Enterprise software buyers are not moving faster in 2026 they are moving slower, and the gap is widening every year. A deal that closed in under five months in 2020 now routinely stretches past eight, and the deceleration shows no sign of reversing. This is not a temporary hangover from a soft economy. It is a structural shift in how large organizations evaluate, approve, and pay for technology, driven by larger buying committees, tighter financial gatekeeping, deeper security scrutiny, and a self-directed research process that keeps vendors out of the room until buyers are already 70-80 percent of the way to a decision.
The median enterprise software deal defined as purchases above $100,000 in annual contract value now takes roughly 11.5 months from first contact to signature, according to Gartner Peer Insights benchmarking data. Broader B2B sales-cycle tracking shows the same trajectory: cycles have lengthened by 20 to 30 percent since 2021 across mid-market and enterprise segments, with deals that once closed in four to six months now routinely running six to twelve months or longer. The chart below traces this creep year by year.

Figure 1: Median enterprise software deal cycle in months, 2020-2026. Sources: Gartner Peer Insights; Gong State of Revenue benchmarking.
The direction of travel matters more than any single data point. Every annual benchmark published since 2021 has moved the same way up. Even in a year where Gartner projects worldwide IT spending will climb to 6.37 trillion dollars, a 14.2 percent increase over 2025, the pace at which that money actually gets committed to a specific vendor has continued to slow. More budget is available; less of it is moving quickly.
The single largest structural driver is the growth of the buying committee itself. In 2015, CEB and Gartner research placed the average B2B buying group at roughly 5.4 stakeholders. By 2022, that figure had climbed past 11, and current Gartner Future of Sales research puts enterprise purchasing committees at an average of 13 internal stakeholders, with as many as 9 additional external influencers weighing in on deals above 1 million dollars in contract value. Forrester's B2B Buying Study independently corroborates the trend, reporting committees of 14 to 23 people for the largest deals.

Figure 2: Average number of internal stakeholders per enterprise software purchase, 2015-2026. Sources: Gartner Future of Sales; Forrester B2B Buying Study.
Every additional stakeholder added to a deal is another review cycle, another point of possible objection, and another calendar to align. Gartner's own research finds that 77 percent of B2B buyers now describe their most recent purchase as "very complex or difficult" to navigate a figure that has held steady even as committees have continued to expand, suggesting organizations have not yet found an operating model that scales decision-making without also scaling delay.
Financial scrutiny has hardened into a standing checkpoint rather than a final formality. Deloitte's Q4 2025 CFO Signals survey of finance chiefs at companies with at least 1 billion dollars in revenue found that technology transformation has become the top CFO priority heading into 2026, with 87 percent of surveyed CFOs saying artificial intelligence will be extremely or very important to their finance function this year. That prioritization has not translated into faster sign-off it has translated into more structured review, because CFOs are simultaneously being asked to justify a larger share of technology spend against measurable return.
Procurement organizations have absorbed a similar shift in mandate. Deloitte's 2025 Global Chief Procurement Officer Survey, which polled more than 250 CPOs across 40 countries, found that 92 percent of procurement leaders are now actively planning or assessing generative AI capabilities inside their own function, and 22 percent intend to invest more than 1 million dollars annually in the category by 2025. McKinsey's parallel research among more than 300 procurement leaders found that organizations deploying AI-driven analytics inside procurement can unlock roughly 20 percent in savings and accelerate steps like supplier selection by close to 30 percent but that automation is still being layered onto an approval chain that, in most organizations, has more gates than it did five years ago, not fewer.
Vendor security review has moved from a compliance afterthought to a core determinant of deal velocity. Analyst projections cited across procurement and security research indicate that by 2026, roughly 60 percent of organizations will treat third-party cybersecurity risk as a primary factor in whether a business transaction proceeds at all. The World Economic Forum's Global Cybersecurity Outlook similarly finds that 74 percent of highly resilient organizations formally assess supplier security maturity before signing, compared with only 48 percent of less-resilient organizations meaning the most sophisticated buyers, who also tend to control the largest budgets, are precisely the ones running the longest reviews.
Regulatory frameworks have reinforced this. In financial services, Article 28 of the EU's Digital Operational Resilience Act now legally requires due diligence on any ICT third-party provider before a contract can be signed, and the ISO 27001 control set formalizes supplier security requirements as a certification prerequisite. Ponemon Institute research adds a scale dimension: the average organization now tracks roughly 2,643 third-party vendor relationships, yet formally assesses only about 36 percent of them in any given cycle — a backlog that pushes new vendor reviews further down the queue.
Self-directed research has quietly become the dominant phase of the buying journey. Gartner's B2B buying research finds that buyers now spend only about 17 percent of total purchase time actually meeting with suppliers, meaning roughly 80 percent of the journey unfolds before a vendor's sales team is meaningfully involved. Independent research from Forrester, cited in Adobe's B2B research, puts the comparable figure at 67 percent of the journey completed before a buyer ever contacts a salesperson. Both numbers describe the same underlying shift: procurement-grade research, reference-checking, and internal debate now happen largely out of vendor view, extending elapsed time even when the total number of vendor-facing touchpoints stays flat.
This dynamic compounds the committee-size problem rather than offsetting it. A 13-person buying group conducting independent research asynchronously, on its own schedule, takes measurably longer to reach internal consensus than a smaller group working directly with a vendor's sales team — and it is precisely this asynchronous, self-paced research phase that has grown fastest since 2022.
Cycle length is not uniform across enterprise technology categories. The table below summarizes typical ranges reported across current B2B benchmarking research, alongside the primary friction point in each segment.
| Deal Segment | Typical Cycle | Primary Friction Point |
| Regulated / Fintech Enterprise | 9-18 months | Compliance sign-off, DORA-style third-party due diligence |
| Cybersecurity Platforms | 7-14 months | Security architecture review, penetration testing evidence |
| General Enterprise SaaS ($100K+ ACV) | 6-12 months | Multi-stakeholder consensus, budget re-justification |
| Mid-Market Software | 60-120 days |
Single-department approval, lighter procurement gate
|
| SMB / Self-Serve Software | 30-60 days | Minimal committee, card-based purchase |
For vendors, the practical implication is that pipeline forecasting built on 2021-era cycle assumptions is now structurally unreliable. Clari Labs' 2026 forecasting research found that 87 percent of enterprises missed their sales forecasts in 2025, a gap closely tied to underestimating how long deals with expanded buying committees actually take to close. Revenue teams that multi-thread early, that build procurement-ready documentation before it is requested, and that treat the security questionnaire as a first-week deliverable rather than a late-stage bottleneck are the ones narrowing the gap — not by rushing the buyer, but by removing the waiting time that sits between committee members rather than between the vendor and the buyer.
For buying organizations, the lengthening cycle is, in part, a rational response to genuinely higher stakes: larger software budgets, tighter AI-era security exposure, and more line-of-business dependencies on a given platform. The 2026 data does not point to a market that will snap back to 2020 speeds. It points to a permanently more deliberate buying motion one every enterprise technology stakeholder now has to plan around rather than wait out.