Forrester report identifies B2C CDP market shift toward AI-powered decisioning

The transition from data collection to utility means streaming platforms must integrate CDPs that do more than just store viewer information. For B2C operators, the immediate implication is a move toward real-time triggers and automated journey orchestration to reduce churn. Within the broader ecosystem, this shift forces a choice between broad enterprise suites and specialized composable architectures that prioritize data quality. As AI utilization expands, the ability of a platform to manage a data context layer will become the primary differentiator for personalization. Watch for how these 10 vendors update their AI agent support to handle increasingly complex multichannel workflows.

The B2C CDP market shift identified by Forrester reflects a broader consolidation and repositioning wave among the vendors it evaluates. In early 2026, Salesforce completed its integration of Data Cloud with Agentforce, embedding CDP capabilities directly into its agentic AI infrastructure so that customer profiles feed real-time agent decisions without a separate activation step. That move positions Salesforce as a warehouse-native option that collapses the distance between data storage and activation, a trend Forrester's report flags as central to the utility era. Meanwhile, Segment's parent company Twilio reported in its Q2 2026 earnings that Segment revenue grew 18% year-over-year, driven by demand for composable CDP architectures that let streaming and media companies keep data in their own cloud warehouses while still triggering downstream campaigns.

On the business and licensing side, the CDP category is experiencing pricing pressure as buyers demand outcome-based models rather than per-seat or per-profile fees. Treasure Data announced in May 2026 a consumption-based pricing tier for its CDP platform, targeting media and entertainment customers who want to scale data volumes without renegotiating annual contracts. This aligns with Forrester's observation that investment decisions are now tied to measurable engagement outcomes rather than data infrastructure headcount. In the competitive landscape, Adobe Real-Time CDP added native support for Amazon Redshift and Google BigQuery in its March 2026 release, giving streaming operators the option to query unified profiles without moving data out of their existing analytics stack. These licensing and architecture shifts signal that the CDP market is bifurcating between all-in-one suites and modular, warehouse-first approaches.

From a technical standpoint, the emphasis on AI-powered decisioning is pushing CDP vendors to publish benchmark data around latency and model accuracy. mParticle released a technical white paper in June 2026 showing sub-100-millisecond profile resolution for streaming use cases, a figure that matters for ad-supported platforms needing to make content and ad decisions within a single session. The Forrester Wave's 10-vendor evaluation also coincides with growing interest in CDP interoperability with identity resolution layers; LiveRamp announced in April 2026 a partnership with mParticle to enable deterministic identity matching across CDP outputs, reducing reliance on probabilistic matching for cross-device attribution. For streaming platforms evaluating CDPs in this utility era, the combination of warehouse-native access, sub-second decisioning, and defines the technical bar that separates commodity data stores from genuine engagement engines.