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    GCC Applied AI in Cybersecurity Market

    ID: MRFR/ICT/57132-HCR
    200 Pages
    Aarti Dhapte
    September 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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    Table of Contents

    GCC Applied AI in Cybersecurity Market Summary

    The GCC Applied AI in Cybersecurity market is projected to grow from 1500 USD Million in 2024 to 5000 USD Million by 2035, reflecting a robust CAGR of 11.57%.

    Key Market Trends & Highlights

    GCC Applied AI In Cybersecurity Key Trends and Highlights

    • The market valuation is expected to reach 5000 USD Million by 2035, indicating substantial growth opportunities.
    • From 2025 to 2035, the market is anticipated to expand at a CAGR of 11.57%, showcasing increasing investment in cybersecurity solutions.
    • In 2024, the market is valued at 1500 USD Million, highlighting the current demand for advanced cybersecurity technologies.
    • Growing adoption of artificial intelligence due to the rising number of cyber threats is a major market driver.

    Market Size & Forecast

    2024 Market Size 1500 (USD Million)
    2035 Market Size 5000 (USD Million)
    CAGR (2025 - 2035) 11.57%

    Major Players

    Saudi Aramco (SA), Qatar National Bank (QA), Emirates NBD (AE), Etisalat (AE), National Commercial Bank (SA), Oman Telecommunications Company (OM), Kuwait Finance House (KW), Bahrain Telecommunications Company (BH), Al Rajhi Bank (SA), Dubai Islamic Bank (AE)

    GCC Applied AI in Cybersecurity Market Trends

    The GCC Applied AI in Cybersecurity Market is on the rise mainly because cyber threats are increasing and stronger security measures are needed. Governments in the region have started to take cybersecurity more seriously now, which indicates a shift in focus toward protecting the country and its economy. This concern is seen in programs such as the National Cybersecurity Strategy in Saudi Arabia and UAE’s Cybersecurity Strategy that enhance their defenses against cyberattacks.

    The increasing use of artificial intelligence technologies by organizations within the GCC also serves as an important market enabler, since these technologies sharpen threat detection and response capabilities, thus enhancing security posture.

    Recently, there has been some observation on enhanced investment into AI automation solutions aimed at securing processes. Machine learning-based systems have enabled organizations to analyze large portions of data faster thereby predicting potential threats and mitigating them before they arise. Additionally, businesses across the GCC are entering strategic partnerships with technology firms in order to take advantage advanced AI technology that will provide a chance to develop custom designed cybersecurity solutions that address local needs.

    Moreover, there is great opportunity within the GCC Market towards the creation of new Cybersecurity services focusing on finance sector, healthcare and energy which tend to attract a lot of cyber criminals.

    There are investments being made in training and upskilling as businesses understand the importance of having talent adept in AI and cybersecurity technologies. With further investments being channeled into digital transformation, the Applied AI in Cybersecurity Market is poised to capture greater opportunities which will improve security infrastructures across multiple sectors in the GCC.

    GCC Applied AI in Cybersecurity Market Drivers

    Market Segment Insights

    Applied AI In Cybersecurity Market Organization Size Insights

    Applied AI In Cybersecurity Market Organization Size Insights

    The Organization Size segment within the GCC Applied AI In Cybersecurity Market reveals significant insights regarding the adaptation of advanced security solutions among various entity sizes. In the rapidly evolving landscape of cybersecurity threats, both Small and Medium Enterprises (SMEs) and Large Enterprises pursue specialized Applied AI technologies as necessary components of their security framework. SMEs, representing a vital portion of the GCC economy, are increasingly recognizing the need for automation and intelligence in their cybersecurity efforts to protect sensitive data and maintain operational integrity.

    With limited resources and capabilities, these businesses seek cost-effective, scalable solutions, which AI technologies can provide, thereby enhancing their overall security posture without overextending their budgets. 

    Conversely, Large Enterprises often face more complex challenges due to their extensive networks and operations spanning multiple jurisdictions within the GCC. Such organizations typically have more significant investments and resources to allocate towards cybersecurity, allowing them to adopt comprehensive AI solutions capable of real-time threat detection and response. In many cases, they implement end-to-end AI-driven security frameworks that not only protect their digital assets but also help in compliance with stringent regulatory requirements established by GCC governments aimed at bolstering national cybersecurity.

    The expansion of the digital economy in the region, spurred on by initiatives like Saudi Arabia's Vision 2030 and the UAE's National Cybersecurity Strategy, stipulates a growing demand for robust cybersecurity frameworks across organizations of all sizes. 

    Applied AI In Cybersecurity Market Security Type Insights

    Applied AI In Cybersecurity Market Security Type Insights

    The GCC Applied AI In Cybersecurity Market demonstrates a diverse landscape with various Security Type categories that are critical in combating the increasing cyber threats in the region. Network Security plays a crucial role in safeguarding organizational networks from intrusions and attacks, while Endpoint Security focuses on protecting devices connected to the network, ensuring a comprehensive defense strategy. Application Security is vital as it secures software applications against vulnerabilities, which is particularly important as digital transformation accelerates in the GCC.

    With the surge in cloud adoption, Cloud Security has gained substantial importance, enabling organizations to protect sensitive data stored in cloud environments. In parallel, Industrial Control System (ICS) Security is paramount to protect critical infrastructure in sectors like oil and gas, which are predominant in the GCC. 

    With the rise of interconnected devices, IoT Security has become essential in mitigating the risks associated with smart devices. Identity and Access Management safeguard against unauthorized access, promoting secure operations. Risk and Compliance Management assist organizations in meeting regulatory requirements while managing risk effectively. Data Loss Prevention strategies are implemented to avoid data breaches, while Unified Threat Management offers organizations a consolidated solution to address various threats. Additionally, Security and Vulnerability Management, Antivirus/Antimalware, Fraud Detection, Intrusion Detection/Prevention Systems, and Threat Intelligence are critical components that collectively strengthen defenses against evolving cyber threats in the GCC.

    This segmentation not only highlights the increasing focus on security across diverse domains but also reflects the region's commitment to bolstering cybersecurity resilience.

    Get more detailed insights about GCC Applied AI in Cybersecurity Market Research Report- Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The GCC Applied AI in Cybersecurity Market has been witnessing significant growth driven by the increasing sophistication of cyber threats and the rising awareness regarding cybersecurity measures among businesses and government entities in the region. The landscape is marked by various players employing advanced artificial intelligence mechanisms to enhance their cybersecurity solutions and address vulnerabilities in real-time. As AI technologies become integral to cybersecurity initiatives, organizations are focusing on leveraging data analytics, machine learning, and automation to fortify their defenses.

    The competitive dynamics of this market reveal a mix of both global and regional players, each aiming to outpace one another through innovative offerings, strategic partnerships, and tailored solutions that meet the distinct needs of GCC customers.

    Palantir Technologies has established a notable presence within the GCC Applied AI in Cybersecurity Market, leveraging its expertise in data analytics and software solutions to provide sophisticated cybersecurity capabilities. The company's strengths lie in its proprietary technology that enables organizations to analyze massive datasets effectively, facilitating the identification of potential threats and vulnerabilities. Palantir Technologies is recognized for its commitment to enhancing data-driven decision-making in cybersecurity, appealing to government and enterprise customers across the GCC region. 

    The firm's emphasis on collaboration with local entities to understand regional challenges reinforces its competitive edge, making it a significant player in providing comprehensive cybersecurity solutions powered by applied AI.Cisco's engagement in the GCC Applied AI in Cybersecurity Market is characterized by its extensive portfolio of cybersecurity products and services, which encompass network security, cloud security, and advanced threat intelligence solutions. The company has made substantial investments in developing AI-driven technologies aimed at automating threat detection and response processes. 

    Cisco's strengths in the market stem from its long-standing reputation, established client relationships, and the capability to provide integrated cybersecurity solutions that align with the specific needs of organizations in the GCC. Moreover, the company has executed several strategic mergers and acquisitions to enhance its technological capabilities, ensuring its offerings remain competitive in both breadth and depth. Cisco’s robust market presence is further bolstered by its ongoing commitment to research and development, positioning the company as a leader in the proactive defense against cyber threats in the GCC region.

