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    China Data Analytics Market

    ID: MRFR/ICT/44278-HCR
    200 Pages
    Garvit Vyas
    September 2025

    China Data Analytics Market Research Report: By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics, Customer Analytics), By Solution (Data Management, FraudSecurity Intelligence, Data Mining, Data Monitoring), By Application (Enterprise Resource Planning, Supply Chain Management, Human Resource Management, Database Management) andBy Deployment (Cloud, On-Premises)- Forecast to 2035.

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    China Data Analytics Market Research Report – Global Forecast till 2035 Infographic
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    Table of Contents

    China Data Analytics Market Summary

    The China Data Analytics market is projected to experience substantial growth from 615.1 million USD in 2024 to 9704.2 million USD by 2035.

    Key Market Trends & Highlights

    China Data Analytics Key Trends and Highlights

    • The market valuation is expected to reach 9704.2 million USD by 2035, indicating a robust expansion.
    • From 2025 to 2035, the market is anticipated to grow at a compound annual growth rate of 28.5 percent.
    • In 2024, the market is valued at 615.1 million USD, reflecting a strong starting point for future growth.
    • Growing adoption of data-driven decision making due to increasing demand for business intelligence is a major market driver.

    Market Size & Forecast

    2024 Market Size 615.1 (USD Million)
    2035 Market Size 9704.2 (USD Million)
    CAGR (2025-2035) 28.5%

    Major Players

    Oracle, SAS Institute, Xiaomi, JD.com, SAP, Meituan, Tencent, Huawei Technologies, Baidu, Alibaba Group, IBM, ZTE Corporation, Sohu, Dajia Technologies, Netease

    China Data Analytics Market Trends

    China is experiencing a significant transformation in its data analytics market, largely driven by rapid digitalization across various sectors.The Chinese government's initiatives to promote technological innovation and Smart City projects are key market drivers, enhancing demand for advanced data analytics solutions. With the integration of artificial intelligence and machine learning, industries are leveraging analytics for improved decision-making and operational efficiency. Recent times have seen a growing trend towards real-time data processing, as companies aim to gain immediate insights to stay competitive.

    Additionally, there is an increasing emphasis on data-driven strategies in both enterprises and governmental agencies, which is propelling the demand for data analytics tools and services.The expanding e-commerce sector in China further acts as a catalyst as businesses seek to understand consumer behavior and optimize their marketing strategies. Furthermore, industries such as healthcare and manufacturing are recognizing the importance of data analytics for predictive maintenance and operational excellence, presenting ample opportunities to be explored.

    The rise of big data technologies and the availability of cloud-based analytics platforms are enabling smaller businesses to tap into data analytics, democratizing access to these tools. As data privacy regulations evolve, organizations are also investing in compliance-centric analytics frameworks, navigating the complexities of data usage responsibly.Overall, the momentum in China's data analytics market is poised for continued growth, fueled by innovation, market need, and evolving consumer expectations.

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

    China Data Analytics Market Drivers

    Market Segment Insights

    Data Analytics Market Type Insights

    The China Data Analytics Market exhibits dynamic growth and includes several crucial types that drive its evolution. Major categories such as Predictive Analytics, Prescriptive Analytics, Descriptive Analytics, and Customer Analytics play significant roles in shaping the landscape of data-driven decision-making in the region.

    Predictive Analytics leverages historical and current data to forecast future trends, aiding businesses in strategizing effectively; its importance has grown tremendously in sectors like finance and healthcare where anticipating outcomes can result in substantial competitive advantages.On the other hand, Prescriptive Analytics goes a step further by not only predicting trends but also recommending actions to optimize outcomes, thereby enhancing operational efficiencies and decision-making processes. Descriptive Analytics serves as a foundation by summarizing historical data and providing insights that assist organizations in understanding performance metrics and consumer behavior, thereby facilitating informed strategic planning.

    Meanwhile, Customer Analytics focuses specifically on behaviors, preferences, and trends within customer segments, enabling businesses to tailor their offerings and marketing strategies to enhance consumer engagement and satisfaction.The surging demand for real-time insights and data-driven strategies in diverse sectors such as retail, finance, and healthcare in China is propelling the growth of these analytic types. Companies are increasingly investing in these analytics types to remain competitive in a rapidly evolving market landscape dominated by digital transformation and data proliferation.

    With the Chinese government's support for technological advancements and innovation, the relevance of each of these types continues to grow as they collectively drive market growth and open up new opportunities for businesses seeking to capitalize on rich data insights.The trends and challenges associated with each type highlight the critical need for companies to adopt sophisticated analytic tools and technologies, marking a pivotal shift towards a more data-centric approach in China's economic fabric.

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

    Data Analytics Market Solution Insights

    The China Data Analytics Market is expanding rapidly, particularly within the Solution segment, which encompasses various critical areas such as Data Management, Fraud Security Intelligence, Data Mining, and Data Monitoring. With the increasing volume of data generated across different sectors in China, effective Data Management has become paramount, ensuring that organizations can handle, store, and retrieve data efficiently. Meanwhile, Fraud Security Intelligence is gaining traction as businesses seek robust solutions to counteract growing cyber threats, underscoring the importance of safeguarding sensitive information.Data Mining enables companies to extract valuable insights, allowing for improved decision-making and strategic planning.

    Data Monitoring is also significant in real-time analytics, helping enterprises maintain operational efficiency and compliance with regulations. As China continues to invest in digital transformation, the demand for advanced analytics solutions is expected to rise, driven by trends such as big data adoption, cloud computing, and artificial intelligence integration. The China Data Analytics Market segmentation highlights the need for tailored solutions that address specific industry challenges, ultimately contributing to enhanced data-driven decision-making capabilities across the region.

    Data Analytics Market Application Insights

    The China Data Analytics Market, particularly in the Application segment, showcases significant potential and growth opportunities, with various applications playing pivotal roles across industries. Enterprises leverage data analytics primarily for Enterprise Resource Planning, enabling them to optimize internal processes and improve decision-making efficiency. Supply Chain Management benefits significantly from data insights, allowing companies to enhance logistics and reduce operational costs, which is essential in a rapidly evolving market.

    Additionally, Human Resource Management sees a transformation as data analytics aids in talent acquisition, performance monitoring, and employee retention strategies, thereby enhancing workforce productivity.Database Management is also a critical area, as organizations seek to manage vast amounts of data effectively, ensuring data integrity and accessibility. The overall growth in the China Data Analytics Market can be attributed to the increasing digital transformation across sectors, government initiatives promoting innovation, and the rising need for data-driven decision-making.

    With these advancements, businesses in China are positioned to capitalize on the benefits offered by analytics, driving the market towards substantial progress in the coming years.

    Data Analytics Market Deployment Insights

    The Deployment segment of the China Data Analytics Market holds a significant position within the overall industry landscape, reflecting the growing demand for data-driven decision-making across various sectors. The major components of this segment include Cloud and On-Premises deployments, each catering to distinct organizational needs. Cloud deployment has gained traction due to its scalability, cost-effectiveness, and flexibility, allowing businesses to harness extensive computing resources without heavy upfront investments.

    Conversely, On-Premises deployment continues to be preferred by companies needing stringent data security measures and compliance with local regulations, particularly in sensitive industries such as finance and healthcare.The increasing digital transformation in China, supported by government initiatives aimed at enhancing technological infrastructure, fuels the expansion of both deployment models. Trends indicate a growing inclination toward hybrid approaches, blending the advantages of both Cloud and On-Premises solutions. This provides organizations in China with the flexibility to optimize their data strategies, ensuring robust analytics capabilities while addressing their unique operational requirements.

    As the China Data Analytics Market experiences robust growth, the deployment methods are set to evolve, driven by innovations in technology and changing business dynamics.

