Global Automatic Content Recognition Market, By Component (Solution, Services), Technology (Acoustic and Digital Video Fingerprinting, Digital Audio, Video, and Image Watermarking, Optical Character Recognition, Speech Recognition), End User (Media and Entertainment, Consumer Electronics, E-Commerce, Education, Automotive, IT and Telecommunication, Healthcare, Defense and Public Safety, Avionics, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028.
Automatic Content Recognition Market Analysis and Insights
Automatic content recognition market size is valued at USD 21.98 billion by 2028 is expected to grow at a compound annual growth rate of 29.65% in the forecast period of 2021 to 2028. Data Bridge Market Research report on automatic content recognition provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.
Automatic content recognition is an identification technique implemented through software to identify content elements on a media device or within a close distance. This method involves algorithms that evaluate and route the contents with characteristics of image, audio and video with real-time data.
The rising deployment of automatic content recognition technologies by media companies for applications such as audience measurement and broadcast monitoring has been directly influencing the growth of automatic content recognition market over the forecast period of 2021 to 2028. Also the growing deployment of automatic content recognition technology in electronics such as display devices, smart TV, smartphones, and wearable’s is also flourishing the growth of the automatic content recognition market. In addition, the rising need among the companies to understand the consumer behavior and increasing number of hosted automatic content recognition solution providers are also positively impacting the growth of the market. Furthermore, the income generation opportunities by executing automatic content recognition systems such as interactivity, personalization and socialization to television oriented organizations are also largely lifting the growth of the automatic content recognition market.
However, the privacy and security constraints and growing need of additional bandwidth and large server infrastructure for applying automatic content recognition are acting as the major limitations for the growth of automatic content recognition in the forecast period of 2021 to 2028, whereas the various complexity of devising content recognition algorithms have the potential to challenge the growth of the automatic content recognition market.
Likewise, the developing concept of contextual advertising, enhanced contextual experiences, contextual commerce and spoiler-proof social feeds along with incorporation of IoT, analytics, and artificial intelligence with automatic content recognition will further cater ample new opportunities that will lead to the growth of the automatic content recognition market in the above mentioned forecasted period.
This automatic content recognition market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on automatic content recognition market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Automatic Content Recognition Market Scope and Market Size
Automatic content recognition market is segmented on the basis of component, technology and end user. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of component, the automatic content recognition market is segmented into solution and services. Solution have further been segmented into audio, video, and image recognition, voice and speech recognition, real-time content analytics, security and copyright management, data management and metadata, content aggregation, processing, filtering, and enhancement, encoding and transcoding, broadcast and media monitoring, media synchronization and audience measurement. Services have further been segmented into professional services, managed services and value-added services. Professional services are further sub-segmented into consulting services, integration and deployment services and support services.
- Based on technology, the automatic content recognition market is segmented into acoustic and digital video fingerprinting, digital audio, video, and image watermarking, optical character recognition and speech recognition.
- Automatic content recognition market is also segmented on the basis of end user into media and entertainment, consumer electronics, e-commerce, education, automotive, IT and telecommunication, healthcare, defense and public safety, avionics and others. Others are further sub-segmented into manufacturing, government, travel and hospitality, food and beverage, commercial and others.
Automatic Content Recognition Market Country Level Analysis
Automatic content recognition market is analyzed and market size, volume information is provided by country, component, technology and end user as referenced above.
The countries covered in the automatic content recognition market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA)as a part of Middle East and Africa (MEA).
North America leads the automatic content recognition market due to the increasing media and entertainment industry in the region. Asia-Pacific is expected to expand at a significant growth rate over the forecast period of 2021 to 2028 owing to rapid technological advancement as well as the growing digitalization and rising preferences towards smart devices by individuals in countries such as China, Japan and India in the region.
The country section of the automatic content recognition market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Automatic Content Recognition Market Share Analysis
Automatic content recognition market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to automatic content recognition market.
The major players covered in the automatic content recognition market report are Digimarc Corporation, Google, ArcSoft Corporation Limited, Microsoft, Nuance Communications, Inc., ACR Cloud, Audible Magic Corporation, IBM Corporation, Gracenote, Inc., ivitec, VOBILE, INC, BEATGRID MEDIA B.V., VoiceInteraction, Kantar Media UK Ltd., Apple Inc., Gracenote, Inc., MuleSoft LLC, Clarifai, Inc., Datascouting and mufin GmbH among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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