Automatic Content Recognition Market: By Solution (Audio, Video and Image Recognition, Voice, Real Time Content Analytics), By Service (Professional, Managed), End User (IT & Telecommunication, Healthcare) – Global Forecast till 2023

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    [title] => Automatic Content Recognition Market: By Solution (Audio, Video and Image Recognition, Voice, Real Time Content Analytics), By Service (Professional, Managed), End User (IT & Telecommunication, Healthcare) – Global Forecast till 2023
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    [seo_url] => automatic-content-recognition-market-global-forecast-till-2023
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    [meta_title] => Automatic Content Recognition Market: By Solution (Audio, Video and Image Recognition, Voice, Real Time Content Analytics), By Service (Professional, Managed), End User (IT & Telecommunication, Health
    [keyword] => Automatic Content Recognition Market: By Solution (Audio, Video and Image Recognition, Voice, Real Time Content Analytics), By Service (Professional, Managed), End User (IT & Telecommunication, Healthcare) – Global Forecast till 2023
    [description] => Introduction Automatic content recognition (ACR) is a technique used by an application to identify a content element within a close distance. These techniques are most commonly used in televisions, smartphones,
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    [published_date] => 2019-02-01
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    [page_num] => 84
    [abstract] => 

Introduction
Automatic content recognition (ACR) is a technique used by an application to identify a content element within a close distance. These techniques are most commonly used in televisions, smartphones, and tablets nowadays. By making use of watermark technology or fingerprinting technology, ACR helps in dynamic and seamless interlinking of applications, content, devices and viewers. ACR is poised to power the majority of these next generation interactive applications.

ACR is an emerging technology that is widely used to capture and identify digital content, across devices connected to internet. The automatic content recognition technology generally works on certain algorithms that identify and capture the content. This content is often in the form of an image, video clip or an audio note. The major technologies being used to identify the content include fingerprinting, watermarking, and speech recognition. Many companies provide these technologies integrated within a mobile application. Advertising, media & entertainment, and consumer electronics are the leading end-users of the automatic content recognition technology. The applications of automatic content recognition include content enhancement, content identification, real-time audience measurement, and broadcast monitoring.

The global automatic content recognition market is expected to grow at 27.2% CAGR during the forecast period, 2017–2023. In 2017, the market was led by North America, followed by Europe and Asia-Pacific, respectively. There have been developments in the media and advertising industry, considering the recognition of content and personalizing the output. Shazam, allows the users to identify any music played in the background and display matching results. Another great example of content recognition is Google Images, wherein the user can upload any image and get search results based on the content recorded in the image.

The global automatic content recognition market has been segmented on the basis of technology, end-user application, and region. Of all the technologies, speech recognition held the largest market share of 42.5% in 2017, with a market value of USD 452.1 million, which is projected to grow at a CAGR of 28.3% during the forecast period. On the basis of end-user application, advertising, media and entertainment held the largest market share of 24.5% in 2017, with a market value of USD 261 million, which is projected to grow at the highest CAGR of 29.3%.

The major companies offering software, and services in automatic content recognition market, across the globe include Arcsoft Inc, Digimarc Corporation, Microsoft Corporation, ARC Cloud, Audible Magic Corporation, Clarifai Inc, Enswers Inc, Beatgrid Media B.V, and Shazam Entertainment. These companies had adopted organic and inorganic market growth strategies, such as new product development, product enhancement, partnerships and collaborations, and mergers and acquisitions, to enhance their customer base and the number of content recognition products.

Key Players
The key players in the global automatic content recognition market are Arcsoft Inc, Digimarc Corporation, Microsoft Corporation, ARC Cloud, Audible Magic Corporation, Clarifai Inc, Enswers Inc, Beatgrid Media B.V, and Shazam Entertainment.

Global Automatic content recognition Market Analysis and Forecast, 2018–2023
• To provide detailed analysis of the market structure along with forecast for the next 6 years of various segments and sub-segments of the automatic content recognition market
• To provide insights about factors affecting the market growth
• To analyze the global automatic content recognition market based on various tools such as Supply Chain Analysis, and Porter’s Five Force Analysis
• To provide historical and forecast revenue of the market segments and sub-segments with respect to regions and their respective key countries
• 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 segments by technology, end-user application, and region
• 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 automatic content recognition market

Target Audience
• Technology Investors
• Research/Consultancy firms
• Technology Solution Providers
• Government Bodies
• E-commerce companies
• Original Equipment Manufacturers