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

    Industry Developments

    Market Segmentation

    Applied AI In Cybersecurity Market Security Type Outlook

    • 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

    Applied AI In Cybersecurity Market Organization Size Outlook

    • SMEs
    • Large Enterprise

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 49.69(USD Million)
    MARKET SIZE 2024 75.0(USD Million)
    MARKET SIZE 2035 204.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 9.523% (2025 - 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 Palantir Technologies, Cisco, Cylance, CrowdStrike, Palo Alto Networks, Fortinet, Splunk, Symantec, Microsoft, McAfee, Check Point Software, IBM, Darktrace, Trend Micro, FireEye
    SEGMENTS COVERED Organization Size, Security Type
    KEY MARKET OPPORTUNITIES Advanced threat detection solutions, Automation in incident response, AI-driven risk assessment tools, Enhanced compliance management systems, Predictive analytics for threat forecasting
    KEY MARKET DYNAMICS Increasing cyber threats, Government regulations, Growing demand for automation, Investment in advanced technologies, Rising data breaches
    COUNTRIES COVERED GCC

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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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.

    1. EXECUTIVE
    2. SUMMARY
    3. Market Overview
    4. Key Findings
    5. Market Segmentation
    6. Competitive Landscape
    7. Challenges and Opportunities
    8. Future Outlook
    9. MARKET INTRODUCTION
    10. Definition
    11. Scope of the study
    12. Research Objective
    13. Assumption
    14. Limitations
    15. RESEARCH
    16. METHODOLOGY
    17. Overview
    18. Data
    19. Mining
    20. Secondary Research
    21. Primary
    22. Research
    23. Primary Interviews and Information Gathering
    24. Process
    25. Breakdown of Primary Respondents
    26. Forecasting
    27. Model
    28. Market Size Estimation
    29. Bottom-Up
    30. Approach
    31. Top-Down Approach
    32. Data
    33. Triangulation
    34. Validation
    35. MARKET
    36. DYNAMICS
    37. Overview
    38. Drivers
    39. Restraints
    40. Opportunities
    41. MARKET FACTOR ANALYSIS
    42. Value chain Analysis
    43. Porter's
    44. Five Forces Analysis
    45. Bargaining Power of Suppliers
    46. Bargaining
    47. Power of Buyers
    48. Threat of New Entrants
    49. Threat
    50. of Substitutes
    51. Intensity of Rivalry
    52. COVID-19
    53. Impact Analysis
    54. Market Impact Analysis
    55. Regional
    56. Impact
    57. Opportunity and Threat Analysis
    58. GCC
    59. Applied AI In Cybersecurity Market, BY Organization Size (USD Million)
    60. SMEs
    61. Large
    62. Enterprise
    63. GCC Applied AI In
    64. Cybersecurity Market, BY Security Type (USD Million)
    65. Network
    66. Security
    67. Endpoint Security
    68. Application
    69. Security
    70. Cloud Security
    71. ICS
    72. Security
    73. IoT Security
    74. Identity
    75. and Access Management
    76. Risk and Compliance Management
    77. Data
    78. Loss Prevention
    79. Unified Threat Management
    80. Security
    81. and Vulnerability Management
    82. Antivirus/Antimalware
    83. Fraud
    84. Detection
    85. Intrusion Detection/Prevention System
    86. Threat
    87. Intelligence
    88. Others
    89. Competitive Landscape
    90. Overview
    91. Competitive
    92. Analysis
    93. Market share Analysis
    94. Major
    95. Growth Strategy in the Applied AI In Cybersecurity Market
    96. Competitive
    97. Benchmarking
    98. Leading Players in Terms of Number of Developments
    99. in the Applied AI In Cybersecurity Market
    100. Key developments
    101. and growth strategies
    102. New Product Launch/Service Deployment
    103. Merger
    104. & Acquisitions
    105. Joint Ventures
    106. Major
    107. Players Financial Matrix
    108. Sales and Operating Income
    109. Major
    110. Players R&D Expenditure. 2023
