2026 report: B2B deals stall as buying committees grow to 13 stakeholders

Serge Bulaev

Serge Bulaev

In 2026, B2B deals are slowing down because buying committees have grown to 13 people, making decisions harder and slower. Most buying happens in big teams, with long research periods and lots of stalls before a final choice. AI is helping sales teams move faster and get better leads, with most teams now using AI for research and predictions. Partnering with other companies also speeds up deals, builds more trust, and increases deal size. More than half of enterprise revenue now comes from these partner-driven sales instead of direct selling.

2026 report: B2B deals stall as buying committees grow to 13 stakeholders

Our 2026 report shows why B2B deals stall as buying committees grow to 13 stakeholders, a critical challenge for revenue leaders. While budgets tighten, fresh data reveals the primary drivers of sales cycle slowdowns and how high-performing teams use AI and partner ecosystems to regain momentum.

Growing Committees, Stalling Consensus

B2B deals stall primarily due to internal complexity, not vendor selection. As buying committees expand to an average of 13 stakeholders across four or more departments, the number of potential veto points and internal conflicts multiplies, significantly delaying or derailing the decision-making process.

Enterprise purchases now involve an average 13-stakeholder committee, a statistic confirmed by Forrester, 6sense, and a recent Thunderbit analysis. With groups spanning four or more functions, 72% of deals entail high-complexity collaboration. The 2026 Consensus report highlights a prolonged, 11-month cycle where buyers spend 70% of their time researching anonymously. Consequently, 80% of the decision is made before a seller is engaged. This process is fraught with conflict: 86% of buying journeys stall, and 79% demand CFO approval contingent on a three-month ROI.

AI Transforms Sales from Preparation to Prediction

Sales teams leveraging AI are creating a significant performance gap. According to the Kondo report, 83% of AI-enabled teams achieved revenue growth, compared to just 66% of their peers - a 17-point advantage. AI demonstrably cuts call preparation time by 70% while increasing qualified leads by 50%. With 81% of sales teams holding active AI budgets and 71% using generative tools for key tasks, adoption is now mainstream. Looking ahead, Gartner projects that maturing AI systems will enable 75% of high-revenue deals to close via digital channels by 2028.

Partner Ecosystems: The Key to Trust and Speed

Partner ecosystems are critical for overcoming two of the biggest sales hurdles: trust and speed. ValuePros data reveals that partner and referral pipelines convert at approximately 26%, dwarfing the 2-9% conversion rate for cold outreach. When organizations align partnerships with their core go-to-market strategy, they can shorten sales cycles by up to 50% and secure larger deals. According to a 2026 PartnerStack survey, 94% of sales organizations engage in partner selling, with 40% providing partners access to internal AI for improved targeting. The impact is clear: ecosystem-driven revenue now exceeds direct sales in 67% of enterprises.

Key partner advantages:
- Faster cycles that shave weeks off internal approvals
- Larger deal values tied to multi-party validation
- Lower acquisition costs relative to paid demand channels


Why do 86% of B2B deals stall when committees hit 13 people?

Because every extra stakeholder adds another "veto point". In 2026 the average enterprise buying group now spans four functions (IT, Finance, Ops, End-user) and 79% of deals require CFO sign-off, yet 74% of teams report unhealthy conflict when options multiply. The result: internal complexity overtakes vendor selection as the #1 stall driver.

How can sellers escape the 80% "decision-before-contact" trap?

Only 5% of accounts are in-market at any moment, but 95% of winning vendors are on the first shortlist the buyers create themselves. Teams that feed AI-powered intent signals into partner ecosystems surface 50% more qualified leads and cut weeks off cycle time by entering the journey before the 70% anonymous-research phase ends.

Do partner-sourced deals really close faster and bigger?

Yes. Referral-style, partner-introduced opportunities convert at ~26% vs. 2-9% for cold outreach and arrive with built-in trust that shrinks stalls. Organizations aligning Sales, Marketing and Partners around one joint value map report up to 50% faster time-to-close and 30% larger median deal size than direct-only motions.

Where should revenue teams invest first to scale partner GTM?

Start with AI targeting tools: 40% of top-performing partners already access vendor AI dashboards that flag in-market accounts and auto-map stakeholder org-charts. Pair the tech with a certified partner playbook - only 28% of programs have one today - so channel reps repeat the same message the internal team leads with, preventing "partnership drift".

What is the 2026 AI adoption payoff for sales organizations?

Teams embedding AI in research, personalization and forecasting enjoy 13-17 pp higher revenue growth, 60-70% less call-prep time and 68% faster deal closure versus non-adopters. With the sales-focused AI market set to quadruple to $82B by 2030, laggards risk a widening gap that McKinsey values at $0.8-1.2T in lost productivity.