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China Big Data Industry Report (2016-2021), Prospect and Investment Strategy Planning

Last Update:2016-09-21

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Preface

Table of Content

In a demand-driven economy, the key to success is that the enterprise can firmly lock and capture it in when the demand has not yet been formed. Successful companies will often devote a lifetime of effort and resources to search the current industry demands, potential demands and new demands!

At present, the world has entered the era of big data. Big data got into people's vision as a revolutionary storm. Its technology and market achieve rapid development. Calls for management of large data calls are pouring. With the gradual release of the value of big data, it becomes the most potential blue ocean of IT information industry. In terms of technological and industrial level, the international has not yet formed technology and market monopoly in the field of big data. Opportunities for technology innovation are more. Currently, big data technology and application demand are booming. Revolutionary challenges raised by open source technology are facing each IT vendor. This virtually shortens the gap between each start, which means there are huge opportunities for domestic enterprises to explore the big data market!

This report is based on long-term market tracking information by Forward Intelligence on big data industry. It analyses comprehensively and accurately the structure system from the overall height of the industry for you. This report mainly analyzes development status quo of the global big data industry and forecast; development status quo of China’s big data industry and forecast; survey of demand and application trends of China’s enterprise big data; application value and demand of big data in typical areas; business model of big data industry; strategic layout of big data industry of domestic and foreign enterprises; investment opportunities of China’s big data industry chain; status quo and trends of investment and financing of big data industry.Meanwhile, based on first-hand market data of the whole industry in the past few years, it can allow you to fully and accurately grasp market trends and development trends of big data industry.

The greatest feature of this report is forward-looking and timeliness. Based on the development path, it makes careful analysis and prediction of the future development trends of big data industry. It is a rare quality for related companies of big data industry and investment companies to accurately understand the latest developments inbig data industry, grasp market opportunities, make the right business decisions and clear corporate directions. It is also a heavyweight report and the industry's first on comprehensive and systematic analysis of demand of big data in typical areas and key companies.

This report will help big data companies and investment companies accurately understand the latest developments of the industry and early detect blank points of industry market, opportunities, growth and profitability points ...... it will help prospectively grasp unmet market needs and trends of the industry and become a good advantage for sustainable development, effectively avoid the investment risks from the industry, more efficiently consolidate or expand appropriate strategic target markets, and firmly grasp the initiative authority in market competition.

During the writing process, the report is supported by Ministry ofIndustry and Information Technology, the National Economic Information Center, the National Bureau of Statistics, the International Institute of Information, Ministry of Commerce of China, Tsinghua University Library, Market and Economy Research Institute of the State Council’s Development Research Center and other institutions. We express our special thanks!

Pls note: This report includes a lot of market data, especially enterprise ranking data. It is for business reference purposes only. We hope corporate advertising clients do not use for advertisement ranking comparison. Otherwise, all the consequences caused, Forward Business will not bear!

Special Notes: Neglection of some subtle signs of dramatic changes in the external environment and untimely update the strategic decisions with environmental changes can lead to loss of competitive advantages. Truly successful enterprises (organizations), consciously or unconsciously, will do scientific analysis of the external environment and thus formulate crucial and scientific business strategies!

Qianzhan sincerely wishes every ambitious enterprise can develop a high-quality business decisions and continue to achieve success!

