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    China Retail Analytics Market

    ID: MRFR/ICT/56396-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    China Retail Analytics Market Research Report By Component Type (services, solutions) and By Organization Size (large enterprises, small and medium enterprises)-Forecast to 2035

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    Table of Contents

    China Retail Analytics Market Summary

    The China Retail Analytics market is poised for substantial growth, projected to reach 1314.8 USD Million by 2035.

    Key Market Trends & Highlights

    China Retail Analytics Key Trends and Highlights

    • The market valuation is expected to grow from 300.1 USD Million in 2024 to 1314.8 USD Million by 2035.
    • A compound annual growth rate (CAGR) of 14.37 percent is anticipated from 2025 to 2035.
    • The increasing demand for data-driven decision making in retail is likely to propel market expansion.
    • Growing adoption of advanced analytics technologies due to the need for enhanced customer insights is a major market driver.

    Market Size & Forecast

    2024 Market Size 300.1 (USD Million)
    2035 Market Size 1314.8 (USD Million)
    CAGR (2025-2035) 14.37%
    Largest Regional Market Share in 2024 latin_america)

    Major Players

    Meituan, JD.com, Dianping, Zalora, Kuaishou, Gome, ByteDance, Pinduoduo, Shopify, Tencent, Xiaomi, Suning, UnionPay, Alibaba, Baidu

    China Retail Analytics Market Trends

    The quick development of digital technology and the growing emphasis on analyzing consumer behavior are driving notable developments in the China retail analytics market. The broad use of big data analytics, which gives retailers insights into consumer preferences, buying trends, and inventory management, is one of the major industry drivers.

    The emergence of e-commerce platforms in China is contributing to this change and emphasizing the necessity for companies to gain a deeper understanding of online consumer behavior. Retailers are using analytics technologies to improve customer happiness and optimize their strategy as more customers shop online.

    The rising need for individualized shopping experiences is one of the recent opportunities in China. In order to increase consumer loyalty, retailers are using advanced analytics to customize marketing campaigns and product recommendations.

    Additionally, there is a movement to include machine learning and artificial intelligence into retail analytics, which enables better decision-making and more predictive insights. A favorable environment for the expansion of retail analytics is being created by the Chinese government's encouragement of technical innovation and the drive for digital transformation across industries.

    Furthermore, the growth of social commerce is increasingly being prioritized. Retailers are using analytics to evaluate customer interactions and engagement data on platforms like WeChat and Douyin as their popularity grows.

    Businesses can adjust their strategy in real time with the help of these tactics, which increases their responsiveness to market developments. All things considered, the future of China's retail analytics sector is being shaped by the convergence of technology, consumer expectations, and government support, creating a dynamic environment for merchants hoping to efficiently use data.

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

    China Retail Analytics Market Drivers

    Market Segment Insights

    Retail Analytics Market Component Type Insights

    Retail Analytics Market Component Type Insights

    The China Retail Analytics Market is experiencing significant growth, driven by various components that contribute to its overall development. Within this market, the Component Type segment encompasses both services and solutions, which play a pivotal role in enhancing retail operations and decision-making processes.

    The demand for services is on the rise, as businesses seek to leverage expertise in data analysis and implementation of advanced analytics solutions to optimize inventory, enhance customer experience, and drive sales.

    On the other hand, solutions are crucial as retailers adopt cutting-edge technology to harness big data analytics, artificial intelligence, and machine learning. These solutions help businesses derive insights into consumer behavior, streamline supply chains, and improve marketing strategies.

    In China, the retail landscape is continuously evolving, influenced by urbanization, technological advancement, and shifting consumer preferences. The integration of services within the retail analytics framework allows companies to focus on their core activities while relying on specialists for data-driven strategy formulation.

    Retail Analytics Market Organization Size Insights

    Retail Analytics Market Organization Size Insights

    The Organization Size segment of the China Retail Analytics Market showcases diverse dynamics, distinguishing between large enterprises and small and medium enterprises. Large enterprises significantly dominate this sector as they often have more extensive resources, allowing for advanced analytics capabilities and more substantial investment in technology.

    This segment benefits from vast customer datasets, which facilitate improved decision-making, customer insights, and operational efficiencies. Conversely, small and medium enterprises (SMEs) are increasingly recognizing the value of retail analytics, with many adopting cost-effective solutions to enhance their competitiveness in the market.

    The growth of e-commerce and digitization in China has presented SMEs with opportunities to leverage analytics for improved customer experiences and targeted marketing. As a result, the integration of retail analytics within these organizations is expected to foster their growth and contribution to the overall economy.

    The China Retail Analytics Market presents a unique landscape where understanding the nuances between these organizational sizes is crucial for stakeholders aiming to leverage analytics effectively. This segmentation is vital in tailoring solutions that meet the specific needs and capabilities of each group within the expansive retail landscape of China.

    Get more detailed insights about China Retail Analytics Market Research Report-Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The China Retail Analytics Market has witnessed significant growth due to the rapid digitization of retail, which has transformed traditional shopping experiences into data-driven operations. The increasing adoption of technologies, such as big data analytics, artificial intelligence, and machine learning, has allowed retailers to gain deeper insights into consumer behavior and market trends.

    This evolution promotes enhancements in inventory management, customer experience, and personalized marketing strategies, thereby providing retailers with a competitive edge. Traditional retail players and new entrants are eager to leverage these analytics to optimize operations, improve decision-making, and ultimately drive sales, making the market increasingly competitive.

    Meituan has established itself as a formidable player in the China Retail Analytics Market, primarily by leveraging its expansive platform which connects consumers with a variety of services, including food delivery, travel, and hotel bookings.

    This centralized ecosystem allows Meituan to gather vast amounts of consumer data, enabling the company to utilize sophisticated analytics for personalized marketing, enhancing customer engagement, and optimizing service delivery.

    The company’s strength lies in its strong brand recognition and ability to incorporate data insights into actionable strategies that cater to the evolving preferences of Chinese consumers. Furthermore, the integration of various service offerings within its ecosystem allows Meituan to analyze a diverse range of data points, thereby enhancing the quality of its analytics and its overall market presence.

    JD.com holds a prominent position in the China Retail Analytics Market by offering a unique combination of e-commerce and advanced logistics solutions. The company's penetration into the market is bolstered by its commitment to shorten delivery times and ensure inventory efficiency, which relies heavily on robust analytics capabilities.

    JD.com employs sophisticated algorithms that analyze consumer purchasing behaviors, allowing it to optimize pricing strategies and improve customer targeting. The company also focuses on strengthening its supply chain management through continuous investments in technology, enabling rapid adaptability to market trends.

    Additionally, JD.com has engaged in significant mergers and acquisitions that bolster its technological and operational capabilities within the retail analytics realm. Its ability to deliver high-quality products efficiently and its adoption of cutting-edge analytics make it a significant competitor in China's retail landscape.

    Key Companies in the China Retail Analytics Market market include

    Industry Developments

    In recent months, the China Retail Analytics Market has witnessed significant developments. Companies such as JD.com and Alibaba are enhancing their data-driven strategies to cope with evolving consumer behavior, particularly in the wake of digitization trends spurred by the COVID-19 pandemic.

    The market has been marked by innovations in artificial intelligence and machine learning applications by Tencent and ByteDance, aimed at optimizing customer engagement and personalized marketing. In terms of mergers and acquisitions, Suning announced its acquisition of a tech startup focused on retail analytics in December 2022, enhancing its capabilities in this sector.

    Additionally, Pinduoduo's expansion efforts have bolstered its position in this competitive landscape, focusing on data analytics for better supply chain efficiency. Gome has also integrated advanced analytics tools aimed at improving consumer insights.

    The combined market valuation for key players like Meituan, Kuaishou, and UnionPay continues to grow, reflecting a surge in demand for real-time analytics and consumer insights. Overall, these developments indicate a robust trajectory in the retail analytics sector with increasing investments in technology and data analytics capabilities across leading Chinese retailers.

