---
title: "Text-to-Video AI Statistics for Creative Teams in 2026"
description: "Explore 49 text-to-video AI statistics for 2026, including market growth, adoption, ROI, production speed, and trends reshaping creative teams."
canonical: "https://lumalabs.ai/news/text-video-ai-statistics"
source: "https://lumalabs.ai/news/text-video-ai-statistics.md"
---

# Text-to-Video AI Statistics for Creative Teams in 2026

_By Luma team · July 18, 2026_

_How the numbers shape campaigns, timelines, and what creative teams can actually deliver_

A 60-second marketing video that took 13 days now takes 27 minutes. That shift explains why creative teams are rebuilding how they move from brief to finished work. The [text-to-video AI market](https://www.marketresearchfuture.com/reports/text-to-video-ai-market-32604) reached $2.645 billion in 2024, and it is growing faster than any other category in video production. For teams using AI tools, the change is not theoretical. It is visible in the number of directions they can test, the variants they can deliver, and the time they get back for the work that matters.

## **Key Takeaways**

- **Production costs dropped 97% since 2020.** A freelance video project now renders at a fraction of traditional cost. Creative teams test more directions without budget negotiations for every iteration.
- **27 minutes replaces 13 days.** The average [60-second marketing video](https://www.ngram.com/blog/ai-video-statistics-2026) moved from nearly two weeks to under half an hour. Teams revise in real time instead of waiting for the next production window.
- **Text-to-video represents 46.3% of all AI video generation.** This is the [dominant creation method](https://www.ngram.com/blog/ai-video-statistics-2026), and it is growing because it fits how creative teams already work: start with words, end with footage.
- **91% of businesses now use video as a marketing tool.** That number [returned to highs](https://www.ngram.com/blog/ai-video-statistics-2026). The teams producing this volume need faster paths from concept to deliverable.
- **124 million monthly active users on AI video platforms.** The [January 2026 count](https://www.ngram.com/blog/ai-video-statistics-2026) reflects how many people moved past experimentation into daily use.
- **34 hours saved per week per marketing team.** That is [time previously spent](https://www.ngram.com/blog/ai-video-statistics-2026) on production and editing, now available for creative development, client work, or simply finishing on schedule.
- **The market will reach $30.31 billion by 2035.** [Growth projections](https://www.marketresearchfuture.com/reports/text-to-video-ai-market-32604) at 24.82% CAGR mean the tools will keep improving, and teams that build fluency now will have a structural advantage.

[Try Luma Now](https://auth.lumalabs.ai/sign-up)

## **Market Size and Growth: Where the Investment Is Going**

### **1. $2.645 billion market size in 2024**

The text-to-video AI market was [valued at $2.645 billion](https://www.marketresearchfuture.com/reports/text-to-video-ai-market-32604) in 2024. That baseline establishes the scale of investment flowing into tools that help creative teams move from script to screen. The market represents a fundamental shift in how video content gets produced at scale.

### **2. $30.31 billion projected by 2035**

Market projections show [growth to $30.31 billion](https://www.marketresearchfuture.com/reports/text-to-video-ai-market-32604) by 2035. This trajectory means the category will attract continued R&D investment, and the tools available in two years will be substantially more capable than today. Enterprise adoption will accelerate as capabilities mature.

### **3. 24.82% CAGR from 2025 to 2035**

The market will grow at [24.82% compound annual](https://www.marketresearchfuture.com/reports/text-to-video-ai-market-32604) growth over the next decade. For comparison, the broader video editing category grows at 5.2% CAGR. AI video is moving nearly five times faster.

### **4. $716.8 million AI video generator market in 2025**

The AI video generator segment specifically reached [$716.8 million in 2025](https://www.fortunebusinessinsights.com/ai-video-generator-market-110060), with projections to hit $847 million in 2026. This growth reflects the shift from novelty to production tool. Teams are moving these platforms into daily workflows.

### **5. $3.35 billion projected for AI video generators by 2034**

Looking at the AI video generator market alone, [projections show $3.35 billion](https://www.ngram.com/blog/ai-video-statistics-2026) by 2034 at 18.8% CAGR. The specialized tools creative teams actually use are scaling alongside the broader market. Feature development will continue to accelerate.

