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市场调查报告书
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1797946

全球媒体人工智慧市场：预测（至 2032 年）—按组件、部署方法、公司规模、技术、应用、最终用户和地区进行分析

AI in Media Market Forecasts to 2032 - Global Analysis By Component, Deployment Mode, Enterprise Size (Small & Medium Enterprises and Large Enterprises), Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球媒体 AI（人工智慧）市场预计在 2025 年达到 109 亿美元，到 2032 年将达到 828 亿美元，预测期内的复合年增长率为 33.5%。

媒体人工智慧是指将机器学习、自然语言处理和电脑视觉等人工智慧技术融入跨媒体平台的内容创作、分发、个人化和分析。这可以实现自动编辑、即时建议、观众行为分析和精准广告投放，从而提高业务效率和用户参与度。人工智慧正在彻底改变新闻、娱乐和广播的工作流程，使媒体公司能够做出数据主导的决策，并大规模地交付高度客製化的内容。

对虚拟助理和聊天机器人的需求不断增长

受各媒体平台对虚拟助理和聊天机器人日益增长的需求推动，媒体领域的人工智慧市场正迎来强劲成长动能。这些智慧系统支援全天候客户互动，透过个人化内容传送增强用户参与度，并分析使用者行为模式以优化串流媒体体验。人工智慧聊天机器人显着提升了客户服务能力，同时降低了营运成本，使媒体公司能够提供即时回应和有针对性的内容推荐，从而提高观众的留存率和满意度。

可解释性有限

由于人工智慧演算法的可解释性有限，尤其是在内容推荐系统和自动化决策流程方面，媒体人工智慧市场面临着巨大的限制。媒体公司在向相关人员解释人工智慧主导的内容策划决策方面面临挑战，这引发了影响消费者信任和监管合规性的透明度问题。此外，复杂人工智慧模型的「黑盒子」特性使得媒体相关人员难以理解演算法偏见模式，这可能导致内容分发出现偏差，并降低人们对编辑流程的信任度。

人工智慧驱动的假新闻检测工具

假讯息的传播为媒体生态系统中基于人工智慧的假新闻检测技术带来了重大机会。先进的机器学习演算法可以分析内容模式、检验来源可信度并即时识别被操纵的媒体，为媒体机构提供维护编辑诚信的强大工具。此外，这些人工智慧系统可以同时处理大量讯息，使报导机构能够实施自动化事实查核机制，从而提高内容的可信度，同时降低人工检验成本和回应时间。

生成性人工智慧滥用

生成式人工智慧可能製造深度造假内容、合成内容以及复杂的假讯息宣传活动，对媒体诚信构成重大威胁。该技术能够製作极具说服力的虚假影片和经过操纵的数位内容，这危及公众对媒体可信度的信任，并有可能透过误导性叙事影响公众舆论。此外，生成式人工智慧工具的日益普及降低了创作欺骗性内容的门槛，为报导机构区分真实资讯和人工生成的资讯带来了挑战。

COVID-19的影响：

新冠疫情加速了媒体平台对人工智慧的采用，各大公司纷纷利用人工智慧进行内容监​​控、情绪分析，并在封锁期间增强数位沟通。人工智慧工具广泛监测社群媒体管道，分析大众对疫情演变的情绪，并透过自动化事实查核系统促进资讯的准确传播。此外，向远端内容消费的转变也促使媒体公司更快采用人工智慧主导的个人化技术。

解决方案部分预计将成为预测期内最大的部分

由于对支援内容创作、分发和受众分析的专业软体工具和平台的需求至关重要，预计解决方案细分市场将在预测期内占据最大市场占有率。媒体公司优先考虑全面的人工智慧解决方案，这些解决方案应与现有基础设施无缝集成，并提供自动化工作流程功能、内容个人化引擎和预测分析工具。此外，该细分市场受益于持续的技术进步，为媒体公司提供了可扩展的平台，用于优化内容、增强受众参与度并提高业务效率。

