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Chapter I: Overview of Big Data Industry
1.1: Introduction to big data
1.1.1: Definition of big data
1.1.2: Type of big data
1.1.3: Characteristics of big data
1.1.4: Links of big data
1.2: Value and influence of big data
1.2.1: Significant of big data research
1.2.2: Application value of big data
1.3: Profile of big data industry
1.3.1: Concept of big data industry
1.3.2: Strategic position of big data industry
Chapter II: Analysis of Development Environment of Big Data Industry
2.1: Political environment
2.1.1: Big data becoming national development strategy
2.1.2: Government further opening up data platform
2.1.3: Industrial policies introduced intensively
2.1.4: Continuous introduction of local policies
2.1.5: Initial formation of management mechanism
2.2: Economic environment
2.2.1: Operation scale of Chinese economy
2.2.2: Analysis of industrial operation
2.2.3: Prediction of economic development of China
2.3: Social environment
2.3.1: Analysis of population environment
2.3.2: Investment in science and technology
2.3.3: Process of urbanization development
2.4: Technological environment
2.4.1: Introduction to key technologies of big data
2.4.2: Key technologies in field of big data
2.4.3: Hotspots in research and development of big data technologies
Chapter III: Development Analysis of International Big Data Industry in 2016-2018
3.1: Overall development analysis of global big data industry in 2016-2018
3.1.1: Industrial development scale
3.1.2: Structure of market segments
3.1.3: Market competition pattern
3.2: Development analysis of big data industry in key countries and regions in 2016-2018
3.2.1: European Union
3.2.2: USA
3.2.3: Japan
3.2.4: UK
3.2.5: Korea
Chapter IV: Development Analysis of Chinese Big Data Industry in 2016-2018
4.1: Review on development of Chinese big data industry in 2016-2018
4.1.1: Market development stages
4.1.2: Operation of industry
4.1.3: Acceleration of industrial development
4.1.4: Establishment of trade center
4.2: Layout of Chinese big data industry in 2016-2018
4.2.1: Structure of market supply
4.2.2: Distribution of application industries
4.2.3: Regional cluster development
4.3: Demand analysis of Chinese big data industry in 2016-2018
4.3.1: Demand of main industries for big data
4.3.2: Application and demand of big data of enterprises
4.3.3: Analysis of demand in segmentations of big data
4.3.4: Analysis of demand in field of big data storage
4.4: Problems in Chinese big data industry and analysis of development countermeasures
4.4.1: Challenges for application of big data
4.4.2: Taking as national strategic emphasis
4.4.3: Improving development level of software product
4.4.4: Accelerating the demonstration application of big data
4.4.5: Optimizing and improving big data development environment
Chapter V: Development Pattern and Development Mode of Big Data Industry in 2016-2018
5.1: Competition pattern of big data industry in 2016-2018
5.1.1: Data resource enterprises
5.1.2: Technology-owned enterprises
5.1.3: Application service enterprises
5.2: Development of Chinese big data industry in key regions in 2016-2018
5.2.1: Guizhou Province
5.2.2: Guangdong Province
5.2.3: Jiangsu Province
5.2.4: Hubei Province
5.2.5: Qinghai Province
5.3: Analysis of big data industry chain and market entity in 2016-2018
5.3.1: Analysis of big data industry chain
5.3.2: Levels of big data industry
5.3.3: Main sub-industries of big data
5.4: Analysis of big data transaction market in 2016-2018
5.4.1: Industry chain of big data transaction
5.4.2: Size of big data transaction market
5.4.3: Development of big data transaction market
5.4.4: Development analysis of big data transaction platform
5.5: Profitmaking modes of big data industry in 2016-2018
5.5.2: Solutions
5.5.3: Infrastructures
5.5.4: Data products
5.5.5: Industrial application
5.6: Commercial modes for big data business in 2016-2018
5.6.1: Data rental and sales mode
5.6.2: Information rental and sales mode
5.6.3: Digital media mode
5.6.4: Data enable mode
5.6.5: Data space rental mode
5.6.6: Big data technology provider mode
Chapter VI: Analysis of Main Equipment Market in Chinese Big Data Industry in 2016-2018
6.1: Analysis of big data appliance
6.1.1: Introduction to big data appliance
6.1.2: User types of big data appliance
6.1.3: Analysis of competitive advantages and disadvantages of domestic enterprises
6.2: Analysis of big data processing and analysis software market
6.2.1: Application value of business intelligence software
6.2.2: Size of global business analysis software market
6.2.3: Downstream application markets of business intelligence software
