Prospects and Revenue Estimates
1.3. Global Automatic Content Recognition Market Size Growth Rate Analysis by Solution: 2020 VS 2027
1.3.1. Audio, Video & Image Recognition
1.3.2. Broadcast & Media Monitoring
1.3.3. Voice & Speech Recognition
1.3.4. Real-Time Content Analytics
1.3.5. Security & Copyright Management
1.3.6. Audience Management
1.3.7. Data Management & Metadata
1.3.8. Media Synchronization
1.3.9. Others
1.4. Global Automatic Content Recognition Consumption Comparison by Technology: 2020 VS 2027
1.4.1. Acoustic & Digital Video Fingerprinting
1.4.2. Speech Recognition
1.4.3. Digital Audio, Video and Image Watermarking
1.4.4. Optical Character Recognition
1.4.5. Others
1.5. Global Automatic Content Recognition Consumption Comparison by Application: 2020 VS 2027
1.5.1. Research Institution
1.5.2. Defence Organization
1.5.3. Commercial Enterprises
1.5.4. Geology and mineral exploration
1.5.5. Disaster management
1.5.6. Others
1.6. Global Automatic Content Recognition Market Size Estimates and Forecasts by Region: 2020 VS 2027
1.6.1. North America Automatic Content Recognition Estimates
1.6.2. Europe Automatic Content Recognition Estimates
1.6.3. Asia-Pacific Automatic Content Recognition Estimates
1.6.4. Latin America Automatic Content Recognition Estimates
1.6.5. Middle East & Africa Automatic Content Recognition Estimates
2. Market Competition by Manufacturers
2.1. Global Automatic Content Recognition Revenue Market Share by Manufacturers (2020)
2.2. Automatic Content Recognition Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.3. Global Automatic Content Recognition Average Price by Manufacturers (2016-2021)
