China’s subject tutoring industry develops quickly thanks to the policy on national college enrollment expansion in 1999 and the idea that the national college entrance examination has a radi...Jul 22 2021
Market size: According to iResearch's statistic, in 2020 the scale of China’s database market reached 24.71 billion yuan, growing by 16.2% YoY. China's database market grows fast from 2020 ...Jun 24 2021
Industry scale and growth：Industry scale and growth: The scale of China’s pet industry in 2020 was around 300 billion yuan. Due to policy, economy, society, and...Jun 16 2021
Market: The total e-sports market exceeded 145 billion yuan in 2020 and is expected to exceed 180 billion yuan in 2021. The growth is mainly from the rapid development of the mobile e-sports g...May 26 2021
In the early business development period, companies would deploy IT systems based on vertical and personalized business logic to solve business problems. Most of the various information s...May 26 2021
- Development Background of Well-rounded EducationJul 22 2021
Rise with high-quality economic development and changes in policy education concept
China’s subject tutoring industry develops quickly thanks to the policy on national college enrollment expansion in 1999 and the idea that the national college entrance examination has a radical influence on one’s life. Well-rounded education enters a new period thanks to the high-quality economic development, upgrading education concepts and consumption level of parents, and increasing supply of talents who have received higher education.
New Challenges and Opportunities Brought by Policies and Regulations
Challenges and opportunities co-exist. Development of the industry will be healthier and more orderly.
In August 2018 the General Office of the State Council published ‘Opinions on Regulating the Development of Off-campus Training Institutions’, which clarified the basic requirements for spaces and teachers of these institutions. In July 2019 six ministries including the Ministry of Education jointly issued ‘Opinions on the Implementation of Off-campus Online Training Regulation’, which clarified the rectification standards for tutoring institutions in terms of teacher review and operating regulations again. To implement policies of the Ministry of Education, many local governments in China have released guidance on enhancing after-school services for primary and secondary school students, requiring schools to extend after-school service time, provide students with educational resources and extracurricular activities like interest groups to promote their all-around development. Because of the tightening policies and supervision, the tutoring firms are under increasing cash flow pressure and have to bear compliance costs and operating costs. On the other hand, the tightening policies contribute to the healthy and orderly development of the industry. In-school services might become the next opportunity.
Innovation and Changes Caused by Advancement of Science and Technology and the Covid-19 Pandemic
The pandemic accelerates the digital transformation, OMO practice and innovation of the well-rounded education industry
Nowadays, society is being reshaped based on computer networks. The boundaries between virtual and reality, atoms and bits are increasingly blurred. In the education industry, the OMO model of online and offline integration will become an inevitable trend. At present, all industries are empowered or subverted by digitization and intelligence, and the education industry is no exception. Empowered by digitalization and intelligence, more efficient product presentation and delivery methods, together with more efficient and scientific operation and management models, are impacting the traditional business models of education. The Covid-19 pandemic further accelerates the OMO exploration and digital transformation of enterprises in the well-rounded education industry.
The Industry Has Started Reshaping
Increasing players, capital, application of science and technology, and intensifying competition
On the supply side, more and more Internet giants, subject tutoring institutions, and startups are entering the well-rounded education market. The institutions’ businesses are penetrating into each other, leading to fiercer competition. Meanwhile, the huge amount of capital poured into this industry contributes to the merger and integration wave and intensifies customer acquisition competition. In addition, application technologies are growing in the well-rounded education field. The online and OMO trends of well-rounded education have begun. Online well-rounded education will cover a wider range and enhance industry concentration. iResearch thinks that the well-rounded education industry is being reshaped. The competitive landscape will no longer be so scattered, and there will be more giants in segments.
Scale of Well-roundedEducation Market Segments
The markets for art education and language skills arelarge. The STEAM education, mathematical thinking markets are growing quickly.
Well-rounded education has many segments such as art, language, sports, etc. Andevery segment contains many categories. Statistical accounting shows that themarkets for art education and language skills are large and the markets forSTEAM education, mathematical thinking have been growing quickly in recentyears. Meanwhile, parents are now attaching more importance to their children'sindependent development and social involvement. Emerging categories such associal competencies, EQ training and children's financial quotient educationare attracting more and more attention.
Scale of China’s Database Market
The market scale reached 24.71 billion yuan in 2020
Market size: According to iResearch's statistic, in 2020 the scale of China’s database market reached 24.71 billion yuan, growing by 16.2% YoY. China's database market grows fast from 2020 to 2022 because of multiple reasons: 1) Favorable policies. The government encourages the development of domestic database vendors; 2) Rising demand. Domestic production and digital transformation lead to rising demand; 3) Products and services of the suppliers, startups, and cross-industry firms are maturing; 4) Chinese enterprises are increasingly willing to pay for basic software and their expenditure on IT has been rising, which is conducive to the long-term development of the market.
