Summary
Further key aspects of the report indicate that:
Chapter 1: Research Scope: Product Definition, Type, End-Use & Methodology
Chapter 2: Global Industry Summary
Chapter 3: Market Dynamics
Chapter 4: Global Market Segmentation by region, type and End-Use
Chapter 5: North America Market Segmentation by region, type and End-Use
Chapter 6: Europe Market Segmentation by region, type and End-Use
Chapter 7: Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8: South America Market Segmentation by region, type and End-Use
Chapter 9: Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10: Market Competition by Companies
Chapter 11: Market forecast and environment forecast.
Chapter 12: Industry Summary.
The global Automatic Content Recognition (ACR) market has the potential to grow with xx million USD with growing CAGR in the forecast period from 2021f to 2026f. Factors driving the market for @@@@@ are the significant development of demand and improvement of COVID-19 and geo-economics.
Based on the type of product, the global Automatic Content Recognition (ACR) market segmented into
Acoustic & digital video fingerprinting
Digital audio
Video & image watermarking
Optical character recognition
Speech recognition
Based on the end-use, the global Automatic Content Recognition (ACR) market classified into
Media & entertainment
Consumer electronics
E-commerce
Education
Automotive
IT & telecommunication
Healthcare
Defense & public safety
Avionics
Others
Based on geography, the global Automatic Content Recognition (ACR) market segmented into
North America [U.S., Canada, Mexico]
Europe [Germany, UK, France, Italy, Rest of Europe]
Asia-Pacific [China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific]
South America [Brazil, Argentina, Rest of Latin America]
Middle East & Africa [GCC, North Africa, South Africa, Rest of Middle East and Africa]
And the major players included in the report are
Arcsoft (U.S.)
Digimarc Corporation (U.S.)
Google (U.S.)
Microsoft Corporation (U.S.)
Nuance communications (U.S.)
ACRCloud (China)
Audible Magic Corporation (U.S.)
Civolution (U.S.)
Enswers (South Korea)
Gracenote (U.S.)
Mufin GmBH (Germany)
Shazam Entertainment Ltd. (U.K.)
Vobile (U.S.)
Voiceinteraction SA (Portugal)
Beatgrid Media BV (The Netherlands)
Clarifai (U.S.)
DataScouting (Greece)
iPharro Media GmbH (Germany)
Viscovery Pte Ltd (Taiwan)
VoiceBase (U.S.)
Further key aspects of the report indicate that:
Chapter 1: Research Scope: Product Definition, Type, End-Use & Methodology
Chapter 2: Global Industry Summary
Chapter 3: Market Dynamics
Chapter 4: Global Market Segmentation by region, type and End-Use
Chapter 5: North America Market Segmentation by region, type and End-Use
Chapter 6: Europe Market Segmentation by region, type and End-Use
Chapter 7: Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8: South America Market Segmentation by region, type and End-Use
Chapter 9: Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10: Market Competition by Companies
Chapter 11: Market forecast and environment forecast.
Chapter 12: Industry Summary.
The global Automatic Content Recognition (ACR) market has the potential to grow with xx million USD with growing CAGR in the forecast period from 2021f to 2026f. Factors driving the market for @@@@@ are the significant development of demand and improvement of COVID-19 and geo-economics.
Based on the type of product, the global Automatic Content Recognition (ACR) market segmented into
Acoustic & digital video fingerprinting
Digital audio
Video & image watermarking
Optical character recognition
Speech recognition
Based on the end-use, the global Automatic Content Recognition (ACR) market classified into
Media & entertainment
Consumer electronics
E-commerce
Education
Automotive
IT & telecommunication
Healthcare
Defense & public safety
Avionics
Others
Based on geography, the global Automatic Content Recognition (ACR) market segmented into
North America [U.S., Canada, Mexico]
Europe [Germany, UK, France, Italy, Rest of Europe]
Asia-Pacific [China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific]
South America [Brazil, Argentina, Rest of Latin America]
Middle East & Africa [GCC, North Africa, South Africa, Rest of Middle East and Africa]
And the major players included in the report are
Arcsoft (U.S.)
Digimarc Corporation (U.S.)