Chapter VII: Analysis of Big Data Application in Key Industries
7.1: Medical industry
7.1.1: Application scenarios of big data in medical industry
7.1.2: Analysis of medical big data industry chain
7.1.3: Main participants in medical big data
7.1.4: Constraints on application of medical industry big data
7.1.5: Development trend of big data in medical field
7.2: Financial industry
7.2.1: Application fields of big data in financial industry
7.2.2: Analysis of financial big data industry chain
7.2.3: Current situation of characteristics of big data in financial industry
7.2.4: Challenges arising from big data and countermeasures
7.3: E-commerce
7.3.1: Impact of big data processing on E-commerce
7.3.2: Specific application of big data in E-commerce
7.3.3: Data analysis improving performance of e-commerce enterprises
7.3.4: Development opportunity of e-commerce big data
7.4: Retail industry
7.4.1: Application value of big data in retail industry
7.4.2: Analysis retail big data industry chain
7.4.3: Demand for application of big data in retail industry
7.4.4: Current situation of application of big data in retail industry
7.5: Telecom industry
7.5.1: Development history of telecom big data
7.5.2: Analysis of telecom big data industry chain
7.5.3: Demand for application of big data in telecom industry
7.5.4: Application of big data in telecom industry
7.6: Transport industry
7.6.1: Demand for application of big data in transport industry
7.6.2: Establishment of national-level transport big data laboratory
7.6.3: Problems in application of big data in transport industry and countermeasures
7.6.4: Development prospects for application of big data in transport industry
7.7: Tourism industry
7.7.1: Application value of tourism big data
7.7.2: Analysis of tourism big data industry chain
7.7.3: Policy support strength to tourism big data
7.7.4: Positive application of big data by tourism enterprises
7.8: Governmental public service
7.8.1: Application value of big data in governmental public service
7.8.2: Application of big data in the field of e-government affairs
7.8.3: Demand for opening of government information in era of big data
7.9: Other industries
7.9.1: Power industry
7.9.2: Real estate industry
Chapter VIII: Development Situation of Key Enterprises in Foreign Big Data Industry in 2016-2018
8.1: IBM
8.1.1: Development overview of enterprise
8.1.2: Operation status of enterprise
8.1.3: Trend in project investment
8.1.4: Trend in project cooperation
8.2: Oracle
8.2.1: Overview of enterprise development
8.2.2: Operating conditions of enterprise
8.2.3: Content of big data service
8.2.4: Big data strategy of enterprise
8.3: Microsoft
8.3.1: Overview of enterprise development
8.3.2: Operating conditions of enterprise
8.3.3: Promoting construction of data center
8.4: SAP
8.4.1: Overview of enterprise development
8.4.2: Operating conditions of enterprise
8.4.3: Big data solutions
8.4.4: New version of digital solutions
8.5: Other enterprises
8.5.1: Teradata
8.5.2: NetApp
8.5.3: Amazon
8.5.4: Google
Chapter IX: Development Situation of Key Enterprises in Domestic Big Data Industry in 2016-2018
9.1: China Mobile Communications Corporation
9.1.1: Overview of enterprise development
9.1.2: Operating conditions of enterprise in 2016
9.1.3: Operating conditions of enterprise in 2017
9.1.4: Application of big data by enterprise
9.2: China Telecom Corporation
9.2.1: Overview of enterprise development
9.2.2: Operating conditions of enterprise in 2016
9.2.3: Operating conditions of enterprise in 2017
9.2.4: Layout of big data industry
9.3: China Unicom Corporation
9.3.1: Overview of enterprise development
9.3.2: Analysis of operational benefits
9.3.3: Analysis of business operation
9.3.4: Analysis of financial conditions
9.3.5: Development of big data
9.4: Baidu Corporation
9.4.1: Overview of enterprise development
9.4.2: Operating conditions of enterprise
9.4.3: Big data solutions
9.4.4: Baidu big data engine
9.5: Tencent Company
9.5.1: Overview of enterprise development
9.5.2: Operating conditions of enterprise
9.5.3: Tencent big data platform
9.5.4: Layout of big data applications
9.6: Beijing TRS Information Technology Co., Ltd.
9.6.1: Overview of enterprise development
9.6.2: Analysis of operational benefits
9.6.3: Analysis of business operation
9.6.4: Analysis of financial conditions
9.6.5: Big data business
9.7: Business-intelligence of Oriental Nations Corporation Ltd.
9.7.1: Overview of enterprise development
9.7.2: Analysis of operational benefits
9.7.3: Analysis of business operation
9.7.4: Analysis of financial conditions
9.8: Beijing Toyou Feiji Electronics Co., Ltd.
