Thematic Intelligence: Artificial Intelligence in Film and TV (2024)

Thematic Intelligence: Artificial Intelligence in Film and TV (2024)



Summary

AI will become a $1 trillion market by 2030 > 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. For decades, AI was the domain of university and corporate R&D labs. Recent progress in machine learning (ML) on the back of improved algorithms (e.g., Google’s AlphaGo, OpenAI’s GPT-3) and increasing computing power have enabled AI to solve real-life problems. GlobalData estimates the total AI market will be worth $1 trillion by 2030, up from $103 billion in 2023 at a compound annual growth rate of 39%. In the coming decade, the country that emerges on top in AI will lead the Fourth Industrial Revolution.

Specialist vendors are key to AI integration in film and TV > The abundance of intricate, process-driven workflows in film and TV production demands both time and resources. With rising costs and shrinking budgets, incumbents must partner with the array of specialist AI vendors that have emerged in the sector over the last 10 years to accelerate AI integration cost-effectively. These companies focus on using AI to increase the efficiency of specific processes such as filming, script analysis, casting, location scouting, budgeting, video editing, and visual effects. This will subsequently shorten production times and reduce costs.

TV broadcasters are falling behind in AI adoption > The adoption of AI in TV broadcasting is low compared to that of subscription video-on-demand (SVoD) services. TV broadcasting companies currently use AI for basic functionalities like speech-to-text and data analysis to enhance the viewer experience. As AI is becoming increasingly consumer-facing following the release of ChatGPT, these companies must start integrating newer AI creation capabilities into user interfaces to compete with streaming platforms. Many broadcasters have identified streaming as the natural avenue for AI integration and have instead adopted AI more broadly upon the launch of their online counterparts. Broadcasting companies must ensure that these capabilities also extend to their traditional TV broadcasting efforts

Film and TV companies are investing in AI to enhance productivity, efficiency and quality. The impact of AI in film and TV is already significant and will only grow in the coming years.

Key Highlights
  • AI plays a crucial role in enhancing efficiency, quality, and graphical capability across the film and TV value chain. Both AI creation and AI decision-making should be explored at every step of the film and TV value chain. Film and TV companies are constantly under pressure to make pivotal decisions that directly impact their revenue. AI can help alleviate this burden by providing data-driven insights into what will generate the most revenue and promote efficiency.
  • Creation is a subject that has split the film and TV sector, with some companies embracing it across the value chain and others taking a hardline stance against it. However, creation has the potential to augment the film making process through the generation of new content for processes like ideation, storyboarding, script editing, marketing, and end-user engagement, and should therefore be a key investment focus. Human-AI interaction is mostly relevant to the film and TV sector through computer vision, and so should be invested in for production, post-production, and distribution & exhibition. For example, computer vision algorithms can analyze footage both during and after filming, helping filmmakers create higher-quality productions. Computer vision can also be used to ensure quality control after a film is distributed to end-users. Motion is only relevant for the production stage of the film and TV value chain through the use of robotic camera systems that can automate shooting sequences. All other stages of the media chain should ignore motion capabilities.
Scope
  • This report provides an overview of the AI theme and how it will impact the film & TV sector.
  • 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.
  • The report also includes a comprehensive data analysis, including market size and growth forecasts for AI.
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 that 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 film and TV vendors in this space.


Executive Summary
Players
Value Chain
Impact Assessment
Case Studies
Market Size and Growth Forecasts
AI Timeline
Signals
Companies
Sector Scorecard
Glossary
Further Reading
Thematic Methodology
List of Tables
Table 1 p4: Key players in AI
Table 2 p.5: AI value chain
Table 3 p. 11: Distribution and exhibition
Table 4 p.23: AI timeline
Table 5 p.24-26: AI M&A trends
Table 6 p.30-33: Leading AI adopters in film and TV
Table 7 p.34-35: Specialist AI vendors in film and TV
Table 8 p.36: Thematic Scorecard Company Screen
Table 9 p.37: Thematic Scorecard Thematic Screen
Table 10 p.38: Thematic Scorecard Valuation Screen
Table 11 p.39: Thematic Scorecard Risk Screen
Table 12 pp.40-44: Glossary
Table 13 p.45: Further Reading
List of Figures
Figure 1 p.6: Categories of advanced AI capabilities
Figure 2 p.7: Thematic investment matrix
Figure 3 p.8: Specialist AI vendors are key to bolstering the efficiency of pre-production
Figure 4 p.9: Several high-end film cameras inherently use AI
Figure 5 p.10: AI-enabled software significantly reduces the time involved in post-production
Figure 6 p.12: AI is being used to generate overall ratings, personalize recommendations, and moderate content
Figure 7 p.16: Prime Vision with Next Gen Stats allows fans to visualize numerous in-game statistics
Figure 8 p. 17: MediaPipe’s solution allows Bilibili to optimize on-screen bullets without compromising videos
Figure 9 p. 18: Warner Bros. Discovery taps TikTok Spotlight to promote season two of House of the Dragon
Figure 10 p19: The CMR-M1 overlays AI-generated filters on real images and videos
Figure 11 p.20: Global AI revenue by product, 2019 - 2030
Figure 12 p.21: Global specialized AI applications revenue, 2019 - 2030
Figure 13 p.22: Geographical split of global AI market 2023
Figure 14 p.27: AI-related patents across the media sector grew sharply between 2014 and 2022
Figure 15 p.27: AI-related patents across the media sector grew sharply between 2014 and 2022
Figure 16 p.28: AI-related mentions across the media sector steadily increased between 2017 and 2021
Figure 13 p.29: AI-related job vacancies across the media sector grew over 40 times from Q3 2019 to Q1 2022
Figure 14 p.29: Publishing, broadcasting, gaming, and other media companies are posting AI-related jobs
Figure 15 p.46: Thematic Scorecard Methodology

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