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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


ID: MRFR/ICT/57012-HCR | 200 Pages | Author: Aarti Dhapte| July 2025

UK AI in Cybersecurity Market Overview


As per MRFR analysis, the UK AI in Cybersecurity Market Size was estimated at 455.5 (USD Million) in 2023.The UK AI in Cybersecurity Market Industry is expected to grow from 556.5(USD Million) in 2024 to 6,670 (USD Million) by 2035. The UK AI in Cybersecurity Market CAGR (growth rate) is expected to be around 25.331% during the forecast period (2025 - 2035).


Key UK AI in Cybersecurity Market Trends Highlighted


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 size


UK AI in Cybersecurity Market Drivers


Increasing Cyber Threats and Data Breaches


The frequency of cyber-attacks and data breaches has been rising dramatically in the UK, necessitating advanced solutions to combat these threats. Reports from the UK government's National Cyber Security Centre indicate that in 2022 alone, there were over 1,000 cyber incidents reported, up significantly from previous years. 


This surge in incidents underscores the critical need for organizations to invest in advanced security measures, such as Artificial Intelligence.Established organizations like Darktrace are leading the UK AI in Cybersecurity Market Industry by developing self-learning AI systems that provide real-time threat detection and response capabilities. This increasing requirement for sophisticated security solutions is expected to be a key driver of the market as businesses look to protect sensitive data and maintain customer trust.


Regulatory Compliance and Data Protection Laws


Stringent data protection regulations, such as the UK General Data Protection Regulation (GDPR), are driving organizations to enhance their cybersecurity measures. The Information Commissioner's Office (ICO) has reported that over 60% of UK businesses are concerned about compliance with these regulations, creating a market for AI-driven solutions that help ensure compliance while enhancing security. 


Organizations like IBM have developed AI tools that assist in data management and compliance, thus fueling investments in the UK AI in Cybersecurity Market Industry.


Growing Adoption of Cloud Technologies


The shift towards cloud computing has significantly increased the demand for cybersecurity solutions. According to a report by the UK Cloud Industry Forum, over 90% of UK organizations are now using cloud services, creating new vulnerabilities that need to be addressed with AI-driven security measures. 


Companies like Microsoft are at the forefront, offering AI-based security features in their cloud products. This trend towards cloud technology adoption represents a crucial growth driver for the UK AI in Cybersecurity Market Industry as businesses seek to safeguard their cloud environments.


UK AI in Cybersecurity Market Segment Insights


AI in Cybersecurity Market Application Insights


The UK AI in Cybersecurity Market, particularly within the Application segment, is experiencing substantial growth as businesses increasingly turn to artificial intelligence to enhance their security postures. With cyber threats becoming more sophisticated and frequent, organizations are adopting AI-driven solutions to protect against potential attacks and security breaches. Within this segment, key applications include Intrusion Detection, Threat Intelligence, Fraud Detection, Security Analytics, and Incident Response, each playing a critical role in fortifying cybersecurity frameworks. Intrusion Detection systems are significant as they leverage AI algorithms to identify unusual network activities in real time, thereby enabling rapid response to potential threats. Threat Intelligence empowers organizations to analyze and assess threat vectors effectively, helping them stay ahead of cyber adversaries. 


Furthermore, Fraud Detection utilizes AI to discern and prevent fraudulent activities across digital transactions, ensuring the safety of customer interactions and maintaining trust. Security Analytics provides vital insights into security events and incidents, allowing organizations to derive actionable intelligence from vast amounts of data. This is becoming increasingly important in the face of rising data volumes and complexities associated with cyber threats. Lastly, Incident Response is critical for minimizing damage from cyber incidents, utilizing AI to automate response actions and improve the efficiency of recovery processes. 


