Content marketing statistics are most useful when the population and question are visible. A percentage from a B2B marketer survey is not a percentage of all businesses, and a planned budget increase is not a proven return. The figures below come from two named research programs and are presented as survey responses, not universal benchmarks. Use them to frame a test against your own audience and costs.
Selected 2026 B2B findings
1,015 respondents
Content Marketing Institute and MarketingProfs surveyed 1,015 B2B marketers for their 2026 report, which was published in October 2025. The figures here describe those respondents.
97% had a content strategy
Among respondents, 97% said they had a content strategy. Of that group, 13% reported that its effectiveness improved significantly and 48% said it improved somewhat.
96% created thought leadership
The survey reported that 96% of B2B marketer respondents said their organization produced thought-leadership content. That is a prevalence measure, not a quality rating.
91% collected first-party data
Respondents reported wide collection of first-party data, while the report also described many strategies as exploratory or developing. Collection alone does not establish good governance.
Budgets, formats, and what they do not prove
When respondents selected their top three planned areas for increased 2026 investment, 45% included AI-powered marketing tools, 33% events or experiential marketing, and 32% owned media. These are intentions for investment, not the share of a budget spent or measured financial returns. A business with limited resources should compare the prospective use with a defined customer question before copying an industry ranking.
HubSpot's separate 2026 State of Marketing surveyed more than 1,500 marketers across B2B and B2C settings. Its report listed use of AI for personalized content (48.57%), automation (47.38%), and brand-values content (46.84%) among trends cited by respondents. The two samples and question wordings differ, so their percentages should not be combined into a single time series. A marketer who quotes either survey should identify its publisher, year, population, and what the response actually meant.
Turn a statistic into a decision
First ask whether the sample resembles your customers and whether the finding concerns use, preference, budget plans, or results. Then establish your own baseline: qualified visitors, helpful actions, repeat questions, content production cost, and the audience's understanding of the topic. Run a limited experiment and review its effect before scaling. A popular format may fail if it does not answer a real question in your market.
AMEC's framework separates what a team publishes from what people understand and do. That distinction is particularly useful when a headline statistic encourages content volume for its own sake. Recheck the linked research before citing a number in a proposal or release, and do not silently present a self-reported survey result as an audited industry outcome.