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市场调查报告书
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1557256

广播和娱乐製作中的人工智慧市场 - 2024 年至 2029 年预测

AI in Broadcasting and Entertainment Production Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

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简介目录

广播和娱乐製作市场中的人工智慧预计到 2029 年将达到 1,126.63 亿美元，预测期内复合年增长率为 28.75%，而 2024 年为 318.4 亿美元。

人工智慧 (AI) 透过提供更好的工具和技术正在彻底改变广播和娱乐製作。好处包括提高熟练程度、提高内容品质、个人化内容传送、资料主导的体验以及潜在的成本节省。随着人工智慧技术的进步，更多的创新应用预计将塑造广播和娱乐製作的长期格局，刺激市场扩张。

此外，人工智慧将透过简化动画和视觉效果以及自动化重复任务来改变工作流程。深度学习程式能够创造简化的特效、动画和重演，从而升级视觉叙事体验。人工智慧透过为观众创造身临其境且具有视觉吸引力的体验，满足了对视觉品质和整体製作精神的强烈渴望。此外，根据加拿大广播电视和通讯委员会的公告，每週观看电视的时间从 2021 年的 5.06 亿小时增加到 2022 年的 6.85 亿小时。

传统电视网路依赖人工智慧来分析内容库、识别模式和个人化内容。人工智慧主导的调度和建议可实现个人化、按需体验，人工智慧可自动执行内容标记和分类分配。即时分析可以为广播公司提供有关观众模式和人口统计数据的信息，使他们能够优化节目安排和资产分配，从而可能节省成本。

广播和娱乐製作中的人工智慧市场驱动力

  • 人工智慧助理的兴起和观众参与度预计将推动人工智慧在广播和娱乐製作人工智慧市场的成长。

人工智慧广泛应用于各种应用中，例如Alexa和Google Assistant等人工智慧助手，广泛应用于家庭中的各种用途。它们与娱乐平台集成，允许客户使用语音命令搜寻内容、控製播放并向用户推荐内容。此外，对人工智慧的投资资助研究团队开发新演算法并改进现有技术。

这项预测将确保各行业使用更有效、自动化和资料主导的程式为不同的企业创建创新的人工智慧解决方案。此外，随着人工智慧的存在增加，内容创作和生产等领域对其使用的需求也随之增加，从而增加了人工智慧产品和服务的市场占有率。

此外，知名投资银行、投资管理和经纪公司高盛预计，2024年全球人工智慧投资额将约为1,321.2亿美元，其中美国和中国贡献最大。 2024年美国预计在人工智慧领域投资681.4亿美元，中国预计投资246.6亿美元。

广播和娱乐製作领域人工智慧市场的地理格局

  • 加拿大地区预计将占据主要市场占有率

由于连网型设备的快速采用和 OTT 平台使用的Over-the-Top，加拿大广播和娱乐製作市场中的人工智慧预计将在预测期内显着增长。这些 OTT 公司正在使用人工智慧进行预测分析、专案推荐、旅程地图和受众细分，以帮助改善客户体验。网路普及率的提高是推动国内OTT平台市场的关键因素之一。例如，根据加拿大政府的统计，到2022年，加拿大15岁以上人口中95%的人将能够上网，而2020年这一比例为92%。

加拿大政府增加对加拿大人工智慧市场的投资预计将对预测期内加拿大广播和娱乐製作市场的人工智慧产生积极影响。例如，2024年4月，在即将发布的2024年预算中，为加拿大的人工智慧优势实施了24亿美元的投资。这项投资旨在透过帮助研究人员和企业采用和促进人工智慧的使用来促进加拿大人工智慧领域的发展并提高生产力。其中，2亿美元将用于医疗保健、农业、干净科技和製造等各领域的人工智慧实施。因此，加拿大对人工智慧的投资增加预计将在未来几年推动市场成长。

根据加拿大政府人工智慧（AI）计算磋商会的数据，加拿大是以其人工智慧生态系统而闻名的国家之一。超过1500家公司正在开发AI解决方案，全球顶尖研究人员中有10%位居全球第二。微软在 2024 年发布的一份新报告显示，到 2030 年，生成Accenture人工智慧将为加拿大经济每年带来高达1,870 亿美元的劳动生产力收益，而到2030 年，工人每年将获得1,250 亿美元的劳动生产率收益。因此，随着人工智慧的进步，加拿大广播和娱乐领域的人工智慧市场预计在未来几年将会成长。

我国的广播电视事业正在崛起。人工智慧在该行业的使用预计将在预测期内推动它们的发展。例如，根据加拿大广播电视和通讯委员会的数据，2022年传统电视收入为14.97亿美元，比上年的14.24亿美元成长5%。 2022年全权电视服务收入为40.92亿美元，与前一年同期比较成长3%。 2021 年收入为 39.59 亿美元。因此，在预测期内，不断增长的广播产业预计将成为加拿大广播和娱乐製作市场人工智慧的一个巨大的人工智慧终端用户产业。