Qianzhan Industry Research Institute

Big Data Industry Research Group

Chapter 1: Overview of basic information of big data industry

1.1 basic concept of big data

1.1.1 definition of big data

1.1.2 characteristics of big data

1.1.3 types of big data

1.1.4 difference between big data and BI

1.2 historical background of generation of big data

1.2.1 advances in information technology

1.2.2 birth and development of the Internet

1.2.3 development and application of cloud computing

1.2.4 development of Things

1.2.5 development of social networks

1.2.6 popularization of intelligent terminals

1.3 role and influence of big data

1.3.1 role and significance of big data

(1) for state and government

(2) for enterprise

(3) for individual

1.3.2 business value of big data

1.3.3 impact and trends of big data

(1) impact on IT industry

(2) impact on IT application

1.4 analysis of big data industry chain

1.4.1 ecosystem of big data

1.4.2 concept of big data industry

1.4.3 composition of big data industry chain

(1) data generation and accumulation

(2) data organization and management

(3) data analysis and discovery

(4) data application and service

1.5 analysis of key technologies of big data

1.5.1 big data and cloud computing

(1) programming model

(2) mass data distribution and storage technology

1) massive data management technology

2) virtualization technology

3) cloud computing platform administration technology

4) parallel computing and parallel algorithms

(3) Web2.0

1) Service-oriented system structure SOA

(4) Cloud security

1.5.2 processing tools of big data

1.6 opportunities and challenges brought by big data

1.6.1 opportunities brought by big data

(1) mining and application of big data become the core

(2) big data brings development opportunities for information security

1) to make business intelligence and information security growth accelerate

1.6.2 challenges brought by big data

(1) talent

(2) technology

(3) information security

Chapter 2: Development status quo of the global big data industry and forecast

2.1 the world has entered the era of big data

2.1.1 scale of storage of big data of the world

2.1.2 regional distribution of big data of the world

2.2 analysis of innovations of the global big data vendors

2.2.1 Hadoop distribution

2.2.2 next generation of data warehouse

2.2.3 analysis platform and application of big data

2.2.4 big data as a service

2.2.5 non- Hadoop big data platform

2.3 status quo and trends of application of big data of the world

2.3.1 foreign data open strategy and wave

2.3.2 status quo of application of foreign big data and economic value

(1) status quo of application of American big data and economic value

(2) status quo of application of European big data and economic value

(3) status quo of application of Japanese big data and economic value

2.3.3 big data has risen to the height of a national strategy

(1) United States proposed development plans for big data

(2) EU plans big data as a priority area of Horizon2020

(3) Japan's new ICT strategy focuses on big data

(4) South Korea launched the strategy of big data center

2.4 review of the global big data industry in 2013

2.4.1 review of development of the global big data industry in 2013

2.4.2 hot events of the global big data industry in 2013

(1) overall development of the technology platform

(2) prevalence of big data machine

(3) enterprises’ increase investment into big data

(4) industry giants to accelerate industrial chain layout

(5) emerging enterprises are emerging

2.5 analysis of business model of the global big data industry

2.5.1 value model of endogeny-type big data

2.5.2 value model of exogenous-type big data

2.5.3 value model of parasitic-type big data

2.5.4 value model of product-type big data

2.5.5 value model of cloud computing service type of big data

2.6 market scale of the global big data industry and forecast

2.6.1 scale of the global big data industry and forecast

2.6.2 subdivided market of the global big data and forecast

(1) subdivided market of the global big data

(2) professional service market of big data and forecast

(3) market scale of big data computer and forecast

(4) market scale of big data software and forecast

2.7 analysis of market pattern of the global big data industry

2.7.1 analysis of type of enterprises of the global big data industry

2.7.2 proportion of revenues of the global specializing big data vendors

2.7.3 market pattern of the global specializing big data vendors

2.8 development trends of the global big data industry and problems

2.8.1 development trends of the global big data industry

2.8.2 development trends of the global big data technology

(1) technologies tend to diversify

(2) data analysis platform based on cloud will be further enhanced

(3) gradually expand data analytic set

2.8.3 main problems facing the global big data industry

(1) big data storage technology

(2) data in-depth analysis and mining

(3) data security

(4) privacy protection

Chapter 3: Development status quo of China’s big data industry and forecast

3.1 China’s big data era has come

3.1.1 analysis of the development of Internet

(1) scale of Internet netizens

(2) scale of Internet resources

3.1.2 analysis of the development of social media

(1) news website

(2) network video

(3) search engine

1) instant messaging

(4) network community

(5) microblogging

(6) blog / personal zone

3.1.3 analysis of the development of Things

(1) development status quo of China's Things industry

(2) development scale of China's Things industry

3.1.4 analysis of the development of e-commerce

(1) overview of the development of Chinese e-commerce industry

(2) development scale of Chinese e-commerce industry

3.1.5 analysis of the development of mobile devices

3.1.6 analysis of data volume

3.2 Chinese government’s support for big data research

3.2.1 863 plan

3.2.2 major national science and technology projects

3.2.3 development planning of Things during the twelfth-five year period

3.3 analysis of development status quo of China’s big data industry

3.3.1 construction of big data industry chain

3.3.2 analysis of life cycle of big data industry

3.3.3 analysis of market scale of big data industry

3.3.4 distribution of investment of big data application industry

3.3.5 challenges facing the big data industry

3.4 analysis of Chinese application practice of big data

3.4.1 application of big data in economic warning

3.4.2 application of big data in marketing

3.4.3 application of big data in the medical field

3.4.4 application of big data in the financial field

3.5 China’s latest developments in big data in 2012-2013

3.5.1 developments of enterprise big data products and technologies

3.5.2 Zhongguancun big data chain begins to appear

3.5.3 local governments introduced policies to boost the development of big data

3.5.4 Huawei joined British universities to develop "Big Data"

3.6 outlook for China’s big data industry in 2013-2017

3.6.1 forecast of the overall scale of big data industry

3.6.2 forecast of subdivided market of big data industry

(1) forecast of big data infrastructure hardware market

(2) forecast of big data software market

(3) forecast of big data service market

3.7 roadmap for development of Chinese big data industry

3.7.1 roadmap for development of big data industry

Chapter 4: Survey of demand and application trends of Chinese enterprise big data

4.1 background of survey

4.1.1 industry of respondents

4.1.2 scale of respondent enterprises

4.1.3 monthly new data scale of respondent enterprises

4.2 analysis of demand for enterprise big data

4.2.1 problems of enterprise data system architecture

4.2.2 technical problems of data facing enterprises

4.2.3 problems facing enterprise data mining and analysis

4.3 status quo of application and planning of enterprise big data

4.3.1 service provider of enterprise data processing products

4.3.2 investment of enterprise big data

4.3.3 enterprises plans to deploy and open big data solutions

4.3.4 scale of deployment of enterprise big data

4.4 basis for selection of application of enterprise big data

4.4.1 factors for enterprises’ considering the selection of data products

4.4.2 enterprises’ interest in characteristics of data products

4.4.3 factors for enterprises’ considering the selection of service providers

4.5 analysis of trends of application of enterprise big data

4.5.1 enterprises’ concerns about new technologies of data management

4.5.2 enterprises’ how to treat the future of business intelligence

Chapter 5: Analysis of application value and demand of big data in typical fields

