Gitnux/Report 2026

AI in Film Industry Statistics

See how AI is quietly rewriting the movie business, from AI-optimized trailers driving 35% of streaming views for Warner Bros and 60% of ticket questions handled by chatbots, to post-production tools that save hours per hour of footage and cut VFX costs by 25% on average. If you are trying to understand where studios win or lose in 2025 and beyond, this page connects the audience lift to the production pipeline.
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November 10, 2026Updated
AI in Film Industry Statistics
Margot VilleneuveWritten by Margot Villeneuve·Edited by Sarah Mitchell·Fact-checked by Nikolas Papadopoulos
Published ·Updated
How this report is researched
01Editorial Scope

Gitnux editors write the brief first: the topic, the inclusion rules, and the frame for what belongs.

02Source Research

Agents search the published record and log every extracted figure back to the passage it came from.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The ai in film industry at a glance

AI is becoming a measurable film-production market: global AI in filmmaking revenue reached $3.8 billion in 2025, while studios increasingly deploy tools for production, visual effects, editing and audience analysis.

$3.8B[55]
Global market size, 2025
26.2%[55]
Forecast CAGR, 2026–2033
39.0%[55]
North America share, 2025
49%[2]
U.S. media firms using GenAI, 2024
Market size
The 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 identifies scriptwriting, visual-effects enhancement and post-production automation as major demand areas.[55]
Forecast & CAGR
The market is forecast to reach $23.5 billion by 2033, representing a 26.2% compound annual growth rate from 2026 to 2033. Growth is linked to cost-efficient workflows, real-time editing and personalized content creation.[55]
Market share & regions
North America held 39.0% of global AI-in-filmmaking revenue in 2025. Asia Pacific is projected to record the fastest CAGR through 2033, supported by investment and adoption in China, India and South Korea.[55]
Segmentation
Production was the largest application segment, with about 38.0% of market revenue in 2025. Feature films accounted for more than 29.0% by production type, while studios and production houses represented about 36.0% by customer category.[55]
Key players & concentration
The market includes technology suppliers such as Adobe and NVIDIA alongside specialized generative-video companies including Runway. Public market-share data for individual vendors is limited, but the largest identified customer category—studios and production houses—accounted for approximately 36.0% of 2025 revenue.[55][56]
Trends, drivers & challenges
Adoption is concentrated in pre-visualization, storyboarding, visual effects, dubbing, editing and other post-production tasks. A BFI report cited 79 global AI-training licensing deals signed between March 2023 and February 2025, while unresolved copyright, consent and labor issues remain major constraints.[2][55]
Consumer behavior & competition
In a 2025 survey of 146 independent documentary filmmakers, 68% said audiences should receive clear information about how AI was used, and 70% said the same for funders. Competition is also shifting toward studio-specific tools: Netflix reported that roughly 300 productions were using AI in 2026, mainly in post-production and complex shots or sequences.[57][58]
M&A
Netflix acquired Ben Affleck’s AI filmmaking company InterPositive in 2026 for a reported amount exceeding $500 million, although Netflix did not confirm the transaction value. Separately, Google DeepMind invested $75 million in A24 in June 2026 to develop AI tools for filmmaking and distribution.[58][59]
Regulation
SAG-AFTRA members ratified a new TV/Theatrical Agreement in June 2026 that added restrictions on synthetic performers and strengthened digital-replica protections. The union also reports that the federal TAKE IT DOWN Act requires covered platforms to remove valid requests involving AI-generated sexual deepfakes within 48 hours.[60]
Latest news
In June 2026, Lionsgate and Runway expanded their strategic collaboration: Lionsgate took an equity interest in Runway and the companies announced a joint program to develop AI-enabled intellectual property, beginning with a short-form episodic series. The partnership builds on their 2024 use of Runway tools for pre-visualization, storyboarding and final-frame production.[56]

02 Ranking

Top 8 Companies in the Ai In Film Industry

The leading companies in the ai in film industry, ranked on market impact, performance, momentum, innovation and brand popularity.

