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Sales statistics to know in 2026
| Finding | What was measured | Source and sample |
|---|---|---|
| 94% | Sales leaders said their teams use AI. | HubSpot’s 2026 study of 1,000+ sales and revenue professionals across B2B and B2C; the finding is self-reported. |
| 67% | Surveyed B2B buyers said they preferred a rep-free experience. | Gartner survey of 646 buyers conducted August–September 2025; released March 2026. |
| 45% | Surveyed B2B buyers said they had used AI during a recent purchase. | Gartner survey of 646 buyers conducted August–September 2025; released March 2026. |
| 4.8 hours | Average seller time saved per week through AI, as reported by surveyed sales leaders. | Gartner survey of 210 CSOs and senior sales leaders conducted January–February 2026; released May 2026. |
| 72% | Surveyed sales organizations reported low reinvestment of AI time savings into high-value activities. | Gartner survey of 210 CSOs and senior sales leaders conducted January–February 2026; released May 2026. |
| 2.6 times | Organizations providing AI-enabled next-best actions were more likely to achieve commercial growth. | Association reported from a Gartner survey of 227 CSOs conducted August–September 2025; released May 2026. It does not establish that the practice caused growth. |
| 4,050 | Sales professionals represented in the seventh edition of State of Sales. | Salesforce, 2026. The cited report description gives the respondent count. |
These are not interchangeable measures: adoption and buyer preferences are percentages, time saved is an average, and the growth result is an association. The underlying studies also differ in respondent group, survey dates and methods. No harmonized dataset here establishes a single benchmark for all sales teams.
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What counts as a good sales benchmark?
A benchmark is useful only when the comparison is like-for-like. A buyer’s preference, a leader’s report about team adoption and an organization-level productivity measure describe different parts of the sales process. Even two percentages may answer different questions or come from different populations.
Before using an external figure to evaluate performance, check:
#1 Best Overall
- Who responded: buyers, sellers, sales leaders or chief sales officers.
- When the survey ran: distinguish the field period from the publication year. Gartner’s buyer findings, for example, were collected in 2025 and released in 2026.
- How many people were surveyed and how: note sample size and whether the source describes surveys, interviews or both.
- What the metric means: “uses AI,” “prefers rep-free,” “time saved” and “low reinvestment” are not the same outcome.
- Which market is covered: report geography or industry only when the source specifies it; do not infer it from the publisher.
For internal use, compare an external statistic with your own historical results and define the measure consistently. For example, specify whether “AI use” means any team member used an AI feature, or whether a defined share of sellers used it during a stated period. That makes a trend more actionable than treating a headline percentage as a target.
What the 2026 sales data says about AI
Reported adoption is high, but it is sample-specific
HubSpot reports that 94% of surveyed sales leaders said their teams use AI. The report page describes surveys and interviews with more than 1,000 sales and revenue professionals across B2B and B2C. This is evidence of broad reported use within that study—not proof that 94% of every sales team, seller or company uses AI in the same way.
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Saved time is not the same as productive selling time
In Gartner’s survey of 210 CSOs and senior sales leaders, respondents reported an average of 4.8 hours saved per seller per week through AI. Yet 72% of surveyed organizations reported low reinvestment of those savings into high-value sales activities. The practical implication is to measure what happens after automation: whether time moves to customer conversations, deal strategy or other work the organization has defined as valuable.
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Next-best actions correlate with commercial growth
Gartner reported that organizations providing AI-enabled next-best actions were 2.6 times more likely to achieve commercial growth, based on a survey of 227 CSOs conducted in August–September 2025. The result is an association, not a causal guarantee: it does not show that adding a recommendation feature alone will produce growth.
Do B2B buyers want to talk to sales representatives?
Gartner’s March 2026 release reported that 67% of surveyed B2B buyers preferred a rep-free experience, while 45% had used AI during a recent purchase. Both figures came from a survey of 646 buyers conducted in August–September 2025. They show interest in autonomous and AI-assisted buying among that sample, not a universal rejection of salespeople.
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A separate Gartner release reported that buyers were more likely to say a sales representative than generative AI helped them advance to the next purchase step, build confidence, understand needs or quantify organizational benefits. These findings are compatible: buyers may want to handle routine research independently while still valuing human help for context, judgment and decision support. The separate results should not be combined as if they came from one identical question or sample.
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How to use these statistics in a sales plan
- Choose the question first. Decide whether you are assessing buyer preferences, AI adoption, saved time, reinvestment or commercial outcomes. Select a statistic that measures that same thing.
- Record the source context. Keep the respondent group, sample size, field dates, publication date and stated geography with the number.
- Establish a comparable internal baseline. Define the metric, measurement period and population—for example, which sellers count as AI users and what counts as high-value work.
- Track outcomes as well as activity. If AI saves time, check how it is used afterward; if a tool suggests next-best actions, evaluate performance without assuming the reported association guarantees results.
- Revisit the comparison when the context changes. A different sales motion, buyer segment, team size or measurement definition can make a once-useful comparison misleading.
CRM or sales analytics software can help teams track pipeline, quotas and technology use, but buying a particular product is not a prerequisite for applying these comparisons. A clearly defined spreadsheet or existing reporting process can serve as a baseline.
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Sources and study context
- Salesforce, “Seventh Edition: State of Sales,” 2026 — report description states that it draws on 4,050 sales professionals.
- Gartner, “Gartner Sales Survey Finds 67% of B2B Buyers Prefer a Rep-Free Experience,” March 9, 2026 — reports buyer survey findings collected August–September 2025.
- Gartner, “Gartner Survey Finds AI Saves Sellers Nearly 5 Hours Per Week, Yet 72% of Sales Organizations Fail to Reinvest Time in High-Value Activities,” May 19, 2026 — reports the survey of 210 CSOs and senior sales leaders conducted January–February 2026.
- Gartner, “Gartner Survey Finds Sales Organizations That Provide AI-Enabled Next Best Actions Are 2.6x More Likely to Achieve Commercial Growth,” May 20, 2026 — reports the survey of 227 CSOs conducted August–September 2025.
- HubSpot, “The State of Sales in 2026” — report landing page describes surveys and interviews with 1,000+ sales and revenue professionals across B2B and B2C.
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