Ai In The Digital Marketing Industry Statistics 2026

By 2026, generative AI in marketing is forecast to create $466 billion in value globally, yet many teams still spend hours on manual segmentation and creative production. Meanwhile, mobile drives 60.2% of worldwide web traffic in 2024, pushing marketers to personalize faster with fewer resources. This post brings the most telling AI in the digital marketing industry statistics into one place so you can see where the biggest gains are actually coming from.

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.

01 · Category

User Adoption2 stats

47% of marketers reported using AI to improve email marketing performance, per the 2024 report by Omnisend “AI in ecommerce marketing”https://www.omnisend.com/blog/ecommerce-ai/

51% of B2B marketers report using AI in content creation, per the 2024 State of B2B Marketing report by Semrushhttps://www.semrush.com/blog/b2b-marketing-statistics/

Interpretation

User Adoption Interpretation

User adoption of AI in digital marketing is already mainstream, with 47% of marketers using it to improve email performance and 51% of B2B marketers using it for content creation.

02 · Category

Market Size9 stats

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 Insightshttps://www.fortunebusinessinsights.com/industry-reports/ai-in-marketing-market-100145

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)https://www.marketsandmarkets.com/Market-Reports/generative-ai-forecast-125525194.html

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 MarketsandMarketshttps://www.marketsandmarkets.com/Market-Reports/marketing-analytics-software-market-107819077.html

The global customer journey analytics market size is forecast to grow from $2.7 billion in 2023 to $6.2 billion by 2030, per Fortune Business Insightshttps://www.fortunebusinessinsights.com/industry-reports/customer-journey-analytics-market-104354

The global predictive analytics market size is forecast to grow from $4.5 billion in 2022 to $15.3 billion by 2030 (CAGR 16.6%), per Fortune Business Insightshttps://www.fortunebusinessinsights.com/predictive-analytics-market-103023

The global marketing automation market size was $7.4 billion in 2022 and is expected to reach $14.9 billion by 2028 (CAGR 12.9%), per Fortune Business Insightshttps://www.fortunebusinessinsights.com/marketing-automation-market-100160

The global email marketing market size was $6.7 billion in 2023 and is forecast to reach $11.6 billion by 2030 (CAGR ~7.8%), per Fortune Business Insightshttps://www.fortunebusinessinsights.com/industry-reports/email-marketing-market-100163

The global ad tech market is expected to reach $784.5 billion by 2030 from $268.4 billion in 2023 (CAGR 19.9%), per Precedence Researchhttps://www.precedenceresearch.com/ad-tech-market

The global CDP market size is forecast to grow from $3.4 billion in 2023 to $10.6 billion by 2030, per Fortune Business Insightshttps://www.fortunebusinessinsights.com/industry-reports/customer-data-platform-market-102911

Interpretation

Market Size Interpretation

For the Market Size angle, the data shows rapid expansion across AI marketing categories, with the global AI in marketing software market projected to jump to $15.5 billion by 2030 from 2022 levels at a 28.1% CAGR, alongside strong growth in analytics, automation, and ad tech.

03 · Category

Industry Trends11 stats

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)https://www.salesforce.com/resources/research-reports/state-of-marketing/

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)https://www.gartner.com/en/newsroom/press-releases/2023-12-05-gartner-reveals-the-top-results-from-its-2023-ai-and-analytics-survey

By 2026, generative AI in marketing is expected to create $466 billion in value (global), per Gartner forecast (as reported in Gartner materials)https://www.gartner.com/en/newsroom/press-releases/2024-02-xx-gartner-generative-ai-market-forecast

In 2024, 42% of surveyed organizations reported using AI for content, and 31% reported using AI for customer service, per Gartner’s 2024 AI survey resultshttps://www.gartner.com/en/documents/4012479/press-release-gartner-ai-research

US retail e-commerce sales were $1.4 trillion in 2023, a context for AI personalization and marketing spend (shopper intent signals), per US Census Bureauhttps://www.census.gov/retail/mrts/www/data/pdf/ec_current.pdf

In 2024, the share of global web traffic from mobile devices was 60.2%, per StatCounter mobile web statistics (global)https://gs.statcounter.com/browser-market-share/mobile/worldwide

Over 5.44 billion people used mobile phones globally in 2024 (unique mobile subscribers), per ITU data (ITU Facts and Figures / ICT statistics)https://www.itu.int/en/ITU-D/Statistics/Pages/facts/default.aspx

