Content Marketing Statistics 2026
By Axis Intelligence Research
Co-author: Elena Rodriguez | Last updated: September 24, 2026 | License: CC BY 4.0
87% of B2B marketers using AI for content say productivity improved, but only 39% say content performance improved, per the Content Marketing Institute’s 2026 benchmark. Netting out the marketers who report declines, Axis Intelligence Research measures a 50-point Content Velocity-to-Value Gap (CVVG) — the distance between how much faster content teams ship and how much better that content performs.
Quick Answer
Content marketing in 2026 is faster, cheaper per asset and no more effective. Axis Intelligence Research calculates a CVVG of 50 points: AI lifted net productivity by 84 points but net content performance by only 34. Meanwhile, B2B marketers rank AI tools as a budget priority 5.0 times more often than people, and marketing budgets sit at 7.8% to 9.0% of revenue depending on the survey.
Key Findings
- Axis Intelligence Research finds a 50-point Content Velocity-to-Value Gap (CVVG): AI-assisted B2B content teams report net productivity gains of 84 points but net performance gains of only 34 (CMI, October 2025).
- Axis Intelligence Research finds B2B marketers prioritize AI tools over people by a ratio of 5.0 to 1: 45% plan to raise AI tool spend in 2026, against 9% for salaries, training and development (CMI, October 2025).
- Axis Intelligence Research estimates large enterprises spend about 1.19% of revenue on marketing AI, combining Gartner’s 15.3% AI budget share with its 7.8% marketing-to-revenue benchmark (Gartner, May 2026).
- Training now receives 3.8% of US marketing budgets, down from a 5.8% peak — a 34.5% decline calculated by Axis Intelligence Research from The CMO Survey (January 2026).
- 83.5% of marketers say they are expected to produce more content in 2026, while US marketing headcount grew just 2.5% in the prior year (HubSpot, April 2026; The CMO Survey, January 2026).
What Is the Content Velocity-to-Value Gap (CVVG)?
The Content Velocity-to-Value Gap (CVVG) is an Axis Intelligence Research metric that measures how far AI’s perceived speed benefits for content teams outrun its perceived performance benefits. It is expressed in net percentage points: the share of marketers reporting improvement minus the share reporting decline, for productivity, compared with the same net score for content performance.
The inputs come from one survey, answered by one population, in one sitting — which is exactly why the gap is meaningful. The Content Marketing Institute’s B2B Content and Marketing Trends: Insights for 2026 asked AI users how AI-assisted creation changed five outcomes. Axis Intelligence Research converted each outcome into a net score and ranked them into a ladder.
The CVVG ladder: where AI’s benefit drains away
| Outcome (AI-assisted content creation) | Improved | Decreased | Axis net score | Source |
|---|---|---|---|---|
| Productivity | 87% | 3% | 84 | CMI 2026 B2B report |
| Operational efficiency | 80% | 2% | 78 | CMI 2026 B2B report |
| Creative capabilities | 65% | 5% | 60 | CMI 2026 B2B report |
| Content quality | 58% | 12% | 46 | CMI 2026 B2B report |
| Content performance | 39% | 5% | 34 | CMI 2026 B2B report |
| CVVG (productivity − performance) | 50 | Axis Intelligence Research |
Read the ladder top to bottom and the pattern is monotonic. Every rung further from “we typed faster” and closer to “the buyer did something” loses net value. By the time you reach performance, only 40.5% of the net productivity score survives — Axis Intelligence Research’s value conversion ratio (34 ÷ 84).
The quality rung deserves its own line. Twelve percent of AI users say content quality declined, four times the 3% who say productivity declined. No other outcome carries a regression rate that high.
Elena Rodriguez, analyst comment: Put this in finance terms. If a vendor sold you a tool on “84 points of productivity” and the revenue-facing metric moved 34, the payback model you approved is wrong by more than half. The teams I’d worry about are the ones reporting AI ROI in hours saved. Hours saved is a cost line. Pipeline is the revenue line, and the CVVG says the two are not moving together.
How Many Marketers Use AI for Content in 2026?