Characteristics of the Development of China's Database Market
Various kinds of databases are booming. Relational databases are the mainstream.
With the development of the Internet, various types of data have been exploding, and innovative business scenarios are emerging, promoting the innovation of technology and product architecture of suppliers. Since the 2010s, database vendors of various types and adopting different technical routes have emerged, and the Chinese database market has been booming. However, from the perspective of commercial value, the revenue of the Chinese database market is still mainly from relational databases. The NoSQL databases mainly adopt the open-source model, which results in secondary development and service costs.
Characteristics of the Development of China's Database Market (2)
Supported by favorable policies, Chinese vendors are quickly expanding their market shareshave been rising year by year. Among the domestic vendors, a group of traditional domestic database vendors established around 2000, such as Dameng, Kingbase, GBASE, and Shentong, have good performance in recent years. They develop from purchasing source code and using open source to independent research and development. Their strength has been increasing, and they have begun to rapidly expand into other industries such as energy, power, and transportation. In addition, startups, cloud vendors and ICT vendors have also been working in the database market in recent years, and the domestic group is increasingly strong. In contrast, although foreign database vendors such as Oracle, Microsoft, IBM, etc., still have a high market share in the core scenarios of OLTP, their overall market share is gradually falling.
Characteristics of theDevelopment of China's Database Market (3)
The growth rate of public cloud database will fall
The databasesof the public cloud deployment model in China have been growing rapidly in thepast three years and accounted for 32.7% of the market in 2020. The growth rate will fall but there’sstill room for expansion. From theperspective of application logic, databases serve data and data servicesbusinesses. Business innovation andchanges of data are also fed back to the database market. Currently, clouddatabase is mainly used in the Internet industries and Internet scenarios oftraditional industries. In the future, the increasing business innovation islikely to increase the demand for cloud databases.
Characteristics of theDevelopment of China's Database Market (4)
Startup vendors keep emerging thanks to new technologies such as HTAP and NoSQL
With new technology architecture like NewSQL, SQL on Hadoop, NoSQL, a group of startup vendorsestablished around 2015 adopt the idea of open source or vertical fieldcommercialization to gradually increase their market influence. They areperforming well in the Internet, finance, IoT, and other industries. Although their market share issmall, their revenue is growing at the highest rate in China's database marketand is expected to be 10 times larger by 2025. Thetracks of startup database vendors tend to converge. A small group ofoutstanding vendors with core technology advantages and high-value applicationscenarios will gain more and more market shares.
Market Scale of the Pet Industry
The market scale was nearly 300 billion yuan in 2020 and will maintain steady growth in the next three years.
With the increase of income and pet owners, the products and services related to pet consumption are increasingly diversified. The scale of China’s pet industry is growing rapidly, reaching nearly 300 billion yuan in 2020. The CAGR from 2015 to 2020 was as high as 32.8%. As the industry is maturing, iResearch predicts that its compound growth rate in the next three years will be 14.2% and its scale will hit 445.6 billion yuan in 2023.
An Increasing Proportion of Pet-related Consumption Happens Online Because of the Pandemic
People spend more time with their pets during the outbreak of Covid-19, driving the rising pet-related consumption and growing attention paid to pets’ health.
The pandemic contributes to the expansion of Internet users who watch pets online, leading to many potential consumers. Also, influenced by the pandemic, an increasing proportion of consumers choose to buy pet-related products online instead of offline. The sales of e-commerce platforms are increasing quickly.
Pet Types Are Diversified butCats and Dogs Are the Mainstream
70% of pet owners have dogs and over half of petowners keep cats. There is trend of diversified pet types.
16% of petowners have aquatic pets, which isthe most popular type other than cats and dogs. Pet owners who have birds, reptiles and rabbits all account for 9%. Rodents and amphibians account for 6% and 4%, respectively.
Overview of the Development of China's E-sports Industry
E-sports is an official event of the Asian Games. International Olympic Committee held the Olympic Virtual Series for the first time
China's E-sports Market Scale
The market size was around 150 billion yuan in 2020
China's e-sports market maintained fast growth in 2020, mainly thanks to the rapid expansion of the mobile e-sports game market and the e-sports ecological market. Influenced by the pandemic, users' online entertainment hours increased significantly, driving the growth rates of the mobile e-sports game market and the e-sports ecological market to 36.8% and 45.2%, respectively.
