Automatic Content Recognition Market Research, 2031
The global automatic content recognition market was valued at $2.2 billion in 2021, and is projected to reach $11.4 billion by 2031, growing at a CAGR of 18.2% from 2022 to 2031.
Automatic Content Recognition (ACR) is the technology to detect and identify the content played in media. In addition, it processes and compares the media with the source file which identifies the uniqueness of the content. Moreover, the technology is generally used for content enhancement, content recognition, voice and speech recognition broadcast monitoring, and audience measurement.
Rising use of smart devices and content streaming services and growing Integration of ACR in Smartphones and Wearable Devices drive the growth of the automatic content recognition market. In addition, growing number of hosted automatic content recognition solution providers fuels the growth of the automatic content recognition market. However, increasing security concerns is expected to impede the automatic content recognition market growth. Furthermore, increase in adoption of AI, ML and NLP technologies is expected to provide lucrative opportunities for the automatic content recognition market growth.
The automatic content recognition market is segmented into Offering, Platform Type, Technology, Deployment Mode, Application, Enterprise Size, Industry Vertical and Content Type.
The global automatic content recognition market is segmented based on offering, platform type, technology, deployment mode, application, enterprise size, industry vertical, content type, and geography. By offering, it is divided into solution and service. By platform type, it is fragmented into, connected TVs, linear TVs, OTT applications, and others. In terms of technology, the market is classified into audio and video fingerprinting, audio and video watermarking, speech recognition and others. In terms of deployment mode, the market is classified into on-premise and cloud. By application, it is divided into audience measurement, broadcast monitoring, advertisement targeting and pricing, content management, and others. By enterprise size, it is classified into large enterprise and SME’s. In terms of industrial vertical, it is bifurcated into consumer electronics, media and entertainment, automotive, retail and e-commerce, IT and telecom, education and others. By content type, it is classified into Video, Audio and Others. By geography, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The major players operating in the automatic content recognition market are ACRCloud, ArcSoft, Audible Magic, Apple, Digimarc Corporation, Google, Gracenote, IBM Corporation, KT Corporation, Kudelski Group, Microsoft Corporation, Nuance Communication, Inc., VoiceBase, Vobile, VoiceInteraction, Beatgrid Media B.V., Clarifai. These players have adopted various strategies to increase their market penetration and strengthen their position in the automatic content recognition industry.
In terms of offering, the solution segment holds the largest automatic content recognition market share in the forecast period, owing to it increase the operational efficiency of the entire media firms network even with low infrastructure investment. However, the service segment is expected to grow at the highest rate during the forecast period owing to, rapid adoption of advanced technologies for innovating smart services.
Region wise, the automatic content recognition market size was dominated by North America in 2021 and is expected to retain its position during the forecast period, owing to increasing investment in research & development activity with respect to automatic content recognition technology. However, Asia-Pacific is expected to witness significant growth during the forecast period, due to the rising technological advancement, across economically developing countries to enable smart devices.
COVID-19 Impact Analysis
The automatic content recognition industry has witnessed stable growth during the COVID-19 pandemic, owing to rise in demand for internet usage in the pandemic, rose sale of communication platform and growing urbanization. In addition, the COVID-19 pandemic has resulted in changes in model performance, as more continuous monitoring and validation is required to mitigate various types of risks, compared to static validation and testing methods, which, in turn, drive the demand for ACR solutions. In addition, with rapid digital transformation, various governments have introduced stringent regulations to protect end users data such as General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Thus, governments in various countries have taken strict actions toward the defaulters of COVID-19 regulations, and ACR solution is helping in gathering insights from data.
Top Impacting Factors
Rise in use of smart devices and content streaming services
With the rise in the number of smart devices such as smartphones, TVs, and wearables and growing need of smart devices among the companies & end users for content identification, recognition, and enhancement is driving the growth of the market. In addition, various businesses are rapidly adopting automatic content recognition solutions and services, to reduce advertising costs and to find their target customer. Furthermore, many companies across the globe are launching music recognition application for smart TVs and smartphones to protect the music producers from copywrite issues, which is enhancing the growth of the market. Moreover, the rise of on-demand video services, such as Netflix, Hotstar, Amazon Prime, and YouTube, is driving the demand for automatic content recognition solution and services.
