• Cat-intel
  • MedIntelliX
  • Consulting
  • Resources
  • About Us
  • News
  • Careers
  • Contact Us
  • Login
    • Request Free Sample ×
    ReportInfographic

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor

    China Generative Ai In Data Analytics Market

    ID: MRFR/ICT/58541-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    China Generative AI in Data Analytics Market Research Report By Deployment (Cloud-Based, On-premise), By Technology (Machine learning, Natural Language Processing, Deep learning, Computer vision, Robotic Process Automation) and By Application (Data Augmentation, Anomaly Detection, Text Generation, Simulation and Forecasting)-Forecast to 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    China Generative Ai In Data Analytics Market Research Report-Forecast to 2035 Infographic
    Purchase Options
    $ 4,950.0
    $ 5,950.0
    $ 7,250.0
    Compare License
    Table of Contents

    China Generative Ai In Data Analytics Market Summary

    The China Generative AI in Data Analytics market is projected to grow from 12.5 USD Billion in 2024 to 45 USD Billion by 2035.

    Key Market Trends & Highlights

    China Generative AI in Data Analytics Key Trends and Highlights

    • The market is expected to expand at a compound annual growth rate of 12.35 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 45 USD Billion, indicating robust growth potential.
    • In 2024, the market is valued at 12.5 USD Billion, laying a strong foundation for future expansion.
    • Growing adoption of generative AI technologies due to increasing demand for data-driven decision making is a major market driver.

    Market Size & Forecast

    2024 Market Size 12.5 (USD Billion)
    2035 Market Size 45 (USD Billion)
    CAGR (2025 - 2035) 12.35%

    Major Players

    Alibaba Group (CN), Tencent Holdings (CN), China Mobile (CN), Baidu (CN), JD.com (CN), China National Petroleum (CN), China State Construction Engineering (CN), Industrial and Commercial Bank of China (CN), China Life Insurance (CN)

    China Generative Ai In Data Analytics Market Trends

    Rapid digital transformation and a strong push for innovation from the public and commercial sectors are driving the growth of the China Generative AI in Data Analytics Market. AI has received a lot of attention from the Chinese government, which is consistent with its national ambition to lead the world in technology. This dedication creates an atmosphere that is ideal for generative AI developments, especially in industries where data analytics is essential, such as retail, healthcare, and finance.

    Chinese businesses are looking more and more to use generative AI to boost operational effectiveness and decision-making, giving them a competitive advantage in the marketplace. Numerous industries have significant chances to use generative AI in data analytics. Numerous businesses are aware of how AI tools may be used to examine big data sets for insights, predictive modeling, and consumer interaction. In addition to reducing dependency on foreign technology, sustained expenditures in AI research and development are probably going to result in platforms made especially for regional companies.

    Furthermore, modules that concentrate on real-time data analytics have a lot of potential given the growing amount of data being collected. In order to develop generative AI applications, Chinese universities, research institutes, and tech corporations have been working together more and more in recent years.

    Government programs that encourage entrepreneurship in AI development have contributed to the success of startup ecosystems. Additionally, there is an increasing need for competent workers in data analytics, which indicates a trend toward educational programs that concentrate on this area. The field of generative AI in data analytics is rapidly changing as businesses look to adopt innovative solutions, making it a key area of technical growth in China.

    China Generative Ai In Data Analytics Market Drivers

    Market Segment Insights

    Generative AI in Data Analytics Market Deployment Insights

    The Deployment segment within the China Generative AI in Data Analytics Market showcases significant potential as enterprises increasingly leverage advanced technologies for data management and analysis. As organizations across various industries recognize the strategic importance of harnessing large volumes of data, the demand for effective deployment strategies has surged. The Cloud-Based segment has emerged as a crucial player, offering scalability, flexibility, and cost-effective solutions that allow businesses to access powerful AI tools without heavy investment in infrastructure.

