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    India Applied AI in Cybersecurity Market

    ID: MRFR/ICT/57133-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    India 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

    India Applied AI in Cybersecurity Market Summary

    The India Applied AI in Cybersecurity market is poised for substantial growth, projected to reach 1035.3 USD Million by 2035.

    Key Market Trends & Highlights

    India Applied AI In Cybersecurity Key Trends and Highlights

    • The market valuation is expected to grow from 171.9 USD Million in 2024 to 1035.3 USD Million by 2035.
    • The compound annual growth rate (CAGR) for the period from 2025 to 2035 is estimated at 17.73%.
    • This growth trajectory indicates a robust expansion in the adoption of AI technologies within the cybersecurity sector.
    • Growing adoption of AI-driven solutions due to increasing cyber threats is a major market driver.

    Market Size & Forecast

    2024 Market Size 171.9 (USD Million)
    2035 Market Size 1035.3 (USD Million)
    CAGR (2025-2035) 17.73%

    Major Players

    Symantec, Darktrace, Tech Mahindra, Kaspersky, Cisco Systems, Palo Alto Networks, Infosys, Trend Micro, McAfee, Curemetrix, Hewlett Packard Enterprise, IBM, Accenture, Wipro, Tata Consultancy Services

    India Applied AI in Cybersecurity Market Trends

    The growth of the India Applied AI in Cybersecurity Market is accompanied by notable advancements influenced by critical drivers. One of the primary factors compelling industries to adopt AI-enabled solutions is the growing incidences of cyber threats and attacks on businesses and government institutions in India. There is also a surge in data generated due to new transformations such as Digitale India Initiatives which require high level artificial intelligence powered cybersecurity technologies for protection.

    Added to this is the need to defend sensitive information from prying eyes beyond conventional systems, especially with an upsurge in remote work following pandemic, demanding advanced AI solutions because traditional security infrastructures have proven insufficient.

    In this industry, possibilities include partnerships between tech startups and larger corporations that can use AI to offer custom-tailored cybersecurity services. They are also looking at the importance of indigenous AI solutions for protecting critical infrastructures owing to government policies like the National Cyber Security Policy. Moreover, India’s vast pool of skilled IT experts serves as an attractive area for investment and development. These professionals stand uniquely positioned to create new applications of AI in cybersecurity. Recent trends suggest increasing investment in real-time threat detection systems employing machine learning algorithms and assisting organizations in risk mitigation.

    Firms are investing in technologies that will automate incident response actions to minimize consequences from cyber-attacks. Moreover, targeted responsibility around the application of AIs is on the rise aiming at ensuring accountability on AI utilization within cybersecurity domains with transparent processes. The Indian market is starting to shift towards utilizing tools based on predictive analysis powered by AI which increases anticipatory capabilities directed towards prevention of more advanced cyber threat risks.

    All and all, underlying motives coupled with creative approaches interweaving innovations driven by necessity continues directing how digital security evolves in India with the ever-increasing presence of AIs within their frameworks.

    India 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 India Applied AI In Cybersecurity Market represents a critical dimension of the overall market landscape, resulting in unique needs and challenges for different types of organizations. As the digital transformation progresses rapidly across India, sectors like finance, healthcare, and telecommunications increasingly recognize the importance of integrating Applied AI technologies to enhance their cybersecurity measures.

    Small and Medium Enterprises (SMEs) are on a journey to embrace these advanced technologies, often aiming for cost-effective solutions while ensuring robust security against evolving cyber threats.This segment is significant as SMEs account for a large portion of the Indian economy, and securing their digital assets is crucial for maintaining overall economic stability and growth. 

    On the other hand, Large Enterprises tend to dominate the market due to their substantial investment capabilities and the high complexity of their cybersecurity requirements, leading to the deployment of more sophisticated Applied AI solutions. These larger organizations usually have dedicated Research and Development teams and a more structured approach to cybersecurity, allowing them to leverage advanced analytics and machine learning capabilities to anticipate threats actively.In India, government initiatives and industry bodies have been promoting the adoption of AI in cybersecurity, providing opportunities for both SMEs and large players to innovate and enhance their security infrastructure. 

