Sales cycle length: B2B benchmarks by deal type, size and industry

This page is for sales leaders building a forecast, RevOps teams setting stage rules, and founders planning cash flow around how long deals take. Every figure comes from the original report or dataset, opened in October 2026, with its sample and, where the source gives it, where the clock starts and stops. Most of the data is vendor research from CRM and revenue platforms, because they're the ones holding millions of opportunity records. Each source is labelled.

What sales cycle length measures

Sales cycle length is the time a deal takes from a defined start to a defined close. The trouble is that sources pick different starts:

The most useful definition for a sales team is opportunity created to closed-won, in days. It's recorded in every CRM, it measures the part of the journey your sellers control, and it's what most opportunity-level benchmarks approximate. Measure lost deals too, separately.

Sales cycle length benchmarks

Read the first five rows as the seller's view of an active deal: two to three months is typical, and expansion closes faster than new business. The 6sense figure is much longer because buyers count the months of research before they ever speak to a seller, and its sample is weighted toward six-figure purchases.

Sales cycle length by deal size

Bigger deals take longer, and Ebsta's 2023 report put numbers on it. Analyzing 3.2 million opportunities from 364 companies in 2022, it found a "golden period" in which deals were most likely to close:

Ebsta doesn't publish the dollar bands behind "small", "medium" and "large", so set your own bands and measure each one. The same report found that 68% of opportunities had a close date set earlier than the golden period, which is one reason forecasts slip.

Average sales cycle length by industry

No large, current, original study we could find publishes sales cycle length across many industries. The "by industry" tables that rank on Google mostly come without a sample or method, so we haven't reproduced them. Here's the original industry data that does exist:

Dreamdata's 2022 data also showed journeys of 147 days for companies under 50 employees, 135 days for 51 to 250, and 242 days for more than 250, and 117 days for US companies against 199 for European ones. Dreamdata cautions that the regional gap may reflect which kinds of businesses use its platform in each region. These figures run from the first marketing touch, so they're longer than opportunity-to-close benchmarks.

Industry figures also move fast. Ebsta's 2021 report found the cycle for won manufacturing deals grew from 11 days to 59 in a year as factories closed during the pandemic. If your industry matters to your forecast, build the benchmark from your own deals: tag each closed deal with the buyer's industry and compare medians once each group has a few dozen closed deals.

Why B2B sales cycles are long

• More people decide. Forrester's State of Business Buying 2024 found that, on average, 13 people within an organization are involved in a buying decision, and 89% of purchases involve two or more departments. Its 2026 update, from a survey of nearly 18,000 buyers, counted 13 internal stakeholders and nine external participants. Ebsta's 2025 report found 8 stakeholders engaged on new business opportunities against 5 on expansion.
• Purchases stall. Forrester found 86% of B2B purchases stall during the buying process.
• Buyers arrive late, with a shortlist. 6sense found buyers first contact sellers 61% of the way through their journey, and the eventual winner was on the day-one shortlist 95% of the time.
• New technology adds review steps. Vendr linked the longer SaaS buying cycles of 2024 to AI purchases needing deeper evaluation, integration and data security review.

The common thread is the number of people and checks between interest and signature. A deal that only one person cares about tends to stall when that person gets busy.

Is the sales cycle getting longer or shorter?

The sources don't agree, because their samples differ:

• Ebsta found cycles lengthened 32% in 2022, then reported a 9% shorter cycle in its 2025 report.
• Gong found the average flat: 69.3 days in 2023 and 68.7 in 2024.
• Buyers in 6sense's survey reported a shorter cycle in 2025 (10.1 months) than in 2024 (11.3).
• Vendr found new SaaS purchases took 50% longer in Q2 2024 than a year earlier.

Each vendor's sample changes from year to year, so a single year's change says more about who was in the sample than about the market. Track your own trend instead, quarter by quarter, with fixed definitions.

Old deals rarely close

Ebsta's data shows why the age of a deal matters as much as its stage:

• In its 2021 report, lost deals took 169 days on average, against 97 days for won deals. Deals that are going to be lost tend to linger.
• In its 2023 report, opportunities open longer than twice the length of an average sales cycle "had just a 3% chance of closing."

A practical rule: flag any open opportunity older than twice your median won cycle, and either requalify it with a dated next step or close it as lost. Your forecast will be more honest, and your sellers will spend time on deals that can still close.

How to measure your own sales cycle length

Your own number beats any benchmark, because it reflects your product, price and buyers. Use these formulas:

Illustrative example. The company and numbers are invented to show the arithmetic.

Harborline Systems (harborline.example) closed 10 won deals in Q3. Their cycles, opportunity created to closed-won, were 34, 41, 47, 52, 58, 63, 71, 88, 120 and 196 days.

1. Average: the days add up to 770, so the average is 770 / 10 = 77.0 days.
2. Median: with ten values, it's the mean of the 5th and 6th: (58 + 63) / 2 = 60.5 days. The single 196-day deal pulls the average 16.5 days above the median.
3. Stale-deal rule: 2 x 60.5 = 121 days. Any open opportunity older than about 120 days gets requalified or closed.
4. Forecast timing: an opportunity created on 1 October would typically close around the end of November, about 60 days later. Plan pipeline creation at least one median cycle ahead of the quarter it needs to close in.
5. Compare segments: if Harborline's expansion deals close in 35 days and new business in 85, quoting one blended number to the board hides the fact that new business drives the forecast risk.

Cycle length is one of the four inputs to sales velocity, so a shorter cycle raises revenue per day even with the same win rate and deal size. For where it sits among other benchmarks, see the B2B sales statistics.

How teams shorten the cycle

These are practices, not measured results, except where a source is named:

• Engage more of the buying group early. Ebsta's 2025 report found involving decision makers increased the win rate by 50%. Map the group in the first meeting rather than the last.
• Start with accounts that have a reason to buy now. If 95% of purchases go to a vendor on the day-one shortlist, reaching an account before its research starts matters more than speeding up a deal that started late. Bebop flags what's happening at each account in a list, such as a new location or a leadership change, so you can time outreach to it.
• Agree a mutual plan with dates. Write down the steps to a decision, who owns each, and the date the buyer needs the result.
• Qualify out early. A deal that won't close is cheaper to lose at 20 days than at 169.

Widely quoted, but we couldn't trace the original

• "The average B2B sales cycle is 102 days." This appears to be two figures from Implisit's 2014 analysis added together: 84 days from lead to opportunity plus 18 days from opportunity to deal. Implisit never stated a 102-day cycle, and its "84 days" is often misquoted as a full sales cycle.
• Tables of sales cycle length for 15 to 20 industries. Several agency and vendor pages publish them without a sample, a method or a definition of the start and end. We couldn't verify any of them.
• "77% of B2B buyers say their purchase was very complex or difficult," credited to Gartner. Gartner's buying journey page said "more than three-quarters" in 2022, with no sample or survey date, and the passage has since been removed.

Next step: see how your cycle length, win rate and deal size combine in the sales velocity formula.