Google (U.S.)
Microsoft Corporation (U.S.)
Nuance communications (U.S.)
ACRCloud (China)
Audible Magic Corporation (U.S.)
Civolution (U.S.)
Enswers (South Korea)
Gracenote (U.S.)
Mufin GmBH (Germany)
Shazam Entertainment Ltd. (U.K.)
Vobile (U.S.)
Voiceinteraction SA (Portugal)
Beatgrid Media BV (The Netherlands)
Clarifai (U.S.)
DataScouting (Greece)
iPharro Media GmbH (Germany)
Viscovery Pte Ltd (Taiwan)
VoiceBase (U.S.)
Table of Contents
1 RESEARCH SCOPE
1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players
1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL AUTOMATIC CONTENT RECOGNITION (ACR) INDUSTRY
2.1 Summary about Automatic Content Recognition (ACR) Industry
2.2 Automatic Content Recognition (ACR) Market Trends
2.2.1 Automatic Content Recognition (ACR) Production & Consumption Trends
2.2.2 Automatic Content Recognition (ACR) Demand Structure Trends
2.3 Automatic Content Recognition (ACR) Cost & Price
3 MARKET DYNAMICS
3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION
4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)
4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 Acoustic & digital video fingerprinting
4.2.2 Digital audio
4.2.3 Video & image watermarking
4.2.4 Optical character recognition
4.2.5 Speech recognition
4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 Media & entertainment
4.3.2 Consumer electronics
4.3.3 E-commerce
4.3.4 Education
4.3.5 Automotive
4.3.6 IT & telecommunication
4.3.7 Healthcare
4.3.8 Defense & public safety
4.3.9 Avionics
4.3.10 Others
5 NORTH AMERICA MARKET SEGMENT
5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico
5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 Acoustic & digital video fingerprinting
5.2.2 Digital audio
5.2.3 Video & image watermarking
5.2.4 Optical character recognition
5.2.5 Speech recognition
5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 Media & entertainment
5.3.2 Consumer electronics
5.3.3 E-commerce
5.3.4 Education
5.3.5 Automotive
5.3.6 IT & telecommunication
5.3.7 Healthcare
5.3.8 Defense & public safety
5.3.9 Avionics
5.3.10 Others
5.4 Impact of COVID-19 in North America
6 EUROPE MARKET SEGMENTATION
6.1 Region Segmentation (2017 to 2021f)
6.1.1 Germany
6.1.2 UK
6.1.3 France
6.1.4 Italy
6.1.5 Rest of Europe
6.2 Product Type Segmentation (2017 to 2021f)
6.2.1 Acoustic & digital video fingerprinting
6.2.2 Digital audio
6.2.3 Video & image watermarking
6.2.4 Optical character recognition
6.2.5 Speech recognition
6.3 Consumption Segmentation (2017 to 2021f)
6.3.1 Media & entertainment
6.3.2 Consumer electronics
6.3.3 E-commerce
6.3.4 Education
6.3.5 Automotive
6.3.6 IT & telecommunication
6.3.7 Healthcare
6.3.8 Defense & public safety
6.3.9 Avionics
6.3.10 Others
6.4 Impact of COVID-19 in Europe
7 ASIA-PACIFIC MARKET SEGMENTATION
7.1 Region Segmentation (2017 to 2021f)
7.1.1 China
7.1.2 India
7.1.3 Japan
7.1.4 South Korea
7.1.5 Southeast Asia
7.1.6 Australia
7.1.7 Rest of Asia Pacific
7.2 Product Type Segmentation (2017 to 2021f)
7.2.1 Acoustic & digital video fingerprinting