Key Findings
• The global automatic content recognition market is expected to reach USD 4.50 billion by 2023.
• By technology, speech recognition accounted for the largest market value of USD 452.1 million in 2017 and is projected to grow at a CAGR of 28.3% during the forecast period. Passive fingerprinting was the second largest market in 2017 and it is projected to grow at a CAGR of 25.4%.
• By end-user application, advertising, media & entertainment accounted for the largest market value of USD 261.0 million in 2017 and is projected to grow at a CAGR of 29.3% during the forecast period. Consumer electronics was the second largest market in 2017 and it is projected to grow at a CAGR of 28.7%
• By region, North America accounted for the largest market value of USD 388 million in 2017 and is projected to grow at a CAGR of 26.9% during the forecast period. Europe was the second largest market in 2017 and it is projected to grow at a CAGR of 27.4%.


Regional and Country-Level Analysis of the Automatic content recognition Market, Estimation and Forecast
North America is expected to be the largest revenue generating market for ACR during the forecast period. This growth is attributed to the increasing advancement in the technologies, such as artificial intelligence, and the growing adoption rate of cloud and IoT, among SMEs and large enterprises. Asia-Pacific is the fastest growing market for automatic content recognition. China and India have key contribution in the revenue generation of the market due to the increasing awareness regarding emerging technologies and investment by key players in the countries, such as India, Singapore, and Indonesia.

The report also offers a brief country-level analysis for the various regional markets.
• North America
o US
o Canada
o Mexico
• Europe
o UK
o Germany
o France
o Rest of Europe
• Asia-Pacific
o China
o Japan
o India
o Rest of Asia-Pacific
• Rest of the World
o Middle East & Africa
o South America

[table_of_contents] =>



1 Executive Summary
2 Market Introduction
2.1 Definition
2.2 Scope of the Study
2.3 List of Assumptions
2.4 Market Structure
3 Market Insights
4 Research Methodology
4.1 Research Process
4.2 Primary Research
4.3 Secondary Research
4.4 Market Size Estimation
4.5 Forecast Model
5 Market Dynamics
5.1 Introduction
5.2 Drivers
5.2.1 Increasing adoption of ACR in smart TVs
5.2.2 Increasing deployment of ACR technologies by media industry
5.3 Opportunities
5.3.1 Integration of IoT, analytics, and artificial intelligence
5.4 Restraints
5.4.1 Concerns regarding privacy and data security
5.5 Value Chain Analysis
5.5.1 Software/Algorithm Developers
5.5.2 System Integrators
5.5.3 Service Providers
5.5.4 End-Users
5.6 Porter’s Five Forces Model
5.6.1 Threat of New Entrants
5.6.2 Bargaining Power of Software Suppliers
5.6.3 Bargaining Power of End-Users
5.6.4 Threat of Substitutes
5.6.5 Intensity of Rivalry
6 Global Automatic Content Recognition Market, By Technology
6.1 Overview
6.1.1 Passive Fingerprinting
6.1.2 Speech Recognition
6.1.3 Digital Watermarks
7 Global Automatic Content Recognition Market, By End-User Application
7.1 Overview
7.1.1 Broadcasting Industry
7.1.2 Advertising, Media & Entertainment
7.1.3 Industrial
7.1.4 Gaming
7.1.5 Consumer Electronics
7.1.6 Education
7.1.7 Others
8 Automatic Content Recognition Market, By Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 U.K
8.3.3 France
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Rest of the World
8.5.1 The Middle East & Africa
8.5.2 Latin America
9 Competitive Landscape
9.1 Competitive Landscape Overview
9.2 Competitive Benchmarking
10 Company Profiles
10.1 Arcsoft, Inc.
10.1.1 Company Overview
10.1.2 Products Offerings
10.1.3 Business Strategy
10.2 Digimarc Corporation
10.2.1 Company Overview
10.2.2 Financial Overview
10.2.3 Products/Solution Offerings
10.2.4 Key Developments
10.2.5 SWOT Analysis
10.2.6 Business Strategy
10.3 Microsoft Corporation
10.3.1 Company Overview
10.3.2 Products Offerings
10.3.3 Financial Overview
10.3.4 SWOT Analysis
10.3.5 Business Strategy
10.4 ACR Cloud
10.4.1 Company Overview
10.4.2 Products Offerings
10.4.3 Key Developments
10.5 Audible Magic Corporation
10.5.1 Company Overview
10.5.2 Products Offerings
10.6 Clarifai Inc.
10.6.1 Company Overview
10.6.2 Products Offerings
10.6.3 Key Developments
10.7 Enswers, Inc.
10.7.1 Company Overview
10.7.2 Technology/Service Offerings
10.7.3 Key Developments
10.8 Beatgrid Media B.V.
10.8.1 Company Overview
10.8.2 Products Offerings
10.9 Shazam Entertainment Ltd.
10.9.1 Company Overview
10.9.2 Products Offerings
11 Conclusion
11.1 Key Findings
11.1.1 Key Companies to Watch
12 Appendix
12.1 Discussion Blue Print

