This report studies the global Automatic Content Recognition market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Automatic Content Recognition market by companies, region, type and end-use industry.

Automatic content recognition (ACR) is an identification technology to recognize content played on a media device or present in a media file. Devices containing ACR support enable users to quickly obtain additional information about the content they have just experienced without any user-based input or search efforts.
North America is expected to account for the largest share of the overall automatic content recognition market in 2018 due to technological advancement and developed media & entertainment industry in the region. Europe stands second in terms of market share. APAC is the fastest growing region during the forecast period. The high growth rate in APAC is attributed to the increasing technological adoption and growing number of ACR technology enabled smart devices in countries such as China, Japan, Australia, and India.
In 2017, the global Automatic Content Recognition market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

This report focuses on the global top players, covered
Arcsoft
Digimarc
Google
Microsoft
Nuance Communications
ACR Cloud
Audible Magic
Civolution (Kantar Media)
Enswers
Gracenote
Mufin
Shazam Entertainment
Vobile
Voiceinteraction
Beatgrid Media

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India

Market segment by Type, the product can be split into
Acoustic & digital video fingerprinting
Digital audio, video & image watermarking
Optical character recognition
Speech recognition

Market segment by Application, split into
Consumer Electronics
E-commerce
Education
Automotive
IT & telecommunication
Healthcare
Defense & public safety
Avionics
Others

The study objectives of this report are:
To study and forecast the market size of Automatic Content Recognition in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.

In this study, the years considered to estimate the market size of Automatic Content Recognition are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Key Stakeholders
Automatic Content Recognition Manufacturers
Automatic Content Recognition Distributors/Traders/Wholesalers
Automatic Content Recognition Subcomponent Manufacturers
Industry Association
Downstream Vendors

Available Customizations
With the given market data, QYResearch offers customizations according to the company's specific needs. The following customization options are available for the report:
Regional and country-level analysis of the Automatic Content Recognition market, by end-use.
Detailed analysis and profiles of additional market players.