IDC Analyst's Top ten forecasts for China's big data market

Based on the study of China-related market, IDC believes that China has great market potential in large data fields. The relevant business development of China's market also confirms this, and more and more IT suppliers are developing China as the hotspot of large data business. IDC believes that in the next few years the big data market will have the following trends:

1.Hadoop towards commercialization

Today, Hadoop's community environment is very similar to Linux 10 years ago. Linux in the early 90 began to set up an open source community, in the middle of the 90 SuSE, redhat These mainstream commercial manufacturers, and in 2000 formed a complete ecosystem, become the industry's mainstream operating system program. And Hadoop started in 2006-2007, in 2009, Cloudera, MAPR and other solutions. IDC believes that in the next 2-3 years, there will be a commercial release of the heavyweight Hadoop.

2. Some of the earlier Hadoop projects faced challenges

Hadoop has a bright future, but not all early Hadoop projects can be replicated and widely used. First, many of the early Hadoop projects were pilot projects or proof-of-concept properties and have now completed their historical mission; second, many Hadoop projects do not have enough cases to measure in the early stages of implementation, which will lead to the success of these solutions over the next few years.

3. Open source software brings more opportunities to large data markets

IDC believes that, contrary to people's traditional understanding, the prevalence of open source software in large data markets will not inhibit market business opportunities, instead open source software will bring more opportunities to the related areas of infrastructure hardware, application development tools, applications, services, and so on.

4. Large data-driven mergers and acquisitions among software companies

Large data concept coverage is very broad, including unstructured data from storage, processing to the various aspects of the application, and large data-related software vendors are also very many, but no one vendor can cover all aspects of large data. Therefore, IDC believes that in the next few years, large it vendors will be in order to improve their own large data product line for mergers and acquisitions, the first will be information management analysis software manufacturers, predictive analysis and data display vendors.

5. Rapid growth in the market for integrated equipment for large data

Since cloud computing and large data concepts have been introduced, the integration of hardware and software devices for the market has emerged. IDC believes that in the next few years, data warehousing all-in-one, NoSQL and other integration of a variety of technology integrated equipment will be further rapid development.

6. Large data from network data processing to enterprise-class applications

In the past few years, the main users of large data use limited to the Internet, telecommunications operators, such as a small number of enterprises. IDC believes that the market will gradually understand large data and not only the bulk processing of large amounts of network record data. Because of the increasing data capacity of other industries, industry users (such as energy, financial services, government, manufacturing) need large data solutions to monitor and analyze data streams.

7. Large data to create new market segments

IDC believes that the development of large data-related technologies will create new niche markets. For example, advanced data Services, based on data analysis and processing, will present an analysis of services (Analyzeasaservice) business with data analysis as a service product, integrating multiple information management to create component products that unify access and analysis of large data; Social network based analysis of large data There will even be a training market for large data skills, teaching data analysis courses, etc.

8. Large-packaged data industry analysis applications appear

With large data moving into various industries, the demand for large data analysis applications based on industry is growing. IDC believes that analytical applications for specific industries and business processes in the coming years will be packaged in a prepackaged fashion that will open up new markets for large data technology vendors. These analytical applications will also cover a wide range of industry expertise and attract the input of a large number of industry software development companies.

9. Large data-driven infrastructure development

To support the characteristics of large data unstructured and constantly refreshed, the infrastructure dimension will change in the future. The infrastructure support for large data is not limited to high-performance computing, it will require better software for hardware products to support virtualization and distributed architectures. At the same time, the layered storage solution based on solid-state storage and the intelligent load-balanced network structure will be applied more.

10. China has become one of the most important data markets in the world

China is already the world's largest PC and smartphone market, and the number of Internet users and mobile Internet users is the largest in the world, and these terminals create data on the Internet all the time. At the same time, 2011 Chinese Enterprise-Class storage shipments also reached the world's second largest. The huge data capacity not only makes many international manufacturers attach importance to the Chinese market, but also makes China's large data applications have different characteristics from abroad, we have reason to expect that China's large data market will appear localization of innovative solutions.

Based on the prospect of large data market, IDC has focused on China's large data market as a hot topic in recent years to carry out special tracking research, including the current situation of user demand for large data, the size of existing large data market and the forecast of future development trend.

(Responsible editor: Lu Guang)