01 Industry overview
The ai film industry at a glance
The AI filmmaking market was valued at $3.8 billion in 2025 and is entering a rapid-growth phase, although studio adoption remains cautious and concentrated in selected production and post-production workflows.
- $3.8B[15]
- Global market size, 2025
- 26.2%[15]
- Forecast CAGR, 2026–2033
- 39.0%[15]
- North America share, 2025
- 118,500[2]
- U.S. jobs potentially affected by 2026
- Market size
- The global AI in filmmaking market was valued at $3.8 billion in 2025. Grand View Research estimates that it will reach $4.6 billion in 2026.[15]
- Forecast & CAGR
- The market is forecast to grow from $4.6 billion in 2026 to $23.5 billion in 2033, representing a 26.2% compound annual growth rate from 2026 to 2033.[15]
- Market share & regions
- North America accounted for 39.0% of global AI filmmaking revenue in 2025, making it the largest regional market. A separate regional outlook estimated North America's share at 40.1% in 2024 and forecast a 23.2% CAGR from 2025 to 2033.[15]
- Key players & concentration
- The market includes AI video and production-tool companies such as Runway, alongside major studios including Lionsgate. Public data does not provide a reliable, comparable concentration ratio for the AI filmmaking market; however, Deloitte said in 2025 that major U.S. and European studios were expected to allocate less than 3% of production budgets to generative-AI tools.[20][57]
- Pricing
- Deloitte forecast that generative-AI tools would account for less than 3% of the production budgets of the biggest television and film studios in the United States and European Union in 2025, indicating that tool spending remained a small budget line rather than a dominant cost category.[57]
- Trends, drivers & challenges
- Key drivers include personalized content, lower-cost production workflows and partnerships between AI providers and film companies. The main challenges are copyright, performer consent, uncertain production-quality gains and labor displacement; the Animation Guild estimated that 21.4% of U.S. film, television and animation jobs, or about 118,500 roles, could have enough tasks affected by generative AI to be consolidated, replaced or eliminated by 2026.[15][2]
- Consumer behavior & competition
- Luminate reported in 2025 that U.S. consumers were more likely to feel uncomfortable than comfortable with AI use in most film and television processes, including AI actors and AI-written screenplays. This creates a competitive distinction between companies using AI mainly for behind-the-scenes efficiency and those marketing fully synthetic creative output.[42]
- M&A
- Publicly disclosed activity has centered more on strategic partnerships than completed acquisitions. On September 18, 2024, Lionsgate and Runway announced a collaboration to create and train a model customized to Lionsgate's proprietary film and television portfolio; no reliable industry-wide M&A total was identified.[20]
- Regulation
- SAG-AFTRA's 2026 TV/Theatrical Agreement added further restrictions on synthetic performers and strengthened protections against AI replacing members' work. The agreement also includes notice and discussion obligations concerning licensing performances for AI training.[74]
02 Ranking
Top 10 Companies in the Ai Film Industry
The leading companies in the ai film industry, ranked on market impact, performance, momentum, innovation and brand popularity.
Updated November 10, 2026 · Next review December 10, 2026
OpenAI leads Gitnux's 2026 ai film ranking with an Overall score of 9.5, with Released Sora, a text-to-video AI model for generating film-like video content. Alphabet is the runner-up at 9.3, backed by signals showing 15% R&D as a share of revenue and Veo 3.1 for filmmakers.
Ranked by Overall score · How we score ↓
Editor's top 3 picks
Where to start, by need.
#1 Overall · Leader in text-to-video models
OpenAI
US
Ranked #1 · 9.5 · Text-to-video models
Why we picked it: Sora ties model access to film-like video generation via text prompts.
Leader in short-form video creation
Meta Platforms
US
Ranked #3 · 9.2 · Short-form video creation
Why we picked it: Vibes targets end-user video creation and sharing for short-form synthetic content.
Leader in commercial-safe video generation
Adobe
US
Ranked #5 · 8.9 · Commercial-safe video generation
Why we picked it: Firefly Video is built for commercial safety in text- or image-to-video generation.
Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.
Full ranking
| # | Company | Overall ↓ | Impact | Performance | Momentum | Innovation | Company snapshot |
|---|---|---|---|---|---|---|---|
| 1 | OpenAI Text-to-video models · US | 9.5 | 8.6 | 9.9 | 9.9 | 9.9 | |
Company snapshot · OpenAI · Data as of November 10, 2026 Released Sora, a text-to-video AI model for generating film-like video content.[19]
| |||||||
| 2 | Alphabet Text-to-video models · US | 9.3 | 9.9 | 8.9 | 8.7 | 9.9 | |
Company snapshot · Alphabet · Data as of November 10, 2026 Google's Veo 3.1 is a video model designed to empower filmmakers and storytellers.[76]
| |||||||
| 3 | Meta Platforms Short-form video creation · US | 9.2 | 9.0 | 9.6 | 9.2 | 9.9 | |
Company snapshot · Meta Platforms · Data as of November 10, 2026 Meta AI's Vibes lets users create and share short-form AI-generated videos.[77]
| |||||||
| 4 | ByteDance Text-to-video models · CN | 9.2 | 8.6 | 9.9 | 9.4 | 9.9 | |
Company snapshot · ByteDance · Data as of November 10, 2026 ByteDance launched Seedance 2.0, a next-generation video creation model.[78]
| |||||||
| 5 | Adobe Commercial-safe video generation · US | 8.9 | 9.0 | 8.5 | 8.0 | 9.9 | |
Company snapshot · Adobe · Data as of November 10, 2026 Firefly Video generates commercially safe video from text or images.[14]
| |||||||
| 6 | Synthesia AI video generation with avatars, UK · GB | 8.7 | 7.8 | 9.9 | 9.4 | 7.0 | |
Company snapshot · Synthesia · Data as of November 10, 2026 Provides an AI video generation platform for creating video content with avatars.[63]
| |||||||
| 7 | Stability AI Generative AI image and video models for film, UK · GB | 8.6 | 7.8 | 9.9 | 7.9 | 9.9 | |
Company snapshot · Stability AI · Data as of November 10, 2026 Developer of Stable Video Diffusion, an open AI model for video generation.[79]
| |||||||
| 8 | Pika Consumer and social-first AI video generation · US | 7.9 | 7.0 | 7.0 | 8.5 | 8.5 | |
Company snapshot · Pika · Data as of November 10, 2026 Pika is a video generation platform and app for social-first AI content.[80]
| |||||||
| 9 | Flawless AI AI visual dubbing and film editing tools, US · US | 7.6 | 7.0 | 7.0 | 7.7 | 8.5 | |
Company snapshot · Flawless AI · Data as of November 10, 2026 Developed TrueSync, an AI tool for visual dubbing and reshooting in film.[81]
| |||||||
| 10 | Lightricks AI video and image generation apps, Israel · IL | 7.3 | 7.0 | 7.6 | 7.0 | 8.5 | |
Company snapshot · Lightricks · Data as of November 10, 2026 Creator of LTX Studio, an AI-driven storytelling and video generation platform.[82]
| |||||||
How we score
- Impact (30%): scale and weight in the market (revenue, market share, employees, market position).
