AI in Marketing Statistics: 45 Verified Data Points on Adoption, Use Cases, and Productivity for 2026

This research asset compiles verified statistics on how marketers adopt and use artificial intelligence tools, drawn from primary survey programs run by HubSpot, Salesforce, McKinsey, and Gartner. It focuses on AI tool adoption inside marketing teams, including use cases, productivity gains, budget direction, generative-AI content usage, and concerns. It does not cover AI-search visibility or generative engine optimization, which is a separate topic.

A note on evidence: almost every figure below comes from a self-reported vendor or analyst survey. Adoption percentages reflect what marketers say in opt-in or panel surveys, not audited tool logs, so they tend to skew high and vary with question wording and sample. Where credible sources disagree, the disagreement is stated rather than smoothed over.

Executive Summary

• 76 percent of marketing organizations reported using at least one form of AI (predictive, generative, or agentic) in Salesforce’s tenth-edition State of Marketing survey of 4,450 marketers across 26 countries, fielded October to November 2025. Source: Salesforce, State of Marketing, 10th Edition, 2026.
• 66 percent of marketers globally said they use AI in their roles, per HubSpot’s AI Trends for Marketers survey of more than 1,000 marketing and advertising professionals worldwide, updated June 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 71 percent of all surveyed organizations said they regularly use generative AI in at least one business function, with marketing and sales the most common function, in McKinsey’s State of AI survey published March 2025. Source: McKinsey, The State of AI, 2025.
• 27 percent of CMOs reported limited or no adoption of generative AI in their marketing campaigns, in Gartner’s survey of 418 marketing leaders fielded July to September 2024. Source: Gartner via Marketing Dive, 2025.
• 79 percent of marketers agreed AI helps reduce time spent on manual tasks, and the average user reported saving roughly one to two hours per workday, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 65 percent of marketers said they plan to increase investment in AI and automation in 2025, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 52 percent of marketers said they use generative AI to create text-based content, while only 4 percent said they use AI to write an entire piece of content, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 42 percent of marketers cited data privacy concerns as the leading barrier to adopting new AI tools, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.

Key Findings

• 76 percent of marketing organizations used at least one form of AI in Salesforce’s tenth-edition survey of 4,450 marketers, fielded October to November 2025. Source: Salesforce, State of Marketing, 10th Edition, 2026.
• 63 percent of marketers who used AI said they were using generative AI, and 54 percent said they were using predictive AI, in Salesforce’s ninth-edition survey of 4,850 marketers across 27 to 29 countries, fielded February to March 2024. Source: Salesforce, State of Marketing, 9th Edition, 2024.
• 66 percent of marketers worldwide said they use AI in their roles, per HubSpot’s survey of more than 1,000 professionals, June 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 91 percent of marketing leaders said employees or teams at their organization use AI to assist them in their jobs, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 71 percent of organizations across all functions said they regularly use generative AI in at least one business function, with marketing and sales the most frequently cited function, per McKinsey, March 2025. Source: McKinsey, The State of AI, 2025.
• 65 percent of organizations said they regularly used generative AI in at least one function in McKinsey’s earlier survey of 1,363 respondents fielded February to March 2024, roughly double the prior year’s share. Source: McKinsey, The State of AI in Early 2024, 2024.
• Marketing and sales showed the largest year-over-year jump in reported generative-AI adoption of any business function, with reported adoption more than doubling, per McKinsey, early 2024. Source: McKinsey, The State of AI in Early 2024, 2024.
• 27 percent of CMOs reported limited or no generative-AI adoption in marketing campaigns, including 6 percent reporting no use at all, per Gartner’s survey of 418 marketing leaders fielded July to September 2024. Source: Gartner via Marketing Dive, 2025.
• 84 percent of high-performing marketing organizations used generative AI for creative development tasks, per Gartner, 2024. Source: Gartner via Marketing Dive, 2025.
• 79 percent of marketers agreed AI reduces time on manual tasks, and 73 percent said they spend more time on the important parts of their work as a result, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 52 percent of marketers used generative AI to create text content and 48 percent used AI art tools to create images, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• Only 4 percent of marketers said they use AI to generate an entire piece of content end to end, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 65 percent of marketers said they plan to increase AI and automation investment in 2025, while 82 percent said their company has invested in automation tools for employees, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 42 percent of marketers cited data privacy as the top barrier to new AI tools, 39 percent cited time and training investment, and 35 percent cited too many disconnected tools, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.
• 84 percent of marketers in Salesforce’s tenth-edition survey admitted to running generic campaigns, and 69 percent said they struggle to respond to customers promptly, fielded October to November 2025. Source: Salesforce, State of Marketing, 10th Edition, 2026.