2.4. Manufacturers Automatic Content Recognition Production Sites, Area Served, Product Types
2.5. Automatic Content Recognition Market Competitive Situation and Trends
2.5.1. Automatic Content Recognition Market Concentration Rate
2.5.2. Mergers & Acquisitions, Expansion
3. Global Automatic Content Recognition Consumption by Region (2016-2021)
3.1. Global Automatic Content Recognition Consumption by Region
3.2. Global Automatic Content Recognition Consumption Market Share by Region
3.2.1. North America
3.2.2. North America Automatic Content Recognition Consumption Growth Rate (2016-2021)
3.2.3. North America Automatic Content Recognition Consumption, Price and Gross Margin (2016-2021)
3.2.4. North America Automatic Content Recognition Consumption by Country
3.2.4.1. U.S.
3.2.4.2. Canada
3.2.5. Europe
3.2.6. Europe Automatic Content Recognition Consumption Growth Rate (2016-2021)
3.2.7. Europe Automatic Content Recognition Consumption, Price and Gross Margin (2016-2021)
3.2.8. Europe Automatic Content Recognition Consumption by Country
3.2.8.1. Germany
3.2.8.2. U.K.
3.2.8.3. France
3.2.8.4. Italy
3.2.8.5. Spain
3.2.9. Asia Pacific
3.2.10. Asia Pacific Automatic Content Recognition Consumption Growth Rate (2016-2021)
3.2.11. Asia Pacific Automatic Content Recognition Consumption, Price and Gross Margin (2016-2021)
3.2.12. Asia Pacific Automatic Content Recognition Consumption by Country
3.2.12.1. China
3.2.12.2. India
3.2.12.3. Japan
3.2.12.4. Indonesia
3.2.12.5. Malaysia
3.2.12.6. Australia
3.2.12.7. Latin Korea
3.2.13. Latin America
3.2.14. Latin America Automatic Content Recognition Consumption Growth Rate (2016-2021)
3.2.15. Latin America Automatic Content Recognition Consumption, Price and Gross Margin (2016-2021)
3.2.16. Latin America Automatic Content Recognition Consumption by Country
3.2.16.1. Brazil
3.2.16.2. Mexico
3.2.16.3. Argentina
3.2.17. Middle East and Africa
3.2.18. Middle East and Africa Automatic Content Recognition Consumption Growth Rate (2016-2021)
3.2.19. Middle East and Africa Automatic Content Recognition Consumption, Price and Gross Margin (2016-2021)
3.2.20. Middle East and Africa Automatic Content Recognition Consumption by Country
3.2.20.1. Saudi Arabia
3.2.20.2. Kuwait
3.2.20.3. UAE
3.2.20.4. Latin Africa
4. Global Automatic Content Recognition Consumption by Solution (2016-2021)
4.1. Global Automatic Content Recognition Price by Solution (2016-2021)
4.2. Global Automatic Content Recognition Revenue Market Share by Solution (2016-2021)
4.2.1. Audio, Video & Image Recognition
4.2.2. Broadcast & Media Monitoring
4.2.3. Voice & Speech Recognition
4.2.4. Real-Time Content Analytics
4.2.5. Security & Copyright Management
4.2.6. Audience Management
4.2.7. Data Management & Metadata
4.2.8. Media Synchronization
4.2.9. Others
5. Global Automatic Content Recognition Consumption by Technology (2016-2021)
5.1. Global Automatic Content Recognition Price by Technology (2016-2021)
5.2. Global Automatic Content Recognition Revenue Market Share by Technology (2016-2021)
5.2.1. Acoustic & Digital Video Fingerprinting
5.2.2. Speech Recognition
5.2.3. Digital Audio, Video and Image Watermarking
5.2.4. Optical Character Recognition
5.2.5. Others
6. Global Automatic Content Recognition Consumption by Application (2016-2021)
6.1. Global Automatic Content Recognition Price by Application (2016-2021)
6.2. Global Automatic Content Recognition Revenue Market Share by Application (2016-2021)
6.2.1. Media and Entertainment
6.2.2. IT and Telecommunication
6.2.3. Consumer Electronics
6.2.4. Defense and Public Safety
6.2.5. E-Commerce
6.2.6. Education
6.2.7. Automotive
6.2.8. Healthcare
6.2.9. Others
7. Key Companies Profiled
7.1. Apple Inc.
7.1.1. Apple Inc. Automatic Content Recognition Corporation Information
7.1.2. Apple Inc. Automatic Content Recognition Product Portfolio
7.1.3. Apple Inc. Automatic Content Recognition Consumption, Price and Gross Margin (2016-2021)
7.1.4. Apple Inc. Main Business and Markets Served
7.1.5. Apple Inc. Recent Developments/Updates
7.2. Arcsoft, Inc.
7.3. ACRCloud
7.4. Audible Magic Corporation
7.5. Beatgrid Media B.V
7.6. DataScouting
7.7. Digimarc Corporation
7.8. Enswers, Inc.
7.9. Google Inc.
7.10. Gracenote, Inc.
7.11. Kantar Media SAS
7.12. Microsoft Corporation
7.13. Nuance Communications, Inc.
7.14. Mufin GmbH
7.15. Shazam Entertainment Ltd.
7.16. Signalogic Inc.
7.17. Vobile Group Limited
7.18. Voiceinteraction SA
8. Marketing Channel, Distributors and Customers
8.1. Marketing Channel
8.2. Automatic Content Recognition Distributors List
8.3. Automatic Content Recognition Customers
9. Market Dynamics
9.1. Automatic Content Recognition Industry Trends
9.2. Automatic Content Recognition Growth Drivers
9.3. Automatic Content Recognition Market Challenges
9.4. Automatic Content Recognition Market Restraints
10. Global Automatic Content Recognition Consumption and Demand Forecast, by Region (2022-2027)
10.1. Global Forecasted Demand Analysis of Automatic Content Recognition, by Regions and Country
