Ai In The Email Marketing Industry Statistics

GITNUXREPORT 2026

Ai In The Email Marketing Industry Statistics

With 88% of marketing teams already relying on marketing automation platforms by 2024 and 52% saying real time personalization is very important, the tension is clear: 37% of emails never get opened in typical benchmarks, so subject lines and send timing cannot be treated as an afterthought. See how AI is reshaping both deliverability and spend priorities, from email security adoption to the scale of the email marketing software and CRM markets.

28 statistics28 sources5 sections6 min readUpdated today

Key Statistics

Statistic 1

11.7% of global email users use AI/ML-based spam filtering tools in 2024, indicating meaningful AI adoption in email security adjacent to marketing deliverability

Statistic 2

73% of marketers say personalization increases customer engagement, supporting the business value of AI-driven personalization in email marketing

Statistic 3

77% of marketers use marketing automation tools to deliver more personalized experiences, closely tied to AI-enabled email personalization workflows

Statistic 4

52% of marketers report that real-time personalization is important/very important, driving AI usage for dynamic email content

Statistic 5

64% of organizations expect their marketing budgets to increase in the next 12 months, which increases funding for AI-enabled email marketing capabilities

Statistic 6

68% of marketers say email is their most effective channel for revenue generation, motivating AI tools to improve email performance

Statistic 7

83% of organizations consider privacy regulation a top challenge for marketing personalization, affecting AI-enabled email targeting strategies

Statistic 8

In 2023, phishing emails accounted for 1 in 5 emails blocked by Microsoft Defender for Office 365 (2023 security report)

Statistic 9

37% of emails are not opened (100% - 63% open-to-delivered ratio) in typical benchmarks, underscoring AI needs for subject line and send-time optimization

Statistic 10

0.1% unsubscribe benchmark target is commonly used as a best-practice threshold; exceeds indicate content relevance problems AI can address

Statistic 11

35% of marketers cite deliverability as a major factor affecting email campaign performance (2024 survey)

Statistic 12

Average click-to-open rate (CTOR) across industries was 21.2% in 2023 (benchmark; MailerLite/benchmark study)

Statistic 13

24% of marketing teams report using predictive analytics to optimize campaigns, closely aligned with AI-driven email targeting

Statistic 14

88% of marketing organizations use marketing automation platforms by 2024, supporting the operational base for AI email optimization

Statistic 15

13.2% of marketers use AI to predict lead/customer behavior, a technique often applied in email targeting and lifecycle messaging

Statistic 16

11% of organizations report measuring marketing attribution using AI or machine learning in 2024, relevant to AI email optimization decisions

Statistic 17

23% of organizations report using AI to automate customer support outreach that may include email follow-ups in 2024

Statistic 18

60% of marketers say they use some form of marketing automation (2023 survey)

Statistic 19

$5.0B global email marketing software market size in 2023 (forecast category), providing demand context for AI-enabled email marketing tools

Statistic 20

$3.0B global marketing automation software market size in 2022, a large spend area where AI enhances email journeys

Statistic 21

$9.5B global email deliverability software market size in 2023 (forecast category), reflecting investment in deliverability optimization

Statistic 22

$14.2B global CRM market size in 2023, relevant because AI email personalization often runs through CRM-integrated marketing tools

Statistic 23

4.0% CAGR forecast for email marketing services from 2024 to 2030, supporting the expansion of AI-enabled tooling

Statistic 24

The global email security market is projected to reach $7.0 billion by 2030 (markets & vendor consensus estimate; 2023 analysis)

Statistic 25

The global email marketing market is projected to reach $17.9 billion by 2030 (forecast; 2024 report)

Statistic 26

20% of marketing budgets are spent on email marketing, showing the cost pool AI targets for efficiency gains

Statistic 27

The average cost of a data breach is $4.45 million in 2024, increasing the value of AI-assisted security and safe targeting practices for email programs

Statistic 28

Cost per thousand impressions (CPM) for email ads is typically lower than display; email median CPM is $0.10 per 1000 sends (industry benchmark)

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Most email programs are still fighting the same bottleneck with every send and every open rate, yet new AI adoption and budget forecasts are pushing email personalization and deliverability into a different league. For example, 11.7% of global email users already rely on AI or machine learning based spam filtering tools in 2024, while 37% of emails go unopened in typical benchmarks and marketers keep saying real time personalization matters. Layer in growing spending on email software and marketing automation, plus the security stakes of a $4.45 million average data breach cost in 2024, and the tension between performance goals and responsible targeting becomes impossible to ignore.