广播和娱乐市场的主要参与企业

  • Veritone Inc. - Veritone Inc. 提供脸部辨识、自然语言处理和识别技术来识别标誌、萤幕文字和其他可识别资产。 Veritone Discovery 由 aiWARETM 提供支持，可让您快速、轻鬆地近乎即时地搜寻大量媒体库、录製的节目和直播。
  • 瓦罗萨-瓦罗萨开发了一个人工智慧平台，可以像人类一样理解视频，并拥有强大的分析引擎，可以分析视频中所说、看到和听到的所有内容。 Valossa 的 AI 超越了传统视觉识别系统的功能，透过结合所有内容资料（包括人物、语音、音讯、情感和视觉实体），提供有史以来最全面的影像理解。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章广播娱乐製作中的人工智慧市场：依技术分类

  • 介绍
  • 机器学习
  • 深度学习

第六章广播和娱乐製作中的人工智慧市场：按解决方案

  • 介绍
  • 硬体
  • 软体/服务

第七章广播娱乐製作中的人工智慧市场：按应用分类

  • 介绍
  • 内容製作
  • 内容传送
  • 生产后
  • 其他的

第八章广播和娱乐製作中的人工智慧市场：按最终用户划分

  • 介绍
  • 广播电视网
  • 有线电视网络

第九章广播娱乐製作中的人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 依技术
    • 按解决方案
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 依技术
    • 按解决方案
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 依技术
    • 按解决方案
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 依技术
    • 按解决方案
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 依技术
    • 按解决方案
    • 按用途
    • 按最终用户
    • 按国家/地区

第十章竞争环境及分析

  • 主要企业及策略分析
  • 新兴参与企业和巨大的盈利
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十一章 公司简介

  • Amazon Web Services, Inc.
  • Veritone, Inc.
  • GrayMeta, Inc.
  • Valossa Labs Ltd.
  • IBM Corporation
  • Advanced Micro Devices, Inc.
  • Netflix
  • Microsoft
  • Meta
  • Nvidia
  • Sportway AB
  • Pixellot
简介目录
Product Code: KSI061617086

The AI in broadcasting and entertainment production market is projected to grow at a CAGR of 28.75% over the forecast period, from US$31.840 billion in 2024, and is expected to reach US$112.663 billion by 2029.

Artificial Intelligence (AI) is revolutionizing broadcasting and entertainment production by offering brilliant tools and methods. Benefits incorporate expanded proficiency, upgraded content quality, personalized content delivery, data-driven experiences, and potential cost savings. As AI technology advances, more innovative applications will shape the long-term of broadcasting and entertainment production, fueling market expansion.

Moreover, increased AI utilization for streamlining animation, visual effects, and altering workflows by automating repetitive assignments. Deep learning procedures empower the creation of reasonable special effects, animation, and recreations, upgrading the visual storytelling encounter. AI meets strong desires for visual quality and overall production esteem by making immersive and visually stunning experiences for watchers. In addition, as per the Canada Radio-television and Telecommunications Commission, the per week television viewership increased from 506 million hours in 2021 per week, which grew to 685 million hours per week in 2022.

Traditional TV networks utilize AI to analyze content libraries, identify patterns, and personalize content. AI-driven scheduling and recommendations can make personalized on-demand experiences, whereas AI automates content tagging and categorization assignments. Real-time analytics give broadcasters information on viewership patterns and demographics, empowering optimization of programming schedules and asset assignment and possibly driving cost savings.

AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET DRIVERS:

  • The rise in AI-powered assistants and audience engagement is anticipated to boost AI in the broadcasting and entertainment production market's growth.

AI is utilized widely in various applications, such as AI assistants like Alexa and Google Assistant, which are widely used in households for different purposes. These are integrated with entertainment platforms, allowing their customers to use voice commands for content search and playback control and recommending content to their users. Moreover, investment in AI funds research teams to create new algorithms and improve existing technologies, resulting in more effective and versatile AI capabilities as the audience engages more in using AI.

This prediction ensures industries create innovative AI solutions for diverse businesses using more effective, automated, and data-driven procedures. Further, since AI presence has risen, the necessity for AI usage in sectors such as content creation and production is making a larger share of the market for AI products and services.

In addition, Goldman Sachs, a well-known investment banking, investment management, and securities firm, forecasts that the world's AI investment will be about US$132.12 billion in 2024, with the United States and China being the largest contributors to this increment. The United States is predicted to spend US$68.14 billion on artificial intelligence, while China is expected to invest US$24.66 billion in 2024.

AI in Broadcasting and Entertainment Production Market Geographical Outlook

  • Canada region is anticipated to have a significant market share.

The Canadian market for AI in broadcasting and entertainment production is anticipated to grow significantly in the projected period, owing to the rising swiftness in connected devices and the increasing use of over-the-top (OTT) platforms. These OTT companies use AI for predictive analysis, recommendations for shows, journey mapping, and audience segmentation, which helps enhance the customer experience. The increasing internet penetration is one of the major reasons fueling the market for these OTT platforms in the country. For instance, according to the Government of Canada statistics, in 2022, 95% of the Canadian population aged more than 15 years had internet access, whereas in 2020, this statistic was 92% people.