Adoption Rates

Adoption is best read by source, because each program asks a different question of a different sample. Salesforce measures any AI use across predictive, generative, and agentic categories. HubSpot measures whether the individual marketer uses AI in their role. McKinsey measures organization-level regular use of generative AI across all business functions, not marketing specifically.

76 percent of marketing organizations reported using at least one form of AI in Salesforce’s tenth-edition survey, fielded October to November 2025. Source: Salesforce, 2026. 66 percent of individual marketers said they use AI in their role, per HubSpot, June 2025. Source: HubSpot, 2025. 91 percent of marketing leaders said their teams use AI to assist with work, a leader-perception figure that runs higher than the individual-use figure, per HubSpot, 2025. Source: HubSpot, 2025. The gap between the 91 percent leader figure and the 66 percent individual figure illustrates how much survey framing moves the headline number, so the two should not be compared as if equivalent.

Note on a minor discrepancy: Salesforce’s own press release headline cites 75 percent AI adoption while the underlying report figure reported by trade press is 76 percent. The one-point difference reflects rounding in the headline; both refer to the same tenth-edition dataset.

Use Cases

Content creation and personalization are the dominant marketing use cases across every source, with creative development the single most common application.

Content creation was the most cited marketing AI use case, named by 35 percent of marketers in HubSpot’s data, ahead of data analysis at 30 percent, per HubSpot, 2025. Source: HubSpot, 2025. 52 percent of marketers used generative AI for text content and 50 percent used it to write marketing copy, per HubSpot, 2025. Source: HubSpot, 2025. More than three-quarters of generative-AI adopters used it for creative development tasks, rising to 84 percent among high performers, per Gartner, 2024. Source: Gartner, 2024. The top Salesforce-reported use cases were content personalization, predicting campaign performance and ROI, and generating visuals and copy, per Salesforce, 2026. Source: Salesforce, 2026. Across all McKinsey functions, the only two generative-AI use cases reported by 15 percent or more of respondents were both within marketing and sales, underscoring where early adoption concentrated, per McKinsey, early 2024. Source: McKinsey, 2024.

Productivity Gains

Self-reported time savings are consistent in direction but should be treated as perceived gains, not measured output. They come from asking marketers how they feel AI affects their time, not from time-tracking instrumentation.

79 percent of marketers agreed AI helps reduce time spent on manual tasks, per HubSpot, 2025. Source: HubSpot, 2025. The average AI user reported saving roughly one to two hours per workday, per HubSpot, 2025. Source: HubSpot, 2025. 73 percent of marketers said they spend more time on important aspects of their work because of AI, and 66 percent said they have more time for creative work, per HubSpot, 2025. Source: HubSpot, 2025. These figures describe self-perceived reallocation of time rather than verified productivity or revenue, and the survey is opt-in, so users with positive experiences may be overrepresented.

Budget and Investment

Investment intent runs ahead of realized return, a recurring theme across analyst data.

65 percent of marketers said they plan to increase AI and automation investment in 2025, per HubSpot, 2025. Source: HubSpot, 2025. 82 percent said their company has invested in automation tools, and 66 percent said their organization builds internal AI tools for marketing, per HubSpot, 2025. Source: HubSpot, 2025. 75 percent of marketers whose organizations invested in AI reported positive return on that investment, per HubSpot, 2025. Source: HubSpot, 2025. At the same time, many CMOs reported that generative-AI investments had not yet paid off despite the hype, per Gartner, 2024. Source: Gartner, 2024. The global AI-in-marketing software market was estimated at 20.44 billion US dollars in 2024 and projected to reach 82.23 billion US dollars by 2030 at a 25.0 percent compound annual growth rate, per Grand View Research, 2024. Source: Grand View Research, 2024.

