Gitnux/Report 2026

AI Video Industry Statistics

Generative AI is set to surge from USD 31.0 billion in 2023 to USD 397.2 billion by 2030 while AI video tools, analytics, and surveillance markets scale fast enough to reshape how content is made and verified. But governance gaps and fraud risk are already biting, with Gartner warning 80% of enterprise AI app efforts will fail in 2024 due to weak data and AI governance, so this page connects market momentum with the real guardrails you will need by 2025 and beyond.
263Statistics
92Sources
12Sections
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November 10, 2026Updated
AI Video Industry Statistics
Marie LarsenWritten by Marie Larsen·Edited by James Okoro·Fact-checked by Claire Beaumont
Published ·Updated
How this report is researched
01Editorial Scope

Before any source is gathered, an editor locks the question, what qualifies, and how the piece will be judged.

02Source Research

Search agents collect the source set and pull each data point out with its provenance attached.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The ai video industry at a glance

The global AI video market reached $4.6 billion in 2025 and is entering a rapid-growth phase as advertising, marketing and enterprise video workflows adopt generative tools.

$4.6B[76]
AI video market, 2025
33.7%[76]
Forecast CAGR, 2026–2033
86%[4]
Buyers using or planning GenAI, 2025
65%
OpenAI video-model usage, 2025
Market size
The global AI video market was valued at $4.6 billion in 2025. Grand View Research estimates that it will reach $5.5 billion in 2026.[76]
Forecast & CAGR
The market is projected to reach $42.3 billion by 2033, implying a 33.7% compound annual growth rate from 2026 to 2033.[76]
Segmentation
AI video products span video generation, editing and enhancement, analytics, and avatar or presenter video. Common applications include marketing, education, security analytics, entertainment, customer service and healthcare; offerings are also segmented by software, services and hardware, and by cloud, on-premises and hybrid deployment.[77]
Key players & concentration
Model usage is concentrated among a small group of leading providers: Artificial Analysis reported OpenAI at 65% and Google at 60% among surveyed video-generation users in 2025, followed by Kuaishou at 28% and Pika at 20%. These are survey usage shares and can sum to more than 100% because respondents could use multiple models.
Trends, drivers & challenges
Lower production costs, faster iteration and the ability to create many audience-specific variants are driving adoption. IAB reported that buyers expected generative AI to produce or enhance 30% of digital-video ad creative in 2025 and 39% in 2026, while measurement, integration and trust remain important constraints.[4]
Consumer behavior & competition
Marketing and social media are among the leading use cases for video-generation models, while prompt adherence and realism are major selection criteria. Competition is led by OpenAI and Google, with Kuaishou, Pika, Alibaba, MiniMax, Tencent and Luma also appearing in the 2025 user survey.
M&A
M&A activity is extending beyond generation models into video infrastructure and digital humans. In October 2025, InterDigital acquired AI video-codec startup Deep Render, while DNEG’s Brahma announced the acquisition of AI-content company Metaphysic.[78][79]
Regulation
The EU AI Act’s transparency obligations began applying on August 2, 2026. Providers of systems generating synthetic video must use machine-readable marking, and deployers must disclose deepfakes and other artificially generated or manipulated content.[80]
Latest news
In 2026, IAB reported that nearly two-thirds of digital-video buyers were using generative AI for creative, up from half in 2025, with one-third of ad assets leveraging GenAI during 2026 and 43% projected for 2027. The report also identified ROI measurement as a major unresolved gap.[4]

02 Ranking

Top 10 Companies in the Ai Video Industry

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

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

Verdict

Google leads Gitnux's 2026 ai video ranking with an Overall score of 9.6, with Veo available through Flow, Gemini API, Vertex AI and Google Vids. HeyGen is the highest-ranked AI video communications provider at 9.3, with 40 million users and Fortune 100 adoption by 2026.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in AI video APIs

    Google

    US

    Ranked #1 · 9.6 · AI video APIs

    Why we picked it: It distributes generative video access across Flow, Gemini API, Vertex AI, and Google Vids.

    See in ranking ↓Visit google.com ↗

  2. Leader in video avatars & dubbing

    HeyGen

    US

    Ranked #2 · 9.3 · Video avatars & dubbing

    Why we picked it: It targets enterprise and social workflows with AI avatars, translation, and multilingual video creation.

    See in ranking ↓Visit heygen.com ↗

  3. Leader in text-to-video models

    OpenAI

    US

    Ranked #3 · 9.3 · Text-to-video models

    Why we picked it: Its video-model footprint changed abruptly when Sora was discontinued in 2026.

