Global Automatic Content Recognition Market - 2023-2030

Market Overview

The global automatic content recognition market reached US$ XX million in 2022 and is expected to record significant growth by reaching up to US$ XX million by 2030, growing at a CAGR of 17.30% during the forecast period (2023-2030).

Automatic content recognition (ACR) is a content identification system that recognizes content played on a media device or contained in a media file. It enables users to acquire extensive information about the content they have encountered without requiring text-based input or search attempts. ACR enables more efficient end-user interaction with multimedia technology. As a result, it is making video-on-demand applications more personalized for consumers by proposing material based on past user searches.

The increased usage of mobile devices and smart TVs causes media disruption, elevating media skills to a new level of dedication and collaboration, allowing the automatic content recognition market to flourish. Furthermore, the increased demand for ACR by media organizations for end-user applications like video broadcasting and on-demand is projected to drive the creation of programmed content and advertisements to fulfill end-users needs.

Market Dynamics

Because of the increased demand for smart devices, the incorporation of ACR technology in electronics such as Smart TVs, smartphones and wearables is likely to be a key factor driving the growth of the global automatic content recognition market in the upcoming years. However, content privacy and security limits are prominent concerns that may restrain the automatic content recognition market growth to some level.

The growing use of automatic content recognition in media & entertainment

Automatic content identification provides revenue-generating benefits to television. Incorporating the internet of things (IoT) and big data analytics in automatic content recognition technology allows the business to grow.

Various operators are implementing automatic content recognition solutions because they provide them with analytical data based on consumer viewing habits and allow them to send tailored advertising campaigns straight to viewers. Furthermore, operators can leverage automated content recognition technology for digital services such as e-commerce by giving viewers an interactive experience.

The rising adoption of smart devices and content streaming devices

With the increasing number of smart devices such as smartphones, TVs and wearables, there has been an immediate need for content identification, recognition and augmentation, both among corporations and end consumers. It has prompted enterprises to implement automatic content recognition solutions and services, simplifying the life hack in various ways.

Shazam pioneered the trend by releasing music detection software associated with digital fingerprinting technology. Following suit, many businesses released automatic content recognition-based split-screen applications for smart TVs and smartphones. The popularity of on-demand video services such as Netflix, Hotstar, Amazon Prime and YouTube increases the demand for automatic content recognition solutions and services.

Concerns related to data security

Data, the basis of automatic content recognition solutions, continues to be a key factor that most firms find difficult to handle. The lack of managing exabytes and petabytes of data has increased the likelihood of security breaches and data loss. As IoT grows more prevalent, enterprises will need more robust privacy and security to avoid breaches. The issue of security hinder digitalization's progress.

Organizations collect data through many touchpoints and virtually measure it. Such data is utilized in support and communication and might consist of various data. These data kinds include public information, big data and customer-provided tiny data. As IoT-enabled equipment grows, so will many security and privacy vulnerabilities. Every smartphone will become a possible target for hackers.

COVID-19 Impact Analysis

Machine learning and data analytics have proved critical in combating COVID-19, the most recent fatal epidemic. Almost all countries have used automatic content recognition aided by machine learning and AI analysis to determine the rate of progression of the arc of the infected population and the death rate caused by the pandemic. Data collection is the most difficult component of automatic content recognition during COVID-19. It looks to be one of the common difficult difficulties that all businesses are confronted with.

COVID-19 is a special issue that will impact business models and interrupt business continuity worldwide. Data and technology have fundamentally altered our ability to confront a threat, such as a pandemic and a plan for the future. Organizations are qualitative data into their data and businesses in novel ways to make sound business decisions.

Segment Analysis

By application, the automatic content recognition market is segmented into audience segmentation & management, broadcast monitoring, advertisement targeting & pricing, media & entertainment and others.

The expanding automatic content recognition technology in smart media & entertainment devices

While DVRs, Video on Demand and over-the-top streaming across all screens have dramatically improved the viewer's life by allowing them to deliver what, when and where they watch, things have become more challenging for advertisers and content owners. Live audiences have diminished in recent years, as has overall viewer engagement.

