Published: November 2023 | Report Code: 12770 | Available Format: PDF | Pages: 190
The global automatic content recognition market generated revenue of USD 2,540.8 million in the year 2023, and it is set to reach USD 5,961.6 million by 2030, with a CAGR of 13.0% from 2024 to 2030.
This market is driven by the rising adoption of smart devices, including smartphones and tablets. This technology helps users achieve the seamless synchronization of data from multiple devices, by sharing information on the content being played. This further helps content creators and advertisers analyze viewers’ engagement and deliver the relevant content, which ultimately improves viewers’ experiences.
Additionally, the integration of this technology into the content streaming applications, including YouTube, Disney+, Amazon Prime Video, Netflix, Hulu, and Peacock, running on smart TVs, smartphones, laptops, and PCs is helping users engage more easily, by identifying and recognizing stuff they earlier watched or heard and then recommending similar content. In this regard, the rise of over-the-top (OTT) content streaming platforms is fueling the adoption of ACR solutions.
Moreover, the increasing demand for personalized and targeted advertising techniques due to the rise in the consumption of digital media further creates a demand for ACR solutions. This technology helps advertisers know their target customers better and optimize their advertising campaigns, which further boosts customer engagement and increases conversion rates. In addition, this technology generates enormous amounts of important analytical data related to users’ consumption patterns, viewing behaviors, and demography, which further helps broadcasters and content providers make data-driven decisions on their advertising strategies.
Furthermore, the integration of AI, ML, and computer vision is improving the automatic content recognition technology, by increasing its accuracy and efficiency in recognizing and classifying content across various platforms. AI and ML help analyze data and make more-accurate predictions, based on viewing patterns, to, ultimately, improve users’ experiences. Thus, all these advantages of the ACR technology are powering the industry advance by delivering personalized experiences and valuable analytics.
On the basis of component, the solutions category holds the larger market share, of 70%, because of the rising adoption of internet-connected video and audio streaming platforms. Hardware components the data from which is gathered and analyze by ACR solutions include smartphones, computers, laptops, and smart TVs, which capture audio, video, text, and image content. The associated software uses applications based on AI algorithms and ML models to extract meaningful information, by analyzing the insightful data, and store it in secure repositories. The advancements in AI & ML have led to improvements in the accuracy and efficiency of ACR systems, allowing them to understand and recognize the content better.
The services category is also contributing significantly to the automatic content recognition market, because of the rising need for experts to obtain managed and professional services. As they possess the expertise to provide valuable insights by analyzing data on consumer and industry trends, businesses are able to make data-driven decisions to improve content offerings, find target customers, and improve user experiences, by tracking and monitoring content.
The speech recognition technology holds the largest market share, driven by the rising adoption of smart devices around the world to simplify tasks, get easier access to content, and remotely control a range of home appliances. The speech recognition technology enables automatic content recognition systems to categorize content, improved user experiences, personalize recommendations, and offer multilingual support and real-time processing capabilities. These solutions also automate the devices, by integrating voice-activated functionalities into them.
Additionally, the audio and video watermarking technology is significantly contributing to the advance of the domain, as these functionalities play an important role in various applications, such as content protection, copyrighting, audience measurement, targeted advertising, broadcast monitoring, and interactive experience recommendations. A watermark is a mark, logo, or electronic identifier embedded into audio or video content that enables ACR systems to easily identify and track the specific content.
The audio and video fingerprinting technology’s contribution to the market is also rising rapidly. This is primarily driven by the unique digital signatures it creates for audio and video files for easily identifying users’ content choices and offering them suitable recommendations. This further helps detect the unauthorized usage and distribution of copyrighted material, thereby boosting monetization opportunities and enhancing user experiences.
Furthermore, the optical character recognition technology uses advanced algorithms to extract text from images and documents, by scanning it. This way, ACR systems transform it into a readable form for machines. Its searchability, editability, accessibility, and translatability enable ACR systems to easily analyze or understand content in different media formats. Therefore, this technology finds application in many industries, such as BFSI, legal, education, retail & e-commerce, and healthcare.
The cloud deployment mode has captured the larger market share globally, as it offers scalability, which allows automatic content recognition solutions to handle large amounts of data. Further, it provides flexibility, which improves remote access and collaboration. Cloud-based content recognition solutions are also cost-effective, as this mode overcomes the need for expensive IT infrastructure. The powerful processing capabilities of cloud-based ACR software offer improved accuracy and speed of automatic content recognition.
In addition, the collaboration of different cloud-based service providers, such as AWS, Azure, and Google Cloud, with ACR solution developers improves the performance of these solutions across different industries, including media & entertainment, BFSI, consumer electronics, retail & e-commerce, education, automotive, IT & telecommunications, healthcare, government & defense, and aerospace & aviation.
Market Size in 2023
USD 2,540.8 Million
Market Size in 2024
USD 2,861.5 Million
Revenue Forecast in 2030
USD 5,961.6 Million
Market Trends, Drivers, and Restraints; Revenue Estimation and Forecast; Segmentation Analysis; Impact of COVID-19; Companies’ Strategic Developments; Market Share Analysis of Key Players; Company Profiling
By Component; By Technology; By Platform; By Deployment Mode; By Organization Size; By Application; By End User; By Region
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Large enterprises generated the higher revenue, of USD 1.6 billion, in the year 2023, and they will grow at a higher CAGR, of 13.3%, during the forecast period.