Updated November 10, 2026 · Next review December 10, 2026

Verdict

Alphabet leads Gitnux's 2026 ai in film ranking with an Overall score of 9.4, with Veo 3.1 and Flow offered for AI filmmaking tools. ByteDance is the runner-up at 9.3, thanks to Seedance 2.0 priced at US$0.07 per second for 480p video.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in AI video generation

    Alphabet

    US

    Ranked #1 · 9.4 · AI video generation

    Why we picked it: Its Veo 3.1 and Flow tools align with production and editing adoption across film workflows.

    See in ranking ↓Visit abc.xyz ↗

  2. #2 overall

    ByteDance

    CN

    Ranked #2 · 9.3 · AI video generation

    Why we picked it: Seedance supports creators with multi-shot, audio-visual generation for film and cinematic storytelling.

    See in ranking ↓Visit bytedance.com ↗

  3. #3 overall

    Meta

    US

    Ranked #3 · 9.2 · AI video generation

    Why we picked it: Movie Gen targets immersive storytelling by combining video generation with audio edits.

    See in ranking ↓Visit meta.com ↗

Pick 1 is the #1 company overall. No other segment places in the top 5, so picks 2 and 3 follow rank.

Full ranking

Sort by
Top 8 companies in the ai in film industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

Alphabet

AI video generation · US

9.4
2

ByteDance

AI video generation · CN

9.3
3

Meta

AI video generation · US

9.2
4

Adobe

AI video generation · US

9.1
5

Tencent

AI video generation · CN

8.5
6

Stability AI

Open video generation models · GB

8.5
7

Pika

AI video, image and audio creation · US

8.1
8

Alibaba Group

Wan generative video models and APIs · CN

7.5

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

Margot Villeneuve. (2026, February 13). Top 8 companies in the ai in film industry. In AI In Film Industry Statistics. Gitnux. https://gitnux.org/ai-in-film-industry-statistics/#top-companies

04 Statistics

Technology & Innovation

Adoption spans teams, with 49% of U.S. media and entertainment decision-makers reporting GenAI use in August 2024, and 39,500 California jobs projected affected by 2026.

AI in the ai in film industry

  • 26% of film, television and animation business leaders felt their workforce was fully prepared for integrating generative AI into workflows.[1]
  • 35% of French screen professionals who had used generative AI used it daily or regularly in 2024.[2]
  • 77% of French screen professionals who had used generative AI continued using it at least occasionally in 2024.[2]
  • 40% of UK-based producers surveyed in 2023 planned to use generative AI in their production process.[2]
  • 40% of 794 French screenwriters, producers, directors and cinematographers surveyed in 2024 had used generative AI.[2]
  • 49% of U.S. media and entertainment decision-makers surveyed in August 2024 said their organization was using generative AI.[2]

Automation in the ai in film industry

  • 39,500 California film, television and animation jobs were projected to be affected by generative AI by 2026.[1]
  • 15,100 New York film, television and animation jobs were projected to be affected by generative AI by 2026.[1]
  • 39% of early-adopter film, television and animation firms were using generative AI to assist with character and environment design.[1]
  • 37% of early-adopter film, television and animation firms were using generative AI to assist with voice generation, voice cloning or compositing.[1]
  • 21.4% of U.S. film, television and animation jobs, equivalent to approximately 118,500 jobs, were projected to have enough tasks affected by generative AI to be consolidated, replaced or eliminated by 2026.[1]
  • 44% of early-adopter film, television and animation firms were using generative AI to assist with 3D-model generation.[1]

Digital Transformation in the media and publishing sector (sector benchmark)

  • 94% of media companies reported gains from digital-transformation efforts in 2025, the highest result among industries surveyed 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.[4]
  • 76% of publisher respondents planned to encourage staff to behave more like creators in 2026, reflecting a shift toward creator-oriented digital publishing globally.[4]
  • 62% of media respondents said companies are not investing enough in future business models in 2026, indicating a significant transformation funding gap globally.[4]

Technology Adoption in the media and publishing sector (sector benchmark)

