The bottleneck in content operations isn’t material production. Research from the most up to date MarTech Intelligence Record on DAM platforms found that as asset quantity, customization demands, and channel intricacy remain to climb, the chokepoint is likely in the systems required to handle, adjust, and disperse material at range.

Let’s begin with material volume, due to the fact that it’s at the origin of everything else. Seventy-eight percent of marketing professionals state they need much more customized material than they can presently generate, and 65 % battle to produce prompt, tailored web content for all their sectors, according to Salesforce’s “State of Advertising record, Tenth Edition.”

Those numbers mirror a real manufacturing bottleneck– yet they likewise indicate where a well-configured DAM system spends for itself. A single project that once called for a handful of property variants currently routinely calls for lots or hundreds. The companies dealing with that quantity well have the appropriate facilities in position. Those that aren’t yet are the ones feeling the capture.

Video is accelerating this change. Among the much more striking information factors I stumbled upon was from MediaValet’s 2026 DAM Trends Report: video clip adoption inside DAM platforms jumped from 68 % to 83 % in a solitary year.

That’s a fast move, and vendors have kept pace. Systems are currently developed with video-specific abilities, such as automatic transcription, multilingual captioning, copyright detection, and reuse referral engines that emerge existing video footage before teams commission brand-new manufacturing, with direct effects for both spending plan and speed to market.

AI is doing even more of the heavy training

On the operational side, AI is removing much of the rubbing from DAM process. Information from Bynder’s “State of DAM 2026 shows that 62 % of companies have actually already relocated past early-stage AI adoption in their DAM– and the systems that are scaling it successfully are seeing real returns.

The most substantial change is the enhancing use of agentic AI. It exceeds auto-tagging and wise cropping to take care of even more complex, multistep job– discovering off-brand content at range, generating hyper-personalized asset variants, taking care of authorization routing, and settling civil liberties problems.

These systems also aid make certain images and video clips adhere to emerging SEO and GEO requirements, assisting brands be found by their customers. I explored this in more depth in the friend podcast for the record, and it deserves a listen if you wish to comprehend what’s actually possible right now, not just what’s coming.

That said, AI doesn’t imply hands-off. Nine in 10 participants to a Bynder/Censuswide survey said human oversight is necessary to guarding brand name identification when AI-generated content is entailed. The bright side is that leading systems are building that oversight in, with material credentials sustain, AI-generation flagging, and audit route capabilities that provide teams presence without slowing down every little thing down.

A growing market means a lot more great choices

The DAM market is projected to expand from $ 7 73 billion in 2025 to $ 31 99 billion by 2034 at a 15 26 % substance annual growth price, according to IMARC Team. That growth is bringing investment, competition, and capacity development throughout the board– which is excellent information for buyers.

The landscape is worth recognizing before you start assessing, however. Pure-play DAM suppliers, broader marketing suites with ingrained DAM capabilities, and surrounding platforms going into the area each have distinctive toughness. And because organizations use approximately 2 5 DAM platforms in parallel, according to Gartner’s” 2025 Magic Quadrant for DAM Operatings Systems,” there’s a real possibility for combination if you go in with the right questions.

Where to start

The report is developed to make that assessment process straightforward. If you’re trying to figure out what any of this means for your particular circumstance, the custom-made chatbot constructed for this report is a great very first quit– you can ask it questions concerning your usage case and get answers grounded in the research.

The full PDF and all of the accompanying interactive assets are offered right here. Download and install the record, have a look at the podcast for a much deeper dive on AI and the supplier landscape, and utilize the chatbot to get personalized advice on what to search for in your following DAM analysis.