7.2.2 Digital audio
7.2.3 Video & image watermarking
7.2.4 Optical character recognition
7.2.5 Speech recognition
7.3 Consumption Segmentation (2017 to 2021f)
7.3.1 Media & entertainment
7.3.2 Consumer electronics
7.3.3 E-commerce
7.3.4 Education
7.3.5 Automotive
7.3.6 IT & telecommunication
7.3.7 Healthcare
7.3.8 Defense & public safety
7.3.9 Avionics
7.3.10 Others
7.4 Impact of COVID-19 in Europe
8 SOUTH AMERICA MARKET SEGMENTATION
8.1 Region Segmentation (2017 to 2021f)
8.1.1 Brazil
8.1.2 Argentina
8.1.3 Rest of Latin America
8.2 Product Type Segmentation (2017 to 2021f)
8.2.1 Acoustic & digital video fingerprinting
8.2.2 Digital audio
8.2.3 Video & image watermarking
8.2.4 Optical character recognition
8.2.5 Speech recognition
8.3 Consumption Segmentation (2017 to 2021f)
8.3.1 Media & entertainment
8.3.2 Consumer electronics
8.3.3 E-commerce
8.3.4 Education
8.3.5 Automotive
8.3.6 IT & telecommunication
8.3.7 Healthcare
8.3.8 Defense & public safety
8.3.9 Avionics
8.3.10 Others
8.4 Impact of COVID-19 in Europe
9 MIDDLE EAST AND AFRICA MARKET SEGMENTATION
9.1 Region Segmentation (2017 to 2021f)
9.1.1 GCC
9.1.2 North Africa
9.1.3 South Africa
9.1.4 Rest of Middle East and Africa
9.2 Product Type Segmentation (2017 to 2021f)
9.2.1 Acoustic & digital video fingerprinting
9.2.2 Digital audio
9.2.3 Video & image watermarking
9.2.4 Optical character recognition
9.2.5 Speech recognition
9.3 Consumption Segmentation (2017 to 2021f)
9.3.1 Media & entertainment
9.3.2 Consumer electronics
9.3.3 E-commerce
9.3.4 Education
9.3.5 Automotive
9.3.6 IT & telecommunication
9.3.7 Healthcare
9.3.8 Defense & public safety
9.3.9 Avionics
9.3.10 Others
9.4 Impact of COVID-19 in Europe
10 COMPETITION OF MAJOR PLAYERS
10.1 Brief Introduction of Major Players
10.1.1 Arcsoft (U.S.)
10.1.2 Digimarc Corporation (U.S.)
10.1.3 Google (U.S.)
10.1.4 Microsoft Corporation (U.S.)
10.1.5 Nuance communications (U.S.)
10.1.6 ACRCloud (China)
10.1.7 Audible Magic Corporation (U.S.)
10.1.8 Civolution (U.S.)
10.1.9 Enswers (South Korea)
10.1.10 Gracenote (U.S.)
10.1.11 Mufin GmBH (Germany)
10.1.12 Shazam Entertainment Ltd. (U.K.)
10.1.13 Vobile (U.S.)
10.1.14 Voiceinteraction SA (Portugal)
10.1.15 Beatgrid Media BV (The Netherlands)
10.1.16 Clarifai (U.S.)
10.1.17 DataScouting (Greece)
10.1.18 iPharro Media GmbH (Germany)
10.1.19 Viscovery Pte Ltd (Taiwan)
10.1.20 VoiceBase (U.S.)
10.2 Automatic Content Recognition (ACR) Sales Date of Major Players (2017-2020e)
10.2.1 Arcsoft (U.S.)
10.2.2 Digimarc Corporation (U.S.)
10.2.3 Google (U.S.)
10.2.4 Microsoft Corporation (U.S.)
10.2.5 Nuance communications (U.S.)
10.2.6 ACRCloud (China)
10.2.7 Audible Magic Corporation (U.S.)
10.2.8 Civolution (U.S.)
10.2.9 Enswers (South Korea)
10.2.10 Gracenote (U.S.)
10.2.11 Mufin GmBH (Germany)
10.2.12 Shazam Entertainment Ltd. (U.K.)
10.2.13 Vobile (U.S.)
10.2.14 Voiceinteraction SA (Portugal)
10.2.15 Beatgrid Media BV (The Netherlands)
10.2.16 Clarifai (U.S.)
10.2.17 DataScouting (Greece)
10.2.18 iPharro Media GmbH (Germany)
