62 critical AI marketing statistics to know in 2027

We compiled 62 AI marketing statistics from Supermetrics’ own survey of 435 marketers, as well as the latest third-party research from reputable institutions such as Adobe, Salesforce, Canva, and many others.

The stats we found show that the overwhelming majority of marketing teams are using AI. Jasper’s State of AI in Marketing 2026 report found that 91% of marketing teams use AI, up from 63% in 2025.

Even though many are struggling to prove the direct ROI of AI, the decision to buy in is sound. The results that teams across the industry are seeing are compelling, to say the least, from reductions in overall spend to a noticeable lift in conversions.

It’s important to note that AI adoption is still in its earliest stages. Supermetrics research on the AI readiness gap finds that only 6% of marketers actually have AI fully embedded in their workflows. Most are still in their experimental stages. The upside here is that AI returns are already strong and will likely grow as teams fully embed it. The downside is that it points to difficulties getting there, such as a lack of access to clean data.

Below, we’ll go over the most recent statistics that cover everything you need to know about AI in marketing today.

Key AI marketing statistics

The top AI marketing statistics show that marketers are embracing AI, either by choice or under pressure; however, few have fully embedded it in their workflows, even though most use it daily. If you only take away a handful of numbers, make it these six:

1. Four in five marketers say they’re under pressure to adopt AI, yet only 6% have fully embedded it in their workflows. (Supermetrics, 2026)

2. AI use among marketing teams jumped from 63% in 2025 to 91% in 2026. (Jasper, 2026)

3. In 2026, nearly three in four marketers (73%) use AI daily, a marked increase from just 37% in 2024. (Social Media Examiner, 2026)

4. Two-thirds of marketing teams (67%) save 10 or more hours a week with AI. (HubSpot, 2026)

5. Consumers cited data protection (53%) and disclosure (52%) as the most impactful ways to build trust while using AI. (Canva, 2026)

6. Fewer than half of organizations (44%) consider their data quality and accessibility to be at the level needed to support general AI implementation. (Adobe, 2026)

AI is an emerging staple in marketing work, but how effective it is depends on the foundation it's built on. Anssi Rusi, CEO of Supermetrics, puts it plainly, saying, "AI can accelerate marketing performance, but only if the data behind it is strong."

Generative AI in marketing statistics

Generative AI is one of the most popular applications of AI in marketing today, often used in content creation (from text and images to audio and video).

The following stats show how generative AI tools (like Claude) are affecting marketing workflows:

7. Content creation is the most prevalent AI use case for both small businesses (52%) and enterprise (50%) marketing teams. (Supermetrics, 2026)

8. Other popular use cases for AI in marketing include reporting (37% for SMBs, 40% for enterprises) and market research (41% for SMBs). (Supermetrics, 2026)

9. Among organizations using generative AI, over three-quarters (76%) say it has improved content volume. (Adobe, 2026)

10. 70% of organizations say that generative AI has improved non-creative teams' ability to generate content. (Adobe, 2026)

11. Other commonly reported benefits from generative AI include improved productivity (69%), strengthened innovation (67%), and increased revenue growth (65%). (Adobe, 2026)

12. 67% of marketers use AI to create or enhance images, but far fewer apply it to video (37%) or audio (21%). (Social Media Examiner, 2026)

13. 84% of marketers use AI to create images; however, only 16% have built fully fledged workflows for producing AI-generated images. (Jasper, 2026)

14. Claude has been cited as the most important platform by marketers (42%), with a narrow lead over ChatGPT (39%). (Social Media Examiner, 2026)

AI adoption in marketing statistics

AI adoption in marketing is widespread, with most marketers using it consistently. However, AI in marketing is still in its infancy, with the largest share saying that they’re experimenting with it. If you’re struggling to get your footing like many marketers are, Supermetrics’ AI in marketing guide offers some ideas to get started.

