Automatic Content Recognition Market Overview
Automatic content recognition (ACR) is a technology that recognises content that is played on a media device or present in a media file. With any user-based input or search efforts, devices with ACR capability allow users to instantly receive extra information about the content they see. The global Automatic Content Recognition market is expected to rise at considerable rate in the forthcoming years.
The constant introduction of new technologies is one of the most significant reason to expand the growth of the Automatic Content Recognition market steadily. Moreover, The substantial increase in the use of automatic content recognition in smart TVs and several second screen devices, such as wearable devices and smartphones, are boosting the growth of this market substantially. Furthermore, the rising installation of automatic content recognition solutions in media enterprises for several applications, such as broadcast monitoring and audience measurement, are the key driving aspects for the growth of this market.
On the negative side, Privacy and Security act as a major restraint for the growth of automatic content recognition market. However, owing to these privacy concerns several television companies are providing option to manually turn off the TV snooping feature.
| Report Metric | Details |
| Market size available for years | 2023–2030 |
| Base year considered | 2023 |
| Forecast period | 2024–2030 |
| Forecast unit | Value (USD Million) |
| Segments covered | Application, Technology, End-User, and Region |
| Regions covered | North America (the U.S. and Canada), Europe (UK, Germany, France, Italy, Spain, Russia, Rest of Europe), Asia-Pacific (China, India, Japan, Australia, South East Asia, Rest of Asia Pacific), Latin America and the Middle East and Africa (Brazil, Saudi Arabia, UAE, Rest of LAMEA) |
| Companies covered | Audible Magic, muffin Gmbh, Gracenote, Inc., Viant Technology LLC., Datascouting, ivitec GmbH, Viscovery, VoiceBase, Inc., ACR cloud, Clarifai Inc., Nuance Communications, Inc. |
Covid-19 Impact on Automatic Content Recognition Market
Like many other industries, COVID-19 badly knocked the electronic and semiconductor industries. This unprecedented event has impacted nearly 230 countries in just a few weeks, resulting in the forced shutdown of manufacturing and transportation activities within and across the countries. This has directly affected the overall sector's growth. It is estimated that COVID-19 to leave more than USD 30 billion impacts on the electronics and semiconductor industry. The sector is majorly affected due to transport restrictions on major electronics and semiconductor raw material providers. However, the emerging need for semiconductors in several industries will offer rapid market recovery over the future period.
Automatic Content Recognition Market Segment Overview
According to End-User, the Media and Entertainment is one of the leading segments in the global Automatic Content Recognition market. Further, the Consumer Electronics is the fastest-growing segment in this market as the electronics manufacturing companies are increasingly embedding ACR technology in the smart devices such as TVs, and mobile handsets.
Automatic Content Recognition Market, By Application
· Content Identification
· Broadcast Monitoring
· Content Enhancement
· Audience Measurement
· Others
Automatic Content Recognition Market, By Technology
· Passive Finger- Prints
· Digital Watermarks
· Others
Automatic Content Recognition Market, By End-User
· Media and Entertainment
· Defense and Public Safety
· e-commerce
· Consumer Electronics
· Education
· IT and Telecommunication
· Automotive
· Healthcare
· Avionics Industries
Automatic Content Recognition Market Regional Overview
Geographically, North America and Europe are expected to lead the global Automatic Content Recognition market. This is due to growing investment in research & development activity with respect to automatic content recognition technology. On the other hand, Asia pacific region is anticipated to grow at a substantial rate in the forthcoming years. This is because of the rising adoption of automatic content recognition software by prominent companies in this region.
Automatic Content Recognition Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, Russia & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Automatic Content Recognition Market Competitor overview
Some key developments and strategies adopted by manufacturers in Automatic Content Recognition are highlighted below.
· In October 2021, VideoAmp and VIZIO announced a newly formed agreement in support of VideoAmp’s cross-screen measurement and currency solution. VideoAmp will maintain access and continue to use VIZIO’s Inscape Automatic Content Recognition (ACR) data from more than 18M opted-in VIZIO Smart TVs for planning, measurement and TV ad sales use cases. The newly extended relationship, which was previously slated to expire at the end of 2021, will now run through the end of 2025 with an option for VideoAmp to extend.
Automatic Content Recognition Market, Key Players
· Audible Magic
· muffin Gmbh
· Gracenote, Inc.
· Viant Technology LLC.
· Datascouting
· ivitec GmbH
· Viscovery
· VoiceBase, Inc.
· ACR cloud
· Clarifai Inc.
· Nuance Communications, Inc.
Frequently Asked Questions (FAQ) :
Q1. What are the driving factors for the Automatic Content Recognition market?
The constant introduction of new technologies is one of the most significant reason to expand the growth of the Automatic Content Recognition market steadily.
Q2. What are the restraining factors for the Automatic Content Recognition market?
Privacy and security act as a major restraint for the growth of automatic content recognition market.
Q3. Which Segments are covered in the Automatic Content Recognition market report?
Application, Technology, End-User, and Region, these segments are covered in the Automatic Content Recognition market report.
Q4. Which segment is projected to hold the largest share in the Automatic Content Recognition Market. ?
Media and Entertainment segment is projected to hold the largest share in the Automatic Content Recognition Market.
Q5. Which are the prominent players in the Automatic Content Recognition Market?
Audible Magic, muffin Gmbh, Gracenote, Inc., Viant Technology LLC., Datascouting, ivitec GmbH, Viscovery, VoiceBase, Inc., ACR cloud, Clarifai Inc., Nuance Communications, Inc. are some key players in the Automatic Content Recognition Market.
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Automatic Content Recognition Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Application
- 5.2.1. Content Identification
- 5.2.2. Broadcast Monitoring
- 5.2.3. Content Enhancement
- 5.2.4. Audience Measurement
- 5.2.5. Others
- 5.3. Market Analysis, Insights and Forecast – By Technology
- 5.3.1. Passive Finger- Prints
- 5.3.2. Digital Watermarks
- 5.3.3. Others
- 5.4. Market Analysis, Insights and Forecast – By End-User
- 5.4.1. Media and Entertainment
- 5.4.2. Defense and Public Safety
- 5.4.3. e-commerce
- 5.4.4. Consumer Electronics
- 5.4.5. Education
- 5.4.6. IT and Telecommunication
- 5.4.7. Automotive
- 5.4.8. Healthcare
- 5.4.9. Avionics Industries
- 5.5. Market Analysis, Insights and Forecast – By Region
- 5.5.1. North America
- 5.5.2. Europe
- 5.5.3. Asia Pacific
- 5.5.4. Latin America, Middle East and Africa
6. North America Automatic Content Recognition Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Application
- 6.2.1. Content Identification
- 6.2.2. Broadcast Monitoring
- 6.2.3. Content Enhancement
- 6.2.4. Audience Measurement
- 6.2.5. Others
- 6.3. Market Analysis, Insights and Forecast – By Technology
- 6.3.1. Passive Finger- Prints
- 6.3.2. Digital Watermarks
- 6.3.3. Others
- 6.4. Market Analysis, Insights and Forecast – By End-User
- 6.4.1. Media and Entertainment
- 6.4.2. Defense and Public Safety
- 6.4.3. e-commerce
- 6.4.4. Consumer Electronics
- 6.4.5. Education
- 6.4.6. IT and Telecommunication
- 6.4.7. Automotive
- 6.4.8. Healthcare
- 6.4.9. Avionics Industries
- 6.5. Market Analysis, Insights and Forecast – By Country
- 6.5.1. U.S.