    See in ranking ↓Visit openai.com ↗

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

Sort by
Top 10 companies in the ai video industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

Google

AI video APIs · US

9.6
2

HeyGen

Video avatars & dubbing · US

9.3
3

OpenAI

Text-to-video models · US

9.3
4

ByteDance

Text-to-video models · CN

9.2
5

Synthesia

Video avatars & dubbing · GB

9.1
6

Meta Platforms

Consumer AI video generation and social distribution · US

8.9
7

MiniMax

Hailuo AI video generation and video agents · CN

8.8
8

Adobe

Firefly generative video and creative software · US

8.7
9

Alibaba Group

Wan video models and Model Studio platform · CN

8.0
10

Lightricks

LTX generative video models and creative apps · IL

7.6

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

Marie Larsen. (2026, February 13). Top 10 companies in the ai video industry. In AI Video Industry Statistics. Gitnux. https://gitnux.org/ai-video-industry-statistics/#top-companies

04 Statistics

Technology & Innovation

Adoption expanded alongside cost reductions and production workflow changes; average AI content saving was 68% in 2025 VeyoLabs work.

AI in the ai video industry

  • 68% was the average production-cost saving for AI content compared with traditional production in the 2025 VeyoLabs study.[1]
  • 60% of surveyed AI-video-tool adopters said their output still looked obviously AI-generated in 2026.[2]
  • 41% of surveyed brands used AI for video creation in 2025, up from 18% in 2024, globally.[3]
  • 61% of surveyed brands that ran AI-produced campaigns in 2025 planned to expand AI content production in 2026.[1]
  • 30% of digital-video ad creative was built from scratch or enhanced with GenAI in 2025, according to surveyed buyers.[4]
  • Synthesia’s headcount reached 706 employees in 2026, up 44% year over year.[5]

Automation in the ai video industry

  • 33% used or planned GenAI for geolocation in digital-video ad versioning in 2025.[4]
  • 41% of surveyed brands used AI for video creation in 2025, indicating automation had moved into production workflows.[3]
  • 38% used or planned GenAI for visual and style changes in digital-video ad versioning in 2025.[4]
  • 42% of surveyed digital-video buyers using or planning GenAI versioning used it to create versions for different audiences in 2025.[4]
  • 34% used or planned GenAI for platform optimization in digital-video ad versioning in 2025.[4]
  • 35% used or planned GenAI for promotions and incentive testing in digital-video ad versioning in 2025.[4]

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

  • 44% of surveyed news publishers said their newsroom AI initiatives were showing promising results in 2026, while 42% described results as limited globally.[6]
  • 76% of publisher respondents planned to encourage staff to behave more like creators in 2026, reflecting a shift toward creator-oriented digital publishing globally.[6]
  • 94% of media companies reported gains from digital-transformation efforts in 2025, the highest result among industries surveyed globally.[7]
  • 62% of media respondents said companies are not investing enough in future business models in 2026, indicating a significant transformation funding gap globally.[6]

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.[8]
  • 30% of publishers reported using AI for content optimization and personalization in 2025, based on a survey of 50 U.S. and UK publishers.[9]
  • 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.[10]
  • 22% of publishers reported not using AI for content creation and distribution in 2025, based on a survey of U.S. and UK publishers.[9]

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

  • 43% of media respondents cited insufficient internal skills for edge computing or specific cloud environments as a major multicloud challenge in 2023.[11]
  • 55% of media respondents identified complexity as their biggest multicloud challenge, including integration, scaling and maintenance issues, in 2023.[11]
  • 39% of media respondents identified cloud-sprawl costs, data-egress charges and unpredictable pricing as a major multicloud pain point in 2023.[11]
  • 35.4% of media and entertainment respondents identified migration to a multicloud environment as a technology trend driving observability requirements in 2025.[12]
  • 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.[11]

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

  • 27.8% of media and entertainment respondents identified integrating business applications into workflows as a technology trend driving observability requirements in 2025.[12]
  • 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.[12]
  • 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.[9]
  • 39% of publishing-sector stakeholders identified data and analytics capabilities as an investment priority for the year ahead in 2025.[13]

IoT in the media and publishing sector (sector benchmark)

  • 32.9% of media and entertainment respondents identified IoT adoption as a technology trend driving observability requirements in 2025.[12]

05 Statistics

Data & Analytics

Measurement needs drove demand for planning and analytics tools, with 61% and 63% of digital-video advertisers expecting analytics use in 2026.

