Automatic Content Recognition Market Consumption And Demand, Sales Forecast 2020 To 2027

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Summary:

A New Study Title “AUTOMATIC CONTENT RECOGNITION Market Size, Status And Forecast 2027” Has Been Featured On Market Research Future.

Market Scenario:

The Automatic Content Recognition Market is anticipated to develop at a CAGR of 27 percent while achieving USD 4,507 million in revenue through the forecast period 2020 to 2027

The capabilities of client applications are being developed significantly in the recent times, due to an increased need of end users to find relevant content online. As a result, automatic content recognition has emerged as an identification technology to recognize content present in a media file or played on media devices. The concept of ACR enables rapid collection of detailed information about the content without any text-based input or search efforts. Thus, helping users deal with multimedia more effectively while making applications more intelligent.

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Competitive Outlook:

The automatic content recognition market globally is defined by the incidence of many regional, global, and local vendors. The market is extremely competitive with all the players contending to capture market share. Advances in technology, intense competition, and changes in government policies are important factors that are motivating the market’s growth. The vendors compete based on quality, cost, reliability, and aftermarket service. Digimarc Corporation (US), Arcsoft, Inc. (US), Microsoft Corporation (US), Beatgrid Media B.V. (The Netherlands), Audible Magic Corporation (US), Clarifai Inc. (US), Enswers, Inc. (South Korea), ACR Cloud (US) and Shazam

 

Segmentation:

The automatic content recognition market globally is segmented into end-user application, technology, and region. By Technology, the market is segmented into speech recognition, passive fingerprinting, and digital watermarks. The speech recognition segment is dominating the automatic content recognition market in this segment and is also projected to develop at the highest rate during the forecast period. By end-use application, the market is segmented into advertising, industrial, consumer electronics, media & entertainment, gaming, education, broadcasting industry, and others.

 

The media, advertising, & entertainment segment is controlling the market as reported in 2017 and is also anticipated to develop at the highest rate during the forecast period. By region, the market is segmented into regions such as North America, Europe, Asia-Pacific, and the Rest of the World.

 

Regional Analysis:

The regional analysis of the market consists of regions such as North America, Europe, Asia Pacific, and the Rest of the World. The North American region is leading the automatic content recognition market trailed by the European, and Asia Pacific region. The North American region is presently controlling the market for automatic content recognition.

 

The primary growth in automatic content recognition market in the North American region is accredited to developments in technology and growing adoption of cloud technology and the Internet of Things in the region. The US is the principal country in automatic content recognition market in the region and has produced a revenue worth USD 248.1 million in 2017.

 

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Table of Contents:

1          Executive Summary

2          Scope of the Report

2.1       Market Definition

2.2       Scope of the Study

2.2.1    Research objectives

2.2.2    Assumptions & Limitations

2.3       Markets Structure

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