媒体与娱乐产业人工智慧/机器学习市场－全球产业规模、份额、趋势、机会与预测：按解决方案、应用、最终用户、地区和竞争对手划分，2021-2031年

全球媒体和娱乐领域的 AI/ML 市场预计将从 2025 年的 241.9 亿美元大幅成长到 2031 年的 1,086.1 亿美元，复合年增长率为 28.44%。

该市场涵盖旨在实现内容创作自动化、优化分发流程并透过预测分析提供个人化观看体验的先进运算系统。推动成长的关键因素包括对客製化内容提案需求的激增，以及在製作成本不断上涨的情况下提高营运效率的迫切需求。此外，生成式人工智慧的应用将加速视觉特效和剧本创作等创造性任务，使媒体公司能够优化供应链并大幅节省资源。

然而，自动化内容的可靠性和准确性在业界面临严峻挑战，这威胁到编辑标准和品牌声誉。演算法导致的错误和误导性资讯是广播公司和出版商最关注的问题，因为他们对准确性有极高的要求。例如，欧洲广播联盟 (EBU) 的一项 2025 年研究发现，新闻应用中 45% 的人工智慧产生回覆至少包含一个重大错误。这种可靠性差距使得严格的人工审核势在必行，而这反过来又减缓了自主系统的普及，并阻碍了整体市场成长。

市场驱动因素

生成式人工智慧与创新内容创作的快速融合，正透过自动化剧本创作、视觉特效与在地化等复杂流程，重塑媒体供应链。这项技术进步使工作室能够缩短製作週期、优化资源配置，并逐步从实验阶段迈向全面应用。根据Google云端2025年9月发布的报告《生成式人工智慧在媒体和娱乐领域的投资报酬率》，72%的媒体高层已从这些倡议中获得了可观的收益。随着这些工具的不断发展，创作者能够以更低的成本产生高品质的素材，从而满足业界对可扩展内容创作的需求，同时减轻财务负担。

同时，透过预测性受众分析优化定向广告，使平台能够提供高度个人化的观看体验，从而显着提升收入。广告商正利用机器学习和分析大量使用者行为数据，确保商业内容精准触达特定族群。这种效率已在财务表现中得到充分体现；根据互动广告局 (IAB) 2025 年 4 月发布的《互联网广告收入报告》，2024 年数位广告收入达到创纪录的 2586 亿美元，这主要得益于人工智慧驱动的个人化和衡量技术。随着消费者行为模式的改变，这种变现能力至关重要。路透社新闻研究所 2025 年 6 月发布的《数位新闻报告》显示，15% 的 25 岁以下消费者将人工智慧助理作为其主要新闻来源，凸显了製定适应性策略的必要性。

市场挑战

人工智慧/机器学习在媒体和娱乐领域的应用面临着自动化内容生成可靠性和事实准确性的重大挑战。由于媒体公司高度依赖维护品牌信誉和公众信任，演算法产生的错误和误导性资讯的传播构成了重大风险。目前的生成模型可能会产生误导性或不准确的叙事，因此需要实施严格的人工审核。这种人工检验的需求削弱了预期的效率提升和成本降低，实际上阻碍了这些技术融入核心製作流程。

因此，声誉受损的风险阻碍了广播公司和出版商将自动化系统用于一般消费者用途。受众对机器生成媒体可信度的怀疑进一步加剧了这种顾虑。路透社新闻研究所的数据显示，2024年，52%的美国受访者表示对主要由人工智慧产生的新闻感到不安，原因是担心其准确性和虚假资讯。这种消费者信任的缺失阻碍了市场向高价值自动化内容传送的扩展，并将人工智慧的应用限制在低风险的行政任务上。

市场趋势

电子游戏开发中自适应NPC（非玩家角色）智慧的兴起，标誌着从静态脚本到动态响应实体的重大转变，从而增强了玩家的沉浸感。开发者越来越多地运用机器学习技术来建构虚拟世界，使NPC具备自主决策能力和逼真的社交互动，无需大量手动编码即可创造更自然且不可预测的环境。随着游戏工作室努力提升游戏的可玩性和玩家参与度，这一趋势正愈演愈烈。根据Unity于2024年3月发布的《Unity游戏报​​告2024》，64%使用人工智慧进行世界建构的开发者专门利用这些工具来创建和放置NPC。

同时，人工智慧驱动的体育赛事精彩集锦自动生成技术的部署，正在改变广播公司捕捉和向行动优先受众提供直播内容的方式。透过利用电脑视觉演算法即时识别进球、篮球比赛和观众反应等关键时刻，版权所有拥有者可以自动编辑和格式化影片片段，以便即时共用社群媒体，从而显着降低传统编辑方式固有的延迟。这项创新满足了TikTok和Instagram等平台对快速、短影片内容的需求。根据WSC Sports在2024年12月发布的报告，受行动端优化观看体验日益增长的需求推动，人工智慧生成的垂直萤幕影片精彩集锦的製作量同比增长了81%。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球媒体与娱乐产业人工智慧/机器学习市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按解决方案（硬体、服务）
  • 依应用领域（游戏、假新闻侦测、抄袭侦测、个人化、生产计画与管理、销售与行销、人才招募、内容撷取等）
  • 依最终用户（电影/电视、音乐、运动、媒体机构等）划分
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美媒体与娱乐产业人工智慧/机器学习市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国别分析
  • 我们
  • 加拿大
  • 墨西哥

第七章：欧洲媒体与娱乐产业人工智慧/机器学习市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国别分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区媒体与娱乐产业的AI/ML市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国别分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲媒体娱乐产业的AI/ML市场展望

• 市场规模及预测
• 市占率及预测
• 中东与非洲：国别分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美媒体与娱乐产业的AI/ML市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国别分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 促进因素
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 近期趋势

第十三章：全球媒体与娱乐产业人工智慧/机器学习市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商的议价能力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• NVIDIA Corporation
• Adobe Inc.
• Synthesia Ltd
• Veritone, Inc.
• Sony Corporation
• Oracle Corporation

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global AI and ML in Media and Entertainment Market is projected to expand significantly, rising from USD 24.19 Billion in 2025 to USD 108.61 Billion by 2031, reflecting a CAGR of 28.44%. This market encompasses sophisticated computational systems engineered to automate content creation, refine distribution processes, and provide personalized viewing experiences via predictive analytics. Growth is chiefly driven by the surging demand for customized content suggestions and the imperative to enhance operational efficiency amid escalating production expenses. Additionally, the adoption of generative AI is fast-tracking creative tasks like visual effects and scriptwriting, allowing media entities to optimize supply chains and achieve substantial resource savings.

However, the industry encounters a major obstacle concerning the dependability and precision of automated outputs, which poses a threat to editorial standards and brand standing. The occurrence of algorithm-induced inaccuracies or hallucinations is a distinct worry for broadcasters and publishers who demand exactness. For instance, a 2025 study by the European Broadcasting Union found that 45% of AI-generated responses in news applications contained at least one major error. This reliability gap necessitates rigorous human supervision, consequently delaying the widespread deployment of autonomous systems and hindering broader market growth.

Market Driver

The swift integration of generative AI into creative content production is transforming the media supply chain by automating intricate processes such as scriptwriting, visual effects, and localization. This technological evolution enables studios to shorten production cycles and optimize resource allocation, transitioning from experimental phases to comprehensive implementation. According to Google Cloud's September 2025 report, 'ROI of Gen AI in Media and Entertainment,' 72% of media executives report that their companies are already achieving compounding returns from these initiatives. As these tools advance, they allow creators to generate high-quality assets at significantly lower costs, meeting the industry's demand for scalable content creation while alleviating financial strains.