Business intelligence in the ai video industry

  • 61% of digital-video advertisers expected to use business-intelligence and analytics tools for analytics in 2026.[14]
  • 13% of surveyed media organizations were developing interactive products in the smallest reported adoption group.[15]
  • 19% of surveyed media organizations were developing interactive products in the next reported adoption group.[15]
  • Predictive analytics was identified as helping major studios forecast audience responses and reduce development-spending risk in 2025.[15]
  • 63% of digital-video advertisers expected to use business-intelligence and analytics tools for planning in 2026.[14]
  • 23% of surveyed media organizations were developing interactive products in another reported adoption group.[15]

Data analytics in the ai video industry

  • 53 inbound leads came from one AI-video post that generated more than 400,000 Instagram views in a HeyGen case study.[16]
  • 3.8 times higher engagement was recorded for an AI-avatar video than prior uploads in a HeyGen customer case study.[16]
  • 41% of brands used AI for video creation in 2025, up from 18% in 2024, according to Wistia’s survey of 1,300 professionals.[17]
  • 63% of video marketers used AI to create or edit video content in 2026, according to Wyzowl’s survey of 266 marketers.[18]
  • 13,700 views were generated by one educational AI-avatar video in a HeyGen customer case study in 2025.[16]
  • More than 2 million views were generated by a real-estate team’s AI-video content during one 90-day period in a HeyGen case study.[16]

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.[8]
  • 52% of publishers surveyed in 2023 reported low data quality as a challenge when segmenting customer data.[8]
  • 75% of publishers surveyed globally in March 2026 said incomplete, inconsistent or outdated data affected the quality or usefulness of their AI tools.[8]
  • 64% of publishers surveyed globally in March 2026 identified difficulty integrating data sources into AI tools as their greatest data challenge.[8]

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

  • 46% of European media organisations surveyed in 2025 had a dedicated data team, while 34% had no dedicated data team.[19]
  • 92% of European media stakeholders surveyed in 2025 required robust data and privacy protection before joining a shared media data space.[19]
  • 28% of European media organisations surveyed in 2025 reported having a partially implemented data strategy.[19]
  • 37% of European media organisations surveyed in 2025 reported having no data strategy.[19]
  • 72% of European media organisations surveyed in 2025 considered data very important to their daily operations.[19]
  • 28% of European media organisations surveyed in 2025 reported having a fully implemented data strategy.[19]

KPIs in the ai video industry

  • 400,000 Instagram views were generated by one AI-video post in a HeyGen real-estate customer case study.[16]
  • More than $120,000 in gross commission income was generated by an AI-video-driven real-estate business in a HeyGen case study.[16]
  • 6 videos were produced in three days by First Movers after adopting HeyGen’s AI-avatar workflow.[16]
  • 8 minutes was the average view duration for an AI-avatar video in HeyGen’s First Movers customer case study.[16]
  • 53 inbound leads were generated by one educational AI-video post in a HeyGen real-estate customer case study.[16]
  • 7.8% was the click-through rate for an AI-avatar video in HeyGen’s First Movers customer case study.[16]

06 Statistics

Strategy & Growth

Model iteration and enterprise rollout figures highlighted rapid product change; Runway reported around 70 mid-market customers by early 2026.

Growth in the ai video industry

  • Kling AI completed more than 30 model iterations between its launch and November 2025.[20]
  • Kling AI achieved RMB340 million in revenue during the fourth quarter of 2025.[20]
  • Kling AI’s motion-control feature expanded adoption beyond professional creators to mainstream users in December 2025.[20]
  • Kling AI reached a USD 240 million annualized revenue run rate in December 2025.[20]
  • Synthesia surpassed USD 100 million in annual recurring revenue in April 2025.[21]
  • Kling AI reached USD 100 million in annualized revenue in March 2025.[20]

Differentiation in the ai video industry

  • Kling 2.5 Turbo was positioned as a lower-priced advanced video model in 2025.[20]
  • Kling Video O1 was introduced as a unified multimodal video model in December 2025.[20]
  • 240 or more AI avatars differentiated Synthesia’s enterprise video platform in 2026.[21]
  • Kling’s initial beta generated videos of up to approximately three minutes in 2024.[20]
  • Kling Video 2.6 added simultaneous audio-visual generation in December 2025.[20]
  • Kling Digital Human 2.0 was launched during Kling’s December 2025 Omni Launch Week.[20]

