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

According to Mordor Intelligence, the AI video generation for OTT market size is expected to grow from USD 1.13 billion in 2025 to USD 1.61 billion in 2026 and is forecast to reach USD 5.24 billion by 2031 at 26.62% CAGR over 2026-2031.

This report is Segmented by Generation Type (Text-To-Video Generation, Image-To-Video Generation, and More), End User (Streaming Platforms, Film Studios and Production Houses, Broadcasters and Television Networks, and More), and Geography (North America, South America, Europe, Asia-Pacific, Middle East, and Africa). The Market Forecasts are Provided in Terms of Value (USD).

Global AI Video Generation For OTT Market Trends and Insights

Faster OTT Content Turnaround and Shorter Production Cycles

The AI video generation for OTT market benefits when services need more content without extending production calendars. Netflix reported in 2026 that generative AI helped produce 17 minutes of documentary footage at half the cost and twice the speed of conventional methods. This result shows how the AI video generation for OTT market can support defined tasks rather than replace a full production process. Faster creation can make catalog refreshes, seasonal content, and extensions of existing intellectual property more practical for broadcasters and studios. It also lets streaming platforms test narrower formats before committing to a larger production budget. In the AI video generation for OTT market, this makes production speed a direct factor in decisions on which projects receive funding.

Scalable Localization, Dubbing, and Versioning of OTT Content

Localization remains a major cost and timing constraint for international streaming distribution. South Korea's K-FAST initiative localized more than 1,200 titles, totaling 1,400 hours, into English, Spanish, and Portuguese during 2025 and 2026. The program reached 100 million cumulative views in 22 countries through 20 AI-dubbed FAST channels within 5 months. This scale suggests that AI-assisted dubbing can help rights holders monetize libraries in markets where conventional dubbing has been difficult to justify. Deepdub introduced an agentic dubbing co-worker in April 2026 for use within its production workflow. The AI video generation for OTT market can therefore gain from language adaptation, versioning, and lip-sync work that follows platform expansion.

Intellectual Property, Copyright, and Talent Likeness Risks

Legal and consent requirements can slow the use of generated video in commercial workflows. New York enacted the AI Transparency Law in December 2025, and the law took effect on June 9, 2026. It requires disclosure of synthetic performers in commercial advertising and provides civil penalties of up to USD 5,000 for later violations. The state also enacted a posthumous right of publicity law to address unauthorized digital replicas of deceased performers. Netflix requires written approval when AI output involves final deliverables, talent likeness, personal data, or third-party intellectual property. These controls add review steps in the AI video generation for OTT market, particularly where recognizable people or existing assets are involved.

Other drivers and restraints analyzed in the detailed report include:

1. Growing Demand for AI-Generated Trailers, Promos, and Advertisements
2. Automated Creation of Short-Form Content Derivatives for Social Platforms
3. Inconsistent Output Quality and Enterprise-Grade Brand-Safety Concerns

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

Segment Analysis

Text-to-video generation accounted for 41.63% of AI video generation for OTT market in 2025 and is projected to grow at a 27.48% CAGR through 2031. Its position reflects the familiarity of text prompts for creative teams that already work from scripts, treatments, and production briefs. Text input also avoids the image preparation step that image-to-video work often requires. ByteDance made Seedance 2.5 available through the BytePlus API in July 2026, supporting 30-second continuous generation in a single API call. Runway released Gen-4.5 in December 2025, while Google introduced Veo 3 in May 2025, and both developments supported improved video fidelity. These models are increasingly relevant for post-production enhancements, scene visualization, concept reels, and promotional material.

Image-to-video generation serves a different role by animating existing stills, concept art, archival material, and continuity frames. It can support intellectual-property extension and synthetic pickup work in the AI video generation for OTT market when a production has approved visual source material. Lionsgate's plan to generate short-form series from its catalog illustrates a workflow that can use existing visual assets. Audio-to-video and style-transfer tools also have relevance in campaigns that require a consistent look across advertising placements. The AI video generation for OTT industry faces greater rights review when tools use recognizable images, catalog assets, or talent likenesses. Netflix's guidance on generative AI requires approval for material involving final deliverables, personal data, talent likeness, and third-party intellectual property. That review process can preserve text-to-video leadership where teams seek less complex paths to approved use.

Complete Report Scope:

• By Generation Type
  • Text-to-Video Generation
  • Image-to-Video Generation
  • Other Generation Types
• By End User
  • Streaming Platforms
  • Film Studios and Production Houses
  • Broadcasters and Television Networks
  • 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 41.56% of global revenue in 2025. The AI video generation for OTT market in the region combines large streaming services, startup investment, and established post-production capacity. Runway raised USD 315 million in February 2026 at a USD 5.3 billion valuation, with General Atlantic leading the round. NVIDIA, Fidelity Management and Research, AllianceBernstein, Adobe Ventures, and AMD Ventures participated in the financing. New York's 2025 legislation is also influencing deployment policies at regional studios and broadcasters. Canada offers a secondary adoption base through its visual-effects sector, while Mexico supports Spanish-language localization.

