Adobe cites data fragmentation as primary blocker for agentic AI adoption

The transition to agentic AI requires a shift from passive data storage to active, real-time orchestration. For the streaming industry, where sub-second latency is becoming the baseline for sports and interactive commerce, the reliance on traditional analytical warehouses is no longer tenable. If AI agents lack a unified, high-velocity data foundation, they risk executing inaccurate or delayed personalization, undermining the efficiency they are meant to provide. Moving forward, the industry must track whether the 'agentic CDP' model effectively handles the increasing volume of unstructured data—such as support transcripts and intent signals—which Adobe suggests will define the next generation of unified customer profiles.

The push toward agentic marketing is gaining significant momentum across the enterprise landscape. Per Forbes and Grand View Research, February 2026, the global AI agents market is projected to reach $182.97 billion by 2033, driven by a 49.6% compound annual growth rate. This surge is reflected in CMO sentiment; according to a June 2026 report by CDP.com, approximately 70% of marketing leaders now view agentic AI as a transformative operating system for their departments, moving beyond simple chatbots to autonomous systems that coordinate multi-step customer journeys.

Adobe has consistently expanded its infrastructure to support this shift. In June 2024, the company launched its Experience Platform AI Assistant, which reached general availability for operational insights in February 2025. Per Adobe's own performance metrics from early 2025, users reported saving up to 12 hours of manual labor per task by using generative AI to manage and audit audience inventories. These tools allow marketers to use natural language prompts to perform complex data lineage checks and manage thousands of audience segments without manual API calls.

At Cannes Lions 2026, Adobe further solidified this strategy by positioning itself as an 'agentic infrastructure layer.' Per Reuters, June 2026, the company announced deep co-innovations with major agency networks including WPP, Omnicom, and Accenture. These partnerships focus on building co-created AI orchestration frameworks that connect paid media spend with owned customer data. For example, WPP's new connected intelligence layer unifies these disparate data sources into a feedback loop designed to improve marketing investment returns autonomously, directly addressing the data silo concerns raised by Ryan Fleisch.