Mergers and acquisitions in the ai video industry

  • Magnifi automatically detected sports moments and created short-form highlight videos after the 2025 VideoVerse acquisition.[22]
  • Typeface completed its third and fourth acquisitions with Treat and Narrato in 2024, following its AI photo-and-video acquisition of TensorTour.[23]
  • VideoVerse was acquired by Minute Media in 2025, adding the AI-driven Magnifi video-clipping product.[22]
  • 45% of U.S. M&A transactions involving AI companies were acquisitions by non-AI companies in 2023.[24]
  • USD 223 million was the reported value of Bending Spoons’ acquisition of Brightcove in 2025.[25]
  • USD 250 million was Nvidia’s reported purchase price for OctoAI in September 2024.[26]

Strategic partnerships in the ai video industry

  • 27% of Vimeo enterprise accounts had tried the ElevenLabs-powered AI-dubbing partnership by 2026.[27]
  • Vimeo integrated ElevenLabs’ dubbing technology through ElevenAPI in 2026.[27]
  • Kling’s NEXTGEN Global New Visual Creation Competition attracted more than 4,600 entries from 122 countries in 2025.[20]
  • More than 30,000 enterprise users had partnerships with Kling AI by December 2025.[20]
  • Evonik used Synthesia to create localized training content for COATINO users in 2025.[21]
  • Electrolux used Synthesia to deploy 40 AI-video training modules across its global partner and employee network.[21]

07 Statistics

People & Workforce

Workforce reporting shows scaling headcount and remote-heavy operations; Synthesia headcount reached 706 employees in 2026.

Hiring in the ai video industry

  • HeyGen employed 332 people in 2026, with headcount up 58% year over year.[5]
  • Synthesia employed 706 people in 2026, with headcount up 44% year over year.[5]

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

  • Across independent UK publishers, 84% of staff worked partly or fully from home in 2025.[28]
  • Across entertainment and media job postings, 369,000 new remote-job listings were recorded globally in 2024.[29]
  • In the U.S. entertainment and media sector, 37.4% of new job postings were remote in 2024.[29]
  • Across independent UK publishers, 42% of staff worked fully from home in 2025.[28]

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

  • 42% of staff at UK independent publishers had hybrid working arrangements in 2025, while 42% worked fully from home and 16% worked fully in an office.[28]
  • Across independent UK publishers, 58% of organizations required full-time staff to work a minimum number of days in the office in 2025.[28]
  • 42% of journalists surveyed globally worked in hybrid arrangements in 2024, compared with 24% working in-office and 34% fully remote.[30]
  • 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.[31]
  • 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.[32]

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

  • Creative and media employees rated work-life balance 7.29 out of 10 in CultureMonkey’s Q3 2026 benchmark.[33]
  • Creative and media employees rated autonomy 8.62 out of 10 in CultureMonkey’s Q3 2026 benchmark.[33]
  • Creative and media employees rated meaningful work 8.76 out of 10 in CultureMonkey’s Q3 2026 benchmark.[33]
  • Creative and media employees scored 7.67 out of 10 for engagement in CultureMonkey’s Q3 2026 benchmark.[33]
  • Across communications and public-relations professionals, 89% reported being engaged at work in a 2024 survey.[34]

Change Management in the media and publishing sector (sector benchmark)

  • 74% of media and publishing leaders agreed or strongly agreed that their company culture encouraged change and innovation in 2022.[35]
  • 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.[36]
  • 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.[35]
  • 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.[35]
  • 25% of surveyed news workers at one US newsroom thought management had communicated its goals effectively during organizational change.[37]

08 Statistics

Customer & Sales

Customer signals tied usage to adoption footprints, with HeyGen reporting more than 40 million users and adoption by 85% of Fortune 100 companies in 2026.

Customer experience in the ai video industry

  • 75.6% of 2,385 global consumers said brands should disclose their use of AI in video content, according to a 2025 HeyGen survey.[38]
  • 70% of consumers in a 2024 video-technology study said they wanted to know whether a brand video was created using AI tools.[39]
  • 85.5% of 2,385 global consumers reported a positive reaction when they knew an AI video had been assisted by humans, in a 2025 HeyGen survey.[38]

Customer retention in the ai video industry

  • Synthesia contracts worth more than $100,000 tripled during the 12 months before April 2026, according to Sacra’s company analysis.[40]
  • Synthesia’s net revenue retention exceeded 140% in April 2026, according to Sacra’s company analysis.[40]

Customer acquisition in the ai video industry

  • HeyGen reported more than 30 million users across 196 countries in June 2026.[16]
  • HeyGen reported more than 40 million users and adoption by 85% of Fortune 100 companies in 2026.[16]
  • Synthesia reported more than 65,000 customers globally in 2025, including over 70% of Fortune 100 companies, according to Fortune.[41]

Customer loyalty in the ai video industry

  • Personalized video was 3.5 times more likely to make consumers become or remain customers in a 2025 video-technology study.[42]
  • Personalized video was four times more likely to make consumers feel valued by a brand in a 2025 video-technology study.[42]

09 Statistics

Marketing & Brand

Advertising creative built from scratch or enhanced with GenAI reached 30% in 2025, and IAB projected 39% for 2026.

Marketing in the ai video industry

  • 30% of digital-video ad creative was produced or enhanced with generative AI in 2025, according to IAB’s advertiser survey.[4]
  • 51% of digital-video advertising buyers were already using generative AI to create or enhance ads in 2025, according to IAB.[4]
  • 34% of digital-video advertising buyers planned to use generative AI for ad creation, according to IAB’s 2025 survey.[4]
  • 86% of businesses used video as a core marketing tool in the 2025 HeyGen report.[38]
  • 39% of digital-video ad creative was expected to be produced or enhanced with generative AI in 2026, according to IAB’s 2025 forecast.[4]

Digital marketing in the ai video industry

  • 25% of respondents in a 2024 creative-and-marketing survey reported using Canva for video creation.[43]
  • 6% of respondents in a 2024 creative-and-marketing survey reported using HeyGen for video creation.[43]
  • 25% of respondents in a 2024 creative-and-marketing survey reported using Sora for video creation.[43]
  • 12% of respondents in a 2024 creative-and-marketing survey reported using Runway for video creation.[43]

Branding in the ai video industry

  • 59.4% of consumers preferred an icon or label as the way brands disclose AI-generated video, according to HeyGen’s 2025 survey.[38]
  • 25.5% of consumers preferred a note in the video description as the way brands disclose AI-generated video, according to HeyGen’s 2025 survey.[38]
  • 62.8% of global consumers said AI-generated video enhances a brand’s creativity and authenticity in a HeyGen survey reported in 2025.[44]
  • 13.7% of consumers preferred social-media hashtags as the way brands disclose AI-generated video, according to HeyGen’s 2025 survey.[38]

Social media in the ai video industry

  • 69.4% of consumers identified social media as the platform where they were most comfortable with AI-generated content in HeyGen’s survey.[38]
  • 87% of AI-video adopters used AI video for social media in Arcade’s 2026 State of AI Video survey.[2]
  • 13.7% of consumers preferred social-media hashtags for labeling AI-generated videos, according to HeyGen’s 2025 survey.[38]
  • 39% of AI-video adopters identified social media as their top-priority video use case in Arcade’s 2026 survey.[2]

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

  • $32.6 billion was the estimated global influencer-marketing market in 2025, up from $24.0 billion in 2024.[45]
  • 56% of brands said generating user-generated content was the main purpose of their influencer campaigns in 2024, versus 23% citing sales generation.[46]
  • 69% of brands using influencer marketing reported using TikTok in 2024, compared with 47% using Instagram, 33% YouTube and 28% Facebook.[46]
  • $37.1 billion was projected for U.S. creator advertising spend in 2025, including sponsored content, paid amplification and planned creator adjacencies.[45]
  • 17% of media-agency respondents in a 2026 survey said they partnered with influencers to create content for retail media globally.[47]

10 Statistics

Operations & Execution

Operational throughput and latency figures remained measurable; Veo averaged 18.2 seconds end-to-end including scheduling and data transfer in 2026.

Process optimization in the ai video industry

  • 98.4% was the successful-generation rate reported for a video storytelling system in evaluation experiments in 2025.[48]
  • 12 credits per second is Runway’s listed generation rate for Gen-4.5 video in 2026.[49]
  • $4.56 is Runway’s stated generation cost for a finished 10-second advertisement under its cited example in 2026.[50]
  • 18.2 seconds was the average end-to-end time to generate a video with Veo in a 2026 study, including scheduling and data transfer.[51]
  • 35 seconds of Gen-4.5 video is covered by 420 credits in Runway’s Standard plan documentation in 2026.[49]

