Due to the rapid development of mobile Internet, e-commerce and social media, the amount of data that enterprises need to face has exponentially increased. According to a research report by IDC "Digital Universe", the amount of information newly built and duplicated in the world has exceeded 40ZB in 2020, 12 times that of 2012, while the data volume of China will exceed 8ZB in 2020, up from 2012 The annual increase of 22 times. The rapid growth in data volume has brought about the boom in big data technology and service markets. IDC Asia Pacific (Excluding Japan) Recent market research in the field of big data and analytics (BDA) shows that the market for big data technology and services will increase from $ 548 million in 2012 to $ 2.38 billion in 2017 and the next 5 The compound annual growth rate reached 34.1%. The market covers storage, servers, networking, software and services markets.
IDC observed that in the last year there have been more and more examples of applications in big data and analytics in the Asia Pacific region. In China, the traditional industries like Internet companies, telecom, finance and government started to adopt big data and analytic technologies to start their own journey of big data practice. The application scenarios are also gradually expanding from the structured data Analysis, the development of semi-structured, unstructured data analysis, in particular, social media information analysis by the user more attention. Users are starting to evaluate new technologies for big data related to Hadoop, all-in-one database and memory computing.
According to the latest IDC research on Chinese users, the three major rewards for Chinese users in their expectations of big data projects are increasing their competitive advantage, reducing costs and attracting new customers. The current big data projects are mainly focused on business process optimization and improve customer satisfaction applications. IDC found that many users want big data to bring business innovation to their business and start using advanced analytics solutions to manage complex data environments. In the past year, users' attention to the collection and analysis of social data has increased significantly. In the future, geo-location analytics will grow rapidly, which will also drive users' attention to big data security and privacy management. In the Asia Pacific region, users in Australia and Singapore are investing in big data primarily in consulting services, focusing more on how to design and implement programs based on new best-practice needs. China and India have significant hardware investments in big data and are more likely to invest in infrastructure that is relevant to data centers.
Pan Yonghua, senior research manager for IDC China in big data and business analysis, said: "Overall, the application of big data in China is still in its infancy. There are quite different levels of application in different industries. The Internet industry mainly uses open source software to develop big data itself Applications, and traditional telecom, banking and government industry users have begun to deploy big data applications faster than any other industry.Hadoop is also moving from Internet companies into the traditional industries, especially in the offline category for unstructured data There are application scenarios for real-time applications, such as log storage, query and analytics applications, but users should recognize that Hadoop is not synonymous with big data and that the big data market in the future will be where multiple technologies and platforms coexist. "
On November 14, IDC held the 2013 Asia Pacific Big Data Summit in Beijing. IDC's research team, together with representatives from industry leaders Splunk and Commvault, shared their views on many issues including current The status quo and challenges of China's big data applications, the misunderstanding of Chinese users in the big data and analytics market, the industry opportunities in the big data application market, and precautions for users in deploying big data applications.