预计在预测期内，云端基础的部分将以最高的复合年增长率成长。

预计云端基础细分市场将在预测期内实现最高成长率。与本地部署方案相比，云端基础的人工智慧解决方案展现出卓越的扩充性、成本效益和可访问性，推动了各媒体机构的快速采用。此细分市场的成长得益于云端平台能够处理大量数据，实现无缝人工智慧模式更新，并促进媒体团队之间的远端协作。此外，云端基础的部署无需大量的领先基础设施投资，同时提供内容个人化和优化受众参与度所需的即时分析功能。

比最大的地区

在预测期内，北美预计将占据最大的市场占有率，这得益于Google、亚马逊和IBM等科技巨头的集中，它们正在推动媒体应用的尖端人工智慧发展。该地区受益于对研发的大量投资、先进的技术基础设施，以及娱乐、新闻和广告领域对人工智慧媒体解决方案的广泛采用。此外，主要串流媒体平台和媒体集团的存在正在加速人工智慧整合倡议，支持其继续占据市场主导地位。

复合年增长率最高的地区：

预计亚太地区在预测期内的复合年增长率最高，这得益于中国、印度和韩国等国家快速推进的数位转型。网路普及率的提高、智慧型手机普及率的提升以及对在地化内容个人化的需求不断增长，正在推动对人工智慧媒体技术的投资。此外，该地区庞大的人口基数为人工智慧主导的受众分析、精准广告和内容优化解决方案提供了巨大的机会，媒体公司正在积极探索这些解决方案。

部署方法

  • 云端基础
  • 本地

免费客製化服务

此报告的订阅者可以从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 简介

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 主要研究资料
    • 二手研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 企业之间的竞争

第五章全球媒体人工智慧市场（按组成部分）

  • 解决方案
    • 基于人工智慧的内容创作工具
    • 建议引擎
    • 媒体分析工具
    • 聊天机器人和虚拟助手
  • 服务
    • 整合和部署
    • 咨询
    • 维护和支援

第六章全球媒体人工智慧市场（以部署方式）

  • 云端基础
  • 本地

第七章 全球媒体人工智慧市场（依公司规模）

  • 小型企业
  • 大公司

8. 全球媒体人工智慧市场（按技术）

  • 机器学习（ML）
  • 自然语言处理（NLP）
  • 电脑视觉
  • 语音辨识
  • 人工智慧世代
  • 其他技术

第九章：全球媒体人工智慧市场（按应用）

  • 内容创作
  • 个性化和建议
  • 媒体规划与采购
  • 受众定位
  • 情绪分析
  • 搜寻优化
  • 翻译和字幕
  • 社群媒体影响者人工智慧
  • 音频克隆和配音
  • 其他用途

第 10 章：全球媒体人工智慧市场（按最终用户）

  • 影视工作室
  • OTT平台
  • 广告代理商
  • 新闻与新闻学
  • 音乐和音讯串流服务
  • 游戏和电子竞技
  • 出版商
  • 社群媒体平台
  • 其他最终用户

第 11 章：全球媒体人工智慧市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併与收购（M&A）
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：企业概况

  • Alphabet Inc.
  • Adobe
  • IBM
  • Nvidia
  • Netflix
  • Disney
  • Paramount Pictures
  • 20th Century Studios
  • Universal Pictures
  • Spotify
  • Veritone
  • Runway（RunwayML）
  • Synthesia
  • Papercup
  • Vizrt
  • RealEyes
  • DeepDub
  • Wonder Dynamics
  • Respeecher
  • Flawless AI
Product Code: SMRC30316

According to Stratistics MRC, the Global AI in Media Market is accounted for $10.9 billion in 2025 and is expected to reach $82.8 billion by 2032 growing at a CAGR of 33.5% during the forecast period. AI in media refers to the integration of artificial intelligence technologies such as machine learning, natural language processing, and computer vision into content creation, distribution, personalization, and analytics across media platforms. It enables automated editing, real-time recommendations, audience behavior analysis, and targeted advertising, thereby improving operational efficiency and user engagement. AI is revolutionizing workflows in journalism, entertainment, and broadcasting, allowing media companies to make data-driven decisions and deliver highly customized content at scale.

