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    UK AI in Cybersecurity Market

    ID: MRFR/ICT/57012-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    UK 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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    UK AI in Cybersecurity Market 
Research Report- Forecast to 2035 Infographic
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    Table of Contents

    UK AI in Cybersecurity Market Summary

    The United Kingdom AI in Cybersecurity market is poised for substantial growth, projected to reach 6670 USD Million by 2035.

    Key Market Trends & Highlights

    UK AI in Cybersecurity Key Trends and Highlights

    • The market valuation is expected to increase from 556.5 USD Million in 2024 to 6670 USD Million by 2035.
    • The compound annual growth rate (CAGR) for the period from 2025 to 2035 is estimated at 25.33%.
    • This growth trajectory indicates a robust expansion in the adoption of AI technologies within the cybersecurity sector.
    • Growing adoption of AI technologies due to increasing cyber threats is a major market driver.

    Market Size & Forecast

    2024 Market Size 556.5 (USD Million)
    2035 Market Size 6670 (USD Million)
    CAGR (2025-2035) 25.33%

    Major Players

    BT Group, Cisco, Trend Micro, Proofpoint, Microsoft, Check Point Software Technologies, Cylance, Fortinet, Sophos, Palo Alto Networks, IBM, Darktrace, McAfee, CrowdStrike, FireEye

    UK AI in Cybersecurity Market Trends

    The UK AI in cybersecurity market is growing fast, spurred by rising cyber threats and a stronger emphasis on data safety. Backing this upward trend, the government launched the National Cyber Strategy to improve national defences against hackers. Firms in nearly every field are now turning to AI tools to lift their security levels. They realize that classic firewalls and antivirus software fall short against well-planned intrusions. Artificial intelligence now handles threat spotting, automates response tasks, and delivers forward-looking insights, giving organisations room to patch weak points before attackers strike.

    A clear gap remains for AI security products aimed at small and medium enterprises SMEs that usually work without deep-security budgets. If suppliers offer simple, low-cost AI services, these companies can protect files, networks, and client data with far less friction. Joint projects between tech firms and public agencies can also create next-generation security standards, pushing innovation and raising resilience across the whole economy. To build on that momentum, many developers are fusing AI with machine learning, big data analytics, and other next-wave tools.

    By merging human expertise with machine learning, organizations gain sharper threat awareness and quicker reaction times, both of which are vital when attacks mutate daily. At the same time, cybersecurity professionals are increasingly scrutinizing the ethics of AI, insisting on clear algorithms and mindful handling of private data. With the United Kingdom placing mounting emphasis on national security online, the thoughtful application of these technologies will largely determine how safely citizens and businesses navigate the digital landscape in years to come.

    UK AI in Cybersecurity Market Drivers

    Market Segment Insights

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

    Regional Insights

    Key Players and Competitive Insights

    The UK AI in Cybersecurity Market is characterized by rapid advancements and a highly competitive landscape. As organizations increasingly adopt digital strategies and expand their online presence, the need for advanced cybersecurity solutions powered by artificial intelligence has become paramount. Competition in this market is intensified by the growing threat landscape, with cyberattacks becoming more sophisticated and widespread. Companies in this domain are leveraging AI technologies to enhance threat detection, automate response mechanisms, and improve overall security posture.

    The market is populated with various players, ranging from established telecommunications and technology firms to innovative startups, all vying to deliver comprehensive and effective AI-driven cybersecurity solutions tailored for UK businesses. As these entities strive to differentiate themselves, they focus on innovation, quality of service, and customer engagement to secure their position in this evolving market.

    BT Group stands out within the UK AI Cybersecurity Market due to its extensive expertise in telecommunications and comprehensive security offerings. With a substantial customer base across various sectors, including government, healthcare, and finance, BT Group leverages its vast network infrastructure to provide advanced security solutions. Its strengths lie in the ability to offer integrated services that combine AI technologies with traditional cybersecurity measures, ensuring robust defense mechanisms against cyber threats. Additionally, BT Group's commitment to research and development positions it as a forward-thinking leader in the market, continuously improving its capabilities to address emerging vulnerabilities.

    The company's established relationships with clients bolster its growth, enabling it to respond swiftly to customer needs while advancing its AI capabilities.

    Cisco has a significant presence in the UK AI Cybersecurity Market, primarily recognized for its industry-leading network security solutions and cutting-edge AI integrations. The company provides a variety of cybersecurity products and services, including threat intelligence platforms, secure access systems, and advanced endpoint protection powered by AI insights. Cisco's strengths are evident in its ability to offer seamless integration of its products into existing IT infrastructure, ensuring that UK organizations can enhance their security posture without disruption.