10.1.1. North America Forecasted Consumption of Automatic Content Recognition by Country
10.1.2. Europe Market Forecasted Consumption of Automatic Content Recognition by Country
10.1.3. Asia Pacific Market Forecasted Consumption of Automatic Content Recognition by Region
10.1.4. Latin America Forecasted Consumption of Automatic Content Recognition by Country
10.1.5. Middle East and Africa Forecasted Consumption of Automatic Content Recognition by Country
11. Global Automatic Content Recognition Consumption and Demand Forecast, by Solution Segments (2022-2027)
11.1. Global Forecasted Consumption of Automatic Content Recognition by Solution Segments(2022-2027)
11.2. Global Consumption and Price Forecast by Solution Segments (2022-2027)
11.3. Global Forecasted Growth Rate of Automatic Content Recognition by Solution Segments(2022-2027)
12. Global Automatic Content Recognition Consumption and Demand Forecast, by Technology Segments (2022-2027)
12.1. Global Forecasted Consumption of Automatic Content Recognition by Technology Segments(2022-2027)
12.2. Global Consumption and Price Forecast by Technology Segments (2022-2027)
12.3. Global Forecasted Growth Rate of Automatic Content Recognition by Technology Segments(2022-2027)
13. Global Automatic Content Recognition Consumption and Demand Forecast, by Application Segments (2022-2027)
13.1. Global Forecasted Consumption of Automatic Content Recognition by Application Segments(2022-2027)
13.2. Global Consumption and Price Forecast by Application Segments (2022-2027)
13.3. Global Forecasted Growth Rate of Automatic Content Recognition by Application Segments(2022-2027)
14. Research Finding and Conclusion
15. Methodology and Data Source
15.1. Methodology/Research Approach
15.1.1. Research Programs/Design
15.1.2. Market Size Estimation
15.1.3. Market Breakdown and Data Triangulation
15.2. Data Source
15.2.1. Secondary Sources
15.2.2. Primary Sources
15.3. Author List
15.4. Disclaimer
Research Methodology
Our research studies are primarily performed in five phases which include Secondary Research, Primary Research, Subject Matter Expert Advice, Quality Check, and Final Review. The process opted for conducting thorough research to make authentic business reports is briefly described below-
Secondary Research-
- Based on the understanding of requirements, we conducted secondary research to identify the Segment specifications, qualitative and quantitative data along with the factors responsible for the growth of the market.
- The secondary sources referred for the study include press releases, company annual reports, and research papers related to the industry.
- Various sources such as industry magazines, trade journals, government websites, and associations were also reviewed for gathering precise analysis on opportunities for business expansions in the market.
- Moreover, quantitative as well as qualitative data were also extracted from paid databases, which included Reuters, Factiva, Bloomberg, One Source, and Hoovers, which proved to be useful for in-depth technical study of the market.
Primary Research-
- The research carried out during the desk research was verified by primary interviews. Primary research was scheduled with a number of industry experts for conducting telephonic interviews, and also our team send questionnaires through their official emails.
- The secondary data collected was then verified by various industry participants which included Segment managers, marketing managers, VPs, CEOs, purchasing managers, subject matter experts.
- An interview with the mentioned participants aids invalidation of our research findings regarding the Segment.
- It helps in the provision of first-hand data on factors such as market size, growth, regional trends, market trends, and competition in the industry. This approach makes our findings precise in order to help our clients in strategic decision-making processes.
Subject Matter Advice-
- The secondary and primary research key findings were then validated by the in-house subject matter experts having extensive experience in the market research industry.
- Specific requirements of the clients were reviewed by the experts to check for completion of the market study. Experts help in channelizing the representation skills of the analyst in terms of providing data that can be easily understood by our customers.
Quality Check-
- The analysis done by the research team was further reviewed to check for data accuracy provided to suit the clients’ specific requirements.
- This revision was done in various phases to check the data authenticity and to remove negligible errors in the final compilation.
Final Review-
- After the quality check, a final review of the report was done to look after the presentation, formatting, and to recheck if all the requirements of the clients were addressed. The next phase remains dispatch of the report to the client.
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