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    China Applied AI in Cybersecurity Market

    ID: MRFR/ICT/57134-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    China 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

    China Applied AI in Cybersecurity Market Summary

    The China Applied AI in Cybersecurity market is poised for exponential growth, reaching an estimated value of 10936.3 USD Million by 2035.

    Key Market Trends & Highlights

    China Applied AI in Cybersecurity Key Trends and Highlights

    • The market valuation is projected to grow from 240.6 USD Million in 2024 to 10936.3 USD Million by 2035.
    • A compound annual growth rate (CAGR) of 41.48% is anticipated from 2025 to 2035, indicating robust expansion.
    • The increasing demand for advanced threat detection solutions is driving the market forward.
    • Growing adoption of AI technologies due to the rising need for enhanced cybersecurity measures is a major market driver.

    Market Size & Forecast

    2024 Market Size 240.6 (USD Million)
    2035 Market Size 10936.3 (USD Million)
    CAGR (2025-2035) 41.48%

    Major Players

    Baidu, Ping An Technology, Qihoo 360, CloudWalk Technology, Megvii, ZhiLi Technology, ISoftStone, Tencent, DeepGlint, Nsfocus, JD.com, Huawei, YITU Technology, SenseTime, Alibaba

    China Applied AI in Cybersecurity Market Trends

    The China Applied AI in Cybersecurity Market is emerging as a new industrial segment with immense potential for growth owing to some key market drivers. The cyber incidents are increasing, which is creating more opportunities, so clearly one of the motivating factors is the rising number of security issues. The adoption rate has steadily increased as authorities promote the use of modern technologies like AI integration into cybersecurity systems, thus improving the real-time threat detection and response systems on a national level.

    There is also a trend towards an increase in automation and machine learning solutions being utilized by enterprises to better their defense against cyber threats.

    Chinese businesses are increasingly interested in artificial intelligence driven systems that can analyze large datasets to detect anomalies and sophisticated threats more rapidly. Additionally, due to national policies such as the Cybersecurity Law, these companies now have to invest in more sophisticated technology as they need to meet new security compliance requirements. This has created a greater applied AI industry opportunity. Startups and even well established companies have the chance to develop cybersecurity AI solutions tailored for targeted sectors use within China’s diverse economy.

    Sectors like finance, healthcare, and critical infrastructure are especially looking for advanced AI technologies that safeguard sensitive data while ensuring seamless uninterrupted operations.

    The joint efforts of industrialists and researchers from higher learning institutions in China seek to advance the application of artificial intelligence in cybersecurity so as to build fundamental security mechanisms needed for advanced protections while driving further innovations. Generally speaking, AI integration into cybersecurity is ready to transform China’s landscape, providing fresh avenues for development and stronger defenses.

    China 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 China Applied AI in Cybersecurity Market is experiencing substantial growth, particularly when analyzed through the lens of Organization Size. This segmentation reveals distinct dynamics in how small and medium-sized enterprises (SMEs) and large enterprises are integrating AI-driven cybersecurity solutions. With the rapid digitalization of businesses across China, the demand for robust cybersecurity measures is increasing, significantly impacting market trends. SMEs, representing a considerable portion of China's economy, face unique challenges in cybersecurity, such as limited resources and expertise, making them increasingly reliant on applied AI technologies to enhance their security posture efficiently.

    These enterprises are adopting AI solutions to automate threat detection and response, which is vital in the current landscape of escalating cyber threats. Conversely, large enterprises, often equipped with more substantial resources, are more focused on implementing comprehensive AI frameworks to safeguard vast amounts of data. They tend to engage in Research and Development initiatives that push the boundaries of applied AI capabilities in cybersecurity.

    The adoption rates among these organizations are rising significantly as they recognize the urgent need to mitigate risks associated with cyber-attacks.In this context, the China Applied AI in Cybersecurity Market showcases a strong growth potential driven by increasing awareness and urgency among organizations of varying sizes, each tailoring their cybersecurity strategies to their unique operational requirements. 

    The segmentation highlights important trends where both SMEs and large enterprises are significantly contributing to the overall market growth, reflecting a broader shift toward the integration of advanced cybersecurity measures facilitated by applied AI technologies. The growth drivers within this segment include escalating cyber threats, regulatory compliance demands, and the overall push for digital transformation across industries.As China continues to enhance its technological infrastructure and regulatory frameworks, the outlook for the Applied AI in Cybersecurity Market remains optimistic, fueled by ongoing investments and innovation in protective technologies. 

