미디어, 엔터테인먼트 및 컨텐츠 작성용 에이전트 AI 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the agentic aI market size in media, entertainment, and content creation is expected to grow from USD 1.76 billion in 2025 to USD 2.37 billion in 2026, and is forecast to reach USD 10.09 billion by 2031 at a 33.61% CAGR over 2026-2031.

This report is Segmented by Application (Production and Content Creation, Post-Production and VFX, and More), AI Autonomy Level (Assistive AI, and More), Deployment Model (On-Premises, Cloud, and Hybrid), End-User (Film and TV Studios, and More), Component (Software Platforms, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Agentic AI In Media, Entertainment, And Content Creation Market Trends and Insights

Generative AI Cost Declines Enabling Indie Creators

A 70% drop in inference pricing between early 2024 and late 2025 lowered entry barriers and allowed YouTube producers to complete minute-long videos for under USD 50. Funding flowed to AI-native outfits such as Sozee and Channel Farm, which automate scripting, storyboard creation, and asset generation. No-code orchestration tools that chain OpenAI, Anthropic, and Cohere models removed the need for engineering talent. OpenAI's pricing for GPT-4 Turbo dropped from USD 0.03 per 1,000 tokens in January 2024 to USD 0.01 by December 2025, while image-generation costs on platforms like Midjourney and Stability AI fell below USD 0.01 per frame, enabling creators to produce short-form video content for under USD 50 per minute of finished output. As costs fall further, independent creators seize long-tail niches that large studios overlook, reshaping the volume and diversity of new releases.

Streaming Platforms' Demand for Hyper-Personalized Content

Recommendation engines now influence more than four out of five viewing hours, and services like Disney+ and Spotify embed generative AI to craft localized trailers, thumbnails, podcast intros, and even alternate story arcs. Research indicates that tailored experiences can increase retention by up to 25%, translating into billions in additional recurring revenue. This economic logic drives platforms to adopt semi-agentic systems that generate and tag content at scale while adhering to cultural nuance and regional rules.

Ethical Concerns Over Synthetic Actors and Deepfakes

The Screen Actors Guild secured contract clauses in 2025 that require consent and residuals for the use of digital likeness, reducing compliance costs for studios. High-profile lawsuits, including a USD 5 million settlement involving an unauthorized AI replica of a major actor, highlighted legal exposure. Surveys show most consumers favor stricter rules on synthetic media, and EU regulations now mandate watermarking. Companies must embed consent management and disclosure into workflows or risk reputational damage and enforcement penalties.

Other drivers and restraints analyzed in the detailed report include:

1. Rise of Virtual Production Stages in Film-Making
2. Cloud-GPU Price Wars Among Hyperscalers
3. High IP Licensing Costs for Model Training

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

Segment Analysis

The Agentic AI market in media, entertainment, and content creation recorded a 38.31% share in production and content creation in 2025, reflecting widespread adoption of generative video editors and AI-assisted asset builders. Studios shortened editing cycles from weeks to days and cut concept-art costs by up to 40%. In contrast, localization and translations are projected to post a 34.81% CAGR through 2031, fueled by multilingual voice cloning that unlocks archival libraries for Hindi, Portuguese, and Arabic audiences at a fraction of prior re-dubbing costs.

Localization technology now replicates tone and cadence across 32 languages with 95% fidelity, enabling platforms to refresh back catalogs and expand addressable markets quickly. As a result, the Agentic AI market size in media, entertainment, and content creation, tied to localization roles, is poised to expand far faster than legacy tasks such as color grading. Studios also harness post-production AI for mask removal, frame interpolation, and 4K upscaling, further compressing workloads previously handled by large VFX teams.

Assistive AI maintained 51.24% of 2025 spending as creators relied on text-prompt editors and image generators to augment manual workflows. Semi-agentic solutions added structured autonomy, chaining subtasks while still requiring user approval at decision nodes. Looking ahead, fully agentic systems should log a 34.21% CAGR to 2031, driven by function-calling large language models that query databases, schedule renders, and publish assets without human mediation.

In content moderation and real-time subtitle creation, fully agentic deployments already shrink turnaround from hours to minutes. Yet scriptwriting and cinematography remain assistive domains where human taste carries premium value. Providers that map autonomy levels to task complexity will achieve optimal productivity, pushing the Agentic AI market share of full agents in media, entertainment, and content creation higher without alienating creative teams.

Geography Analysis

North America delivered 37.72% of 2025 revenue thanks to Hollywood's early investment in LED volumes and Silicon Valley's concentration of foundation-model labs. U.S. studios benefit from flexible, sector-specific regulation, although new union clauses on synthetic likenesses tighten permissible use. Canada's 58% VFX tax credit has attracted overseas post-production work to Vancouver, while Mexico's nearshore facilities offer cost advantages for episodic shoots, keeping the regional Agentic AI market stable yet distributed across media, entertainment, and content creation.

