2024年中国数据管理解决方案市场报告

Industry Investment Rating - The report does not explicitly provide an overall investment rating for the data management solutions industry [1][3][5] Core Viewpoints - The report highlights the growing importance of data management solutions in China, driven by the integration of data elements and AI technologies [10][11] - Enterprises are shifting from passive to active data management, focusing on internal data governance and the integration of multi-modal data to enhance AI model performance [8] - The report emphasizes the need for real-time data processing capabilities and the importance of data governance in unlocking data value [10][16][24] Industry Development Drivers - The core drivers of the data management solutions market include the deepening of the digital economy and the rapid development of AI, which increase the demand for data collection, processing, and analysis [11][13] - Data governance and security are becoming increasingly important as data volumes grow and data circulation accelerates [11] - The integration of AI into data management processes is enhancing efficiency and reducing manual intervention, leading to more accurate and valuable data [10][11] Market Analysis - Enterprises are increasingly focusing on building data management ecosystems to support real-time data needs and improve decision-making [18][21] - The report identifies key challenges in data management, including the need for efficient data integration, storage, and analysis, as well as the importance of data security and compliance [18][20] - The market is seeing a shift towards data assetization and productization, with enterprises exploring ways to monetize their data assets [24][25] Competitive Landscape - The report uses a dynamic benchmarking model to evaluate the competitive performance of data management solution providers, focusing on customer value and technological leadership [15][27] - Chinese vendors are making progress in closing the gap with international players, particularly in areas like real-time data processing and AI integration [15][27] - Key competitive dimensions include data integration, storage, analysis, governance, and security, as well as the ability to deliver value through efficient service support and market education [27] Methodology - The report is based on extensive market research, including user experience surveys from industries such as finance, manufacturing, and internet [3][5] - The methodology includes a dynamic benchmarking model to assess vendor performance and identify industry leaders [15][27] - The research framework covers various aspects of the data management solutions market, including technology analysis, market trends, and competitive positioning [5][27]