    The increasing frequency of cyber-attacks and regulatory pressures compel organizations of all sizes to adopt robust AI-driven cybersecurity strategies, making this segment crucial for the entire market. The diversification of needs between SMEs and larger enterprises creates a dynamic market environment in which tailored solutions can thrive, responding to the distinct challenges faced by different organization sizes.The India Applied AI In Cybersecurity Market is thus characterized by an ongoing evolution in response to organizational demands and the growing sophistication of cyber threats, driving continuous improvements in security protocols and tools across the country.

    Applied AI In Cybersecurity Market Security Type Insights

    Applied AI In Cybersecurity Market Security Type Insights

    The India Applied AI In Cybersecurity Market focuses significantly on the Security Type segment, which comprises various critical areas. Network Security ensures robust protection of data flow across networks, becoming increasingly essential due to the rising incidents of cyber threats. Endpoint Security is vital, particularly as remote work proliferates, securing devices that connect to corporate networks. Application Security safeguards applications from vulnerabilities, while Cloud Security addresses the unique challenges posed by cloud infrastructures.Additionally, ICS Security is important for protecting industrial control systems, which are crucial for maintaining operational safety.

    With the growth of IoT, IoT Security has emerged as a priority to protect connected devices from exploitation. Similarly, Identity and Access Management is fundamental for securing user access to sensitive information. 

    Risk and Compliance Management assists organizations in adhering to regulations, while Data Loss Prevention ensures sensitive data is not inadvertently shared or lost. Unified Threat Management represents a comprehensive approach to filtering security threats.Security and Vulnerability Management routinely assesses and mitigates potential risks. Antivirus and Antimalware solutions remain essential for combating pervasive threats, while Fraud Detection and Intrusion Detection/Prevention Systems are critical for real-time threat response. Finally, Threat Intelligence provides valuable insights into emerging security risks, making it a vital area of focus in the evolving cybersecurity landscape.

    Each of these areas plays a significant role in forming a robust cybersecurity posture amidst an increasingly complex threat environment in India.

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

    Regional Insights

    Key Players and Competitive Insights

    The India Applied AI in Cybersecurity Market is witnessing significant growth driven by the increasing volume of cyber threats and the need for more advanced security solutions. Organizations are increasingly adopting AI-driven cybersecurity technologies to enhance their defense mechanisms against sophisticated threats such as ransomware, phishing, and data breaches. The competitive landscape is characterized by a mix of established players and emerging startups, all vying to provide best-in-class solutions that offer predictive security, real-time threat detection, and automated response capabilities.

    The demand for advanced analytics, machine learning, and AI-driven automation is shaping the market, as companies seek to streamline their security operations while improving efficacy and reducing response times. 

    Additionally, the proliferation of remote work and the increasing reliance on cloud infrastructures create more opportunities and challenges for cybersecurity firms, making innovation and adaptability key factors for success.Symantec, a leader in the cybersecurity domain, has a robust presence in the India Applied AI in Cybersecurity Market. The company leverages its advanced AI capabilities to deliver integrated solutions that focus on threat detection and response. Symantec’s strengths in this market stem from its comprehensive portfolio of products designed to protect endpoints, networks, and cloud environments.

    By combining machine learning with expert threat intelligence, Symantec is able to offer predictive analytics and quicker incident responses that are vital for businesses operating in an increasingly complex digital landscape. Its established reputation and extensive customer base in India are a testament to its effective implementation of AI in cybersecurity, ensuring organizations can confidently navigate potential threats with strong protective measures in place.

    Darktrace has emerged as a prominent player in the India Applied AI in Cybersecurity Market, known for its innovative approach to cyber defense through artificial intelligence. The company's flagship product, the Enterprise Immune System, utilizes machine learning to identify and respond to cybersecurity threats in real-time. Darktrace's strength lies in its ability to deploy self-learning AI that adapts to the unique environments of its clients, providing tailored security solutions. The firm has garnered significant market presence through strategic partnerships and has engaged in mergers and acquisitions to expand its AI capabilities.

    Darktrace continually invests in research and development to enhance its product offerings, making its solutions increasingly relevant for Indian businesses facing a rapidly evolving threat landscape. With strong market recognition, it effectively caters to the diverse needs of sectors ranging from finance to healthcare, ensuring that organizations can fortify their defenses against emerging cyber threats.