5.1 government

5.1.1 status quo of e-government construction

5.1.2 application demand of government big data

5.1.3 application scenario of government big data

5.1.4 application value of government big data

5.1.5 typical case of application of government big data

5.1.6 forecast of application of government big data

5.2 Telecommunications

5.2.1 application demand of big data of the industry

5.2.2 application scenario of big data of the industry

5.2.3 application value of big data of the industry

5.2.4 typical case of application of big data of the industry

5.2.5 forecast of application of big data of the industry

5.3 Finance

5.3.1 status quo of construction of informatization of the industry

5.3.2 volume and characteristics of data of the industry

5.3.3 application demand of big data of the industry

5.3.4 application scenario of big data of the industry

5.3.5 application value of big data of the industry

5.3.6 typical case of application of big data of the industry

5.3.7 forecast of application of big data of the industry

5.4 Internet

5.4.1 volume and characteristics of data of the industry

5.4.2 application demand of big data of the industry

5.4.3 application scenario of big data of the industry

5.4.4 application value of big data of the industry

5.4.5 typical case of application of big data of the industry

5.4.6 forecast of application of big data of the industry

5.5 Retail

5.5.1 status quo of construction of informatization of the industry

5.5.2 volume and characteristics of data of the industry

5.5.3 application scenario of big data of the industry

5.5.4 application value of big data of the industry

5.5.5 typical case of application of big data of the industry

5.5.6 forecast of application of big data of the industry

5.6 Medical care

5.6.1 status quo of construction of informatization of the industry

5.6.2 volume and characteristics of data of the industry

5.6.3 application scenario of big data of the industry

5.6.4 application value of big data of the industry

5.6.5 typical case of application of big data of the industry

5.6.6 forecast of application of big data of the industry

5.7 Smart city

5.7.1 status quo of construction of smart city

(1) investment scale of smart city and forecast

(2) analysis of IT investment of smart city

5.7.2 application demand of big data of smart city

5.7.3 application value of big data of smart city

5.7.4 typical case of application of big data of smart city

5.7.5 forecast of application of big data of smart city

5.8 Energy

5.8.1 status quo of construction of informatization of the industry

5.8.2 application demand of big data of the industry

5.8.3 application scenario of big data of the industry

5.8.4 application value of big data of the industry

5.8.5 typical case of application of big data of the industry

5.8.6 forecast of application of big data of the industry

5.9 Manufacturing industry

5.9.1 status quo of construction of informatization of the industry

5.9.2 volume and characteristics of data of the industry

5.9.3 application demand of big data of the industry

5.9.4 application scenario of big data of the industry

5.9.5 application value of big data of the industry

5.9.6 typical case of application of big data of the industry

5.9.7 forecast of application of big data of the industry

5.10 Other fields

5.10.1 application demand of big data of education industry

5.10.2 application demand of big data of military industry

5.10.3 application demand of big data of tourism industry

Chapter 6: Strategic layout of big data of domestic and foreign enterprises

6.1 layout of big data of foreign enterprises

6.1.1 IBM

(1) layout lines of big data

(2) market positioning of big data

(3) solution for big data

(4) value to the user

(5) revenue and proportion of big data

(6) analysis of service structure of big data

6.1.2 HP

(1) layout lines of big data

(2) market positioning of big data

(3) solution for big data

(4) value to the user

(5) revenue and proportion of big data

(6) analysis of service structure of big data

6.1.3 Intel

(1) Layout lines of big data

(2) Marketing positioning of big data

(3) Solution of big data

(4) Value to the user

(5) Revenue and proportion of big data

6.1.4 Teradata

(1) Layout lines of big data

(2) Marketing positioning of big data

(3) Solution of big data

(4) Value to the user

(5) Revenue and proportion of big data

(6) Analysis of service structure of big data

6.1.5 Dell

(1) Layout lines of big data

(2) Marketing positioning of big data

(3) Solution of big data

(4) Value to the user

(5) Revenue and proportion of big data

(6) Analysis of service structure of big data

6.1.6 ORACLE

(1) Layout lines of big data

(2) Marketing positioning of big data

(3) Solution of big data

(4) Value to the user

(5) Revenue and proportion of big data

(6) Analysis of service structure of big data

6.1.7 SAP

(1) Layout progress of big data

(2) Marketing positioning of big data

(3) Solution of big data

(4) Value to the user

(5) Revenue and proportion of big data

(6) Analysis of service structure of big data

6.1.8 EMC

(1) Layout progress of big data

(2) Marketing positioning of big data

(3) Solution of big data

(4) Value to the user

(5) Revenue and proportion of big data

(6) Analysis of service structure of big data

6.1.9 Cisco Systems

(1) Layout progress of big data

(2) Marketing positioning of big data

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