The global automatic content recognition market is projected to grow at a significant rate during the forecast period. Automatic content recognition (ACR) uses audio and video fingerprinting techniques to identify content playing on TVs, computers, smartphones or any other media devices and extract metadata from that content. It analyzes the video/audio content in real-time and matches it against a database of reference fingerprints for programming, advertisements, and other content. With the growing media and entertainment industry across the globe, ACR solution providers are focusing on developing advanced technologies to identify content and enable various functionalities. Moreover, the increasing usage of digital platforms for content consumption is another major factor expected to drive the demand for automatic content recognition solutions in the coming years.
Market Dynamics:
The global automatic content recognition market is driven by the rising demand for video-based content and targeted advertisement. The growing adoption of over-the-top media services among consumers is further propelling the need for ACR technology across various industries to understand viewership behavior and audience preferences. However, high initial investment and technical complexities associated with ACR solutions hinders the growth of this market. Besides, increasing number of connected devices provides a notable opportunity for industry players. Manufacturers are developing solutions compatible with different platforms to capitalize on this opportunity. Moreover, growing smartphone penetration especially in developing countries have created new avenues for automatic content recognition technology providers and app developers.
Key Features of the Study:
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