[list_of_tables] =>



TABLE 1 MARKET SYNOPSIS
TABLE 2 LIST OF ASSUMPTIONS
TABLE 3 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 4 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2017-2023 (USD MILLION)
TABLE 5 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 6 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 7 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 8 U.S.: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 9 U.S.: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 10 CANADA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 11 CANADA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 12 MEXICO: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 13 MEXICO: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 14 EUROPE AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 15 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 16 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 17 GERMANY: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 18 GERMANY: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 19 U.K: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 20 U.K: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 21 FRANCE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 22 FRANCE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 23 REST OF EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 24 REST OF EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 25 ASIA PACIFIC AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 26 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 27 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 28 CHINA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 29 CHINA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 30 JAPAN: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 31 JAPAN: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 32 INDIA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 33 INDIA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 34 REST OF ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 35 REST OF ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 36 REST OF THE WORLD AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 37 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 38 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 39 THE MIDDLE EAST & AFRICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 40 THE MIDDLE EAST & AFRICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 41 LATIN AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 42 LATIN AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)

[list_of_figures] =>



FIGURE 1 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET: MARKET STRUCTURE
FIGURE 2 NORTH AMERICA MARKET SIZE & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 3 EUROPE MARKET SIZE & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 4 ASIA PACIFIC & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 5 REST OF THE WORLD MARKET SIZE & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 6 RESEARCH PROCESS OF MRFR
FIGURE 7 TOP DOWN & BOTTOM UP APPROACH
FIGURE 8 DRIVERS, OPPORTUNITIES AND RESTRAINT ANALYSIS OF GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET
FIGURE 9 VALUE CHAIN: AUTOMATIC CONTENT RECOGNITION MARKET
FIGURE 10 PORTERS FIVE FORCES ANALYSIS OF THE GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET
FIGURE 11 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 12 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
FIGURE 13 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 14 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2017 TO 2023 (USD MILLION)
FIGURE 15 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 16 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTRY, 2017 TO 2023 (USD MILLION)
FIGURE 17 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 18 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 19 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 20 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017 TO 2023 (USD MILLION)
FIGURE 21 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 22 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 23 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 24 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 25 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 26 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 27 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017 TO 2023 (USD MILLION)
FIGURE 28 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 29 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 30 BENCHMARKING OF MAJOR COMPETITORS

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Introduction
Automatic content recognition (ACR) is a technique used by an application to identify a content element within a close distance. These techniques are most commonly used in televisions, smartphones, and tablets nowadays. By making use of watermark technology or fingerprinting technology, ACR helps in dynamic and seamless interlinking of applications, content, devices and viewers. ACR is poised to power the majority of these next generation interactive applications.

ACR is an emerging technology that is widely used to capture and identify digital content, across devices connected to internet. The automatic content recognition technology generally works on certain algorithms that identify and capture the content. This content is often in the form of an image, video clip or an audio note. The major technologies being used to identify the content include fingerprinting, watermarking, and speech recognition. Many companies provide these technologies integrated within a mobile application. Advertising, media & entertainment, and consumer electronics are the leading end-users of the automatic content recognition technology. The applications of automatic content recognition include content enhancement, content identification, real-time audience measurement, and broadcast monitoring.

The global automatic content recognition market is expected to grow at 27.2% CAGR during the forecast period, 2017–2023. In 2017, the market was led by North America, followed by Europe and Asia-Pacific, respectively. There have been developments in the media and advertising industry, considering the recognition of content and personalizing the output. Shazam, allows the users to identify any music played in the background and display matching results. Another great example of content recognition is Google Images, wherein the user can upload any image and get search results based on the content recorded in the image.

The global automatic content recognition market has been segmented on the basis of technology, end-user application, and region. Of all the technologies, speech recognition held the largest market share of 42.5% in 2017, with a market value of USD 452.1 million, which is projected to grow at a CAGR of 28.3% during the forecast period. On the basis of end-user application, advertising, media and entertainment held the largest market share of 24.5% in 2017, with a market value of USD 261 million, which is projected to grow at the highest CAGR of 29.3%.