- Performance (20%): recent revenue growth and operating margin; an analyst assessment where a company does not publish them.
- Momentum (20%): growth trajectory and future potential.
- Innovation (15%): R&D intensity and how technologically advanced the company is.
Popularity (brand search demand, 15%) counts toward Overall but is not published as a column. Overall leaves out what is not known.
Scale Scores are shown on a 7–10 scale with one decimal; bars start at 7.0.
Cadence Recalculated when new figures are published; next review December 10, 2026.
Independence. Rankings are editorially independent. Scores, ranks, picks and the verdict follow the method above; no company can pay to change them.
Cite this ranking
APA
Kevin O'Brien. (2026, February 13). Top 10 companies in the ai film industry. In AI Film Industry Statistics. Gitnux. https://gitnux.org/ai-film-industry-statistics/#top-companies
03 Trends & forecasts
Top 10 Ai Film Industry Trends & Forecasts 2027
What is changing in the ai film industry, with the evidence behind each trend and a forecast for 2027.
Forecasts were generated by an AI model from the cited evidence. They are estimates, not guarantees.
01Market growth accelerates through 2027
High confidenceThe global AI-in-filmmaking market was valued at $3.8 billion in 2025 and is estimated at $4.6 billion in 2026. Grand View Research forecasts $23.5 billion by 2033, equivalent to a 26.2% CAGR from 2026 to 2033.[15]
Forecast 2027: The market should reach approximately $5.8 billion in 2027 if the reported 26.2% CAGR is maintained. Growth will remain concentrated in production software, post-production tools and enterprise services rather than fully autonomous filmmaking.
02North America retains market leadership
Medium confidenceNorth America accounted for 39.0% of global AI-filmmaking revenue in 2025, making it the largest regional market. A separate regional estimate put the region's share at 40.1% in 2024 and projected a 23.2% CAGR from 2025 to 2033.[15]
Forecast 2027: North America is likely to remain the largest regional market in 2027, with studio partnerships, software investment and a deep concentration of film technology companies supporting adoption. Its share may edge down modestly as European and Asian markets expand faster from smaller bases.
03Studio spending remains below three percent
High confidenceDeloitte forecast that the largest U.S. and European television and film studios would allocate less than 3% of production budgets to generative-AI tools in 2025. This indicates that AI remained a targeted efficiency investment rather than a core production-cost category.[57]
Forecast 2027: In 2027, AI spending should rise as a share of production budgets but remain below 5% for most major studios. Budget growth will favor editing, visualization, localization and effects assistance over fully synthetic features.
04Behind-the-scenes use leads adoption
High confidenceDeloitte described major studios as cautious about generative AI for content creation, even as image, audio and video models become more realistic and controllable. Disney has also highlighted Adobe Firefly Foundry for custom models based on Disney creative assets and visual language.[57][83]
Forecast 2027: By 2027, the highest-volume applications will remain storyboarding, previsualization, rotoscoping, cleanup, dubbing, asset search and marketing localization. Human-led directing, acting and final editorial approval will remain standard for mainstream releases.
05Custom studio models gain traction
High confidenceLionsgate and Runway announced a partnership in September 2024 to create and train an AI model customized to Lionsgate's proprietary film and television portfolio. Disney separately described custom generative-AI models trained on its own creative assets through Adobe Firefly Foundry.[20][83]
Forecast 2027: In 2027, more studios will prefer private or partner-controlled models trained on licensed internal libraries. These systems should expand because they offer stronger brand consistency, rights control and security than general-purpose public models.
06AI video quality improves, but reliability lags
Medium confidenceRecent research describes rapid progress across text-to-image, image-to-video, avatar generation, neural rendering and 3D synthesis, while Deloitte notes improving realism and controllability over longer sessions. Industry analysis nevertheless continues to identify production quality and consistency as adoption constraints.[84][57]
Forecast 2027: In 2027, AI video will become more useful for short shots, concept sequences, background extensions and previs than for complete feature-length scenes. Persistent characters, continuity and precise directorial control should improve, but still require substantial human correction.
07Consumer acceptance favors invisible AI
High confidenceLuminate reported in 2025 that U.S. consumers were more likely to feel uncomfortable than comfortable with AI use in most film and television processes, including AI actors and AI-written screenplays. The same research indicates greater openness to behind-the-scenes uses such as visual and sound effects.[42]
Forecast 2027: In 2027, studios that use AI without making it the selling point are likely to face less audience resistance than companies promoting synthetic actors or end-to-end AI films. Marketing will increasingly emphasize human creators and disclose AI selectively where disclosure is legally required.