9.8.1: Overview of enterprise development
9.8.2: Analysis of operational benefits
9.8.3: Analysis of business operation
9.8.4: Analysis of financial conditions
9.9: Inspur Group
9.9.1: Overview of enterprise development
9.9.2: Comprehensive strength of enterprise
9.9.3: Big data layout of enterprise
9.9.4: Acceleration of regional cooperation
Chapter X: Analysis of Investment Strategy of Big Data Industry
10.1: Investment in global big data industry
10.1.1: Accelerated investment and construction of data center
10.1.2: Continuous expansion of big data financing scale
10.2: Analysis of investment and financing in Chinese big data industry
10.2.1: Analysis of financing of big data enterprises
10.2.2: Financing trend of domestic big data enterprises
10.3: Investment opportunities of big data industry
10.3.1: Investment opportunities of big data industry
10.3.2: Investment hotspots in big data industry
10.3.3: Potential markets of big data application industry
10.4: Investment risk and prevention in big data industry
10.4.1: Overview of investment risk in big data industry
10.4.2: Liquidity and availability risk in data
10.4.3: Sharp increase of investment risk in big data projects
Chapter XI: Development Prospect and Trend of Big Data Industry
11.1: Prediction of development prospect and trend of global big data industry
11.1.1: Prediction of global big data market size
11.1.2: Prediction of global big data income scale
11.1.3: Prediction of income from global big data analysis scheme
11.1.4: Prospect for development hotspots of global big data market
11.2: Prediction of development prospect and trend in Chinse big data industry
11.2.1: Development trend in big data market
11.2.2: Prediction of hot spots in big data market
11.2.3: Development trend in application market
11.2.4: Analysis of technical development direction
11.3: Development planning for big data industry (2016-2020)
11.3.1: Development situation
11.3.2: Development objectives
11.3.3: Key tasks
11.4: China Investment Consulting (CIC)’s prediction and analysis of Chinese big data industry in 2019-2023
11.4.1: China Investment Consulting (CIC)’s prediction of global big data market scale in 2019-2023
11.4.2: China Investment Consulting (CIC)’s prediction of Chinese big data market scale in 2019-2023
11.4.3: China Investment Consulting (CIC)’s prediction of Chinese mobile Internet market scale in 2019-2023
After the Internet of Things and the Cloud Computing, the big data has become one of the concepts attracting the most attentions in the industrial information industry at present. The big data is the new generation of the architecture and technology designed to acquire the value in a more economical way from the data, which shall be obtained from the high frequency and in the large capacity and different structures and types.
Just in 2011, the data storage capacity in the whole world reached 1.8ZB (or 1.8 trillion GB), equivalent to writing the Twitter messages for 26, 976 years in total at the rate of 3 Twitter messages per minute by each American. In 2015, the storage capacity of the big data in the whole world reached 8.61ZB. In the next decade, the total number of the servers used to store data in the world will increase tenfold. The big data is becoming a frontier for national competition, as well as a source of the source of industrial competitiveness and the innovation in business models.
In 2015, the market scale of big data in China reached 10.55 billion Yuan, up 39.4% compared to the same period of last year. In the investment structure for the big data market industry in China in 2015, finance, communication, and retail ranked the top three places with the investment accounting for 16.7%, 15.9%, and 14.0% respectively. The government, healthcare, and tourism investment accounts for 13.5%, 10.3%, and 3.8% respectively. Such six major industries amount to 74.2% in total. The other industries, including education, manufacturing, energy, media, and Internet, amount to 25.8% in total. In 2016, the market scale of the big data in China reached 16.8 billion Yuan. It is estimated that the growth rate higher than 30% will be maintained in 2017-2020.
In August 2015, “Notice of the State Council on Issuance of Action Outline to Promote Development of Big Data” was promulgated to define the guiding ideology, development objective, and development task for the big data development, marking that the big data has become the important strategic resource, so that the big data development will fully enjoy the policy dividend.
On January 17, 2017, the Ministry of Industry and Information Technology officially promulgated the “Development Planning for Big Data Industry (2016-2020)” (Ministry Industry and Information Planning No.412 [2016], hereinafter referred to as the “Planning”). This “Planning” defines the development ideas, principles, and objectives of the big data industry within the “13th Five-Year Plan” period, so as to guide the sustainable and healthy development of the big data industry, and give powerful support to the construction of the manufacturing power and cyber power.
The “Investment & Forecast Report on China Big Data Industry During 2019-2023” published by China Investment Consulting (CIC) has eleven chapters. First, the introduction is given to the definition, characteristic, and status of the big data and the big data industry; and the analysis is made on the development background and influence factors of the big data; Then the emphasis is laid on the analysis of the development of the big data industry at home and abroad as well as the industrial structure, and the detailed and transparent analysis is made on the application of the big data in the main equipment market and the key industries. Subsequently, this Report analyzes the development situation of the key enterprises in the big data industry at home and abroad in details; Finally, the importance is attached to the analysis on the investment in the big data industry, and the scientific prediction is made on the development prospect of the big data industry in the future.
Sourced from the National Bureau of Statistics, CIC Industrial Research Center, CIC Market Investigation Center, as well as the major journals, and other channels at home and abroad, the data in this research report is authoritative, detailed, and abundant; at the same time, the professional analysis prediction models are used to make the scientific prediction of the industrial core development indicators. If you or your organization would like to get a systematic and profound understanding of the big data industry or intend to make investment in the big data industry, this report is an important reference tool absolutely necessary to you.
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