Market Dynamics:

Driver:

Growing demand for virtual assistants & chatbots

The AI in media market is experiencing substantial momentum driven by the escalating demand for virtual assistants and chatbots across media platforms. These intelligent systems enable 24/7 customer interaction, enhance user engagement through personalized content delivery, and optimize streaming experiences by analyzing user behavior patterns. AI-powered chatbots significantly improve customer service capabilities while reducing operational costs, enabling media companies to provide instant responses and targeted content recommendations that drive viewer retention and satisfaction.

Restraint:

Limited interpretability

The AI in media market faces significant constraints due to limited interpretability of AI algorithms, particularly in content recommendation systems and automated decision-making processes. Media organizations encounter challenges in explaining AI-driven content curation decisions to stakeholders, creating transparency issues that affect consumer trust and regulatory compliance. Additionally, the "black box" nature of complex AI models makes it difficult for media professionals to understand algorithmic bias patterns, potentially leading to skewed content distribution and reduced credibility in editorial processes.

Opportunity:

AI-driven fake news detection tools

The proliferation of misinformation has created substantial opportunities for AI-driven fake news detection technologies within the media ecosystem. Advanced machine learning algorithms can analyze content patterns, verify source credibility, and identify manipulated media in real-time, offering media organizations powerful tools to maintain editorial integrity. Furthermore, these AI systems can process vast amounts of information simultaneously, enabling news organizations to implement automated fact-checking mechanisms that enhance content reliability while reducing manual verification costs and response times.

Threat:

Misuse of generative AI

Generative AI presents significant threats to media integrity through the potential creation of deepfakes, synthetic content and sophisticated misinformation campaigns. The technology's capability to produce highly convincing fake videos and manipulated digital content poses risks to public trust in media authenticity and can influence public opinion through misleading narratives. Moreover, the accessibility of generative AI tools has lowered barriers for creating deceptive content, creating challenges for media organizations in distinguishing between authentic and artificially generated information.

Covid-19 Impact:

The COVID-19 pandemic positively accelerated AI adoption in media platforms as organizations leveraged artificial intelligence for content monitoring, sentiment analysis, and enhanced digital communication during lockdowns. AI-powered tools monitored social media channels extensively, analyzed public sentiment regarding pandemic developments, and facilitated accurate information dissemination through automated fact-checking systems. Additionally, the shift toward remote content consumption drove media companies to implement AI-driven personalization technologies more rapidly.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to account for the largest market share during the forecast period due to the critical requirement for specialized software tools and platforms that enable content creation, distribution, and audience analytics. Media organizations prioritize comprehensive AI solutions that integrate seamlessly with existing infrastructure, providing automated workflow capabilities, content personalization engines, and predictive analytics tools. Moreover, the segment benefits from continuous technological advancement, offering media companies' scalable platforms for content optimization, viewer engagement enhancement, and operational efficiency improvements.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate. Cloud-based AI solutions demonstrate superior scalability, cost-effectiveness, and accessibility compared to on-premise alternatives, driving their rapid adoption across media organizations. The segment's growth is fueled by cloud platforms' ability to handle massive data processing requirements, enable seamless AI model updates, and facilitate remote collaboration among media teams. Additionally, cloud-based deployment eliminates substantial upfront infrastructure investments while providing real-time analytics capabilities essential for content personalization and audience engagement optimization.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share through its concentration of technology giants, including Google, Amazon, and IBM, which drive cutting-edge AI development for media applications. The region benefits from substantial investments in research and development advanced technological infrastructure, and widespread adoption of AI-powered media solutions across entertainment, news, and advertising sectors. Furthermore, the presence of major streaming platforms and media conglomerates accelerates AI integration initiatives, supporting continued market dominance.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digital transformation initiatives in countries including China, India, and South Korea. Expanding internet penetration, increasing smartphone adoption, and growing demand for localized content personalization fuel substantial investments in AI-powered media technologies. Additionally, the region's large population base presents significant opportunities for AI-driven audience analytics, targeted advertising, and content optimization solutions that media companies actively pursue.

