---
title: "How Creative Teams Use AI: 32 Multimodal Statistics That Matter in 2025"
description: "Discover 32 multimodal AI statistics for 2025, revealing how creative teams use AI to boost productivity, speed campaigns, improve ROI, and scale content."
canonical: "https://lumalabs.ai/news/creative-teams-use-ai"
source: "https://lumalabs.ai/news/creative-teams-use-ai.md"
---

# How Creative Teams Use AI: 32 Multimodal Statistics That Matter in 2025

_By Luma team · July 18, 2026_

Creative teams face a familiar problem: the brief arrives, the deadline looms, and the work sits somewhere between a concept and a finished campaign. [Generative AI spending](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) hit $37 billion in 2025, up 3.2x from the previous year. That money is going somewhere specific. Teams are using multimodal AI to move from the brief to finished video, images, and audio without rebuilding context at every step. Platforms like [Luma's Ray3.2](https://lumalabs.ai/ray3-2) give directors frame-by-frame control over AI-generated footage that fits into existing post-production pipelines, cutting the time between concept and campaign delivery.

## **Key Takeaways**

- **Market growth reflects creative demand.** The [multimodal AI market](https://www.marketresearchfuture.com/reports/multimodal-ai-market-22520) is projected to reach $523.7 billion by 2035, growing at 44.52% CAGR. Creative teams are driving this adoption because they need tools that handle video, images, and audio together.
- **Enterprise teams are buying, not building.** [76% of AI use cases](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) are now purchased rather than built internally, up from 47% in 2024. Creative teams get to work faster when tools arrive ready to use.
- **Productivity gains are measurable.** Companies report [15% to 30% productivity improvements](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) from generative AI. For creative teams, that means more variants from the same brief, more iterations before the deadline.
- **Multimodal capabilities are a top priority.** [44% of enterprises](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) cite multimodal capabilities as a key technology development. Teams want tools that move between text, image, video, and audio without switching platforms.
- **ROI is concrete.** Every [$1 invested in generative AI](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) returns $3.70 on average. For creative teams, that return shows up in campaigns delivered on time with more creative directions explored.

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

## **Market Size and Projections**

### **1. The multimodal AI market is projected to grow from $3.29 billion in 2025 to $93.99 billion by 2035.**

That's a [39.81% compound annual growth rate](https://www.rootsanalysis.com/multimodal-ai-market). The number matters for creative teams because it signals sustained investment in tools that handle multiple content types. More investment means better models, faster rendering, and more reliable output.

### **2. A separate projection puts the market at $523.7 billion by 2035.**

[Market Research Future estimates](https://www.marketresearchfuture.com/reports/multimodal-ai-market-22520) a 44.52% CAGR through 2035. The range in projections reflects different measurement approaches, but the direction is consistent: multimodal AI is where the money is going.

### **3. The generative AI market reached $62.72 billion in 2025.**

[Statista's projection](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) covers the broader generative AI category. For creative teams, this represents the ecosystem of tools available for video, image, and audio generation.

## **Investment Trends Shaping the Future**

### **4. Worldwide generative AI spending totaled $644 billion in 2025.**

[Gartner's figure](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) represents a 76.4% increase from 2024. This spending includes infrastructure, applications, and services that creative teams use daily.

### **5. Generative AI attracted $33.9 billion in private investment in 2024.**

The [Stanford HAI AI Index Report](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) documents an 18.7% increase from 2023. Private investment funds the research that makes video generation more controllable, image quality more reliable, and audio synthesis more natural.

### **6. 92% of companies plan to invest more in generative AI over the next three years.**

[McKinsey's survey](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) shows sustained commitment. Creative teams at agencies and brands can expect continued tool development and enterprise support.

## **Integrating Video, Image, and Audio AI**

**7. Generative multimodal AI commands over 35% market share.**

[Roots Analysis identifies](https://www.rootsanalysis.com/multimodal-ai-market) generative multimodal AI as the leading force in 2025. This category includes tools that generate video from text, transform images into motion, and add audio to visual content.

### **8. 44% of enterprises cite multimodal capabilities as a key technology development.**

[Deloitte's research](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) ranks multimodal capabilities alongside automation (52%) and multi-agent systems (45%) as top priorities. For creative teams, this means tools are being built to handle the full production pipeline.

### **9. Text remains the most used modality in multimodal AI systems.**

[Roots Analysis notes](https://www.rootsanalysis.com/multimodal-ai-market) that text anchors most multimodal interactions. Creative teams start with briefs, scripts, and prompts. The tools translate that text into visuals and motion.

