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    Canada AI in Cybersecurity Market

    ID: MRFR/ICT/57017-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    Canada 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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    Table of Contents

    Canada AI in Cybersecurity Market Summary

    The Canada AI in Cybersecurity market is projected to grow significantly from 1 USD Billion in 2024 to 10 USD Billion by 2035.

    Key Market Trends & Highlights

    Canada AI in Cybersecurity Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 23.28% from 2025 to 2035.
    • By 2035, the market value is anticipated to reach 10 USD Billion, reflecting a robust growth trajectory.
    • In 2024, the market is valued at 1 USD Billion, indicating a strong foundation for future expansion.
    • Growing adoption of AI technologies due to increasing cyber threats is a major market driver.

    Market Size & Forecast

    2024 Market Size 1 (USD Billion)
    2035 Market Size 10 (USD Billion)
    CAGR (2025-2035) 23.28%

    Major Players

    SentinelOne, Carbon Black, Darktrace, Splunk, Tufin, Palo Alto Networks, Check Point Software Technologies, FireEye, Fortinet, McAfee, Cisco, Trend Micro, CrowdStrike, IBM, Proofpoint

    Canada AI in Cybersecurity Market Trends

    Canada AI in cybersecurity market is on the rise, spurred by a growing wave of cyber threats that now target everything from critical infrastructure to core government services. In response, Ottawa is promoting stronger cyber defenses, most visibly through the National Cyber Security Strategy, which has heightened demand for AI-based tools. These technologies help organizations shore up their defenses, automate the spotting of intrusions, and react to incidents with greater speed, all of which match the country’s broader security goals.

    As a result, promising openings exist across Canada for both private companies and public agencies eager to invest in next-generation protective systems.

    As Canadian organizations work hard to safeguard their digital assets, demand for fresh AI tools in threat intelligence, user-behavior analytics, and endpoint security is climbing. Both new startups and long-established firms now see space to offer bespoke AI solutions to finance, healthcare, and public-service clients, which in turn fuels growth. 

    Recent trends show companies teaming up with government bodies to share insights and launch joint research projects, a move aimed at bolstering national cyber-resilience. At the same time, schools and industry groups are ramping up training programs, steadily releasing talent that feeds the innovation pipeline.

    New regulatory rules also nudge firms toward stronger defenses, further building a favorable playing field for AI in cybersecurity across Canada.

    Canada AI in Cybersecurity Market Drivers

    Market Segment Insights

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

    Regional Insights

    Key Players and Competitive Insights

    The Canada AI in Cybersecurity Market is rapidly evolving, driven by the increasing need for advanced security solutions to combat cyber threats. Organizations across various sectors are continuously seeking innovative and intelligent systems that can detect, respond to, and mitigate risks presented by threats. The competitive landscape within this market is shaped by numerous players offering a diverse range of AI-powered cybersecurity solutions. As threats become more sophisticated, companies are leveraging artificial intelligence technology to enhance their security posture, reduce response times, and automate threat detection. 

    Understanding the competitive dynamics in this sector is crucial for stakeholders eager to navigate and identify opportunities in a space characterized by rapid advancements and shifting consumer demands.SentinelOne has established a notable presence in the Canada AI in Cybersecurity Market, focusing on providing endpoint protection solutions powered by artificial intelligence. The company has positioned itself as a leader in autonomous cybersecurity, with its platform designed to prevent, detect, respond to, and remediate cyber threats in real-time.

    SentinelOne's strength lies in its innovative approach, combining machine learning and behavioral analysis to deliver a robust security solution tailored to meet the needs of Canadian organizations. 

    The company’s ability to automatically adapt to changing threat landscapes and its commitment to proactive threat intelligence have made it a favorable choice among businesses looking for reliable cybersecurity measures. Moreover, SentinelOne’s focus on seamless integration with existing IT ecosystems has been pivotal in enhancing user experience and boosting operational efficiency, further solidifying its competitive advantage in the market.Carbon Black is another key player operating within the Canada AI in Cybersecurity Market, offering advanced endpoint protection solutions to address emerging cyber challenges.

