Big data application challenges and opportunities coexist. Who will achieve "overtaking on the curve"?

Although the application of big data in my country is still in its early stages, it has far-reaching significance for the transformation and development of my country's economy and has a driving effect on the intensive development of the entire economic society. The development and operation of big data application products have also become opportunities and challenges for many technology companies to "overtake on the curve" in the new round of competition. Riding on the cusp of big data, a large number of big data companies will stand out in the application of sub-industries and become unicorn enterprises in the industry.

The big data industry has gone through the concept stage, exploration stage, and market launch stage. It has now matured in terms of acceptance, technology, and application, and has begun to enter a rapid development stage of the industry. The huge application value of big data has driven the rapid development of the big data industry, and the scale of the industry has grown rapidly.

I. The growth rate of the big data market size has accelerated, and applications in various industries and fields have continued to emerge

IDC predicts that the global big data market size will grow from US$3.2 billion in 2010 to US$17 billion in 2015, with a compound annual growth rate of 40%. In the future, as the application effects gradually emerge and the application scenarios continue to deepen, some successful cases will have a demonstration effect. It is expected that the scale of China's big data market will maintain a high growth rate of about 40% from 2016 to 2018.

With the maturity of big data technology, the focus of the market has quickly shifted from concept speculation to actual application, and the business model value of data industry product application has been further highlighted. More and more successful cases have emerged in different fields, and big data applications have gradually taken root.

II. Challenges of big data application in different industries in my country

Due to various factors, my country's big data application is still in the early stage of development, mainly manifested in:

?Insufficient data richness and openness

Rich data sources are the premise for the development of the big data industry. However, the total amount of digital data resources in my country is far lower than that of the United States and Europe. Limited data resources have low standardization, accuracy, integrity, and low utilization value, which greatly reduces the value of data. At the same time, the information systems of the government, enterprises and industries in my country lack unified standards, forming many "information islands", with low data openness and difficulty in sharing, which poses a great obstacle to data utilization.

?Data mining and analysis tools need to be improved

To process big data in a low-cost and scalable way, it is necessary to restructure the entire IT architecture and develop advanced software platforms and algorithms. In this regard, foreign countries are once again ahead of us. In particular, big data processing software platforms such as Hadoop, which have been developed in an open source model in recent years, and their related industries have been initially formed in the United States.

However, my country's data processing technology foundation is weak, and it is generally based on following, which makes it difficult to meet the needs of large-scale application of big data. If big data is compared to oil, then data analysis tools are the technology of exploration, drilling, refining and processing. my country must master the key technologies of big data to transform resources into value. It should be said that to overcome this hurdle, open source technology provides us with a good foundation.

?Model innovation and business expansion are still insufficient

Although big data applications have been extended to various fields in 2015, the application models are mostly similar, and application model innovation needs to be further strengthened. The purpose of enterprises applying big data is rarely to expand new business, develop new products and innovate value-added services, but mostly to improve existing business, promote existing products or control costs.

III. Opportunities for the application of big data in different industries in my country

Against the backdrop of the rapid development of global informatization, big data has become an important basic strategic resource for the country and is leading a new round of technological innovation. At present, my country has a certain foundation in the development and application of big data, and has market advantages and development potential.

The international big data industry has developed more maturely. Based on the broad development prospects of big data, various provinces and cities have also issued big data development plans. Promoting the development and application demonstration of big data-related industries is becoming a major strategy for various places to seize the commanding heights of a new round of economic and technological development, and actively taking big data as an important opportunity to enhance local development.

?The market growth rate has slowed down slightly, and application has become a new driving force for growth

From Gartner's latest technology maturity curve in 2014, it can be seen that big data technology has begun to mature and become easier to be applied in the industry market. Technological innovation and business model innovation have promoted the gradual maturity of applications in various industries. The value created by applications has increased in the market size and has become a new driving force for growth.

Regional development is still uneven, and information technology infrastructure and data resources are key

Developed countries in Europe and the United States have first-mover advantages and are in a leading position. China, Japan, South Korea, Australia, Singapore and other countries have played their respective advantages and followed closely. Most other countries have developed relatively slowly and are still in the stage of concept speculation and infrastructure construction.

?The industrial ecology is constantly optimizing, and infrastructure construction is more reasonable

Open source technologies such as Hadoop, Spark, and Storm have been more widely recognized and applied, and the big data technology ecosystem has been formed. At the same time, governments, enterprises and industrial organizations attach great importance to the establishment of the big data industry ecology and environmental optimization, and constantly improve the big data ecological environment through the construction of infrastructure, the formulation of laws, regulations, policy systems and data standards, and the country's control over data resources and core competitiveness.

?Regional industrial agglomeration has taken shape, and cooperative and coordinated development has become the norm

The agglomeration development effect of my country's big data industry has begun to emerge, and four agglomeration development zones have emerged in the Beijing-Tianjin-Hebei region, the Yangtze River Delta region, the Pearl River Delta region and the central and western regions, each with its own development characteristics.

The craze for big data has spawned many new technologies, but the real value lies in the interconnection between these technologies, and the connection between technologies, tools and applications. This connection allows our tools and applications to deliver more valuable insights to end users.

In the next five years, a large number of companies that provide big data services based on the cloud will emerge in large numbers, and in the future industrial landscape, the sharing economy will expand from individuals to enterprises. Enterprises will participate in the API economy with their best capability modules and the most scarce resource modules, thereby maximizing the value of APIs.