    Get more detailed insights about China Data Analytics Market Research Report – Global Forecast till 2035

    Regional Insights

    Key Players and Competitive Insights

    The China Data Analytics Market is witnessing robust growth due to the increasing demand for data-driven decision-making across various sectors such as finance, healthcare, retail, and manufacturing. As organizations seek to harness large volumes of data to improve efficiency and competitiveness, multiple players are enhancing their data analytics capabilities. The competitive landscape is marked by the rise of both local enterprises and established global players, each vying to take advantage of China's evolving digital ecosystem.

    Innovations in artificial intelligence, machine learning, and big data analytics are creating opportunities for companies to develop advanced solutions tailored to the unique needs of Chinese enterprises. This dynamic environment fosters an atmosphere of rapid technological advancement and strategic partnerships, which are vital for capturing market share in a country that prioritizes digital transformation.Oracle has established a formidable presence in the China Data Analytics Market through its comprehensive suite of applications and cloud services that cater to various industries.

    The company's strengths lie in its integrated solutions that allow businesses to streamline their data operations effectively and leverage predictive analytics to foster informed decision-making. Oracle's significant investment in local data centers ensures compliance with Chinese regulations and enhances customer trust, while its ongoing innovation philosophies promote a continuous improvement process in its offerings. The company’s partnerships with local enterprises further strengthen its market position, allowing for tailored solutions that address the specific needs of Chinese businesses.

    Oracle's commitment to empowering organizations with real-time data insights has made it a competitive player in the evolving data analytics landscape of China.SAS Institute is also a key player in the China Data Analytics Market, well-known for its specialization in advanced analytics, business intelligence, and data management solutions. The company offers a range of key products and services including predictive analytics software, data visualization tools, and data governance solutions, which are designed to support Chinese enterprises in their data journey.

    With a strong focus on innovation, SAS maintains its competitive edge through consistent development of new technologies that respond to market demands. The company's presence in China is bolstered by its collaborations with local universities and research institutions, showcasing its commitment to fostering data science education and talent development. As part of its growth strategy, SAS Institute has pursued mergers and acquisitions aimed at enhancing its technology offerings and expanding its customer base in the region.

    Through these efforts, SAS reinforces its position as a premier provider of data analytics solutions tailored to the specific challenges faced by businesses in China.

    Key Companies in the China Data Analytics Market market include

    Industry Developments

    The China Data Analytics Market has witnessed significant developments recently, with major companies like Alibaba Group, Tencent, and JD.com playing prominent roles in advancing analytics capabilities. In August 2023, Alibaba launched a new suite of AI-driven analytics tools aimed at enhancing business intelligence for small and medium enterprises, reflecting a growing trend towards democratizing data access.

    Huawei Technologies continues to invest heavily in AI and big data solutions tailored for various sectors, affirming its commitment to fostering innovation within the region.Regarding mergers and acquisitions, SAS Institute acquired a smaller data analytics firm in July 2023 to expand its technological footprint in the Chinese market, highlighting the competitive landscape.

    In September 2023, Tencent made headlines by partnering with several local government sectors to provide advanced analytics frameworks, enhancing public sector efficiency through data harnessing.Notably, the data analytics market in China is poised for continued growth, fueled by government support for digital transformation initiatives and an increasing focus on smart cities, which demand sophisticated data analytics solutions. Companies like Oracle and IBM are also positioning themselves strategically to leverage the opportunities arising from the burgeoning demand for data insights across various industries.

    Market Segmentation

    Outlook

    • Cloud
    • On-Premises

    Report Scope

    Report Scope: 
    Report Attribute/Metric Source: Details
    MARKET SIZE 2018 615.12(USD Million)
    MARKET SIZE 2024 783.12(USD Million)
    MARKET SIZE 2035 9704.2(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 25.712% (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 Oracle, SAS Institute, Xiaomi, JD.com, SAP, Meituan, Tencent, Huawei Technologies, Baidu, Alibaba Group, IBM, ZTE Corporation, Sohu, Dajia Technologies, Netease
    SEGMENTS COVERED Type, Solution, Application, Deployment
    KEY MARKET OPPORTUNITIES Advanced AI integration, Cloud data solutions, Real-time analytics demand, Industry-specific analytics tools, Enhanced data privacy technologies
    KEY MARKET DYNAMICS rapid technological advancements, increasing data volume, rising demand for predictive analytics, strong government support, growing adoption across industries
    COUNTRIES COVERED China

    Market Highlights

    Author
    Garvit Vyas
    Analyst

    Explore the profile of Garvit Vyas, one of our esteemed authors at Market Research Future, and access their expert research contributions in the field of market research and industry analysis

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    FAQs

    What is the projected market size of the China Data Analytics Market in 2024?

    The projected market size of the China Data Analytics Market in 2024 is valued at 783.12 million USD.

    What is the expected market valuation for the China Data Analytics Market by 2035?

    The expected market valuation for the China Data Analytics Market by 2035 is approximately 9704.2 million USD.

    What is the anticipated compound annual growth rate (CAGR) for the China Data Analytics Market from 2025 to 2035?

    The anticipated compound annual growth rate (CAGR) for the China Data Analytics Market from 2025 to 2035 is 25.712%.

    Which type of data analytics is expected to have the highest market value in 2035?

    Predictive Analytics is expected to have the highest market value in 2035, reaching around 3600.0 million USD.

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

    Key players in the China Data Analytics Market include Oracle, SAS Institute, Xiaomi, JD.com, SAP, and Tencent.

    What is the market size for prescriptive analytics in 2024?

    The market size for Prescriptive Analytics in 2024 is valued at 150.0 million USD.

    How much is the customer analytics segment projected to grow by 2035?

    The Customer Analytics segment is projected to grow to approximately 1404.2 million USD by 2035.

    What challenges are expected to affect the growth of the China Data Analytics Market?

    Challenges affecting the growth of the China Data Analytics Market could include data privacy regulations and evolving technological standards.

    What is the market value of descriptive analytics in 2024?

    The market value of Descriptive Analytics in 2024 is estimated to be 250.0 million USD.

    What growth opportunities exist in the China Data Analytics Market?

    Growth opportunities in the China Data Analytics Market may arise from increasing demand for data-driven decision-making across various industries.

    1. Key Findings \n1.3. Market Segmentation \n1.4. Competitive Landscape \n1.5. Challenges
    2. and Opportunities \n1.6. Future Outlook \n\n\n\n2. MARKET INTRODUCTION \n2.1. Definition
    3. \n2.2. Scope of the study \n2.2.1. Research Objective \n2.2.2. Assumption \n2.2.3.
    4. Limitations \n3. RESEARCH METHODOLOGY \n3.1. Overview \n3.2. Data Mining \n3.3.
    5. Secondary Research \n3.4. Primary Research \n3.4.1. Primary Interviews and Information
    6. Gathering Process \n3.4.2. Breakdown of Primary Respondents \n3.5. Forecasting Model
    7. \n3.6. Market Size Estimation \n3.6.1. Bottom-Up Approach \n3.6.2. Top-Down Approach
    8. \n3.7. Data Triangulation \n3.8. Validation \n\n\n\n4. MARKET DYNAMICS \n4.1. Overview
    9. \n4.2. Drivers \n4.3. Restraints \n4.4. Opportunities \n5. MARKET FACTOR ANALYSIS
    10. \n5.1. Value chain Analysis \n5.2. Porter's Five Forces Analysis \n5.2.1. Bargaining
    11. Power of Suppliers \n5.2.2. Bargaining Power of Buyers \n5.2.3. Threat of New Entrants
    12. \n5.2.4. Threat of Substitutes \n5.2.5. Intensity of Rivalry \n5.3. COVID-19 Impact
    13. Analysis \n5.3.1. Market Impact Analysis \n5.3.2. Regional Impact \n5.3.3. Opportunity
    14. and Threat Analysis \n\n\n\n6. China Data Analytics Market, BY Type (USD Million)
    15. \n6.1. Predictive Analytics \n6.2. Prescriptive Analytics \n6.3. Descriptive Analytics
    16. \n6.4. Customer Analytics \n7. China Data Analytics Market, BY Solution (USD Million)
    17. \n7.1. Data Management \n7.2. Fraud Security Intelligence \n7.3. Data Mining \n7.4.
    18. Data Monitoring \n8. China Data Analytics Market, BY Application (USD Million) \n8.1.
    19. Enterprise Resource Planning \n8.2. Supply Chain Management \n8.3. Human Resource
    20. Management \n8.4. Database Management \n9. China Data Analytics Market, BY Deployment
    21. (USD Million) \n9.1. Cloud \n9.2. On-Premises \n\n\n\n10. Competitive Landscape
    22. \n10.1. Overview \n10.2. Competitive Analysis \n10.3. Market share Analysis \n10.4.
    23. Major Growth Strategy in the Data Analytics Market \n10.5. Competitive Benchmarking
    24. \n10.6. Leading Players in Terms of Number of Developments in the Data Analytics
    25. Market \n10.7. Key developments and growth strategies \n10.7.1. New Product Launch/Service
    26. Deployment \n10.7.2. Merger Acquisitions \n10.7.3. Joint Ventures \n10.8. Major
    27. Players Financial Matrix \n10.8.1. Sales and Operating Income \n10.8.2. Major Players
    28. RD Expenditure. 2023 \n11. Company Profiles \n11.1. Oracle \n11.1.1. Financial Overview
    29. \n11.1.2. Products Offered \n11.1.3. Key Developments \n11.1.4. SWOT Analysis \n11.1.5.
    30. Key Strategies \n11.2. SAS Institute \n11.2.1. Financial Overview \n11.2.2. Products
    31. Offered \n11.2.3. Key Developments \n11.2.4. SWOT Analysis \n11.2.5. Key Strategies
    32. \n11.3. Xiaomi \n11.3.1. Financial Overview \n11.3.2. Products Offered \n11.3.3.
    33. Key Developments \n11.3.4. SWOT Analysis \n11.3.5. Key Strategies \n11.4. JD.com
    34. \n11.4.1. Financial Overview \n11.4.2. Products Offered \n11.4.3. Key Developments
    35. \n11.4.4. SWOT Analysis \n11.4.5. Key Strategies \n11.5. SAP \n11.5.1. Financial
    36. Overview \n11.5.2. Products Offered \n11.5.3. Key Developments \n11.5.4. SWOT Analysis
    37. \n11.5.5. Key Strategies \n11.6. Meituan \n11.6.1. Financial Overview \n11.6.2.
    38. Products Offered \n11.6.3. Key Developments \n11.6.4. SWOT Analysis \n11.6.5. Key
    39. Strategies \n11.7. Tencent \n11.7.1. Financial Overview \n11.7.2. Products Offered
    40. \n11.7.3. Key Developments \n11.7.4. SWOT Analysis \n11.7.5. Key Strategies \n11.8.
    41. Huawei Technologies \n11.8.1. Financial Overview \n11.8.2. Products Offered \n11.8.3.
    42. Key Developments \n11.8.4. SWOT Analysis \n11.8.5. Key Strategies \n11.9. Baidu
    43. \n11.9.1. Financial Overview \n11.9.2. Products Offered \n11.9.3. Key Developments