    The company specializes in behavioral antivirus technology, which leverages AI and machine learning to enhance threat detection and incident response capabilities. 

    Carbon Black's strengths include its strong market presence and reputation for delivering scalable security solutions tailored to various industry requirements. The company has invested significantly in research and development, emphasizing innovation to stay ahead in the market. Additionally, Carbon Black's strategic partnerships and collaborations have expanded its reach and improved its product offerings in Canada. Notably, its acquisition strategy has allowed the company to integrate advanced technologies and enhance its service portfolio, making its solutions robust against evolving threats.

    Through its comprehensive suite of products and dedication to customer-centric solutions, Carbon Black continues to assert itself as a formidable competitor in the Canadian cybersecurity space.

    Key Companies in the Canada AI in Cybersecurity Market market include

    Industry Developments

    In recent months, the Canada AI in Cybersecurity market has witnessed significant developments. SentinelOne announced enhanced partnerships with Canadian firms, emphasizing their commitment to protecting Canadian enterprises against growing cyber threats. Meanwhile, Fortinet launched a new cybersecurity training program aimed at Canadian businesses to strengthen their defense capabilities, a measure that aligns with Canada's focus on enhancing national cybersecurity infrastructures.

    In terms of mergers and acquisitions, Darktrace made headlines in September 2023 with a strategic acquisition of a small Canadian cybersecurity firm specializing in AI, further bolstering its presence in the Canadian market.

    Additionally, in July 2023, Palo Alto Networks expanded its operations in Canada by acquiring a tech startup, signaling growth and investment in AI-driven cybersecurity solutions. The Canadian government's push for organizations to adopt AI technologies to combat cybersecurity risks has also seen a rise in funding and collaborative projects among these notable companies.

    Over the last couple of years, companies like McAfee and CrowdStrike have seen valuation increases due to the growing demand for sophisticated cybersecurity solutions, with an increased focus on AI integration for better threat detection and response capabilities within the region.

    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 Network

    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 0.8(USD Billion)
    MARKET SIZE 2024 1.0(USD Billion)
    MARKET SIZE 2035 10.0(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 23.285% (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 Billion
    KEY COMPANIES PROFILED SentinelOne, Carbon Black, Darktrace, Splunk, Tufin, Palo Alto Networks, Check Point Software Technologies, FireEye, Fortinet, McAfee, Cisco, Trend Micro, CrowdStrike, IBM, Proofpoint
    SEGMENTS COVERED Application, Deployment Mode, End Use, Technology
    KEY MARKET OPPORTUNITIES Cloud-based security solutions, Automated threat detection systems, Enhanced regulatory compliance tools, AI-driven incident response, Cybersecurity skills shortage solutions
    KEY MARKET DYNAMICS Rapid increase in cyber threats, Growing adoption of AI technologies, Government regulations and compliance, Need for real-time threat detection, Rising investments in cybersecurity solutions
    COUNTRIES COVERED Canada

    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 Canada AI in Cybersecurity Market in 2024?

    The expected market size of the Canada AI in Cybersecurity Market in 2024 is valued at 1.0 billion USD.

    What is the anticipated market value of the Canada AI in Cybersecurity Market by 2035?

    By 2035, the anticipated market value of the Canada AI in Cybersecurity Market is expected to be 10.0 billion USD.

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

    The expected CAGR for the Canada AI in Cybersecurity Market from 2025 to 2035 is 23.285%.

    Which application segment is projected to have the highest market value by 2035?

    The 'Intrusion Detection' application segment is projected to have the highest market value of 2.5 billion USD by 2035.

    What is the market forecast for the 'Threat Intelligence' application segment in 2035?

    The market forecast for the 'Threat Intelligence' application segment is expected to reach 2.0 billion USD by 2035.

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

    Key players in the Canada AI in Cybersecurity Market include SentinelOne, Darktrace, Splunk, Palo Alto Networks, among others.