    Market Segmentation

    Outlook

    • large enterprises
    • small and medium enterprises

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 261.52(USD Million)
    MARKET SIZE 2024 300.12(USD Million)
    MARKET SIZE 2035 1314.75(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 14.373% (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 Meituan, JD.com, Dianping, Zalora, Kuaishou, Gome, ByteDance, Pinduoduo, Shopify, Tencent, Xiaomi, Suning, UnionPay, Alibaba, Baidu
    SEGMENTS COVERED Component Type, Organization Size
    KEY MARKET OPPORTUNITIES AI-powered data analytics solutions, Real-time customer behavior tracking, Omnichannel retail strategy optimization, Enhanced supply chain analytics, Personalized marketing automation tools
    KEY MARKET DYNAMICS data-driven decision making, increasing e-commerce adoption, growing demand for personalized experiences, investment in AI technologies, real-time analytics capabilities
    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 Retail Analytics Market in 2024?

    The China Retail Analytics Market is expected to be valued at approximately 300.12 million USD in 2024.

    What is the projected market size for the China Retail Analytics Market by 2035?

    By the year 2035, the China Retail Analytics Market is expected to reach a valuation of about 1314.75 million USD.

    What is the expected CAGR for the China Retail Analytics Market between 2025 and 2035?

    The market is forecasted to grow at a CAGR of 14.373% from 2025 to 2035.

    What are the expected values of services and solutions in the China Retail Analytics Market by 2035?

    By 2035, services are expected to be valued at 570.34 million USD, while solutions will be valued at 744.41 million USD.

    Which companies are considered major players in the China Retail Analytics Market?

    Major players in the China Retail Analytics Market include Meituan, JD.com, Alibaba, ByteDance, and Pinduoduo.

    What is the market value for services in the China Retail Analytics Market in 2024?

    The market value for services in 2024 is expected to be around 120.04 million USD.

    What is the market value for solutions in the China Retail Analytics Market in 2024?

    The solutions segment is projected to be valued at approximately 180.08 million USD in 2024.

    What overall trend is expected in the China Retail Analytics Market from 2025 to 2035?

    The market is expected to demonstrate significant growth driven by increased adoption of data analytics in retail.

    What are the main growth drivers for the China Retail Analytics Market?

    Key growth drivers include rising competition among retailers and the increasing need for data-driven decision-making.

    How does the competitive landscape look for the China Retail Analytics Market?

    The competitive landscape includes strong participation from both established players and emerging technology firms.