    Applied AI in Cybersecurity Market Security Type Insights

    Applied AI in Cybersecurity Market Security Type Insights

    The China Applied AI in Cybersecurity Market has shown significant development within the Security Type segment, reflecting the growing emphasis on securing information in an increasingly digital landscape. Key areas like Network Security, which safeguards data during transmission, have become critical as cyber threats evolve. Endpoint Security is equally crucial, especially with the rise of remote work practices, ensuring that devices are protected against various threats. Application Security focuses on securing software applications and is essential given the proliferation of web-based services.

    Cloud Security has gained traction due to the growing adoption of cloud infrastructures, requiring robust solutions to protect sensitive data and applications stored online.

    Moreover, Industrial Control Systems (ICS) Security is becoming pivotal as more industries digitize their operations. The Internet of Things (IoT) Security is increasingly significant, given the expansive connectivity of devices that brings new vulnerabilities. Identity and Access Management is vital for ensuring that only authorized users gain access to sensitive information, while Risk and Compliance Management is essential to meet regulatory requirements. Data Loss Prevention solutions protect essential data from accidental loss or theft. Unified Threat Management systems consolidate security features into a single platform, simplifying complex security needs.

    Security and Vulnerability Management involves continuous monitoring and management of systems to mitigate risks. 

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

    Regional Insights

    Key Players and Competitive Insights

    The China Applied AI in Cybersecurity Market is experiencing a significant transformation, driven by advances in artificial intelligence and an increasing need for robust cybersecurity measures. With cyber threats becoming more sophisticated, businesses and organizations are actively seeking innovative solutions to protect their data and digital infrastructure. In a market that is largely defined by rapid technological evolution and heightened regulatory scrutiny, players are investing heavily in research and development to stay competitive.

    The landscape is characterized by various stakeholders, including startups, established technology firms, and specialized cybersecurity companies, all vying for a share of a booming market that relies heavily on AI-driven solutions for threat detection, incident response, and predictive analytics. 

    Meanwhile, collaborative efforts between different entities and strategic partnerships are gaining traction, further intensifying competition as businesses strive for digital resilience.Baidu has emerged as a formidable player in the China Applied AI in Cybersecurity Market, capitalizing on its extensive expertise in artificial intelligence and big data analytics. The company's strengths lie in its sophisticated AI algorithms and machine learning capabilities that offer advanced threat detection and response systems tailored to local cybersecurity challenges.

    Baidu's commitment to innovation is evidenced by its substantial investments in AI research, enabling the company to develop cutting-edge solutions that enhance the security posture of its clients. With a strong reputation as a leader in the AI domain, Baidu leverages its vast ecosystem, including online platforms and cloud services, to provide scalable and integrated cybersecurity solutions. 

    This holistic approach not only reinforces its market presence but also enhances its ability to address a diverse range of customer needs in a rapidly evolving threat landscape.Ping An Technology stands out in the China Applied AI in Cybersecurity Market by integrating its financial services expertise with advanced cybersecurity solutions. The company's focus on risk management and data security has allowed it to build a robust suite of products and services specifically designed for the financial sector.

    The strengths of Ping An Technology lie in its comprehensive cybersecurity frameworks, which utilize machine learning and big data analytics to identify, assess, and mitigate risks effectively. 

    The company's strategic mergers and acquisitions have further solidified its market position, enabling it to expand its technological capabilities and service offerings. Through continuous innovation and a customer-centric approach, Ping An Technology remains well-positioned to cater to the cybersecurity needs of enterprises in China, focusing on creating resilient infrastructures that can withstand evolving cyber threats.

    Key Companies in the China 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 193.24(USD Million)
    MARKET SIZE 2024 240.62(USD Million)
    MARKET SIZE 2035 10936.3(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 41.477% (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 Baidu, Ping An Technology, Qihoo 360, CloudWalk Technology, Megvii, ZhiLi Technology, ISoftStone, Tencent, DeepGlint, Nsfocus, JD.com, Huawei, YITU Technology, SenseTime, Alibaba
    SEGMENTS COVERED Organization Size, Security Type
    KEY MARKET OPPORTUNITIES Advanced threat detection solutions, Automated incident response systems, Enhanced security analytics tools, AI-driven compliance monitoring, Integrated IoT security frameworks
    KEY MARKET DYNAMICS increasing cyber threats, government regulations, technological advancements, rising demand for automation, investment in R&D
    COUNTRIES COVERED China

    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 China Applied AI in Cybersecurity Market in 2024?

