Automatic Content Recognition Market 2017 – Google, Microsoft, ACR Cloud, Digimarc, Arcsoft, Audible Magic, Civolution, Gracenote, Enswers, Beatgrid Media, Clarifai

Source: SAT Press Releases
Automatic Content Recognition Market

 Global Automatic Content Recognition Market, by Technology (Speech recognition, Digital watermark, Passive fingerprinting), by Application (Industrial, Media & Entertainment, Game industry, Education, Advertising) – Forecast 2022

Market research future published a Half-cooked research report on Global Automatic Content Recognition Market that contains the information from 2016 to 2022.

Industry News:
• ACR Cloud has done an announcement on February 2016 about its partnership with Xiaomi to integrate music recognition technology with MIUI. The end-consumers will be now able to stream and download the songs from their music library.

• Digimarc Corporation has done an announcement on July 2016 about its partnership with Diadeis, one of the leaders in design industries. The partnership is done to provide certified barcode provider to Digimarc. This Digimarc barcode will provide easy scanning at checkout and check-ins, and other valuable mobile engagement.

Key Players
• Arcsoft, Inc. (U.S.)
• Digimarc Corporation (U.S.)
• Microsoft Corporation (U.S.)
• ACR Cloud (China)
• Audible Magic Corporation (U.S.)
• Civolution (U.S.)
• Gracenote, Inc.(U.S.)
• Enswers, Inc. (South Korea)
• Google, Inc. (U.S.)
• Beatgrid Media BV (Netherlands)
• Clarifai Inc. (U.S.)

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Segments
Segmentation by Technology:
o Passive Fingerprinting
o Speech Recognition
o Digital Watermarks

Segmentation by Applications:
o Broadcast industry
o Media & Entertainment
o Advertising
o Industrial
o Game industry
o Consumer electronics
o Education

Objective Study of Automatic Content Recognition Market:
• To provide detailed analysis of the market structure along with forecast for the next 10 years of the various segments and sub-segments of the global Automatic Content Recognition Market.

• To provide insights about factors affecting the market growth.

• To Analyze the Automatic Content Recognition Market based on various factors- porters five force analysis, mega trend analysis, macroeconomic indicators etc.

• To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, and Rest of the World (ROW).

• To provide country level analysis of the market with respect to the current market size and future prospective

• To provide country level analysis of the market for segment by technology, by applications and sub-segments.

• To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market

• To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global Automatic Content Recognition Market.

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Market Scenario
The major growth driver of Automatic Content Recognition Market includes growing consumer electronics and wearable device market, rise in deployment of automatic content recognition in media & entertainment industries, and growing digital technology among others.
Hence the market for Automatic Content Recognition is expected to grow at XX% CAGR (2016-2022).
However, technology limitation and lack of awareness about the technology is one of the factors which are hindering the growth of Automatic Content Recognition Market.

Regional Analysis of Automatic Content Recognition Market:
North-America is dominating the Global Automatic Content Recognition Market with the largest market share due to presence of advanced and developed media industry in the region, and therefore accounting for $XX million and is expected to grow over $XX billion by 2022. Automatic Content Recognition Market in Asia-Pacific market is expected to grow at CAGR of XX% from $ XX million in 2016 to $XX million by 2022. The European market for Automatic Content Recognition Market is expected to grow at XX% CAGR (2016-2022).

Table of Content
1. Report prologue
2. Introduction
2.1 Definition
2.2 Scope of the study
2.2.1 Research objective
2.2.2 Assumptions
2.2.3 Limitations
2.3 Market structure

3. Research Methodology
3.1 Research process
3.2 Primary research
3.3 Secondary research
3.4 Market size estimation
3.5 Forecast model

4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
4.4 Challenges
4.5 Macroeconomic Indicators

5. Market factor analysis
5.1 Value chain analysis/Supply chain analysis
5.2 Porters five forces
5.2.1. Bargaining Power of suppliers
5.2.2. Bargaining Power of Customer
5.2.3. Intensity of Competitor’s
5.2.4. Threat of New Entrants
5.2.5 Threat of Substitutes

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.

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