Key Takeaways

  • 11.7% of global email users use AI/ML-based spam filtering tools in 2024, indicating meaningful AI adoption in email security adjacent to marketing deliverability
  • 73% of marketers say personalization increases customer engagement, supporting the business value of AI-driven personalization in email marketing
  • 77% of marketers use marketing automation tools to deliver more personalized experiences, closely tied to AI-enabled email personalization workflows
  • 37% of emails are not opened (100% - 63% open-to-delivered ratio) in typical benchmarks, underscoring AI needs for subject line and send-time optimization
  • 0.1% unsubscribe benchmark target is commonly used as a best-practice threshold; exceeds indicate content relevance problems AI can address
  • 35% of marketers cite deliverability as a major factor affecting email campaign performance (2024 survey)
  • 24% of marketing teams report using predictive analytics to optimize campaigns, closely aligned with AI-driven email targeting
  • 88% of marketing organizations use marketing automation platforms by 2024, supporting the operational base for AI email optimization
  • 13.2% of marketers use AI to predict lead/customer behavior, a technique often applied in email targeting and lifecycle messaging
  • $5.0B global email marketing software market size in 2023 (forecast category), providing demand context for AI-enabled email marketing tools
  • $3.0B global marketing automation software market size in 2022, a large spend area where AI enhances email journeys
  • $9.5B global email deliverability software market size in 2023 (forecast category), reflecting investment in deliverability optimization
  • 20% of marketing budgets are spent on email marketing, showing the cost pool AI targets for efficiency gains
  • The average cost of a data breach is $4.45 million in 2024, increasing the value of AI-assisted security and safe targeting practices for email programs
  • Cost per thousand impressions (CPM) for email ads is typically lower than display; email median CPM is $0.10 per 1000 sends (industry benchmark)

AI is reshaping email marketing with better personalization, automation, and deliverability as budgets grow and competition increases.

Performance Metrics

137% of emails are not opened (100% - 63% open-to-delivered ratio) in typical benchmarks, underscoring AI needs for subject line and send-time optimization[9]
Verified
20.1% unsubscribe benchmark target is commonly used as a best-practice threshold; exceeds indicate content relevance problems AI can address[10]
Verified
335% of marketers cite deliverability as a major factor affecting email campaign performance (2024 survey)[11]
Directional
4Average click-to-open rate (CTOR) across industries was 21.2% in 2023 (benchmark; MailerLite/benchmark study)[12]
Directional

Performance Metrics Interpretation

Performance metrics show a clear opportunity for AI because with 37% of emails going unopened and the 2023 average click-to-open rate sitting at 21.2%, marketers also need to keep unsubscribe rates near the 0.1% best-practice target while addressing deliverability since 35% cite it as a major performance factor.

User Adoption

124% of marketing teams report using predictive analytics to optimize campaigns, closely aligned with AI-driven email targeting[13]
Verified
288% of marketing organizations use marketing automation platforms by 2024, supporting the operational base for AI email optimization[14]
Single source
313.2% of marketers use AI to predict lead/customer behavior, a technique often applied in email targeting and lifecycle messaging[15]
Verified
411% of organizations report measuring marketing attribution using AI or machine learning in 2024, relevant to AI email optimization decisions[16]
Directional
523% of organizations report using AI to automate customer support outreach that may include email follow-ups in 2024[17]
Single source
660% of marketers say they use some form of marketing automation (2023 survey)[18]
Directional

User Adoption Interpretation

User adoption of AI in email marketing is gaining real traction, with 88% of organizations using marketing automation platforms by 2024 and 24% already leveraging predictive analytics to optimize campaigns.

Market Size

1$5.0B global email marketing software market size in 2023 (forecast category), providing demand context for AI-enabled email marketing tools[19]
Single source
2$3.0B global marketing automation software market size in 2022, a large spend area where AI enhances email journeys[20]
Single source
3$9.5B global email deliverability software market size in 2023 (forecast category), reflecting investment in deliverability optimization[21]
Verified
4$14.2B global CRM market size in 2023, relevant because AI email personalization often runs through CRM-integrated marketing tools[22]
Single source
54.0% CAGR forecast for email marketing services from 2024 to 2030, supporting the expansion of AI-enabled tooling[23]
Verified
6The global email security market is projected to reach $7.0 billion by 2030 (markets & vendor consensus estimate; 2023 analysis)[24]
Single source
7The global email marketing market is projected to reach $17.9 billion by 2030 (forecast; 2024 report)[25]
Single source

Market Size Interpretation

With email marketing markets forecast to grow to $17.9B by 2030 and email marketing services projected at a 4.0% CAGR from 2024 to 2030, the scale of spend across related software categories like $5.0B email marketing software in 2023 and $9.5B email deliverability software in 2023 signals strong market momentum for AI enabled email optimization.

Cost Analysis

120% of marketing budgets are spent on email marketing, showing the cost pool AI targets for efficiency gains[26]
Verified
2The average cost of a data breach is $4.45 million in 2024, increasing the value of AI-assisted security and safe targeting practices for email programs[27]
Single source
3Cost per thousand impressions (CPM) for email ads is typically lower than display; email median CPM is $0.10 per 1000 sends (industry benchmark)[28]
Verified

Cost Analysis Interpretation

For cost analysis, email already receives 20% of marketing budgets and its median CPM is just $0.10 per 1000 sends, but with the average data breach cost hitting $4.45 million in 2024, AI that improves targeting and security offers clear cost-efficiency upside.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

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.

APA
Thomas Lindqvist. (2026, February 13). Ai In The Email Marketing Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-email-marketing-industry-statistics
MLA
Thomas Lindqvist. "Ai In The Email Marketing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-email-marketing-industry-statistics.
Chicago
Thomas Lindqvist. 2026. "Ai In The Email Marketing Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-email-marketing-industry-statistics.

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