Asia-Pacific is projected to register a 34.59% CAGR through 2031, fueled by China's mass-market Douyin video avatars, Japan's AI-assisted anime in-betweening that offsets skilled-labor shortages, and India's 200 million-strong creator base leveraging local-language text-to-video generation. ByteDance's 2025 rollout of AI-generated video avatars on Douyin, which allows users to create personalized content without filming, reached over 100 million users within six months, demonstrating the scale at which Chinese platforms can deploy agentic systems. South Korea's mobile game leaders are integrating AI assets to reduce level design time by roughly 40%, reinforcing the region's upward trajectory and closing the revenue gap with North America.

Europe continues to demonstrate strong adoption of advanced technologies, driven by the United Kingdom's innovative virtual stages and Germany's highly specialized VFX studios. However, the region faces challenges that could impact its growth trajectory, particularly due to the compliance costs associated with the EU AI Act and the mandatory watermarking requirements. These regulatory measures may slow down growth when compared to the more dynamic markets of North America and Asia-Pacific. On the other hand, South America, the Middle East, and Africa, while currently smaller markets, are showing promising potential. Brazil's USD 500 million investment in the gaming sector is expected to drive significant advancements, while the United Arab Emirates is actively fostering growth through sovereign AI incentives. These incentives aim to establish post-production hubs in key locations such as Abu Dhabi and Dubai, signaling the emergence of budding hotspots that could help increase regional market share by 2031.

1. Adobe Inc.
2. OpenAI, L.L.C.
3. NVIDIA Corporation
4. Amazon Web Services, Inc.
5. Alphabet Inc.
6. Meta Platforms, Inc.
7. Microsoft Corporation
8. Stability AI Ltd.
9. Runway AI, Inc.
10. Synthesia Ltd.
11. Epic Games, Inc.
12. Unity Software Inc.
13. IBM Corporation
14. SoundHound AI, Inc.
15. Descript, Inc.
16. ElevenLabs, Inc.
17. Shutterstock, Inc.
18. DeepMind Technologies Limited
19. WetaFX Ltd.
20. Cinesite Group

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 Generative AI Cost Declines Enabling Indie Creators
  • 4.2.2 Streaming Platforms' Demand for Hyper-Personalised Content
  • 4.2.3 Rise of Virtual Production Stages in Film-Making
  • 4.2.4 Cloud-GPU Price Wars Among Hyperscalers
  • 4.2.5 Generative Voice and Dubbing Tools Localising Back-Catalogs
  • 4.2.6 Foundation Model Fine-Tuning Marketplaces
• 4.3 Market Restraints
  • 4.3.1 Ethical Concerns Over Synthetic Actors and Deepfakes
  • 4.3.2 High IP Licensing Costs for Model Training
  • 4.3.3 Regulatory Uncertainty Around AI-Generated Content
  • 4.3.4 Compute Supply Bottlenecks for Agentic Orchestration
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Application
  • 5.1.1 Production and Content Creation
  • 5.1.2 Post-Production and VFX
  • 5.1.3 Marketing and Advertising
  • 5.1.4 Gaming and Interactive Media
  • 5.1.5 Broadcast and Streaming Operations
  • 5.1.6 Localisation and Translations
• 5.2 By AI Autonomy Level
  • 5.2.1 Assistive AI
  • 5.2.2 Semi-Agentic AI
  • 5.2.3 Fully Agentic AI
• 5.3 By Deployment Model
  • 5.3.1 On-Premises
  • 5.3.2 Cloud
  • 5.3.3 Hybrid
• 5.4 By End-User
  • 5.4.1 Film and TV Studios
  • 5.4.2 Publishers and Media Houses
  • 5.4.3 Advertising and Creative Agencies
  • 5.4.4 Game Studios
  • 5.4.5 Independent Creators and SMEs
• 5.5 By Component
  • 5.5.1 Software Platforms
  • 5.5.2 Services
  • 5.5.3 Hardware Accelerators
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 United Arab Emirates
      • 5.6.5.1.2 Saudi Arabia
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Egypt
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share 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 OpenAI, L.L.C.
  • 6.4.3 NVIDIA Corporation
  • 6.4.4 Amazon Web Services, Inc.
  • 6.4.5 Alphabet Inc.
  • 6.4.6 Meta Platforms, Inc.
  • 6.4.7 Microsoft Corporation
  • 6.4.8 Stability AI Ltd.
  • 6.4.9 Runway AI, Inc.
  • 6.4.10 Synthesia Ltd.
  • 6.4.11 Epic Games, Inc.
  • 6.4.12 Unity Software Inc.
  • 6.4.13 IBM Corporation
  • 6.4.14 SoundHound AI, Inc.
  • 6.4.15 Descript, Inc.
  • 6.4.16 ElevenLabs, Inc.
  • 6.4.17 Shutterstock, Inc.
  • 6.4.18 DeepMind Technologies Limited
  • 6.4.19 WetaFX Ltd.
  • 6.4.20 Cinesite Group

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment