Artificial Intelligence in Film and TV: Strategic Intelligence

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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.

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.

Key Highlights

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.

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.

Adobe
Amazon
Autodesk (Wonder Dynamics)
Banijay
Blackmagic
Bilibili
Brahma (Metaphysic)
Camb.ai
Casting Droid
Cinelytic
Comcast
Deepdub
Deluxe
Disney
Flawless AI
IBM
Industrial Light & Magic
Infosys
Intel
iQiyi
Iyuno
Kling
Lionsgate
Magnific
MARZ
Method Studios
Midjourney
Netflix
OpenAI
Particle6
Pixellot
Runway
RTL (Fremantle)
Spiideo
Superscout.ai
SyncWords
Topaz Labs
Warner Bros. Discovery

Table of Contents

Executive Summary

Players

Value Chain

The Impact of AI on Film and TV

Case Studies

Companies

Sector Scorecard

Glossary

Further Reading

Our Thematic Research Methodology

Report Authors

About GlobalData

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