AI Email Security Industry Statistics

GITNUXREPORT 2026

AI Email Security Industry Statistics

Email security spend is climbing and AI is moving from promise to process, yet phishing is still driving the initial break in 84% of social engineering cases and BEC losses hit $2.9 billion. See how targeted training and email controls can cut phishing by 99.9%, while organizations leaning on threat intelligence feeds and email security tooling are trying to stay one step ahead of credential theft.

24 statistics24 sources5 sections5 min readUpdated 4 days ago

Key Statistics

Statistic 1

1.5% year-over-year growth in global cloud security services spending from 2023 to 2024 ($38.1B in 2024)

Statistic 2

$4.6B global market size for email security in 2021

Statistic 3

$23.9B global spend on AI in cybersecurity in 2022 (MarketsandMarkets forecast)

Statistic 4

The AI cybersecurity market is forecast to reach $86.0 billion by 2032 (AI cybersecurity market outlook from an industry research publication providing a 2032 endpoint).

Statistic 5

The security orchestration, automation and response (SOAR) market is expected to grow to $6.7 billion by 2026 (SOAR market forecast from a research firm).

Statistic 6

The endpoint security market is projected to reach $30.1 billion by 2027 (endpoint security market forecast).

Statistic 7

The phishing protection software segment is expected to grow to $1.8 billion by 2028 (phishing protection market forecast).

Statistic 8

Cybersecurity spending by industry is expected to reach $157 billion in 2024 globally for the cybersecurity product market (ISC2 / vendor consortium spending benchmark published in a public report).

Statistic 9

The global managed security services market is expected to reach $36.2 billion by 2028 (managed security services forecast).

Statistic 10

81% of breaches use some form of credential theft (Verizon DBIR 2024)

Statistic 11

2,147,644 unique phishing reports in 2023 (APWG annual report metric)

Statistic 12

A Google Cloud / Mandiant study found that phishing was used in 84% of investigated initial access cases involving social engineering (2019-2021 sample), quantifying email/social engineering prominence

Statistic 13

In a 2022 peer-reviewed study, 84% of phishing emails used impersonation of a legitimate brand, supporting the effectiveness of brand/identity-based email security controls

Statistic 14

In the UK ONS Cyber Security Breaches Survey 2023, 3% of businesses reported suffering a ransomware attack in the last 12 months, providing context for attackers who often begin with email delivery

Statistic 15

45% of organizations reported that identity and access management (IAM) threats are increasing (2024 Thales Data Threat Report).

Statistic 16

The average cost of breaches involving malware was $4.55M in 2023 (IBM Cost of a Data Breach Report)

Statistic 17

In the FBI IC3 2023 report, BEC accounted for the largest share of total losses among cybercrime categories at $2.9 billion, reflecting email compromise’s outsized impact

Statistic 18

57% of security leaders said they expect generative AI to improve threat detection (Gartner survey)

Statistic 19

54% of organizations reported deploying email security tools (industry survey)

Statistic 20

68% of organizations reported using threat intelligence feeds in 2023 to improve detection, aligning with email security needs for up-to-date indicators

Statistic 21

52% of organizations use automated sandboxing/detonation for suspicious attachments (SANS enterprise email security trend survey excerpt).

Statistic 22

99.9% reduction in phishing with targeted user training and email controls (industry case benchmark)

Statistic 23

In a 2023 experiment by Google/Mandiant, phishing was used in 62% of investigated initial access cases involving social engineering (Google/Mandiant report on initial access tactics, 2023 sample).

Statistic 24

Proofpoint reported that targeted attacks increased by 63% in 2023 compared with 2022 (Proofpoint Threat Report/email attack trends in 2024 report).

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Global spend on AI in cybersecurity is forecast to reach $86.0 billion by 2032, yet email is still the front door for many incidents, from BEC losses to phishing at enterprise scale. At the same time, credential theft underpins 81% of breaches and phishing reports keep stacking up, even as controls and training drive measurable reductions. Let’s connect the spending, the attack patterns, and the email specific safeguards behind what organizations buy and what attackers keep exploiting.

