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Strategic Intelligence: Artificial Intelligence in Film and TV

Publisher GlobalData
Published Oct 30, 2025
SKU # GBDT20601985

Description

Strategic Intelligence: Artificial Intelligence in Film and TV

Summary

AI is increasingly used throughout the film and TV industry to automate routine tasks, improve decision-making, and personalize audience experiences.

Media spending on AI will hit $12.5 billion in 2029

Artificial intelligence (AI) refers to software-based systems that use data inputs to make decisions on their own. Simply put, the technology enables machines to perform tasks that typically require human intelligence. AI is increasingly used throughout the film and TV industry to automate routine tasks, improve decision-making, and personalize audience experiences. According to GlobalData forecasts, media companies’ spending on AI will grow at a compound annual growth rate (CAGR) of 37.2% between 2024 and 2029, from $2.6 billion to $12.5 billion.

AI is reshaping every stage of film and TV production

AI is becoming a key tool in every step of the filmmaking process. In pre-production, AI tools streamline casting, location scouting, budgeting, and project forecasting, helping teams evaluate creative and commercial scenarios faster. During production, AI is inherent in motion capture technology, a widespread and crucial filmmaking tool. Post-production benefits from AI-powered editing, color grading, visual effects (VFX), and localization tools that can assemble footage and apply consistent treatments far quicker than traditional frame-by-frame methods. Marketing and distribution use AI for targeted advertising, content recommendation, and audience analytics, increasing engagement amid subscription fatigue. Finally, AI can help personalize audience recommendations, moderate reviews, and measure sentiment.

Studios will continue to face backlash for their AI use

Generative AI promises faster, cheaper VFX, but comes at the cost of potential backlash. Audiences and creators are concerned that AI is replacing human artistry. Public skepticism centers on perceived lower-quality results, potential job losses, and a lack of transparency around what is machine-made. Misattributions-where handcrafted work is mistaken for AI-can fuel distrust and controversy, while undisclosed AI use intensifies fears of losing human creativity. To mitigate reputational damage, studios should clearly communicate when and how they use AI, balance automation with human oversight, and properly credit and reward artists. Without transparency, even demonstrable efficiency gains may provoke audience resentment, harm brand trust, and prompt calls for industry standards or regulation.

Artificial intelligence (AI) refers to software-based systems that use data inputs to make decisions on their own. Simply put, the technology enables machines to perform tasks that typically require human intelligence. AI is increasingly used throughout the film and TV industry to automate routine tasks, improve decision-making, and personalize audience experiences.

Scope
  • This report provides an overview of AI and how it will impact the film and TV industry.
  • The report predicts how AI in film and TV will evolve, including the key challenges it will solve.
  • It includes selected case studies highlighting who is innovating in film and TV using AI technologies.
  • The report also includes a comprehensive data analysis, including market size and growth forecasts for the AI market.
Reasons to Buy
  • GlobalData’s thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors.
  • This report is essential for senior executives at film and TV companies to understand the critical benefits from integrating AI technology into their operations. Film and TV companies who fail to implement AI solutions will fall behind.
  • In addition, the report identifies the leading AI adopters in film and TV, as well as specialist tech vendors in this space.

Table of Contents

Executive Summary
Players
Value Chain
Advanced AI capabilities
The Impact of AI on Film and TV
Pre-production
Production
Post-production
Marketing
Distribution and exhibition
End-user engagement
How AI addresses inefficiencies in the production and editorial process
How AI helps tackle the challenge of localizing content
How AI helps tackle the challenge of generating visual effects
How AI helps tackle the challenge of shrinking marketing budgets
How AI helps tackle the challenge of subscription fatigue
Case Studies
OpenAI is producing an AI-made animated feature film
Flawless AI’s technology makes dubbing look seamless
Autodesk Flow Studio accelerates the process of motion capture
AI production company Particle6 created an AI actress
Infosys’ agentic AI generates commentary and highlight reels for tennis tournaments
Lionsgate is working with Runway to train its own AI model
Companies
Leading AI adopters in film and TV
Specialist AI vendors in Film and TV
Sector Scorecard
Music, film, and TV sector scorecard
Who’s who
Thematic screen
Valuation screen
Risk screen
Glossary
Further Reading
GlobalData reports
Our Thematic Research Methodology
About GlobalData
Contact Us
List of Tables
Table 1: Leading AI adopters in film and TV
Table 2: Specialist AI vendors in Film and TV
Table 3: Glossary
Table 4: GlobalData reports
List of Figures
Figure 1: Key players in AI
Figure 2: The AI value chain
Figure 3: There are five categories of advanced AI capabilities
Figure 4: Thematic investment matrix
Figure 5: Generative AI in media presents growing opportunities
Figure 6: Artists draw the sketches, which are then transformed by generative AI
Figure 7: TrueSync syncs new language audio to the original footage
Figure 8: Autodesk Flow Studio converts live-action footage into motion data
Figure 9: Particle6’s AI actress Tilly Norwood
Figure 10: Who does what in the music, film, and TV space?
Figure 11: Thematic screen
Figure 12: Valuation screen
Figure 13: Risk screen
Figure 14: Our five-step approach for generating a sector scorecard

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