Concurrently, the refinement of targeted advertising through predictive audience analytics is fueling major revenue growth by enabling platforms to offer highly personalized viewer experiences. Advertisers are increasingly using machine learning to parse extensive user behavior data, ensuring commercial content reaches specific demographics with great accuracy. This efficiency is highlighted by financial results; the Interactive Advertising Bureau's 'Internet Advertising Revenue Report' from April 2025 noted that digital ad revenue reached a record $258.6 billion in 2024, driven largely by AI-powered personalization and measurement. This ability to monetize is vital as consumption patterns shift; the Reuters Institute's 'Digital News Report' from June 2025 reveals that 15% of consumers under 25 now rely on AI assistants as their main news source, underscoring the need for adaptive strategies.

Market Challenge

The Global AI and ML in Media and Entertainment Market encounters a substantial hurdle regarding the dependability and factual correctness of automated content creation. Media entities rely heavily on sustaining brand credibility and public confidence, making the dissemination of algorithmically generated errors or hallucinations a significant risk. Since current generative models can produce misleading or incorrect narratives, organizations must implement rigorous human oversight layers. This necessity for manual verification undermines the expected efficiency improvements and cost savings, effectively stalling the incorporation of these technologies into essential production workflows.

As a result, the risk of reputational harm curbs the enthusiasm of broadcasters and publishers to utilize autonomous systems for public-facing uses. This reluctance is bolstered by audience skepticism concerning the authenticity of machine-generated media. According to the Reuters Institute for the Study of Journalism, in 2024, 52% of U.S. respondents expressed discomfort with news primarily produced by AI, citing concerns over accuracy and misinformation. This lack of consumer trust prevents the market from expanding into high-value automated content distribution, restricting AI application to lower-risk administrative tasks.

Market Trends

The rise of adaptive non-player character (NPC) intelligence in video game development marks a significant transition from static scripts to dynamic, reactive entities that enhance player immersion. Developers are increasingly applying machine learning to populate virtual worlds with NPCs that possess autonomous decision-making capabilities and realistic social interactions, creating more organic and unpredictable environments without the need for exhaustive manual coding. This trend is gaining momentum as studios aim to boost replayability and engagement; according to Unity's 'Unity Gaming Report 2024' released in March 2024, 64% of developers using AI for world-building now employ these tools specifically to create and populate NPCs.

At the same time, the deployment of AI-driven automated sports highlight generation is transforming how broadcasters capture and distribute live content to mobile-first audiences. By utilizing computer vision algorithms that instantly recognize key moments like goals, baskets, or crowd reactions, rights holders can automatically edit and format clips for immediate social media sharing, drastically cutting the delay inherent in traditional editing. This innovation meets the demand for rapid, short-form content on platforms such as TikTok and Instagram; WSC Sports reported in December 2024 that the production of AI-generated vertical video highlights increased by 81% year-over-year, driven by the growing appetite for mobile-optimized viewing.

Key Market Players

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• NVIDIA Corporation
• Adobe Inc.
• Synthesia Ltd
• Veritone, Inc.
• Sony Corporation
• Oracle Corporation

Report Scope

In this report, the Global AI and ML in Media and Entertainment Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI and ML in Media and Entertainment Market, By Solutions

• Hardware
• Services

AI and ML in Media and Entertainment Market, By Application

• Gaming
• Fake Story Detection
• Plagiarism Detection Personalization
• Production Planning & Management
• Sales & Marketing
• Talent Identification
• Content Capture
• Others

AI and ML in Media and Entertainment Market, By End User

• Film and Television
• Music
• Sports
• Media Agencies
• Others

AI and ML in Media and Entertainment Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI and ML in Media and Entertainment Market.

Available Customizations:

Global AI and ML in Media and Entertainment Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AI and ML in Media and Entertainment Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Solutions (Hardware, Services)
  • 5.2.2. By Application (Gaming, Fake Story Detection, Plagiarism Detection Personalization, Production Planning & Management, Sales & Marketing, Talent Identification, Content Capture, Others)
  • 5.2.3. By End User (Film and Television, Music, Sports, Media Agencies, Others)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America AI and ML in Media and Entertainment Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Solutions
  • 6.2.2. By Application
  • 6.2.3. By End User
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States AI and ML in Media and Entertainment Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Solutions
      • 6.3.1.2.2. By Application
      • 6.3.1.2.3. By End User
  • 6.3.2. Canada AI and ML in Media and Entertainment Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Solutions
      • 6.3.2.2.2. By Application
      • 6.3.2.2.3. By End User
  • 6.3.3. Mexico AI and ML in Media and Entertainment Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Solutions
      • 6.3.3.2.2. By Application
      • 6.3.3.2.3. By End User

7. Europe AI and ML in Media and Entertainment Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Solutions
  • 7.2.2. By Application
  • 7.2.3. By End User
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany AI and ML in Media and Entertainment Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Solutions
      • 7.3.1.2.2. By Application
      • 7.3.1.2.3. By End User
  • 7.3.2. France AI and ML in Media and Entertainment Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Solutions
      • 7.3.2.2.2. By Application
      • 7.3.2.2.3. By End User
  • 7.3.3. United Kingdom AI and ML in Media and Entertainment Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Solutions
      • 7.3.3.2.2. By Application
      • 7.3.3.2.3. By End User
  • 7.3.4. Italy AI and ML in Media and Entertainment Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Solutions
      • 7.3.4.2.2. By Application
      • 7.3.4.2.3. By End User
  • 7.3.5. Spain AI and ML in Media and Entertainment Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Solutions
      • 7.3.5.2.2. By Application
      • 7.3.5.2.3. By End User

8. Asia Pacific AI and ML in Media and Entertainment Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Solutions
  • 8.2.2. By Application
  • 8.2.3. By End User
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China AI and ML in Media and Entertainment Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Solutions
      • 8.3.1.2.2. By Application
      • 8.3.1.2.3. By End User
  • 8.3.2. India AI and ML in Media and Entertainment Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Solutions
      • 8.3.2.2.2. By Application
      • 8.3.2.2.3. By End User
  • 8.3.3. Japan AI and ML in Media and Entertainment Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Solutions
      • 8.3.3.2.2. By Application
      • 8.3.3.2.3. By End User
  • 8.3.4. South Korea AI and ML in Media and Entertainment Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Solutions
      • 8.3.4.2.2. By Application
      • 8.3.4.2.3. By End User
  • 8.3.5. Australia AI and ML in Media and Entertainment Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Solutions
      • 8.3.5.2.2. By Application
      • 8.3.5.2.3. By End User

9. Middle East & Africa AI and ML in Media and Entertainment Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Solutions
  • 9.2.2. By Application
  • 9.2.3. By End User
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia AI and ML in Media and Entertainment Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Solutions
      • 9.3.1.2.2. By Application
      • 9.3.1.2.3. By End User
  • 9.3.2. UAE AI and ML in Media and Entertainment Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Solutions
      • 9.3.2.2.2. By Application
      • 9.3.2.2.3. By End User
  • 9.3.3. South Africa AI and ML in Media and Entertainment Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Solutions
      • 9.3.3.2.2. By Application
      • 9.3.3.2.3. By End User

10. South America AI and ML in Media and Entertainment Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Solutions
  • 10.2.2. By Application
  • 10.2.3. By End User
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil AI and ML in Media and Entertainment Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Solutions
      • 10.3.1.2.2. By Application
      • 10.3.1.2.3. By End User
  • 10.3.2. Colombia AI and ML in Media and Entertainment Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Solutions
      • 10.3.2.2.2. By Application
      • 10.3.2.2.3. By End User
  • 10.3.3. Argentina AI and ML in Media and Entertainment Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Solutions
      • 10.3.3.2.2. By Application
      • 10.3.3.2.3. By End User

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global AI and ML in Media and Entertainment Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. IBM Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Microsoft Corporation
• 15.3. Google LLC
• 15.4. Amazon Web Services, Inc.
• 15.5. NVIDIA Corporation
• 15.6. Adobe Inc.
• 15.7. Synthesia Ltd
• 15.8. Veritone, Inc.
• 15.9. Sony Corporation
• 15.10. Oracle Corporation

16. Strategic Recommendations

17. About Us & Disclaimer