    44. \n11.9.4. SWOT Analysis \n11.9.5. Key Strategies \n11.10. Alibaba Group \n11.10.1.
    45. Financial Overview \n11.10.2. Products Offered \n11.10.3. Key Developments \n11.10.4.
    46. SWOT Analysis \n11.10.5. Key Strategies \n11.11. IBM \n11.11.1. Financial Overview
    47. \n11.11.2. Products Offered \n11.11.3. Key Developments \n11.11.4. SWOT Analysis
    48. \n11.11.5. Key Strategies \n11.12. ZTE Corporation \n11.12.1. Financial Overview
    49. \n11.12.2. Products Offered \n11.12.3. Key Developments \n11.12.4. SWOT Analysis
    50. \n11.12.5. Key Strategies \n11.13. Sohu \n11.13.1. Financial Overview \n11.13.2.
    51. Products Offered \n11.13.3. Key Developments \n11.13.4. SWOT Analysis \n11.13.5.
    52. Key Strategies \n11.14. Dajia Technologies \n11.14.1. Financial Overview \n11.14.2.
    53. Products Offered \n11.14.3. Key Developments \n11.14.4. SWOT Analysis \n11.14.5.
    54. Key Strategies \n11.15. Netease \n11.15.1. Financial Overview \n11.15.2. Products
    55. Offered \n11.15.3. Key Developments \n11.15.4. SWOT Analysis \n11.15.5. Key Strategies
    56. \n12. Appendix \n12.1. References \n12.2. Related Reports \nLIST Of tables\n\nTable
    57. LIST OF ASSUMPTIONS \nTable 2. China Data Analytics Market SIZE ESTIMATES &
    58. FORECAST, BY TYPE, 2019-2035 (USD Billions) \nTable 3. China Data Analytics Market
    59. SIZE ESTIMATES & FORECAST, BY SOLUTION, 2019-2035 (USD Billions) \nTable 4.
    60. China Data Analytics Market SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035
    61. (USD Billions) \nTable 5. China Data Analytics Market SIZE ESTIMATES & FORECAST,
    62. BY DEPLOYMENT, 2019-2035 (USD Billions) \nTable 6. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    63. \nTable 7. ACQUISITION/PARTNERSHIP \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLIST
    64. Of figures\n\nFigure 1. MARKET SYNOPSIS \nFigure 2. CHINA DATA ANALYTICS MARKET
    65. ANALYSIS BY TYPE \nFigure 3. CHINA DATA ANALYTICS MARKET ANALYSIS BY SOLUTION \nFigure
    66. CHINA DATA ANALYTICS MARKET ANALYSIS BY APPLICATION \nFigure 5. CHINA DATA ANALYTICS
    67. MARKET ANALYSIS BY DEPLOYMENT \nFigure 6. KEY BUYING CRITERIA OF DATA ANALYTICS
    68. MARKET \nFigure 7. RESEARCH PROCESS OF MRFR \nFigure 8. DRO ANALYSIS OF DATA ANALYTICS
    69. MARKET \nFigure 9. DRIVERS IMPACT ANALYSIS: DATA ANALYTICS MARKET \nFigure 10. RESTRAINTS
    70. IMPACT ANALYSIS: DATA ANALYTICS MARKET \nFigure 11. SUPPLY / VALUE CHAIN: DATA ANALYTICS
    71. MARKET \nFigure 12. DATA ANALYTICS MARKET, BY TYPE, 2024 (% SHARE) \nFigure 13.
    72. DATA ANALYTICS MARKET, BY TYPE, 2019 TO 2035 (USD Billions) \nFigure 14. DATA ANALYTICS
    73. MARKET, BY SOLUTION, 2024 (% SHARE) \nFigure 15. DATA ANALYTICS MARKET, BY SOLUTION,
    74. TO 2035 (USD Billions) \nFigure 16. DATA ANALYTICS MARKET, BY APPLICATION,
    75. (% SHARE) \nFigure 17. DATA ANALYTICS MARKET, BY APPLICATION, 2019 TO 2035
    76. (USD Billions) \nFigure 18. DATA ANALYTICS MARKET, BY DEPLOYMENT, 2024 (% SHARE)
    77. \nFigure 19. DATA ANALYTICS MARKET, BY DEPLOYMENT, 2019 TO 2035 (USD Billions) \nFigure
    78. BENCHMARKING OF MAJOR COMPETITORS

    China Data Analytics Market Segmentation

     

     

     

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

      • Predictive Analytics
      • Prescriptive Analytics
      • Descriptive Analytics
      • Customer Analytics

     

    • Data Analytics Market By Solution (USD Million, 2019-2035)

      • Data Management
      • Fraud Security Intelligence
      • Data Mining
      • Data Monitoring

     

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

      • Enterprise Resource Planning
      • Supply Chain Management
      • Human Resource Management
      • Database Management

     

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

      • Cloud
      • On-Premises

     

     

     

     

     

     

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