### **6. $867 million market increase between 2024 and 2029**

Technavio forecasts the text-to-video AI market will [increase by $867 million](https://www.technavio.com/report/text-to-video-ai-market-industry-analysis) at a 40.8% CAGR in the near term. The next five years will see the steepest growth curve. Early adopters will establish competitive advantages during this period.

### **7. 840% growth in video generation volume from 2024 to 2026**

AI video generation volume [grew 840%](https://www.ngram.com/blog/ai-video-statistics-2026) between January 2024 and January 2026. That is not market value, that is actual output. Creative teams are producing more video because they can.

### **8. 3.6x faster growth than traditional video editing**

AI video grows [3.6 times faster](https://www.ngram.com/blog/ai-video-statistics-2026) than traditional video editing software. The gap will widen as AI tools add capabilities that traditional editors cannot match. Market share will continue shifting toward AI-native platforms.

## **Production Speed and Cost: What Changes for the Team**

### **9. 97% drop in production costs since 2020**

Production costs [dropped approximately 97%](https://www.ngram.com/blog/ai-video-statistics-2026) from 2020 to Q1 2026. A project that previously required significant freelance investment now renders at minimal cost. Creative directors can greenlight more concepts when the cost of testing each one approaches zero.

### **10. 27 minutes instead of 13 days for a 60-second video**

Average time to produce a [60-second marketing video](https://www.ngram.com/blog/ai-video-statistics-2026) dropped from 13 days to 27 minutes. The revision cycle that once required scheduling a reshoot now happens before lunch. This speed enables real-time campaign adjustments.

### **11. 34 hours saved per week per marketing team**

AI video tools save the average marketing team [34 hours per week](https://www.ngram.com/blog/ai-video-statistics-2026) previously spent on production and editing. That is nearly a full-time employee's worth of hours redirected toward creative strategy, client communication, or simply maintaining deadlines. The time savings compound across quarterly campaigns.

### **12. 68% faster time to publish**

Teams using AI video report [68% faster publication](https://www.ngram.com/blog/ai-video-statistics-2026) times. Campaigns launch when the market window is open, not when the production calendar allows. Some platforms let teams save repeatable processes, allowing workflows built for one campaign to be reused immediately for the next.

## **Adoption Statistics: How Many Teams Are Using AI Video**

### **13. 91% of businesses use video as a marketing tool**

[91% of businesses](https://www.ngram.com/blog/ai-video-statistics-2026) now use video as a marketing tool in 2026, returning to joint all-time highs. Video is not a differentiator, it is a baseline expectation. The question is how fast a team can produce it.

### **14. 63% of video marketers have used AI tools**

[63% of video marketers](https://www.ngram.com/blog/ai-video-statistics-2026) have used AI tools to help create or edit marketing videos. The majority has already experimented. The next phase is integration into daily production workflows.

### **15. 78% of marketing teams use AI video in at least one campaign per quarter**

[78% of marketing teams](https://www.ngram.com/blog/ai-video-statistics-2026) now use AI-generated video in at least one campaign per quarter. This is not occasional use, it is a regular part of the campaign mix. Quarterly adoption rates continue climbing.

### **16. 71% of firms use generative AI in one or more business functions**

Generative AI adoption reached [71% of firms](https://www.ngram.com/blog/ai-video-statistics-2026) in 2025, up from 55% in 2024. The growth rate shows organizations moving past pilot programs into operational deployment. Cross-functional adoption drives platform standardization.

### **17. 124 million monthly active users on AI video platforms**

Monthly active users across AI video platforms [surpassed 124 million](https://www.ngram.com/blog/ai-video-statistics-2026) in January 2026. The user base is larger than many social platforms. This scale drives continuous platform improvements and feature development.

### **18. 80%+ of enterprises will have deployed GenAI applications by 2026**

Gartner projects that [over 80% of enterprises](https://www.ngram.com/blog/ai-video-statistics-2026) will have used generative AI APIs or deployed GenAI-enabled applications by 2026. Enterprise adoption creates demand for tools that fit into existing approval chains and brand guidelines. Compliance and security requirements shape platform roadmaps.

