Key Takeaways
- 47% of marketers reported using AI to improve email marketing performance, per the 2024 report by Omnisend “AI in ecommerce marketing”
- 51% of B2B marketers report using AI in content creation, per the 2024 State of B2B Marketing report by Semrush
- The global AI in marketing software market size is expected to reach $15.5 billion by 2030, growing at a CAGR of 28.1% from 2022, according to Fortune Business Insights
- The generative AI market in advertising and marketing is forecast to reach $2.7 billion by 2027, per MarketsandMarkets (generative AI in advertising/marketing segment)
- The global marketing analytics software market was valued at $6.9 billion in 2023 and is projected to reach $11.4 billion by 2028, per MarketsandMarkets
- 56% of marketers say that AI will be critical to their organization’s marketing success within 2 years, per Salesforce’s 2024 “State of Marketing” style research (survey results)
- In a survey of 1,000+ marketing leaders, 51% said generative AI is already improving their productivity, per Gartner (as quoted in Gartner-hosted newsroom material)
- By 2026, generative AI in marketing is expected to create $466 billion in value (global), per Gartner forecast (as reported in Gartner materials)
- The average cost to produce a high-quality marketing asset is reduced by 25% using AI-assisted design tooling, per a 2023/2024 Canva report on design productivity
- Marketing teams using AI for customer segmentation spend 20% less time on manual analysis per Gartner benchmarking report (segmentation automation)
- Marketers who use predictive analytics for campaigns report a 10% uplift in campaign performance (average), per a 2022 survey published by Crayon (predictive analytics adoption/performance analysis)
- Ad buyers using AI for ad creative production reported saving 30% of creative production time in a 2024 survey by Analytic Partners
- In a 2023 study, 67% of marketers reported improved customer retention when using AI/ML-driven segmentation, per a ReportLinker-aggregated citation of a vendor benchmark (as published in the report’s methodology page)
- The EU’s Digital Services Act requires ‘very large online platforms’ and ‘very large online search engines’ (VLOPs/VSLOs) to assess systemic risks, with obligations starting from 2024, per the official EU regulation text
- GDPR fines can be up to €20 million or 4% of annual global turnover for certain infringements, per Article 83 of the GDPR
Nearly half of marketers already use AI for email, as rapid growth in marketing analytics and generative AI accelerates gains.
Related reading
01 · Category
User Adoption2 stats
User Adoption Interpretation
02 · Category
Market Size9 stats
Market Size Interpretation
03 · Category
Industry Trends11 stats
Industry Trends Interpretation
More related reading
04 · Category
Cost Analysis2 stats
Cost Analysis Interpretation
05 · Category
Performance Metrics4 stats
Performance Metrics Interpretation
06 · Category
Risk And Compliance5 stats
Risk And Compliance Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Margot Villeneuve. (2026, February 13). AI In The Digital Marketing Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-digital-marketing-industry-statistics
Margot Villeneuve. "AI In The Digital Marketing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-digital-marketing-industry-statistics.
Margot Villeneuve. 2026. "AI In The Digital Marketing Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-digital-marketing-industry-statistics.
Sources & references
33 datasets cited across this report · attribution is report-level
+14 additional datasets cited (not shown individually)