The stats below provide a look at how far teams have come with AI adoption, and the biggest roadblocks holding them back:

15. The largest share of marketers (39%) say that their AI use is still in the experimentation stage. (Supermetrics, 2026)

16. Leadership teams are the biggest source of AI adoption pressure (61%), followed by investor boards (28%), direct managers (26%), and customers (20%). (Supermetrics, 2026)

17. Only 1% of marketers trust AI completely, while a still-low 17% have high trust in AI. (Supermetrics, 2026)

18. More than a third of marketers (37%) say they lack a clear AI strategy or vision from their leadership. (Supermetrics, 2026)

19. 35% of marketers say they lack adequate AI training. (Supermetrics, 2026)

20. Over four in five (84%) of marketers used AI more over the past year, and a similar amount (78%) expect their usage to climb over the next year. (Social Media Examiner, 2026)

21. Lack of education and training (62%), lack of understanding (52%), and lack of resources (41%) were the top three barriers to AI adoption reported in 2025. (Marketing AI Institute and SmarterX, 2025)

22. One of the top blockers to AI agent adoption is marketers' waiting for AI to mature. The second and third are a lack of expertise and a lack of technical capabilities to maintain them. (Salesforce, 2026)

23. AI depends on data access, and most marketers don’t have it. Less than 60% of marketers have full access to service, sales, and commerce data relevant to marketing efforts. (Salesforce, 2026)

24. Implementing AI in marketing requires marketers to own their data strategy. Yet, half of marketers need to wait one to three business days to get a question answered by their data team. (Supermetrics, 2026)

25. High-performing marketers use AI agents at almost twice the rate of underperformers, saving 8 hours per week. (Salesforce, 2026)

26. 89% of marketing leaders who use AI save at least 4 hours per week, while 1 in 4 save 8 hours per week. (Canva, 2026)

AI marketing automation statistics

While AI is a developing space and its effects are still being documented, marketers are betting on workflow automation to improve efficiency, and the stats below show it:

27. Efficiency is the main reason marketers adopt AI (70%), followed by the automation of repetitive tasks (61%). (Supermetrics, 2026)

28. Just over one in ten (11%) of marketers regularly use autonomous AI agents, but about a quarter (24%) are experimenting with them, and 44% plan to adopt them (here’s what AI agents can do for marketing teams today). (Social Media Examiner, 2026)

29. One of the most visible ways in which AI can support marketers is by speeding up data analysis. 56% of marketers can’t find enough time to analyze their data properly, and 32% review reports once a month or less. (Supermetrics, 2026)

30. 95% of marketing leaders agree that AI is changing the nature of creative work away from production and towards strategy. (Canva, 2026)

31. Building workflows and analyzing data are among the top skills marketers want to learn, with 75% and 71% citing them, respectively. (Social Media Examiner, 2026)

AI content marketing statistics

As AI gradually rolls out to marketing teams, expectations for the volume of content they produce are steadily growing. Most marketers say expectations are higher than ever, and while generative AI can help, it democratizes content creation to some extent. This means that building differentiated content only becomes more difficult as AI proliferates in content marketing.

The following AI marketing statistics show why content marketers are feeling the impact of AI more than almost any other channel:

32. Over 8 in 10 (83%) of marketers say AI has raised output expectations to a higher level than ever. (HubSpot, 2026)

33. Just over half (53%) of marketers say that it's difficult to build differentiated content since the market is so saturated. (HubSpot, 2026)

34. Almost two-thirds (63%) of marketers agree that standing out requires unique, human-centered content. (HubSpot, 2026)

35. Scaling content production and operations is one of the top areas where marketers plan to expand their use of AI over the next year, cited by 57% of respondents. (Jasper, 2026)

36. 49% of marketers say that AI answers (from recent search hotbeds like LLMs and AI Overviews) have led to a decrease in web traffic. (HubSpot, 2026)