    Key Companies in the India 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 138.03(USD Million)
    MARKET SIZE 2024 171.88(USD Million)
    MARKET SIZE 2035 1035.32(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 17.733% (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 Symantec, Darktrace, Tech Mahindra, Kaspersky, Cisco Systems, Palo Alto Networks, Infosys, Trend Micro, McAfee, Curemetrix, Hewlett Packard Enterprise, IBM, Accenture, Wipro, Tata Consultancy Services
    SEGMENTS COVERED Organization Size, Security Type
    KEY MARKET OPPORTUNITIES Threat detection automation, Fraud prevention solutions, AI-driven incident response, Advanced threat intelligence, Proactive risk assessment tools
    KEY MARKET DYNAMICS growing cyber threats, increasing government regulations, rising adoption of cloud services, need for real-time threat detection, shortage of skilled cybersecurity professionals
    COUNTRIES COVERED India

    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 India Applied AI In Cybersecurity Market in 2024?

    The India Applied AI In Cybersecurity Market is expected to be valued at 171.88 USD Million in 2024.

    What is the projected market size for the India Applied AI In Cybersecurity Market by 2035?

    By 2035, the market is expected to reach a valuation of 1035.32 USD Million.

    What is the expected CAGR for the India Applied AI In Cybersecurity Market from 2025 to 2035?

    The expected CAGR for the market during this period is 17.733%.

    What will be the market value for SMEs in the India Applied AI In Cybersecurity Market by 2035?

    The market value for SMEs is projected to reach 328.32 USD Million by 2035.

    What will be the market size for Large Enterprises in the India Applied AI In Cybersecurity Market by 2035?

    The projected market size for Large Enterprises by 2035 is 707.0 USD Million.

    Which companies are the major players in the India Applied AI In Cybersecurity Market?

    Major players include Symantec, Darktrace, Tech Mahindra, and Kaspersky, among others.

    What growth opportunities exist in the India Applied AI In Cybersecurity Market?

    The rapid increase in cyber threats and demand for automated security solutions present significant growth opportunities.

    What challenges does the India Applied AI In Cybersecurity Market face?

    Challenges include the high cost of implementation and a shortage of skilled professionals in the field.

    Are there any emerging trends impacting the India Applied AI In Cybersecurity Market?

    Emerging trends include the integration of advanced machine learning techniques and real-time threat detection.

    How does the current global scenario affect the India Applied AI In Cybersecurity Market?

    The rising number of cyberattacks worldwide is driving increased investment and development in cybersecurity 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. India
    59. Applied AI In Cybersecurity Market, BY Organization Size (USD Million)
    60. SMEs
    61. Large
    62. Enterprise
    63. India Applied AI
    64. In 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. Symantec
    114. Financial
    115. Overview
    116. Products Offered
    117. Key
    118. Developments
    119. SWOT Analysis
    120. Key
    121. Strategies
    122. Darktrace
    123. Financial
    124. Overview
    125. Products Offered
    126. Key
    127. Developments
    128. SWOT Analysis
    129. Key
    130. Strategies
    131. Tech Mahindra
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. Kaspersky
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. Cisco Systems
    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. Infosys
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. Trend Micro
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. McAfee
    186. Financial
    187. Overview
    188. Products Offered
    189. Key
    190. Developments
    191. SWOT Analysis
    192. Key
    193. Strategies
    194. Curemetrix
    195. Financial
    196. Overview
    197. Products Offered
    198. Key
    199. Developments
    200. SWOT Analysis
    201. Key
    202. Strategies
    203. Hewlett Packard Enterprise
    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. Accenture
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. Wipro
    231. Financial
    232. Overview
    233. Products Offered
    234. Key
    235. Developments
    236. SWOT Analysis
    237. Key
    238. Strategies
    239. Tata Consultancy Services
    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. India Applied AI In Cybersecurity Market
    254. SIZE ESTIMATES & FORECAST, BY ORGANIZATION SIZE, 2019-2035 (USD Billions)
    255. India
    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. INDIA
    264. APPLIED AI IN CYBERSECURITY MARKET ANALYSIS BY ORGANIZATION SIZE
    265. INDIA
    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

    India 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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