### **19. 67% of non-video marketers plan to start in 2026**

Among marketers who do not currently use video, [67% plan to start](https://www.ngram.com/blog/ai-video-statistics-2026) in 2026. The barrier that kept them out was time and budget constraints. AI removes both obstacles simultaneously.

## **Content and Format Trends: What Teams Are Actually Making**

### **20. 46.3% of AI video generation is text-to-video**

Text-to-video accounts for [46.3% of generation](https://www.ngram.com/blog/ai-video-statistics-2026), making it the dominant creation method. Teams start with a brief, a script, or a concept, and the output is footage. That input-to-output relationship matches how campaigns already get developed.

### **21. PowerPoint-to-video is the fastest-growing segment at 21.8% CAGR**

The PowerPoint-to-video segment grows at [21.8% CAGR](https://www.ngram.com/blog/ai-video-statistics-2026), the fastest in the category. Corporate teams are turning internal materials into video at scale. Existing presentation decks become video assets without additional production work.

### **22. 59% of AI-generated videos are now vertical format**

Vertical (9:16) format now represents [59% of AI videos](https://www.ngram.com/blog/ai-video-statistics-2026), up from 31% in 2024. Social-first production is the default, and teams need tools that output for TikTok, Reels, and Shorts natively. Platform-specific formatting is becoming automated.

### **23. Short-form videos receive 2.5x more engagement**

Short-form videos receive [2.5 times more engagement](https://www.ngram.com/blog/ai-video-statistics-2026) than long-form videos. The format preference is clear, and AI makes producing multiple short variants economically viable. Teams can test dozens of cuts from a single concept.

### **24. 85% of AI-generated videos include auto-generated captions**

[85% of AI videos](https://www.ngram.com/blog/ai-video-statistics-2026) now include auto-generated captions. Accessibility and silent viewing are built into the output, not added in post. This reduces post-production workload significantly.

### **25. 94.6% of internet users watch online video monthly**

[94.6% of internet users](https://www.ngram.com/blog/ai-video-statistics-2026) worldwide watched online videos monthly in Q2 2025. Nearly everyone consumes video. The challenge is producing enough to reach them.

### **26. 17 hours of online video watched per week per person**

People watch an average of [17 hours weekly](https://www.ngram.com/blog/ai-video-statistics-2026). The appetite is there, supply is the constraint. AI video generation helps teams match this consumption demand.

### **27. 82.5% of global internet traffic is video**

[82.5% of internet traffic](https://www.ngram.com/blog/ai-video-statistics-2026) is now video content. The medium dominates attention, and creative teams need output that matches. Bandwidth allocation reflects this video-first reality.

## **ROI and Conversion: What Video Delivers**

### **28. 86% higher conversion on landing pages with video**

Landing pages with video convert up to [86% better](https://www.ngram.com/blog/ai-video-statistics-2026) than those without. The business case for video is settled. The question is how to produce it efficiently.

### **29. 4.8% conversion rate with video strategy versus 2.9% without**

Websites using video strategy average a [4.8% conversion rate](https://www.ngram.com/blog/ai-video-statistics-2026) compared to 2.9% without video. That gap justifies investment in video production capacity. The ROI calculations favor video-first strategies.

### **30. 300% higher click-through rates in emails with video**

Email campaigns with video see [300% higher CTR](https://www.ngram.com/blog/ai-video-statistics-2026). The performance difference is large enough to change email marketing strategy. Video thumbnails drive engagement immediately.

### **31. 9.1% conversion rate for emails with embedded video**

Emails with embedded video achieve a [9.1% conversion rate](https://www.ngram.com/blog/ai-video-statistics-2026) versus 5.4% without. Nearly double the conversion from the same send. Email video is becoming a standard practice.

### **32. 82% of marketers say video delivers good ROI**

[82% of marketers](https://www.ngram.com/blog/ai-video-statistics-2026) say video gives them a good ROI in 2026. The format works, execution is the challenge. AI tools are removing execution barriers.