37. 58% also say that referral traffic from AI has higher intent attached to it, potentially offsetting the drop in web traffic volume. (HubSpot, 2026)

38. Almost nine in 10 (88%) of marketing teams are optimizing content for AI search answers. (Salesforce, 2026)

39. One in three customers says that they’d lose interest and disengage from a piece of content if they find out it was generated by AI. (Adobe, 2026)

AI marketing ROI statistics

Leadership is all-in on AI, pressuring marketers to adopt it and capture all of the upside it can bring. However, actually measuring that upside is where marketers are running into trouble. According to Supermetrics’ 2026 Marketing Data Report, the majority of marketers can’t directly prove ROI. Instead, they can only point to activities that may or may not be directly related.

Third-party data, however, shows that those who can prove ROI achieve compelling, measurable results, from improved efficiency to stronger conversions.

The AI marketing statistics below add color to the picture, showing how difficult it is to prove ROI from AI and what the few who can have been seeing:

40. 61% have to prove ROI to justify their marketing spend, and 45% call proving ROI their single biggest challenge. (Supermetrics, 2026)

41. Agencies are twice as likely as brands to justify marketing spend with AI-driven forecasting (18% vs. 9%). (Supermetrics, 2026)

42. Two-thirds of respondents to Supermetrics' AI Readiness Poll (early findings) can’t prove the ROI of AI or can only report activity that isn’t directly tied to business results. (Supermetrics, 2026)

43. Jasper corroborates the above statistic, finding that only 41% of marketers can demonstrate ROI from AI, which is down 8 percentage points year over year. (Jasper, 2026)

44. Among marketers who can demonstrate ROI, six in ten report returns two times greater or more. (Jasper, 2026)

45. The most common metric for gauging ROI from AI is tracking the number of hours saved for employees, reportedly measured by 57% of marketers. (Jasper, 2026)

46. Less than half (44%) of organizations have a framework in place to measure generative AI, while less than one-third (31%) have one for agentic AI. (Adobe, 2026)

47. Marketers who deploy AI and can measure ROI report 20% increase in overall ROI, driven by 20% and 19% increases in customer satisfaction and conversion rates, respectively. (Salesforce, 2026)

48. Marketers deploying AI also report a 19% reduction in marketing costs. (Salesforce, 2026)

AI personalization statistics

Personalization has become a major priority for marketers, with nearly all saying that it has a positive effect on purchases and leads. However, many lack direct, unrestricted access to the data that enables large-scale, AI-powered personalization.

The stats below show that marketers are struggling with personalization and the potential effects (both positive and negative) of using AI in this space:

49. Six in ten organizations also expect the breakthrough customer experiences to be driven by AI, but in a natural and on-brand way. (Adobe, 2026)

50. 50% of marketers plan to use AI to improve personalization and ABM over the next 12 months. (Jasper, 2026)

51. Nearly half (49%) of customers say that they would use AI to receive personalized recommendations on what products to buy. (Adobe, 2026)

52. Personalization requires a careful approach not to cross red lines for customers—over half of consumers (52%) feel that it’s too personal when an ad knows what they’re going to buy before they search for it, and 50% say the same for when ads speak to something that they did offline. (Canva, 2026)

53. 37% of customers would disengage if they learn they’re interacting with an AI when they expected to speak with a human. (Adobe, 2026)

AI in advertising statistics

Advertising is a growing dimension of AI in marketing, and organizations are gradually increasing their investment in AI-powered ads. Consumer sentiment is mixed, but the clear throughline seems to be that customers prefer human-made ads, even though they don’t mind AI use if it’s applied in a way that makes them more relevant.