Adoption is effectively universal; maturity is not. According to the CMI 2026 B2B report, 95% of B2B marketers say their organizations use AI-powered applications, and 89% use AI content-creation tools specifically. Yet 68% place their AI implementation in the exploratory or developing stage.
HubSpot’s 2026 State of Marketing survey of 1,500+ marketers puts overall AI use at 86.4%. Only 26.5% say AI has significantly increased productivity — a useful counterweight to the headline adoption figure.
AI in marketing activities, US companies
| Metric | 2024 | 2026 | Projected (3 yrs) | Source |
|---|---|---|---|---|
| AI/ML share of marketing activities | 13.1% | 24.2% | 55.9% | The CMO Survey 2026 |
| Generative AI share of marketing activities | — | 22.4% | — | The CMO Survey 2026 |
| Companies using AI for content creation | 49.2% (Fall 2023) | 73.9% | — | The CMO Survey 2026 |
| Companies using Generative Engine Optimization | — | 41.5% | — | The CMO Survey 2026 |
The CMO Survey, run by Duke’s Fuqua School of Business with Deloitte and the American Marketing Association, shows the AI share of marketing activities grew 84.7% in two years, by Axis Intelligence Research’s calculation. Content creation is the use case pulling hardest: up 24.7 points since Fall 2023.
The GEO figure matters most for content teams. Generative Engine Optimization — getting content cited in AI-generated answers — did not exist as a survey option in earlier waves. In 2026, 41.5% of US companies already use it.
Which AI tools do B2B content teams actually use?
Per CMI, 89% of B2B marketers use AI for written content, 41% use AI-driven SEO tools, and 28% are experimenting with AI agents. The distance between the first number and the last is the distance between drafting assistance and workflow automation — most teams are still on the drafting side.
How Much Do Companies Spend on Marketing in 2026?
The answer depends on which company population you ask, and the two leading benchmarks should not be averaged together.
Marketing budget as a share of revenue
| Benchmark | Marketing budget / revenue | Sample | Source |
|---|---|---|---|
| Gartner 2026 CMO Spend Survey | 7.8% (7.7% in 2025) | 401 CMOs, mostly $1B+ revenue, NA/UK/Europe | Gartner, May 2026 |
| The CMO Survey 2026 | 9.0% | 308 US marketing leaders, all sizes | The CMO Survey, Jan 2026 |
| B2B product companies | 7.0% | US | The CMO Survey 2026 |
| B2B services companies | 10.1% | US | The CMO Survey 2026 |
| B2C product companies | 12.0% | US | The CMO Survey 2026 |
| B2C services companies | 7.2% | US | The CMO Survey 2026 |
Axis Intelligence Research does not blend 7.8% and 9.0% into a single “average” — the methodologies sample different companies. Gartner’s panel is dominated by billion-dollar enterprises; The CMO Survey includes smaller US firms that typically spend a higher share of revenue. Quote whichever matches your company size.
The CMO Survey also shows marketing spending grew just 1.7% over the prior 12 months, the weakest rate since 2021, while digital marketing spend grew 8.2%. That is a 4.8× growth multiple for digital over total — budgets are not expanding so much as migrating.
What share of marketing budgets goes to AI?
According to Gartner’s 2026 CMO Spend Survey, CMOs allocate 15.3% of marketing budgets to AI initiatives. AI-ready organizations allocate 21.3% — and also spend more on marketing overall (8.9% of revenue versus 7.8%).
Axis Intelligence Research converts those shares into revenue terms:
- Average enterprise: 15.3% × 7.8% ≈ 1.19% of revenue spent on marketing AI (Axis estimate).
- AI-ready enterprise: 21.3% × 8.9% ≈ 1.90% of revenue (Axis estimate).
AI-ready organizations therefore run roughly 1.59 times the AI spend intensity of the average enterprise, measured against revenue. That’s the number to bring to a budget meeting, because it expresses AI ambition in the unit finance actually tracks.
Elena Rodriguez, analyst comment: Seventy percent of Gartner’s CMOs call AI leadership a critical 2026 goal; 30% report mature readiness; 56% say they lack the budget for their strategy. When ambition, readiness and budget point three different ways, the tool line gets funded first because it’s the easiest line to approve. That’s how you end up with a 50-point CVVG.
