The global automatic content recognition market was valued at USD 2.03 billion in 2021 and is expected to grow at a CAGR 16.7% during the forecast period. Automatic content recognition is a technological solution embedded into smart televisions or OTT platforms, which identifies the content that one is viewing by selecting small portions of the audio and video and further associating it with the larger database.
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Automatic content recognition is predominantly available in handheld gadgets and in Smart TVs and showcases a key role in the spectator's ad-tracking industry. Automatic content recognition companies are likely to benefit from the Asia Pacific region due to increasing technological advancements, scaling of economies, digitization, and government initiatives. However, a scarcity of trained developers for developing and implementing automatic identification solutions may hamper the industry's growth.
The COVID-19 pandemic influenced the industry and its associated opportunities. The pandemic has triggered a global economic downturn, forcing businesses all around the world to drastically alter their operations. Businesses all over the world are suffering from the COVID-19-induced recession, yet, the impact on the technology industry during the crisis was relatively minor compared to the rest of the economy.
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Growth Drivers
The automatic content recognition market is driven due to increasing usage of smart devices such as smart televisions, smartphones, and smart wearables. This helps in identifying the content, recognizing and enhancing the same. Due to this, many companies and end-users are adopting such services and solutions.
Furthermore, the industry has seen a surge due to the increase in on-demand video services. In today's scenario, people have become very comfortable watching streaming shows on their smart devices through OTT platforms such as Disney Hotstar, Netflix, Youtube, Amazon Prime, and many more. This, resulting in the increased demand for the automatic content recognition market.
The market is primarily segmented based on component, deployment type, technology, organization size, end-use, and region.
By Component |
By Deployment Type |
By Technology |
By Organization Size |
By End-Use |
By Region |
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The solutions segment is expected to occupy the largest share during the forecast period. The solution segment is the largest contributor to the industry. Automatic identification offers solutions such as page views and shares, search rankings, outbound clicks, average time spent on an individual post, and the financial impact of content. These platforms extract data from desktop and mobile viewership, perceptions of certain activities or demographics of users, and evaluations of the most effective content components.
The cloud segment is expected to be the largest market in the automatic content recognition industry. Cloud-based automatic identification allows businesses to make prompt strategic choices.
The cloud market is estimated to grow substantially in the coming years owing to the cost-effectiveness of cloud deployment. Further, the technological advancements in artificial intelligence and the Internet of Things (IoT) and artificial intelligence (AI) will help drive the demand for the industry.
The speech recognition segment is expected to be the largest market in the automatic content recognition industry. This is due to the rising adoption of computational linguistics that is stimulating the demand for such solutions.
The small & medium enterprises segment is expected to experience significant growth during the forecast period. Small & medium enterprises are increasingly adopting these solutions to enhance business performance and efficiency while lowering operational costs.
The IT & telecom segment accounted for a considerable market share during the forecast period. This is due to the increasing adoption of device integration, the Internet of Things (IoT), and wearable devices in the industry. End-to-end IoT solutions are enabled by automatic telecom services, which operate as a single point of interface between numerous nodes inside a network, removing the need for several third-party service providers for system integration.
The industry for telecom automatic content recognition is predicted to develop at a remarkable rate with an increase in IoT adoption. For instance, based on the report of GSMA's The State of Mobile 2021, worldwide, the connection of IoT is estimated to be 25.2 billion by 2025, thereby boosting the market growth during the projection period.
Asia Pacific region is expected to be the fastest-growing region in the automatic content recognition market. Automatic content recognition is experiencing rapid growth due to the adoption of process automation across all industry verticals to enhance customer engagement and increase the effectiveness of IT infrastructure.
The region has a robust IT infrastructure and solid software and service offerings, as well as leadership positions in emerging fields, including robotics, which would provide lucrative growth opportunities for the industry in this region.
Some of the major players operating in the global market include ACRCloud, Apple Inc., Audible Magic, Beatgrid Media BV, Clarifai Inc., Digimarc Corporation, Google Inc., Gracenote, Inc., IBM Corporation, Kudelski Group, KT Corporation, Microsoft Corporation, Nuance Communications, Viscovery Pte Ltd, and Zapr Media Labs. The major companies operating in the global market are introducing new innovative solutions to serve a wider customer base and strengthen global presence. Expansion in developing nations such as China and India offer growth potential for global companies.
In May 2020, IBM Corporation announced an addition to their product portfolio to accelerate digital transformation.
In November 2021, Microsoft Corporation launched innovation to its cloud solution for enhanced supply chain, better advertising, and retail solutions.
Report Attributes |
Details |
Market size value in 2022 |
USD 2.29 billion |
Revenue forecast in 2030 |
USD 7.86 billion |
CAGR |
16.7% from 2022 - 2030 |
Base year |
2021 |
Historical data |
2018 - 2020 |
Forecast period |
2022 - 2030 |
Quantitative units |
Revenue in USD billion and CAGR from 2022 to 2030 |
Segments covered |
By Component, By Deployment Type, By Technology, By Organization Size, By End-User Industry, By Region |
Regional scope |
North America, Europe, Asia Pacific, Latin America; Middle East & Africa |
Key companies |
ACRCloud, Apple Inc., Audible Magic, Beatgrid Media BV, Clarifai Inc., Digimarc Corporation, Google Inc., Gracenote, Inc., IBM Corporation, Kudelski Group, KT Corporation, Microsoft Corporation, Nuance Communications, Viscovery Pte Ltd, and Zapr Media Labs. |