While organizations are racing to implement AI in ad creation, consumer reactions give reason for caution, as the following stats show:

54. 13% of marketers use AI for creative scoring today, but over a third (37%) plan to increase investment in it over the next year. (Supermetrics, 2026)

55. 70% of consumers report being able to tell when an ad is AI-generated in most cases. (Canva, 2026)

56. 65% even say that AI-generated ads are laughably obvious. (Canva, 2026)

57. 78% of consumers would rather view ads made by humans, even if AI-produced ads are actually better. However, 68% of consumers say that they don’t mind AI in ads if it makes them more relevant, signaling a threshold for tolerance. (Canva, 2026)

58. Nearly three-quarters of consumers say that they’re more likely to purchase from ads created entirely by humans than those that are generated by AI. (Canva, 2026)

AI in advertising statistics

Marketers across industries are already bought in on AI. For today’s marketing teams, the question isn’t whether to adopt AI; it’s “how far can and should we go, and what results can we actually measure?”

The following stats show where investment in AI is in the marketing industry and where it’s headed, despite challenges in understanding what tangible benefits AI actually delivers.

59. 99% of marketing leaders plan to increase their AI investment in 2026 (Canva, 2026)

60. 75% of marketing organizations use at least one form of AI, and 13% currently use agentic AI (Salesforce, 2026)

61. The AI marketing market is projected to grow from $24.03 billion in 2025 to $215.03 billion by 2035, a 24.5% CAGR (Market Research Future, 2026)

62. Only 30% of marketers report significant, measurable results from AI, while 39% see results they can't measure (Social Media Examiner, 2026)

Get started on AI in marketing with Supermetrics

These AI marketing statistics present a somewhat muddy picture. Data shows that the AI adoption train is fully rolling; however, most report that they’re far from having AI fully embedded. And while AI is a potential solution for achieving the personalization at scale that marketers are chasing, many consumers aren’t comfortable with over-personalization and would rather interact with human-made content.

If you’re looking to bring AI into your marketing workflows, start by getting your data AI-ready to build the foundation AI runs on. Without it, even the strongest model will confidently hand you answers based on data you can’t trust.

Supermetrics connects real-time data from both marketing and data sources into a unified, governed layer that any AI can query, whether you’re using pre-built agents with Supermetrics AI or using the platform’s various LLM integrations. Over 200,000 companies across 120 countries trust Supermetrics as their AI-powered marketing intelligence platform.

Book a demo or start a free trial to see how you can transform your marketing intelligence workflows with Supermetrics.

FAQ

What are the best tools for AI in marketing?

Some of the best specialized AI tools for marketing include Supermetrics for marketing intelligence, Jasper for written content, and Runway for video production. LLMs like Claude, ChatGPT, and Copilot also have tons of applications in marketing.

What challenges do marketers face with AI adoption?

One of the clearest barriers to adoption for marketers is their lack of unrestricted control over the data they need for AI to work as intended. Even if they do have control of that data, it may not be truly AI-ready, which can effectively lead to the same outcome if not addressed early in the implementation.

Lack of guidance and training is also a very common issue standing in the way of adoption. Supermetrics data shows that 37% of marketers don’t have a clear AI strategy from leadership and 35% don’t have proper AI training.

What are the best AI agents for marketing analysis and reporting?

Some of the best AI agents for marketing analysis and reporting include Supermetrics’ Dashboard and Insights Agents. Dashboard Agent lets you create and refine interactive dashboards and reports over all of your marketing data, while Insights Agent analyzes your data to find the relationships and trends driving results.

Other agentic AI solutions for marketing include Klaviyo AI for email marketing and Relevance AI for custom multi-agent systems.

What is the projected CAGR for the AI marketing industry?

According to the most recent Market Research Future report, the AI in marketing industry is expected to grow at a CAGR of 24.5% from 2025 to 2035.

How much productivity do marketing teams gain using AI tools?

Most marketing teams save several hours per week with AI. HubSpot data shows that two-thirds of marketing teams save 10 or more hours per week, while Canva data shows that almost nine in ten (89%) save 4 hours per week. Generally speaking, the more AI marketing workflows you use, the more time you’re able to save.