AI Security Market Set to Reach $4.8 Billion by 2027 as Cyber Threats Intensify

AI security market to hit $4.8 billion in 2027, grow 68.7%: Report

The AI security market is projected to reach nearly $4.8 billion by 2027. This sector is set for rapid growth as enterprises increase investments in AI technology. New vulnerabilities are emerging from AI models and supply-chain attacks, requiring specialised tools. AI application security and usage control are expected to see substantial spending increases. The market for securing artificial intelligence (AI) systems is projected to reach nearly $4.8 billion by 2027 and is expected to nearly double to $7.7 billion by 2028, according to Gartner. The sector is set for rapid growth as enterprises ramp up investments in the technology while facing a new wave of cyber threats, the research firm said. The growing adoption of AI is creating new vulnerabilities for businesses, including risks linked to AI models, third-party software, open-source components and supply-chain attacks. "This surge is driven by the urgent need for enterprises to secure AI systems, address emerging vulnerabilities and strengthen defenses against sophisticated cyberthreats," said Shailendra Upadhyay, senior principal analyst at Gartner. Also Read: AI could become a new revenue engine for Indian telecom companies: Survey Gartner expects more than half of successful cyberattacks targeting AI agents by 2029 to exploit weaknesses in access controls and prompt injections. This is likely to push companies to deploy specialised tools to identify, monitor and protect AI systems, alongside their existing cybersecurity infrastructure. "Traditional security tools often treat AI applications like any other software and need significant updates to address AI-specific threats," Upadhyay said. The market is broadly divided into four segments: AI application security, AI usage control, AI governance platforms and AI gateways. Add image AI application security is expected to remain the largest spending category in 2027, reaching nearly $851 million, followed by AI usage control at $749 million. However, AI usage control is forecast to be the fastest-growing segment, expanding 73%, while spending on AI gateways is expected to grow 70.9%. The growth comes as enterprises increasingly deploy autonomous AI systems, which can introduce vulnerabilities that conventional security monitoring may not detect. "As defenses like AI runtime protection and dedicated gateways become more reliable, organisations will gain confidence in these tools, accelerating adoption," Upadhyay said. Also Read: India's AI data-centre push could drive 5% of global chip demand by 2030 Competition in the market is also expected to intensify. Gartner said established vendors are likely to retain their advantage in AI governance platforms and gateways by adding AI capabilities to existing enterprise products. Meanwhile, AI application security and AI usage control are attracting a growing number of startups. The rapid expansion of the market could also trigger consolidation, with larger cybersecurity companies likely to acquire startups to expand their AI security offerings, Gartner said.

Gartner Forecasts Securing AI Market to Hit $4.8 Billion by 2027

AI Application Security to Remain the Largest AI Security Spending Category in 2027 The market for securing AI is growing rapidly, projected to reach almost $4.8 billion in 2027, a 68.7% increase over 2026, according to Gartner, Inc., a business and technology insights company. By 2028, the market is forecast to reach almost $7.7 billion. "This surge is driven by the urgent need for enterprises to secure AI systems, address emerging vulnerabilities and strengthen defenses against sophisticated cyberthreats," said Shailendra Upadhyay, Senior Principal Analyst at Gartner. "This is compounded by growing vulnerabilities and supply chain attacks involving third-party and open-source software in AI projects. Without adequate security and visibility controls, enterprise AI initiatives face a high risk of failure." Gartner predicts over half of successful cyberattacks on AI agents are expected to exploit access control weaknesses and prompt injections by 2029. There is a growing need for organizations to identify, monitor and protect AI models from these unique threats, which is driving the adoption of advanced AI security solutions. To build a strong defense, businesses need to combine their existing security systems with specialized AI security tools. "Traditional security tools often treat AI applications like any other software and need significant updates to address AI-specific threats," said Upadhyay. "Specialized solutions, such as AI usage control and application security, will see rapid growth as solutions that address these challenges." The market for securing AI is divided into four main areas: AI application security, AI usage control, AI governance platforms, and AI gateways. This includes a range of software and platforms designed to help organizations use AI safely, responsibly, and in line with regulations. AI application security will remain the largest spending category in 2027, forecast to reach almost $851 million, followed by AI usage control at $749 million. However, AI usage control will experience the largest growth of 73%, followed by AI gateway at 70.9% (see Table 1). Table 1: Securing AI Opportunity by Segment (Millions of U.S. Dollars), 2026-2027 Segment 2026 Spending 2026 Growth (%) 2027 Spending 2027 Growth (%) AI Application Security 508 82.1 851 67.5 AI Usage Control 433 86.6 749 73.0 AI Governance Platforms 275 77.4 462 68.0 AI Gateway 251 80.6 429 70.9 Other Securing AI 1,368 83.9 2,292 67.5 Total 2,835 83.0 4,783 68.7 Source: Gartner (August 2026) "As defenses like AI runtime protection and dedicated gateways become more reliable, organizations will gain confidence in these tools, accelerating adoption," said Upadhyay. "At the same time, as businesses expand their AI initiatives, the need for specialized AI security solutions will further grow, especially as autonomous AI introduces new vulnerabilities beyond the reach of traditional monitoring." Market Competition According to Gartner, competition in the securing AI market varies depending on the segment. For AI governance platforms and AI gateways, which often build on existing enterprise systems for governance, data, and API management, major vendors are likely to maintain their lead by adding AI features or integrating specialized products. On the other hand, the AI application security and AI usage control segments are seeing a wave of startups entering the field. "As the market grows, we can expect increased consolidation and acquisitions, with larger cybersecurity companies buying these startups to broaden their offerings," said Upadhyay. "Overall, the fast-paced growth in this space is fueling intense competition among vendors as they vie for market share."