08Synthetic performers remain tightly constrained
High confidenceSAG-AFTRA's 2026 TV/Theatrical Agreement, effective from July 1, 2026 through June 30, 2030, adds comprehensive protections for digital replicas and synthetics. The agreement further restricts synthetic performers and strengthens protections against AI replacing members' work.[74]
Forecast 2027: In 2027, licensed digital replicas will grow mainly in controlled uses such as reshoots, dubbing, de-aging and multilingual versions. Fully synthetic lead performers will remain niche because consent, notice, bargaining and reputational risks raise their effective cost.
09AI exposure shifts creative employment
Medium confidenceThe Animation Guild reported that 21.4% of U.S. film, television and animation jobs, or approximately 118,500 roles, could have enough tasks affected by generative AI to be consolidated, replaced or eliminated by 2026. The report identifies particularly high exposure in several animation, technical and post-production occupations.[2]
Forecast 2027: By 2027, employment effects will be more visible as reduced task volumes, smaller teams and greater demand for AI-capable generalists rather than wholesale elimination of every exposed occupation. Storyboarding, concept art, cleanup and some localization work should face the strongest pressure.
10Transparency rules become production requirements
High confidenceThe European Commission says Article 50 transparency obligations under the EU AI Act apply from August 2, 2026. Certain AI-generated or altered content, including deepfakes, must be disclosed or labeled, and providers must support machine-readable marking of synthetic outputs.[85]
Forecast 2027: In 2027, provenance records, metadata, disclosure language and content-labeling workflows will become routine for productions distributed in Europe and increasingly adopted elsewhere. Post-production and distribution systems will need auditable records of where generative tools were used.
04 Statistics
Technology & Innovation
Adoption data points to recurring use rather than one-off pilots: 49% of U.S. decision-makers reported generative AI use in August 2024.
AI in the ai film industry
- 49% of 65 U.S. media and entertainment decision-makers surveyed said their organizations were using generative AI in August 2024.[1]
- 35% of French screen professionals who had used generative AI used it daily or regularly in 2024.[1]
- 40% of 794 French screenwriters, producers, directors and cinematographers surveyed had used generative AI by 2024.[1]
- 77% of French screen professionals who had used generative AI continued using it at least occasionally in 2024.[1]
- 40% of 70 U.K. producers surveyed planned to use generative AI in their production process in 2023.[1]
- 17% of 70 U.K. producers surveyed had used generative AI in their production process in 2023.[1]
Automation in the ai film industry
- About one-third of U.S. film, television and animation business leaders predicted displacement for sound editors and 3D modelers over the three years to 2026.[2]
- About one-third of U.S. film, television and animation business leaders identified re-recording mixers, broadcast technicians, and audio and video technicians as vulnerable to displacement over the three years to 2026.[2]
- 15% of U.S. film, television and animation business leaders predicted displacement for storyboard artists, illustrators, look/surface/materials artists and animators by 2026.[2]
- About 25% of U.S. film, television and animation business leaders identified sound designers, compositors and graphic designers as vulnerable to generative-AI displacement over the three years to 2026.[2]
- About 21.4% of U.S. film, television and animation jobs, equivalent to approximately 118,500 positions, were projected to have enough tasks affected by generative AI to be consolidated, replaced or eliminated by 2026.[2]
- Approximately 39,500 California film, television and animation jobs were projected to be affected by generative AI by 2026.[2]
Digital Transformation in the media and publishing sector (sector benchmark)
- 62% of media respondents said companies are not investing enough in future business models in 2026, indicating a significant transformation funding gap globally.[3]
- 76% of publisher respondents planned to encourage staff to behave more like creators in 2026, reflecting a shift toward creator-oriented digital publishing globally.[3]
- 44% of surveyed news publishers said their newsroom AI initiatives were showing promising results in 2026, while 42% described results as limited globally.[3]
- 94% of media companies reported gains from digital-transformation efforts in 2025, the highest result among industries surveyed globally.[4]
Technology Adoption in the media and publishing sector (sector benchmark)
- 30% of publishers reported using AI for content optimization and personalization in 2025, based on a survey of 50 U.S. and UK publishers.[5]
- 69% of digital-publishing stakeholders expected journalists to have a voice on social media in 2026, according to a survey of 163 publishing-sector participants.[6]
- 22% of publishers reported not using AI for content creation and distribution in 2025, based on a survey of U.S. and UK publishers.[5]
- 76% of publishers were piloting or experimenting with AI on business-side functions in 2025, while 18% were actively deploying AI across multiple functions.[7]
Cloud Computing in the media and publishing sector (sector benchmark)
- 35.4% of media and entertainment respondents identified migration to a multicloud environment as a technology trend driving observability requirements in 2025.[8]
- 39% of media respondents identified cloud-sprawl costs, data-egress charges and unpredictable pricing as a major multicloud pain point in 2023.[9]
- 55% of media respondents identified complexity as their biggest multicloud challenge, including integration, scaling and maintenance issues, in 2023.[9]
- 43% of media respondents cited insufficient internal skills for edge computing or specific cloud environments as a major multicloud challenge in 2023.[9]
- 98% of media respondents expected a majority of their workloads to be cloud-native within 12 months, according to a global media and entertainment survey conducted in 2023.[9]
Big Data in the media and publishing sector (sector benchmark)
- 39% of publishing-sector stakeholders identified data and analytics capabilities as an investment priority for the year ahead in 2025.[10]
- 27.8% of media and entertainment respondents identified integrating business applications into workflows as a technology trend driving observability requirements in 2025.[8]
- 56% of surveyed publishers said unifying data across platforms was a growing challenge in 2025, based on responses from 50 U.S. and UK publishers.[5]
- 35.4% of media and entertainment respondents identified AI adoption as a technology trend driving observability requirements in 2025, reflecting growing use of data-intensive systems.[8]
IoT in the media and publishing sector (sector benchmark)
- 39% of media-industry respondents had already implemented IoT and 5G initiatives in 2025, while 34% were in the process of adopting them across EMEA.[11]
05 Statistics
Data & Analytics
Data integration is a gating factor for AI tools, with 64% of March 2026 publisher respondents citing difficulty integrating data sources.
