The bottleneck in content operations is not content creation. The most recent research MarTech Intelligence Report on DAM Platforms found that as As asset volume, personalization demands and channel complexity continue to grow, the bottleneck likely lies in the systems needed to manage, adapt and distribute content at scale.
Let’s start with the volume of content, because it is the basis for everything else. According to Salesforce’s “State of Marketing Report, Tenth Edition,” 78% of marketers say they need more personalized content than they are currently able to produce, and 65% struggle to produce personalized, timely content for all their segments.
These numbers reflect a real production bottleneck, but they also indicate that a well-configured DAM platform is cost-effective. A single campaign that once required a handful of asset variations now routinely requires dozens, if not hundreds. Organizations that manage this volume properly have the right infrastructure. Those who aren’t yet are the ones feeling the pressure.
Video is accelerating this change. One of the most striking data points I came across was from MediaValet’s 2026 DAM Trends Report: video adoption within DAM platforms increased from 68% to 83% in a single year.
It’s a rapid evolution and suppliers have kept pace. Platforms now come with video-specific features such as automated transcription, multilingual subtitling, copyright detection, and reuse recommendation engines that surface existing footage before teams commission new production, with direct implications on both budget and speed to market.
AI does the heavy lifting
Operationally, AI removes much of the friction from DAM workflows. Data from Bynder’s “State of DAM 2026” study shows that 62% of organizations have already moved beyond early adoption of AI in their DAM — and platforms that scale it effectively are seeing real returns.
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The most significant change is the growing use of agentic AI. It goes beyond automatic tagging and intelligent cropping to handle more complex, multi-step work: detecting off-brand content at scale, generating hyper-personalized asset variants, managing approval routing, and resolving rights conflicts.
These systems also help ensure that images and videos comply with emerging SEO and geolocation standards, helping brands to be found by their customers. I explored this in more depth in the report’s companion podcast, and it’s worth listening to if you want to understand what’s actually possible right now, not just what’s coming.
That said, AI does not mean hands-off. Nine out of ten respondents to a Bynder/Censuswide survey said human oversight is essential to protect brand identity when AI-generated content is involved. The good news is that leading platforms have this monitoring built in, with support for content credentials, AI generation reporting, and audit trail capabilities that give teams visibility without slowing everything down.
A growing market means more good options
The DAM market is expected to grow from $7.73 billion in 2025 to $31.99 billion by 2034, a compound annual growth rate of 15.26%, according to IMARC Group. This growth is generating investment, competition and capacity expansion across the board, which is good news for buyers.
The landscape, however, is worth understanding before you begin to assess. Pure-play DAM providers, broader marketing suites with integrated DAM capabilities, and adjacent platforms entering the space each have distinct strengths. And with organizations using an average of 2.5 DAM platforms in parallel, according to Gartner’s 2025 Magic Quadrant for DAM Platforms, there is a real opportunity for consolidation if you ask the right questions.
Where to start
The report is designed to simplify this assessment process. If you’re trying to understand what all this means for your specific situation, the custom chatbot created for this report is a good first stop: you can ask it questions about your use case and get research-backed answers.
The full PDF and all accompanying interactive assets are available here. Download the report, check out the podcast for a deeper analysis of the AI and vendor landscape, and use the chatbot to get personalized advice on what to look for during your next DAM assessment.