Key players in the market

Some of the key players in AI in Media Market include Alphabet Inc., Adobe, IBM, Nvidia, Netflix, Disney, Paramount Pictures, 20th Century Studios, Universal Pictures, Spotify, Veritone, Runway (RunwayML), Synthesia, Papercup, Vizrt, RealEyes, DeepDub, Wonder Dynamics, Respeecher, and Flawless AI.

Key Developments:

In August 2025, Two new open-weight AI reasoning models from OpenAI released bring cutting-edge AI development directly into the hands of developers, enthusiasts, enterprises, startups and governments everywhere across every industry and at every scale. NVIDIA's collaboration with OpenAI on these open models gpt-oss-120b and gpt-oss-20b is a testament to the power of community-driven innovation and highlights NVIDIA's foundational role in making AI accessible worldwide.

In July 2025, Elior Group and IBM announce their association to create an "agentic AI & Data Factory" to serve Elior Group's innovation, digital transformation, and improved operational performance. This collaboration represents a major step forward in the innovation and digitization of the Elior Group, a world leader in contract catering and services for businesses and local authorities.

In June 2025, Adobe announced innovations in GenStudio, its all-in-one content platform that optimizes the process of planning, creating, managing and measuring marketing content. The latest offerings will fuse creativity, marketing and AI to help businesses quickly produce personalized, on-brand content at scale.

Components Covered:

  • Solutions
  • Services

Deployment Modes:

  • Cloud-Based
  • On-Premises

Enterprise Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Technologies Covered:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Computer Vision
  • Speech Recognition
  • Generative AI
  • Other Technologies

Applications Covered:

  • Content Creation
  • Personalization & Recommendation
  • Media Planning & Buying
  • Audience Targeting
  • Sentiment Analysis
  • Search Optimization
  • Translation & Subtitling
  • Social Media & Influencer AI
  • Voice Cloning & Dubbing
  • Other Applications

End Users Covered:

  • Film & TV Studios
  • OTT Platforms
  • Advertising Agencies
  • News & Journalism
  • Music & Audio Streaming Services
  • Gaming & eSports
  • Publishing Houses
  • Social Media Platforms
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI in Media Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 AI-Based Content Creation Tools
    • 5.2.2 Recommendation Engines
    • 5.2.3 Media Analytics Tools
    • 5.2.4 Chatbots & Virtual Assistants
  • 5.3 Services
    • 5.3.1 Integration & Deployment
    • 5.3.2 Consulting
    • 5.3.3 Maintenance & Support

6 Global AI in Media Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premises

7 Global AI in Media Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global AI in Media Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning (ML)
  • 8.3 Natural Language Processing (NLP)
  • 8.4 Computer Vision
  • 8.5 Speech Recognition
  • 8.6 Generative AI
  • 8.7 Other Technologies

9 Global AI in Media Market, By Application

  • 9.1 Introduction
  • 9.2 Content Creation
  • 9.3 Personalization & Recommendation
  • 9.4 Media Planning & Buying
  • 9.5 Audience Targeting
  • 9.6 Sentiment Analysis
  • 9.7 Search Optimization
  • 9.8 Translation & Subtitling
  • 9.9 Social Media & Influencer AI
  • 9.10 Voice Cloning & Dubbing
  • 9.11 Other Applications

10 Global AI in Media Market, By End User

  • 10.1 Introduction
  • 10.2 Film & TV Studios
  • 10.3 OTT Platforms
  • 10.4 Advertising Agencies
  • 10.5 News & Journalism
  • 10.6 Music & Audio Streaming Services
  • 10.7 Gaming & eSports
  • 10.8 Publishing Houses
  • 10.9 Social Media Platforms
  • 10.1 Other End Users