    This deployment type enables rapid adaptation to changing data environments and enhances collaboration among teams, which is especially pertinent in China's rapidly evolving digital landscape. In contrast, the On-premise deployment caters to businesses with stringent data privacy requirements or specific compliance needs, allowing them to maintain greater control over their data assets.

    This deployment model addresses critical concerns regarding data security and information integrity, which continue to be prominent in sectors such as finance, healthcare, and government.As the China Generative AI in Data Analytics Market evolves, organizations are expected to explore a mix of deployment strategies to balance operational efficiency with regulatory compliance.

    Furthermore, as the local government promotes initiatives to advance AI research and integration into various sectors, the foundation for growth in both Cloud-Based and On-premise deployments is established. With the recognition of AI's potential to enhance decision-making and predictive analytics, this segment is likely to play a vital role in shaping the market dynamics in the coming years.Companies integrating these deployment strategies will also likely benefit from government support, further propelling the adoption of Generative AI in data analytics within the region.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Generative AI in Data Analytics Market Technology Insights

    The Technology segment of the China Generative AI in Data Analytics Market is evolving rapidly, driven by advancements in various core technologies including Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, and Robotic Process Automation. Machine Learning techniques dominate the landscape due to their ability to analyze vast amounts of data efficiently.

    Natural Language Processing is significant as it allows machines to understand and interpret human language, making data analysis more accessible to users. Deep Learning continues to grow in importance, offering superior modeling capabilities for complex datasets, while Computer Vision enables machines to interpret and make decisions based on visual data, playing a crucial role in industries like healthcare and security.Robotic Process Automation streamlines repetitive tasks, improving operational efficiency across sectors.

    Collectively, these technologies offer a comprehensive foundation for enhanced data analytics, enabling businesses in China to harness AI for strategic decision-making and process optimization. As China's economy increasingly leverages data-driven insights, the demand for these technologies is poised for substantial growth, further impacting the landscape of the Generative AI sector within the region.

    Generative AI in Data Analytics Market Application Insights

    The Application segment of the China Generative AI in Data Analytics Market is seeing substantial growth, underpinning the increasing demand for advanced analytical tools across various industries. In this space, Data Augmentation is notable for improving the robustness of machine learning models by enhancing training datasets, particularly crucial in sectors like healthcare and finance where data scarcity can hinder performance.

    Anomaly Detection plays a vital role in cybersecurity and fraud prevention, as businesses strive to identify unusual patterns and behaviors that may indicate a threat.Text Generation, powered by natural language processing, is transforming customer service through automated content creation and personalized communication, helping companies save time and enhance user engagement.

    Simulation presents opportunities for risk assessment and strategic planning, allowing businesses to project outcomes based on different variables effectively. Lastly, Forecasting is instrumental for industries such as logistics and retail, where anticipating market trends and demand can lead to optimized resource allocation and improved operational efficiency.Collectively, these applications are set to shape the landscape of data analytics in China, driving market growth as they address specific industry needs and promote intelligent decision-making.

    Get more detailed insights about China Generative Ai In Data Analytics Market Research Report-Forecast to 2035

    Request Free Sample

    Regional Insights

    Key Players and Competitive Insights

    The China Generative AI in Data Analytics Market has been experiencing rapid advancements, showcasing a dynamic and competitive landscape. This market has become increasingly significant as businesses and government entities seek to harness the power of data to drive decision-making, enhance operational efficiency, and create innovative solutions. The integration of generative AI technologies within data analytics is transforming how data is processed, interpreted, and utilized across various industries, facilitating deeper insights and more strategic actions.

    As organizations invest heavily in these cutting-edge technologies, competition among key players is intensifying, with companies striving to differentiate themselves through innovative offerings and improved service delivery.Didi Chuxing has established a robust presence within the China Generative AI in Data Analytics Market, utilizing its strengths in mobility data analytics to streamline operations and enhance customer experiences. The company has invested significantly in AI-driven solutions that allow for real-time analysis of transportation data, enabling more efficient route planning and improved service reliability.