10.2.19 Viscovery Pte Ltd (Taiwan)
10.2.20 VoiceBase (U.S.)
10.3 Market Distribution of Major Players
10.4 Global Competition Segmentation
11 MARKET FORECAST
11.1 Forecast by Region
11.2 Forecast by Demand
11.3 Environment Forecast
11.3.1 Impact of COVID-19
11.3.2 Geopolitics Overview
11.3.3 Economic Overview of Major Countries
12 REPORT SUMMARY STATEMENT
1 RESEARCH SCOPE
1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players
1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL AUTOMATIC CONTENT RECOGNITION (ACR) INDUSTRY
2.1 Summary about Automatic Content Recognition (ACR) Industry
2.2 Automatic Content Recognition (ACR) Market Trends
2.2.1 Automatic Content Recognition (ACR) Production & Consumption Trends
2.2.2 Automatic Content Recognition (ACR) Demand Structure Trends
2.3 Automatic Content Recognition (ACR) Cost & Price
3 MARKET DYNAMICS
3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION
4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)
4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 Acoustic & digital video fingerprinting
4.2.2 Digital audio
4.2.3 Video & image watermarking
4.2.4 Optical character recognition
4.2.5 Speech recognition
4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 Media & entertainment
4.3.2 Consumer electronics
4.3.3 E-commerce
4.3.4 Education
4.3.5 Automotive
4.3.6 IT & telecommunication
4.3.7 Healthcare
4.3.8 Defense & public safety
4.3.9 Avionics
4.3.10 Others
5 NORTH AMERICA MARKET SEGMENT
5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico
5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 Acoustic & digital video fingerprinting
5.2.2 Digital audio
5.2.3 Video & image watermarking
5.2.4 Optical character recognition
5.2.5 Speech recognition
5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 Media & entertainment
5.3.2 Consumer electronics
5.3.3 E-commerce
5.3.4 Education
5.3.5 Automotive
5.3.6 IT & telecommunication
5.3.7 Healthcare
5.3.8 Defense & public safety
5.3.9 Avionics
5.3.10 Others
5.4 Impact of COVID-19 in North America
6 EUROPE MARKET SEGMENTATION
6.1 Region Segmentation (2017 to 2021f)
6.1.1 Germany
6.1.2 UK
6.1.3 France
6.1.4 Italy
6.1.5 Rest of Europe
6.2 Product Type Segmentation (2017 to 2021f)
6.2.1 Acoustic & digital video fingerprinting
6.2.2 Digital audio
6.2.3 Video & image watermarking
6.2.4 Optical character recognition
6.2.5 Speech recognition
6.3 Consumption Segmentation (2017 to 2021f)
6.3.1 Media & entertainment
6.3.2 Consumer electronics
6.3.3 E-commerce
6.3.4 Education
6.3.5 Automotive
6.3.6 IT & telecommunication
6.3.7 Healthcare
6.3.8 Defense & public safety
6.3.9 Avionics
6.3.10 Others
6.4 Impact of COVID-19 in Europe
7 ASIA-PACIFIC MARKET SEGMENTATION
7.1 Region Segmentation (2017 to 2021f)
7.1.1 China
7.1.2 India
7.1.3 Japan
7.1.4 South Korea
7.1.5 Southeast Asia
7.1.6 Australia
7.1.7 Rest of Asia Pacific
7.2 Product Type Segmentation (2017 to 2021f)
7.2.1 Acoustic & digital video fingerprinting
7.2.2 Digital audio
7.2.3 Video & image watermarking
7.2.4 Optical character recognition
7.2.5 Speech recognition
7.3 Consumption Segmentation (2017 to 2021f)
7.3.1 Media & entertainment
7.3.2 Consumer electronics
