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Soaring Demand Set to Propel Generative AI In Movies Market to $0.95 Billion by 2029

07-28-2025 07:49 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Generative AI In Movies Market

Generative AI In Movies Market

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What Is the Expected CAGR for the Generative AI In Movies Market Through 2025?
The market size for generative AI in the film industry has witnessed a boom recently. It is expected to expand from $0.32 billion in 2024 to $0.4 billion in 2025, showcasing a Compound Annual Growth Rate (CAGR) of 24.3%. The historical surge can be traced back to factors such as reduced labor expenses, heightened efficiency, superior creativity, better visual effects, and creative investigation.

What's the Projected Size of the Global Generative AI In Movies Market by 2029?
The market size of generative AI in movies is projected to experience considerable growth in the coming years, reaching an estimated value of $0.95 billion in 2029 with a CAGR of 24.0%. This expected growth during the projected period is linked to various factors such as the cross-disciplinary influence, the acceptance by audience, ethical aspects, improvements in algorithms, computational strength, and the availability and quality of data. The forecast period will likely see key trends such as adaptation of scripts in real-time, the development of virtual actors, AI-driven enhancements of visual effects, predictive analytics for the success of box offices, AI-powered film restoration and remastering, and the development of AI characters possessing emotional intelligence.

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Top Growth Drivers in the Generative AI In Movies Industry: What's Accelerating the Market?
The projected surge in consumer entertainment expenditure is likely to contribute to the expansion of the generative AI in movies market. This kind of spending denotes the funds used by individuals and households on amusement activities for personal enjoyment. Generative AI equipment has the capacity to automate recurring tasks in the film production pipeline such as scripting, scene creation, and visual effects design, thereby allowing a more efficient production process and enabling creators to realize their concepts faster. For instance, The Numbers, a US firm providing in-depth financial analysis of films, including box office, DVD, and Blu-ray sales reports, and release schedules, revealed in October 2024 that the total number of movie tickets sold in the US domestic market escalated from 702 million in 2022 to 830 million in 2023. Subsequently, the overall domestic box office revenue also saw an increase, going up from $7.3 billion in 2022 to $8.9 billion in 2023. Hence, this rise in consumer entertainment expenditure is fueling the growth of the generative AI in movies market.

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What Trends Will Shape the Generative AI In Movies Market Through 2029 and Beyond?
Leading businesses involved in the movies sector's generative AI market are aiming to create innovative products that transform content production, storytelling, and audience interaction such as text-to-video artificial intelligence which can improve effectiveness, creativity, and innovation in film creation. The concept of text-to-video artificial intelligence involves an AI system that transforms written information into video content, using natural language processing and computer vision algorithms to create dynamic visual content from the text provided. For example, Runway AI, Inc., an American artificial intelligence firm, introduced Gen-1 and Gen-2 AI tools in May 2023 to create videos with differing features. Gen-1, also known as video-to-video, allows individuals to develop new videos using existing ones by choosing a video, selecting a style reference, and reviewing iterations until the final version. Gen-2 is a text-to-video service, available on a limited basis, enabling users to generate videos in a range of styles in response to a given text prompt.

What Are the Main Segments in the Generative AI In Movies Market?
The generative AI in movies market covered in this report is segmented -
1) By Type: Content Generation, Visual Effects, Postproduction And Editing, Budget Optimization, Audience Engagement, Creative Inspiration
2) By Deployment: Cloud-Based, Hybrid
3) By Application: Filmmaking And Production, Virtual Reality (VR) And Augmented Reality (AR), marketing And Promotion, Movie Recommendation

Subsegments:
1) By Content Generation: Script Writing Assistance, AI-Generated Storylines And Plots, Dialogue And Character Development
2) By Visual Effects: AI-Powered Animation And CGI Creation, Realistic Simulation Of Environments And Characters, Special Effects Automation
3) By Postproduction And Editing: AI-Driven Video Editing Tools, Automated Color Correction And Grading, Sound Editing And Enhancement
4) By Budget Optimization: AI-Based Cost Estimation And Management, Resource Allocation And Scheduling Optimization, Financial Risk Assessment And Forecasting
5) By Audience Engagement: Personalized Movie Recommendations, Targeted marketing Campaigns, AI-Driven Social Media Interaction
6) By Creative Inspiration: AI-Assisted Creative Brainstorming, Music And Visual Mood Generation, Character And Setting Concept Generation

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Which Top Companies are Driving Growth in the Generative AI In Movies Market?
Major companies operating in the generative AI in movies market report are Sony Corporation; NVIDIA Corporation; Adobe Inc; Autodesk Inc; Midjourney Inc; WĒTĀ FX LIMITED; Stability AI; Hugging Face Inc.; Synthesia Limited; Runway AI Inc; AI21 Labs; Aleph Alpha; Deepdub Inc; DeepBrain AI Inc; SoluLab Inc; Fable Studio; Inworld AI; Wonder Dynamics; Accubits Technologies Inc; Kaliber Labs Inc; Luma AI Inc; OpenAI Inc; ScriptBook; ElevenLabs

Which Regions Will Dominate the Generative AI In Movies Market Through 2029?
North America was the largest region in the generative AI in movies market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in movies market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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