- 6.5.2. Canada
7. Europe Automatic Content Recognition Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Application
- 7.2.1. Content Identification
- 7.2.2. Broadcast Monitoring
- 7.2.3. Content Enhancement
- 7.2.4. Audience Measurement
- 7.2.5. Others
- 7.3. Market Analysis, Insights and Forecast – By Technology
- 7.3.1. Passive Finger- Prints
- 7.3.2. Digital Watermarks
- 7.3.3. Others
- 7.4. Market Analysis, Insights and Forecast – By End-User
- 7.4.1. Media and Entertainment
- 7.4.2. Defense and Public Safety
- 7.4.3. e-commerce
- 7.4.4. Consumer Electronics
- 7.4.5. Education
- 7.4.6. IT and Telecommunication
- 7.4.7. Automotive
- 7.4.8. Healthcare
- 7.4.9. Avionics Industries
- 7.5. Market Analysis, Insights and Forecast – By Country
- 7.5.1. UK
- 7.5.2. Germany
- 7.5.3. France
- 7.5.4. Italy
- 7.5.5. Spain
- 7.5.6. Russia
- 7.5.7. Rest of Europe
8. Asia Pacific Automatic Content Recognition Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Application
- 8.2.1. Content Identification
- 8.2.2. Broadcast Monitoring
- 8.2.3. Content Enhancement
- 8.2.4. Audience Measurement
- 8.2.5. Others
- 8.3. Market Analysis, Insights and Forecast – By Technology
- 8.3.1. Passive Finger- Prints
- 8.3.2. Digital Watermarks
- 8.3.3. Others
- 8.4. Market Analysis, Insights and Forecast – By End-User
- 8.4.1. Media and Entertainment
- 8.4.2. Defense and Public Safety
- 8.4.3. e-commerce
- 8.4.4. Consumer Electronics
- 8.4.5. Education
- 8.4.6. IT and Telecommunication
- 8.4.7. Automotive
- 8.4.8. Healthcare
- 8.4.9. Avionics Industries
- 8.5. Market Analysis, Insights and Forecast – By Country
- 8.5.1. China
- 8.5.2. India
- 8.5.3. Japan
- 8.5.4. Australia
- 8.5.5. South East Asia
- 8.5.6. Rest of Asia Pacific
9. Latin America, Middle East and Africa Automatic Content Recognition Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Application
- 9.2.1. Content Identification
- 9.2.2. Broadcast Monitoring
- 9.2.3. Content Enhancement
- 9.2.4. Audience Measurement
- 9.2.5. Others
- 9.3. Market Analysis, Insights and Forecast – By Technology
- 9.3.1. Passive Finger- Prints
- 9.3.2. Digital Watermarks
- 9.3.3. Others
- 9.4. Market Analysis, Insights and Forecast – By End-User
- 9.4.1. Media and Entertainment
- 9.4.2. Defense and Public Safety
- 9.4.3. e-commerce
- 9.4.4. Consumer Electronics
- 9.4.5. Education
- 9.4.6. IT and Telecommunication
- 9.4.7. Automotive
- 9.4.8. Healthcare
- 9.4.9. Avionics Industries
- 9.5. Market Analysis, Insights and Forecast – By Country
- 9.5.1. Brazil
- 9.5.2. Saudi Arabia
- 9.5.3. UAE
- 9.5.4. Rest of LAMEA
10. Competitive Analysis
- 10.1. Company Market Share Analysis, 2018
- 10.2. Key Industry Developments
- 10.3. Company Profile
- 10.4. Audible Magic
- 10.4.1. Business Overview
- 10.4.2. Segment 1 & Service Offering
- 10.4.3. Overall Revenue
- 10.4.4. Geographic Presence
- 10.4.5. Recent Development
- 10.5. muffin Gmbh
- 10.6. Gracenote, Inc.
- 10.7. Viant Technology LLC.
- 10.8. Datascouting
- 10.9. ivitec GmbH
- 10.10. Viscovery
- 10.11. VoiceBase, Inc.
- 10.12. ACR cloud
- 10.13. Clarifai Inc.
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
