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Investment & Forecast Report on China Big Data Industry During 2019-2023

中国投资咨询网www.ocn.com.cn2018/11/20
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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

  • 图表目录
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Table 1 Types of Big Data
Table 2 Technical Framework of Big Data
Table 3 Most Concerned Ten Policies in Big Data Field Issued by Central Government and Ministries and Commissions in 2016
Table 4 Gross Domestic Product and Growth Rate in 2012-2017
Table 5 Proportion of Valued Added of Three Industries to Gross Domestic Product in 2012-2016
Table 6 Total Industrial Value Added and Growth Rate in 2012-2016
Table 7 Monthly Growth Rate of Industrial Value Added in 2016-2017
Table 8 Total Population of China and Natural Growth Rate in 2011-2016
Table 9 Expenditure of Fund for Research and Development (R&D) of Industrial Enterprise above Designated Scale by Industries in 2015
Table 10 Expenditure of Fund for Research and Development (R&D) in Regions in 2015
Table 11 Fiscal Expenditure on Science and Technology in 2015
Table 12 Key Technologies to Big Data
Table 13 Attention of Big Data Technologies
Table 14 Trend in Global Big Data Storage Scale in 2011-2015
Table 15 Structure and Prediction of Global Big Data Industry in 2016-2027
Table 16 Competition Pattern and Prediction of Global Big Data in 2014-2020
Table 17 Trend in Scale of Japanese Big Data Market in 2014-2020
Table 18 Chinese Big Data Market Development Stages
Table 19 Industrial Distribution of Investigation Sample Enterprises
Table 20 Application Scenarios of Big Data in Internet Industry
Table 21 Application Scenarios of Big Data in Telecom Industry
Table 22 Application Scenarios of Big Data in Financial Industry
Table 23 Application Scenarios of Big Data in Manufacturing Industry
Table 24 Existing Data Scale of Enterprises
Table 25 Composition of Enterprise Data Type
Table 26 Variation of Data Sensible to Enterprise in Big Data Era
Table 27 Problems for Enterprises in Processing of Big Data at Present
Table 28 Attitude and Perception of Enterprises to Big Data
Table 29 Factors To Be Considered by Enterprises When Selecting Big Data Platform
Table 30 Position of Precision Marketing in Big Data System of Enterprise
Table 31 Schematic Diagram for Big Data Industry Chain
Table 32 Panoramic View of Big Data Industry
Table 33 Accelerating Establishment of Big Data Transaction Platforms All Over Country in 2015
Table 34 Current Four Major Profitmaking Modes of Big Data Industry
Table 35 Big Data Industry China of Medical Industry
Table 36 Application of Big Data in Securities Industry
Table 37 Application of Big Data in Insurance Industry
Table 38 Financial Big Data Industry Chain
Table 39 Offline Retail Big Data Industry Chain
Table 40 Offline Retail Big Data Industry Chain
Table 41 Analysis and Application Stages of Big Data in Retail Industry
Table 42 Main Big Data Projects Implemented by Chinese Retail Enterprises
Table 43 Self-Assessment by Retail Enterprises on Overall Performance of Big Data Analysis
Table 44 Development History of Telecom Big Data
Table 45 Telecom Big Data Industry Chain
Table 46 Application of Telecom Operator Big Data
Table 47 Offline Tourism Big Data Industry Chain
Table 48 Online Tourism Big Data Industry Chain
Table 49 Application Analysis of Big Data in Development of Real Estate
Table 50 Accurate Marketing Process of Real Estate Enterprises
Table 51 Application Analysis of Big Data in Real Estate Marketing
Table 52 Consolidated Income Statement of IBM in 2015-2016
Table 53 Information on Branches of IBM in 2015-2016
Table 54 Consolidated Income Statement of IBM in 2016-2017
Table 55 Information on Branches of IBM in 2016-2017
Table 56 Information on Revenue of IBM by Regions in 2016-2017
Table 57 Consolidated Income Statement of oracle in Fiscal Year 2015-2016
Table 58 Information on Revenue of Oracle by Regions in Fiscal Year 2015-2016
Table 59 Consolidated Income Statement of Oracle in Fiscal Year 2016-2017
Table 60 Consolidated Income Statement of Microsoft in Fiscal Year 2015-2016
Table 61 Information on Revenue of Microsoft by Businesses in Fiscal Year 2015-2016
Table 62 Information on Revenue of Microsoft by Regions in Fiscal Year 2015-2016
Table 63 Consolidated Income Statement of Microsoft in Fiscal Year 2016-2017
Table 64 Information of Microsoft by Businesses in Fiscal Year 2016-2017
Table 65 Consolidated Income Statement of SAP in 2015-2016
Table 66 Information on Revenue of SAP by Regions in 2015-2016
Table 67 Consolidated Income Statement of SAP in 2016-2017
Table 68 Information on Revenue of SAP by Regions in 2016-2017
Table 69 Google’s Incremental Processing Index System Based on Percolator
Table 70 Consolidated Income Statement of China Mobile in 2015-2016
Table 71 Information on Revenue of China Mobile by Regions in 2015-2016
Table 72 Financial Data of China Mobile in 2016-2017
Table 73 Revenue Business Data of China Mobile in 2016-2017
Table 74 Consolidated Income Statement of China Telecom in 2015-2016