  • 76% of publishers were piloting or experimenting with AI on business-side functions in 2025, while 18% were actively deploying AI across multiple functions.[5]
  • 22% of publishers reported not using AI for content creation and distribution in 2025, based on a survey of U.S. and UK publishers.[6]
  • 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.[7]
  • 30% of publishers reported using AI for content optimization and personalization in 2025, based on a survey of 50 U.S. and UK publishers.[6]

Cloud Computing in the media and publishing sector (sector benchmark)

  • 39% of media respondents identified cloud-sprawl costs, data-egress charges and unpredictable pricing as a major multicloud pain point in 2023.[8]
  • 35.4% of media and entertainment respondents identified migration to a multicloud environment as a technology trend driving observability requirements in 2025.[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.[8]
  • 55% of media respondents identified complexity as their biggest multicloud challenge, including integration, scaling and maintenance issues, in 2023.[8]
  • 43% of media respondents cited insufficient internal skills for edge computing or specific cloud environments as a major multicloud challenge in 2023.[8]

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]
  • 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.[6]
  • 27.8% of media and entertainment respondents identified integrating business applications into workflows as a technology trend driving observability requirements in 2025.[9]
  • 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.[9]

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 quality and integration show up as bottlenecks: 50% of North American decision-makers cited poor data management in 2024, and 64% of French screen professionals used GenAI in 2024.

Business intelligence in the ai in film industry

  • 49% of film and TV organizations used AI to increase productivity in 2025.[12]
  • 80% of North American media and entertainment decision-makers rated personalized customer interactions and recommendations as a high or critical GenAI priority in 2024.[13]
  • 50% of North American media and entertainment decision-makers identified poor data management as a GenAI business challenge in 2024.[13]
  • 33% of film and TV organizations used AI for billing analysis in 2025.[12]
  • 31% of film and TV organizations used AI to identify product or asset performance gaps in 2025.[12]
  • 36% of film and TV organizations used AI for workplace safety and risk analysis in 2025.[12]

Data analytics in the ai in film industry

  • 45% of North American media and entertainment organizations lacked up-to-date security and privacy practices for GenAI in 2024.[13]
  • 40% of French screenwriters, producers, directors and cinematographers surveyed had used generative AI in 2024.[2]
  • 65% of North American media and entertainment organizations experienced poor GenAI performance or output quality in 2024.[13]
  • 55% of North American media and entertainment decision-makers expected GenAI to improve personalized recommendations and advice over the next two to three years.[13]
  • 52% of North American media and entertainment decision-makers expected GenAI to streamline content production and support functions over the next two to three years.[13]
  • 50% of North American media and entertainment organizations lacked the people resources needed to harness GenAI in 2024.[13]

Data Quality in the media and publishing sector (sector benchmark)

  • 63% of publishers surveyed in 2023 reported low data quality as a challenge when collecting customer data.[5]
  • 64% of publishers surveyed globally in March 2026 identified difficulty integrating data sources into AI tools as their greatest data challenge.[5]
  • 75% of publishers surveyed globally in March 2026 said incomplete, inconsistent or outdated data affected the quality or usefulness of their AI tools.[5]
  • 52% of publishers surveyed in 2023 reported low data quality as a challenge when segmenting customer data.[5]

Data Governance in the media and publishing sector (sector benchmark)

  • 28% of European media organisations surveyed in 2025 reported having a partially implemented data strategy.[14]
  • 46% of European media organisations surveyed in 2025 had a dedicated data team, while 34% had no dedicated data team.[14]
  • 28% of European media organisations surveyed in 2025 reported having a fully implemented data strategy.[14]
  • 37% of European media organisations surveyed in 2025 reported having no data strategy.[14]
  • 92% of European media stakeholders surveyed in 2025 required robust data and privacy protection before joining a shared media data space.[14]
  • 72% of European media organisations surveyed in 2025 considered data very important to their daily operations.[14]

KPIs in the ai in film industry

  • 31% more AI-leading media and entertainment companies said they had kept up very well with industry change in 2025.[12]
  • 31% more AI-leading media and entertainment companies agreed they were prepared for the future in 2025.[12]
  • 33% more AI-leading media and entertainment companies reported above-average or exceptional performance than their peers in 2025.[12]
  • 36% more AI-leading media and entertainment companies reported increased or strongly increased investment over the prior three years in 2025.[12]
  • 56% of media and entertainment leaders said lack of skilled workers was hindering organizational growth in 2025.[12]
  • 68% of media and entertainment leaders said their organizations increased spending on AI and emerging technology during the three years to 2025.[12]

06 Statistics

Strategy & Growth

Studios and platform buyers keep funding AI commercialization: Netflix acquired InterPositive for over $500 million in 2026, and Google DeepMind invested $75 million in A24 in June 2026.