    The company actively engages in mergers and acquisitions to bolster its technology portfolio and expand its reach in the market, enhancing its capabilities through strategic partnerships. Cisco's reputation for innovation and reliability has made it a preferred choice for organizations looking for AI-driven cybersecurity solutions in the UK, solidifying its role as a key player in addressing the complexities of modern cyber threats.

    Key Companies in the UK AI in Cybersecurity Market market include

    Industry Developments

    In September 2023, Microsoft announced enhanced AI-driven cybersecurity tools aimed at helping organizations proactively defend against threats, reflecting the growing demand for sophisticated security solutions.

    Meanwhile, in August 2023, Palo Alto Networks reported a major upgrade to its AI capabilities, effectively enhancing threat detection and response times.

    Merger and acquisition activities have also been notable, with Check Point Software Technologies acquiring a startup specializing in AI-based threat detection in July 2023, which is expected to bolster its cybersecurity portfolio. Additionally, Fortinet experienced a steady growth valuation, indicating strong market confidence as demand for AI-enhanced security solutions continues to rise.

    Over the past few years, the UK government has prioritized securing the digital landscape, leading to significant investments in AI technologies to combat cyber threats. These trends collectively demonstrate a proactive shift towards integrating AI technologies within the cybersecurity landscape, aiming to safeguard businesses and critical infrastructure effectively.

    Market Segmentation

    AI in Cybersecurity Market End Use Outlook

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

    AI in Cybersecurity Market Technology Outlook

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

    AI in Cybersecurity Market Application Outlook

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

    AI in Cybersecurity Market Deployment Mode Outlook

    • Cloud-Based
    • On-Premises
    • Hybrid

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 455.5(USD Million)
    MARKET SIZE 2024 556.5(USD Million)
    MARKET SIZE 2035 6670.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 25.331% (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 BT Group, Cisco, Trend Micro, Proofpoint, Microsoft, Check Point Software Technologies, Cylance, Fortinet, Sophos, Palo Alto Networks, IBM, Darktrace, McAfee, CrowdStrike, FireEye
    SEGMENTS COVERED Application, Deployment Mode, End Use, Technology
    KEY MARKET OPPORTUNITIES Automated threat detection solutions, AI-driven incident response tools, Predictive analytics for vulnerabilities, Machine learning for threat intelligence, Enhanced data privacy compliance solutions
    KEY MARKET DYNAMICS increasing cyber threats, regulatory compliance requirements, rising demand for automation, growing adoption of cloud services, need for real-time threat detection
    COUNTRIES COVERED UK

    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 UK AI in Cybersecurity Market in 2024?

    The UK AI in Cybersecurity Market is expected to be valued at 556.5 USD Million in 2024.

    What will be the projected value of the UK AI in Cybersecurity Market by 2035?

    By 2035, the UK AI in Cybersecurity Market is projected to reach a value of 6670.0 USD Million.

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

    The expected CAGR for the UK AI in Cybersecurity Market from 2025 to 2035 is 25.331%.

    Which application segment is expected to have the largest market value in 2035?

    The Intrusion Detection segment is expected to have the largest market value at 1200.0 USD Million in 2035.

    What is the market value of the Threat Intelligence application in 2024?

    The Threat Intelligence application is valued at 150.0 USD Million in 2024.

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

    Key players in the market include BT Group, Cisco, Trend Micro, Microsoft, and IBM.

    What is the expected market value for Fraud Detection by 2035?

    The market value for Fraud Detection is expected to reach 1000.0 USD Million by 2035.

    How much will the Security Analytics segment be valued at in 2035?

    The Security Analytics segment is projected to be valued at 1300.0 USD Million in 2035.

    What is the market value of Incident Response in 2024?

    In 2024, the Incident Response application is valued at 120.0 USD Million.

    What opportunities exist for growth in the UK AI in Cybersecurity Market?

    Key growth opportunities in the market arise from increased demand for advanced threat detection and prevention solutions.