    By leveraging its extensive user base and data resources, Didi Chuxing is positioned to develop advanced machine learning models that enhance predictive analytics capabilities. This focus on generative AI in data analytics enables the company to not only improve its operational efficiencies but also provide valuable insights to partners and local governments, thereby solidifying its position in this rapidly evolving market.JD.com has carved out a significant niche in the China Generative AI in Data Analytics Market through its commitment to technological innovation and advanced supply chain management solutions.

    The company's focus on automating logistics and delivering insights through data-driven analytics has positioned it as a leader in integrating generative AI capabilities within its operations. JD.com offers key products and services centered around e-commerce analytics, inventory management, and personalized consumer insights.

    Its market presence is bolstered by strategic mergers and acquisitions that have expanded its technological capabilities and enriched its data assets. By continually investing in AI research and development, JD.com demonstrates its strengths in harnessing generative AI for enhanced customer engagement and operational excellence, ultimately driving its growth and leadership within the competitive regulatory landscape of China's data analytics market.

    Key Companies in the China Generative Ai In Data Analytics Market market include

    Industry Developments

    The China Generative AI in Data Analytics Market has seen significant developments, with companies like Alibaba Group and Tencent enhancing their AI capabilities to support data-driven decision-making. At the Central Urban Work Conference in July 2025, Chinese President Xi Jinping warned officials and local governments against making unrestrained investments in AI and electric vehicles. He emphasized the dangers of overcapacity, deflation, duplication initiatives, and wasted semiconductor resources, especially in isolated areas like Inner Mongolia and Xinjiang.

    MuseSteamer, a business-focused AI video generator that can produce brief movies (up to 10 seconds) from photos, was unveiled by Baidu on July 2, 2025. In an attempt to remain competitive with OpenAI, ByteDance, Tencent, and Alibaba, it has improved its search engine to better handle longer queries, voice/image input, and tailored results.

    Additionally, the Chinese government continues to support AI development through initiatives aimed at creating a favorable regulatory environment, fostering an ecosystem for innovation and competition. Over the past few years, substantial investments have driven the market, with notable advancements occurring since 2021, positioning China as a global leader in AI technologies and applications for data analytics.

    Market Segmentation

    Generative AI in Data Analytics Market Deployment Outlook

    • Machine learning
    • Natural Language Processing
    • Deep learning
    • Computer vision
    • Robotic Process Automation

    Generative AI in Data Analytics Market Technology Outlook

    • Data Augmentation
    • Anomaly Detection
    • Text Generation
    • Simulation and Forecasting

    Generative AI in Data Analytics Market Application Outlook

    • Data Augmentation
    • Anomaly Detection
    • Text Generation
    • Simulation and Forecasting

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 0.4(USD Million)
    MARKET SIZE 2024 0.63(USD Million)
    MARKET SIZE 2035 77.85(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 54.952% (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 Didi Chuxing, JD.com, Tencent, Alibaba Group, ZTE, NEC China, Huawei, iFlytek, SenseTime, Ping An Technology, Baidu, Megvii, Xiaomi, Lucky Cat Holdings, Pinduoduo
    SEGMENTS COVERED Deployment, Technology, Application
    KEY MARKET OPPORTUNITIES Automated insights generation, Enhanced predictive analytics, Customizable AI solutions, Data-driven decision-making support, Real-time analytics optimization
    KEY MARKET DYNAMICS Rising demand for data insights, Increased automation in analytics, Government support for AI initiatives, Growing enterprise investments in AI, Competitive landscape intensifying
    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.

    Get In Touch
    Leave a Comment

    FAQs

    What is the expected market size of the China Generative AI in Data Analytics Market in 2024?

    The market size for the China Generative AI in Data Analytics Market is expected to be valued at 0.63 million USD in 2024.

    What will be the projected market size by 2035?