Growth in the ai in film industry

  • $4.14 million was AI Era Corp.’s total revenue for the three months ended February 28, 2026.[15]
  • $30 million was the equity purchase agreement AI Era Corp. entered into to support content-library expansion and AI commercialization in 2026.[15]
  • $806,000 in net proceeds came from AI Era Corp.’s convertible promissory notes issued through February 28, 2026.[15]
  • $280,127 of AI Era Corp.’s six-month revenue through February 28, 2026 came from licensing its uFilm platform.[15]
  • $1.68 million was AI Era Corp.’s total revenue for the six months ended February 28, 2025.[15]
  • $1.06 million was AI Era Corp.’s total revenue for the three months ended February 28, 2025.[15]

Strategic partnerships in the ai in film industry

  • 5 of the 6 listed film and television studio AI partnerships focused on using AI technology in production rather than licensing intellectual property.[16]
  • 1 custom AI video model was to be fine-tuned on part of Lionsgate’s film and television catalogue under its September 2024 Runway partnership.[16]
  • 1 of the 6 listed film and television studio AI partnerships was identified as an intellectual-property replication licensing deal.[16]
  • 200+ Disney, Marvel, Pixar and Star Wars characters were covered by the announced Disney–OpenAI agreement in December 2025.[16]
  • 1 pilot program was launched by Meta and Blumhouse in October 2024 to gather creative-industry feedback on Meta Movie Gen.[16]
  • 6 film and television studio AI partnerships were listed by Luminate Intelligence through March 2026.[16]

07 Statistics

People & Workforce

Workforce readiness stays uneven: 26% of film, television and animation leaders felt fully prepared for generative-AI integration into workflows.

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.[17]
  • Across independent UK publishers, 84% of staff worked partly or fully from home in 2025.[18]
  • Across entertainment and media job postings, 369,000 new remote-job listings were recorded globally in 2024.[17]
  • Across independent UK publishers, 42% of staff worked fully from home in 2025.[18]

Hybrid Work in the media and publishing sector (sector benchmark)

  • Across independent UK publishers, 58% of organizations required full-time staff to work a minimum number of days in the office in 2025.[18]
  • 38% of full-time Australian journalists worked in a hybrid combination of home and office, studio or newsroom in 2022, up from 8% before the pandemic.[19]
  • Across independent UK publishers, 42% of staff had hybrid working arrangements in 2025.[18]
  • 42% of journalists surveyed globally worked in hybrid arrangements in 2024, compared with 24% working in-office and 34% fully remote.[20]
  • 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.[21]

Upskilling in the ai in film industry

  • Film and television was one of the screen industries identified as facing a talent shortage in Autodesk’s 2025 industry survey, with 59% of leaders reporting difficulty finding skilled talent.[22]
  • 59% of film and television leaders said finding skilled talent was difficult in Autodesk’s 2025 industry survey.[22]
  • 26% of film, television and animation business leaders felt their workforce was fully prepared for generative-AI integration into workflows.[1]

Employee Engagement in the media and publishing sector (sector benchmark)

  • Creative and media employees recorded an average eNPS of +22 in CultureMonkey’s Q3 2026 benchmark.[23]
  • Creative and media employees rated autonomy 8.62 out of 10 in CultureMonkey’s Q3 2026 benchmark.[23]
  • Creative and media employees scored 7.67 out of 10 for engagement in CultureMonkey’s Q3 2026 benchmark.[23]
  • Creative and media employees rated meaningful work 8.76 out of 10 in CultureMonkey’s Q3 2026 benchmark.[23]
  • Across communications and public-relations professionals, 89% reported being engaged at work in a 2024 survey.[24]

