OTT용 생성형 AI 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the generative AI for OTT market size was valued at USD 1.69 billion in 2025 and estimated to grow from USD 2.48 billion in 2026 to reach USD 7.52 billion by 2031, at a CAGR of 24.84% during the forecast period (2026-2031).

This report is Segmented by Content Type (Movies and Films, TV Shows and Episodic Content, Documentaries, and More), Application (AI Script and Content Generation, AI Localization (Translation, Dubbing and Voice Cloning), and More), End User (Broadcasters and Television Networks, Digital Media and Content Agencies, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Generative AI For OTT Market Trends and Insights

Increasing Demand for AI-Accelerated Content Localization

The Generative AI for OTT market benefits from a shift toward simultaneous multilingual distribution instead of sequential releases by country. AI localization gives platforms a way to extend catalog reach across language markets with shorter production cycles. ElevenLabs introduced Dubbing v2 in May 2026, which uses the original performance to preserve tone, pacing, and delivery across more than 90 languages. This approach supports a closer match between the original performance and localized audio. Lower localization costs can reduce the library scale needed to enter a new language market. That change can increase competitive pressure on global platforms because regional producers may be able to reach audiences outside their home markets more easily.

Shift Toward Personalized Streaming Experiences

The Generative AI for OTT market is also being shaped by personalization that goes beyond ranked recommendation lists. Netflix's GenPage research described a system that uses viewer history and request context to generate homepage layouts rather than select from pre-ranked title lists. The research found that richer prompt context produced greater improvements than a larger model. This places more value on accurate behavioral data and clear viewer context. AWS described a conversational discovery assistant that responds to mood-based requests using Bedrock AgentCore and Nova Sonic 2.0. Canal+ also signed agreements with Google Cloud and OpenAI in March 2026 to support AI-driven discovery and natural-language search across European and African operations.

IP Ownership Uncertainty for Synthetic Assets

Uncertainty over AI-generated content and training data remains a restraint on the Generative AI for OTT market. The United States has no binding federal right of publicity, leaving studios to navigate state-level rules for replicated voices and likenesses. SAG-AFTRA members ratified a 4-year studio contract in 2026 that permits synthetic performers when they provide significant additional value compared with a live actor. Studios and unions may interpret this language differently until more cases establish precedent. Smaller operators may struggle to assess rights-chain validity across a large library without dedicated legal resources. The cost of this review can limit deployment at the scale required to achieve meaningful savings.

Other drivers and restraints analyzed in the detailed report include:

1. Broad Adoption of Generative Video and Voice Tools in Post-Production Workflows
2. Pressure to Reduce Content Operations Costs and Turnaround Time
3. Talent and Guild Pushback on Automated Creative Substitution

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Movies and films held 35.40% share in 2025. Feature-length productions can generate substantial value from visual effects enhancement, historical scene recreation, and crowd augmentation. Netflix reported that AI-supported work on a documentary segment reduced both production time and cost. Documentaries are also becoming a relevant use case because reconstruction can reduce reliance on live-action recreation or licensed archive footage. Gennie Studio used AI-reconstructed reenactments for the Killer Kings documentary series on Sky HISTORY, which Sphere Abacus distributed globally.

TV shows and episodic content is projected to record a 25.53% CAGR through 2031. Serialized formats create repeated opportunities for metadata tagging, trailer creation, dubbing updates, and subtitle generation. The same workflow can be applied through several episodes and multiple production cycles. The Others category includes short-form vertical drama and micro-content. ByteDance's daily advertising spend on AI-generated short dramas on Douyin exceeded CNY 70 million, equivalent to USD 9.6 million, in March 2026.

Complete Report Scope:

• By Content Type
  • Movies and Films
  • TV Shows and Episodic Content
  • Documentaries
  • Other Content Types
• By Application
  • AI Script and Content Generation
  • AI Localization (Subtitles, Translation, Dubbing and Voice Cloning)
  • AI Customer Engagement (Virtual Assistants and Chatbots)
  • Other Applications
• By End User
  • Streaming Platforms
  • Broadcasters and Television Networks
  • Digital Media and Content Agencies
  • Other End Users
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Qatar
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America held 40.44% of the Generative AI for OTT market size in 2025. The region combines large streaming platforms, post-production technology vendors, and model developers with active commercial deployments. Runway raised USD 315 million in February 2026 at a USD 5.3 billion valuation, with General Atlantic leading the round and NVIDIA, Adobe Ventures, and AMD Ventures participating. Canada benefits from its visual-effects sector, while Mexico is a growing target for Spanish-language localization.

Asia-Pacific is projected to grow at a 25.18% CAGR through 2031. Linguistic diversity, expanding subscription bases, and the pursuit of lower production costs support adoption across the region. India accounted for 12% of the region's projected USD 22.1 billion content spend in 2026. JioStar announced JioStar GenAI Media Studio as an end-to-end AI-native production pipeline in 2026. In China, AI-generated drama viewership reached 750 billion views in Q1 2026, according to data from Douyin's marketing platform.

Europe, South America, the Middle East, and Africa have different adoption patterns because of local regulation and market maturity. The EU AI Act Article 50 takes effect on August 2, 2026, and requires machine-readable provenance marks for synthetic content distributed in the European Union. Canal+ used both production workflow tools and natural-language content discovery across European and African markets from June 2026. Brazil and Argentina provide localization opportunities for Portuguese and Spanish content. Middle East platforms, including MBC Shahid, have conducted AI dubbing trials in Arabic, while Africa can benefit as mobile streaming expands and localization becomes more economical.