With [Luma Agents](https://lumalabs.ai/agents-guide), creative teams can:

- Start with a campaign brief
- Generate image concepts and video directions
- Revise based on feedback
- Keep every version in the same project

The agent remembers the brief. The team focuses on the creative decisions, not rebuilding context for every new asset.

### **Efficiency Gains for Creative Workflows**

### **10. Companies report productivity improvements between 15% and 30%.**

[BCG's research](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) documents these gains, with some companies targeting 80% higher productivity. For a creative team producing a product launch campaign, 30% productivity improvement means three extra variants for the same deadline, or the same variants with time left for refinement.

### **11. Every $1 invested in generative AI returns $3.70 on average.**

[BCG calculates](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) this ROI across enterprise implementations. Creative teams see this return when a single brief generates multiple campaign directions without proportional increases in time or cost.

## **AI Usage Statistics: How Professionals Are Adopting Generative Tools**

### **12. Generative AI usage jumped from 55% in 2023 to 75% in 2024.**

[IDC's tracking](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) shows rapid adoption across industries. Creative professionals are part of this shift, moving from experimentation to production use.

### **13. 70% of Gen Z have tried generative AI tools.**

[Forbes reports](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) high adoption among younger workers. Creative teams increasingly include members who arrived with generative AI experience, expecting tools that match that familiarity.

### **14. 50% of developers now use AI coding tools daily.**

[Menlo Ventures finds](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) this rate climbs to 65% in top-quartile organizations. The pattern suggests creative tools will follow the same adoption curve.

### **15. 3x more employees use generative AI for a third or more of their work than their leaders realize.**

[McKinsey's gap analysis](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) reveals hidden adoption. Creative teams are often ahead of official policy, using generative tools to meet deadlines while waiting for approved solutions.

## **Measuring AI's Impact on Productivity**

### **16. AI Experimenters save a median of 6 hours per week.**

[Section's survey](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) categorizes users by proficiency. Experimenters represent 34% of the workforce. Six hours weekly translates to an extra workday per month for campaign development.

### **17. AI Experts save a median of 10 hours per week.**

[The same survey](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) shows experts (1% of workforce) gain even more time. For creative directors and senior producers, those 10 hours mean more time directing the work instead of executing repetitive tasks.

### **18. Media and Entertainment holds 23% of multimodal AI market revenue.**

[SNS Insider reports](https://www.snsinsider.com/reports/multimodal-ai-market-7249) that creative industries lead adoption. This concentration reflects creative teams' need for tools that handle video, images, and audio as connected outputs rather than separate deliverables.

## **The Rise of Cinema-Grade AI Video Generation**

### **19. Machine learning models using transformers hold over 35% market share.**

[Roots Analysis identifies](https://www.rootsanalysis.com/multimodal-ai-market) transformer architecture as the dominant technical approach. This architecture enables the frame-by-frame control that professional production requires.

### **20. Solutions segments expected to dominate with over 65% market share through 2035.**

[The same analysis](https://www.rootsanalysis.com/multimodal-ai-market) shows that packaged solutions outpace component sales. Creative teams prefer tools that work out of the box over building custom systems.

[Ray3.2](https://lumalabs.ai/ray3-2) gives directors:

- Multi-keyframe sequencing across up to 16 frames in a single shot
- HDR support and EXR export for color grading in existing pipelines
- Motion Transfer that applies movement from reference footage to generated scenes

The footage fits into the same post-production process as shot material. Colorists grade it in DaVinci. Editors cut it in Premiere. The AI output becomes part of the campaign, not a separate deliverable requiring manual conversion.

## **Generative AI for Marketing and Advertising Campaigns**

### **21. 69% of marketers use generative AI for image creation.**

[This adoption rate](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) reflects how central visual content has become to campaign development. Marketers generate concepts, test variations, and produce final assets using generative tools.

### **22. 83% of marketers cite content creation as the area where AI makes the most impact.**

[The same research](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) shows content creation leading other applications. For campaign teams, this means faster concepting, more A/B test variants, and quicker turnaround on client revisions.

### **23. 74% of AI initiatives meet or exceed ROI expectations.**

[Survey data](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) shows that generative AI investments are paying off. Campaigns produced with AI assistance deliver measurable returns through faster production and expanded creative testing.

### **Testing and Iteration with AI**

### **24. 47% of AI deals go to production, compared to 25% for traditional SaaS.**

[Menlo Ventures tracks](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) this conversion rate. Creative teams adopt generative AI faster than other software categories because the tools solve immediate production problems.