Overall, the demand for AI in these applications reflects a shift towards proactive cybersecurity measures within the UK, aligning with government initiatives to enhance the nation's cybersecurity resilience. Adopting these advanced applications not only supports compliance with regulatory standards but also helps to mitigate the risks associated with data breaches, driving the overall growth and evolution of the industry in the UK. This comprehensive approach ensures that businesses can respond to current challenges while preparing for future cybersecurity needs.


UK AI in Cybersecurity Market Segment


AI in Cybersecurity Market Deployment Mode Insights


The UK AI in Cybersecurity Market is experiencing significant growth, particularly within the Deployment Mode segment, which comprises Cloud-Based, On-Premises, and Hybrid models. The increasing demand for robust cybersecurity measures in the face of rising cyber threats in the UK has resulted in a dynamic landscape where these deployment modes each play a unique role. Cloud-Based solutions have gained traction due to their scalability and flexibility, allowing organizations to adapt quickly to emerging threats. 


On-Premises models remain critical for sensitive data handling and regulatory compliance, particularly in sectors like finance and healthcare, where data privacy is paramount.Meanwhile, Hybrid deployment is recognized for its versatility, enabling organizations to blend both Cloud and On-Premises capabilities, providing a balanced approach that leverages the benefits of both models. 


This segmentation is crucial as each mode addresses specific needs and challenges, catering to various industry requirements while driving innovation and efficiency in the UK AI in Cybersecurity Market, ultimately leading to improved threat detection and response capabilities. The evolving threat landscape continues to create opportunities for enhanced security solutions across these deployment modes, further solidifying their importance in maintaining cybersecurity resilience.


AI in Cybersecurity Market End Use Insights


The UK AI in Cybersecurity Market showcases significant diversity across its End Use segments, which include BFSI, Healthcare, Government, Retail, and IT and Telecom. The BFSI sector is critical in the UK, as it deals with vast amounts of sensitive financial data, heightening the need for robust cybersecurity solutions powered by AI to combat increasingly sophisticated cyber threats. Similarly, the Healthcare industry requires advanced AI tools to protect patient information amidst a wave of digital transformation, focusing on safeguarding private health records from breaches.In the Government sector, AI plays a vital role in improving national security protocols and safeguarding sensitive data against cyber risks. 


The Retail industry, which continues to grow digitally, demands AI solutions to protect consumer data and enhance fraud detection capabilities. Lastly, the IT and Telecom sector is a leader in integrating AI technologies to bolster network security and address vulnerabilities across diverse platforms. This segmentation highlights the increasing importance of AI-driven cybersecurity measures across various industries in the UK, driven by escalating threats and regulatory compliance requirements.The rapid adoption of innovative technologies in these sectors is likely to enhance overall cybersecurity resilience, providing significant growth opportunities for stakeholders in the market.


AI in Cybersecurity Market Technology Insights


The UK AI in Cybersecurity Market, particularly within the Technology segment, is experiencing robust growth driven by an increasing demand for advanced security measures against evolving cyber threats. As organizations seek to enhance their defenses, technologies like Machine Learning and Deep Learning are becoming vital, offering automated threat detection and response capabilities that significantly improve security posture. Natural Language Processing plays a critical role by enabling systems to analyze and interpret vast amounts of data, aiding in the identification of potential vulnerabilities and threats.


Moreover, Neural Networks contribute to this dynamic landscape by mimicking human decision-making processes, leading to more accurate predictive analyses. The diverse applications of these technologies not only strengthen cybersecurity measures but also present significant cost-saving opportunities by streamlining operations. As the UK continues to prioritize cybersecurity, the emphasis on these advanced technologies is likely to increase, driven by government initiatives and the necessity for businesses to protect sensitive information. In this evolving environment, the segmentation of the UK AI in Cybersecurity Market reflects a strategic response to both current challenges and future opportunities within the industry.


UK AI in Cybersecurity Market 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 Include:



  • 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 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.


UK AI in Cybersecurity Market Segmentation Insights


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


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

 
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


Frequently Asked Questions (FAQ) :

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

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

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

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

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

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

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

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

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

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

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