Generative-AI Content Usage

Marketers use generative AI heavily for drafting and assistance but rarely hand it a full piece of content unsupervised.

52 percent of marketers used generative AI for text content, 53 percent used it for quality assurance such as spellcheck and accessibility, and 48 percent used AI art tools for images, per HubSpot, 2025. Source: HubSpot, 2025. Only 4 percent of marketers used AI to write an entire content piece, indicating human review remains standard, per HubSpot, 2025. Source: HubSpot, 2025. Image and design generators were the most popular AI tool category at 40 percent, narrowly ahead of chatbots at 39 percent, per HubSpot, 2025. Source: HubSpot, 2025. This pattern, broad assistance with narrow full automation, is the most defensible way to characterize current generative-AI content usage.

Concerns and Limitations

Data quality, privacy, and tool sprawl are the most consistently cited obstacles, and they sit above any single technology limitation.

42 percent of marketers named data privacy as the top barrier to adopting new AI tools, per HubSpot, 2025. Source: HubSpot, 2025. 35 percent said too many similar, disconnected AI tools complicate adoption, per HubSpot, 2025. Source: HubSpot, 2025. 65 percent of marketers championed AI as an assistive tool while warning against over-reliance, per HubSpot, 2025. Source: HubSpot, 2025. In Salesforce’s tenth-edition data, 84 percent of marketers admitted to running generic campaigns and 69 percent struggled to respond to customers promptly, with siloed systems and poor data quality cited as the top barriers, per Salesforce, 2026. Source: Salesforce, 2026. 27 percent of CMOs reported limited or no generative-AI adoption in campaigns, per Gartner, 2024. Source: Gartner, 2024.

The Adoption-to-Value Gap

Across analyst data, the share of organizations using AI far exceeds the share capturing measurable financial value. 88 percent of organizations reported using AI in at least one business function in McKinsey’s 2025 survey, but only about one-third reported scaling AI across the organization, per McKinsey, 2025. Source: McKinsey, 2025. 47 percent of generative-AI adopters reported a large benefit specifically for campaign evaluation and reporting, while more than a quarter saw little to no benefit for cost reduction, customer service, and scalability, per Gartner, 2024. Source: Gartner, 2024. This gap is the most important context for any marketing AI adoption statistic: high usage does not yet equal high return for most teams.

Original Synthesis

The three derived insights below combine the verified figures above. Each crosses survey programs with different samples and definitions, so they are directional comparisons, not precise measurements.

1. The leader-to-individual perception gap. HubSpot reports 91 percent of marketing leaders say their teams use AI, against 66 percent of individual marketers who say they personally use it. The implied gap is 25 percentage points. Inputs: HubSpot AI Trends for Marketers, 2025. Logic: subtract the individual-use share from the leader-perception share within the same survey. Limitation: the two questions are not strict complements, and both are self-reported within one opt-in survey, so the gap signals optimism in leader reporting rather than a precise adoption shortfall.

2. Assistance-to-automation ratio in content. 52 percent of marketers use generative AI to assist with text content, but only 4 percent use it to produce an entire piece. That is a roughly 13-to-1 ratio of assisted use to full automation. Inputs: HubSpot, 2025. Logic: divide the assisted-content share by the full-automation share. Limitation: the two percentages come from different survey questions and the denominators may not be identical, so the ratio is illustrative of how rarely marketers fully automate content, not a fixed constant.

3. Generative-AI growth slope in marketing. Salesforce reported 63 percent generative-AI use among AI-using marketers in its ninth edition (early 2024) and 76 percent any-AI adoption among marketing organizations in its tenth edition (late 2025), while McKinsey shows organization-level generative-AI use rising from 65 percent in early 2024 to 71 percent in 2025. Inputs: Salesforce 9th and 10th editions; McKinsey 2024 and 2025. Logic: compare same-publisher figures across consecutive editions to read the direction of travel. Limitation: the Salesforce ninth and tenth editions define their bases differently (generative-AI users versus any-AI organizations), so the two Salesforce numbers cannot be subtracted; only the McKinsey 65-to-71 movement is a clean like-for-like comparison.