The increasing investment in the Canadian AI market by the country's government is expected to positively impact AI in Canada's broadcasting and entertainment production market in the projected period. For instance, in April 2024, an investment of US$2.4 billion was implemented in the upcoming Budget 2024 for Canada's AI advantage. This investment aims to boost Canada's AI sector and increase productivity by helping researchers and businesses adopt AI and ensure smooth usage. Of this investment, US$200 million will be invested in deploying AI in various sectors such as healthcare, agriculture, clean technology, and manufacturing. Hence, increased investment in AI in Canada is anticipated to propel market growth in the coming years.

According to the Government of Canada Consultation on Artificial Intelligence (AI) Compute, Canada is one of the renowned countries in the AI ecosystem. Over 1,500 companies are developing AI solutions, and 10% of the world's top-tier researchers are second globally. According to a new report from Microsoft, conducted by Accenture, launched in 2024, Generative AI can add a whopping US$187 billion annually to the Canadian economy in labor productivity gains by 2030 and help workers save more than 125 hours per year. Hence, with such increasing development in AI, the market for Canadian AI in broadcasting and entertainment is expected to grow in the coming years.

The broadcasting and television industry is increasing in the country. In the projected period, the use of artificial intelligence in this industry is anticipated to propel them. For instance, according to the Canada Radio-television and Telecommunications Commission, the conventional television sector revenue in 2022 was US$1,497 million, which was a 5% increase over the previous year, when the revenue was US$1,424 million. The discretionary television service revenue in 2022 was US$4,092 million, an increase of 3% compared to the previous year. In 2021, the revenue was US$3,959 million. Hence, the increasing broadcasting industry is anticipated to act as a huge end-user industry for Canada's AI in the broadcasting and entertainment production market in the projected period.

AI in Broadcasting and Entertainment Market Key Players:

  • Veritone Inc.- Veritone provides face recognition, natural language processing, and recognition technology for identifying logos, on-screen text, and other identifiable assets. Veritone Discovery, powered by aiWARETM, enables you to quickly and easily search through massive media libraries, pre-recorded shows, and live broadcasts in almost real-time.
  • Valossa- Valossa developed an Artificial Intelligence platform that understands video as a human would, analyzing everything said, seen, and heard in a video with a powerful analysis engine. Beyond the capabilities of conventional visual recognition systems, Valossa AI creates the most comprehensive understanding of video to date by combining all of the content data, including people, speech, sounds, emotions, and visual entities.

Market Segmentation:

AI In the Broadcasting and Entertainment Production Market is segmented and analyzed as below:

By Technology

  • Machine Learning
  • Deep Learning

By Solution

  • Hardware
  • Software/Services

By Application

  • Content Production
  • Content Distribution
  • Post-production
  • Others

By End-User

  • Broadcast TV networks
  • Cable TV networks

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst view

5. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Deep Learning

6. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY SOLUTION

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Software/Services

7. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Content Production
  • 7.3. Content Distribution
  • 7.4. Post-production
  • 7.5. Others

8. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. Broadcast TV networks
  • 8.3. Cable TV networks

9. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Technology
    • 9.2.2. By Solution
    • 9.2.3. By Application
    • 9.2.4. By End-User
    • 9.2.5. By Country
      • 9.2.5.1. USA
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Technology
    • 9.3.2. By Solution
    • 9.3.3. By Application
    • 9.3.4. By End-User
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Technology
    • 9.4.2. By Solution
    • 9.4.3. By Application
    • 9.4.4. By End-User
    • 9.4.5. By Country
      • 9.4.5.1. Germany
      • 9.4.5.2. France
      • 9.4.5.3. United Kingdom
      • 9.4.5.4. Italy
      • 9.4.5.5. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Technology
    • 9.5.2. By Solution
    • 9.5.3. By Application
    • 9.5.4. By End-User
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Technology
    • 9.6.2. By Solution
    • 9.6.3. By Application
    • 9.6.4. By End-User
    • 9.6.5. By Country
      • 9.6.5.1. China
      • 9.6.5.2. Japan
      • 9.6.5.3. India
      • 9.6.5.4. South Korea
      • 9.6.5.5. Taiwan
      • 9.6.5.6. Thailand
      • 9.6.5.7. Indonesia
      • 9.6.5.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Emerging Players and Markey Lucrativeness
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Amazon Web Services, Inc.
  • 11.2. Veritone, Inc.
  • 11.3. GrayMeta, Inc.
  • 11.4. Valossa Labs Ltd.
  • 11.5. IBM Corporation
  • 11.6. Advanced Micro Devices, Inc.
  • 11.7. Netflix
  • 11.8. Microsoft
  • 11.9. Meta
  • 11.10. Nvidia
  • 11.11. Sportway AB
  • 11.12. Pixellot