Data · Updated June 2026
AI & Agentic AI Statistics
for 2026
28 hand-checked statistics on AI adoption, the agentic shift, sales and marketing, tool sprawl, and small business, every number cited to its primary source.
28 stats · 7 categories · all sourced
Regular AI use is now the norm; autonomous agents are the next wave.
88%
of organizations now use AI in at least one business function, up from 78% a year earlier.
McKinsey · 202562%
of organizations are already experimenting with AI agents, and 23% are scaling an agentic system in at least one function.
McKinsey · 202579%
of senior executives say AI agents are already being adopted in their company, though just 17% have deployed them broadly.
PwC · 202533%
Forecastof enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024.
Gartner · 202515%
Forecastof day-to-day work decisions will be made autonomously by agentic AI by 2028, up from 0% in 2024.
Gartner · 202525% → 50%
Forecastof companies using generative AI will run agentic-AI pilots in 2025, rising to 50% by 2027.
Deloitte · 202540%
Forecastof agentic-AI projects will be scrapped by the end of 2027, usually from unclear business value, not the technology itself.
Gartner · 2025Spending is compounding across both generative AI and autonomous agents.
$632B
Forecastin worldwide AI spending forecast for 2028, more than double 2024, a 29% CAGR.
IDC · 2024$202B
Forecastin generative-AI spending by 2028, about 32% of all AI spend, growing at a 59% CAGR.
IDC · 2024$50.3B
Forecastprojected size of the AI-agents market by 2030, growing roughly 46% a year.
Grand View Research · 2025$2.6–4.4T
Forecastin value generative AI could add to the global economy each year, across 63 analyzed use cases.
McKinsey · 2023The value is real for the teams that operationalize it, and thin for those that don't.
66%
of companies adopting AI agents say the agents already deliver measurable value through higher productivity.
PwC · 20252×
the revenue growth (and 40% greater cost savings) that AI leaders achieve vs laggards, while 60% of companies still capture little value from AI.
BCG · 202560–70%
Forecastof the time employees spend at work is on activities current generative AI has the potential to automate.
McKinsey · 202375%
of global knowledge workers already use AI at work, a share that nearly doubled in six months.
Microsoft / LinkedIn · 2024Reps lose most of their day to admin; AI is closing that gap.
87%
of sales organizations now use AI for tasks like prospecting, forecasting, lead scoring, or drafting outreach.
Salesforce State of Sales · 2026~30%
of a sales rep's time is actually spent selling, the rest goes to admin, data entry, and research.
Salesforce State of Sales · 20231.3×
more likely to see revenue increase: sales teams that use AI vs those that don't.
Salesforce · 202421×
more likely to qualify a lead when reps respond within 5 minutes versus 30, the canonical case for fast, automated follow-up.
MIT lead-response study · 2007Content is where generative AI hit the mainstream first.
80%
of marketers now use AI to create content, including email and social copy.
HubSpot State of Marketing · 202671%
of marketers say AI lets them create significantly more content, and teams report saving 10+ hours a week.
HubSpot State of Marketing · 2026$0.8–1.2T
Forecastin annual productivity generative AI could add to the sales and marketing functions alone.
McKinsey · 2023More software hasn't meant more results, it's meant more waste.
112
SaaS apps run by the average company, down from a peak of 130, the first decline in over a decade.
BetterCloud · 2024$21M
the average organization wastes on unused SaaS licenses each year, up 14% year over year.
Zylo SaaS Management Index · 2025$4,830
average annual SaaS spend per employee, a 22% jump year over year.
Zylo SaaS Management Index · 2025Lean teams are adopting fastest, because they have the least slack.
98%
of US small businesses already use AI-enabled tools, and generative-AI use nearly doubled to 40% in a year.
US Chamber of Commerce · 202491%
of SMBs using AI say it boosts their revenue, and 83% of growing SMBs use AI, vs just 55% of those in decline.
Salesforce SMB Trends · 2024We track the price of 68 go-to-market tools. Nobody had added them up.
Every comparison page on this site records what the other tool costs. That is 68 entry prices sitting in one place, so here is what they say about the market, and what a real stack costs a real team.
$19
per seat, per month
Median entry price across the 25 tools priced by seat
$97
per month
Median entry price across the 30 priced flat
13
of 68
Start genuinely free, though one takes a share of revenue instead
What that costs a team of 10
$8,052a year
$671 a month for five tools at the medians above, split the way small teams actually buy: 2 priced per seat across 10 people and 3 priced flat. Change the split and the number moves, which is why both halves are shown.
The spread is the other finding. Entry prices run from $6 to $2,500 a month, and the mean of $218 sits well above the median of $39. That gap says this is not one market. It is a dense cluster of small-team tools with a long tail of enterprise contracts above it, and very little in between.
How this was measured
- Computed from the 68 go-to-market tools Wysera tracks on its comparison pages, not from a survey.
- Each figure is the lowest published paid tier for that tool. It is the price of getting in the door, not what a team ends up paying once seats and add-ons are counted.
- Per-seat and flat-rate tools are reported separately. A median that mixed them would compare a per-person fee with a whole-company one and mean nothing.
- A free tier means a genuinely free plan rather than a trial. 13 of the 68 have one, though one of those takes a share of revenue instead.
- Vendors change pricing. These describe the shape of the market at the time each comparison was written, not a live quote.
Free to reuse with attribution to Wysera and a link to this page. The underlying prices are on the comparison pages, one per tool, so any figure here can be checked.
What the data says for lean teams
More tools, more waste, the winners consolidate and automate.
The pattern is consistent: AI adoption is near-universal, but value concentrates in the teams that turn it into autonomous work instead of bolting another subscription onto the stack. Wysera folds marketing, sales, and ops into one agentic platform: one flat bundle instead of a dozen tools and a quarter of every rep's day lost to admin.
Cite this page
Free to reference with attribution. Please credit Wysera and link back to this page.
Sources & method
Every statistic links to its primary source (McKinsey, Gartner, IDC, PwC, BCG, Salesforce, HubSpot, Zylo, BetterCloud, Microsoft/LinkedIn, the US Chamber of Commerce, and others). Figures marked forecast are projections; all others are measured/survey data. We review this page as new reports are published, last updated June 2026.