Email Security Market: 8 Things to Know When Planning in 2026

Navigate the $13B email security market with 8 expert insights on behavioral AI, SEG gaps, and automation to guide your 2026 budget decisions.

Abnormal AI

February 5, 2026


Security leaders entering 2026 budget cycles face a rapidly evolving threat landscape where more than 90% of successful cyberattacks start with a phishing email, yet the market remains flooded with solutions claiming to solve every problem.

This piece cuts through the noise with data-backed insights to inform planning decisions, from where the email security market is headed to what capabilities matter most against modern attacks.

1. The Market Is Growing Fast, and So Are the Threats

Email security investment continues rising because email attacks succeed at scale, not because existing defenses solve the problem.

The email security market was valued at USD 5.17 billion in 2024 and is expected to reach USD 13.22 billion by 2032, expanding at a CAGR of 12.47% over the forecast period. North America continues leading adoption with substantial year-over-year growth.

Why Investment Is Rising

Organizations spend more because email attacks continue to succeed at scale. The FBI Internet Crime Complaint Center reports business email compromise (BEC) resulted in $2.77 billion in losses in 2024 alone, the second most financially devastating cybercrime category.

Phishing complaints surged significantly year-over-year according to the report, demonstrating fundamental acceleration in attack volume. Email remains one of the most common attack vectors connecting every organization to threat actors, and the market growth reflects this persistent vulnerability rather than progress toward resolution.

Planning Consideration

Frame your 2026 budget discussions around risk reduction, not just capability acquisition. Market growth indicates peer organizations are investing heavily in email security. This spending increase signals that existing defenses continue to fall short against evolving attack methods.

2. Cloud-First Is No Longer Optional

Cloud-based email security solutions now dominate the market, while organizations running on-premises or hybrid deployments face architectural pressure to modernize.

Cloud solutions hold the majority of market share (58.9%). Cloud deployments expand at faster rates while on-premises alternatives grow at substantially slower rates. Large enterprises command the majority of the cloud-based email security software market, indicating adoption concentration among organizations with the most sophisticated security requirements.

What Cloud Architecture Enables

API-based architectures offer significant operational advantages over traditional gateway deployments:

  • No Mail Routing Modifications: Deployment without MX record changes eliminates coordination with messaging and infrastructure teams.

  • Direct Platform Integration: Comprehensive analysis of email content, metadata, and user behavior patterns becomes possible through native connections.

  • Post-Delivery Remediation: Retroactive threat removal from user mailboxes addresses newly identified threats that slipped through initial scanning.

  • Adaptive Detection: Continuous platform access enables detection systems to learn from user behavior over time.

Planning Consideration

If your organization uses Microsoft 365 or Google Workspace, cloud-native integration should be a baseline requirement for any solution under evaluation. Cyber insurance research shows organizations using cloud-based email platforms experience significantly fewer security incidents compared to those operating on-premises infrastructure.

3. Your SEG Alone Often Struggles Against Modern Attacks

Traditional secure email gateways (SEGs) retain minority market share as organizations recognize fundamental detection gaps against modern attack techniques.

According to industry research, 63% of director-level security leaders now use two or more vendors in their email security strategy. This multi-vendor approach has become mainstream practice rather than exception, and the reasons are technical, not preference-based.

Where Traditional Gateways Fall Short

Modern attacks exploit trust and identity rather than technical vulnerabilities that signature-based detection can identify. Industry research shows most phishing attacks successfully pass DMARC authentication, while many phishing emails involve impersonation tactics exploiting trust relationships. Many phishing emails originate from compromised accounts, which are legitimate, authenticated sources that bypass all traditional security gateway authentication checks.

  • Authentication Bypass: Most phishing attacks successfully pass DMARC authentication.

  • Compromised Account Exploitation: Many phishing emails originate from compromised accounts, passing all traditional authentication checks.

  • Payloadless Attacks: A significant portion of phishing attempts rely solely on social engineering without malicious payloads.

  • Temporal Evasion: Modern phishing infrastructure decommissions rapidly after deployment, with threat actors exploiting legitimate platforms while using compromised accounts that pass standard authentication. This renders reputation-based detection ineffective.

Planning Consideration

Assess whether your current detection approach relies on signatures and known threats versus behavioral signals. Traditional SEGs designed for spam and malware often struggle against payloadless BEC and social engineering attacks that use legitimate-looking communication from trusted sources.