### **33. 93% say video increased brand awareness**

[93% of video marketers](https://www.ngram.com/blog/ai-video-statistics-2026) say video increased brand awareness. The channel builds recognition in ways other formats do not match. Brand lift from video exceeds other content types.

### **34. 85% say video helped generate leads**

[85% of video marketers](https://www.ngram.com/blog/ai-video-statistics-2026) say video helped generate leads. Awareness and demand generation both improve. The full-funnel impact justifies continued investment.

### **35. 92% of marketers plan to maintain or increase video spend**

[92% of marketers](https://www.ngram.com/blog/ai-video-statistics-2026) plan to spend the same or more on video in 2026. Budget allocation follows performance data. Video budgets are protected even during cuts.

## **Platform-Specific Statistics: Where Video Performs**

### **36. 36% surge in LinkedIn video viewership in 2024**

LinkedIn video viewership [surged 36% in 2024](https://www.ngram.com/blog/ai-video-statistics-2026), reaching 154 billion views. B2B audiences consume video at rates that justify dedicated LinkedIn video strategy. Professional content thrives in video format.

### **37. 3x more engagement for video posts on LinkedIn**

Video posts generate up to [3 times more engagement](https://www.ngram.com/blog/ai-video-statistics-2026) than text or image posts on LinkedIn. The platform algorithm favors the format. LinkedIn's feed prioritizes video distribution.

### **38. 20x more shares for video on LinkedIn**

Video posts are [shared 20 times more](https://www.ngram.com/blog/ai-video-statistics-2026) than any other content type on LinkedIn. Organic reach multiplies when the format matches platform preference. Video sharing drives exponential visibility.

### **39. 1 billion hours of YouTube video consumed daily**

YouTube users collectively consume more than [1 billion hours daily](https://www.ngram.com/blog/ai-video-statistics-2026), with 2.7 billion monthly active users. The scale of the platform demands consistent video output from any team trying to compete. Daily upload consistency becomes achievable with AI tools.

### **40. $223.5 billion in digital video ad spend in 2026**

Digital video ad spending is expected to reach [$223.5 billion in 2026](https://www.ngram.com/blog/ai-video-statistics-2026) and $338.6 billion by 2030. Advertising budgets are flowing toward video, and creative teams need to produce assets that capture that spend. Ad creative volume requirements are increasing exponentially.

## **Enterprise and Market Segmentation: Who Is Using These Tools**

### **41. Large enterprises hold 50.9% of the market**

Large enterprises hold [50.9% of market share](https://www.ngram.com/blog/ai-video-statistics-2026), but SMEs are growing faster at 21.1% CAGR. Both ends of the market are investing. Enterprise adoption validates the technology while SME growth shows accessibility.

### **42. 46% of AI video platform sign-ups come from small businesses**

Small businesses with under 50 employees represent [46% of sign-ups](https://www.ngram.com/blog/ai-video-statistics-2026). Teams without dedicated video production staff are adopting first. The barrier to entry has effectively disappeared.

### **43. Cloud deployment led with 65%+ share in 2024**

Cloud deployment led the text-to-video AI market in 2024, [accounting for 65%+ share](https://www.credenceresearch.com/report/text-to-video-ai-market). Teams want to access tools without infrastructure investment. SaaS delivery models dominate adoption.

### **44. Large enterprises held 60%+ market share in 2024**

Large enterprises held a [dominant 60%+ share](https://www.credenceresearch.com/report/text-to-video-ai-market) of the text-to-video AI market in 2024. Enterprise buyers drive feature development and integration capabilities. Enterprise requirements shape platform roadmaps.

### **45. Software segment dominated with 70%+ share**

The software segment dominated with [over 70% share](https://www.credenceresearch.com/report/text-to-video-ai-market) in 2024. Creative teams want software tools, not consulting services. Self-service platforms are the preferred delivery model.

### **46. Marketing and advertising represents 33.88% of market share**

Marketing and advertising holds [33.88% of market share](https://www.fortunebusinessinsights.com/ai-video-generator-market-110060) in AI video generation. The category's largest use case is campaign production. Marketing departments lead enterprise adoption.

### **47. Media and entertainment represents 23.87% of market share**

Media and entertainment accounts for [23.87% of share](https://www.fortunebusinessinsights.com/ai-video-generator-market-110060). Film, television, and digital media production are active adopters. Professional media workflows are incorporating AI generation.

## **Adoption Barriers: What Still Slows Teams Down**

### **48. 43% cite lack of in-house skills as top barrier**

[43% of marketers](https://www.ngram.com/blog/ai-video-statistics-2026) cite lack of in-house skills as the top barrier to video adoption. The tools are available, the knowledge of how to use them effectively is not. Training and documentation remain critical adoption factors.

### **49. 37% do not know where to start**

[37% of marketers](https://www.ngram.com/blog/ai-video-statistics-2026) who do not create video say they do not know where to start. The starting point is simpler than they expect: a brief, a prompt, a direction. The tools handle the rest once teams understand the workflow.

## **Investment Trends: Where Venture Capital Is Flowing**

AI startups captured close to [50% of VC funding](https://www.ngram.com/blog/ai-video-statistics-2026) in 2025, totaling $202.3 billion and up from 34% in 2024. Within AI specifically, [58% of funding](https://www.ngram.com/blog/ai-video-statistics-2026) went to megarounds of $500 million or more. The capital concentration means a small number of well-funded companies are building the tools creative teams will use.

Demand for AI video creators [surged 66% on Fiverr](https://www.ngram.com/blog/ai-video-statistics-2026) in H2 2025. Searches for "faceless YouTube video creator" [spiked 488%](https://www.ngram.com/blog/ai-video-statistics-2026). The freelance market reflects what clients want: AI-assisted video production at scale.

## **What This Means for Creative Teams**

The statistics point to a single conclusion: video production is no longer gated by time, budget, or specialized staff.

Creative teams can now:

- Test five directions before committing to one
- Deliver social variants alongside the hero asset
- Revise in the same meeting where feedback is given
- Produce for every platform from a single concept

The teams that build fluency with text-to-video tools will produce more campaigns, win more pitches, and keep more control over the final work.

[Luma](https://lumalabs.ai/) is built for this shift. Start with the brief. Generate the first cut. Revise. Export. Keep everything in the same project.

[Try Luma Now](https://auth.lumalabs.ai/sign-up)

## **Frequently Asked Questions**

### **How fast is the text-to-video AI market growing?**

The text-to-video AI market is growing at [24.82% CAGR](https://www.marketresearchfuture.com/reports/text-to-video-ai-market-32604) from 2025 to 2035, nearly five times faster than traditional video editing software. The market is projected to reach $30.31 billion by 2035, up from $2.645 billion in 2024.

### **How much time does AI video save creative teams?**

AI video tools save the average marketing team [34 hours per week](https://www.ngram.com/blog/ai-video-statistics-2026) previously spent on production and editing. A 60-second marketing video that took 13 days to produce now takes [27 minutes](https://www.ngram.com/blog/ai-video-statistics-2026) on average.

### **What percentage of businesses use AI for video marketing?**

[91% of businesses](https://www.ngram.com/blog/ai-video-statistics-2026) use video as a marketing tool in 2026, and [63% of video marketers](https://www.ngram.com/blog/ai-video-statistics-2026) have used AI tools to create or edit marketing videos. [78% of marketing teams](https://www.ngram.com/blog/ai-video-statistics-2026) use AI-generated video in at least one campaign per quarter.

### **Does video improve conversion rates?**

Landing pages with video convert up to [86% better](https://www.ngram.com/blog/ai-video-statistics-2026) than those without. Email campaigns with video see [300% higher CTR](https://www.ngram.com/blog/ai-video-statistics-2026) and achieve [9.1% conversion rates](https://www.ngram.com/blog/ai-video-statistics-2026) compared to 5.4% without video.

### **What is the dominant format for AI-generated video?**

Text-to-video accounts for [46.3% of generation](https://www.ngram.com/blog/ai-video-statistics-2026), making it the dominant creation method. Vertical format (9:16) now represents [59% of AI videos](https://www.ngram.com/blog/ai-video-statistics-2026), reflecting the shift toward social-first production.