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2023-2030 年自动内容识别的全球市场
市场调查报告书
商品编码
1176606

2023-2030 年自动内容识别的全球市场

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

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

市场概览

在预测期内（2023 年至 2030 年），全球自动内容识别市场预计将以 17.30% 的复合年增长率显着增长。

自动内容识别 (ACR) 是一种内容识别系统，可识别媒体设备上播放的内容和媒体文件中包含的内容。 这允许用户在不输入文本或搜索的情况下获得有关内容的各种信息。 ACR 可以使最终用户与多媒体技术之间的交互更加高效。 因此，视频点播应用程序通过根据过去的用户搜索来推荐内容，对消费者来说变得更加个性化。

移动设备和智能电视的使用增加将导致媒体中断，将媒体技能提升到新的奉献和协作水平，从而推动自动内容识别市场的兴起。 此外，媒体公司对视频广播和点播等终端用户应用的 ACR 需求不断增长，预计这将推动满足终端用户需求的程序化内容和广告的创建。

市场动态

随着对智能设备的需求不断增加，在智能电视、智能手机和可穿戴设备等电子设备中加入 ACR 技术将成为未来几年全球自动内容识别市场增长的主要驱动力。看来成为原因。 然而，内容隐私和安全限制是突出的问题，可能会在一定程度上限制自动内容识别市场的增长。

在媒体和娱乐中扩大自动内容识别的使用

自动内容识别为电视带来创收优势。 将物联网 (IoT) 和大数据分析整合到自动内容识别技术中可促进业务增长。

各种企业都在部署自动内容识别解决方案，因为它们提供基于消费者观看习惯的分析数据，使他们能够直接向受众发送广告活动。. 此外，运营商可以利用自动内容识别技术为观众提供电子商务等数字服务的互动体验。

智能设备和内容流设备的激增

随着智能手机、电视和可穿戴设备等智能设备的普及，企业和最终用户越来越需要识别、识别和增强内容。 因此，公司推出了内容自动识别解决方案和服务，以通过多种方式简化生活技巧。

Shazam 通过发布采用数字指纹技术的音乐检测软件引领了这一趋势。 从那时起，许多公司发布了基于自动内容识别的智能电视和智能手机分屏应用。 Netflix、Hotstar、Amazon Prime 和 YouTube 等点播视频服务的激增增加了对自动内容识别解决方案和服务的需求。

数据安全问题

数据是自动内容识别解决方案的基础，对于许多企业来说，它仍然是一个繁琐而关键的因素。 无法管理 EB 和 PB 级数据会增加安全漏洞和数据丢失的可能性。 随着物联网变得越来越普遍，企业将需要更强的隐私和安全性来避免违规。 安全问题阻碍了数字化进程。

组织通过许多接触点虚拟地收集和衡量数据。 这些数据用于支持和交流，可能包含各种数据。 类型广泛，包括公共信息、大数据、客户提供的微数据等。 随着支持物联网的设备的增加，将存在许多安全和隐私漏洞。 所有智能手机都是黑客的潜在目标。

COVID-19 影响分析

事实证明，机器学习和数据分析对于抗击最新的致命流行病 COVID-19 至关重要。 几乎每个国家/地区都在机器学习和人工智能分析的帮助下使用自动内容识别来确定感染弧的进展速度和大流行病的死亡率。 数据收集是 COVID-19 期间自动内容识别中最困难的部分。 这似乎是所有公司面临的共同挑战之一。

COVID-19 是一个影响商业模式并阻碍全球业务连续性的特殊问题。 数据和技术正在从根本上改变我们应对流行病等威胁和规划未来的能力。 组织正在以新颖的方式对其数据和业务进行定性转换，以做出明智的业务决策。

内容

第 1 章全球自动内容识别市场研究方法和范围

  • 调查方法
  • 调查目的和范围

第 2 章自动内容识别的全球市场 - 市场定义和概述

第 3 章自动内容识别的全球市场 - 执行摘要

  • 按组件细分的市场
  • 按部署模式划分的市场细分
  • 按组织规模划分的市场细分
  • 按应用划分的市场细分
  • 按地区划分的市场细分

第 4 章自动内容识别的全球市场 - 市场动态

  • 市场影响因素
    • 司机
      • 扩大自动内容识别在媒体和娱乐领域的应用
      • 智能设备和内容流媒体设备的采用范围扩大
    • 约束因素
      • 数据安全问题
    • 商机
    • 影响分析

第 5 章全球自动内容识别市场 - 行业分析

  • 波特的五力分析
  • 供应链分析
  • 定价分析
  • 监管分析

第 6 章自动内容识别的全球市场 - COVID-19 分析

  • COVID-19 市场分析
    • COVID-19 之前的市场情景
    • COVID-19 的当前市场情景
    • COVID-19 后或未来情景
  • COVID-19 期间的价格动态
  • 供需范围
  • 大流行期间与市场相关的政府举措
  • 製造商的战略举措
  • 总结

第 7 章。全球自动内容识别市场 - 按组件

  • 解决方案
  • 服务

第 8 章全球自动内容识别市场 - 按部署模式

  • 本地
  • 云

第 9 章。全球自动内容识别市场 - 按应用

  • 受众细分和管理
  • 广播监控
  • 广告定位和定价
  • 媒体与娱乐
  • 其他

第 10 章自动内容识别的全球市场 - 按组织规模

  • 中小企业
  • 大公司

第 11 章全球自动内容识别市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 西班牙
    • 其他欧洲
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美洲
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 其他亚太地区
  • 中东和非洲

第 12 章全球自动内容识别市场 - 竞争格局

  • 竞争场景
  • 市场情况/份额分析
  • 併购分析

第 13 章自动内容识别的全球市场 - 公司简介

  • 苹果公司
    • 公司概况
    • 产品组合和说明
    • 主要亮点
    • 财务摘要
  • Audible Magic Corporation
  • Kantar Media SAS
  • Digimarc Corporation
  • Signalogic Inc.
  • Vobile Group Limited
  • VoiceInteraction SA
  • ACRCloud
  • Nuance Communications Inc.
  • Audible Magic Corporation

第 14 章自动内容识别的全球市场 - 关键考虑因素

第 15 章自动内容识别的全球市场 - DataM

简介目录
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