4. Behavioral AI Is Becoming Table Stakes

Behavioral analysis represents the most significant technical evolution in email security, enabling detection of modern threats that bypass traditional signature-based defenses.

Organizations that used AI and automation extensively reduced breach costs by nearly $1.9 million compared to those that didn't, while identifying and containing breaches 80 days faster. This accelerated detection translates directly to financial impact with significantly reduced average breach costs.

How Behavioral Analysis Works

Rather than scanning for known malicious indicators, behavioral AI builds baselines for every user and vendor relationship, detecting anomalies that bypass traditional filters. This approach identifies threats that exploit legitimate credentials and detects sophisticated, AI-generated attacks. Behavioral AI identifies:

  • Out-of-character communication patterns

  • Rare relationship paths between senders and recipients

  • Anomalous message topics given historical context

  • Shifts in language, tone, or timing indicating compromise

Organizations deploying behavioral models report significant noise reduction, enabling security teams to focus on genuine threats rather than investigating benign anomalies.

Planning Consideration

When evaluating solutions, ask how they detect attacks with no malicious payload, as these are the threats increasing fastest and proving hardest to catch. Vendor responses should demonstrate specific behavioral signals analyzed, such as communication pattern anomalies, sender relationship verification, and account behavior analysis, rather than generic claims about AI capabilities.

5. BEC and Account Takeover Require Different Defenses

Inbound phishing represents only one dimension of email-based threats, requiring security teams to address the full attack chain to protect against modern adversaries.

BEC, vendor impersonation, and email account takeover exploit trust and identity in ways that require distinct defensive approaches.

The Full Attack Chain

Modern email attacks progress through multiple stages:

  • Initial Compromise: Credential phishing enables account access.

  • Reconnaissance: Attackers study communication patterns, vendor relationships, and business processes.

  • Impersonation or Takeover: Compromised legitimate accounts send fraudulent requests using valid authentication that passes all security checks.

  • Lateral Movement: Compromised accounts target additional victims within the organization or supply chain, or attackers delete evidence and modify account settings.

Planning Consideration

Ensure your 2026 stack addresses the full attack chain: not just blocking malicious links and preventing phishing payloads, but also detecting compromised accounts and fraudulent requests originating from authenticated, trusted sources.

6. Time-to-Value Should Factor Into Your Decision

Deployment complexity varies dramatically across email security architectures, making operational overhead a key selection criterion for security teams.

For organizations with lean security teams, deployment timelines directly impact protection timelines. Traditional SEG deployments requiring MX record changes involve multi-phase coordination including configuring downstream services, ensuring egress IPs are not rate-limited, and sequential deployment phases.

Operational Overhead Considerations

Security teams prefer API-based deployments because they eliminate MX record changes and cross-team coordination overhead. However, trade-offs exist: traditional SEGs block threats before inbox delivery, while API-based solutions may allow threats to reach inboxes before post-delivery remediation removes them. This trade-off is justified by superior detection of sophisticated attacks that bypass traditional defenses.

This distinction reflects a fundamental market shift: traditional gateways rely on signature-based detection, while API-based platforms leverage behavioral analysis to identify anomalies indicating account compromise.

Planning Consideration

Calculate true cost of ownership including deployment time, ongoing management, and SOC hours spent on email triage. For organizations prioritizing speed to protection, API-based platforms offer significant operational advantages by eliminating MX record modifications and enabling post-delivery threat remediation.

7. Compliance Is Driving Budget Conversations

Regulatory requirements provide non-discretionary justification for email security investments across healthcare, financial services, and government sectors.

Healthcare faces imminent transformation: the proposed 2025 HIPAA Security Rule eliminates "addressable" encryption requirements, making email security mandatory with annual penetration testing and 72-hour recovery obligations. Financial services must comply with PCI DSS encryption mandates for cardholder data, SOX retention and audit trail requirements for financial communications, and EU DORA resilience standards. Government agencies require FedRAMP authorization and NIST framework controls for email systems.

The HIPAA proposed rule represents the first major update in over two decades. Most significantly, the proposed rule eliminates the previous distinction between "required" and "addressable" implementation specifications, meaning email encryption, previously allowing risk-based alternatives, becomes a mandatory technical safeguard.