Business intelligence in the ai film industry
- 34% of media and entertainment organizations were using generative AI organization-wide or across multiple functions for brand discovery and search optimization in 2026.[12]
- 30% of media and entertainment organizations still in early generative-AI testing or discouraging AI use anticipated a decline in profitability in Adobe’s 2025 study.[12]
- 51% of media and entertainment organizations were preparing to optimize content for AI-powered discovery tools in Adobe’s 2026 study.[12]
- 79% of media and entertainment organizations had invested in shared customer-data platforms for generative-AI use in Adobe’s 2026 study.[12]
- 87% of media and entertainment organizations with fully implemented generative-AI solutions forecast improved profitability in Adobe’s 2025 study.[12]
- 59% of media and entertainment organizations were using or evaluating generative AI for ideation and concept development in Adobe’s 2025 study.[12]
Data analytics in the ai film industry
- 59% of consumers surveyed by Adobe said they planned to use AI assistants to engage with media and entertainment in the near future in August 2025.[12]
- 48% of consumers surveyed by Adobe were using AI assistants to engage with media and entertainment in August 2025.[12]
- 51% of consumers surveyed by Adobe always, frequently or sometimes used AI-powered assistants, conversational platforms or search as their primary source for advice or troubleshooting in 2026.[12]
- 39% of consumers surveyed by Adobe said they would use AI for entertainment-related needs such as playlist creation and video suggestions in 2026.[12]
- 47% of surveyed consumers used AI assistants for news and current-events activities in August 2025.[12]
- 59% of surveyed consumers used AI assistants for TV-show or movie activities in August 2025.[12]
Data Quality in the media and publishing sector (sector benchmark)
- 64% of publishers surveyed globally in March 2026 identified difficulty integrating data sources into AI tools as their greatest data challenge.[7]
- 63% of publishers surveyed in 2023 reported low data quality as a challenge when collecting customer data.[7]
- 52% of publishers surveyed in 2023 reported low data quality as a challenge when segmenting customer data.[7]
- 75% of publishers surveyed globally in March 2026 said incomplete, inconsistent or outdated data affected the quality or usefulness of their AI tools.[7]
Data Governance in the media and publishing sector (sector benchmark)
- 72% of European media organisations surveyed in 2025 considered data very important to their daily operations.[13]
- 92% of European media stakeholders surveyed in 2025 required robust data and privacy protection before joining a shared media data space.[13]
- 28% of European media organisations surveyed in 2025 reported having a fully implemented data strategy.[13]
- 46% of European media organisations surveyed in 2025 had a dedicated data team, while 34% had no dedicated data team.[13]
- 37% of European media organisations surveyed in 2025 reported having no data strategy.[13]
- 28% of European media organisations surveyed in 2025 reported having a partially implemented data strategy.[13]
KPIs in the ai film industry
- 10% of surveyed U.S. creators saved more than four hours per video through AI tools in 2025.[14]
- 40% of surveyed U.S. creators reported more brand partnerships after adopting AI video tools in 2025.[14]
- 17% of surveyed U.S. creators reported increased audience engagement after adopting AI video tools in 2025.[14]
- 56% of surveyed U.S. creators saved more than 30 minutes per video through AI tools in 2025.[14]
- 26% of surveyed U.S. creators reported both faster turnaround and better posting consistency after adopting AI video tools in 2025.[14]
- 19% of surveyed U.S. creators reported increased audience watch time or completion rates after adopting AI video tools in 2025.[14]
06 Statistics
Strategy & Growth
The market scales from $4.6 billion in 2026 toward $23.5 billion by 2033, while studio and production-houses hold the largest customer share at 36.0%.
Growth in the ai film industry
- 36.0% was the approximate studios-and-production-houses customer share of the global AI-in-filmmaking market in 2025.[15]
- 26.2% is the projected compound annual growth rate for the global AI-in-filmmaking market from 2026 to 2033.[15]
- 29.0% was the approximate feature-film share of the global AI-in-filmmaking market in 2025.[15]
- $23.5 billion is the projected global AI-in-filmmaking market size for 2033.[15]
- $308 million was raised by Runway in its April 2025 funding round.[16]
- More than $3 billion was Runway's valuation after its April 2025 funding round.[16]
Differentiation in the ai film industry
- 1080p was the native output resolution advertised for Luma's Ray3.14 model.[17]
- 100% of films in the 2025 MIT AI Film Hack used AI-generated video, distinguishing video generation as the cohort's universal tool category.[18]
- 100 million Instagram views were reached by an AI-made fictional watch-brand spec advertisement in 48 hours in 2026.[16]
- 1 reasoning video model, Ray3, was launched by Luma in 2025 for production-oriented filmmaking workflows.[17]
Strategic partnerships in the ai film industry
- 1 three-year licensing agreement was reached between Disney and OpenAI for Sora content generation.[19]
- 1 first-of-its-kind Hollywood-studio partnership was announced between Runway and Lionsgate in 2024.[20]
- 1 production-services company, Innovative Dreams, was launched by Wonder Project and Luma in 2026.[17]
- 1 multi-year strategic partnership was announced between Adobe and Runway in 2025.[21]
- 1 strategic investment and partnership was announced between Promise and Google's AI Futures Fund in 2025.[22]
- 1 exclusive IMAX presentation partnership was formed between Runway and IMAX for the 2025 AI Film Festival.[16]
07 Statistics
People & Workforce
Workforce impact concentrates in specific roles; Animation Guild estimates 21.4% of U.S. film, TV and animation jobs, or about 118,500 roles, could be affected by 2026.