The increased use of automated content recognition technology in smartphones and smart TVs has resulted in global demand for automatic content recognition solutions. The audio, video and picture recognition solution will likely dominate the solution segment in the automatic content identification market during the forecast period as it is the most used solution for identifying all sorts of media content in smart devices.

Geographical Analysis

The rising technological advancements in Asia-Pacific

Due to technological improvement, economically developing countries such as Australia, India, China and Japan are likely to attribute stronger growth in the coming years, swiftly adopting technology-enabled smart gadgets, which is expected to stimulate the global market. The area is expected to exhibit significant development opportunities due to the rising population, rising mobile users, rising adoption of BYOD technology and prospering IT & communications as the primary factors driving market advancement.

According to the International Trade Administration, China's marketplaces increased by 10% between 2016 and 2017. Although the market size and potential are unrivaled, entry restrictions continue due to censoring rules on cultural content sectors such as the internet, TV, cinema, music and radio.

Competitive Landscape

The market for automatic content identification is competitive, with only a few prominent players. Some players now dominate the market in terms of market share. However, as content identification advances throughout managed services, new firms strengthen their market presence and expand their corporate footprint across emerging markets.

In May 2019, Nuance Communications, Inc. stated that it powers the BMW Intelligent Personal Assistant's functions. It is an AI-powered digital companion that allows drivers to control their cars and access their features and information by speaking. It is available first in the new BMW 3 Series.

In November 2018, Anghami, the top music firm in the MENA region and ACRCloud collaborated to develop the Radar function, which allows the user not to miss a song and recognize all the songs playing around them. Anghami offers a seamless music experience and allows you to listen to unlimited music via mobile.

Major global automatic content recognition market companies include Apple Inc., Audible Magic Corporation, Kantar Media SAS, Digimarc Corporation, Signalogic Inc., Vobile Group Limited, VoiceInteraction SA, ACRCloud, Nuance Communications Inc. and Audible Magic Corporation.

Digimarc Corporation

Overview: Digimarc is one of the pioneers and market leaders in digital watermarking systems and automatic media identification, such as packaging, commercial print and digital images. Digimarc watermarks are powering the next generation of digital identification and detection-based solutions, enabling businesses to improve efficiency, accuracy and security across physical and digital supply chains.

Product Portfolio: Digimarc software and software development kits (SDKs) provide a more dependable and efficient platform for automatic identification, visual search, content recognition, barcode scanning and other strong features to desktop PCs, embedded devices and mobile apps. Digimarc has over 1,100 granted and pending patents in its global patent portfolio. The advancements include cutting-edge digital watermarks, Digimarc Discover® software for automatic identification, etc.

Key Development: Digimarc Corporation stated that it had finalized its earlier acquisition of the Product Cloud firm EVRYTHNG Ltd, situated in London, UK, in January 2022. As EVRYTHNG integrates with Digimarc, it provides customers with a comprehensive solution set that combines the best form of object identification with the best cloud platform for collecting and processing the intelligence unlocked by that object identification.

The deal broadens both organizations' geographic reach. EVRYTHNG, located in London and has offices in New York, Beijing, Minsk and Lausanne, is succeeding in North America. On the other hand, Digimarc, situated in the Portland oregon, area, has an expanding customer base throughout Europe.

Why Purchase the Report?

• Visualize the composition of the automatic content recognition market segmentation by component, deployment mode organization size, application and region, highlighting the critical commercial assets and players.
• Identify commercial opportunities in the automatic content recognition market by analyzing trends and co-development deals.
• Excel data sheet with thousands of automatic content recognition market-level 4/5 segmentation points.
• Pdf report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
• Product mapping in excel for the key product of all major market players

The global automatic content recognition market report would provide access to an approx. 69 market data table, 61 figures and 213 pages.

Target Audience 2022

• Automatic Content Recognition Providers/ Buyers
• Industry Investors/Investment Bankers
• Media & Entertainment & Research Institutes
• Emerging Companies
• Automatic Content Recognition Manufacturers