AI Adoption by Source

Sources for table: Salesforce State of Marketing 9th and 10th editions; HubSpot AI Trends for Marketers 2025; McKinsey The State of AI 2024 and 2025; Gartner via Marketing Dive 2025. Figures are not directly comparable because bases and definitions differ.

Generative-AI Content Use Cases (HubSpot, 2025)

Source for table: HubSpot, AI Trends for Marketers, 2025. Shares come from separate survey questions and do not sum to 100 percent.

Reported Barriers to AI Adoption (HubSpot, 2025)

Source for table: HubSpot, AI Trends for Marketers, 2025.

Charts to Build

Chart 1: Organization-level generative-AI use, 2023 to 2025. Data needed: McKinsey regular-gen-AI-use shares (about one-third in 2023, 65 percent early 2024, 71 percent in 2025). Source: McKinsey 2024 and 2025. Insight: the steepest jump was 2023 to 2024, with growth slowing into 2025. Citation-worthy because it shows adoption maturing from a spike to a plateau.

Chart 2: Leader perception versus individual use. Data needed: 91 percent leader-reported team use versus 66 percent individual use. Source: HubSpot 2025. Insight: a 25-point optimism gap. Citation-worthy as a caution against headline adoption numbers.

Chart 3: Assistance versus full automation in content. Data needed: 52 percent assisted text use versus 4 percent full automation. Source: HubSpot 2025. Insight: marketers rarely automate content end to end. Citation-worthy for debunking the full-automation narrative.

Chart 4: The adoption-to-value gap. Data needed: 88 percent any-AI use versus roughly one-third scaling across the organization. Source: McKinsey 2025. Insight: usage outpaces value capture. Citation-worthy as the central tension in enterprise AI.

Chart 5: Barriers to adoption. Data needed: data privacy 42 percent, time and training 39 percent, tool sprawl 35 percent. Source: HubSpot 2025. Insight: governance and integration outrank model capability as blockers.

Methodology

Sources were selected for being primary survey programs from recognized publishers (HubSpot, Salesforce), a global management-consulting survey (McKinsey), and an analyst firm (Gartner), supplemented by one market-sizing firm (Grand View Research) for budget context. Inclusion required a named publisher, a survey year or field period, and a figure traceable to the publisher’s own report or its official press release. Figures appearing only in unsourced aggregator listicles were excluded. Where sources disagreed, such as Salesforce’s 75 percent press headline versus the 76 percent report figure, both are noted rather than reconciled. No figure was averaged across incompatible bases; adoption figures from different publishers are presented side by side with their definitions, not blended. Derived insights in Original Synthesis are arithmetic on stated figures with limitations attached. All market-size estimates carry wide cross-firm variance and are presented as a single anchored estimate with that caveat. Last updated 30 June 2026.

Source Quality

Tier 1 (primary survey programs and global research bodies): McKinsey Global Survey on AI (The State of AI, 2024 and 2025), a large multi-industry survey with disclosed respondent counts and field dates.

Tier 2 (credible vendor and analyst surveys, and market-research firms): HubSpot AI Trends for Marketers 2025; Salesforce State of Marketing 9th and 10th editions; Gartner generative-AI-in-marketing survey; Grand View Research market sizing. These are reputable but vendor- or analyst-sponsored, with self-reported and in some cases opt-in samples.

Tier 3 (reputable journalism relaying primary data): Marketing Dive and Enterprise Times reporting that directly cites the underlying Gartner and Salesforce figures, used here only where the primary page was not directly retrievable.

Most Quotable Statistics

• 76 percent of marketing organizations now use at least one form of AI (Salesforce, 10th Edition, 2026).
• Only 4 percent of marketers use AI to write an entire piece of content (HubSpot, 2025).
• 91 percent of marketing leaders say their teams use AI, but just 66 percent of individual marketers say they do (HubSpot, 2025).
• 27 percent of CMOs report limited or no generative-AI adoption in campaigns (Gartner, 2024).
• 88 percent of organizations use AI somewhere, yet only about one-third have scaled it (McKinsey, 2025).