11 Global AI in Media Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Alphabet Inc.
  • 13.2 Adobe
  • 13.3 IBM
  • 13.4 Nvidia
  • 13.5 Netflix
  • 13.6 Disney
  • 13.7 Paramount Pictures
  • 13.8 20th Century Studios
  • 13.9 Universal Pictures
  • 13.10 Spotify
  • 13.11 Veritone
  • 13.12 Runway (RunwayML)
  • 13.13 Synthesia
  • 13.14 Papercup
  • 13.15 Vizrt
  • 13.16 RealEyes
  • 13.17 DeepDub
  • 13.18 Wonder Dynamics
  • 13.19 Respeecher
  • 13.20 Flawless AI

List of Tables

  • Table 1 Global AI in Media Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in Media Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI in Media Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI in Media Market Outlook, By AI-Based Content Creation Tools (2024-2032) ($MN)
  • Table 5 Global AI in Media Market Outlook, By Recommendation Engines (2024-2032) ($MN)
  • Table 6 Global AI in Media Market Outlook, By Media Analytics Tools (2024-2032) ($MN)
  • Table 7 Global AI in Media Market Outlook, By Chatbots & Virtual Assistants (2024-2032) ($MN)
  • Table 8 Global AI in Media Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global AI in Media Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 10 Global AI in Media Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 11 Global AI in Media Market Outlook, By Maintenance & Support (2024-2032) ($MN)
  • Table 12 Global AI in Media Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 13 Global AI in Media Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 14 Global AI in Media Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 15 Global AI in Media Market Outlook, By Enterprise Size (2024-2032) ($MN)
  • Table 16 Global AI in Media Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 17 Global AI in Media Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 18 Global AI in Media Market Outlook, By Technology (2024-2032) ($MN)
  • Table 19 Global AI in Media Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
  • Table 20 Global AI in Media Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 21 Global AI in Media Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 22 Global AI in Media Market Outlook, By Speech Recognition (2024-2032) ($MN)
  • Table 23 Global AI in Media Market Outlook, By Generative AI (2024-2032) ($MN)
  • Table 24 Global AI in Media Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 25 Global AI in Media Market Outlook, By Application (2024-2032) ($MN)
  • Table 26 Global AI in Media Market Outlook, By Content Creation (2024-2032) ($MN)
  • Table 27 Global AI in Media Market Outlook, By Personalization & Recommendation (2024-2032) ($MN)
  • Table 28 Global AI in Media Market Outlook, By Media Planning & Buying (2024-2032) ($MN)
  • Table 29 Global AI in Media Market Outlook, By Audience Targeting (2024-2032) ($MN)
  • Table 30 Global AI in Media Market Outlook, By Sentiment Analysis (2024-2032) ($MN)
  • Table 31 Global AI in Media Market Outlook, By Search Optimization (2024-2032) ($MN)
  • Table 32 Global AI in Media Market Outlook, By Translation & Subtitling (2024-2032) ($MN)
  • Table 33 Global AI in Media Market Outlook, By Social Media & Influencer AI (2024-2032) ($MN)
  • Table 34 Global AI in Media Market Outlook, By Voice Cloning & Dubbing (2024-2032) ($MN)
  • Table 35 Global AI in Media Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 36 Global AI in Media Market Outlook, By End User (2024-2032) ($MN)
  • Table 37 Global AI in Media Market Outlook, By Film & TV Studios (2024-2032) ($MN)
  • Table 38 Global AI in Media Market Outlook, By OTT Platforms (2024-2032) ($MN)
  • Table 39 Global AI in Media Market Outlook, By Advertising Agencies (2024-2032) ($MN)
  • Table 40 Global AI in Media Market Outlook, By News & Journalism (2024-2032) ($MN)
  • Table 41 Global AI in Media Market Outlook, By Music & Audio Streaming Services (2024-2032) ($MN)
  • Table 42 Global AI in Media Market Outlook, By Gaming & eSports (2024-2032) ($MN)
  • Table 43 Global AI in Media Market Outlook, By Publishing Houses (2024-2032) ($MN)
  • Table 44 Global AI in Media Market Outlook, By Social Media Platforms (2024-2032) ($MN)
  • Table 45 Global AI in Media Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.