7.3.3 E-commerce
7.3.4 Education
7.3.5 Automotive
7.3.6 IT & telecommunication
7.3.7 Healthcare
7.3.8 Defense & public safety
7.3.9 Avionics
7.3.10 Others
7.4 Impact of COVID-19 in Europe
8 SOUTH AMERICA MARKET SEGMENTATION
8.1 Region Segmentation (2017 to 2021f)
8.1.1 Brazil
8.1.2 Argentina
8.1.3 Rest of Latin America
8.2 Product Type Segmentation (2017 to 2021f)
8.2.1 Acoustic & digital video fingerprinting
8.2.2 Digital audio
8.2.3 Video & image watermarking
8.2.4 Optical character recognition
8.2.5 Speech recognition
8.3 Consumption Segmentation (2017 to 2021f)
8.3.1 Media & entertainment
8.3.2 Consumer electronics
8.3.3 E-commerce
8.3.4 Education
8.3.5 Automotive
8.3.6 IT & telecommunication
8.3.7 Healthcare
8.3.8 Defense & public safety
8.3.9 Avionics
8.3.10 Others
8.4 Impact of COVID-19 in Europe
9 MIDDLE EAST AND AFRICA MARKET SEGMENTATION
9.1 Region Segmentation (2017 to 2021f)
9.1.1 GCC
9.1.2 North Africa
9.1.3 South Africa
9.1.4 Rest of Middle East and Africa
9.2 Product Type Segmentation (2017 to 2021f)
9.2.1 Acoustic & digital video fingerprinting
9.2.2 Digital audio
9.2.3 Video & image watermarking
9.2.4 Optical character recognition
9.2.5 Speech recognition
9.3 Consumption Segmentation (2017 to 2021f)
9.3.1 Media & entertainment
9.3.2 Consumer electronics
9.3.3 E-commerce
9.3.4 Education
9.3.5 Automotive
9.3.6 IT & telecommunication
9.3.7 Healthcare
9.3.8 Defense & public safety
9.3.9 Avionics
9.3.10 Others
9.4 Impact of COVID-19 in Europe
10 COMPETITION OF MAJOR PLAYERS
10.1 Brief Introduction of Major Players
10.1.1 Arcsoft (U.S.)
10.1.2 Digimarc Corporation (U.S.)
10.1.3 Google (U.S.)
10.1.4 Microsoft Corporation (U.S.)
10.1.5 Nuance communications (U.S.)
10.1.6 ACRCloud (China)
10.1.7 Audible Magic Corporation (U.S.)
10.1.8 Civolution (U.S.)
10.1.9 Enswers (South Korea)
10.1.10 Gracenote (U.S.)
10.1.11 Mufin GmBH (Germany)
10.1.12 Shazam Entertainment Ltd. (U.K.)
10.1.13 Vobile (U.S.)
10.1.14 Voiceinteraction SA (Portugal)
10.1.15 Beatgrid Media BV (The Netherlands)
10.1.16 Clarifai (U.S.)
10.1.17 DataScouting (Greece)
10.1.18 iPharro Media GmbH (Germany)
10.1.19 Viscovery Pte Ltd (Taiwan)
10.1.20 VoiceBase (U.S.)
10.2 Automatic Content Recognition (ACR) Sales Date of Major Players (2017-2020e)
10.2.1 Arcsoft (U.S.)
10.2.2 Digimarc Corporation (U.S.)
10.2.3 Google (U.S.)
10.2.4 Microsoft Corporation (U.S.)
10.2.5 Nuance communications (U.S.)
10.2.6 ACRCloud (China)
10.2.7 Audible Magic Corporation (U.S.)
10.2.8 Civolution (U.S.)
10.2.9 Enswers (South Korea)
10.2.10 Gracenote (U.S.)
10.2.11 Mufin GmBH (Germany)
10.2.12 Shazam Entertainment Ltd. (U.K.)
10.2.13 Vobile (U.S.)
10.2.14 Voiceinteraction SA (Portugal)
10.2.15 Beatgrid Media BV (The Netherlands)
10.2.16 Clarifai (U.S.)
10.2.17 DataScouting (Greece)
10.2.18 iPharro Media GmbH (Germany)
10.2.19 Viscovery Pte Ltd (Taiwan)
10.2.20 VoiceBase (U.S.)
10.3 Market Distribution of Major Players
10.4 Global Competition Segmentation
11 MARKET FORECAST
11.1 Forecast by Region
11.2 Forecast by Demand
11.3 Environment Forecast
11.3.1 Impact of COVID-19
11.3.2 Geopolitics Overview
11.3.3 Economic Overview of Major Countries
12 REPORT SUMMARY STATEMENT