Hiring in the ai film industry
- Disney posted for PhD-level computer graphics and AI talent to bridge research and practical studio applications in 2026.[23]
- 42% of AI-filmmaking job postings reviewed in 2026 mentioned script, story or narrative responsibilities.[24]
- 27% of AI-filmmaking job postings reviewed in 2026 mentioned Premiere, After Effects or Resolve, more often than any generative model.[24]
- 531 AI-filmmaking job postings from 2024 to 2026 covered more than 400 employers in a review of the AI film talent market.[24]
- 29% of AI-filmmaking job postings reviewed in 2026 requested client and stakeholder communication skills.[24]
Remote Work in the media and publishing sector (sector benchmark)
- In the U.S. entertainment and media sector, 37.4% of new job postings were remote in 2024.[25]
- Across independent UK publishers, 84% of staff worked partly or fully from home in 2025.[26]
- Across independent UK publishers, 42% of staff worked fully from home in 2025.[26]
- Across entertainment and media job postings, 369,000 new remote-job listings were recorded globally in 2024.[25]
Hybrid Work in the media and publishing sector (sector benchmark)
- 42% of journalists surveyed globally worked in hybrid arrangements in 2024, compared with 24% working in-office and 34% fully remote.[27]
- Across independent UK publishers, 42% of staff had hybrid working arrangements in 2025.[26]
- Across independent UK publishers, 58% of organizations required full-time staff to work a minimum number of days in the office in 2025.[26]
- Across media and entertainment employers, 87% said their organizations were still struggling to balance hybrid working in 2025.[28]
- 52% of newsroom leaders worldwide said hybrid and flexible working had made recruitment easier in 2023; 28% reported no change and 15% said recruitment became harder.[29]
Upskilling in the ai film industry
- 70% of independent documentary filmmakers surveyed in 2025 said it was important to clearly communicate AI use to funders.[30]
- 59% of independent documentary filmmakers surveyed in 2025 identified as director-producers, with the remainder split between directors and producers.[30]
- 68% of independent documentary filmmakers surveyed in 2025 said it was important to clearly communicate AI use to audiences.[30]
- 21% of independent documentary filmmakers surveyed in 2025 identified as directors.[30]
Employee Engagement in the media and publishing sector (sector benchmark)
- Creative and media employees rated autonomy 8.62 out of 10 in CultureMonkey’s Q3 2026 benchmark.[31]
- Creative and media employees rated work-life balance 7.29 out of 10 in CultureMonkey’s Q3 2026 benchmark.[31]
- Creative and media employees recorded an average eNPS of +22 in CultureMonkey’s Q3 2026 benchmark.[31]
- Creative and media employees scored 7.67 out of 10 for engagement in CultureMonkey’s Q3 2026 benchmark.[31]
- Across communications and public-relations professionals, 89% reported being engaged at work in a 2024 survey.[32]
Change Management in the media and publishing sector (sector benchmark)
- 63% of academic publishers cited inefficient workflows and processes as their biggest internal barrier to change in 2025, while 85% agreed that modernizing production workflows should be a business priority.[33]
- 25% of media and publishing leaders rated the organizational change underway at their companies as substantial or massive, scoring it 8, 9 or 10 on a ten-point scale in 2022.[34]
- 67% of academic publishers identified modernizing systems and workflows as their top strategic priority in 2025, while 21% actively embraced AI as a transformative opportunity.[33]
- 25% of surveyed news workers at one US newsroom thought management had communicated its goals effectively during organizational change.[35]
- 74% of media and publishing leaders agreed or strongly agreed that their company culture encouraged change and innovation in 2022.[34]
08 Statistics
Customer & Sales
Agentic support remains early: 22% of organizations had agentic AI embedded across functions for customer support in 2026.
Customer experience in the ai film industry
- 22% of media and entertainment organizations had agentic AI embedded organization-wide or across multiple functions for customer support in 2026.[12]
- 56% of media and entertainment organizations said their future customer experiences would need to be designed conversational-first in 2026, versus 64% across the wider survey.[12]
Customer retention in the ai film industry
- 49% of media and entertainment organizations reported significant or moderate improvement in customer retention over the previous three years in 2026.[12]
- 58% of media and entertainment organizations expected agentic AI to automate routine customer-service tasks such as FAQs within 18 months in 2026.[12]
Customer acquisition in the ai film industry
- Four in five North American media and entertainment organizations prioritized content partners that adopted generative AI in 2024.[36]
- 54% of media and entertainment organizations reported significant or moderate improvement in customer lead generation over the previous three years in 2026.[12]
- 80% of North American media and entertainment decision-makers said integrating generative AI into products and services was critical to competing in 2024.[36]
Customer loyalty in the ai film industry
- 11% was the expected decrease in time spent with traditional television among surveyed U.S. consumers in 2026.[37]
- 29% was the expected increase in time spent with AI platforms and content among surveyed U.S. consumers in 2026.[37]
- 40% of surveyed U.S. consumers felt overwhelmed by content overload in 2026, affecting how audiences discover entertainment.[37]
09 Statistics
Marketing & Brand
Marketing use is widespread for creative production; 86% of video advertising buyers were using or planning generative AI to build video-ad creative in 2025.
Marketing in the ai film industry
- 86% of video advertising buyers were using or planning to use generative AI to build video-ad creative in 2025.[38]
- 138% was the year-over-year growth in AI-supported campaign volume reported by Spectrum Reach after adopting Waymark.[39]
- 90% of media and entertainment companies expected their organizational investment in AI to increase over the following 24 months in 2024.[40]
- 61% of media and entertainment professionals said advertising would be the revenue stream most impacted by AI in 2024.[40]
Digital marketing in the ai film industry
- 51% of media and entertainment brands were preparing to optimize content for AI-powered discovery tools in 2026.[12]
- 39% of consumers said they would use AI for entertainment needs such as playlist creation and video suggestions in 2026.[12]
- 34% of media and entertainment brands were using generative AI organization-wide or across multiple functions for brand discovery and search optimization in 2026.[12]
Branding in the ai film industry
- 25% of consumers aware of generative AI said they would be more interested in a film or television show if its script was written with generative AI in 2025.[41]
- 39% of consumers aware of generative AI said they would be less interested in a film or television show if they knew its script was written with generative AI in 2025.[41]
Influencer Marketing in the media and publishing sector (sector benchmark)
- 69% of brands using influencer marketing reported using TikTok in 2024, compared with 47% using Instagram, 33% YouTube and 28% Facebook.[43]
- $32.6 billion was the estimated global influencer-marketing market in 2025, up from $24.0 billion in 2024.[44]
- 17% of media-agency respondents in a 2026 survey said they partnered with influencers to create content for retail media globally.[45]
- 56% of brands said generating user-generated content was the main purpose of their influencer campaigns in 2024, versus 23% citing sales generation.[43]
- $37.1 billion was projected for U.S. creator advertising spend in 2025, including sponsored content, paid amplification and planned creator adjacencies.[44]
10 Statistics
Operations & Execution
Measured productivity effects show up in targeted processes, with 5% to 10% productivity increases reported by entertainment leaders in selected production processes in 2025.