This is primarily driven by the rising investments in advanced technologies to reduce human error, such as automatic content recognition solutions & services, by large enterprises. Moreover, they are increasingly using ACR integrated with advanced algorithms for research, in order to find ways to increase their revenue.
Additionally, these enterprises have large facilities and resources, and, further, they invest in testing and validation practices for their ACR solutions. They can also afford to have multiple high-value partnerships and collaborations with content providers, broadcasters, and streaming platforms to integrate ACR capabilities into their offerings. For instance, in May 2023, Samsung announced that it is going to make two significant investments in its data analysis capabilities, to track the number of people that view streaming advertisements on its TV Plus, which supports free ads. The other investment is in a research study that would allow advertisers to place their promotions on both linear and streaming platforms.
Small & medium enterprises are expected to be the faster-growing category during the forecast period, due to the burgeoning broadcasting and advertisement industry. As the global demand for consumer electronics, media & entertainment, education, and retail & e-commerce services rises rapidly, SMEs are making concrete efforts to improvise their IT infrastructure. Their specialized solutions and services cater to the specific needs of their targeted customers, which makes them accessible to a wide range of organizations, such as education, consumer electronics, and retail & e-commerce.
The advertisement targeting & pricing category is witnessing a quick advance in the application segment. By applying ACR technologies for targeted advertisements and pricing, companies can improve their audience segmentation by analyzing viewer experiences based on their preferences and behaviors. This ultimately allows them to reach the right audience with personalized ads or offer the best pricing deal.
Essentially, the rapid rise in the number of viewers on linear TV, connected TV, OTT, and other platforms has created a boom in the application of automatic content recognition systems for advertisement targeting & pricing. The key purpose of using ACR for this application is enhancing revenue by analyzing how much customers are willing to pay for a service.
The media & entertainment sector accounted for the highest revenue, of USD 0.5 billion, in 2023, due to the growing incorporation of the ACR technology into OTT platforms, such as Netflix, Amazon Prime, Disney+, Hulu, and YouTube, and social networking platforms, such as Instagram, Snapchat, and Tinder. This technology easily identifies content, such as TV shows, movies, music, and advertisements, by analyzing audio or video signals and further provides suggestions and personalized content recommendations based on the searches made by users on their platforms.
Moreover, ACR solutions recognize the audio and video fingerprinting of a growing amount of content, to verify authenticity and copyright compliances, for the assurance of fair revenue generations. Thus, the growing need of this industry to provide interactive content and foster community engagement, by enhancing their viewers’ social TV experiences, propels the market's growth.
Consumer electronics is expected to be the fastest-growing end user category during the forecast period, driven by the rapid rise in the adoption of smartphones, smart TVs, wearables, and several other connected devices. Additionally, several large TV manufacturers, such as LG, Samsung, and VIZIO, have ramped up their advertising businesses to increase their revenue, as the ads business has an infinite potential. These OEMs aim to enhance user experiences by offering personalized recommendations and interactive features, by analyzing viewing behaviors.
Regionally, North America held the largest share, of 45%, in 2023, in the global market. This is primarily attributed to the growing adoption of automatic content recognition solutions & services by several industries in the region, with the increasing investments in advanced technologies, such as AI/ML, IoT, and big data analytics.
In addition, the presence of a highly developed media & entertainment industry, content creators, leading streaming platforms, broadcasters, and global players fuels the market’s growth. Further, smart gadgets have witnessed high sales in the region of late, which ultimately drives the market by allowing companies to use ACR solutions to gather data on content consumption for analysis.
The U.S. is the leader in the North American region owing to the presence of global players, such as Google and Apple, who are utilizing big data to cater to the market and go beyond the completion. Further, the U.S. FTC’s regulations support innovations in the ACR domain.
Moreover, APAC will be the fastest-growing region in the automatic content recognition market, with a CAGR of 13.5%, during 2024–2030. This is due to the growing adoption of process automation in various sectors, such as media & entertainment, BFSI, consumer electronics, retail & e-commerce, education, automotive, IT & telecommunication, and government & defense. Another key driver is the presence of a huge base of users of smart devices, which support various applications that transfer data to companies, so they can analyze it using ACR systems and offer users the best possible recommendations.
In addition, India, Japan, South Korea, and China have a huge potential to propel the market due to the presence of global consumer electronics players, such as Samsung and LG, who have already adopted TV advertising strategies to boost their revenue.
This fully customizable report gives a detailed analysis of the automatic content recognition industry from 2017 to 2030, based on all the relevant segments and geographies.
Based on Component
Based on Technology
Based on Platform
Based on Deployment Mode
Based on Organization Type
Based on Application
Based on End User
The market for automatic content recognition solutions will reach USD 5,961.6 million by 2030.
Which is the biggest trend in the automatic content recognition market?
AI, ML, and big data analytics are trending in the market for automatic content recognition solutions.
The media & entertainment sector holds the largest share in the automatic content recognition industry.
North America is the largest and APAC the fastest-growing market for automatic content recognition solutions.
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