Asia-Pacific is projected to grow at a 26.93% CAGR through 2031. The region is defined by high-volume, mobile-first content production rather than only quality enhancement for established catalogs. China Mobile Migu introduced an AI short-drama creation platform in July 2026 that integrates several models into an automated production chain. The company said the platform reduced total production costs by more than 30%. JioStar's JAMS program and Tadka micro-drama show the same focus on short serialized video in India. South Korea's K-FAST program further shows how public support can combine localization and international channel distribution.

Europe, South America, the Middle East, and Africa represented smaller but important parts of the AI video generation for OTT market in 2025. Europe's use is influenced by rules on synthetic media, transparency, documentation, and human oversight. These requirements can increase implementation work for regulated broadcasters and platforms. South America is supported by Spanish and Portuguese localization needs, with Brazil and Argentina serving as primary commercial markets. Gulf Cooperation Council countries support earlier-stage use in the Middle East through media technology investment and high OTT spending. Africa's role will depend on mobile streaming growth and the declining cost of multilingual dubbing tools.

1. Adobe Inc.
2. Amazon Web Services, Inc.
3. ByteDance Ltd.
4. Google LLC
5. NVIDIA Corporation
6. OpenAI, Inc.
7. Runway AI, Inc.
8. Synthesia Limited
9. HeyGen Inc.
10. Pika Labs, Inc.
11. Stability AI Ltd.
12. Kaiber AI, Inc.
13. Canva Pty Ltd
14. Microsoft Corporation
15. WPP plc
16. Publicis Groupe S.A.
17. Shenzhen Jianying Technology Co., Ltd.
18. Flawless AI Ltd.

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 Faster OTT Content Turnaround and Shorter Production Cycles
  • 4.2.2 Scalable Localization, Dubbing, and Versioning of OTT Content
  • 4.2.3 Growing Demand for AI-Generated Trailers, Promos, and Advertisements
  • 4.2.4 Automated Creation of Short-Form Content Derivatives for Social Platforms
  • 4.2.5 Increasing Use of Synthetic Pickups and Reshoots to Extend Existing Footage
  • 4.2.6 Metadata-Aware Generation of Personalized Video Assets Across OTT Catalogs
• 4.3 Market Restraints
  • 4.3.1 Intellectual Property, Copyright, and Talent Likeness Risks
  • 4.3.2 Inconsistent Output Quality and Enterprise-Grade Brand-Safety Concerns
  • 4.3.3 High Compute and Storage Costs for Long-Form, High-Resolution Video Generation
  • 4.3.4 Limited Interoperability Between AI Video Tools and Existing OTT Production Workflows
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Buyers
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry
• 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Generation Type
  • 5.1.1 Text-to-Video Generation
  • 5.1.2 Image-to-Video Generation
  • 5.1.3 Other Generation Types
• 5.2 By End User
  • 5.2.1 Streaming Platforms
  • 5.2.2 Film Studios and Production Houses
  • 5.2.3 Broadcasters and Television Networks
  • 5.2.4 Other End Users
• 5.3 By Geography
  • 5.3.1 North America
    • 5.3.1.1 United States
    • 5.3.1.2 Canada
    • 5.3.1.3 Mexico
  • 5.3.2 South America
    • 5.3.2.1 Brazil
    • 5.3.2.2 Argentina
    • 5.3.2.3 Chile
    • 5.3.2.4 Rest of South America
  • 5.3.3 Europe
    • 5.3.3.1 Germany
    • 5.3.3.2 United Kingdom
    • 5.3.3.3 France
    • 5.3.3.4 Italy
    • 5.3.3.5 Spain
    • 5.3.3.6 Rest of Europe
  • 5.3.4 Asia-Pacific
    • 5.3.4.1 China
    • 5.3.4.2 Japan
    • 5.3.4.3 India
    • 5.3.4.4 South Korea
    • 5.3.4.5 Australia
    • 5.3.4.6 Rest of Asia-Pacific
  • 5.3.5 Middle East
    • 5.3.5.1 Saudi Arabia
    • 5.3.5.2 United Arab Emirates
    • 5.3.5.3 Qatar
    • 5.3.5.4 Rest of Middle East
  • 5.3.6 Africa
    • 5.3.6.1 South Africa
    • 5.3.6.2 Egypt
    • 5.3.6.3 Nigeria
    • 5.3.6.4 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, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Adobe Inc.
  • 6.4.2 Amazon Web Services, Inc.
  • 6.4.3 ByteDance Ltd.
  • 6.4.4 Google LLC
  • 6.4.5 NVIDIA Corporation
  • 6.4.6 OpenAI, Inc.
  • 6.4.7 Runway AI, Inc.
  • 6.4.8 Synthesia Limited
  • 6.4.9 HeyGen Inc.
  • 6.4.10 Pika Labs, Inc.
  • 6.4.11 Stability AI Ltd.
  • 6.4.12 Kaiber AI, Inc.
  • 6.4.13 Canva Pty Ltd
  • 6.4.14 Microsoft Corporation
  • 6.4.15 WPP plc
  • 6.4.16 Publicis Groupe S.A.
  • 6.4.17 Shenzhen Jianying Technology Co., Ltd.
  • 6.4.18 Flawless AI Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment