Based on research and analysis of the data management solutions market in 2020, Frost & Sullivan (hereinafter referred to as 'Frost & Sullivan') in collaboration with LeadLeo Research Institute has released the latest '2020 China Data Management Solutions Market Report'. Frost & Sullivan defines data management solutions (DMS, Database Management Solutions) as one-stop data management systems provided by service providers to companies and organizations. Data management solutions utilize computer hardware and software technology to effectively collect, store, compute, analyze, and apply massive amounts of data, aiming to extract valuable information from raw data, support enterprise decision-making in real-time at key value nodes such as sales, R&D, and supply chain, and accelerate the creation of value from enterprise data.
I. Overview of the Chinese Data Management Solution Market
1. Concept Definition
Frost & Sullivan defines a Data Management Solution (DMS) as a one-stop data management system provided by service providers to companies and organizations.
Data lakes and data warehouses are two mainstream architectures for implementing formal data management solutions:
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Data management solutions utilize computer hardware and software technology to effectively collect, store, compute, analyze, and apply massive amounts of data. The aim is to extract valuable information from raw data to support business decision-making.
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The boundaries between data lakes and data warehouses are gradually blurring. The governance capabilities of data lakes themselves, as well as the ability for data warehouses to extend to external storage, are being strengthened. The emergence of lake-hive integration has unified the flexibility and growth potential of data management.
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2. Typical Applications
Data Warehouse: Emphasizes the efficiency of big data processing and focuses on enterprise growth.
Data Lake: Data lakes can process unstructured data, emphasizing the enhancement of enterprise data management flexibility.
II. Value Creation Analysis of Data Management Solutions
1. Industry demand analysis
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2. Value Node Analysis
Data lakes and data warehouses provide the foundation for data assetization across various industries. The assetization of data will reconstruct the enterprise value chain from key value nodes such as marketing, R&D, and supply chain, thereby building a virtuous cycle within the data ecosystem.
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3. Business Practice Analysis
Data management has a significant amplifying effect on the earnings of various industries, with the most noticeable effects in the insurance and financial sectors; more timely decision-making/observation is the main source of benefits from data management.
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Data lakes and data warehouses, by connecting five key data management elements and providing the foundation for advanced data analysis, support enterprise decision-making in real time and accelerate the creation of value from enterprise data.
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III. Market Scale of Data Management in China
1. Market Size Analysis
The continuous issuance of favorable policies and the innovative integration of big data technology have driven the rapid development of China's big data industry. In the future, with more data application scenarios gradually being implemented, the market for data management solutions is expected to continue expanding.
Frost & Sullivan data shows that the market size of data management solutions in China is expected to reach $11.67 billion in 2024, with a compound annual growth rate of about 24% expected within five years for this segment.
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2. Market demand insights
Enterprise users will gradually increase their investment in data management solutions, hoping to improve decision-making and operational efficiency to establish competitive advantages. This willingness will rapidly drive up the market demand for data management solutions.
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3. Enterprise Cognition Analysis
Enterprises' perception of data management talents has shifted from expert to leader. As enterprises change their understanding of data management, the status of data management talents in the company is on the rise.
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4. Policy analysis
With the acceleration of digital economy construction, the government's emphasis on the development of big data industries has gradually increased. The multi-level policy system for the big data industry has been gradually improved, and sub-industries such as data management solutions have continued to benefit.
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IV. Trends in Data Management Solutions in China
1. Data Management Solution Development Milestones
Previously, the focus of data management solutions was on three main aspects: quantity, variety, and speed. The current phase focuses on the value of data, driving the development of new-generation database products from the supply side.
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2. Cloud deployment solutions will become mainstream
Based on the concept of separation of storage and computing, cloud services perfectly meet the needs for elastic scaling, feature iteration, cost control, and other characteristic requirements, achieving reasonable resource allocation in scenarios with differentiated resource demands.
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3. Lakehouse Integration of Data Management Solution Products
The demand for data management solutions is increasingly focused on minimizing data value loss and providing higher support for business decisions through data. The continuous clarity of these two demands has led to the 'towards' lakehouse integration in data management solution products.
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4. The integration of data management solutions and use cases has deepened
With the underlying facilities of data management solutions gradually maturing, the acceleration and deepening of technological upgrades and service application scenario expansion, industry applications of data management solutions are gradually extending to core businesses in various fields.
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V. Market Competition Analysis of Data Management Solutions
1. Comprehensive scoring performance
The Chinese data management solution market is in a stage of steady growth, with competitive entities having distinct advantages in product innovation capability, growth capability, and foundational capabilities.
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2. Leader in Data Management Solutions in China
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