    The projected market size for the China Generative AI in Data Analytics Market by 2035 is anticipated to reach approximately 77.85 million USD.

    What is the expected CAGR for the market from 2025 to 2035?

    The expected compound annual growth rate, or CAGR, for the China Generative AI in Data Analytics Market from 2025 to 2035 is 54.952%.

    What are the key players in the China Generative AI in Data Analytics Market?

    Major players in the market include Didi Chuxing, JD.com, Tencent, and Alibaba Group among others.

    What is the estimated market value for the Cloud-Based deployment segment in 2024?

    The Cloud-Based deployment segment of the market is expected to be valued at 0.38 million USD in 2024.

    What market value is projected for the On-premise deployment segment in 2035?

    The On-premise deployment segment is projected to reach a market value of 29.19 million USD by 2035.

    What are the growth drivers for the China Generative AI in Data Analytics Market?

    The rapid advancements in AI technology and increasing demand for efficient data analytics are key growth drivers for the market.

    How is the global market scenario affecting the Generative AI in Data Analytics Market?

    The current global market scenario has created both opportunities and challenges for the Generative AI in Data Analytics Market.

    Which deployment segment is expected to dominate the market by 2035?

    The Cloud-Based deployment segment is expected to dominate the market with an estimated value of 48.66 million USD by 2035.

    What are the emerging trends in the Generative AI in Data Analytics Market?

    Emerging trends include increased adoption of cloud technologies and improved algorithms for data analysis in the Generative AI sector.

