AI in marketing statistics

AI has become standard in marketing teams at breakneck speed. These figures show how fast adoption is moving, where the real time savings are, and why human oversight remains essential.

Last updated: June 14, 2026 · 8 verified statistics

TDK

Tanguy De Keyzer Oprichter & digitale strateeg

88% Of organizations use AI in at least one business function A sharp rise from 78% a year earlier. AI is no longer an experiment but part of daily operations. Source: McKinsey, The State of AI (2025)

75% Of marketers have used AI in their work by now AI has thus become mainstream in marketing teams. The challenge is shifting from adoption to using AI in a genuinely smart and integrated way. Source: Salesforce, State of Marketing (2026)

79% Of marketers say AI lets them spend less time on manual work That frees up room: 73% can put more time into the work that really matters. Source: HubSpot, AI Trends for Marketers (2026)

~8 hours Weekly time savings high performers recover with AI That adds up to more than a month per year. That time goes into deeper customer insights, strategy and creative work instead of routine tasks. Source: Salesforce, State of Marketing (2026)

43% Use AI most intensively for content creation Writing and reworking text is the most common use case, followed by media production (37%) and automating administrative tasks (36%). Source: HubSpot, AI Trends for Marketers (2026)

34% Of marketing teams already run at least one autonomous AI agent in production More than double the 14% from late 2025. This is where the next adoption wave sits, and high performers are leading it. Source: Salesforce, State of Marketing (2026)

41% Cite data privacy concerns as the biggest brake on new AI tools Data privacy remains the most important barrier: 75% of marketers factor it in when choosing a new AI tool. Source: HubSpot, AI Trends for Marketers (2026)

98% Of AI teams run into at least one data problem that blocks personalization Think fragmented data sources, too much data, or poor data quality. AI is only as good as the data and oversight behind it, and that's where humans remain essential. Source: Salesforce, State of Marketing (2026)

What do these figures mean for Belgian B2B companies?

The common thread is clear: AI is no longer hype but a standard tool. Nearly nine in ten organizations already use it, three quarters of marketers have deployed it, and high performers win back up to eight hours a week with it. For a Belgian B2B company that’s good news, on one condition: you use that time savings to do what matters better, not to produce more noise faster.

Because those same figures also show the flip side. Almost all AI teams run into data problems that block personalization, and data privacy is the biggest brake on new tools. AI is only as good as the data and oversight behind it. It speeds up your execution, but it doesn’t replace strategy, and certainly not human oversight. Whoever blindly trusts the output will sooner or later send something wrong to a prospect.

Our approach: deploy AI where it measurably saves time and steer on customers and revenue, not on output volume. Start with one concrete process, for example automating lead follow-up with AI agents, and build from there. Want to lay the groundwork first? Read how to use AI wisely in your marketing.

Frequently asked questions

Does AI replace marketers in B2B? +

No. The figures show AI mainly removes manual work, freeing up time for marketers to focus on strategy and customer contact. AI speeds up execution, but doesn't make strategic decisions and can't build a trust relationship with your customer.

Where does AI in marketing deliver results fastest? +

On repetitive work with a clear output: first drafts, summaries, data analysis and research. For B2B, the real leverage is in automating follow-up and warming up leads, not in simply churning out more content.

How do you start smart with AI in a B2B company? +

Start small on one well-defined process that takes a lot of time, measure the result, and build from there. Always keep human oversight on the output, especially for anything that goes to customers or prospects.

AI marketing for B2B: concrete applications without the hype

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Source: Customer Impact, AI in marketing statistics, https://www.customerimpact.be/en/marketing-statistics/ai-in-marketing/

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