Where Are B2B Content Budgets Increasing in 2026?
The CMI survey asked B2B marketers to name their top three areas for increased 2026 investment.
| 2026 investment priority (B2B) | Share naming it top-3 | Source |
|---|---|---|
| AI-powered marketing tools | 45% | CMI 2026 B2B report |
| Events and experiential marketing | 33% | CMI 2026 B2B report |
| Owned media (content, website, blog, email) | 32% | CMI 2026 B2B report |
| Paid media | 25% | CMI 2026 B2B report |
| Research and insights | 15% | CMI 2026 B2B report |
| Human resources (salaries, training, development) | 9% | CMI 2026 B2B report |
The tools-to-talent ratio
Axis Intelligence Research divides the AI-tools priority (45%) by the human-resources priority (9%) to get a tools-to-talent ratio of 5.0. Human resources ranks last of every category CMI tested.
The CMO Survey reaches the same place from a different sample. Training and development now takes 3.8% of US marketing budgets, down from a pre-pandemic peak of 5.8% — a 34.5% decline, per Axis Intelligence Research’s calculation. Marketing headcount grew 2.5% in the latest year, down from 5.4% the year before.
Two independent surveys, two different populations, one direction: money is flowing to software faster than to the people who operate it.
Is original research worth funding?
Only 15% of B2B marketers put research and insights in their top three for increased investment. For a content team, that is a competitive opening rather than a consensus to follow — it means few rivals are building proprietary data assets, the one content type an AI model cannot generate around.
Are Content Teams Being Asked to Produce More?
Yes, sharply. HubSpot reports 83.5% of marketers are expected to produce more content, and 35.7% are expected to produce much more. Workloads rose for 73.1% of marketers — 25.7% significantly and 47.4% moderately, per Axis Intelligence Research’s sum of HubSpot’s figures.
Set that against The CMO Survey’s 2.5% headcount growth and the pressure is obvious. Axis Intelligence Research publishes the two figures side by side rather than as a ratio, because they come from different samples (global marketers vs. US marketing leaders) measuring different things. The direction is clear without forcing them into one number.
Elena Rodriguez, analyst comment: “Produce more with the same team” is the brief that manufactures a CVVG. Volume targets reward the top of the ladder — productivity — and ignore the bottom. If your content OKRs count assets shipped, you are measuring the rung where AI already wins.
Which Content Formats Deliver the Best ROI in 2026?
HubSpot asked marketers which media formats produced the biggest return this year.
| Content format | Share of marketers naming it top ROI | Source |
|---|---|---|
| Short-form video | 48.6% | HubSpot 2026 State of Marketing |
| Long-form video | 28.6% | HubSpot 2026 State of Marketing |
| Blog posts | 22.3% | HubSpot 2026 State of Marketing |
Short-form video leads long-form by 20 points. Blog posts still make the top five, which is worth noting in a year when many teams are questioning written content entirely.
In B2B thought leadership specifically, CMI reports 76% of marketers rate LinkedIn the most effective channel — though 37% say fewer than 5% of their subject-matter experts actually contribute. For platform-level engagement data, see our LinkedIn statistics and social media statistics reports.
Does SEO Content Still Drive Traffic With AI Overviews?
Less of it, and the traffic that arrives is later-stage. Pew Research Center’s analysis of 68,879 Google searches found users clicked an organic result on 8% of visits when an AI summary appeared, versus 15% without one — a 46.7% relative reduction, by Axis Intelligence Research’s calculation. Links inside the summary were clicked on 1% of visits.
Our Google AI Overviews statistics report owns the full click-through and trigger-rate dataset; the content-strategy implication is what matters here. HubSpot finds 40.6% of marketers now rank updating SEO for search changes among their top trends, and 37.7% plan to increase investment in AI chatbots such as ChatGPT, Perplexity, Gemini and Claude as a channel.
For content teams, the practical reading is simple: informational content now has to earn a citation, not just a ranking. That favors the formats at the bottom of the CVVG ladder — original data, clear definitions, named expertise — over volume. Our AI search statistics page tracks where that citation traffic is going.
How Do Marketers Measure Content Marketing ROI?
