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市場調查報告書

商品編碼

1797946

全球媒體人工智慧市場：預測（至 2032 年）—按組件、部署方法、公司規模、技術、應用、最終用戶和地區進行分析

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: 2025年08月07日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球媒體 AI（人工智慧）市場預計在 2025 年達到 109 億美元，到 2032 年將達到 828 億美元，預測期內的複合年成長率為 33.5%。

媒體人工智慧是指將機器學習、自然語言處理和電腦視覺等人工智慧技術融入跨媒體平台的內容創作、分發、個人化和分析。這可以實現自動編輯、即時建議、觀眾行為分析和精準廣告投放，從而提高業務效率和用戶參與度。人工智慧正在徹底改變新聞、娛樂和廣播的工作流程，使媒體公司能夠做出數據主導的決策，並大規模地交付高度客製化的內容。

對虛擬助理和聊天機器人的需求不斷成長

受各媒體平台對虛擬助理和聊天機器人日益成長的需求推動，媒體領域的人工智慧市場正迎來強勁成長動能。這些智慧系統支援全天候客戶互動，透過個人化內容傳送增強用戶參與度，並分析使用者行為模式以最佳化串流媒體體驗。人工智慧聊天機器人顯著提升了客戶服務能力，同時降低了營運成本，使媒體公司能夠提供即時回應和有針對性的內容推薦，從而提高觀眾的留存率和滿意度。

可解釋性有限

由於人工智慧演算法的可解釋性有限，尤其是在內容推薦系統和自動化決策流程方面，媒體人工智慧市場面臨著巨大的限制。媒體公司在向相關人員解釋人工智慧主導的內容策劃決策方面面臨挑戰，這引發了影響消費者信任和監管合規性的透明度問題。此外，複雜人工智慧模型的「黑盒子」特性使得媒體相關人員難以理解演算法偏見模式，這可能導致內容分發出現偏差，並降低人們對編輯流程的信任度。

人工智慧驅動的假新聞檢測工具

假訊息的傳播為媒體生態系統中基於人工智慧的假新聞檢測技術帶來了重大機會。先進的機器學習演算法可以分析內容模式、檢驗來源可信度並即時識別被操縱的媒體，為媒體機構提供維護編輯誠信的強大工具。此外，這些人工智慧系統可以同時處理大量訊息，使報導機構能夠實施自動化事實查核機制，從而提高內容的可信度，同時降低人工檢驗成本和回應時間。

生成性人工智慧濫用

生成式人工智慧可能製造深度造假內容、合成內容以及複雜的假訊息宣傳活動，對媒體誠信構成重大威脅。該技術能夠製作極具說服力的虛假影片和經過操縱的數位內容，這危及公眾對媒體可信度的信任，並有可能透過誤導性敘事影響公眾輿論。此外，生成式人工智慧工具的日益普及降低了創作欺騙性內容的門檻，為報導機構區分真實資訊和人工生成的資訊帶來了挑戰。

COVID-19的影響：

新冠疫情加速了媒體平台對人工智慧的採用，各大公司紛紛利用人工智慧進行內容監控、情緒分析，並在封鎖期間增強數位溝通。人工智慧工具廣泛監測社群媒體管道，分析大眾對疫情演變的情緒，並透過自動化事實查核系統促進資訊的準確傳播。此外，向遠端內容消費的轉變也促使媒體公司更快採用人工智慧主導的個人化技術。

解決方案部分預計將成為預測期內最大的部分

由於對支援內容創作、分發和受眾分析的專業軟體工具和平台的需求至關重要，預計解決方案細分市場將在預測期內佔據最大市場佔有率。媒體公司優先考慮全面的人工智慧解決方案，這些解決方案應與現有基礎設施無縫整合，並提供自動化工作流程功能、內容個人化引擎和預測分析工具。此外，該細分市場受益於持續的技術進步，為媒體公司提供了可擴展的平台，用於最佳化內容、增強受眾參與度並提高業務效率。

預計在預測期內，雲端基礎的部分將以最高的複合年成長率成長。

預計雲端基礎細分市場將在預測期內實現最高成長率。與本地部署方案相比，雲端基礎的人工智慧解決方案展現出卓越的擴充性、成本效益和可訪問性，推動了各媒體機構的快速採用。此細分市場的成長得益於雲端平台能夠處理大量數據，實現無縫人工智慧模式更新，並促進媒體團隊之間的遠端協作。此外，雲端基礎的部署無需大量的領先基礎設施投資，同時提供內容個人化和最佳化受眾參與度所需的即時分析功能。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於Google、亞馬遜和IBM等科技巨頭的集中，它們正在推動媒體應用的尖端人工智慧發展。該地區受益於對研發的大量投資、先進的技術基礎設施，以及娛樂、新聞和廣告領域對人工智慧媒體解決方案的廣泛採用。此外，主要串流媒體平台和媒體集團的存在正在加速人工智慧整合舉措，支持其繼續佔據市場主導地位。

複合年成長率最高的地區：

預計亞太地區在預測期內的複合年成長率最高，這得益於中國、印度和韓國等國家快速推進的數位轉型。網路普及率的提高、智慧型手機普及率的提升以及對在地化內容個人化的需求不斷成長，正在推動對人工智慧媒體技術的投資。此外，該地區龐大的人口基數為人工智慧主導的受眾分析、精準廣告和內容最佳化解決方案提供了巨大的機會，媒體公司正在積極探索這些解決方案。

部署方法

雲端基礎
本地

免費客製化服務

此報告的訂閱者可以從以下免費自訂選項中選擇一項：

公司簡介
- 對最多三家其他公司進行全面分析
- 主要企業的SWOT分析（最多3家公司）
區域分類
- 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭基準化分析
- 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲國家
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 其他亞太地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第12章：主要趨勢

合約、商業夥伴關係和合資企業
企業合併與收購（M&A）
新產品發布
業務擴展
其他關鍵策略

第13章：企業概況

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

簡介目錄圖表

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

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

簡介目錄圖表

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)