Global Automatic Content Recognition Market Insights and Forecast to 2028

Automatic Content Recognition Market Statistics 2028

The global Automatic Content Recognition market size is projected to reach US$ 4879.5 million by 2028, from US$ 1543.8 million in 2021, at a CAGR of 17.4% during 2022-2028. Key drivers of the automatic content recognition market include the growing demand for automatic content recognition in consumer electronics.

The increasing emergence of artificial intelligence, NLP, and machine learning technology will boost the growth of the market during the forecast period.

Automatic Content Recognition Market Trends

Consumer electronics

Automatic content recognition or ACR technology is built into smart TVs, mobile phones, and video streaming platforms. They identify the content down to the individual elements of the video. It helps marketers analyze content consumption behavior. It determines what type of platform is being used, the location addresses, viewing behavior, ad completion rates, and content preferences. Acoustic fingerprinting identifies songs, tunes, and radio broadcasts by reading frequencies, sound spectrum, amplitudes, and tempo to identify the unique characteristics of a signal. Whereas video fingerprinting analyzes the video clips sliced off from the original video and compares them to pieces made from an already available database. Brands use ACR in smart TV screens and connected devices to amplify their targeting, digital reach, and content streaming. Such factors will boost the growth of the automatic content recognition market during the forecast period. 

The advent of technologies like AI, ML, and NLP

Huge amounts of data are generated daily. This had augmented the use of artificial intelligence, machine learning, and NLP technologies for gaining real-time insights into the collected data. Data analysis is enhanced through graphs and charts. There are two models available that is the acoustic model and the language model. The acoustic part solves the problem of converting sound signals into a phonetic representation. The language model consists of sentence structure and grammar. They are based on artificial neural network links using machine learning algorithms. Aligning the sounds is of utmost importance. Using artificial intelligence the pitch of the sound and frequency can be analyzed deeply. The feature extraction reduces the dimensionality of the data and eliminates unwarranted noise from the system. Deep neural networks have become the go-to speech models that deliver highly accurate results. These factors will boost the growth of the automatic content recognition market during the forecast period. 

Existence of loopholes

There are key challenges involved in the automatic content recognition procedure. Digital watermarking involves placing the watermark directly in the content which ultimately creates a distraction in the media file. This tampers the quality of the original file. This makes the work harder for companies handling automatic recognition systems.  Such factors will hamper the growth prospects of the market in the forthcoming years. Moreover, the prevalence of petabytes and exabytes of data has increased incidences of data breaching and security risks. Real-time secure data is a must for presenting an outstanding customer experience. Every gateway, endpoint, sensor, and smartphone has become a prime target spot for hackers. 

Automatic Content Recognition Market Share Analysis

Based on type, the acoustic and digital video fingerprinting segment will grow the highest in the automatic content recognition market share due to the growing adoption of Ml techniques for faster extraction of data which is easy to use, cost-effective, and highly accurate.

Based on application, the consumer electronics segment will grow the highest in the automatic content recognition market share due to the growing need for identifying and monetizing the viewer experience of customers by several marketing companies. 

Based on region, North America will witness considerable growth in the automatic content recognition market share due to the presence of key players and rapid technological developments. Europe stands second in terms of market share. APAC is the fastest growing region during the forecast period. The high growth rate in APAC is attributed to the increasing technological adoption and growing number of ACR technology enabled smart devices in countries such as China, Japan, Australia, and India.

Segment by Type

• Acoustic & Digital Video Fingerprinting
• Digital Audio, Video & Image Watermarking
• Optical Character Recognition
• Speech Recognition

Segment by Application

• Consumer Electronics
• E-Commerce
• Education
• Automotive
• IT & Telecommunication
• Healthcare
• Defense & Public Safety
• Avionics
• Others

BY COMPANY

• Arcsoft
• Digimarc
• Google
• Microsoft
• Nuance Communications
• ACR Cloud
• Audible Magic
• Civolution (Kantar Media)
• Enswers
• Gracenote
• Mufin
• Shazam Entertainment
• Vobile
• Voiceinteraction
• Beatgrid Media

BY REGION

• North America
• United States
• Canada
• Europe
• Germany
• France
• UK
• Italy
• Russia
• Nordic Countries
• Rest of Europe
• Asia-Pacific
• China
• Japan
• South Korea
• Southeast Asia
• India
• Australia
• Rest of Asia
• Latin America
• Mexico
• Brazil
• Rest of Latin America
• Middle East & Africa
• Turkey
• Saudi Arabia
• UAE
• Rest of MEA

Automatic Content Recognition Market Scope

Report Metric	Details
Report Name	Automatic Content Recognition Market
The market size value in 2021	1543.8 Million
The revenue forecast in 2028	4879.5 Million
Forecast Period 2021 to 2028 CAGR	17.4%
Base year considered	2021
Historical Data for	2022-2028
Forecast units	Value (USD)
Segments covered	Type, End-User, and Region
Market BY Type	Acoustic & Digital Video Fingerprinting, Digital Audio, Video & Image Watermarking, Optical Character Recognition, Speech Recognition.
Market BY Application/End-User	Consumer Electronics, E-Commerce, Education, Automotive, IT & Telecommunication, Healthcare, Defense & Public Safety, Avionics, Others.
Report coverage	Revenue & volume forecast, company share, competitive landscape, growth factors, and trends
Geographic regions covered	North America, Europe, Asia Pacific, Latin America, Middle East & Africa