Characteristics of The Development of China's E-sports Industry
InvestmentRelated to the E-sports Market in China
Investment is rising again
Investment-relatedto e-sports had been rising since 2011 and reached its peak in 2017 and 2018.Game livestreaming and e-sports training partners are among the most popularinvestment targets. With the reshuffle of the e-sports market and the end oflivestreaming war, the investment amount in China’s e-sports market fell toonly 910 million yuan in 2019, decreasing by 91.3% year on year. Investment inthe industry became rational. During the outbreak of the Covid-19 pandemic,e-sports competitions were the first to restart online and global events,attracting attention and more investment. E-sports content operators ande-sports clubs have been typical investment targets since the outbreak.Status Quo of theCommercialization of China's E-sports Industry
E-sports area has become an important marketing pointfor brands
System Architecture with Isolated Data Islands
Multiple sources and heterogeneous of the underlying computing and storage architecture result in system silo and isolated data island
In the early business development period, companies would deploy IT systems based on vertical and personalized business logic to solve business problems. Most of the various information systems were purchased and built independently. They are deeply coupled with processes and underlying systems and have many cross-correlations with upstream and downstream systems, resulting in multiple isolated data islands in the company and huge difficulty in achieving total interconnection of information. Meanwhile, in the exploration of new platforms, new businesses, and new markets, the system can’t be directly reused or quickly iterated. The data generated in the process can’t be interconnected with data accumulated in the traditional model, which exacerbates the problem of isolated data islands. Since it is hard for scattered data to deal with the changes of front-end businesses, support corporate operation decisions, there is an urgent need for a mechanism that combines the old and new models and integrates the data scattered on various islands to gain data service capabilities.
The Connotation of the Data Middle Platform
Data middle platform is not only a technical concept, but also a corporate management concept
Data middle platform is in the middle of the front end and the back end. It is an enterprise-level data sharing and ability reuse platform. It contains a series of data components or modules. Through the unified collection, processing, storage, calculation, analysis, and visualization of an enterprise’s massive multi-source and heterogeneous data, the data middle platform transform data into a company’s core asset, providing data resource and capability support for the business front end to achieve refined operation driven by data. Based on its information construction foundation and business characteristics, the enterprise defines the capabilities of the data middle platform and selects and uses data components to build a middle platform. In a broad sense, the data middle platform is a model and concept of the organization and management of an enterprise, integrating a company’s strategic determination, organizational structure, and technical structure. The enterprise strategically builds a unified collaborative base, that is, a middle platform organization, to coordinate and support various business departments, expand business boundaries by technology, and provide room for the growth of new businesses and new departments.
System implementation requires the multi-dimensional capabilities of both the supply and demand parties
The construction of a data middle platform involves many technologies. In the aspect of technology structure, it needs scalability, agility, lightweight, emphasizes interaction with the front-end, and realizes application functions through service arrangement to meet the demand of the front end. Data middle platforms now follow the design principle of “high cohesion, loose coupling, integrate distributed model, micro service, container cloud, DevOps, big data processing and architecture with high availability, high performance and high concurrency and have formed a mature methodology. Currently, the difficulties faced by data middle platform construction are mainly how to combine mature technical solutions with real conditions and characteristics of the industry and enterprises and make feasible solutions for data middle platform construction based on application scenarios. The enterprise’s resource allocation ability, management experience, organizational structure, business organizing ability, as well as data middle platform service providers providing consulting and planning services for corporate data governance in enterprise middle platform construction, gradually become key elements in the construction of data middle platforms.
The Core Value of Data MiddlePlatforms
Cut data construction costs and improve datagovernance efficiency
Theconstruction of data middle platforms can help companies connect isolated dataislands and build unified data standards, including data constructionspecification and data consumption specification. Besides, based on theoriginal data relations and SOA architecture, and other corporate datamanagement experience, the data middle platforms can help solve the “data silo”problem in enterprise information management and manage data from theperspective of the entire life cycle. With the construction of data middleplatforms, the data ambiguity is gradually eliminated and the transparency andutilization rate are largely increased, which can effectively reuse front-endbusinesses through data and analysis technologies, cut data calculation and storage costs, andreduce labor costs caused by inconsistent or repeated data system construction.Since the reuse of systems and capabilities is easy, when business volumeincreases or data connection points and processes change, the connected datamiddle platforms can avoid repeated system constructions and support theemergency and fast development of new business forms. Since data middleplatforms integrate businesses and technologies, the data generated frombusinesses don’t need a cross-department transmission, and the data analysisresults based on technology can be directly used in business optimizationplans. Real-time data sharing directly empowers businesses, improves timelinessand sensitivity of the entire chain of corporate data governance, and avoidscognitive biases caused by information asymmetry between the technology andbusiness sectors.
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