    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. Generative AI in Data Analytics Market, BY Deployment (USD Million)
    60. Cloud-Based
    61. On-premise
    62. China
    63. Generative AI in Data Analytics Market, BY Technology (USD Million)
    64. Machine
    65. learning
    66. Natural Language Processing
    67. Deep
    68. learning
    69. Computer vision
    70. Robotic
    71. Process Automation
    72. China Generative
    73. AI in Data Analytics Market, BY Application (USD Million)
    74. Data
    75. Augmentation
    76. Anomaly Detection
    77. Text
    78. Generation
    79. Simulation and Forecasting
    80. Competitive Landscape
    81. Overview
    82. Competitive
    83. Analysis
    84. Market share Analysis
    85. Major
    86. Growth Strategy in the Generative AI in Data Analytics Market
    87. Competitive
    88. Benchmarking
    89. Leading Players in Terms of Number of Developments
    90. in the Generative AI in Data Analytics Market
    91. Key developments
    92. and growth strategies
    93. New Product Launch/Service Deployment
    94. Merger
    95. & Acquisitions
    96. Joint Ventures
    97. Major
    98. Players Financial Matrix
    99. Sales and Operating Income
    100. Major
    101. Players R&D Expenditure. 2023
    102. Company
    103. Profiles
    104. Didi Chuxing
    105. Financial
    106. Overview
    107. Products Offered
    108. Key
    109. Developments
    110. SWOT Analysis
    111. Key
    112. Strategies
    113. JD.com
    114. Financial
    115. Overview
    116. Products Offered
    117. Key
    118. Developments
    119. SWOT Analysis
    120. Key
    121. Strategies
    122. Tencent
    123. Financial
    124. Overview
    125. Products Offered
    126. Key
    127. Developments
    128. SWOT Analysis
    129. Key
    130. Strategies
    131. Alibaba Group
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. ZTE
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. NEC China
    150. Financial
    151. Overview
    152. Products Offered
    153. Key
    154. Developments
    155. SWOT Analysis
    156. Key
    157. Strategies
    158. Huawei
    159. Financial
    160. Overview
    161. Products Offered
    162. Key
    163. Developments
    164. SWOT Analysis
    165. Key
    166. Strategies
    167. iFlytek
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. SenseTime
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. Ping An Technology
    186. Financial
    187. Overview
    188. Products Offered
    189. Key
    190. Developments
    191. SWOT Analysis
    192. Key
    193. Strategies
    194. Baidu
    195. Financial
    196. Overview
    197. Products Offered
    198. Key
    199. Developments
    200. SWOT Analysis
    201. Key
    202. Strategies
    203. Megvii
    204. Financial
    205. Overview
    206. Products Offered
    207. Key
    208. Developments
    209. SWOT Analysis
    210. Key
    211. Strategies
    212. Xiaomi
    213. Financial
    214. Overview
    215. Products Offered
    216. Key
    217. Developments
    218. SWOT Analysis
    219. Key
    220. Strategies
    221. Lucky Cat Holdings
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. Pinduoduo
    231. Financial
    232. Overview
    233. Products Offered
    234. Key
    235. Developments
    236. SWOT Analysis
    237. Key
    238. Strategies
    239. References
    240. Related
    241. Reports
    242. LIST
    243. OF ASSUMPTIONS
    244. China Generative AI in Data Analytics
    245. Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT, 2019-2035 (USD Billions)
    246. China
    247. Generative AI in Data Analytics Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY,
    248. 2035 (USD Billions)
    249. China Generative AI in Data
    250. Analytics Market SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    251. PRODUCT
    252. LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    253. ACQUISITION/PARTNERSHIP
    254. LIST
    255. Of figures
    256. MARKET SYNOPSIS
    257. CHINA
    258. GENERATIVE AI IN DATA ANALYTICS MARKET ANALYSIS BY DEPLOYMENT
    259. CHINA
    260. GENERATIVE AI IN DATA ANALYTICS MARKET ANALYSIS BY TECHNOLOGY
    261. CHINA
    262. GENERATIVE AI IN DATA ANALYTICS MARKET ANALYSIS BY APPLICATION
    263. KEY
    264. BUYING CRITERIA OF GENERATIVE AI IN DATA ANALYTICS MARKET
    265. RESEARCH
    266. PROCESS OF MRFR
    267. DRO ANALYSIS OF GENERATIVE AI IN DATA
    268. ANALYTICS MARKET
    269. DRIVERS IMPACT ANALYSIS: GENERATIVE
    270. AI IN DATA ANALYTICS MARKET
    271. RESTRAINTS IMPACT ANALYSIS:
    272. GENERATIVE AI IN DATA ANALYTICS MARKET
    273. SUPPLY / VALUE
    274. CHAIN: GENERATIVE AI IN DATA ANALYTICS MARKET
    275. GENERATIVE
    276. AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT, 2025 (% SHARE)
    277. GENERATIVE
    278. AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT, 2019 TO 2035 (USD Billions)
    279. GENERATIVE
    280. AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    281. GENERATIVE
    282. AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    283. GENERATIVE
    284. AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2025 (% SHARE)
    285. GENERATIVE
    286. AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    287. BENCHMARKING
    288. OF MAJOR COMPETITORS

    China Generative AI in Data Analytics Market Segmentation

    • Generative AI in Data Analytics Market By Deployment (USD Million, 2019-2035)

      • Cloud-Based
      • On-premise

    • Generative AI in Data Analytics Market By Technology (USD Million, 2019-2035)

      • Machine learning
      • Natural Language Processing
      • Deep learning
      • Computer vision
      • Robotic Process Automation

    • Generative AI in Data Analytics Market By Application (USD Million, 2019-2035)

      • Data Augmentation
      • Anomaly Detection
      • Text Generation
      • Simulation and Forecasting
    Report Infographic
    Free Sample Request

    Kindly complete the form below to receive a free sample of this Report

    Related Reports

    No regional reports available for this market.

    No country-specific reports available for this market.

    Customer Strories

    “I am very pleased with how market segments have been defined in a relevant way for my purposes (such as "Portable Freezers & refrigerators" and "last-mile"). In general the report is well structured. Thanks very much for your efforts.”

    Victoria Milne Founder
    Case Study

    Chemicals and Materials

    Global Magnesium Sulfate Market – Forecast till 2027