Growth in Integration of ACR in Smartphones and Wearable Devices
Growing integration of automatic content recognition technology to determine the advertisements people are viewing is driving the market growth. In addition, in recent years, it’s branched out into an international market, creating new opportunities to use strategies that have already run their course in the U.S. Moreover, increasing deployment of automatic content recognition by the media companies for applications such as audience measurement and broadcast monitoring and in wearable devices such as smart watches and fitness bands is anticipated to raise the global automatic content recognition market growth.
Key Benefits For Stakeholders
- This report provides a quantitative analysis of the Automatic Content Recognition Market Forecast, current trends, estimations, and dynamics of the automatic content recognition market analysis from 2021 to 2031 to identify the prevailing automatic content recognition market opportunities.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the automatic content recognition market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global automatic content recognition market trends, key players, market segments, application areas, and market growth strategies.
Automatic Content Recognition Market Report Highlights
| Aspects | Details |
 Market Size By 2031 | USD 11.4 billion |
 Growth Rate | CAGR of 18.2% |
 Forecast period | 2021 - 2031 |
 Report Pages | 333 |
 By Offering |
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 By Platform Type |
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 By Technology |
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 By Deployment Mode |
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 By Application |
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 By Enterprise Size |
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 By Industry Vertical |
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 By Content Type |
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 By Region |
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 Key Market Players | Apple, Audible Magic, VoiceInteraction, IBM Corporation, Microsoft Corporation, Digimarc Corporation, VoiceBase, KT Corporation, ArcSoft, Nuance Communication, Inc., Vobile, Google, Kudelski Group, ACRCloud, Nuance Communications, Gracenote, Beatgrid Media B.V. |
Analyst Review
Automatic content recognition (ACR) is an identification technology that is used to verify the content played on a media device or present in a media file. In addition, the devices containing ACR support enable users to quickly obtain additional information about the content the user has just experienced without any user-based input or search effort. Moreover, ACR can be used to identify on-screen content and to sync with other automatic content recognition enabled devices, such as tablets and phones.
The global automatic content recognition market is expected to register high growth due to constant advancements in content recognition technology and rapid adoption of content recognition solutions across various industries. With growth in requirement for automatic content recognition, various companies have established alliance to increase their capabilities. For instance, in May 2022, Tremor International Ltd. Partnered with VIDAA to help Tremor's technology platform gain exclusive access to VIDAA's automatic content recognition ('ACR') data, across the globe.
In addition, with rise in demand for automatic content recognition, various companies have expanded their current product portfolio. For instance, in August 2022, Kyndryl partnered with JCB to launch an AI-based interactive automatic speech response system to further improve customer satisfaction and service quality.
Moreover, with increase in competition, major market players have started acquisition of small size companies to expand their market penetration and reach. For instance, in April 2021, Roku acquired Nielsen’s Advanced Video Advertising business, which offers Nielsen’s automatic content recognition (ACR) and dynamic ad insertion (DAI) technologies. With the acquisition, Roku is expected to launch an end-to-end DAI solution with TV programmers and further integrate Nielsen products into the Roku platform.
Rising use of smart devices and content streaming services and growing Integration of ACR in Smartphones and Wearable Devices drive the growth of the automatic content recognition market. In addition, growing number of hosted automatic content recognition solution providers fuels the growth of the automatic content recognition market.
Region wise, the automatic content recognition market size was dominated by North America in 2021 and is expected to retain its position during the forecast period, owing to increasing investment in research & development activity with respect to automatic content recognition technology.
The global automatic content recognition market was valued at $2.14 billion in 2021, and is projected to reach $11.38 billion by 2031, registering a CAGR of 18.2% from 2022 to 2031.
The major players operating in the automatic content recognition market are ACRCloud, ArcSoft, Audible Magic, Apple, Digimarc Corporation, Google, Gracenote, IBM Corporation, KT Corporation, Kudelski Group, Microsoft Corporation, Nuance Communication, Inc., VoiceBase, Vobile, VoiceInteraction, Beatgrid Media B.V., Clarifai. These players have adopted various strategies to increase their market penetration and strengthen their position in the automatic content recognition industry.
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