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GCC AI in Cybersecurity Market

ID: MRFR/ICT/57163-HCR
200 Pages
Aarti Dhapte
October 2025

GCC AI in Cybersecurity Market Research Report By Application (Intrusion Detection, Threat Intelligence, Fraud Detection, Security Analytics, Incident Response), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By End Use (BFSI, Healthcare, Government, Retail, IT and Telecom) and By Technology (Machine Learning, Natural Language Processing, Deep Learning, Neural Networks)- Forecast to 2035

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GCC AI in Cybersecurity Market Summary

As per MRFR analysis, the GCC AI in Cybersecurity Market Size was estimated at 651.7 USD Million in 2024. The GCC AI in Cybersecurity Market is projected to grow from 798.33 USD Million in 2025 to 6072.0 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 22.5% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The GCC AI in-cybersecurity market is poised for substantial growth driven by increasing investments and rising cyber threats.

  • Investment in AI solutions is witnessing a notable surge as organizations prioritize cybersecurity.
  • Regulatory compliance and standards are becoming critical as businesses navigate complex legal landscapes.
  • Collaboration between sectors is enhancing the effectiveness of cybersecurity measures across industries.
  • Rising cyber threats and government initiatives are key drivers propelling the market forward.

Market Size & Forecast

2024 Market Size 651.7 (USD Million)
2035 Market Size 6072.0 (USD Million)
CAGR (2025 - 2035) 22.5%

Major Players

CrowdStrike (US), Palo Alto Networks (US), Darktrace (GB), Fortinet (US), Check Point Software Technologies (IL), IBM (US), Cisco Systems (US), McAfee (US)

GCC AI in Cybersecurity Market Trends

The AI in Cybersecurity market is experiencing notable growth, driven by increasing cyber threats and the need for advanced security solutions. In the GCC region, organizations are increasingly adopting artificial intelligence technologies to enhance their cybersecurity measures. This trend is largely influenced by the rising sophistication of cyberattacks, which necessitates the implementation of proactive defense mechanisms. As businesses and government entities prioritize data protection, investments in ai-driven cybersecurity solutions are becoming more prevalent. The integration of machine learning and automation into security protocols is expected to improve threat detection and response times significantly. Moreover, the regulatory landscape in the GCC is evolving, with governments emphasizing the importance of cybersecurity frameworks. This regulatory push encourages organizations to adopt ai technologies to comply with new standards and safeguard sensitive information. The collaboration between public and private sectors is also fostering innovation in the ai in-cybersecurity market. As a result, the region is likely to witness a surge in the development of tailored solutions that address specific cybersecurity challenges faced by various industries. Overall, the ai in-cybersecurity market is poised for substantial growth, reflecting the urgent need for enhanced security measures in an increasingly digital world.

Increased Investment in AI Solutions

Organizations in the GCC are allocating more resources towards ai technologies to bolster their cybersecurity frameworks. This trend reflects a growing recognition of the need for advanced tools that can effectively combat evolving cyber threats.

Regulatory Compliance and Standards

The introduction of stricter cybersecurity regulations in the GCC is prompting businesses to adopt ai solutions. Compliance with these standards necessitates the integration of sophisticated technologies to protect sensitive data.

Collaboration Between Sectors

There is a noticeable trend of collaboration between government entities and private companies in the GCC to enhance cybersecurity measures. This partnership is fostering innovation and the development of customized ai solutions tailored to regional challenges.

GCC AI in Cybersecurity Market Drivers

Rising Cyber Threats

The escalating frequency and sophistication of cyber threats in the GCC region is a primary driver for the AI in Cybersecurity market. Organizations are increasingly targeted by cybercriminals, leading to substantial financial losses. In 2025, it is estimated that cybercrime could cost businesses in the GCC upwards of $6 billion annually. This alarming trend compels companies to adopt advanced AI-driven cybersecurity solutions to enhance their defenses. The ai in-cybersecurity market is expected to grow as businesses seek to mitigate risks associated with data breaches and ransomware attacks. The urgency to protect sensitive information and maintain customer trust drives investment in AI technologies that can predict, detect, and respond to threats in real-time.

Government Initiatives and Support

Government initiatives aimed at bolstering cybersecurity infrastructure in the GCC are significantly influencing the AI in Cybersecurity market. Various national strategies have been implemented to enhance digital security, including the establishment of cybersecurity frameworks and funding for innovative technologies. For instance, the UAE's National Cybersecurity Strategy emphasizes the importance of AI in combating cyber threats. This governmental support not only encourages private sector investment but also fosters collaboration between public and private entities. As a result, the ai in-cybersecurity market is likely to experience accelerated growth, with increased funding and resources allocated to develop and implement AI solutions that address the unique challenges faced by the region.

Digital Transformation Across Industries

The ongoing digital transformation across various sectors in the GCC is a significant catalyst for the AI in Cybersecurity market. As organizations increasingly adopt digital technologies, the attack surface for cyber threats expands, necessitating advanced security measures. In 2025, it is projected that the digital economy in the GCC will reach $100 billion, further intensifying the need for robust cybersecurity solutions. Companies are recognizing that traditional security measures are insufficient in the face of evolving threats, prompting them to invest in AI-driven cybersecurity solutions. This shift not only enhances security but also enables organizations to leverage data analytics for proactive threat detection and response, thereby driving growth in the ai in-cybersecurity market.

Increased Awareness of Cybersecurity Risks

There is a growing awareness among businesses and consumers in the GCC regarding the risks associated with cyber threats, which is propelling the AI in Cybersecurity market. As high-profile data breaches and cyberattacks make headlines, organizations are compelled to prioritize cybersecurity. This heightened awareness leads to increased demand for AI-based solutions that can provide comprehensive protection against potential threats. In 2025, it is estimated that 70% of businesses in the GCC will have implemented AI-driven cybersecurity measures as part of their risk management strategies. This trend indicates a shift in mindset, where cybersecurity is viewed as a critical component of business operations, further driving the growth of the ai in-cybersecurity market.

Integration of AI with Existing Security Systems

The integration of AI technologies with existing security systems is emerging as a crucial driver for the AI in Cybersecurity market. Organizations in the GCC are increasingly seeking solutions that can enhance their current security frameworks without necessitating a complete overhaul. AI can augment traditional security measures by providing advanced analytics, threat intelligence, and automated responses. This integration allows for a more efficient allocation of resources and improved incident response times. As businesses recognize the value of AI in enhancing their cybersecurity posture, the ai in-cybersecurity market is likely to witness substantial growth. In 2025, it is anticipated that the adoption of AI-enhanced security systems will increase by 50%, reflecting the demand for innovative solutions that complement existing infrastructures.

Market Segment Insights

By Application: Intrusion Detection (Largest) vs. Threat Intelligence (Fastest-Growing)

In the GCC AI in Cybersecurity market, the application segment remains diverse, with notable contributions from Intrusion Detection and Threat Intelligence solutions. Intrusion Detection has established itself as the largest segment, owing to its critical role in identifying breaches and vulnerabilities. In contrast, Threat Intelligence is gaining traction, reflecting a significant shift towards proactive defense strategies that leverage big data analytics. The growth dynamics within the application segment are driven by an increasing demand for robust cybersecurity frameworks amid rising cyber threats. Businesses are prioritizing solutions like Fraud Detection and Security Analytics to ensure the integrity of their systems. As cyber risks evolve, the emphasis on Incident Response is also rising, demonstrating a holistic approach to cybersecurity that combines both readiness and rapid recovery.

Intrusion Detection (Dominant) vs. Fraud Detection (Emerging)

Intrusion Detection serves as the dominant application within the GCC ai in-cybersecurity market, characterized by its ability to monitor network traffic for suspicious activity. This technology empowers organizations to quickly identify and respond to intrusions, thus minimizing potential damage. On the other hand, Fraud Detection is emerging as a vital application, utilizing AI algorithms to detect anomalous behavior indicative of fraud in various sectors, including finance and e-commerce. As reliance on digital platforms increases, the demand for advanced Fraud Detection tools is expected to climb, driving innovation and competitive differentiation. Both segments are crucial in fostering secure environments, albeit with different focal points within the cybersecurity strategy.

By Deployment Mode: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

In the GCC AI in Cybersecurity market, the deployment mode segment showcases a competitive landscape between cloud-based, on-premises, and hybrid solutions. Cloud-based solutions hold the largest market share, driven by their scalability, cost-effectiveness, and ease of deployment. On-premises solutions, while generally less favored, are gaining traction due to increased concerns over data privacy and regulatory compliance, providing organizations with the ability to control their cybersecurity infrastructures more effectively. The growth trends in this segment indicate a significant shift towards hybrid deployment models, merging the benefits of both cloud and on-premises solutions. This shift is largely driven by organizations seeking to enhance their cybersecurity posture, optimize resource utilization, and maintain compliance with industry regulations. As more businesses adopt AI-driven security measures, the on-premises segment is expected to grow fastest as companies look to integrate these advanced technologies into their existing infrastructures.

Cloud-Based (Dominant) vs. On-Premises (Emerging)

Cloud-based solutions thrive on their flexibility and adaptability, making them the dominant choice in the GCC ai in-cybersecurity market. These offerings provide quicker deployment times and the latest security features, allowing organizations to stay ahead of potential threats. Additionally, their usage of advanced analytics and machine learning enables proactive threat detection. On the other hand, on-premises solutions are emerging as businesses prioritize data sovereignty and regulatory compliance. This segment is characterized by a gradual transition from traditional systems to more sophisticated on-premises models, enabling organizations to harness the benefits of AI while retaining full control over their cybersecurity environments.

By End Use: Banking, Financial Services and Insurance (Largest) vs. Retail (Fastest-Growing)

The GCC AI in Cybersecurity market showcases a diverse range of end use segments, with Banking, Financial Services and Insurance (BFSI) holding the largest share. This sector benefits from substantial investments in advanced cybersecurity measures, driven by the increasing incidence of cyber threats and regulatory pressures. Following closely are sectors such as Healthcare and IT and Telecom, each making significant strides in adopting AI-powered cybersecurity solutions to safeguard sensitive data. The Retail sector, while smaller in market share, is rapidly expanding its cybersecurity capabilities in response to increasing e-commerce activities and online transactions. Growth trends within the GCC ai in-cybersecurity market are being propelled by the rising awareness of digital vulnerabilities across all sectors, particularly in BFSI, which faces unique challenges due to its data-rich environment. The advent of innovative AI solutions enables quicker threat detection and response, crucial for safeguarding customer data. Moreover, government initiatives promoting cybersecurity awareness and investment are fostering a conducive environment for all segments, especially the emerging sectors like Retail, which are increasingly prioritizing security in their digital transformation journeys.

BFSI (Dominant) vs. Retail (Emerging)

The BFSI segment commands a dominant position in the GCC ai in-cybersecurity market, characterized by its substantial investment in comprehensive cybersecurity frameworks to protect the vast amount of sensitive financial data. Driven by regulatory compliance and the need for robust data protection, this sector employs sophisticated AI technologies for threat detection and incident response. In contrast, the Retail sector is emerging rapidly, driven by a surge in online sales and digital payment adoption. Retailers are increasingly recognizing the importance of cybersecurity in maintaining customer trust and ensuring transaction security. This sector's growth is fueled by innovative solutions tailored to protect against e-commerce threats, making it a critical focus area for future investments.

By Technology: Machine Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

The GCC AI in Cybersecurity market showcases a diversified distribution of market share among key technological segments. Machine Learning currently holds the largest share, leveraging its established capabilities in threat detection and response. In contrast, Natural Language Processing is rapidly gaining traction as organizations increasingly adopt AI-driven communication tools for enhanced security against phishing and social engineering attacks. Growth trends in the GCC ai in-cybersecurity market indicate a robust rise in investments towards innovative technologies such as Deep Learning and Neural Networks. These advancements are driven by the escalating need for sophisticated cybersecurity measures amidst rising cyber threats. Additionally, increased awareness and integration of AI solutions in enterprise security frameworks further propel the market’s expansion, positioning it for significant growth in the coming years.

Technology: Machine Learning (Dominant) vs. Natural Language Processing (Emerging)

Machine Learning is the dominant force within the GCC ai in-cybersecurity market, known for its robust algorithms that enhance predictive analytics and threat intelligence capabilities. Its widespread adoption stems from its proven effectiveness in identifying anomalies and streamlining data management processes. On the other hand, Natural Language Processing represents an emerging technology poised to transform cybersecurity practices through its ability to process human language data and detect fraudulent activities. As more organizations look to improve their communication security and automate response mechanisms, Natural Language Processing is positioning itself as an invaluable asset, showcasing impressive growth potential alongside other advanced technologies in the sector.

Get more detailed insights about GCC AI in Cybersecurity Market

Key Players and Competitive Insights

The ai in-cybersecurity market is currently characterized by intense competition and rapid innovation, driven by the increasing sophistication of cyber threats and the growing demand for advanced security solutions. Major players such as CrowdStrike (US), Palo Alto Networks (US), and Darktrace (GB) are strategically positioning themselves through a combination of technological advancements, partnerships, and regional expansions. These companies are not only enhancing their product offerings but are also focusing on integrating AI capabilities to improve threat detection and response times, thereby shaping a competitive landscape that emphasizes agility and innovation.

In terms of business tactics, companies are increasingly localizing their operations to better serve regional markets, optimizing supply chains to enhance efficiency, and investing in research and development to stay ahead of emerging threats. The market appears moderately fragmented, with a mix of established players and emerging startups, each contributing to a dynamic competitive structure. The collective influence of these key players is significant, as they drive trends and set benchmarks for performance and innovation in the sector.

In October 2025, CrowdStrike (US) announced a strategic partnership with a leading telecommunications provider to enhance its threat intelligence capabilities. This collaboration is expected to leverage the telecom's extensive data analytics infrastructure, allowing CrowdStrike to offer more robust and real-time cybersecurity solutions. The strategic importance of this partnership lies in its potential to expand CrowdStrike's market reach and improve its service offerings, thereby reinforcing its competitive position in the ai in-cybersecurity market.

In September 2025, Palo Alto Networks (US) launched a new AI-driven security platform aimed at small and medium-sized enterprises (SMEs). This initiative reflects a strategic focus on democratizing access to advanced cybersecurity solutions, which could significantly increase Palo Alto's customer base. By tailoring its offerings to meet the specific needs of SMEs, the company is likely to enhance its market penetration and foster long-term customer loyalty.

In August 2025, Darktrace (GB) unveiled a groundbreaking AI model designed to autonomously respond to cyber threats in real-time. This innovation underscores Darktrace's commitment to leading the market in AI-driven cybersecurity solutions. The strategic importance of this development is profound, as it positions Darktrace as a frontrunner in the race to provide autonomous security solutions, potentially reshaping customer expectations and industry standards.

As of November 2025, the competitive trends in the ai in-cybersecurity market are increasingly defined by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are playing a crucial role in shaping the current landscape, enabling companies to pool resources and expertise to tackle complex cybersecurity challenges. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition to a focus on innovation, technological advancement, and supply chain reliability, as companies strive to offer unique value propositions in an ever-evolving threat landscape.

Key Companies in the GCC AI in Cybersecurity Market market include

Industry Developments

The GCC AI in Cybersecurity Market has witnessed significant developments in recent months, particularly with increased investments from major players such as Microsoft, Cisco Systems, and Palo Alto Networks, reflecting the region's priority in advancing cybersecurity measures. In September 2023, Microsoft announced an expansion of its security capabilities in the GCC with new AI-driven solutions designed to enhance digital protection for businesses. Concurrently, Darktrace launched its cybersecurity platform in the UAE, utilizing AI for threat detection.

In terms of mergers and acquisitions, Cisco Systems announced its acquisition of a cybersecurity firm in August 2023, aimed at bolstering its offerings within the region. 

Growth in this market is attributed to heightened awareness of cyber threats spurred by increasing digitalization across various sectors in the GCC, particularly in Saudi Arabia and the UAE. The demand for AI-powered cybersecurity solutions is expected to surge as organizations prioritize robust security frameworks to combat sophisticated cyber threats. Notable market valuation growth in recent years, particularly since 2021, demonstrates a rising optimism in the sector, supported by government initiatives aimed at enhancing cybersecurity infrastructure throughout the Gulf states.

Future Outlook

GCC AI in Cybersecurity Market Future Outlook

The ai in-cybersecurity market is projected to grow at a 22.5% CAGR from 2024 to 2035, driven by increasing cyber threats, regulatory compliance, and technological advancements.

New opportunities lie in:

  • Development of AI-driven threat intelligence platforms for real-time risk assessment.
  • Integration of AI solutions in existing cybersecurity frameworks for enhanced protection.
  • Creation of subscription-based AI cybersecurity services for SMEs to ensure affordability.

By 2035, the market is expected to be robust, driven by innovation and increasing demand for cybersecurity solutions.

Market Segmentation

GCC AI in Cybersecurity Market End Use Outlook

  • BFSI
  • Healthcare
  • Government
  • Retail
  • IT and Telecom

GCC AI in Cybersecurity Market Technology Outlook

  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Neural Networks

GCC AI in Cybersecurity Market Application Outlook

  • Intrusion Detection
  • Threat Intelligence
  • Fraud Detection
  • Security Analytics
  • Incident Response

GCC AI in Cybersecurity Market Deployment Mode Outlook

  • Cloud-Based
  • On-Premises
  • Hybrid

Report Scope

MARKET SIZE 2024651.7(USD Million)
MARKET SIZE 2025798.33(USD Million)
MARKET SIZE 20356072.0(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR)22.5% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Million
Key Companies Profiled["CrowdStrike (US)", "Palo Alto Networks (US)", "Darktrace (GB)", "Fortinet (US)", "Check Point Software Technologies (IL)", "IBM (US)", "Cisco Systems (US)", "McAfee (US)"]
Segments CoveredApplication, Deployment Mode, End Use, Technology
Key Market OpportunitiesIntegration of advanced machine learning algorithms enhances threat detection and response capabilities in the ai in-cybersecurity market.
Key Market DynamicsRising demand for advanced threat detection drives innovation in the ai in-cybersecurity market.
Countries CoveredGCC

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FAQs

What is the expected market size of the GCC AI in Cybersecurity Market in 2024?

The expected market size of the GCC AI in Cybersecurity Market in 2024 is 445.2 million USD.

What is the projected market size for the GCC AI in Cybersecurity Market by 2035?

The projected market size for the GCC AI in Cybersecurity Market by 2035 is 1778.0 million USD.

What is the expected compound annual growth rate (CAGR) for the GCC AI in Cybersecurity Market from 2025 to 2035?

The expected CAGR for the GCC AI in Cybersecurity Market from 2025 to 2035 is 13.415%.

Which application segment is expected to have the highest market size in 2035 within the GCC AI in Cybersecurity Market?

The intrusion detection application segment is expected to have the highest market size at 450.0 million USD in 2035.

What market size is projected for the threat intelligence application in the GCC AI in Cybersecurity Market by 2035?

The threat intelligence application is projected to reach a market size of 360.0 million USD by 2035.

What is the anticipated market size for fraud detection in the GCC AI in Cybersecurity Market in 2035?

The anticipated market size for fraud detection is 340.0 million USD in 2035.

Who are the key players in the GCC AI in Cybersecurity Market?

Key players in the GCC AI in Cybersecurity Market include Microsoft, Cisco Systems, Darktrace, and Palo Alto Networks among others.

What is the expected value of the incident response application segment in the GCC AI in Cybersecurity Market for 2024?

The expected value of the incident response application segment in 2024 is 90.2 million USD.

How much is the security analytics segment projected to be worth in 2035 within the GCC AI in Cybersecurity Market?

The security analytics segment is projected to be worth 280.0 million USD in 2035.

What are some emerging trends and opportunities in the GCC AI in Cybersecurity Market?

Emerging trends include the increasing adoption of AI for threat detection and enhanced security analytics capabilities.

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