DEI in the ai in film industry

  • 12.9% of writers of the 100 top-grossing U.S. films in 2024 were women.[25]
  • 27% of producers of the 100 top-grossing U.S. films in 2024 were women.[25]
  • 33.6% of speaking characters in the 100 top-grossing U.S. films of 2024 were girls or women.[25]
  • 55% of the 100 top-grossing U.S. films in 2024 featured a female protagonist or co-protagonist.[25]
  • 18% of the 100 top-grossing U.S. films in 2024 featured gender-balanced casts.[25]

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.[26]
  • 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.[26]
  • 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.[27]
  • 92% of media and publishing leaders agreed or strongly agreed that their companies had a clear vision of the kind of company they needed to become in 2022.[27]
  • 74% of media and publishing leaders agreed or strongly agreed that their company culture encouraged change and innovation in 2022.[27]

08 Statistics

Customer & Sales

Demand signals point to AI disclosure and active participation: in 2025, nearly 40% of U.S. entertainment fans would accept AI-created content if clearly labeled.

Customer experience in the ai in film industry

  • 88% of surveyed consumers were interested in adaptive, AI-enabled entertainment in 2026.[28]
  • 64% of surveyed consumers believed human–AI collaboration would produce premium entertainment content in 2026.[28]
  • 69% of surveyed consumers wanted an active role in AI-enabled storytelling, including as a protagonist or created character, in 2026.[28]
  • 81% of viewers expected streaming services to provide highly personalized experiences in 2023, according to a global streaming survey.[29]
  • 75% of streaming viewers were interested in recommendations based on selected attributes such as release year, mood or production country in 2025.[30]

Customer retention in the ai in film industry

  • 79% of viewers kept a streaming subscription after discovering new content in a 2023 Google Cloud survey.[29]
  • 64% of viewers were more likely to keep watching a streaming service when its advertisements felt relevant in 2023.[29]
  • 17% was the preference lead for personalized recommendations based on purchase history among media and entertainment consumers in 2026.[31]
  • 91.5% of media and entertainment consumers said special discount offers influenced purchase decisions in research published in 2026.[31]
  • 68% of streaming subscribers paid for ad-supported streaming services in 2025, supporting lower-cost retention options in entertainment.[32]

Customer acquisition in the ai in film industry

  • 29% more time was expected to be spent on AI-driven platforms and content, while 11% less was expected on traditional broadcast and cable, in 2026.[28]
  • 49% of global audiences preferred TV and movie streaming recommendations from platforms in 2024.[33]
  • 41% of viewers did not have a specific program in mind when turning on their television in a 2023 streaming survey.[29]
  • 85% of streaming subscription upgrades were influenced by viewers’ ability to find content in a 2023 Google Cloud survey.[29]
  • 51% of surveyed consumers were open to paying the same or more for AI-generated films at the box office in 2026.[28]

Customer loyalty in the ai in film industry

  • Nearly 40% of U.S. entertainment fans would accept AI-created content if it were clearly labeled in 2025.[32]
  • 80% of U.S. consumers identified as entertainment fans in Deloitte research fielded in October–November 2025.[32]
  • 27% more was spent monthly on streaming by U.S. entertainment fans than by non-fans in 2025.[32]
  • $71 per month was the average streaming spend of U.S. entertainment fans in 2025, compared with $56 for non-fans.[32]

09 Statistics

Marketing & Brand

Brand workflows already use generative video at campaign scale: Paramount+ generated 70 customized images in two hours for its AI-powered social campaign in 2024.

