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Report
Automatic Content Recognition Market By Offering (Solution, Service), By Platform Type (Connected TVs, Linear TVs, OTT Applications, Others), By Technology (Audio and Video Fingerprinting, Audio and Video Watermarking, Speech Recognition, Others), By Deployment Mode (On-premise, Cloud), By Application (Audience Measurement, Broadcast Monitoring, Advertisement Targeting and Pricing, Content Management, Others), By Enterprise Size (Large Enterprises, SMEs), By Industry Vertical (Consumer Electronics, Media and Entertainment, Automotive, Retail and ECommerce, IT and Telecom, Education, Others), By Content Type (Video, Audio, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
Market Report I 2022-10-01 I 333 Pages I Allied Market Research
The automatic content recognition is a technology to identify content played on a media device or present within a media file. In addition, this device implementing ACR can allow the device or the manufacturer to collect content consumption information automatically at the screen level itself, without any user-based input or search effort. Moreover, the information may be collected for purposes such as personalized advertising, content recommendations, sale to customer data aggregators, and other applications.
Rise in use of smart devices & content streaming services and growth in integration of ACR in smartphones & wearable devices drive the growth of the market. In addition, surge in number of hosted automatic content recognition solution providers fuels the growth of the market. However, increasing security concerns is expected to impede the market growth. Furthermore, rise in adoption of AI, ML, and NLP technologies is expected to provide lucrative opportunities for the market growth.
The automatic content recognition market is segmented based on the basis of offering, platform type, technology, deployment mode, application, enterprise size, industry vertical, content type, and region. By offering, it is bifurcated into solution and service. By platform type, it is fragmented into, connected TVs, linear TVs, OTT applications, and others. In terms of technology, the market is classified into audio & video fingerprinting, audio & video watermarking, speech recognition, and others. In terms of deployment mode, the market is divided into on-premise and cloud. By application, it is segregated into audience measurement, broadcast monitoring, advertisement targeting & pricing, content management, and others. By enterprise size, it is categorized into large enterprise and SME's. In terms of industrial vertical, it is segmented into consumer electronics, media & entertainment, automotive, retail & e-commerce, IT & telecom, education, and others. By content type, it is classified into video, audio, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the automatic content recognition market analysis are ACRCloud, ArcSoft, Audible Magic, Apple, Digimarc Corporation, Google, Gracenote, IBM Corporation, KT Corporation, Kudelski Group, Microsoft Corporation, Nuance Communication, Inc., VoiceBase, Vobile, VoiceInteraction, Beatgrid Media B.V., Clarifai. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Key Benefits For Stakeholders
-This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the automatic content recognition market analysis from 2021 to 2031 to identify the prevailing automatic content recognition market opportunities.
-The market research is offered along with information related to key drivers, restraints, and opportunities.
-Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
-In-depth analysis of the automatic content recognition market segmentation assists to determine the prevailing market opportunities.
-Major countries in each region are mapped according to their revenue contribution to the global market.
-Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
-The report includes the analysis of the regional as well as global automatic content recognition market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Offering
- Solution
- Service
- Service Type
- Professional Services
- Managed Services
By Platform Type
- Connected TVs
- Linear TVs
- OTT Applications
- Others
By Technology
- Audio and Video Fingerprinting
- Audio and Video Watermarking
- Speech Recognition
- Others
By Deployment Mode
- On-premise
- Cloud
By Application
- Audience Measurement
- Broadcast Monitoring
- Advertisement Targeting and Pricing
- Content Management
- Others
By Enterprise Size
- Large Enterprises
- SMEs
By Industry Vertical
- Consumer Electronics
- Media and Entertainment
- Automotive
- Retail and ECommerce
- IT and Telecom
- Education
- Others
By Content Type
- Video
- Audio
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- Netherlands
- Rest Of Europe
- UK
- Germany
- France
- Italy
- Spain
- Asia-Pacific
- China
- Japan
- Australia
- South Korea
- India
- Rest Of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- Key Market Players
- Nuance Communications
- ACRCloud
- ArcSoft
- Audible Magic
- Apple
- Digimarc Corporation
- Google
- Gracenote
- IBM Corporation
- KT Corporation
- Kudelski Group
- Microsoft Corporation
- Nuance Communication, Inc.
- VoiceBase
- Vobile
- VoiceInteraction
- Beatgrid Media B.V.
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