1. Adobe Inc.
2. Amazon Web Services, Inc.
3. Alphabet Inc.
4. Apple Inc.
5. Baidu, Inc.
6. ByteDance Ltd.
7. Comcast Corporation
8. Digital Domain Holdings Limited
9. ElevenLabs Inc.
10. International Business Machines Corporation
11. Microsoft Corporation
12. Meta Platforms, Inc.
13. Netflix, Inc.
14. NVIDIA Corporation
15. OpenAI OpCo, LLC
16. Oracle Corporation
17. Runway AI, Inc.
18. Snap Inc.
19. Stability AI Ltd.
20. Tencent Holdings Limited

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Increasing Demand for AI-Accelerated Content Localization
  • 4.2.2 Rising Need for Faster Trailer, Thumbnail, and Metadata Production
  • 4.2.3 Shift Toward Personalized Streaming Experiences
  • 4.2.4 Broad Adoption of Generative Video and Voice Tools in Post-Production Workflows
  • 4.2.5 Expansion of Cloud-Native Creative Pipelines Across OTT Platforms
  • 4.2.6 Pressure to Reduce Content Operations Costs and Turnaround Time
• 4.3 Market Restraints
  • 4.3.1 IP Ownership Uncertainty for Synthetic Assets
  • 4.3.2 Talent and Guild Pushback on Automated Creative Substitution
  • 4.3.3 Model Hallucination and Brand-Safety Risks in Consumer-Facing Outputs
  • 4.3.4 Content Authenticity, Watermarking, and Provenance Compliance Burden
• 4.4 Industry Value Chain Analysis
• 4.5 Technology and Workflow Landscape
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Impact of Macroeconomic Factors on the Market
• 4.9 Porter's Five Forces Analysis
  • 4.9.1 Threat of New Entrants
  • 4.9.2 Bargaining Power of Suppliers
  • 4.9.3 Bargaining Power of Buyers
  • 4.9.4 Threat of Substitutes
  • 4.9.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Content Type
  • 5.1.1 Movies and Films
  • 5.1.2 TV Shows and Episodic Content
  • 5.1.3 Documentaries
  • 5.1.4 Other Content Types
• 5.2 By Application
  • 5.2.1 AI Script and Content Generation
  • 5.2.2 AI Localization (Subtitles, Translation, Dubbing and Voice Cloning)
  • 5.2.3 AI Customer Engagement (Virtual Assistants and Chatbots)
  • 5.2.4 Other Applications
• 5.3 By End User
  • 5.3.1 Streaming Platforms
  • 5.3.2 Broadcasters and Television Networks
  • 5.3.3 Digital Media and Content Agencies
  • 5.3.4 Other End Users
• 5.4 By Geography
  • 5.4.1 North America
    • 5.4.1.1 United States
    • 5.4.1.2 Canada
    • 5.4.1.3 Mexico
  • 5.4.2 South America
    • 5.4.2.1 Brazil
    • 5.4.2.2 Argentina
    • 5.4.2.3 Chile
    • 5.4.2.4 Rest of South America
  • 5.4.3 Europe
    • 5.4.3.1 Germany
    • 5.4.3.2 United Kingdom
    • 5.4.3.3 France
    • 5.4.3.4 Italy
    • 5.4.3.5 Spain
    • 5.4.3.6 Rest of Europe
  • 5.4.4 Asia-Pacific
    • 5.4.4.1 China
    • 5.4.4.2 Japan
    • 5.4.4.3 India
    • 5.4.4.4 South Korea
    • 5.4.4.5 Australia
    • 5.4.4.6 Rest of Asia-Pacific
  • 5.4.5 Middle East
    • 5.4.5.1 Saudi Arabia
    • 5.4.5.2 United Arab Emirates
    • 5.4.5.3 Qatar
    • 5.4.5.4 Rest of Middle East
  • 5.4.6 Africa
    • 5.4.6.1 South Africa
    • 5.4.6.2 Egypt
    • 5.4.6.3 Nigeria
    • 5.4.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Vendor Positioning Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Products and Services, Recent Developments)
  • 6.4.1 Adobe Inc.
  • 6.4.2 Amazon Web Services, Inc.
  • 6.4.3 Alphabet Inc.
  • 6.4.4 Apple Inc.
  • 6.4.5 Baidu, Inc.
  • 6.4.6 ByteDance Ltd.
  • 6.4.7 Comcast Corporation
  • 6.4.8 Digital Domain Holdings Limited
  • 6.4.9 ElevenLabs Inc.
  • 6.4.10 International Business Machines Corporation
  • 6.4.11 Microsoft Corporation
  • 6.4.12 Meta Platforms, Inc.
  • 6.4.13 Netflix, Inc.
  • 6.4.14 NVIDIA Corporation
  • 6.4.15 OpenAI OpCo, LLC
  • 6.4.16 Oracle Corporation
  • 6.4.17 Runway AI, Inc.
  • 6.4.18 Snap Inc.
  • 6.4.19 Stability AI Ltd.
  • 6.4.20 Tencent Holdings Limited

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment