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2023-2030 年自動內容識別的全球市場
市場調查報告書
商品編碼
1176606

2023-2030 年自動內容識別的全球市場

Global Automatic Content Recognition Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 213 Pages | 商品交期: 約2個工作天內

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簡介目錄

市場概覽

在預測期內（2023 年至 2030 年），全球自動內容識別市場預計將以 17.30% 的複合年增長率顯著增長。

自動內容識別 (ACR) 是一種內容識別系統，可識別媒體設備上播放的內容和媒體文件中包含的內容。 這允許用戶在不輸入文本或搜索的情況下獲得有關內容的各種信息。 ACR 可以使最終用戶與多媒體技術之間的交互更加高效。 因此，視頻點播應用程序通過根據過去的用戶搜索來推薦內容，對消費者來說變得更加個性化。

移動設備和智能電視的使用增加將導致媒體中斷，將媒體技能提升到新的奉獻和協作水平，從而推動自動內容識別市場的興起。 此外，媒體公司對視頻廣播和點播等終端用戶應用的 ACR 需求不斷增長，預計這將推動滿足終端用戶需求的程序化內容和廣告的創建。

市場動態

隨著對智能設備的需求不斷增加，在智能電視、智能手機和可穿戴設備等電子設備中加入 ACR 技術將成為未來幾年全球自動內容識別市場增長的主要驅動力。看來成為原因。 然而，內容隱私和安全限制是突出的問題，可能會在一定程度上限制自動內容識別市場的增長。

在媒體和娛樂中擴大自動內容識別的使用

自動內容識別為電視帶來創收優勢。 將物聯網 (IoT) 和大數據分析整合到自動內容識別技術中可促進業務增長。

各種企業都在部署自動內容識別解決方案，因為它們提供基於消費者觀看習慣的分析數據，使他們能夠直接向受眾發送廣告活動。. 此外，運營商可以利用自動內容識別技術為觀眾提供電子商務等數字服務的互動體驗。

智能設備和內容流設備的激增

隨著智能手機、電視和可穿戴設備等智能設備的普及，企業和最終用戶越來越需要識別、識別和增強內容。 因此，公司推出了內容自動識別解決方案和服務，以通過多種方式簡化生活技巧。

Shazam 通過發布採用數字指紋技術的音樂檢測軟件引領了這一趨勢。 從那時起，許多公司發布了基於自動內容識別的智能電視和智能手機分屏應用。 Netflix、Hotstar、Amazon Prime 和 YouTube 等點播視頻服務的激增增加了對自動內容識別解決方案和服務的需求。

數據安全問題

數據是自動內容識別解決方案的基礎，對於許多企業來說，它仍然是一個繁瑣而關鍵的因素。 無法管理 EB 和 PB 級數據會增加安全漏洞和數據丟失的可能性。 隨著物聯網變得越來越普遍，企業將需要更強的隱私和安全性來避免違規。 安全問題阻礙了數字化進程。

組織通過許多接觸點虛擬地收集和衡量數據。 這些數據用於支持和交流，可能包含各種數據。 類型廣泛，包括公共信息、大數據、客戶提供的微數據等。 隨著支持物聯網的設備的增加，將存在許多安全和隱私漏洞。 所有智能手機都是黑客的潛在目標。

COVID-19 影響分析

事實證明，機器學習和數據分析對於抗擊最新的致命流行病 COVID-19 至關重要。 幾乎每個國家/地區都在機器學習和人工智能分析的幫助下使用自動內容識別來確定感染弧的進展速度和大流行病的死亡率。 數據收集是 COVID-19 期間自動內容識別中最困難的部分。 這似乎是所有公司面臨的共同挑戰之一。

COVID-19 是一個影響商業模式並阻礙全球業務連續性的特殊問題。 數據和技術正在從根本上改變我們應對流行病等威脅和規劃未來的能力。 組織正在以新穎的方式對其數據和業務進行定性轉換，以做出明智的業務決策。

內容

第 1 章全球自動內容識別市場研究方法和範圍

  • 調查方法
  • 調查目的和範圍

第 2 章自動內容識別的全球市場 - 市場定義和概述

第 3 章自動內容識別的全球市場 - 執行摘要

  • 按組件細分的市場
  • 按部署模式劃分的市場細分
  • 按組織規模劃分的市場細分
  • 按應用劃分的市場細分
  • 按地區劃分的市場細分

第 4 章自動內容識別的全球市場 - 市場動態

  • 市場影響因素
    • 司機
      • 擴大自動內容識別在媒體和娛樂領域的應用
      • 智能設備和內容流媒體設備的採用範圍擴大
    • 約束因素
      • 數據安全問題
    • 商機
    • 影響分析

第 5 章全球自動內容識別市場 - 行業分析

  • 波特的五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析

第 6 章自動內容識別的全球市場 - COVID-19 分析

  • COVID-19 市場分析
    • COVID-19 之前的市場情景
    • COVID-19 的當前市場情景
    • COVID-19 後或未來情景
  • COVID-19 期間的價格動態
  • 供需範圍
  • 大流行期間與市場相關的政府舉措
  • 製造商的戰略舉措
  • 總結

第 7 章。全球自動內容識別市場 - 按組件

  • 解決方案
  • 服務

第 8 章全球自動內容識別市場 - 按部署模式

  • 本地
  • 雲

第 9 章。全球自動內容識別市場 - 按應用

  • 受眾細分和管理
  • 廣播監控
  • 廣告定位和定價
  • 媒體與娛樂
  • 其他

第 10 章自動內容識別的全球市場 - 按組織規模

  • 中小企業
  • 大公司

第 11 章全球自動內容識別市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 意大利
    • 西班牙
    • 其他歐洲
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美洲
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 其他亞太地區
  • 中東和非洲

第 12 章全球自動內容識別市場 - 競爭格局

  • 競爭場景
  • 市場情況/份額分析
  • 併購分析

第 13 章自動內容識別的全球市場 - 公司簡介

  • 蘋果公司
    • 公司概況
    • 產品組合和說明
    • 主要亮點
    • 財務摘要
  • Audible Magic Corporation
  • Kantar Media SAS
  • Digimarc Corporation
  • Signalogic Inc.
  • Vobile Group Limited
  • VoiceInteraction SA
  • ACRCloud
  • Nuance Communications Inc.
  • Audible Magic Corporation

第 14 章自動內容識別的全球市場 - 關鍵考慮因素

第 15 章自動內容識別的全球市場 - DataM

簡介目錄
Product Code: DMICT6073

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

Table of Contents

1. Global Automatic Content Recognition Market Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Global Automatic Content Recognition Market - Market Definition and Overview

3. Global Automatic Content Recognition Market - Executive Summary

  • 3.1. Market Snippet By Component
  • 3.2. Market Snippet By Deployment Mode
  • 3.3. Market Snippet By Organization Size
  • 3.4. Market Snippet By Application
  • 3.5. Market Snippet By Region

4. Global Automatic Content Recognition Market-Market Dynamics

  • 4.1. Market Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. The growing use of automatic content recognition in media & entertainment
      • 4.1.1.2. The rising adoption of smart devices and content streaming devices
    • 4.1.2. Restraints
      • 4.1.2.1. Concerns related to data security
      • 4.1.2.2. XX
    • 4.1.3. Opportunity
      • 4.1.3.1. XX
    • 4.1.4. Impact Analysis

5. Global Automatic Content Recognition Market - Industry Analysis

  • 5.1. Porter's Five Forces Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. Global Automatic Content Recognition Market - COVID-19 Analysis

  • 6.1. Analysis of COVID-19 on the Market
    • 6.1.1. Before COVID-19 Market Scenario
    • 6.1.2. Present COVID-19 Market Scenario
    • 6.1.3. After COVID-19 or Future Scenario
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. Global Automatic Content Recognition Market - By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Solutions*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Services

8. Global Automatic Content Recognition Market - By Deployment Mode

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 8.1.2. Market Attractiveness Index, By Deployment Mode
  • 8.2. On-Premise*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Cloud

9. Global Automatic Content Recognition Market - By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Audience Segmentation & Management*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Broadcast Monitoring
  • 9.4. Advertisement Targeting & Pricing
  • 9.5. Media & Entertainment
  • 9.6. Others

10. Global Automatic Content Recognition Market - By Organization Size

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 10.1.2. Market Attractiveness Index, By Organization Size
  • 10.2. Small & Medium Enterprises*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Large Enterprises

11. Global Automatic Content Recognition Market - By Region

  • 11.1. Introduction
  • 11.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 11.3. Market Attractiveness Index, By Region
  • 11.4. North America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.7.1. U.S.
      • 11.4.7.2. Canada
      • 11.4.7.3. Mexico
  • 11.5. Europe
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.7.1. Germany
      • 11.5.7.2. UK
      • 11.5.7.3. France
      • 11.5.7.4. Italy
      • 11.5.7.5. Spain
      • 11.5.7.6. Rest of Europe
  • 11.6. South America
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.6.7.1. Brazil
      • 11.6.7.2. Argentina
      • 11.6.7.3. Rest of South America
  • 11.7. Asia-Pacific
    • 11.7.1. Introduction
    • 11.7.2. Key Region-Specific Dynamics
    • 11.7.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.7.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.7.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.7.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.7.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.7.7.1. China
      • 11.7.7.2. India
      • 11.7.7.3. Japan
      • 11.7.7.4. Australia
      • 11.7.7.5. Rest of Asia-Pacific
  • 11.8. The Middle East and Africa
    • 11.8.1. Introduction
    • 11.8.2. Key Region-Specific Dynamics
    • 11.8.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.8.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.8.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.8.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

12. Global Automatic Content Recognition Market - Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Global Automatic Content Recognition Market - Company Profiles

  • 13.1. Apple Inc.
    • 13.1.1. Company Overview
    • 13.1.2. Product Portfolio and Description
    • 13.1.3. Key Highlights
    • 13.1.4. Financial Overview
  • 13.2. Audible Magic Corporation
  • 13.3. Kantar Media SAS
  • 13.4. Digimarc Corporation
  • 13.5. Signalogic Inc.
  • 13.6. Vobile Group Limited
  • 13.7. VoiceInteraction SA
  • 13.8. ACRCloud
  • 13.9. Nuance Communications Inc.
  • 13.10. Audible Magic Corporation

LIST NOT EXHAUSTIVE

14. Global Automatic Content Recognition Market - Premium Insights

15. Global Automatic Content Recognition Market - DataM

  • 15.1. Appendix
  • 15.2. About Us and Services
  • 15.3. Contact Us