Operational efficiency in the ai video industry

  • More than 40 million people used HeyGen by 2026, according to the company.[16]
  • 26,436,115 videos had been translated through HeyGen by 2026.[16]
  • 177-plus languages and dialects were supported by HeyGen in 2026.[16]
  • 155,945,810 avatars had been generated on HeyGen’s platform by 2026.[16]
  • 179,920,287 videos had been generated on HeyGen’s platform by 2026, according to the company’s operating metrics.[16]

Quality management in the ai video industry

  • 4.66 was Gen3’s imaging-quality score on the Video-Bench leaderboard reported in Stanford’s 2026 AI Index.[52]
  • 4.44 was Gen3’s aesthetic-quality score on the Video-Bench leaderboard reported in Stanford’s 2026 AI Index.[52]
  • 16 evaluation dimensions were included in the VBench++ text-to-video benchmark described in its 2025 publication.[53]
  • 66.7% was Veo 3’s leading total score on VBench-2.0 in the early-2026 evaluation summarized by Stanford.[52]
  • 53.5% quality enhancement was reported after using AIGVE-MACS feedback in an iterative video-generation refinement framework.[48]

Supply chain in the ai video industry

  • 20,000 film and television titles were included in Lionsgate’s proprietary catalog for its 2024 partnership with Runway.[54]
  • 140-plus languages were supported by Synthesia’s AI-avatar video platform in its 2025 company description.[55]
  • 3.5 million-plus customers were served by the video and creative platform Lightricks according to its 2025 company profile.[54]
  • 240-plus avatars were available in Synthesia’s platform description in 2026.[21]
  • 140-plus languages were cited by Synthesia in its 2026 billing-platform engineering article.[21]

Outsourcing / Offshoring in the media and publishing sector (sector benchmark)

  • 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.[56]
  • 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.[57]
  • 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.[56]
  • 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.[57]
  • 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.[56]

11 Statistics

Finance & Pricing

Pricing references were expressed per second or per credit, including Runway Dev’s $0.12 per second for 1080p Gen-4.5 in 2026.

Pricing strategy in the ai video industry

  • $0.235 per second was Runway Dev’s listed 1080p Kling 4.0 video-generation price in 2026.[50]
  • $0.12 per second was Runway Dev’s listed 1080p Gen-4.5 video-generation price in 2026.[50]
  • $0.01 per credit was the conversion rate stated by Runway Dev in its 2026 pricing explanation.[50]
  • $0.68 per second was Runway Dev’s listed 1080p Seedance 2.5 video-generation price in 2026.[50]
  • 30 credits per second was Runway’s listed 720p Seedance 2.5 rate in 2026.[49]

Cost reduction in the ai video industry

  • One-twentieth was the estimated cost ratio of AI-generated comic dramas and animated content to conventional animation in 2025 industry figures.[58]
  • One-fifth was the estimated cost ratio of AI-generated short dramas to conventional live-action short dramas in 2025 industry figures.[58]
  • $0.009 was the reported AWS cost per video for Qwen3-Omni text-and-video processing in a 2026 study.[59]
  • $1 to $2 was the estimated cost to render one AI-generated scene using Moonvalley’s model in 2025.[60]
  • $200,000 was the reported total training cost for Open-Sora 2.0 in 2025.[48]

Profitability in the ai video industry

  • $113.2 million was estimated annual revenue for Synthesia in a 2025 financial analysis.[61]
  • $200 million was HeyGen’s annual recurring revenue in June 2026.[16]
  • $1.5 million was HeyGen’s reported revenue per full-time employee in June 2026.[62]
  • 75% was the estimated gross margin for Synthesia in the same 2025 financial analysis.[61]
  • 2.70 dollars of annual recurring revenue per dollar of equity capital raised was reported by HeyGen in June 2026.[16]

Financial planning in the ai video industry

  • $200 million was the size of the funding round associated with Synthesia’s reported 2025 valuation increase.[54]
  • $100 million was Synthesia’s annual recurring-revenue milestone announced in April 2025.[21]
  • Eight months was the period in which HeyGen doubled its annual recurring revenue to more than $200 million by June 2026.[16]
  • $4 billion was Synthesia’s reported valuation after its 2025 funding round, according to company and market reports.[21]
  • $74 million was HeyGen’s cumulative funding reported by June 2026.[62]

12 Statistics

Product & Service

Product release velocity and workflow uptake stayed prominent; HeyGen shipped 63 products and features in the three months before June 2026.