    111. Company
    112. Profiles
    113. Palantir Technologies
    114. Financial
    115. Overview
    116. Products Offered
    117. Key
    118. Developments
    119. SWOT Analysis
    120. Key
    121. Strategies
    122. Cisco
    123. Financial
    124. Overview
    125. Products Offered
    126. Key
    127. Developments
    128. SWOT Analysis
    129. Key
    130. Strategies
    131. Cylance
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. CrowdStrike
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. Palo Alto Networks
    150. Financial
    151. Overview
    152. Products Offered
    153. Key
    154. Developments
    155. SWOT Analysis
    156. Key
    157. Strategies
    158. Fortinet
    159. Financial
    160. Overview
    161. Products Offered
    162. Key
    163. Developments
    164. SWOT Analysis
    165. Key
    166. Strategies
    167. Splunk
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. Symantec
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. Microsoft
    186. Financial
    187. Overview
    188. Products Offered
    189. Key
    190. Developments
    191. SWOT Analysis
    192. Key
    193. Strategies
    194. McAfee
    195. Financial
    196. Overview
    197. Products Offered
    198. Key
    199. Developments
    200. SWOT Analysis
    201. Key
    202. Strategies
    203. Check Point Software
    204. Financial
    205. Overview
    206. Products Offered
    207. Key
    208. Developments
    209. SWOT Analysis
    210. Key
    211. Strategies
    212. IBM
    213. Financial
    214. Overview
    215. Products Offered
    216. Key
    217. Developments
    218. SWOT Analysis
    219. Key
    220. Strategies
    221. Darktrace
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. Trend Micro
    231. Financial
    232. Overview
    233. Products Offered
    234. Key
    235. Developments
    236. SWOT Analysis
    237. Key
    238. Strategies
    239. FireEye
    240. Financial
    241. Overview
    242. Products Offered
    243. Key
    244. Developments
    245. SWOT Analysis
    246. Key
    247. Strategies
    248. References
    249. Related
    250. Reports
    251. LIST
    252. OF ASSUMPTIONS
    253. GCC Applied AI In Cybersecurity Market
    254. SIZE ESTIMATES & FORECAST, BY ORGANIZATION SIZE, 2019-2035 (USD Billions)
    255. GCC
    256. Applied AI In Cybersecurity Market SIZE ESTIMATES & FORECAST, BY SECURITY TYPE,
    257. 2035 (USD Billions)
    258. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    259. ACQUISITION/PARTNERSHIP
    260. LIST
    261. Of figures
    262. MARKET SYNOPSIS
    263. GCC
    264. APPLIED AI IN CYBERSECURITY MARKET ANALYSIS BY ORGANIZATION SIZE
    265. GCC
    266. APPLIED AI IN CYBERSECURITY MARKET ANALYSIS BY SECURITY TYPE
    267. KEY
    268. BUYING CRITERIA OF APPLIED AI IN CYBERSECURITY MARKET
    269. RESEARCH
    270. PROCESS OF MRFR
    271. DRO ANALYSIS OF APPLIED AI IN CYBERSECURITY
    272. MARKET
    273. DRIVERS IMPACT ANALYSIS: APPLIED AI IN CYBERSECURITY
    274. MARKET
    275. RESTRAINTS IMPACT ANALYSIS: APPLIED AI IN CYBERSECURITY
    276. MARKET
    277. SUPPLY / VALUE CHAIN: APPLIED AI IN CYBERSECURITY
    278. MARKET
    279. APPLIED AI IN CYBERSECURITY MARKET, BY ORGANIZATION
    280. SIZE, 2025 (% SHARE)
    281. APPLIED AI IN CYBERSECURITY MARKET,
    282. BY ORGANIZATION SIZE, 2019 TO 2035 (USD Billions)
    283. APPLIED
    284. AI IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2025 (% SHARE)
    285. APPLIED
    286. AI IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019 TO 2035 (USD Billions)
    287. BENCHMARKING
    288. OF MAJOR COMPETITORS

    GCC Applied AI In Cybersecurity Market Segmentation

     

     

     

    • Applied AI In Cybersecurity Market By Organization Size (USD Million, 2019-2035)

      • SMEs
      • Large Enterprise

     

    • Applied AI In Cybersecurity Market By Security Type (USD Million, 2019-2035)

      • 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

     

     

     

     

     

     

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