Badly, by their own account. Measuring ROI is the top challenge for 33% of marketers in HubSpot’s survey, and 73% say their budget faces more scrutiny than in the past. In CMI’s B2B sample, 33% name measuring content effectiveness a top-three challenge, and 40% struggle to create content that prompts a desired action.
The CMO Survey rates US companies 4.4 out of 7 on demonstrating ROI from marketing technology. Only 65% of HubSpot’s respondents say they have high-quality audience data.
Retention outperforms acquisition — budgets don’t follow
The CMO Survey shows customer retention grew 12.8% while customer acquisition grew 7.4% — retention outpacing acquisition by a factor of 1.73, per Axis Intelligence Research. Yet acquisition budgets are 26% larger than retention budgets.
For content marketers this is a direct allocation signal. Customer education, onboarding content, newsletters and community programs sit on the retention side of the ledger — the side currently producing the stronger result on the smaller budget. Our email marketing statistics report covers retention-channel benchmarks in depth.
Elena Rodriguez, analyst comment: A 4.4 out of 7 on proving ROI, in a year when three-quarters of budgets are under a microscope, is not a measurement problem. It’s a budget-survival problem. The fastest defensible fix is to report content against retention metrics, where the CMO Survey data says the return is already showing up.
Is B2B Content Strategy Getting More Effective?
Modestly. Among B2B marketers, 97% have a content strategy and 61% say its effectiveness improved over the past year, per CMI. The most-cited driver was strategy refinement (74%), ahead of new technology (51%).
Overall marketing effectiveness is middling: 12% rate themselves highly effective and 47% somewhat effective — 59% at least somewhat effective. That leaves four in ten stuck at neutral or worse.
| B2B content program metric | Value | Source |
|---|---|---|
| Have a content strategy | 97% | CMI 2026 B2B report |
| Strategy effectiveness improved | 61% | CMI 2026 B2B report |
| Create thought leadership | 96% | CMI 2026 B2B report |
| Collect first-party data | 91% | CMI 2026 B2B report |
| Allocate budget to experiential marketing | 78% | CMI 2026 B2B report |
| Personalization limited to basic tactics | 59% | CMI 2026 B2B report |
| ABM users (who measured) reporting it outperforms traditional campaigns | 65% | CMI 2026 B2B report |
The consistent finding: B2B teams do the thing — strategy, thought leadership, first-party data, personalization — at near-universal rates, and mature it at much lower ones.
Frequently Asked Questions
What is the Content Velocity-to-Value Gap?
The Content Velocity-to-Value Gap (CVVG) is an Axis Intelligence Research metric comparing AI’s net productivity benefit for content teams with its net content-performance benefit. Using CMI’s 2026 B2B data, net productivity scores 84 and net performance scores 34, producing a CVVG of 50 points.
Does AI-generated content perform better than human-written content?
Not on the evidence marketers report. Among B2B marketers using AI for content, 39% say content performance improved and 12% say content quality declined, per CMI’s 2026 benchmark. HubSpot finds 62.7% of marketers believe they need more unique, human-centered content to compete.
What percentage of the marketing budget should go to AI in 2026?
Gartner’s 2026 CMO Spend Survey reports an average of 15.3% of marketing budgets allocated to AI, rising to 21.3% among AI-ready organizations. Axis Intelligence Research estimates this equals roughly 1.19% of revenue for the average large enterprise.
What percentage of revenue do B2B companies spend on marketing?
The CMO Survey 2026 reports 7.0% of revenue for B2B product companies and 10.1% for B2B services companies. Across all US respondents the figure is 9.0%; Gartner’s enterprise-heavy sample reports 7.8%.
Which content format has the highest ROI in 2026?
Short-form video, named a top-ROI format by 48.6% of marketers in HubSpot’s 2026 State of Marketing. Long-form video follows at 28.6% and blog posts at 22.3%.
Why are content marketers burning out in 2026?
Output expectations are rising faster than teams. HubSpot reports 83.5% of marketers are expected to produce more content and 73.1% saw workloads rise, while The CMO Survey shows US marketing headcount grew only 2.5% and training budgets fell to 3.8% of spend.
Is it still worth investing in SEO content when AI Overviews reduce clicks?