Product development in the ai video industry

  • 85% of Fortune 100 companies were using HeyGen for training, sales enablement or localization by June 2026.[16]
  • HeyGen users had created more than 118 million videos by June 2026.[16]
  • 63% of video marketers used AI to create or edit video content in 2026, up 51% from the previous year, globally.[21]
  • 41% of brands used AI for video creation in 2025, compared with 18% in 2024, according to Wistia’s survey of video professionals.[17]
  • HeyGen shipped 63 products and features during the three months before June 2026, including Avatar V and HyperFrames.[16]

Product lifecycle in the ai video industry

  • 68% of marketers created explainer videos in 2026, the second-most common marketing-video format.[21]
  • 59% of marketing video content was produced in-house in 2026, while 32% used a combination of in-house and agency production.[21]
  • 47% of companies planned customer-testimonial videos in 2026, up from 17% in 2023.[17]
  • 69% of marketers created social-media videos in 2026, making them the most common marketing-video format.[21]
  • 63% of consumers preferred learning about a product through short-form video rather than a text article in 2026.[21]

After-sales in the ai video industry

  • 74% of consumers were interested in receiving AI videos from brands in 2026, up from 65% in 2025.[14]
  • 90% of viewers had concerns about AI-generated video accuracy, quality or origins in 2024.[63]
  • 51% of customer-service journeys began on third-party platforms such as Google, YouTube or ChatGPT in Gartner’s 2025 survey.[64]
  • Consumers were three times more likely to find an AI video generated from a document easier to understand than the document itself in 2026.[14]
  • 87% of viewers preferred a real person over an animated character or AI avatar in instructional video in 2024.[63]

Value proposition in the ai video industry

  • 71.1% of AI-avatar users said the technology saved them time in HeyGen’s 2026 survey of small-business owners.[16]
  • 58% of consumers were more likely to buy from businesses using next-generation video in communications in Idomoo’s 2025 study.[42]
  • Personalized video made consumers 3.5 times more likely to become or remain a customer in Idomoo’s 2025 study.[42]
  • 55.3% of AI-avatar users said the technology enabled them to post more often in HeyGen’s 2026 survey.[16]
  • 36.1% of AI-avatar users made a video in under an hour, compared with 20.1% of non-users, in HeyGen’s 2026 survey.[16]

13 Statistics

Sustainability & Ethics

Carbon accounting varied sharply with assumptions, including 0.25 grams of CO2 per video-generation request for a 2-second 240p video.

Sustainability in the ai video industry

  • 6 times more carbon was emitted per request by generating a 2-second, 240p video than by generating a comparable text response in the 2024 Open-Sora study.[65]
  • 78 times more carbon was emitted per video frame than per text token in the 2024 comparison of Open-Sora video generation with Meta Llama 2 13B text generation.[65]
  • 84% of the carbon footprint of generating a short, low-resolution video came from operational carbon when the data center was powered by wind, in the United States study scenario in 2024.[65]
  • 5.4 times more operational than embodied carbon was emitted by video generation when the modeled data center used wind power, according to a 2024 Open-Sora study.[65]
  • 94.8% of the carbon footprint of a short video was attributable to diffusion denoising at 20 denoising steps in the 2024 Open-Sora analysis.[65]

Ethics in the ai video industry

  • 50% of UK children aged 8 to 15 said they had seen at least one deepfake online during the six months before Ofcom’s 2024 research.[66]
  • 49% of surveyed companies experienced both audio and video deepfakes in 2024, up from 37% experiencing audio deepfakes and 29% experiencing video deepfakes in 2022.[67]
  • 43% of UK people aged 16 and over said they had seen at least one deepfake online during the six months before Ofcom’s 2024 research.[66]
  • More than 4 billion views were recorded for intimate-image-abuse deepfake videos on leading deepfake video sites in 2023, according to research cited by Ofcom.[66]
  • 3,000% was the increase between 2022 and 2023 in attempts to use fraudulent deepfakes to circumvent identity-verification systems, according to Onfido data cited by Ofcom.[66]

Carbon footprint in the ai video industry

  • 0.4% of the modeled carbon footprint of video generation came from embodied carbon when the data center used gas power in the 2024 Open-Sora analysis.[65]
  • 0.25 grams of CO2 were emitted per video-generation request in the 2024 Open-Sora study, which modeled a 2-second video at 240p resolution.[65]
  • 23.6% of the carbon footprint came from VAE decoding when video generation used one diffusion denoising step in the 2024 Open-Sora analysis.[65]
  • 47.5% of the carbon footprint came from diffusion denoising when video generation used one diffusion denoising step in the 2024 Open-Sora analysis.[65]
  • 28.8% of the carbon footprint came from language-model encoding when video generation used one diffusion denoising step in the 2024 Open-Sora analysis.[65]

15 Statistics

Globalization & Expansion

Cross-border customer footprints were quantified, with HeyGen customers in 196 countries by June 2026.