    What is the projected market size of the 'Security Analytics' application by 2035?

    The projected market size of the 'Security Analytics' application segment is expected to be 3.0 billion USD by 2035.

    How much is the 'Fraud Detection' application segment valued at in 2024?

    The 'Fraud Detection' application segment is valued at 0.15 billion USD in 2024.

    What are the growth drivers for the Canada AI in Cybersecurity Market?

    Growth drivers for the Canada AI in Cybersecurity Market include the increasing need for advanced security solutions and rising cyber threats.

    What is the estimated value of the 'Incident Response' application segment in 2035?

    The estimated value of the 'Incident Response' application segment is expected to reach 1.0 billion USD by 2035.

    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. Canada
    59. AI in Cybersecurity Market, BY Application (USD Billion)
    60. Intrusion
    61. Detection
    62. Threat Intelligence
    63. Fraud
    64. Detection
    65. Security Analytics
    66. Incident
    67. Response
    68. Canada AI in Cybersecurity
    69. Market, BY Deployment Mode (USD Billion)
    70. Cloud-Based
    71. On-Premises
    72. Hybrid
    73. Canada
    74. AI in Cybersecurity Market, BY End Use (USD Billion)
    75. BFSI
    76. Healthcare
    77. Government
    78. Retail
    79. IT
    80. and Telecom
    81. Canada AI in Cybersecurity
    82. Market, BY Technology (USD Billion)
    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. SentinelOne
    114. Financial
    115. Overview
    116. Products Offered
    117. Key
    118. Developments
    119. SWOT Analysis
    120. Key
    121. Strategies
    122. Carbon Black
    123. Financial
    124. Overview
    125. Products Offered
    126. Key
    127. Developments
    128. SWOT Analysis
    129. Key
    130. Strategies
    131. Darktrace
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. Splunk
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. Tufin
    150. Financial
    151. Overview
    152. Products Offered
    153. Key
    154. Developments
    155. SWOT Analysis
    156. Key
    157. Strategies
    158. Palo Alto Networks
    159. Financial
    160. Overview
    161. Products Offered
    162. Key
    163. Developments
    164. SWOT Analysis
    165. Key
    166. Strategies
    167. Check Point Software Technologies
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. FireEye
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. Fortinet
    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. Cisco
    204. Financial
    205. Overview
    206. Products Offered
    207. Key
    208. Developments
    209. SWOT Analysis
    210. Key
    211. Strategies
    212. Trend Micro
    213. Financial
    214. Overview
    215. Products Offered
    216. Key
    217. Developments
    218. SWOT Analysis
    219. Key
    220. Strategies
    221. CrowdStrike
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. IBM
    231. Financial
    232. Overview
    233. Products Offered
    234. Key
    235. Developments
    236. SWOT Analysis
    237. Key
    238. Strategies
    239. Proofpoint
    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. Canada AI in Cybersecurity Market SIZE
    254. ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    255. Canada
    256. AI in Cybersecurity Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT MODE, 2019-2035
    257. (USD Billions)
    258. Canada AI in Cybersecurity Market SIZE
    259. ESTIMATES & FORECAST, BY END USE, 2019-2035 (USD Billions)
    260. Canada
    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. CANADA
    269. AI IN CYBERSECURITY MARKET ANALYSIS BY APPLICATION
    270. CANADA
    271. AI IN CYBERSECURITY MARKET ANALYSIS BY DEPLOYMENT MODE
    272. CANADA
    273. AI IN CYBERSECURITY MARKET ANALYSIS BY END USE
    274. CANADA
    275. AI IN CYBERSECURITY MARKET ANALYSIS BY TECHNOLOGY
    276. KEY
    277. BUYING CRITERIA OF AI IN CYBERSECURITY MARKET
    278. RESEARCH
    279. PROCESS 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

    Canada AI in Cybersecurity Market Segmentation

     

     

     

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

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

     

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

      • Cloud-Based
      • On-Premises
      • Hybrid

     

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

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

     

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

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

     

     

     

     

     

     

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