Yes, but for citations and later-stage visits rather than raw volume. Pew found organic clicks fall from 15% to 8% of visits when an AI summary appears, while 41.5% of US companies already practice Generative Engine Optimization, per The CMO Survey.
How many B2B marketers have a documented content strategy?
According to CMI’s 2026 B2B report, 97% of B2B marketers have a content strategy, and 61% of those say its effectiveness improved over the past year. Strategy refinement, cited by 74%, was the leading reason.
Methodology
Axis Intelligence Research assembled this report from five primary sources, each fetched and read on September 23, 2026: the Content Marketing Institute / MarketingProfs B2B Content and Marketing Trends: Insights for 2026 (1,015 B2B marketers, fielded June 24–August 14, 2025); The CMO Survey Highlights and Insights Report 2026 (308 US marketing leaders, fielded January 7–29, 2026); the Gartner 2026 CMO Spend Survey (401 marketing leaders, fielded January–March 2026); HubSpot’s 2026 State of Marketing (1,500+ marketers, updated April 10, 2026); and Pew Research Center’s analysis of 68,879 Google searches (March 2025). No figure in this report comes from a secondary compilation.
Content Velocity-to-Value Gap (CVVG). For each of five outcomes CMI measured among AI users, Axis Intelligence Research computes a net score: percentage reporting improvement minus percentage reporting decline. CVVG = net productivity score − net content performance score = (87 − 3) − (39 − 5) = 50. The value conversion ratio = 34 ÷ 84 = 40.5%. All inputs come from a single survey population, so no cross-methodology blending occurs. CVVG readings will be recalculated with each new CMI wave and published on this page with an as-of date.
Other Axis calculations. Tools-to-talent ratio = 45 ÷ 9 = 5.0 (CMI). AI marketing spend as share of revenue = AI share of marketing budget × marketing share of revenue: 15.3% × 7.8% = 1.19%; 21.3% × 8.9% = 1.90% (Gartner; both labeled estimates because they multiply two averages). Training decline = (5.8 − 3.8) ÷ 5.8 = 34.5% (The CMO Survey). Digital-to-total growth multiple = 8.2 ÷ 1.7 = 4.8. AI activity-share growth = (24.2 − 13.1) ÷ 13.1 = 84.7%. Retention-to-acquisition growth multiple = 12.8 ÷ 7.4 = 1.73. Relative click reduction = (15 − 8) ÷ 15 = 46.7% (Pew).
What we deliberately did not merge. Gartner’s 7.8% and The CMO Survey’s 9.0% marketing-to-revenue figures are shown separately because the samples differ in company size. HubSpot’s content-output expectations and The CMO Survey’s headcount growth are shown side by side, not as a ratio, for the same reason.
Data vintage. The CMI and Pew inputs predate this publication by more than six months [older data]; they are the most recent editions available. CMI typically publishes its next B2B wave in October, which is this page’s primary review trigger.
About This Dataset
- Contents: 117 rows, 13 columns — every figure in this article, with source organization, document, URL, as-of date, retrieval date, primary-source flag, and a method note for each of the 19 Axis-calculated rows.
- File:
content-marketing-statistics.csv - License: Creative Commons Attribution 4.0 International (CC BY 4.0). Free to reuse, republish and adapt with attribution to Axis Intelligence Research and a link to this page.
- Citation line: Axis Intelligence Research, Content Marketing Statistics 2026, 2026.
Cite This Report
APA: Axis Intelligence Research, & Rodriguez, E. (2026, September 24). Content marketing statistics 2026: AI, budgets, ROI and the velocity-to-value gap. Axis Intelligence. https://axis-intelligence.com/content-marketing-statistics/
MLA: Axis Intelligence Research, and Elena Rodriguez. “Content Marketing Statistics 2026: AI, Budgets, ROI and the Velocity-to-Value Gap.” Axis Intelligence, 24 Sept. 2026, axis-intelligence.com/content-marketing-statistics/.
Chicago: Axis Intelligence Research and Elena Rodriguez. “Content Marketing Statistics 2026: AI, Budgets, ROI and the Velocity-to-Value Gap.” Axis Intelligence, September 24, 2026. https://axis-intelligence.com/content-marketing-statistics/.