Globalization in the ai video industry

  • 30,000 enterprise users worldwide had partnered with Kling AI by December 2025.[20]
  • 60 million creators worldwide used Kling AI in December 2025, according to Kuaishou.[20]
  • Approximately 50% of Synthesia’s revenue came from the United States in 2026.[21]
  • 196 countries had HeyGen customers in June 2026.[16]
  • Over 200 countries and regions had deployed MiniMax products by September 2025.[75]

Cultural adaptation in the ai video industry

  • More than 70 countries were covered by Berlitz’s AI-video language-training business.[21]
  • 50 languages were offered by Berlitz in its AI-video language-learning operations.[21]
  • 140 languages were supported by Synthesia’s AI-video platform in 2026.[21]
  • More than 30 languages were used by Electrolux for AI-generated training videos with Synthesia.[21]
  • 35 languages were used across 40 Electrolux AI-video training modules.[21]

Supplier management in the ai video industry

  • Seven million videos had been generated by Kling beta users during its initial 2024 phase.[20]
  • Over 30,000 enterprise users had partnerships with Kling AI by December 2025.[20]
  • 1.4 million minutes of footage had been dubbed through Vimeo and ElevenLabs since January 2026.[27]
  • 27% of Vimeo enterprise accounts had tried AI dubbing by 2026.[27]
  • More than 25,000 videos had used Vimeo’s ElevenLabs AI-dubbing integration by 2026.[27]

Stakeholder management in the ai video industry

  • 47 countries were served by Insight Global after introducing AI-video e-learning content.[21]
  • Over 1 million users had joined Synthesia’s AI-video platform by 2025.[21]
  • 60 million household products were sold annually by Electrolux across more than 120 markets using globally coordinated training content.[21]
  • Over 100 countries were covered by Evonik’s operations using localized AI-video learning content.[21]
  • 15,000 Electrolux customers, partners and employees were targeted by multilingual AI-video training.[21]

Distribution channels in the ai video industry

  • Online marketing, e-commerce, film and television, animation and gaming were identified as Kling AI application channels in 2025.[20]
  • More than 60 million global creators used Kling AI’s direct platform channel in 2026.[20]
  • Kuaishou’s AI-video ecosystem used major global social-media platforms to broaden Kling’s mainstream distribution in 2025.[20]
  • 600 million videos had been generated through Kling AI by December 2025.[20]
  • Kling AI used subscription access for individuals and API services for businesses in 2026.[20]

Key questions about the AI Video Industry

What is the AI video market size for 2025, and what does 2026 project to be?
The global AI video market reached $4.6 billion in 2025. Grand View Research estimates it will reach $5.5 billion in 2026.
How fast is the AI video market expected to grow from 2026 to 2033?
The market is projected to reach $42.3 billion by 2033. That implies a 33.7% CAGR from 2026 to 2033.
Which companies lead the ai video industry?
Google leads Gitnux's 2026 ai video ranking with an Overall score of 9.6, with Veo available through Flow, Gemini API, Vertex AI and Google Vids. HeyGen is the highest-ranked AI video communications provider at 9.3, with 40 million users and Fortune 100 adoption by 2026.
What technology shifts show up in 2025–2026 adoption and production workflows?
Buyers expected generative AI to produce or enhance 30% of digital-video ad creative in 2025 and 39% in 2026. In parallel, 60% of adopters said output still looked obviously AI-generated in 2026.
How is the market structure concentrated among model providers?
Surveyed video-generation users showed concentrated usage shares, with OpenAI at 65% and Google at 60% in 2025. Kuaishou had 28% and Pika had 20%, and shares could sum above 100% because respondents used multiple models.
What is the main adoption gap that keeps appearing in 2025–2026 reporting?
Measurement is the major unresolved gap. IAB also identified measurement, integration, and trust as important constraints.
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
Marie Larsen. (2026, February 13). AI Video Industry Statistics. Gitnux. https://gitnux.org/ai-video-industry-statistics
MLA
Marie Larsen. "AI Video Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-video-industry-statistics.
Chicago
Marie Larsen. 2026. "AI Video Industry Statistics." Gitnux. https://gitnux.org/ai-video-industry-statistics.

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