Data Limitations

Nearly every figure is self-reported and most come from opt-in or vendor-panel surveys, which tend to overstate adoption and enthusiasm. Definitions differ by publisher: Salesforce counts any AI type, HubSpot counts individual use, and McKinsey counts organization-level generative-AI use across all functions, so headline adoption figures are not interchangeable. Vendor sponsors (HubSpot, Salesforce) sell AI-enabled software, a potential framing bias. Productivity and time-saved figures reflect perception, not measured output. Market-size estimates vary widely across firms (2024 estimates ranged from about 19 to 31 billion US dollars), so any single figure should be read as one methodology’s view. Samples skew toward larger and English-language markets, limiting global generalizability.

Recommended Dataset Fields

For a downloadable CSV, recommended fields: statistic_id; metric_name; value; unit; publisher; report_title; edition_or_year; field_period; sample_size; geography; base_definition; use_case_or_category; source_url; tier; self_reported_flag; notes_on_limitation.

Press Summary

Marketer adoption of AI tools is now mainstream but uneven. In Salesforce’s tenth-edition survey of 4,450 marketers fielded in late 2025, 76 percent of marketing organizations reported using at least one form of AI, while HubSpot’s 2025 survey found 66 percent of individual marketers use AI in their roles. The dominant use cases are content creation and personalization: 52 percent of marketers use generative AI for text, yet only 4 percent let it write an entire piece, showing human review remains standard. Productivity gains are widely reported, with 79 percent of marketers saying AI cuts manual-task time, though these are self-reported perceptions. The persistent story is the gap between usage and value: McKinsey found 88 percent of organizations use AI but only about a third have scaled it, and Gartner found 27 percent of CMOs report limited or no generative-AI adoption in campaigns. Almost all figures come from self-reported surveys and should be read with that caveat. For a deeper view of how these benchmarks apply to a specific marketing function, see CO Consulting.

Suggested Headlines

• 76 Percent of Marketing Teams Now Use AI, but Only 4 Percent Let It Write Content Alone
• The Marketing AI Adoption Gap: 91 Percent of Leaders Say Yes, 66 Percent of Marketers Agree
• Marketers Adopted AI Fast. Capturing Value Is the Harder Part
• What Four Major Surveys Say About AI in Marketing in 2026
• Data Privacy, Not Capability, Is the Top Barrier to Marketing AI

FAQ

What share of marketers use AI? 66 percent of individual marketers said they use AI in their roles, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.

What share of marketing organizations use AI? 76 percent reported using at least one form of AI, per Salesforce’s tenth-edition survey fielded late 2025. Source: Salesforce, State of Marketing, 10th Edition, 2026.

How many marketers use generative AI specifically? 63 percent of AI-using marketers said they use generative AI, per Salesforce’s ninth-edition survey, early 2024. Source: Salesforce, State of Marketing, 9th Edition, 2024.

What is the most common marketing AI use case? Creative and content development is most common; more than three-quarters of generative-AI adopters use it for creative development, per Gartner, 2024. Source: Gartner via Marketing Dive, 2025.

How much time does AI save marketers? The average AI user reported saving roughly one to two hours per workday, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.

Are marketers fully automating content with AI? Rarely; only 4 percent of marketers said they use AI to write an entire content piece, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.

Are marketers increasing AI budgets? 65 percent said they plan to increase AI and automation investment in 2025, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.

What is the biggest barrier to marketing AI adoption? Data privacy, cited by 42 percent of marketers, per HubSpot, 2025. Source: HubSpot, AI Trends for Marketers, 2025.

Is AI adoption translating into business value? Not for most; McKinsey found 88 percent of organizations use AI but only about a third have scaled it, 2025. Source: McKinsey, The State of AI, 2025.

How large is the AI-in-marketing software market? It was estimated at 20.44 billion US dollars in 2024, projected to reach 82.23 billion by 2030 at a 25.0 percent CAGR, per Grand View Research, 2024. Source: Grand View Research, 2024.

This asset is maintained as neutral research by CO Consulting. If you want help translating these benchmarks into a marketing AI roadmap, you can book a consultation.

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