Planning Consideration

If your organization faces regulatory scrutiny, strengthen email security investment justifications by grounding budget requests in specific compliance mandates. Frame budget requests around audit readiness and mandatory compliance controls with specific regulatory citations rather than optional security enhancements; this approach provides board-level credibility and eliminates discretionary budget discussions by establishing compliance obligations.

8. Autonomous AI Will Change How Teams Operate

Autonomous AI agents represent the next frontier in email security operations, fundamentally transforming how security teams handle threat triage, remediation, and user education.

According to Gartner's 2026 predictions, GenAI and AI agent use will create the first true challenge to mainstream productivity tools in 35 years, prompting significant market disruption.

The Critical Implementation Challenge

Implementation approach matters significantly. Organizations deploying isolated, task-specific email security agents without coordination frameworks face substantially higher costs than those implementing integrated multi-agent architectures. As AI adoption accelerates, a growing portion of IT work will focus on remediating AI data debt to secure implementations, highlighting the critical importance of establishing governance frameworks from the outset.

Autonomous Threat Triage and Remediation

Leading email security platforms now offer autonomous capabilities designed to reduce manual investigation workload. These systems provide automated threat classification, prioritization, and integration with existing security workflows for coordinated response, addressing the escalating sophistication of AI-powered phishing attacks.

AI Agents for Security Awareness Training

Adaptive AI-driven training delivers significantly higher phishing simulation reporting rates compared to traditional quarterly training programs. This directly translates to reduced manual workload for security teams by enabling faster, more reliable threat identification from employees.

Adaptive training systems employ autonomous features minimizing administrator overhead through real-time feedback mechanisms that automatically deliver refresher lessons to employees failing simulations, and behavioral analytics that automatically adjust training difficulty based on performance.

Enterprise Automation Investment Acceleration

Organizations with advanced automation are twice as likely to reduce manual workloads significantly and see substantial efficiency gains. The convergence of market disruption, demonstrable improvements in security awareness training, and widespread cost reductions validate autonomous AI agents as strategic investment priority for 2026.

Planning Consideration

As headcount remains constrained, evaluate whether solutions offer automation that scales protection without scaling team size. Prioritize integrated agent architectures over isolated point solutions to avoid implementation challenges and maximize operational efficiency.

What This Means for Your 2026 Planning

Questions to Ask When Evaluating Solutions

  • Does the solution detect attacks without malicious payloads or known signatures using behavioral AI?

  • How quickly can it integrate with your existing Microsoft 365 or Google Workspace environment via API without disrupting mail flow?

  • Does it provide capabilities to detect and respond to account takeover and internal compromise, not just inbound threats?

  • What automation capabilities reduce SOC workload on email incidents through automated triage and remediation?

  • Can it integrate seamlessly with your existing email platform to enable post-delivery threat removal?

The Shift Security Teams Cannot Ignore

Modern email attacks increasingly target human behavior and trust relationships, exploiting account compromise and authentication bypass rather than relying on technical vulnerabilities. While legacy perimeter approaches assume bad content can be identified through signatures and reputation mechanisms, modern attacks demonstrate fundamental architectural gaps.

When threat actors use legitimate, authenticated accounts or bypass email authentication standards, traditional SEGs often struggle to identify these threats through signature-based or reputation-based detection alone, requiring supplementary behavioral analysis and communication pattern monitoring.

The 2026 planning cycle is the year to evaluate whether your email security understands identity, context, and risk, or just scans for known threats. The majority of director-level security leaders using multiple vendors have already concluded that traditional gateways alone cannot address modern attacks.

Building an Email Security Strategy That Scales

Email remains the attack surface connecting every organization to threat actors, and the billions in BEC losses annually confirm the urgency. But the right investment matters more than the size.

Organizations entering 2026 should prioritize solutions that detect behavioral anomalies, deploy without friction, and reduce operational burden. Behavioral AI implementations demonstrate significantly faster breach detection while detecting threats traditional tools miss. Abnormal uses behavioral AI to identify sophisticated attacks like BEC, account takeover, and social engineering that bypass signature-based defenses, while automating manual threat triage and response work that overwhelms security teams. The question is no longer whether to invest in email security; it's whether your current approach addresses how attacks actually work today.

Request a demo to see how Abnormal can enhance your email security strategy for 2026.

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