The global automatic content recognition market is anticipated to grow at a significant CAGR during the forecast period. Automatic content recognition is a software-based identification technique for identifying content pieces on a media device or within a short distance. Algorithms are used in this method to analyse and route information with pictures, audio, and video characteristics using real-time data.
The increased deployment of automatic content recognition technologies by media firms for applications such as audience measurement and broadcast monitoring has had a direct impact on the growth of the global automatic content recognition market. Increased implementation of automatic content recognition technology in electronics such as display devices, smartphones, smart TVs and wearables is also boosting the global automatic content recognition market.
Moreover, the growing need among enterprises to analyse client behaviour, as well as the expanding number of hosted automatic content recognition solution providers, are propelling market expansion. Additionally, the increased income potential by deploying automatic content recognition technologies such as interactivity, personalization, and socialisation to television-oriented enterprises is propelling the global automatic content recognition market forward.
Market Coverage
o By Solution
o By Service
o By Technology
o North America
o Europe
o Asia-Pacific
o Rest of the Word
Key questions addressed by the report
o Recovery Timeline
o Deviation from pre-COVID forecast
o Most affected region and segment
Global Automatic Content Recognition Market by Segments
By Solutions
By Service
By Technology
Global Automatic Content Recognition Market by Region
North America
Europe
Asia-Pacific
Rest of the World