The following is the In the first half of 2021, the market scale of China’s big data platform reached RMB 5.42 billion, with a year-on-year increase of 43.5% From IDC recommended by recordtrend.com. And this article belongs to the classification: IDC, big data.
IDC China released the 2021h1 big data platform market share report. The overall market scale reached 5.42 billion yuan, with a growth rate of 43.5% compared with the same period last year. The driving force of market growth comes from digital transformation, deployment of artificial intelligence, construction of industry cloud and policy drive of new infrastructure.
Technology / product hotspots
Lake Warehouse Integration / intelligent Lake warehouse: at present, the enterprise’s data is scattered in the lake and warehouse. The lake warehouse integration scheme can connect the lake and warehouse, especially when it is necessary to integrate the data in the data lake and the data in the data warehouse for analysis, so as to improve the data flow ability. Typical representative manufacturers: Alibaba cloud’s Lake warehouse integrated solution, Huawei cloud fusioninsight intelligent data lake, and Amazon cloud technology’s intelligent Lake warehouse architecture (here and below are sorted by the company’s initials)
Separation of storage and calculation: storage and calculation are separated to help customers flexibly allocate resources according to computing requirements. When capacity expansion is required, it is expanded according to computing resources and storage resources respectively to reduce the use cost. Typical representative manufacturers: Alibaba cloud’s three-tier pooling decoupling of storage and computing, and Huawei cloud’s Mrs storage and computing separation architecture.
Integration of big data analysis and AI: an integrated platform for data, training, reasoning, service and computing resource management. Typical representative manufacturers: Alibaba cloud Lingjie big data and AI integration platform, Google vertex AI workbench.
AI database: in the whole life cycle management process of AI development, it is necessary to uniformly store and manage eigenvalues and algorithm models, resulting in the demand for AI native database. Typical representative manufacturers: the fourth paradigm, Chapter 9 Yunji, Tianyun big data.
Graph database: a database with graph structure for storage and query. With the outbreak of artificial intelligence and big data analysis market, it has once again become a hot technology. Typical representative manufacturers: Huawei cloud ges, ant group graph intelligence / graph computing, neo4j, star ring technology stellardb, etc.
AI enhanced Bi: Using NLP, machine learning and other technologies to realize automation and intelligence in the use of Bi is also the development direction of almost all Bi manufacturers. Typical representative manufacturers: the fourth paradigm, fansoft, Merrill Lynch data, smart software, etc.
Data security: with the continuous improvement of laws and regulations such as data security law, personal privacy protection law and data security management regulations, as well as the investment of industry participants in privacy computing technology, data security has become one of the areas that the big data market must pay attention to.
In addition, intelligent data governance, stream batch integration, cloud native distributed database and multi model database are also hot technologies that have attracted high attention in China’s big data market in 2021 and began to be gradually adopted.
Industry perspective
In the Chinese market, industries with high spending on big data mainly include government, finance, operators, Internet and other industries. Among them, the focus of traditional government and enterprise fields on big data construction lies in the high integration of software and hardware, installation, deployment and implementation of operation and maintenance services, as well as data analysis applications on the big data platform. In the Internet industry, users focus on flexibility, scalability, performance, cost and cost performance, and pay high attention to the most cutting-edge technologies. Whether it is traditional government enterprises or the Internet industry, the core of big data construction is to realize data analysis and application. Narrow the distance between cutting-edge technology concepts and actual user needs, and gradually solve the contradiction between the upper big data analysis application needs and the underlying data infrastructure, so as to promote the deep implementation of big data technology in traditional industries.
Market pattern
In the big data platform software market in the first half of 2021, including public cloud and privatization deployment, Huawei cloud ranks first in the market with 18.5% market share, followed by Alibaba cloud, Amazon cloud technology, Tencent cloud, Inspur Group, Xinhua 3, xinghuan technology, etc. According to the public cloud deployment method, Alibaba cloud ranked first in the big data public cloud service market with a 43.5% share in the first half of 2021, followed by Amazon cloud technology, Tencent cloud, Huawei cloud, etc.
Huawei cloud has won many big orders in government and enterprise markets, such as government big data, operators, finance and energy. Alibaba cloud has accumulated a large number of Internet users on the public cloud and made great progress in government affairs and other fields. Amazon cloud technology has won a large number of public cloud users in the Chinese market by relying on the integration of intelligent Lake warehouse and comprehensive and rich data management and analysis product portfolio. Although the market segments have different layouts, the technical directions that manufacturers strive to tackle are roughly the same: separation of storage and calculation, intelligent Lake warehouse, interactive analysis, data governance, real-time processing, etc.
Influencing factors of market development
The development of China’s big data market has entered a stable stage. The current constraints mainly lie in the insufficient data sources in industry enterprises, the lack of long-term planning for digital construction, and the market needs new power to drive substantial growth.
The continuous improvement of data trading, data element cultivation, data right confirmation and trading mechanism, and the establishment of Shanghai big data exchange will help to promote a new wave of big data market.
The continuous improvement of data privacy protection laws and regulations not only enhances data security, but also enhances confidence in data transaction and use.
The 14th five year plan for the development of big data industry was released to provide guidance for the development of big data industry.
In addition, similar to the global market, the internal demand for building smart enterprises in the future will drive the continuous growth of the big data market.
Lu Yanxia, assistant research director of IDC China, said: “The challenge of the lack of high-quality data sources exposed in the process of digital transformation and intelligent upgrading will bring new opportunities to the big data collection, storage, management and analysis market. In the continuous process of the big data industry, the market also needs some new driving forces to realize the next explosive growth and enter the secondary growth curve. Strengthen the construction of data infrastructure and do better Good long-term digital planning and the establishment of a good data base can ensure the sustained and healthy growth of the market. “
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