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Global Automatic Content Recognition Market Opportunities and Forecast 2023-2030

  •   DLR1916
  •   May, 2024
  •   Pages: 120
  •  Global

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

Automatic Content Recognition Market Segment

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.

Automatic Content Recognition Market Study Global Market Analysis, Insights and Forecast, 2020-2027

    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
      *Similar details will be provided for the following companies
      • 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.
      List of Figures

      Figure 1: Global Automatic Content Recognition Market Revenue Breakdown (USD Billion, %) by Region, 2019 & 2027
      Figure 2: Global Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 3: Global Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 4: Global Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 5: Global Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 6: Global Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 7: Global Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 8: Global Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 9: Global Automatic Content Recognition Market Forecast (USD Billion), by Others, 2016-2027
      Figure 10: Global Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 11: Global Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 12: Global Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 13: Global Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 14: Global Market Forecast (USD Billion), by Others, 2016-2027
      Figure 15: Global Market Value (USD Billion), by Region, 2019 & 2027
      Figure 16: North America Automatic Content Recognition Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 17: North America Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 18: North America Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 19: North America Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 20: North America Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 21: North America Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 22: North America Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 23: North America Market Forecast (USD Billion), by Others, 2016-2027
      Figure 24: North America Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 25: North America Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 26: North America Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 27: North America Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 28: North America Market Forecast (USD Billion), by Others, 2016-2027
      Figure 29: North America Market Forecast (USD Billion), by U.S., 2016-2027
      Figure 30: North America Market Forecast (USD Billion), by Canada, 2016-2027
      Figure 31: Latin America Automatic Content Recognition Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 32: Latin America Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 33: Latin America Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 34: Latin America Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 35: Latin America Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 36: Latin America Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 37: Latin America Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 38: Latin America Market Forecast (USD Billion), by Others, 2016-2027
      Figure 39: Latin America Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 40: Latin America Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 41: Latin America Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 42: Latin America Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 43: Latin America Market Forecast (USD Billion), by Others, 2016-2027
      Figure 44: Latin America Market Forecast (USD Billion), by Brazil, 2016-2027
      Figure 45: Latin America Market Forecast (USD Billion), by Mexico, 2016-2027
      Figure 46: Latin America Market Forecast (USD Billion), by Rest of Latin America, 2016-2027
      Figure 47: Europe Automatic Content Recognition Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 48: Europe Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 49: Europe Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 50: Europe Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 51: Europe Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 52: Europe Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 53: Europe Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 54: Europe Market Forecast (USD Billion), by Others, 2016-2027
      Figure 55: Europe Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 56: Europe Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 57: Europe Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 58: Europe Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 59: Europe Market Forecast (USD Billion), by Others, 2016-2027
      Figure 60: Europe Market Forecast (USD Billion), by U.K., 2016-2027
      Figure 61: Europe Market Forecast (USD Billion), by Germany, 2016-2027
      Figure 62: Europe Market Forecast (USD Billion), by France, 2016-2027
      Figure 63: Europe Market Forecast (USD Billion), by Italy, 2016-2027
      Figure 64: Europe Market Forecast (USD Billion), by Spain, 2016-2027
      Figure 65: Europe Market Forecast (USD Billion), by Russia, 2016-2027
      Figure 66: Europe Market Forecast (USD Billion), by Rest of Europe, 2016-2027
      Figure 67: Asia Pacific Automatic Content Recognition Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 68: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 69: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 70: Asia Pacific Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 71: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 72: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 73: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 74: Asia Pacific Market Forecast (USD Billion), by Others, 2016-2027
      Figure 75: Asia Pacific Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 76: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 77: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 78: Asia Pacific Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 79: Asia Pacific Market Forecast (USD Billion), by Others, 2016-2027
      Figure 80: Asia Pacific Market Forecast (USD Billion), by China, 2016-2027
      Figure 81: Asia Pacific Market Forecast (USD Billion), by India, 2016-2027
      Figure 82: Asia Pacific Market Forecast (USD Billion), by Japan, 2016-2027
      Figure 83: Asia Pacific Market Forecast (USD Billion), by Australia, 2016-2027
      Figure 84: Asia Pacific Market Forecast (USD Billion), by Southeast Asia, 2016-2027
      Figure 85: Asia Pacific Market Forecast (USD Billion), by Rest of Asia Pacific, 2016-2027
      Figure 86: Middle East & Africa Automatic Content Recognition Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 87: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 88: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 89: Middle East & Africa Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 90: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 91: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 92: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 93: Middle East & Africa Market Forecast (USD Billion), by Others, 2016-2027
      Figure 94: Middle East & Africa Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 95: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 96: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 97: Middle East & Africa Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 98: Middle East & Africa Market Forecast (USD Billion), by Others, 2016-2027
      Figure 99: Middle East & Africa Market Forecast (USD Billion), by GCC, 2016-2027
      Figure 100: Middle East & Africa Market Forecast (USD Billion), by South Africa, 2016-2027
      Figure 101: Middle East & Africa Market Forecast (USD Billion), by Rest of Middle East & Africa, 2016-2027 
      List of Tables
      Table 1: Global Automatic Content Recognition Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 2: Global Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 3: Global Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 4: Global Market Revenue (USD Billion) Forecast, by Region, 2016-2027
      Table 5: North America Automatic Content Recognition Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 6: North America Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 7: North America Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 8: North America Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 9: Europe Automatic Content Recognition Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 10: Europe Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 11: Europe Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 12: Europe Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 13: Latin America Automatic Content Recognition Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 14: Latin America Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 15: Latin America Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 16: Latin America Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 17: Asia Pacific Automatic Content Recognition Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 18: Asia Pacific Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 19: Asia Pacific Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 20: Asia Pacific Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 21: Middle East & Africa Automatic Content Recognition Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 22: Middle East & Africa Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 23: Middle East & Africa Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 24: Middle East & Africa Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Research Process

      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

      research-methodology1

      Primary Research

      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 Research

      Secondary 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 Estimation

      Both, 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

      research-methodology2