Automatic Content Recognition Global Market Report 2024

“Automatic Content Recognition Global Market Report 2024 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on automatic content recognition market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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• Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
• Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
• Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
• Measure the impact of high global inflation on market growth.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market shares.
• Benchmark performance against key competitors.
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• Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
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Where is the largest and fastest growing market for automatic content recognition? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? “The automatic content recognition market global report ” from The Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

• 1) By Type: Audio, Video And Image Recognition; Voice And Speech Recognition; Real-Time Content Analytics; Security And Copyright Management
• 2) By Component: Hardware; Software
• 3) By Deployment: Cloud; On-Premises
• 4) By Application: Audience Segmentation And Measurement; Broadcast Monitoring; Advertisement Targeting And Pricing; Content Filtering; Other Applications
• 5) By Vertical: Media And entertainment; Consumer Electronics; Retail And E-commerce; Education; Automotive
• Companies Mentioned: International Business Machines Corporation; Microsoft Corporation; Google LLC; Digimarc Corporation; Apple Inc.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Executive Summary

Automatic Content Recognition (ACR) refers to the ability of a client application, typically found in smartphones or media tablets, to identify content elements within its proximity. This identification is achieved by sampling a portion of the audio, video, or digital image, processing the sample, and comparing it with a source service that identifies content through unique characteristics such as audio or video fingerprints or watermarks. ACR is utilized to assist viewers or listeners in remembering details about the content they have watched or heard.

The main types of automatic content recognition include audio, video, and image recognition, voice and speech recognition, real-time content analytics, and security and copyright management. Audio, video, and image recognition involve the capacity of computer-powered cameras to recognize and detect objects or features in a digital image or video. This software recognizes things, locations, people, writing, and actions in images. ACR components consist of hardware and software, deployed either on the cloud or on-premises. Applications of ACR span audience segmentation and measurement, broadcast monitoring, advertisement targeting and pricing, content filtering, among others. Verticals leveraging ACR technology include media and entertainment, consumer electronics, retail and e-commerce, education, and automotive.

The automatic content recognition market research report is one of a series of new reports from The Business Research Company that provides automatic content recognition market statistics, including automatic content recognition industry global market size, regional shares, competitors with an automatic content recognition market share, detailed automatic content recognition market segments, market trends and opportunities, and any further data you may need to thrive in the automatic content recognition industry. This automatic content recognition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The automatic content recognition market size has grown exponentially in recent years. It will grow from $4. 3 billion in 2023 to $5. 55 billion in 2024 at a compound annual growth rate (CAGR) of 29. 1%. The expansion observed in the historical period can be attributed to several factors, including an increased demand for personalized content, a surge in the popularity of digital platforms, the proliferation of digital content across various platforms, the growth in the use of second-screen applications, and the rising adoption of smart TVs and connected devices. These factors collectively contributed to the growth of Automatic Content Recognition (ACR) during the historic period.

The automatic content recognition market size is expected to see exponential growth in the next few years. It will grow to $15. 75 billion in 2028 at a compound annual growth rate (CAGR) of 29. 8%. The anticipated growth in the forecast period can be attributed to several factors, including the expansion of the streaming services market, a heightened focus on content monetization and targeted advertising, increased adoption of Automatic Content Recognition (ACR) in the automotive industry, a growing need for real-time content recognition, and the rising adoption of smart devices. Major trends expected during this period encompass the development of cross-platform ACR solutions, the use of deep learning and neural networks in ACR technology, the implementation of ACR for live and real-time content recognition, the integration of ACR in social media platforms, and an increased emphasis on data privacy and security in ACR applications. These trends collectively contribute to the continued growth and evolution of ACR in the forecasted period.

The expansion of the automatic content recognition market is forecasted, primarily driven by the increased utilization of smart devices and the surge in content streaming services. Smart TVs, integrated with streaming applications and internet connectivity, have revolutionized content consumption. These televisions, capable of streaming diverse content through internet-linked devices or apps, have notably altered user interaction with entertainment media. An article by Counterpoint, a US-based technology research company, highlighted in June 2022 in the Economic Times that the Indian smart TV market witnessed a surge of 33% in Q1 2022, constituting 89% of India's TV market. Concurrently, Amazon reported that the global count of monthly active fire TV users surpassed 50 million. Consequently, as the prevalence of smart devices and content streaming services continues to rise, there will be a subsequent increase in the demand for automatic content recognition.