    The expected market size of the China Applied AI in Cybersecurity Market in 2024 is 240.62 million USD.

    What is the projected market size for the China Applied AI in Cybersecurity Market by 2035?

    By 2035, the market is projected to reach a size of 10,936.3 million USD.

    What is the expected CAGR for the China Applied AI in Cybersecurity Market from 2025 to 2035?

    The expected CAGR for the market from 2025 to 2035 is 41.477 percent.

    How is the market divided based on organization size in the China Applied AI in Cybersecurity Market?

    The market is divided into two sub-segments based on organization size: SMEs and Large Enterprises.

    What is the market value for SMEs in the China Applied AI in Cybersecurity Market in 2024?

    The market value for SMEs in 2024 is expected to be 72.18 million USD.

    What is the projected market size for Large Enterprises in this sector by 2035?

    The projected market size for Large Enterprises by 2035 is approximately 7,711.34 million USD.

    Who are the key players in the China Applied AI in Cybersecurity Market?

    Major players in the market include Baidu, Tencent, Alibaba, and Huawei, among others.

    What are the key applications driving the growth of the China Applied AI in Cybersecurity Market?

    Key applications include threat detection, incident response, and risk management in cybersecurity.

    What opportunities are being seen in the China Applied AI in Cybersecurity Market?

    Significant opportunities are present due to increasing cyber threats and the growing need for advanced security solutions.

    How has the competitive landscape changed in the China Applied AI in Cybersecurity Market?

    The competitive landscape has evolved with the emergence of innovative players and advancements in AI technologies.

    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. China
    59. Applied AI in Cybersecurity Market, BY Organization Size (USD Million)
    60. SMEs
    61. Large
    62. Enterprise
    63. China 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. Baidu
    114. Financial
    115. Overview
    116. Products Offered
    117. Key
    118. Developments
    119. SWOT Analysis
    120. Key
    121. Strategies
    122. Ping An Technology
    123. Financial
    124. Overview
    125. Products Offered
    126. Key
    127. Developments
    128. SWOT Analysis
    129. Key
    130. Strategies
    131. Qihoo 360
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. CloudWalk Technology
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. Megvii
    150. Financial
    151. Overview
    152. Products Offered
    153. Key
    154. Developments
    155. SWOT Analysis
    156. Key
    157. Strategies
    158. ZhiLi Technology
    159. Financial
    160. Overview
    161. Products Offered
    162. Key
    163. Developments
    164. SWOT Analysis
    165. Key
    166. Strategies
    167. ISoftStone
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. Tencent
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. DeepGlint
    186. Financial
    187. Overview
    188. Products Offered
    189. Key
    190. Developments
    191. SWOT Analysis
    192. Key
    193. Strategies
    194. Nsfocus
    195. Financial
    196. Overview
    197. Products Offered
    198. Key
    199. Developments
    200. SWOT Analysis
    201. Key
    202. Strategies
    203. JD.com
    204. Financial
    205. Overview
    206. Products Offered
    207. Key
    208. Developments
    209. SWOT Analysis
    210. Key
    211. Strategies
    212. Huawei
    213. Financial
    214. Overview
    215. Products Offered
    216. Key
    217. Developments
    218. SWOT Analysis
    219. Key
    220. Strategies
    221. YITU Technology
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. SenseTime
    231. Financial
    232. Overview
    233. Products Offered
    234. Key
    235. Developments
    236. SWOT Analysis
    237. Key
    238. Strategies
    239. Alibaba
    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. China Applied AI in Cybersecurity Market
    254. SIZE ESTIMATES & FORECAST, BY ORGANIZATION SIZE, 2019-2035 (USD Billions)
    255. China
    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. CHINA
    264. APPLIED AI IN CYBERSECURITY MARKET ANALYSIS BY ORGANIZATION SIZE
    265. CHINA
    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

    China 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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