Process optimization in the ai film industry
- 5% to 10% productivity increases were reported by entertainment leaders experimenting with AI in selected production processes in 2025.[46]
- 17% of 70 UK producers had used generative AI in their production process in 2023, while 40% planned to use it.[1]
- 77% of French screen-industry respondents who had used generative AI continued using it at least occasionally in 2024.[47]
Operational efficiency in the ai film industry
- 30% is the estimated maximum reduction in television and film costs from generative AI, according to Morgan Stanley’s media analysis.[48]
- 49% of 65 US media and entertainment decision-makers reported using generative AI within their organization in August 2024.[1]
- 100 people filmed a three-part series in one week on a Los Angeles soundstage using AI-generated backgrounds, according to the production report.[49]
- 20,000 film and television titles were included in Lionsgate’s catalogue for its 2024 custom-model partnership with Runway.[50]
Quality management in the ai film industry
- 12 credits per second was the listed generation rate for Runway Gen-4.5 video in 2026, linking output quality and duration directly to production cost.[16]
- 8 concurrent generations were included in Runway Premium compared with 4 on Pro in October 2026.[51]
- 4K output was available on Runway’s Pro and higher plans in 2026, compared with 2K output on the lower listed plan.[51]
- 35% of French screen-industry AI users reported using generative AI daily or regularly in 2024, indicating recurring workflow integration.[47]
Supply chain in the ai film industry
- 36.7% of global virtual-production activity was located in the Americas, 34.56% in Europe, the Middle East and Africa, and 28.74% in Asia-Pacific in 2025.[52]
- 70 UK producers were surveyed in the 2023 study underpinning the screen-sector generative-AI adoption findings.[1]
- 150 employees and approximately $75 million in estimated annual recurring revenue were reported for Runway in 2025.[53]
- 65 US media and entertainment decision-makers were surveyed in August 2024 on organizational generative-AI use.[1]
Outsourcing / Offshoring in the media and publishing sector (sector benchmark)
- 54% of academic publishers outsourced the majority of typesetting to offshore vendors in 2025, based on a global survey concentrated in the United Kingdom and United States.[54]
- 82% of surveyed academic publishers offshored work, according to Deanta’s global academic-publishing survey; the survey year is not stated on the source page.[55]
- 37% of academic publishers outsourced the majority of copyediting to offshore vendors in 2025, based on a global survey concentrated in the United Kingdom and United States.[54]
- 24% of academic publishers outsourced the majority of indexing to offshore vendors in 2025, based on a global survey concentrated in the United Kingdom and United States.[54]
- 28% of academic publishers outsourced the majority of proofreading to offshore vendors in 2025, based on a global survey concentrated in the United Kingdom and United States.[54]
11 Statistics
Finance & Pricing
Pricing is tiered by throughput and output, with listed Runway per-video costs of $1.24, $0.88 and $0.57 for Lite, Pro and Premium monthly plans.
Pricing strategy in the ai film industry
- $1.24, $0.88 and $0.57 were Runway’s approximate per-video costs for Seedance clips on Lite, Pro and Premium monthly plans, respectively, in October 2026.[51]
- $29 per month was Runway’s listed Premium monthly price in October 2026, or $14.50 per month when billed annually.[51]
- $149 per month was Runway’s listed Max monthly price in October 2026, or $99 per month when billed annually.[51]
- $14.90 per month was Runway’s listed Pro monthly price in October 2026, or $13 per month when billed annually.[51]
Cost reduction in the ai film industry
- 30% to 40% was the estimated reduction in film and television content costs from AI over two years, according to Indian entertainment executives in 2025.[56]
- 50% was the estimated AI-related cost reduction for animation companies cited by Green Gold Animation’s founder in India in 2025.[56]
- 10% was Morgan Stanley’s estimated potential generative-AI cost reduction across the media industry in 2025.[48]
- Up to 20% of film budgets can be added by reshoots, which AI-enabled virtual production and reusable assets may help reduce, according to Deloitte.[57]
Profitability in the ai film industry
- $200 million was Runway’s annual recurring revenue in September 2026, according to the company’s co-chief executive.[58]
- $100 million was Kling AI’s annualized revenue run rate in March 2025, reached ten months after launch, according to Kuaishou.[59]
- More than $300 million was Kling AI’s annualized revenue run rate in January 2026, according to Kuaishou.[59]
- RMB340 million was Kling AI’s revenue in the fourth quarter of 2025, according to Kuaishou’s financial presentation.[59]
Financial planning in the ai film industry
- $1.5 billion was Runway’s valuation in its June 2023 Series C extension, according to Sacra’s company analysis.[60]
- $90 million was Sacra’s estimate of Runway’s annualized revenue in June 2025, up from $70 million at the end of 2024.[60]
- $4 billion was the valuation Runway reportedly pursued in mid-2024, according to Sacra’s analysis.[60]
- $200 million was Runway’s estimated annual recurring revenue in August 2026, up 108% from an estimated $96 million at the end of 2025.[61]
12 Statistics
Product & Service
AI asset reuse and multimodal workflows show up in hack results: 54.2% of MIT AI Film Hack films used LLM-assisted scriptwriting.
