PUBLISHER: TechSci Research | PRODUCT CODE: 1785362
PUBLISHER: TechSci Research | PRODUCT CODE: 1785362
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Global Phishing Protection Market was valued at USD 2.68 Billion in 2024 and is expected to reach USD 6.04 Billion by 2030 with a CAGR of 14.50% through 2030. Phishing protection refers to a range of cybersecurity solutions, tools, and strategies designed to detect, prevent, and respond to phishing attacks-malicious attempts to steal sensitive information by impersonating trusted entities.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 2.68 Billion |
Market Size 2030 | USD 6.04 Billion |
CAGR 2025-2030 | 14.50% |
Fastest Growing Segment | IT & ITES |
Largest Market | North America |
These attacks often come through emails, text messages, fake websites, or social media, tricking users into revealing credentials, financial data, or other confidential information. The Global Phishing Protection Market comprises technologies such as email filtering, multi-factor authentication, browser security, domain monitoring, machine learning-based threat detection, and real-time alerting systems. These solutions are essential in mitigating social engineering risks that target employees, customers, and executives across digital ecosystems.
The market is witnessing rapid growth due to the rising frequency, complexity, and success rates of phishing attacks globally. The shift to cloud computing, mobile access, and hybrid work environments has expanded the attack surface, making traditional perimeter-based security models less effective. Cybercriminals are now using more personalized and AI-driven phishing campaigns, increasing their ability to bypass legacy security filters. In response, organizations are adopting next-generation phishing protection solutions that leverage behavioral analytics, real-time threat intelligence, and automation to identify threats before users engage with malicious content. These tools not only block threats but also enhance user awareness through training and simulation programs, creating a multi-layered defense model.
Key Market Drivers
Surge in Phishing Attacks Across Communication Channels
The continuous increase in phishing attacks across email, messaging apps, social media, and mobile platforms has become a major catalyst for the growth of the Global Phishing Protection Market. Unlike the earlier days when phishing was primarily limited to emails, cybercriminals now exploit multiple communication vectors-targeting users through SMS, social media impersonation, collaboration tools, and even QR code redirection. These channels are often less regulated and harder to monitor, creating critical vulnerabilities for businesses. Organizations can no longer rely solely on basic email filters; instead, they require comprehensive, multi-layered phishing protection tools that provide broad coverage across digital platforms.
This expanded threat surface has made phishing protection a strategic priority for enterprises of all sizes. Businesses are investing in tools that integrate behavioral analytics, URL filtering, real-time scanning, and automated remediation across devices and communication methods. The ability to detect phishing attempts early-before the user even interacts with them-has become vital for avoiding credential theft, data breaches, and financial loss. As attackers diversify their methods, demand for adaptive, real-time phishing protection systems is growing rapidly. In 2024, more than one-third of all phishing incidents originated outside of email-through SMS, social media platforms, collaboration apps, and QR codes. This diversification of attack vectors underscores the need for organizations to expand their security measures beyond traditional email filters and adopt multi-channel phishing protection strategies to effectively mitigate rising cyber threats.
Key Market Challenges
Evolving Tactics and Sophistication of Phishing Attacks
One of the most significant challenges in the Global Phishing Protection Market is the constantly evolving nature and increasing sophistication of phishing attacks. Cybercriminals no longer rely on generic mass emails; instead, they are leveraging artificial intelligence, machine learning, and advanced social engineering techniques to create highly personalized and targeted attacks. These include spear-phishing, whaling, clone phishing, and business email compromise, all of which exploit trust relationships and psychological triggers. Attackers are crafting messages that closely mimic legitimate communications from known entities such as financial institutions, technology providers, or even internal executives, making it extremely difficult for employees and legacy security systems to detect threats in real-time.
Furthermore, phishing vectors are expanding beyond traditional email platforms into messaging apps, social media, collaborative tools, and mobile-based communication. With the increasing adoption of decentralized work environments and cloud-based operations, organizations are exposed to a broader and more complex attack surface. These diverse platforms often lack consistent monitoring and policy enforcement, creating gaps in visibility and response. As phishing tactics grow more intricate and multi-channel in nature, traditional reactive approaches are proving insufficient. This necessitates continuous updates to threat detection engines, integration of behavioral analytics, and deployment of artificial intelligence-driven threat intelligence. However, maintaining this level of technological and strategic adaptability presents a formidable operational and financial burden, particularly for mid-sized enterprises and resource-constrained sectors.
Key Market Trends
Integration of Artificial Intelligence and Machine Learning in Threat Detection
Artificial intelligence and machine learning are becoming integral components of phishing protection platforms as organizations seek to counter increasingly sophisticated and evasive phishing attacks. These technologies enable real-time analysis of behavioral patterns, communication context, metadata, and historical threat indicators to detect anomalies that may indicate phishing attempts. Unlike traditional signature-based systems, artificial intelligence-driven models continuously learn from new data, allowing them to identify zero-day phishing tactics and contextually deceptive content with greater accuracy and speed.
The adoption of these technologies is reshaping phishing protection strategies across enterprises, especially in sectors with high exposure to targeted attacks such as financial services, healthcare, and technology. Artificial intelligence-powered tools can evaluate hundreds of variables in milliseconds, determine the legitimacy of a message, and trigger automatic alerts or block malicious content before it reaches the end user. This proactive and adaptive defense significantly reduces the window of vulnerability and improves response times. As attackers increasingly use generative artificial intelligence to craft believable content, the countermeasure will increasingly rely on artificial intelligence-powered defensive layers embedded within broader cybersecurity ecosystems.
In this report, the Global Phishing Protection Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Phishing Protection Market.
Global Phishing Protection Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: