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GCC Applied AI in Cybersecurity Market

ID: MRFR/ICT/57132-HCR
200 Pages
Aarti Dhapte
October 2025

GCC Applied AI In Cybersecurity Market Research Report By Organization Size (SMEs, Large Enterprise) and By Security Type (Network Security, Endpoint Security, Application Security, Cloud Security, ICS Security, IoT Security, Identity and Access Management, Risk and Compliance Management, Data Loss Prevention, Unified Threat Management, Security and Vulnerability Management, Antivirus/Antimalware, Fraud Detection, Intrusion Detection/Prevention System, Threat Intelligence, Others)- Forecast to 2035

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Summary Table of Contents Segmentation Download PDF

GCC Applied AI in Cybersecurity Market Summary

As per MRFR analysis, the GCC applied ai-in-cybersecurity market Size was estimated at 68.49 USD Million in 2024. The GCC applied ai-in-cybersecurity market industry is projected to grow from 85.26 USD Million in 2025 to 761.4 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 24.48% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The GCC applied AI-in-cybersecurity market is experiencing robust growth driven by technological advancements and increasing cyber threats.

  • Investment in AI technologies is surging as organizations seek to enhance their cybersecurity frameworks.
  • The largest segment in this market is the automated security solutions, while the fastest-growing segment is real-time threat detection.
  • Regulatory support for AI integration is fostering a conducive environment for innovation and deployment.
  • The rising cyber threat landscape and growing awareness of cybersecurity risks are key drivers propelling market expansion.

Market Size & Forecast

2024 Market Size 68.49 (USD Million)
2035 Market Size 761.4 (USD Million)
CAGR (2025 - 2035) 24.48%

Major Players

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

GCC Applied AI in Cybersecurity Market Trends

The applied ai-in-cybersecurity market is currently experiencing a notable transformation, driven by the increasing sophistication of cyber threats and the growing reliance on digital infrastructure across various sectors. In the GCC region, organizations are increasingly adopting artificial intelligence technologies to enhance their cybersecurity measures. This shift is largely influenced by the need for real-time threat detection and response capabilities, which traditional security measures often struggle to provide. As a result, businesses are investing in advanced AI solutions that can analyze vast amounts of data, identify anomalies, and predict potential security breaches. This trend indicates a significant evolution in how cybersecurity is approached, moving towards more proactive and intelligent systems. Moreover, the regulatory landscape in the GCC is evolving to support the integration of AI in cybersecurity. Governments are recognizing the importance of safeguarding critical infrastructure and sensitive data, leading to the establishment of frameworks that encourage the adoption of innovative technologies. This regulatory support, combined with the increasing awareness of cyber risks among organizations, is likely to further propel the applied ai-in-cybersecurity market. As companies seek to comply with new regulations and protect their assets, the demand for AI-driven cybersecurity solutions is expected to grow, fostering a more secure digital environment in the region.

Increased Investment in AI Technologies

Organizations are channeling resources into advanced AI technologies to bolster their cybersecurity frameworks. This trend reflects a broader recognition of the limitations of traditional security measures in addressing modern threats. By leveraging AI, businesses aim to enhance their threat detection and response capabilities, ultimately leading to a more resilient cybersecurity posture.

Regulatory Support for AI Integration

The regulatory environment in the GCC is adapting to facilitate the integration of AI into cybersecurity practices. Governments are implementing policies that promote the use of innovative technologies to protect critical infrastructure. This regulatory backing is likely to encourage organizations to adopt AI-driven solutions, thereby enhancing overall security.

Focus on Real-Time Threat Detection

There is a growing emphasis on real-time threat detection within the applied ai-in-cybersecurity market. Organizations are increasingly seeking solutions that provide immediate insights into potential security breaches. This focus on real-time capabilities is indicative of a shift towards more proactive cybersecurity strategies, where timely responses can mitigate risks effectively.

GCC Applied AI in Cybersecurity Market Drivers

Rising Cyber Threat Landscape

The increasing sophistication of cyber threats in the GCC region is a primary driver for the applied ai-in-cybersecurity market. As organizations face a surge in cyberattacks, including ransomware and phishing, the demand for advanced security solutions is escalating. Reports indicate that cybercrime costs in the GCC could reach $1.5 billion by 2025, prompting businesses to invest in AI-driven cybersecurity measures. This trend highlights the necessity for proactive threat detection and response capabilities, which AI technologies can provide. Consequently, organizations are increasingly adopting AI solutions to enhance their security posture, thereby driving growth in the applied ai-in-cybersecurity market.

Government Initiatives and Funding

Government initiatives aimed at bolstering cybersecurity infrastructure in the GCC are significantly influencing the applied ai-in-cybersecurity market. Various governments are allocating substantial budgets to enhance national cybersecurity frameworks, with investments projected to exceed $2 billion by 2026. These initiatives often include funding for research and development in AI technologies, fostering innovation in cybersecurity solutions. Additionally, public-private partnerships are emerging, encouraging collaboration between government entities and tech companies. This supportive environment is likely to accelerate the adoption of AI-driven cybersecurity solutions, thereby propelling the growth of the applied ai-in-cybersecurity market.

Demand for Automated Security Solutions

The growing demand for automated security solutions is significantly impacting the applied ai-in-cybersecurity market. Organizations are seeking to streamline their security operations and reduce the burden on human resources. Automation powered by AI can enhance efficiency, allowing for quicker threat detection and response times. In the GCC, businesses are increasingly adopting automated solutions to manage the complexities of cybersecurity, with a projected market growth of 25% in automated AI-driven security tools by 2026. This trend reflects a broader shift towards leveraging technology to address security challenges, thereby driving the applied ai-in-cybersecurity market forward.

Growing Awareness of Cybersecurity Risks

There is a notable increase in awareness regarding cybersecurity risks among businesses in the GCC, which is driving the applied ai-in-cybersecurity market. Organizations are recognizing the potential financial and reputational damage that cyber incidents can inflict. As a result, many are prioritizing cybersecurity investments, with a reported 40% increase in budgets allocated to security measures in 2025. This heightened awareness is leading to a greater demand for AI-based solutions that can provide real-time threat analysis and automated responses. Consequently, the applied ai-in-cybersecurity market is experiencing robust growth as companies seek to mitigate risks through advanced technologies.

Integration of AI with Existing Security Systems

The integration of AI technologies with existing cybersecurity systems is emerging as a crucial driver for the applied ai-in-cybersecurity market. Organizations in the GCC are increasingly looking to enhance their current security frameworks by incorporating AI capabilities. This integration allows for improved threat detection, incident response, and overall security management. As businesses strive for a more comprehensive security posture, the demand for AI-enhanced solutions is expected to rise. Reports suggest that the market for integrated AI cybersecurity solutions could grow by 30% annually, indicating a strong trend towards the adoption of AI technologies in existing security infrastructures.

Market Segment Insights

By Organization Size: Large Enterprise (Largest) vs. SMEs (Fastest-Growing)

In the GCC applied ai-in-cybersecurity market, the market share distribution currently favors large enterprises, which dominate the landscape due to their extensive resources and investment capabilities. Large enterprises leverage advanced cybersecurity measures, leading to a significant share of the overall market. Conversely, small and medium enterprises (SMEs) are increasingly adopting AI-driven cybersecurity solutions, representing a rapidly growing segment as they recognize the urgent need for enhanced security protocols. The growth trends in this segment indicate a marked shift towards AI adoption among SMEs, spurred by the increasing frequency of cyber threats and the need for effective defense strategies. As SMEs embrace scalable and cost-effective cybersecurity solutions, they drive innovation and demand within the market, signaling a trend towards a more democratized approach to cybersecurity technology that was once predominantly accessed by larger corporations.

Large Enterprises: Dominant vs. SMEs: Emerging

Large enterprises in the GCC applied ai-in-cybersecurity market are characterized by their substantial resource allocation towards sophisticated cybersecurity frameworks, making them pivotal in shaping the market dynamics. They often have dedicated cybersecurity teams and the financial backing necessary to implement cutting-edge technologies. In contrast, SMEs are emerging as a key player in this landscape, driven by the need for comprehensive protection against increasing cyber threats. This segment is gaining traction due to its agility and adaptability, allowing them to implement AI innovations rapidly. As these smaller organizations recognize the importance of cybersecurity, they are investing in tailored solutions, thus fostering a competitive environment that benefits the overall market.

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

In the GCC applied ai-in-cybersecurity market, the deployment type segment is dominated by Cloud solutions, showcasing a significant share owing to their flexibility and scalability. On Premises solutions, while smaller in share, have been gaining traction as organizations prioritize control and data security in response to increasing cyber threats. This distribution reflects a clear preference among enterprises leaning towards cloud capabilities while not entirely abandoning traditional infrastructure. The growth trends highlight a robust shift towards Cloud deployment, driven by rising investments in cybersecurity measures and the urgency to adapt to evolving threats. On Premises is emerging as a compelling option for industries with stringent compliance requirements or where sensitive data management is paramount. As a result, businesses are increasingly adopting a hybrid model that combines both approaches to leverage the strengths of each deployment type.

Cloud (Dominant) vs. On Premises (Emerging)

Cloud deployment in the GCC applied ai-in-cybersecurity market is characterized by its ability to offer scalable and cost-effective solutions, making it the choice for many businesses looking to enhance their cybersecurity posture. The flexibility of cloud services allows organizations to quickly adapt to changing cybersecurity needs without significant upfront investment. In contrast, On Premises solutions are classified as emerging, driven by organizations that demand more control over their data and environments. This mode of deployment is becoming increasingly relevant for sectors like finance and healthcare that require stringent compliance and security measures. Customers favoring on-premises solutions are often motivated by a need for customized security protocols and the ability to manage their infrastructure directly.

By Security Type: Network Security (Largest) vs. Endpoint Security (Fastest-Growing)

In the GCC applied ai-in-cybersecurity market, the security type segment reveals substantial differentiation among various values. Network Security stands out as the largest segment, reflecting a significant share of market interest and investment from businesses looking to fortify their perimeters against external threats. Endpoint Security is rapidly gaining traction as organizations increasingly prioritize protection at individual devices, contributing to a growing share as more enterprises recognize the importance of securing endpoints for comprehensive security strategies. The growth trends in this segment are noteworthy, especially with Endpoint Security becoming the fastest-growing category as cyber threats evolve. The drive for digitization, remote work culture, and the rise of sophisticated cyber threats are propelling this segment's growth. Additionally, advancements in AI technology facilitate smarter, more responsive security measures, further attracting investment and interest towards these solutions in the region.

Network Security (Dominant) vs. Endpoint Security (Emerging)

Network Security is characterized by a robust framework designed to protect integrity, confidentiality, and availability of data traversing through networks. It dominates the GCC applied ai-in-cybersecurity market due to the heightened demand for secure communication channels amidst escalating cyber threats. In contrast, Endpoint Security is emerging as a critical focal point, helping businesses secure all endpoint devices such as laptops, smartphones, and servers. The rising use of BYOD policies and remote work solutions underpins the necessity for robust endpoint protection, reflecting its growing relevance in integrated security strategies. While Network Security continues to serve as the backbone for organizational security, Endpoint Security’s adaptability and responsiveness to emerging threats are making it vital for modern cybersecurity architectures.

By Application: Identity and Access Management (Largest) vs. Threat Intelligence (Fastest-Growing)

The GCC applied ai-in-cybersecurity market exhibits a diverse range of application segments, with Identity and Access Management holding the largest share, dominating the landscape due to increasing emphasis on secure and efficient user authentication methods. Other notable segments include Risk and Compliance Management and Unified Threat Management, which follow suit in terms of market presence, reflecting organizations' growing need for comprehensive security frameworks. In terms of growth trends, Threat Intelligence stands out as the fastest-growing segment, driven by the need for proactive threat detection methods and real-time data analytics. The surge in cyber threats escalates the demand for advanced solutions in Fraud Detection, Antivirus, and Data Loss Prevention, indicating a shift towards more integrated and sophisticated cybersecurity measures that leverage AI technologies across various applications.

Identity and Access Management (Dominant) vs. Threat Intelligence (Emerging)

Identity and Access Management (IAM) serves as a critical pillar in the cybersecurity framework, facilitating secure user access and identity verification. Its dominance in the GCC applied ai-in-cybersecurity market is reinforced by increasing regulatory requirements and the need for robust authentication mechanisms. Conversely, Threat Intelligence is an emerging segment that is quickly gaining traction, favored for its ability to provide organizations with actionable insights into potential threats and vulnerabilities. Businesses are recognizing the importance of leveraging AI and machine learning algorithms to analyze data trends, which propels the growth of this segment, making it an essential component of a proactive cybersecurity strategy.

By End User: BFSI (Largest) vs. Healthcare (Fastest-Growing)

The GCC applied ai-in-cybersecurity market exhibits a distinct market share distribution across various end-user segments. The BFSI sector holds the largest share, leveraging advanced cybersecurity solutions to protect sensitive financial data and ensure compliance with stringent regulations. Following closely, the Government & Defense sectors also command a significant presence, driven by the need for enhanced national security and data protection. Retail and Healthcare are emerging as notable contributors, with varying growth trajectories influenced by their unique operational challenges. Growth trends within the GCC applied ai-in-cybersecurity market are primarily shaped by increasing cyber threats and the need for robust defense mechanisms. The BFSI sector continues to expand its investments in advanced cybersecurity applications. On the other hand, the Healthcare sector, fueled by a digital transformation wave, is witnessing the fastest growth. Emerging technologies like machine learning and AI are becoming essential tools in these sectors, challenging traditional security protocols and enhancing responsiveness to cyber incidents.

BFSI (Dominant) vs. Healthcare (Emerging)

The BFSI segment is characterized by its stringent security requirements, as financial institutions seek to protect sensitive customer information and combat fraud. This sector's dominance is underpinned by substantial investments in cybersecurity solutions that comply with regulatory standards. In contrast, the Healthcare sector is emerging rapidly, driven by an increased reliance on digital health records and telemedicine solutions. This transition exposes healthcare providers to heightened cybersecurity risks, making them adopt innovative ai-driven cybersecurity measures. Moreover, as ransomware attacks targeting healthcare facilities grow, the urgency for advanced cyber protections becomes paramount. These dynamic characteristics highlight the varying yet critical cybersecurity needs across the BFSI and Healthcare segments in the GCC applied ai-in-cybersecurity market.

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Key Players and Competitive Insights

The applied ai-in-cybersecurity market is currently characterized by a dynamic competitive landscape, driven by the increasing sophistication of cyber threats and the growing demand for advanced security solutions. Key players such as CrowdStrike (US), Palo Alto Networks (US), and Darktrace (GB) are at the forefront, each adopting distinct strategies to enhance their market positioning. CrowdStrike (US) emphasizes innovation through its cloud-native platform, focusing on endpoint protection and threat intelligence. Meanwhile, Palo Alto Networks (US) is pursuing aggressive regional expansion, particularly in the GCC, to capitalize on the rising cybersecurity needs of enterprises. Darktrace (GB) leverages its self-learning AI technology to provide autonomous response capabilities, which appears to resonate well with organizations seeking proactive security measures. Collectively, these strategies contribute to a competitive environment that is increasingly reliant on technological advancement and regional adaptability.

In terms of business tactics, companies are increasingly localizing their operations to better serve regional markets, optimizing supply chains to enhance efficiency and responsiveness. The market structure is moderately fragmented, with several players vying for dominance, yet the influence of major companies remains substantial. This competitive structure fosters innovation, as firms strive to differentiate themselves through unique offerings and tailored solutions.

In October 2025, CrowdStrike (US) announced a strategic partnership with a leading telecommunications provider in the GCC to enhance its threat detection capabilities. This collaboration is expected to integrate advanced AI algorithms with the telecom's infrastructure, thereby improving real-time threat response for clients. Such partnerships are crucial as they not only expand CrowdStrike's reach but also enhance its technological capabilities, positioning it favorably against competitors.

In September 2025, Palo Alto Networks (US) launched a new AI-driven security platform specifically designed for small and medium-sized enterprises (SMEs) in the GCC. This initiative aims to democratize access to advanced cybersecurity solutions, allowing smaller organizations to benefit from cutting-edge technology that was previously accessible only to larger enterprises. This move is indicative of a broader trend towards inclusivity in cybersecurity, potentially reshaping market dynamics.

In August 2025, Darktrace (GB) secured a significant contract with a major financial institution in the GCC, focusing on deploying its AI-driven autonomous response technology. This contract not only underscores the growing trust in AI solutions but also highlights Darktrace's ability to cater to high-stakes environments where security is paramount. Such developments suggest a shift towards more sophisticated, AI-integrated security measures across various sectors.

As of November 2025, the competitive trends in the applied ai-in-cybersecurity market are increasingly defined by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are becoming pivotal, as companies recognize the need for collaborative approaches to tackle complex cybersecurity challenges. Looking ahead, competitive differentiation is likely to evolve, with a pronounced shift from price-based competition to a focus on innovation, technological advancement, and supply chain reliability. This evolution may redefine how companies position themselves in the market, emphasizing the importance of agility and responsiveness in an ever-changing threat landscape.

Key Companies in the GCC Applied AI in Cybersecurity Market market include

Industry Developments

The GCC Applied AI in Cybersecurity Market is currently witnessing significant activity fueled by technological advancements and a surge in cyber threats. Notably, companies such as Cisco and Palo Alto Networks have developed new AI-driven solutions tailored to enhance threat detection and response capabilities.

In August 2023, Darktrace launched an innovative AI cybersecurity platform specifically designed for the GCC market, addressing the region's increasing vulnerability to cyberattacks. Furthermore, Microsoft has been expanding its cybersecurity partnerships across the region, focusing on collaborative efforts with local governments to strengthen cybersecurity frameworks. In terms of mergers and acquisitions, Cisco secured its acquisition of a leading AI cybersecurity startup in July 2023, enhancing its capabilities in threat intelligence. 

Additionally, CrowdStrike and Splunk have engaged in strategic partnerships to broaden their service offerings within the GCC. Over the past two years, the market has shown a compound annual growth rate of over 20%, driven by heightened security concerns across critical sectors such as finance and healthcare. Investments from governments in digital infrastructure are further reinforcing the demand for advanced cybersecurity solutions, solidifying the importance of AI in safeguarding the GCC's digital landscape.

 

Future Outlook

GCC Applied AI in Cybersecurity Market Future Outlook

The applied ai-in-cybersecurity market is projected to grow at a 24.48% CAGR from 2024 to 2035, driven by increasing cyber threats and demand for advanced security solutions.

New opportunities lie in:

  • Development of AI-driven threat detection platforms for real-time response.
  • Integration of AI in compliance automation tools for regulatory adherence.
  • Creation of customized AI solutions for industry-specific cybersecurity challenges.

By 2035, the market is expected to be robust, driven by innovation and strategic investments.

Market Segmentation

GCC Applied AI in Cybersecurity Market End User Outlook

  • BFSI
  • Retail
  • Government & Defense
  • Manufacturing
  • Utilities
  • Oil & Gas
  • Healthcare
  • Automotive & Transportation
  • Other

GCC Applied AI in Cybersecurity Market Application Outlook

  • Identity and Access Management
  • Risk and Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Security and Vulnerability Management
  • Antivirus/Antimalware
  • Fraud Detection/Anti-Fraud
  • Intrusion Detection/Prevention System
  • Threat Intelligence
  • Others

GCC Applied AI in Cybersecurity Market Security Type Outlook

  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security
  • ICS Security
  • IoT Security
  • Others

GCC Applied AI in Cybersecurity Market Deployment Type Outlook

  • On Premises
  • Cloud

GCC Applied AI in Cybersecurity Market Organization Size Outlook

  • SMEs
  • Large Enterprise

Report Scope

MARKET SIZE 2024 68.49(USD Million)
MARKET SIZE 2025 85.26(USD Million)
MARKET SIZE 2035 761.4(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 24.48% (2024 - 2035)
REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR 2024
Market Forecast Period 2025 - 2035
Historical Data 2019 - 2024
Market Forecast Units USD Million
Key Companies Profiled ["CrowdStrike (US)", "Palo Alto Networks (US)", "Darktrace (GB)", "Fortinet (US)", "Check Point Software Technologies (IL)", "IBM (US)", "McAfee (US)", "Cisco Systems (US)"]
Segments Covered Organization Size, Deployment Type, Security Type, Application, End User
Key Market Opportunities Integration of advanced machine learning algorithms enhances threat detection and response capabilities in the applied ai-in-cybersecurity market.
Key Market Dynamics Rising demand for advanced threat detection drives innovation in applied AI technologies within the cybersecurity sector.
Countries Covered GCC

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FAQs

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

The expected market size of the GCC Applied AI in Cybersecurity Market in 2024 is 75.0 million USD.

What will be the estimated market value of the GCC Applied AI in Cybersecurity Market by 2035?

By 2035, the estimated market value of the GCC Applied AI in Cybersecurity Market is expected to reach 204.0 million USD.

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

The CAGR for the GCC Applied AI in Cybersecurity Market from 2025 to 2035 is expected to be 9.523%.

What segments are included when analyzing the GCC Applied AI in Cybersecurity Market by organization size?

The GCC Applied AI in Cybersecurity Market is segmented into SMEs and Large Enterprises.

How is the market size projected for SMEs in the GCC Applied AI in Cybersecurity Market by 2035?

The market size for SMEs in the GCC Applied AI in Cybersecurity Market is projected to be 82.0 million USD by 2035.

What is the projected market size for Large Enterprises in the GCC Applied AI in Cybersecurity Market in 2024?

The projected market size for Large Enterprises in the GCC Applied AI in Cybersecurity Market in 2024 is 45.0 million USD.

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

Key players in the GCC Applied AI in Cybersecurity Market include Palantir Technologies, Cisco, Cylance, CrowdStrike, and Palo Alto Networks.

What market share is currently dominated by Large Enterprises in the GCC Applied AI in Cybersecurity Market?

Large Enterprises are expected to dominate the market with a share of 45.0 million USD in 2024.

What are the major trends influencing growth in the GCC Applied AI in Cybersecurity Market?

Major trends influencing growth include increasing cyber threats and the rising adoption of AI technologies for cybersecurity measures.

What challenges does the GCC Applied AI in Cybersecurity Market face today?

Challenges facing this market include the high cost of implementing AI solutions and a shortage of skilled cybersecurity professionals.

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