### **25. 27% of AI application spend comes through product-led growth.**

[That figure](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) is nearly 4x the rate in traditional software (7%). Creative teams try tools, see results, and expand usage. They do not wait for enterprise procurement to finish evaluating options.

For agencies working with multiple brands, [Luma's enterprise solutions](https://lumalabs.ai/enterprise) let teams test ideas before the shoot instead of after. One brief becomes storyboard options. Storyboard options become video concepts. Video concepts become the pitch deck that wins the project.

## **Future Outlook: Generative AI Trends and Projections**

### **26. North America holds approximately 42% of the multimodal AI market.**

[Roots Analysis identifies](https://www.rootsanalysis.com/multimodal-ai-market) the region as the largest market. Creative teams in North America have the widest access to tools and the deepest ecosystem of production partners using generative AI.

### **27. North America's multimodal AI market is projected to reach $11.7 billion by 2034.**

[GM Insights projects](https://www.gminsights.com/industry-analysis/multimodal-ai-market) continued growth in the region. This investment funds the infrastructure that makes [AI video generation](https://lumalabs.ai/create/ai-video-generator) faster and more reliable.

### **28. Asia-Pacific is expected to register the highest growth rate.**

[Regional growth analysis](https://www.rootsanalysis.com/multimodal-ai-market) shows Asia-Pacific leading CAGR projections. Global creative teams will see increased competition and collaboration from this region.

### **29. Healthcare is projected to experience the fastest adoption at 42.75% CAGR.**

[Roots Analysis tracks](https://www.rootsanalysis.com/multimodal-ai-market) industry-specific growth. For creative teams working on healthcare accounts, this signals client readiness for AI-generated content in medical marketing and patient education.

## **Productivity and Creative Control with Multimodal AI Agents**

### **30. 76% of AI use cases are purchased rather than built internally.**

[Menlo Ventures documents](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) this shift from 47% in 2024. Creative teams do not have time to build custom AI systems. They need tools that work on the first project.

### **31. The application layer captured $19 billion in 2025.**

[That figure](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) represents more than 6% of the entire software market. Creative applications are a significant portion of this spending.

With [Luma Skills](https://lumalabs.ai/news/luma-skills), teams save the processes they repeat:

- Product photography to hero shot variations
- Campaign brief to social format variants
- Storyboard sketch to animated sequence

Build the skill once. Run it on the next brief. The team spends time on creative direction instead of recreating the same setup for every project.

### **Overcoming Adoption Barriers**

### **32. 56% of companies have difficulty integrating AI with existing IT systems.**

[BCG's survey](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) identifies integration as a primary barrier. For creative teams, this means choosing tools that export in standard formats and connect to existing asset management systems. Ray3.2's EXR export and HDR support exist specifically to fit into pipelines that already work.

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

## **Frequently Asked Questions**

### **What is multimodal generative AI and why does it matter for creative teams?**

Multimodal generative AI handles multiple content types: text, images, video, and audio. For creative teams, this means one tool can take a brief from concept to finished campaign assets. Instead of switching between separate applications for each content type, teams work in a single environment where the AI understands the project across all deliverables.

### **How much productivity improvement can creative teams expect from generative AI?**

Research shows [productivity improvements](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) between 15% and 30%, with some teams targeting higher gains. Individual users who develop expertise save [6 to 10 hours](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) per week. For campaign production, this translates to more creative directions explored, more variants tested, and more time for refinement before delivery.

### **What is the ROI on generative AI investment for marketing and advertising?**

Companies report an [average return of $3.70](https://www.sequencr.ai/insights/key-generative-ai-statistics-and-trends-for-2025) for every $1 invested in generative AI. For creative teams, this ROI appears in faster campaign turnaround, reduced reshoots through better pre-visualization, and the ability to test more creative directions without proportional cost increases.

### **How are enterprise teams adopting multimodal AI differently than individual creators?**

[76% of enterprise AI](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise) use cases are now purchased rather than built internally, up from 47% in 2024. Enterprise teams prioritize tools that arrive ready for production, integrate with existing systems, and include support for brand safety and compliance. Individual creators often experiment with free tools first, while enterprise teams evaluate security, export options, and team collaboration features.

### **What features should creative teams prioritize when evaluating multimodal AI tools?**

Look for tools that export in formats your post-production pipeline already uses. Check whether the tool maintains context across multiple assets in the same project. Evaluate how many keyframes or control points you have for directing video generation. Teams working on campaigns need tools that handle multiple deliverables from a single brief, not separate tools for each content type that require rebuilding context at every step.