Product development in the ai film industry
- 53.4% of films in the 2025 MIT AI Film Hack used AI-generated voiceovers.[18]
- 65% of surveyed U.S. creators said producing more video assets was important to achieving their goals in 2026.[62]
- 54.2% of films in the 2025 MIT AI Film Hack used LLM-assisted scriptwriting.[18]
- 23.7% of films in the 2025 MIT AI Film Hack used AI-generated 3D assets.[18]
- 54.2% of films in the 2025 MIT AI Film Hack used AI-generated music or sound effects.[18]
Product lifecycle in the ai film industry
- 42% of surveyed U.S. video creators used AI for transitions and effects in 2025.[14]
- 36% of surveyed U.S. video creators used AI for voiceovers in 2025.[14]
- 56% of surveyed U.S. creators saved more than 30 minutes per video by using AI tools in 2025.[14]
- 37% of surveyed U.S. video creators used AI for music selection in 2025.[14]
- 10% of surveyed U.S. creators cut more than four hours from their workflow per video through AI in 2025.[14]
After-sales in the ai film industry
- 90% of Fortune 100 companies were Synthesia customers by September 2026.[63]
- 50% of Synthesia’s revenue came from the United States by September 2026.[63]
- 45% of consumers said they were comfortable with AI voices in customer service in Adobe’s 2026 survey.[14]
- 58% of media and entertainment organizations expected agentic AI to automate routine customer-service tasks within 18 months in Adobe’s 2026 study.[12]
- 22% of media and entertainment organizations had agentic AI embedded organization-wide or across multiple functions for customer support in Adobe’s 2026 study.[12]
Value proposition in the ai film industry
- 26% of creators who had used a creative AI agent said they could accept a paid project they could not previously take on in 2026.[62]
- 36% of creators who had used a creative AI agent said it enabled them to complete a project that had previously been too complex in 2026.[62]
- 34% of full-time creators reported turning down a paid video opportunity in the previous three months because they lacked the skills in 2026.[62]
- 78% of creators said creative AI was accelerating growth in Adobe’s 2026 survey of more than 2,000 U.S. creators.[62]
13 Statistics
Sustainability & Ethics
Sustainability claims vary by scenario, including estimates of up to 323 times lower carbon emissions for fully AI-generated visual production versus a comparable international shoot in South Africa in 2025.
Sustainability in the ai film industry
- 96% of media and entertainment leaders said their organizations were taking steps to become more sustainable in 2025.[64]
- Up to 323 times lower carbon emissions were reported for a fully AI-generated visual production than for a comparable international shoot in South Africa in 2025.[65]
- Four production scenarios were assessed in a 2025 study comparing AI-generated, studio, Marseille and South Africa visual productions.[65]
- 41% of media and entertainment respondents said they were using AI to enable sustainability in 2025.[64]
ESG in the ai film industry
- 96% of media and entertainment leaders said their organizations were taking sustainability steps, while 41% said they were using AI to support sustainability in 2025.[64]
- The Carbon Trust identified limited and inconsistent environmental disclosure as a barrier to comparing AI video tools used in media production in 2026.[66]
Carbon footprint in the ai film industry
- Approximately 17 million tonnes of CO2 per year were attributed to the audiovisual sector in a 2025 visual-production analysis.[65]
- AI-generated production was estimated to be four times less carbon-intensive than a comparable studio shoot in Paris in 2025.[65]
- Environmental impact was rated 3.1 out of 5 among the concerns of documentary filmmakers assessing generative AI in 2025.[30]
- The Carbon Trust reported that AI video emissions scale quickly because professional-quality content often requires many generations in 2026.[66]
- AI-generated production was estimated to have up to 323 times lower carbon emissions than a comparable traditional international shoot in South Africa in 2025.[65]
14 Statistics
Risk, Compliance & Legal
Risk integration and data leakage concerns are prominent; 85% of communications and media organizations worried increased generative-AI use would lead to more data leakage in 2024.
Compliance in the ai film industry
- 27.5% of surveyed film and television editors reported current use of generative images and video in post-production.[67]
- 93 of 120 film and television editors, or 77.5%, reported using AI in their work in the Avid-ACE survey.[67]
- 59% of film and television leaders reported difficulty finding employees with the right technical skills in 2025, affecting AI-related workforce compliance and capability.[64]
- The British Board of Film Classification was testing generative AI to identify and tag classification issues for compliance officers in 2025.[1]
Risk Management in the media and publishing sector (sector benchmark)
- Across surveyed companies globally, 57% reported a high appetite for accepting the right reputation risks in 2024.[68]
- Across surveyed companies globally, 86% said their organizations take reputation seriously in 2024.[68]
- Across media and entertainment, 39% of leaders said reputational damage is a major consequence of insufficient risk-function integration in 2026.[69]
- Across surveyed companies globally, 65% ranked cyber-attack as their number-one reputation risk in 2024.[68]
- Across surveyed companies globally, only 11% reported strong financial impact modeling for reputation risks in 2024.[68]
Cybersecurity in the media and publishing sector (sector benchmark)
- Across media and entertainment companies, 39% of leaders identified reputational damage as a major consequence of insufficient risk-function integration in 2026.[69]
- Across communications and media organizations, 85% worried that increased generative-AI use would lead to more data leakage in 2024.[70]
- Across communications and media organizations, 82% said maintaining security hygiene and posture was difficult because of attack-surface growth in 2024.[70]
- Across communications and media organizations, 94% expected to increase cybersecurity spending over the next few years in 2024.[70]
Data Privacy in the media and publishing sector (sector benchmark)
- Across the European Union, 39.0% of internet users checked that a website was secure before providing personal data in 2025.[71]
- Across OECD countries, 56% of adults avoided certain websites, apps or social media because of privacy concerns in 2024.[72]
- Across OECD countries, 31% of men and 35% of women did not feel in control of their personal information online in 2024.[72]
- Across the European Union, 37.6% of internet users read privacy-policy statements before sharing personal data in 2025.[71]
- Across the European Union, 58.8% of internet users refused or did not allow their personal data to be used for advertising in 2025.[71]
Crisis Management in the media and publishing sector (sector benchmark)
- Across surveyed companies globally, 77% considered social media important for reputation management in 2024.[68]
- Across surveyed companies globally, 87% had a formal team that trained together and responded to significant adverse publicity events in 2024.[68]
- Across surveyed companies globally, 91% conducted annual exercises to test their crisis communications team and plan in 2024.[68]
- Across surveyed companies globally, 82% had ready-made public-relations templates for most reputation-crisis scenarios in 2024.[68]
- Across surveyed companies globally, 94% had reserved a budget for a damaging reputational event, including communications and marketing contingencies, in 2024.[68]
Governance in the ai film industry
- 35% of documentary filmmakers considered disclosure of potential ethical harms from AI important to audiences in 2025.[30]
- 70% of documentary filmmakers said communicating AI use to funders was important in 2025.[30]
- 45% of documentary filmmakers considered disclosure of potential ethical harms from AI important to funders in 2025.[30]
- 68% of documentary filmmakers said communicating AI use to audiences was important in 2025.[30]
- 36% of documentary filmmakers considered disclosure of AI’s impact on a film’s artistic approach important to audiences in 2025.[30]
15 Statistics
Globalization & Expansion
Regional adoption is uneven, with North America at 39.0% of global AI-in-filmmaking revenue in 2025 and Asia Pacific fastest-growing during 2026–2033.