The major companies offering software, and services in automatic content recognition market, across the globe include Arcsoft Inc, Digimarc Corporation, Microsoft Corporation, ARC Cloud, Audible Magic Corporation, Clarifai Inc, Enswers Inc, Beatgrid Media B.V, and Shazam Entertainment. These companies had adopted organic and inorganic market growth strategies, such as new product development, product enhancement, partnerships and collaborations, and mergers and acquisitions, to enhance their customer base and the number of content recognition products.

Key Players
The key players in the global automatic content recognition market are Arcsoft Inc, Digimarc Corporation, Microsoft Corporation, ARC Cloud, Audible Magic Corporation, Clarifai Inc, Enswers Inc, Beatgrid Media B.V, and Shazam Entertainment.

Global Automatic content recognition Market Analysis and Forecast, 2018–2023
• To provide detailed analysis of the market structure along with forecast for the next 6 years of various segments and sub-segments of the automatic content recognition market
• To provide insights about factors affecting the market growth
• To analyze the global automatic content recognition market based on various tools such as Supply Chain Analysis, and Porter’s Five Force Analysis
• To provide historical and forecast revenue of the market segments and sub-segments with respect to regions and their respective key countries
• 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 segments by technology, end-user application, and region
• 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 automatic content recognition market

Target Audience
• Technology Investors
• Research/Consultancy firms
• Technology Solution Providers
• Government Bodies
• E-commerce companies
• Original Equipment Manufacturers

Key Findings
• The global automatic content recognition market is expected to reach USD 4.50 billion by 2023.
• By technology, speech recognition accounted for the largest market value of USD 452.1 million in 2017 and is projected to grow at a CAGR of 28.3% during the forecast period. Passive fingerprinting was the second largest market in 2017 and it is projected to grow at a CAGR of 25.4%.
• By end-user application, advertising, media & entertainment accounted for the largest market value of USD 261.0 million in 2017 and is projected to grow at a CAGR of 29.3% during the forecast period. Consumer electronics was the second largest market in 2017 and it is projected to grow at a CAGR of 28.7%
• By region, North America accounted for the largest market value of USD 388 million in 2017 and is projected to grow at a CAGR of 26.9% during the forecast period. Europe was the second largest market in 2017 and it is projected to grow at a CAGR of 27.4%.


Regional and Country-Level Analysis of the Automatic content recognition Market, Estimation and Forecast
North America is expected to be the largest revenue generating market for ACR during the forecast period. This growth is attributed to the increasing advancement in the technologies, such as artificial intelligence, and the growing adoption rate of cloud and IoT, among SMEs and large enterprises. Asia-Pacific is the fastest growing market for automatic content recognition. China and India have key contribution in the revenue generation of the market due to the increasing awareness regarding emerging technologies and investment by key players in the countries, such as India, Singapore, and Indonesia.

The report also offers a brief country-level analysis for the various regional markets.
• North America
o US
o Canada
o Mexico
• Europe
o UK
o Germany
o France
o Rest of Europe
• Asia-Pacific
o China
o Japan
o India
o Rest of Asia-Pacific
• Rest of the World
o Middle East & Africa
o South America