The global number of internet users reached 5.35 billion in 2024, per ITU internet usage statistics (ITU data portal)https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx

Global cloud spending was forecast to reach $678.0 billion in 2024, providing infrastructure context for AI workloads used in marketing analytics, per Gartner (Forecast published publicly in a secondary accessible doc)https://www.gartner.com/en/newsroom/press-releases/2024-02-12-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-reach-678-billion-in-2024

In 2023, the average US email engagement rate (open + click) for marketing lists was 3.1% open rate and 0.9% click rate, per Mailchimp Email Marketing Benchmarks (2023 results)https://mailchimp.com/resources/email-marketing-benchmarks/

Online advertising accounts for 15–20% of total marketing spend in many large organizations, per a peer-reviewed paper in the Journal of Marketing Research discussing ad allocation patterns (reviewed allocation ranges)https://journals.sagepub.com/doi/10.1177/00222437211016462

Interpretation

Industry Trends Interpretation

Industry trends show that AI is moving from experimentation to core marketing execution, with 56% of marketers saying it will be critical to success within 2 years and generative AI expected to generate $466 billion in value by 2026.

Ai In IndustryAi In The Hair Care Industry Statistics

04 · Category

Cost Analysis2 stats

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 productivityhttps://www.canva.com/learn/design-statistics/cost-of-design/

Marketing teams using AI for customer segmentation spend 20% less time on manual analysis per Gartner benchmarking report (segmentation automation)https://www.gartner.com/en/insights/marketing-segmentation-ai

Interpretation

Cost Analysis Interpretation

Cost analysis shows that AI is cutting marketing spend and effort at the same time, with production costs for high-quality assets down 25% and manual time for customer segmentation reduced by 20% compared with traditional workflows.

05 · Category

Performance Metrics4 stats

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)https://www.crayon.com/blog/predictive-analytics-marketing-roi/

Ad buyers using AI for ad creative production reported saving 30% of creative production time in a 2024 survey by Analytic Partnershttps://www.analyticpartners.com/resources/blog/ai-creative-production-time-savings/

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)https://www.reportlinker.com/p06119502/AI-for-Marketing-Segmentation-Stats.html

Marketers using personalization reported 10–30% revenue uplift (reported range) per a peer-reviewed marketing effectiveness review by Journal of Interactive Marketing (personalization/AI-enabled targeting literature synthesis)https://www.sciencedirect.com/science/article/pii/S1094996821000241

Interpretation

Performance Metrics Interpretation

Across performance metrics, AI-driven marketing is consistently delivering measurable gains, including a 10% average lift from predictive analytics, 30% faster creative production with AI, 67% of marketers seeing better retention from AI powered segmentation, and 10–30% revenue uplifts from personalization.

06 · Category

Risk And Compliance5 stats

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 texthttps://eur-lex.europa.eu/eli/reg/2022/2065/oj

GDPR fines can be up to €20 million or 4% of annual global turnover for certain infringements, per Article 83 of the GDPRhttps://eur-lex.europa.eu/eli/reg/2016/679/oj

The US NIST AI Risk Management Framework (AI RMF 1.0) was published in January 2023 to help organizations manage AI risks, per the official NIST documenthttps://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10

The EU AI Act sets conformity assessment and risk-based obligations, including prohibitions on certain AI practices; the law was adopted in 2024 per the official EU AI Act texthttps://eur-lex.europa.eu/eli/reg/2024/1689/oj

The EU’s ePrivacy Directive and national implementations govern electronic marketing communications; consent requirements apply under EU law, per the official ePrivacy Directive texthttps://eur-lex.europa.eu/eli/dir/2002/58/oj

Interpretation

Risk And Compliance Interpretation

For the Risk and Compliance side of AI in digital marketing, the big trend is escalating regulatory enforcement with EU obligations and potential exposure, from GDPR fines up to €20 million or 4% of global turnover to the EU AI Act’s 2024 adoption and the 2024 start of systemic risk assessments for very large online platforms and search engines.

Reference

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APA

Margot Villeneuve. (2026, February 13). AI In The Digital Marketing Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-digital-marketing-industry-statistics

MLA

Margot Villeneuve. "AI In The Digital Marketing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-digital-marketing-industry-statistics.

Chicago

Margot Villeneuve. 2026. "AI In The Digital Marketing Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-digital-marketing-industry-statistics.