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自動コンテンツ認識の世界市場-2023-2030Global Automatic Content Recognition Market - 2023-2030 |
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自動コンテンツ認識の世界市場-2023-2030 |
出版日: 2022年12月26日
発行: DataM Intelligence
ページ情報: 英文 213 Pages
納期: 約2営業日
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世界の自動コンテンツ認識市場は、予測期間(2023-2030年)にCAGR17.30%で著しい成長を遂げると予測されています。
自動コンテンツ認識(ACR)は、メディアデバイスで再生されたコンテンツやメディアファイルに含まれるコンテンツを認識するコンテンツ識別システムです。これにより、ユーザーはテキスト入力や検索をすることなく、コンテンツに関する様々な情報を得ることができるようになります。ACRは、エンドユーザーとマルチメディア技術のインタラクションをより効率的にすることができます。その結果、ビデオ・オン・デマンド・アプリケーションは、過去のユーザーの検索結果に基づいたコンテンツを提案することで、消費者によりパーソナライズされたものとなっています。
モバイル機器やスマートテレビの利用が増えれば、メディア・ディスラプションが起こり、メディア・スキルが新たなレベルの献身とコラボレーションに昇華され、自動コンテンツ認識市場の隆盛を可能にします。さらに、ビデオ放送やオンデマンドなどのエンドユーザー向けアプリケーションに対するメディア企業のACRに対する需要の高まりは、エンドユーザーのニーズを満たすプログラムコンテンツや広告の作成を促進すると予測されます。
スマートデバイスの需要が高まっていることから、スマートテレビ、スマートフォン、ウェアラブルなどの電子機器にACR技術が搭載されることが、今後数年間における世界の自動コンテンツ認識市場の成長を促進する主要因になると思われます。しかし、コンテンツのプライバシーとセキュリティの制限は、自動コンテンツ認識市場の成長をある程度抑制する可能性のある顕著な懸念事項です。
自動コンテンツ識別は、テレビに収益をもたらす利益をもたらします。自動コンテンツ認識技術にモノのインターネット(IoT)とビッグデータ分析を取り入れることで、ビジネスの成長が可能になります。
様々な事業者が自動コンテンツ認識ソリューションを導入しているのは、消費者の視聴習慣に基づいた分析データを提供し、視聴者に合わせた広告キャンペーンを直接送信できるようになるからです。さらに、事業者は自動コンテンツ認識技術を活用して、視聴者にインタラクティブな体験を提供することで、eコマースなどのデジタルサービスに活用することができます。
スマートフォン、テレビ、ウェアラブルなどのスマートデバイスの増加に伴い、企業やエンドユーザーの間で、コンテンツの識別、認識、拡張に対するニーズが高まっています。そのため、企業はコンテンツの自動認識ソリューションやサービスを導入し、さまざまな方法でライフハックを簡素化するようになりました。
Shazamは、デジタル指紋技術と連携した音楽検出ソフトウェアをリリースし、このトレンドを先取りしました。その後、多くの企業がスマートTVやスマートフォン向けに自動コンテンツ認識ベースの画面分割アプリケーションをリリースしました。Netflix、Hotstar、Amazon Prime、YouTubeなどのオンデマンドビデオサービスの普及により、自動コンテンツ認識ソリューションやサービスへの需要が高まっています。
自動コンテンツ認識ソリューションの基盤であるデータは、多くの企業にとって引き続き扱いにくい重要な要素となっています。エクサバイトやペタバイトのデータを管理できていないため、セキュリティ侵害やデータ損失の可能性が高まっています。IoTの普及が進むにつれ、企業は侵害を回避するために、より強固なプライバシーとセキュリティを必要とするようになるでしょう。セキュリティの問題は、デジタル化の進展を阻害します。
組織は多くのタッチポイントを通じてデータを収集し、仮想的に測定しています。これらのデータは、サポートやコミュニケーションに活用され、様々なデータで構成されている可能性があります。その種類は、公開情報、ビッグデータ、顧客から提供された極小データなど、多岐にわたります。IoT対応機器の増加に伴い、セキュリティやプライバシーの脆弱性も多く存在するようになります。すべてのスマートフォンがハッカーのターゲットになる可能性があります。
機械学習とデータ解析は、直近の致命的な流行であるCOVID-19の対策に不可欠であることが証明されています。ほぼすべての国が、機械学習とAI分析によって支援された自動コンテンツ認識を使用して、感染者の弧の進行速度とパンデミックによる死亡率を決定しています。COVID-19の時の自動コンテンツ認識では、データ収集が最も困難な要素です。すべての企業が直面する共通の難題の一つと言えそうです。
COVID-19は、世界中でビジネスモデルに影響を与え、事業継続を妨げる特別な問題です。データとテクノロジーは、パンデミックのような脅威と将来計画に立ち向かう能力を根本的に変えてしまっています。組織は、健全なビジネス上の意思決定を行うために、斬新な方法でデータやビジネスを質的に変化させています。
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
The global automatic content recognition market report would provide access to an approx. 69 market data table, 61 figures and 213 pages.
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