The proliferation of wearable devices is anticipated to significantly contribute to the burgeoning automatic content recognition market. Wearable gadgets, including smartwatches, fitness bands, and health-monitoring devices, are integrated with Automatic Content Recognition (ACR) technology. This integration holds promise for delivering an immersive and personalized entertainment experience, leveraging these devices' capabilities to offer more context-specific and interactive content-related services. For instance, according to HeadphonesAddict, an impartial US-based website focused on headphone reviews, Apple Inc. observed a surge in sales of about 40 million Apple Watches in 2021, marking a 29% increase from the previous year. This upsurge in wearable device adoption is a key driver behind the growth of the automatic content recognition market.

Technological advancements stand as a prominent trend shaping the automatic content recognition landscape. Major players in this domain are vigorously advancing their technologies and engaging in extensive research to bolster the automatic content recognition market. In August 2021, LumenVox, a US-based speech recognition software company, unveiled a new generation of Automatic Speech Recognition (ASR). This ASR iteration boasts distinctive features like a transcription engine based on deep machine learning and artificial intelligence (AI), an end-to-end architecture using Deep Neural Networks (DNNs), and enhanced processing capabilities for speech recognition. The system's adaptability allows for quicker language model growth and introduces new toolsets for incorporating additional languages and dialects. The introduction of such groundbreaking technology marks a significant stride forward in the realm of automatic content recognition.

Key players within the automatic content recognition (ACR) market are embracing strategic partnerships to secure exclusive access to ACR data, enabling them to bolster their capabilities in this domain. Strategic partnerships involve collaborative efforts where companies leverage each other's strengths and resources for mutual benefits and success. Tremor International Ltd., a US-based video-first advertising technology platform, in October 2021, disclosed a partnership with VIDAA USA Inc., a US-based smart TV platform technology company. This partnership provides Tremor with exclusive rights to utilize VIDAA's ACR data within the United States and globally. VIDAA's distribution spans approximately 20 million smart TVs worldwide, with a projected increase to over 40 million in the future. By integrating VIDAA's ACR data into its TV intelligence product, Tremor becomes the sole external technology system with direct access to OEM ACR data for targeting beyond closed ecosystems. Post-integration into its TV Intelligence solution, Tremor International will exclusively access VIDAA's ACR data across global markets, including the United States, Canada, the United Kingdom, France, Italy, Germany, Portugal, Spain, the Netherlands, Australia, and Japan.

In March 2021, Roku, Inc., a US-based company specializing in digital media players for video streaming, acquired Nielsen's Advanced Video Advertising (AVA) business, the financial details of which were undisclosed. This acquisition positions Roku to introduce a comprehensive Dynamic Ad Insertion (DAI) solution in collaboration with TV producers. Additionally, through a strategic agreement between Nielsen and Roku, Nielsen's ad and content measurement solutions will be integrated onto the Roku platform, augmenting Nielsen ONE, the company's cross-media measurement solution. This strategic alignment between Nielsen Holdings, a US-based information, data, and market measurement company, and Roku underscores a significant development in advancing cross-media measurement solutions and expanding Roku's capabilities within the realm of ACR.

Major companies operating in the in the automatic content recognition market report are International Business Machines Corporation, Microsoft Corporation, Google LLC, Digimarc Corporation, Apple Inc., ArcSoft Inc., Nuance Communications Inc., Shazam Entertainment Ltd., Vobile Group Limited, VoiceInteraction SA, Audible Magic Corporation, Civolution, Enswers Inc., Gracenote Inc., Mufin GmbH, Beatgrid Media BV, Clarifai Inc., DataScouting, iPharro Media GmbH, Kantar Media SA, MediaMelon Inc., Nexidia Inc., Nuxeo SA, OpenText Corporation, Veritone Inc., Viscovery Pte Ltd., VoiceBase Inc., Vualto Ltd., Yospace Technologies Ltd., Zappware NV, ZEFR Inc., ZOO Digital Group plc

Asia-Pacific was the largest region in the automatic content recognition market in 2023 and is expected to be the fastest-growing region in the forecast period. The regions covered in the automatic content recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the automatic content recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The automatic content recognition market consists of revenues earned by entities by providing speech recognition and optical character recognition. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified)).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.