Recommended Free Tools
iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
Sales statistics for 2026 point to widespread AI use, buyers’ growing preference for self-service, and a persistent challenge: turning time saved into higher-value sales work. These figures are useful signals, not universal benchmarks. Each comes from a particular survey, respondent group, and question, so compare them with your own team’s results rather than treating them as targets every organization should meet.
Sales statistics for 2026 at a glance
| Finding | What the number measures | Source and sample |
|---|---|---|
| 94% | Sales leaders who said their teams use AI | HubSpot’s 2026 study of 1,000+ sales and revenue professionals across B2B and B2C; the figure is self-reported. HubSpot |
| 67% | B2B buyers who preferred a rep-free experience | Gartner survey of 646 buyers conducted August–September 2025; released March 2026. Gartner |
| 45% | B2B buyers who used AI during a recent purchase | The same Gartner survey of 646 buyers, August–September 2025. Gartner |
| 4.8 hours | Average seller time saved per week through AI | Gartner survey of 210 chief sales officers and senior sales leaders conducted January–February 2026. Gartner |
| 72% | Sales organizations reporting low reinvestment of AI time savings into high-value activities | The same Gartner survey of 210 CSOs and senior sales leaders, January–February 2026. Gartner |
| 2.6 times more likely | Organizations providing AI-enabled next-best actions were more likely to achieve commercial growth | Association reported in Gartner’s survey of 227 CSOs conducted August–September 2025; it does not establish that the practice caused growth. Gartner |
| 4,050 professionals | Stated respondent population for the seventh edition of State of Sales | Salesforce’s 2026 report. Salesforce |
These figures do not add up to a single “average sales team.” Buyers, sales leaders, and CSOs are different populations, and the studies measure different things. The available reports also do not establish a harmonized benchmark spanning industries, company sizes, sales models, and geographies.
How sales teams are using AI—and what adoption means
AI use is widespread in HubSpot’s survey
HubSpot’s 2026 report says 94% of surveyed sales leaders reported that their teams use AI. The study describes surveys and interviews with more than 1,000 sales and revenue professionals across B2B and B2C. The percentage reflects respondents in that study; it should not be read as a census of all sales teams or as a measure of how often or effectively they use AI. Read HubSpot’s State of Sales in 2026.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsTime saved is not the same as productivity gained
In Gartner’s survey of 210 CSOs and senior sales leaders in January and February 2026, AI saved sellers an average of 4.8 hours per week. Yet 72% of surveyed organizations reported low reinvestment of that time in high-value sales activities. The practical distinction is important: automation can create capacity, but managers still need to decide where that capacity goes and whether the work improves outcomes. Gartner published the findings on May 19, 2026.
#1 Best Overall
Gartner VP Analyst Dan Gottlieb put the point this way: “AI is not the hero of this story; AI is the accelerant.” That is an opinion about sales productivity, not a measured result.
Next-best-action findings show association, not a guarantee
Gartner reported that organizations providing AI-enabled next-best actions were 2.6 times more likely to achieve commercial growth. That finding came from a survey of 227 CSOs conducted in August and September 2025. “More likely” describes an association in the surveyed organizations; it does not prove that next-best-action systems caused growth or predict what a particular company will achieve. See Gartner’s release.
Rank #2
What B2B buyers say about sales representatives
Many surveyed buyers prefer a rep-free experience
In Gartner’s survey of 646 B2B buyers conducted in August and September 2025, 67% said they preferred a rep-free experience, while 45% said they had used AI during a recent purchase. Gartner reported the results in March 2026. The findings indicate interest in autonomous purchasing and AI among this sample; they do not mean that every buyer wants to avoid a representative in every situation. Read Gartner’s buyer survey release.
Free tools Windows power users keep installed
One-click scans. No signup required.
Self-service and human guidance can both matter
A separate Gartner release reported that buyers were more likely to say a sales representative than GenAI helped them advance the next purchase step, build confidence, understand needs, or quantify organizational benefits. This is not necessarily at odds with a preference for rep-free experiences: a buyer may want to research and complete routine steps independently, while valuing a person’s help with complex decisions or business context. The findings come from separate studies, so they should not be treated as a direct head-to-head comparison. Gartner’s May 2026 release.
Rank #3
Salesforce’s 2026 State of Sales report
Salesforce says the seventh edition of its State of Sales report draws on insights from 4,050 sales professionals. That respondent count establishes the scale Salesforce gives for the report, but it is not itself a sales-performance benchmark. To interpret any individual statistic in the report, check its definition, respondent group, and methodology rather than assuming the total sample applies equally to every finding. View the Salesforce report.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to choose a useful sales benchmark
A benchmark is useful only when it measures something comparable. Before using a published statistic to set a target or assess performance, check:
Rank #4
- Who answered: buyers, individual sellers, sales leaders, or CSOs are not interchangeable respondent groups.
- When the data was collected: publication year and survey field dates can differ, as in findings published in 2026 from surveys conducted in 2025.
- Who and where it represents: use only the geography, industry, company size, and sales model specified by the source; do not infer them from the publisher’s location.
- How the study was conducted: note sample size and whether the source describes a survey, interviews, or both. The reports do not provide consistent methodological detail for every statistic.
- What the metric means: “uses AI,” “prefers rep-free,” “time saved,” and “low reinvestment” are distinct measures, not competing estimates of one outcome.
- What kind of result it is: a share of respondents, an average number of hours, and an association with growth require different interpretations.
- Whether it fits your own baseline: compare like-for-like segments and definitions within your organization before making a target from an external figure.
For internal tracking, define the metric and comparison group first—for example, the share of a particular team using an approved AI workflow or the hours saved on a specified task—and monitor whether freed capacity reaches the intended work. A CRM or sales analytics tool may help track pipeline, quotas, and technology use, but purchasing software is not a prerequisite for applying these comparisons.
Quick Recap
Best Value
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
