Forrester analysis identifies structural disconnects between creative and media teams as key bottleneck. Generative AI rekindles expectations.
The market for creative advertising technologies has generated enormous promise over the past five years. Regulatory shocks and AI breakthroughs should have triggered a boom. Instead, the market remains constrained by a persistent cultural divide between creative and media teams and by technical bottlenecks that fragment the production pipeline from concept to deployment.
A new analysis from Forrester frames the problem clearly: despite waves of innovation – from dynamic creative optimization (DCO) after iOS 14 to the latest generative AI tools – the ad tech segment has not matured at the pace of adjacent markets like contextual targeting, connected TV, or commerce media. The gap is not a failure of technology. It is a failure of integration.
When Apple’s iOS 14 data restrictions broke audience targeting, advertisers turned to DCO as a solution. Vendors like Adacado, RevJet, Jivox, and Flashtalking promised to personalize creative assets at scale. In practice, DCO requires meticulous planning, large libraries of source assets, and tight coordination between media buyers and creative producers.
Most organisations lacked the process maturity to execute DCO effectively. The result was low adoption, poor return on ad spend, and depressed valuations for the DCO vendors. The technology worked in controlled environments but failed in the messy reality of agency conflict, siloed budgets, and last-minute creative changes.
Generative AI reignited expectations by unlocking seemingly limitless creative velocity and variety. A new wave of providers surged into the market – specialists like AdCreative.ai, Typeface, ad-machina, Pixis, and Pencil, alongside platform behemoths Adobe, Canva, and Figma. The pitch is familiar: take an advertiser from zero to several hero assets, then plug into DCO vendors that “personalize at scale.”
Simultaneously, creative adtech became embedded within the walled gardens of Amazon Ads, Google Ads, and Meta Ads. Those platforms treat creative automation as an integral layer of their broader omnichannel ad offerings. For advertisers, that means the most effective tools now live inside the platforms where they already spend money. Independent vendors face an uphill battle to justify their value.
Practical rule: The naive read is that generative AI removes the creative bottleneck. The better read is that it shifts the bottleneck from production to integration. A marketer can now generate 50 variants in minutes but still cannot get them approved, tagged, and served in a coherent sequence because the media and creative teams do not share a workflow, a data set, or a unified performance metric.
The Forrester analysis identifies three trends that are beginning to push creative adtech into a more consequential phase of maturation.
Trend 1: Workflow unification. Vendors are moving from point solutions toward end-to-end platforms that connect brief development, asset generation, approval, dynamic insertion, and measurement in a single system. This reduces the friction that killed DCO.
Trend 2: Platform-native intelligence. The walled gardens are embedding creative optimization directly into their bidding and targeting engines. Advertisers who run campaigns inside Meta Ads or Google Ads now get real-time creative performance signals without leaving the platform. That convenience reduces the addressable market for third-party tools.
Trend 3: Cross-functional performance metrics. The old divide between “brand” metrics (reach, awareness) and “performance” metrics (clicks, conversions) is collapsing. Creative adtech vendors that can tie creative variants to downstream conversion data – and present that data in a single dashboard accessible to both creative and media teams – are gaining traction.
For investors evaluating the space, the key question is not whether generative AI can produce more ads. It already can. The question is whether a vendor can reduce the cycle time from creative brief to live campaign while preserving control over brand safety, consistency, and performance.
The walled gardens have a structural advantage because they control both the creative tools and the execution environment. Independent vendors will need to prove superior creative performance lift or workflow efficiency to justify their fees. The specialists that survive will likely be those that target a specific vertical, format, or geographic niche where the platforms are weak.
A confirming signal would be a major brand restructuring its creative and media operations into a single unit with a shared technology stack. That would validate the integration thesis and likely lift the vendors that offer cross-functional platforms. A weakening signal would be continued adoption of AI creative tools in isolation – with no corresponding shift in team structure or workflow – leading to the same DCO-style disappointment.
The next 12 to 18 months will separate vendors that simply increase creative velocity from those that increase creative effectiveness. The former is easy. The latter requires retooling the process, not just the tool. Advertisers and investors who recognise that distinction will avoid the same pitfalls that followed the DCO hype cycle.
Forrester’s upcoming Creative Advertising Technologies Wave in Q4 2026 will provide a formal evaluation of the providers that matter. Until then, the market remains a collection of promising pieces without a proven system. That creates opportunity for the companies that build the missing integration layer – and risk for those that do not.
Prepared with AlphaScala research tooling and grounded in primary market data: live prices, fundamentals, SEC filings, hedge-fund holdings, and insider activity. Each story is checked against AlphaScala publishing rules before release. Educational coverage, not personalized advice.