Globalization in the ai film industry
- 10 U.S. cities hosted IMAX screenings of Runway's 2025 AI Film Festival finalists.[16]
- 6,000 films were submitted to Runway's 2025 AI Film Festival.[16]
- 39.0% was North America's share of global AI-in-filmmaking revenue in 2025.[15]
- 5 original Sora-generated short films premiered through the Tribeca Festival's 2024 program.[73]
- Asia Pacific was the fastest-growing regional AI-in-filmmaking market during 2026–2033.[15]
Cultural adaptation in the ai film industry
Supplier management in the ai film industry
- 3 AI video tools per film was the average used by artists in the 2025 MIT AI Film Hack.[18]
- More than 20,000 film and television titles formed the proprietary content portfolio used for Lionsgate's Runway AI model collaboration.[20]
- 1 custom AI model was created by Runway for Lionsgate's proprietary film and television content.[16]
- 1 preferred API creativity partner was designated by Runway in its 2025 Adobe agreement.[21]
- 2 companies—Adobe and Runway—formed a multi-year partnership for professional AI-video workflows in 2025.[21]
Stakeholder management in the ai film industry
- 85% of Sundance filmmakers chose Adobe, according to Adobe's 2026 announcement.[21]
- 39% of audiovisual-sector organisations reported using at least one AI tool in 2024.[52]
- $10 million in creator grants were announced by Adobe alongside its 2026 Sundance filmmaker initiative.[21]
- 4 days of screenings were scheduled at each IMAX location for Runway's 2025 AI Film Festival presentation.[16]
Distribution channels in the ai film industry
- 2 cities hosted Runway's 2026 AI Festival winning-film screenings, in New York and Los Angeles.[16]
- 1 exclusive subscription service was designated for the debut of Innovative Dreams' first project before wider Prime Video availability.[17]
- 40 IMAX screenings were scheduled for Runway's 2025 AI Film Festival finalists across the United States.[16]
- 200-plus Disney, Marvel, Pixar and Star Wars characters were licensed for generation in OpenAI's Sora platform.[19]
- 3 years was the term of Disney's Sora licensing agreement with OpenAI.[19]
Key questions about the AI Film Industry
What is the market size for AI filmmaking in 2026?
How fast does the AI in filmmaking market grow after 2026?
Which companies lead the ai film industry?
What technology shifts matter most for production in 2026?
How is the market structured between studios and tool providers?
What legal or labor constraints affect synthetic performers in 2026?
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Kevin O'Brien. (2026, February 13). AI Film Industry Statistics. Gitnux. https://gitnux.org/ai-film-industry-statistics
Kevin O'Brien. "AI Film Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-film-industry-statistics.
Kevin O'Brien. 2026. "AI Film Industry Statistics." Gitnux. https://gitnux.org/ai-film-industry-statistics.
Sources & references
85 sources cited across this report
bfi.org.uk
animationguild.org
doi.org
alixpartners.com
storage.ghost.io
ukaop.org
piano.io
newrelic.com
akamai.com
- research-consulting.com
endava.com
business.adobe.com
- tems-dataspace.eu
adobe.com
grandviewresearch.com
runway.com
lumalabs.ai
openaccess.thecvf.com
openai.com
s205.q4cdn.com
news.adobe.com
prnewswire.com
latimes.com
lbbonline.com
- 26254830.fs1.hubspotusercontent-eu1.net
- independentpublishersguild.com
- 4272994.fs1.hubspotusercontent-na1.net
newsroom.cisco.com
reutersinstitute.politics.ox.ac.uk
documentary.org
culturemonkey.io
myemail.constantcontact.com
c3.sspnet.org
accessintel.com
americanpressinstitute.org
thoughtleadership.forrester.com
alvarezandmarsal.com
tvtechnology.com
casestudies.com
salesforce.com
view.ceros.com
- luminatedata.com
influencermarketinghub.com
cdn-group.bnpparibas.com
digiday.com
mckinsey.com
cnc.fr
morganstanley.com
au.variety.com
axios.com
- runway.movie
data.consilium.europa.eu
- hfsresearch.com
- gremieditors.cat
cdn2.hubspot.net
financialexpress.com
deloitte.com
bloomberg.com
ir.kuaishou.com
sacra-pdfs.s3.us-east-2.amazonaws.com
sacra.com
blog.adobe.com
synthesia.io
app.learn-one.autodesk.com
- detroit.paris
carbontrust.com
avid.com
wtwco.com
grantthornton.com
splunk.com
ec.europa.eu
oecd.org
d13jj08vfqimqg.cloudfront.net
sagaftra.org
- tomsguide.com
deepmind.google
about.fb.com
seed.bytedance.com
stability.ai
pika.art
flawlessai.com
ltx.studio
thewaltdisneycompany.com
arxiv.org
digital-strategy.ec.europa.eu

Social media in the ai film industry