    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. UK
    59. AI in Cybersecurity Market, BY Application (USD Million)
    60. Intrusion
    61. Detection
    62. Threat Intelligence
    63. Fraud
    64. Detection
    65. Security Analytics
    66. Incident
    67. Response
    68. UK AI in Cybersecurity
    69. Market, BY Deployment Mode (USD Million)
    70. Cloud-Based
    71. On-Premises
    72. Hybrid
    73. UK
    74. AI in Cybersecurity Market, BY End Use (USD Million)
    75. BFSI
    76. Healthcare
    77. Government
    78. Retail
    79. IT
    80. and Telecom
    81. UK AI in Cybersecurity
    82. Market, BY Technology (USD Million)
    83. Machine
    84. Learning
    85. Natural Language Processing
    86. Deep
    87. Learning
    88. Neural Networks
    89. Competitive Landscape
    90. Overview
    91. Competitive
    92. Analysis
    93. Market share Analysis
    94. Major
    95. Growth Strategy in the AI in Cybersecurity Market
    96. Competitive
    97. Benchmarking
    98. Leading Players in Terms of Number of Developments
    99. in the AI in Cybersecurity Market
    100. Key developments and
    101. 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. BT Group
    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. Trend Micro
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. Proofpoint
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. Microsoft
    150. Financial
    151. Overview
    152. Products Offered
    153. Key
    154. Developments
    155. SWOT Analysis
    156. Key
    157. Strategies
    158. Check Point Software Technologies
    159. Financial
    160. Overview
    161. Products Offered
    162. Key
    163. Developments
    164. SWOT Analysis
    165. Key
    166. Strategies
    167. Cylance
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. Fortinet
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. Sophos
    186. Financial
    187. Overview
    188. Products Offered
    189. Key
    190. Developments
    191. SWOT Analysis
    192. Key
    193. Strategies
    194. Palo Alto Networks
    195. Financial
    196. Overview
    197. Products Offered
    198. Key
    199. Developments
    200. SWOT Analysis
    201. Key
    202. Strategies
    203. IBM
    204. Financial
    205. Overview
    206. Products Offered
    207. Key
    208. Developments
    209. SWOT Analysis
    210. Key
    211. Strategies
    212. Darktrace
    213. Financial
    214. Overview
    215. Products Offered
    216. Key
    217. Developments
    218. SWOT Analysis
    219. Key
    220. Strategies
    221. McAfee
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. CrowdStrike
    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. UK AI in Cybersecurity Market SIZE ESTIMATES
    254. & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    255. UK
    256. AI in Cybersecurity Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT MODE, 2019-2035
    257. (USD Billions)
    258. UK AI in Cybersecurity Market SIZE ESTIMATES
    259. & FORECAST, BY END USE, 2019-2035 (USD Billions)
    260. UK
    261. AI in Cybersecurity Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035
    262. (USD Billions)
    263. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    264. ACQUISITION/PARTNERSHIP
    265. LIST
    266. Of figures
    267. MARKET SYNOPSIS
    268. UK
    269. AI IN CYBERSECURITY MARKET ANALYSIS BY APPLICATION
    270. UK
    271. AI IN CYBERSECURITY MARKET ANALYSIS BY DEPLOYMENT MODE
    272. UK
    273. AI IN CYBERSECURITY MARKET ANALYSIS BY END USE
    274. UK AI
    275. IN CYBERSECURITY MARKET ANALYSIS BY TECHNOLOGY
    276. KEY BUYING
    277. CRITERIA OF AI IN CYBERSECURITY MARKET
    278. RESEARCH PROCESS
    279. OF MRFR
    280. DRO ANALYSIS OF AI IN CYBERSECURITY MARKET
    281. DRIVERS
    282. IMPACT ANALYSIS: AI IN CYBERSECURITY MARKET
    283. RESTRAINTS
    284. IMPACT ANALYSIS: AI IN CYBERSECURITY MARKET
    285. SUPPLY /
    286. VALUE CHAIN: AI IN CYBERSECURITY MARKET
    287. AI IN CYBERSECURITY
    288. MARKET, BY APPLICATION, 2025 (% SHARE)
    289. AI IN CYBERSECURITY
    290. MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    291. AI
    292. IN CYBERSECURITY MARKET, BY DEPLOYMENT MODE, 2025 (% SHARE)
    293. AI
    294. IN CYBERSECURITY MARKET, BY DEPLOYMENT MODE, 2019 TO 2035 (USD Billions)
    295. AI
    296. IN CYBERSECURITY MARKET, BY END USE, 2025 (% SHARE)
    297. AI
    298. IN CYBERSECURITY MARKET, BY END USE, 2019 TO 2035 (USD Billions)
    299. AI
    300. IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    301. AI
    302. IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    303. BENCHMARKING
    304. OF MAJOR COMPETITORS

    UK AI in Cybersecurity Market Segmentation

     

     

     

    • AI in Cybersecurity Market By Application (USD Million, 2019-2035)

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

     

    • AI in Cybersecurity Market By Deployment Mode (USD Million, 2019-2035)

      • Cloud-Based
      • On-Premises
      • Hybrid

     

    • AI in Cybersecurity Market By End Use (USD Million, 2019-2035)

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

     

    • AI in Cybersecurity Market By Technology (USD Million, 2019-2035)

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

     

     

     

     

     

     

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