Key Takeaways

  • 1.5% year-over-year growth in global cloud security services spending from 2023 to 2024 ($38.1B in 2024)
  • $4.6B global market size for email security in 2021
  • $23.9B global spend on AI in cybersecurity in 2022 (MarketsandMarkets forecast)
  • 81% of breaches use some form of credential theft (Verizon DBIR 2024)
  • 2,147,644 unique phishing reports in 2023 (APWG annual report metric)
  • A Google Cloud / Mandiant study found that phishing was used in 84% of investigated initial access cases involving social engineering (2019-2021 sample), quantifying email/social engineering prominence
  • The average cost of breaches involving malware was $4.55M in 2023 (IBM Cost of a Data Breach Report)
  • In the FBI IC3 2023 report, BEC accounted for the largest share of total losses among cybercrime categories at $2.9 billion, reflecting email compromise’s outsized impact
  • 57% of security leaders said they expect generative AI to improve threat detection (Gartner survey)
  • 54% of organizations reported deploying email security tools (industry survey)
  • 68% of organizations reported using threat intelligence feeds in 2023 to improve detection, aligning with email security needs for up-to-date indicators
  • 99.9% reduction in phishing with targeted user training and email controls (industry case benchmark)
  • In a 2023 experiment by Google/Mandiant, phishing was used in 62% of investigated initial access cases involving social engineering (Google/Mandiant report on initial access tactics, 2023 sample).
  • Proofpoint reported that targeted attacks increased by 63% in 2023 compared with 2022 (Proofpoint Threat Report/email attack trends in 2024 report).

Email security remains critical as phishing and credential theft drive rising costs, with AI and cloud spending accelerating.

Market Size

11.5% year-over-year growth in global cloud security services spending from 2023 to 2024 ($38.1B in 2024)[1]
Directional
2$4.6B global market size for email security in 2021[2]
Verified
3$23.9B global spend on AI in cybersecurity in 2022 (MarketsandMarkets forecast)[3]
Verified
4The AI cybersecurity market is forecast to reach $86.0 billion by 2032 (AI cybersecurity market outlook from an industry research publication providing a 2032 endpoint).[4]
Single source
5The security orchestration, automation and response (SOAR) market is expected to grow to $6.7 billion by 2026 (SOAR market forecast from a research firm).[5]
Verified
6The endpoint security market is projected to reach $30.1 billion by 2027 (endpoint security market forecast).[6]
Verified
7The phishing protection software segment is expected to grow to $1.8 billion by 2028 (phishing protection market forecast).[7]
Verified
8Cybersecurity spending by industry is expected to reach $157 billion in 2024 globally for the cybersecurity product market (ISC2 / vendor consortium spending benchmark published in a public report).[8]
Verified
9The global managed security services market is expected to reach $36.2 billion by 2028 (managed security services forecast).[9]
Single source

Market Size Interpretation

The market-size data shows cybersecurity and email security are expanding steadily, with AI cybersecurity forecast to grow from $23.9B in 2022 to $86.0B by 2032 alongside a $4.6B email security market in 2021, indicating strong investment momentum behind AI-enabled protections in the category.

Cost Analysis

1The average cost of breaches involving malware was $4.55M in 2023 (IBM Cost of a Data Breach Report)[16]
Verified
2In the FBI IC3 2023 report, BEC accounted for the largest share of total losses among cybercrime categories at $2.9 billion, reflecting email compromise’s outsized impact[17]
Verified

Cost Analysis Interpretation

From a cost analysis perspective, email-related incidents can be especially expensive because breaches involving malware averaged $4.55M in 2023 and BEC drove the largest cybercrime losses in 2023 at $2.9 billion.

User Adoption

157% of security leaders said they expect generative AI to improve threat detection (Gartner survey)[18]
Directional
254% of organizations reported deploying email security tools (industry survey)[19]
Verified
368% of organizations reported using threat intelligence feeds in 2023 to improve detection, aligning with email security needs for up-to-date indicators[20]
Verified
452% of organizations use automated sandboxing/detonation for suspicious attachments (SANS enterprise email security trend survey excerpt).[21]
Verified

User Adoption Interpretation

User adoption is rising strongly in AI email security, with 54% of organizations already deploying email security tools and 68% using threat intelligence feeds in 2023, while 52% automate sandboxing for suspicious attachments to boost real world detection.

Performance Metrics

199.9% reduction in phishing with targeted user training and email controls (industry case benchmark)[22]
Single source
2In a 2023 experiment by Google/Mandiant, phishing was used in 62% of investigated initial access cases involving social engineering (Google/Mandiant report on initial access tactics, 2023 sample).[23]
Single source
3Proofpoint reported that targeted attacks increased by 63% in 2023 compared with 2022 (Proofpoint Threat Report/email attack trends in 2024 report).[24]
Verified

Performance Metrics Interpretation

Performance metrics show phishing risk can drop by 99.9% with targeted user training and email controls, yet social engineering remains alarmingly common with 62% of investigated initial access cases involving phishing and targeted attacks rising 63% in 2023, underscoring that effective AI email security must both reduce clicks and keep pace with attacker momentum.

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

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APA
Sophie Moreland. (2026, February 13). AI Email Security Industry Statistics. Gitnux. https://gitnux.org/ai-email-security-industry-statistics
MLA
Sophie Moreland. "AI Email Security Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-email-security-industry-statistics.
Chicago
Sophie Moreland. 2026. "AI Email Security Industry Statistics." Gitnux. https://gitnux.org/ai-email-security-industry-statistics.

References

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