    1. EXECUTIVE SUMMARY
    2. Market Overview
    3. Key Findings
    4. Market Segmentation
    5. Competitive Landscape
    6. Challenges and Opportunities
    7. Future Outlook
    8. MARKET INTRODUCTION
    9. Definition
    10. Scope of the study
    11. Research Objective
    12. Assumption
    13. Limitations
    14. RESEARCH METHODOLOGY
    15. Overview
    16. Data Mining
    17. Secondary Research
    18. Primary Research
    19. Primary Interviews and Information Gathering Process
    20. Breakdown of Primary Respondents
    21. Forecasting Model
    22. Market Size Estimation
    23. Bottom-Up Approach
    24. Top-Down Approach
    25. Data Triangulation
    26. Validation
    27. MARKET DYNAMICS
    28. Overview
    29. Drivers
    30. Restraints
    31. Opportunities
    32. MARKET FACTOR ANALYSIS
    33. Value chain Analysis
    34. Porter's Five Forces Analysis
    35. Bargaining Power of Suppliers
    36. Bargaining Power of Buyers
    37. Threat of New Entrants
    38. Threat of Substitutes
    39. Intensity of Rivalry
    40. COVID-19 Impact Analysis
    41. Market Impact Analysis
    42. Regional Impact
    43. Opportunity and Threat Analysis
    44. China Retail Analytics Market, BY Component Type (USD Million)
    45. services
    46. solutions
    47. China Retail Analytics Market, BY Organization Size (USD Million)
    48. large enterprises
    49. small and medium enterprises
    50. Competitive Landscape
    51. Overview
    52. Competitive Analysis
    53. Market share Analysis
    54. Major Growth Strategy in the Retail Analytics Market
    55. Competitive Benchmarking
    56. Leading Players in Terms of Number of Developments in the Retail Analytics Market
    57. Key developments and growth strategies
    58. New Product Launch/Service Deployment
    59. Merger & Acquisitions
    60. Joint Ventures
    61. Major Players Financial Matrix
    62. Sales and Operating Income
    63. Major Players R&D Expenditure. 2023
    64. Company Profiles
    65. Meituan
    66. Financial Overview
    67. Products Offered
    68. Key Developments
    69. SWOT Analysis
    70. Key Strategies
    71. JD.com
    72. Financial Overview
    73. Products Offered
    74. Key Developments
    75. SWOT Analysis
    76. Key Strategies
    77. Dianping
    78. Financial Overview
    79. Products Offered
    80. Key Developments
    81. SWOT Analysis
    82. Key Strategies
    83. Zalora
    84. Financial Overview
    85. Products Offered
    86. Key Developments
    87. SWOT Analysis
    88. Key Strategies
    89. Kuaishou
    90. Financial Overview
    91. Products Offered
    92. Key Developments
    93. SWOT Analysis
    94. Key Strategies
    95. Gome
    96. Financial Overview
    97. Products Offered
    98. Key Developments
    99. SWOT Analysis
    100. Key Strategies
    101. ByteDance
    102. Financial Overview
    103. Products Offered
    104. Key Developments
    105. SWOT Analysis
    106. Key Strategies
    107. Pinduoduo
    108. Financial Overview
    109. Products Offered
    110. Key Developments
    111. SWOT Analysis
    112. Key Strategies
    113. Shopify
    114. Financial Overview
    115. Products Offered
    116. Key Developments
    117. SWOT Analysis
    118. Key Strategies
    119. Tencent
    120. Financial Overview
    121. Products Offered
    122. Key Developments
    123. SWOT Analysis
    124. Key Strategies
    125. Xiaomi
    126. Financial Overview
    127. Products Offered
    128. Key Developments
    129. SWOT Analysis
    130. Key Strategies
    131. Suning
    132. Financial Overview
    133. Products Offered
    134. Key Developments
    135. SWOT Analysis
    136. Key Strategies
    137. UnionPay
    138. Financial Overview
    139. Products Offered
    140. Key Developments
    141. SWOT Analysis
    142. Key Strategies
    143. Alibaba
    144. Financial Overview
    145. Products Offered
    146. Key Developments
    147. SWOT Analysis
    148. Key Strategies
    149. Baidu
    150. Financial Overview
    151. Products Offered
    152. Key Developments
    153. SWOT Analysis
    154. Key Strategies
    155. References
    156. Related Reports
    157. LIST OF ASSUMPTIONS
    158. China Retail Analytics Market SIZE ESTIMATES & FORECAST, BY COMPONENT TYPE, 2019-2035 (USD Billions)
    159. China Retail Analytics Market SIZE ESTIMATES & FORECAST, BY ORGANIZATION SIZE, 2019-2035 (USD Billions)
    160. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    161. ACQUISITION/PARTNERSHIP
    162.                                                           LIST Of figures  
    163. MARKET SYNOPSIS
    164. CHINA RETAIL ANALYTICS MARKET ANALYSIS BY COMPONENT TYPE
    165. CHINA RETAIL ANALYTICS MARKET ANALYSIS BY ORGANIZATION SIZE
    166. KEY BUYING CRITERIA OF RETAIL ANALYTICS MARKET
    167. RESEARCH PROCESS OF MRFR
    168. DRO ANALYSIS OF RETAIL ANALYTICS MARKET
    169. DRIVERS IMPACT ANALYSIS: RETAIL ANALYTICS MARKET
    170. RESTRAINTS IMPACT ANALYSIS: RETAIL ANALYTICS MARKET
    171. SUPPLY / VALUE CHAIN: RETAIL ANALYTICS MARKET
    172. RETAIL ANALYTICS MARKET, BY COMPONENT TYPE, 2025 (% SHARE)
    173. RETAIL ANALYTICS MARKET, BY COMPONENT TYPE, 2019 TO 2035 (USD Billions)
    174. RETAIL ANALYTICS MARKET, BY ORGANIZATION SIZE, 2025 (% SHARE)
    175. RETAIL ANALYTICS MARKET, BY ORGANIZATION SIZE, 2019 TO 2035 (USD Billions)
    176. BENCHMARKING OF MAJOR COMPETITORS

    China Retail Analytics Market Segmentation

    • Retail Analytics Market By Component Type (USD Million, 2019-2035)

      • services
      • solutions

     

    • Retail Analytics Market By Organization Size (USD Million, 2019-2035)

      • large enterprises
      • small and medium enterprises

     

     

     

     

     

     

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