While brands agree images and video are key to building trust and credibility online, Cloudinary’s first global digital asset management (DAM) survey reveals they face major bottlenecks when trying to scale, personalize and collaborate efficiently across teams. The independent survey, commissioned by Cloudinary, found that most brands (57%) use 2-3 DAM solutions, and are hamstrung by integration, workflow, collaboration and post-production issues. 86% consider DAM integrability with other solutions in the tech stack extremely or very important and are counting on automation and generative AI to help them overcome these challenges. Learn more in today’s blog and survey infographic.
DAM usage today
In today’s visual economy, brands rely on images and video more than ever. According to the survey, brands use visual content for five main reasons: to build brand trust (64%), to improve product credibility (62%), to improve market awareness/SEO (59%), to drive product purchases (52%), and to reduce product returns (31%). Therefore it’s little wonder the number of digital assets online is surging. Of those surveyed, 25% store 50,000 digital assets or more.
Although text assets such as documents, PDFs or presentations remain the most common type stored in DAMs today (85%), images and video are close behind at 79% and 66%, respectively. Visual assets in particular are expected to grow in the near future, with brands expecting to use more images (65%), short-form video (64%), 3D (41%), live-streaming video and long-form video (both 34%).
Major bottlenecks flagged in workflow/collaboration and post-production work
As digital assets become more diverse and prolific, delivering visual experiences end-to-end and at scale is becoming more challenging for brands. The survey identifies bottlenecks in two areas: workflow/collaboration and post-production. When deploying digital assets at scale across sites and applications, the availability of management resources were identified as the number one challenge at 51%. Post-production issues such as time and effort to create asset variations also rank high at 48%.
Similarly, when delivering assets to the development team for use on websites or apps, the top challenge is managing requests and feedback (44%), followed by getting assets live in a timely manner and delayed feedback on assets (both 39%). When receiving assets from creative partners, post-production and quality issues such as asset quality (50%), support for multiple formats (50%), and late delivery of assets rank high.
Given these challenges, it follows that nearly a third (29%) say it takes days to get approved assets live on websites or applications. In today’s fast-paced economy, this can mean a significant loss. As a result, both workflow and collaboration along with asset optimization (59%) are ranked as the most important capabilities a DAM should provide today.
Outlook: Automation and Generative AI to the rescue
Looking further ahead, respondents believe there are several areas where automation and generative AI capabilities can have a positive impact in the near future. The top five repetitive tasks a DAM should automate are personalized asset composition (53%), asset variations for channels and devices (49%), brand guideline moderation (43%), user generated content (UGC) moderation (32%) and UGC normalization (25%).
Getting even more sophisticated, the top five tools or features where generative AI could make a difference mentioned are: asset editing (54%), text creation (53%), automated image and video management (52%), automatic content modification/personalization (47%) and assets insights and recommendations (42%).
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