1 Executive Summary
2 Market Introduction
2.1 Definition
2.2 Scope of the Study
2.3 List of Assumptions
2.4 Market Structure
3 Market Insights
4 Research Methodology
4.1 Research Process
4.2 Primary Research
4.3 Secondary Research
4.4 Market Size Estimation
4.5 Forecast Model
5 Market Dynamics
5.1 Introduction
5.2 Drivers
5.2.1 Increasing adoption of ACR in smart TVs
5.2.2 Increasing deployment of ACR technologies by media industry
5.3 Opportunities
5.3.1 Integration of IoT, analytics, and artificial intelligence
5.4 Restraints
5.4.1 Concerns regarding privacy and data security
5.5 Value Chain Analysis
5.5.1 Software/Algorithm Developers
5.5.2 System Integrators
5.5.3 Service Providers
5.5.4 End-Users
5.6 Porter’s Five Forces Model
5.6.1 Threat of New Entrants
5.6.2 Bargaining Power of Software Suppliers
5.6.3 Bargaining Power of End-Users
5.6.4 Threat of Substitutes
5.6.5 Intensity of Rivalry
6 Global Automatic Content Recognition Market, By Technology
6.1 Overview
6.1.1 Passive Fingerprinting
6.1.2 Speech Recognition
6.1.3 Digital Watermarks
7 Global Automatic Content Recognition Market, By End-User Application
7.1 Overview
7.1.1 Broadcasting Industry
7.1.2 Advertising, Media & Entertainment
7.1.3 Industrial
7.1.4 Gaming
7.1.5 Consumer Electronics
7.1.6 Education
7.1.7 Others
8 Automatic Content Recognition Market, By Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 U.K
8.3.3 France
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Rest of the World
8.5.1 The Middle East & Africa
8.5.2 Latin America
9 Competitive Landscape
9.1 Competitive Landscape Overview
9.2 Competitive Benchmarking
10 Company Profiles
10.1 Arcsoft, Inc.
10.1.1 Company Overview
10.1.2 Products Offerings
10.1.3 Business Strategy
10.2 Digimarc Corporation
10.2.1 Company Overview
10.2.2 Financial Overview
10.2.3 Products/Solution Offerings
10.2.4 Key Developments
10.2.5 SWOT Analysis
10.2.6 Business Strategy
10.3 Microsoft Corporation
10.3.1 Company Overview
10.3.2 Products Offerings
10.3.3 Financial Overview
10.3.4 SWOT Analysis
10.3.5 Business Strategy
10.4 ACR Cloud
10.4.1 Company Overview
10.4.2 Products Offerings
10.4.3 Key Developments
10.5 Audible Magic Corporation
10.5.1 Company Overview
10.5.2 Products Offerings
10.6 Clarifai Inc.
10.6.1 Company Overview
10.6.2 Products Offerings
10.6.3 Key Developments
10.7 Enswers, Inc.
10.7.1 Company Overview
10.7.2 Technology/Service Offerings
10.7.3 Key Developments
10.8 Beatgrid Media B.V.
10.8.1 Company Overview
10.8.2 Products Offerings
10.9 Shazam Entertainment Ltd.
10.9.1 Company Overview
10.9.2 Products Offerings
11 Conclusion
11.1 Key Findings
11.1.1 Key Companies to Watch
12 Appendix
12.1 Discussion Blue Print


List Of Tables



TABLE 1 MARKET SYNOPSIS
TABLE 2 LIST OF ASSUMPTIONS
TABLE 3 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 4 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2017-2023 (USD MILLION)
TABLE 5 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 6 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 7 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 8 U.S.: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 9 U.S.: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 10 CANADA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 11 CANADA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 12 MEXICO: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 13 MEXICO: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 14 EUROPE AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 15 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 16 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 17 GERMANY: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 18 GERMANY: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 19 U.K: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 20 U.K: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 21 FRANCE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 22 FRANCE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 23 REST OF EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 24 REST OF EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 25 ASIA PACIFIC AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 26 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 27 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 28 CHINA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 29 CHINA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 30 JAPAN: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 31 JAPAN: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 32 INDIA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 33 INDIA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 34 REST OF ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 35 REST OF ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 36 REST OF THE WORLD AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
TABLE 37 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 38 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 39 THE MIDDLE EAST & AFRICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 40 THE MIDDLE EAST & AFRICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)
TABLE 41 LATIN AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
TABLE 42 LATIN AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017-2023 (USD MILLION)


List Of Figures



FIGURE 1 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET: MARKET STRUCTURE
FIGURE 2 NORTH AMERICA MARKET SIZE & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 3 EUROPE MARKET SIZE & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 4 ASIA PACIFIC & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 5 REST OF THE WORLD MARKET SIZE & MARKET SHARE BY COUNTRY (2017 VS 2023)
FIGURE 6 RESEARCH PROCESS OF MRFR
FIGURE 7 TOP DOWN & BOTTOM UP APPROACH
FIGURE 8 DRIVERS, OPPORTUNITIES AND RESTRAINT ANALYSIS OF GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET
FIGURE 9 VALUE CHAIN: AUTOMATIC CONTENT RECOGNITION MARKET
FIGURE 10 PORTERS FIVE FORCES ANALYSIS OF THE GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET
FIGURE 11 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 12 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017-2023 (USD MILLION)
FIGURE 13 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 14 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2017 TO 2023 (USD MILLION)
FIGURE 15 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 16 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTRY, 2017 TO 2023 (USD MILLION)
FIGURE 17 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 18 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 19 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 20 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017 TO 2023 (USD MILLION)
FIGURE 21 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 22 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 23 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 24 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 25 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 26 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET SHARE, BY COUNTRY, 2017 (% SHARE)
FIGURE 27 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2017 TO 2023 (USD MILLION)
FIGURE 28 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2017 TO 2023 (USD MILLION)
FIGURE 29 REST OF THE WORLD: AUTOMATIC CONTENT RECOGNITION MARKET, BY END-USER APPLICATION, 2017 TO 2023 (USD MILLION)
FIGURE 30 BENCHMARKING OF MAJOR COMPETITORS


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