Marketing in the ai in film industry

  • 50% of advertisers were already using generative AI to build video advertisements in the IAB’s 2025 research.[34]
  • 70 customized images were created in two hours for Paramount+’s AI-powered social campaign promoting the film IF in 2024.[35]
  • 42% of video advertisers used generative AI to create versions for different audiences in the IAB’s 2025 digital video advertising research.[34]
  • 100% of the customized fan images in Paramount+’s IF campaign were generated from audience-submitted descriptions using Adobe Firefly in 2024.[35]
  • Nearly 90% of advertisers were expected to use generative AI to build video advertisements in 2025, according to IAB research.[34]

Digital marketing in the ai in film industry

  • 64% of streaming viewers were more likely to continue watching when advertisements felt relevant in 2023.[29]
  • 75% of streaming viewers wanted recommendation systems that could use choices such as mood, release year and production country in 2025.[30]
  • 1 personalized digital drawing was generated for each accepted audience description during Paramount+’s IF campaign in 2024.[35]
  • 49% of global audiences preferred platform recommendations for TV and movie streaming discovery in 2024.[33]
  • 51% of global audiences preferred recommendations from people for TV and movie streaming discovery in 2024.[33]

Branding in the ai in film industry

  • 25% of U.S. film and TV viewers were comfortable with AI-generated digital replicas of living actors in November–December 2025.[16]
  • 64% of consumers believed human–AI collaboration could produce premium entertainment content in 2026.[28]
  • More than 50% of consumers were neutral or more excited about a fully AI-created film in 2026.[28]
  • 36% of U.S. film and TV viewers were comfortable with AI-generated voiceover narration in November–December 2025.[16]
  • 29% of U.S. film and TV viewers were comfortable with AI-generated theme music or original scores in November–December 2025.[16]

Social media in the ai in film industry

  • 51% of global audiences preferred recommendations from people, including social connections, when discovering TV and movie streaming content in 2024.[33]
  • 69% of consumers wanted an active role in AI-enabled storytelling, including creating a character, in 2026.[28]
  • 30% of entertainment fans wanted AI-generated personalized digests and highlight reels in Deloitte’s 2025 U.S. research.[32]
  • 1 customized image was returned within minutes for each fan description processed in Paramount+’s IF social campaign in 2024.[35]
  • 70 customized images were produced in two hours for Paramount+’s #BringYourIFtoLife social campaign promoting IF in 2024.[35]

Influencer Marketing in the media and publishing sector (sector benchmark)

  • 17% of media-agency respondents in a 2026 survey said they partnered with influencers to create content for retail media globally.[36]
  • 56% of brands said generating user-generated content was the main purpose of their influencer campaigns in 2024, versus 23% citing sales generation.[37]
  • 69% of brands using influencer marketing reported using TikTok in 2024, compared with 47% using Instagram, 33% YouTube and 28% Facebook.[37]
  • $32.6 billion was the estimated global influencer-marketing market in 2025, up from $24.0 billion in 2024.[38]
  • 96% of media-agency respondents in a 2026 survey said social media was used for creator-brand partnerships, making it the most-used channel globally.[36]

10 Statistics

Operations & Execution

Production timing and output scale are measurable, including 8 times faster video-series production after an integrated Google Cloud AI production pipeline.

Process optimization in the ai in film industry

  • 5–10% productivity improvements were reported in selected film and television pre-production use cases in 2025, according to McKinsey interviews and analysis.[39]
  • 45 days was the average production timeframe reported for submitted AI-generated films at the artificial-intelligence film festivals studied.[40]
  • 10 times more minutes of video were generated per month by each HOLYWATER TECH creative unit using its AI-native production workflow.[29]
  • 8 times faster video-series production was achieved by Kyiv-based HOLYWATER TECH after implementing an integrated Google Cloud AI production pipeline.[29]

Quality management in the ai in film industry

  • 91% audience completion was recorded for a two-hour film produced with Veo by HOLYWATER TECH’s AI-enabled streaming operation.[29]
  • 77% of French screen-industry respondents who had used generative AI continued using it at least occasionally in 2024.[2]
  • 35% of French screen-industry generative-AI users surveyed in 2024 used the technology daily or regularly.[2]

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.[41]
  • 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.[41]
  • 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.[42]
  • 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.[41]
  • 65% of surveyed academic publishers were concerned about offshoring work, according to Deanta’s global academic-publishing survey; the survey year is not stated on the source page.[42]

11 Statistics

Finance & Pricing

Unit pricing and economics are tracked: OpenAI Sora 2 Standard cited at US$0.10 per second in 2026, alongside case-level ROI measures.

Pricing strategy in the ai in film industry

  • About US$0.10 per second was the cited price for OpenAI Sora 2 Standard video generation in 2026.[43]
  • Low-double-digit US dollars per month was the stated subscription price at which creators could begin experimenting with AI video tools in July 2026.[39]
  • US$0.07 per second was the cited low-tier price for 480p video generation from ByteDance Seedance 2.0 in 2026.[43]
  • US$0.78 per second was the cited high-tier price for 4K video generation with audio from ByteDance Seedance 2.0 in 2026.[43]

Cost reduction in the ai in film industry

  • US$15,000–US$35,000 was the reported production-cost range for AI short films submitted to the festivals studied.[40]
  • Around 40% budget reduction was calculated for a proposed film project through the use of AI, according to its fundraising estimates.[44]
  • Up to 30% cost reduction was projected for television and film from generative AI, compared with about 10% across the broader media industry.[45]

Profitability in the ai in film industry

  • 298% ROI was reported for Big Hero 6, with production costs of US$165 million and box-office revenue of US$657.8 million.[40]
  • US$168.7 million profit was reported for M3GAN, based on US$12 million production costs and US$180.7 million box-office revenue.[40]
  • 1,405.8% ROI was reported for M3GAN, whose production cost was US$12 million and box-office revenue was US$180.7 million.[40]
  • 10 times annual recurring-revenue growth was reported for HOLYWATER TECH’s My Muse after implementation of its Google Cloud AI production pipeline.[29]

Financial planning in the ai in film industry

  • US$165 million was the reported production cost of Big Hero 6 in the financial analysis of AI-themed films.[40]
  • US$100 million was the reported production cost of Transcendence, which generated approximately US$3 million profit in the cited analysis.[40]
  • US$12 million was the reported production cost of M3GAN in the financial analysis of 32 AI-themed films.[40]
  • US$50.28 million was the mean production cost across the 32 AI-themed films analyzed.[40]

12 Statistics

Product & Service

Integration and adoption targets concentrate across content creation, with 77% of film and TV organizations reporting using AI in content creation in 2025.

Product development in the ai in film industry

  • 31% of creative firms expected to use GenAI for writing film or television scripts over the following three years.[12]
  • 31% of film and TV organizations reported that AI would be adopted across all areas in 2025.[12]
  • 77% of film and TV organizations reported using AI in content creation in 2025.[12]
  • 47% of creative firms expected to use GenAI for developing 3D assets for film, television, games, cinematography and virtual worlds over the following three years.[12]
  • 36% of film and TV organizations used AI to supplement skills gaps in 2025.[12]

Product lifecycle in the ai in film industry

  • 83% of film and TV organizations reported mature use of cloud services or platforms in 2025.[12]
  • 82% of film and TV organizations reported mature use of technology for seamless pipeline integration in 2025.[12]
  • 37% of film and TV organizations were approaching their AI incorporation goal in 2025.[12]
  • 6% of film and TV organizations had not started incorporating AI, while 20% had achieved their AI incorporation goal in 2025.[12]
  • 80% of film and TV organizations reported mature digitalization of asset tracking and management in 2025.[12]

Value proposition in the ai in film industry

  • 61% of media and entertainment leaders said AI would be essential across the board within a few years.[12]
  • 69% of media and entertainment leaders trusted AI technologies for their industry in 2025.[12]
  • 70% of media and entertainment leaders said AI would alleviate thankless and repetitive employee tasks in 2025.[12]
  • 71% of media and entertainment leaders were confident their company would make the right AI decisions in 2025.[12]
  • 71% of media and entertainment leaders said AI would enhance their industry in 2025.[12]

13 Statistics

Sustainability & Ethics

Public acceptability varies by use case: 59% of U.S. adults considered an entirely AI-generated movie unacceptable in 2025.

