Revenue platforms compete to own the context

Forrester has published The Forrester Wave: Revenue Orchestration Platforms For B2B, Q3 2026, evaluating 12 providers through customer reference interviews, product demonstrations and analysis of how the platforms are changing with AI. Its accompanying post draws out three findings that recurred across the evaluations, and they concern less the adoption of AI than where value is concentrating.

The first is that revenue context, a persistent understanding of customers and opportunities built from signals, activities and outcomes, has become a contested asset. Buyers increasingly treat it as something to be shared across systems, users and agents, while many providers try to hold it inside their own platforms even as they adopt sharing standards such as MCP. Forrester's question is pointed: if five platforms each claim a complete view of the customer, is an organisation building shared context or competing versions of it?

The second is headless AI. Providers increasingly showed work being started through copilots, conversational interfaces, collaboration tools and agents rather than through the application's own screens. Yet very few reference customers described a headless strategy, which Forrester reads as buyers being further behind than vendors.

The third is that building agents is now table stakes, and the discussion has moved on to governance, oversight, interoperability and auditability. Forrester doubts that many providers can replicate the full agent-development and AgentOps stacks of Salesforce, Microsoft or Oracle. Its view is that revenue platforms need enough native capability to keep their agents safe and manageable, and should differentiate on revenue-specific context, orchestration, controls and outcome measurement, since they understand the business meaning of an agent's behaviour better than a horizontal platform, at least for now.

A buyer's guide for the category was published alongside the Wave.