Sustainability in the ai in film industry

  • 64% of surveyed UK 16–24-year-olds agreed that artists and creative teams should play a leading role in deciding how AI is used in film and television production in 2026.[46]
  • 62% of surveyed UK 16–24-year-olds agreed that using AI could make different film and television productions look or feel too similar in 2026.[46]

Ethics in the ai in film industry

  • 59% of U.S. adults considered creating an entirely AI-generated movie without human actors or writers unacceptable in 2025.[47]
  • 71% of U.S. adults considered replacing all actors with AI-generated characters unacceptable in 2025.[47]
  • 38% of U.S. adults considered using AI with a human-written script to generate all movie visuals and sound unacceptable in 2025.[47]
  • 32% of U.S. adults considered AI-generated voiceover narration unacceptable in 2025.[47]
  • 41% of U.S. adults considered using AI to compose a film musical score unacceptable in 2025.[47]

15 Statistics

Globalization & Expansion

Dubbing scale extends global operations, with 1,162 active language pairs used for video dubbing between January 2025 and August 2026.

Globalization in the ai in film industry

  • 68 countries had active Perso Dubbing subscriptions on September 7, 2026.[53]
  • 119 billing countries had paid customers on Perso Dubbing over the life of its subscription records through September 2026.[53]
  • 1,162 active language pairs were used for video dubbing on Perso Dubbing between January 2025 and August 2026.[53]
  • 63.1% of Enterprise-plan Perso Dubbing creators used at least two target languages from December 2025 to August 2026.[53]
  • 31.9% of paying Perso Dubbing creators dubbed content into at least two target languages from December 2025 to August 2026.[53]

Cultural adaptation in the ai in film industry

  • 35% of French screen-industry generative-AI users reported daily or regular use in 2024.[2]
  • 39.0% of language-service providers in the 2026 Nimdzi 100 reported offering AI dubbing.[54]
  • 40.7% of language-service providers in the 2026 Nimdzi 100 reported offering cultural-adaptation services alongside AI-enabled workflows.[54]
  • 40% of French screenwriters, producers, directors and cinematographers surveyed in 2024 had used generative AI.[2]
  • 17% of 70 UK producers surveyed had used generative AI in production by 2023.[2]

Distribution channels in the ai in film industry

  • 10.1% of paid dubbed minutes on Perso Dubbing used Portuguese as the destination language from December 2025 to August 2026.[53]
  • 11.8% of paid dubbed minutes on Perso Dubbing used Spanish as the destination language from December 2025 to August 2026.[53]
  • 20.3% of paid Perso Dubbing projects used lip-sync from December 2025 to August 2026.[53]
  • 6.8% of paid dubbed minutes on Perso Dubbing used French as the destination language from December 2025 to August 2026.[53]
  • 59.8% of paid dubbed minutes on Perso Dubbing were concentrated in English, Spanish, Portuguese and French from December 2025 to August 2026.[53]

Key questions about the AI in Film Industry

What is the global market size for AI in filmmaking in 2025 and 2026?
The global AI in filmmaking market reached $3.8 billion in 2025 and is estimated at $4.6 billion in 2026.
How fast does the AI in filmmaking market grow from 2026 to 2033?
The market is forecast to reach $23.5 billion by 2033, with a 26.2% compound annual growth rate from 2026 to 2033.
Which companies lead the ai in film industry?
Alphabet leads Gitnux's 2026 ai in film ranking with an Overall score of 9.4, with Veo 3.1 and Flow offered for AI filmmaking tools. ByteDance is the runner-up at 9.3, thanks to Seedance 2.0 priced at US$0.07 per second for 480p video.
Where do deployments show up first in production workflows?
Adoption concentrates in pre-visualization, storyboarding, visual effects, dubbing, editing and other post-production tasks.
How is the market structured by application and customer category?
Production is the largest application segment at about 38.0% of 2025 revenue, while studios and production houses represent about 36.0% of 2025 revenue.
What constraints affect adoption and operations?
Unresolved copyright, consent and labor issues remain major constraints, and SAG-AFTRA added restrictions on synthetic performers plus digital-replica protections in June 2026.
Reference

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.

APA
Margot Villeneuve. (2026, February 13). AI In Film Industry Statistics. Gitnux. https://gitnux.org/ai-in-film-industry-statistics
MLA
Margot Villeneuve. "AI In Film Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-film-industry-statistics.
Chicago
Margot Villeneuve. 2026. "AI In Film Industry Statistics." Gitnux. https://gitnux.org/ai-in-film-industry-statistics.

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