Table 75 Information on Revenue of China Telecom by Regions in 2015-2016
Table 76 Financial Data of China Telecom in 2016-2017
Table 77 Business Data of China Telecom in 2016-2017
Table 78 Total Assets and Net Assets of China United Network Communications Limited in 2016-2018
Table 79 Operating Revenue and Net Profit of China United Network Communications Limited in 2015-2016
Table 80 Operating Revenue and Net Profit of China United Network Communications Limited in 2017
Table 81 Main Operating Revenue of China United Network Communications Limited by Industries, Products, and Regions in 2016
Table 82 Growth Rate of China United Network Communications Limited in 2015-2016
Table 83 Growth Ability of China United Network Communications Limited in 2017
Table 84 Short-Term Debt Paying Ability of China United Network Communications Limited in 2015-2016
Table 85 Short-Term Debt Paying Ability of China United Network Communications Limited in 2017
Table 86 Operation Ability of China United Network Communications Limited in 2015-2016
Table 87 Operation Ability of China United Network Communications Limited in 2017
Table 88 Profitability of China United Network Communications Limited in 2015-2016
Table 89 Profitability of China United Network Communications Limited in 2017
Table 90 Consolidated Income Statement of Baidu in 2015-2016
Table 91 Information on Revenue of Baidu by Businesses in 2015-2016
Table 92 Consolidated Income Statement of Baidu in 2016-2017
Table 93 Baidu Big Data + Platform
Table 94 Consolidated Income Statement of Tencent in 2015-2016
Table 95 Information on Revenue of Tencent by Businesses in 2015-2016
Table 96 Information on Revenue of Tencent by Regions in 2015-2016
Table 97 Consolidated Income Statement of Tencent in 2016-2017
Table 98 Core Modules of Tencent Big Data Platform
Table 99 Total Assets and Net Assets of Beijing TRS Information Technology Co., Ltd in 2016-2018
Table 100 Operating Revenue and Net Profit of Beijing TRS Information Technology Co., Ltd in 2015-2016
Table 101 Operating Revenue and Net Profit of Beijing TRS Information Technology Co., Ltd in 2017
Table 102 Main Operating Revenue of Beijing TRS Information Technology Co., Ltd by Businesses, Products, and Regions in 2016
Table 103 Growth Ability of Beijing TRS Information Technology Co., Ltd in 2015-2016
Table 104 Growth Ability of Beijing TRS Information Technology Co., Ltd in 2017
Table 105 Short-Term Debt Paying Ability of Beijing TRS Information Technology Co., Ltd in 2015-2016
Table 106 Short-Term Debt paying Ability of Beijing TRS Information Technology Co., Ltd in 2017
Table 107 Operation Ability of Beijing TRS Information Technology Co., Ltd in 2015-2016
Table 108 Operation Ability of Beijing TRS Information Technology Co., Ltd in 2017
Table 109 Profitability of Beijing TRS Information Technology Co., Ltd in 2015-2016
Table 110 Profitability of Beijing TRS Information Technology Co., Ltd in 2017
Table 111 Total Assets and Net Assets of BONC in 2016-2018
Table 112 Operating Revenue and Net Profit of Business-intelligence of Oriental Nations Corporation Ltd in 2015-2016
Table 113 Operating Revenue and Net Profit of Business-intelligence of Oriental Nations Corporation Ltd in 2017
Table 114 Main Operating Revenue of Business-intelligence of Oriental Nations Corporation Ltd by Businesses, Products, and Regions in 2016
Table 115 Growth Ability of Business-intelligence of Oriental Nations Corporation Ltd in 2015-2016
Table 116 Growth Ability of Business-intelligence of Oriental Nations Corporation Ltd in 2017
Table 117 Short-Term Debt Paying Ability of Business-intelligence of Oriental Nations Corporation Ltd in 2015-2016
Table 118 Short-Term Debt Paying Ability of Business-intelligence of Oriental Nations Corporation Ltd in 2017
Table 119 Operating Ability of Business-intelligence of Oriental Nations Corporation Ltd in 2015-2016
Table 120 Operating Ability of Business-intelligence of Oriental Nations Corporation Ltd in 2017
Table 121 Profitability of Business-intelligence of Oriental Nations Corporation Ltd in 2015-2016
Table 122 Profitability of Business-intelligence of Oriental Nations Corporation Ltd in 2017
Table 123 Total Assets and Net Assets of Beijing Toyou Feiji Electronics Co., Ltd in 2016-2018
Table 124 Operating Revenue and Net Profit of Beijing Toyou Feiji Electronics Co., Ltd in 2015-2016
Table 125 Operating Revenue and Net Profit of Beijing Toyou Feiji Electronics Co., Ltd in 2017
Table 126 Main Operating Revenue of Beijing Toyou Feiji Electronics Co., Ltd by Businesses, Products, and Regions in 2016
Table 127 Growth Ability of Beijing Toyou Feiji Electronics Co., Ltd in 2015-2016
Table 128 Growth Ability of Beijing Toyou Feiji Electronics Co., Ltd in 2017
Table 129 Short-Term Debt Paying Ability of Beijing Toyou Feiji Electronics Co., Ltd in 2015-2016
Table 130 Short-Term Debt Paying Ability of Beijing Toyou Feiji Electronics Co., Ltd in 2017
Table 131 Operating Ability of Beijing Toyou Feiji Electronics Co., Ltd in 2015-2016
Table 132 Operating Ability of Beijing Toyou Feiji Electronics Co., Ltd in 2017
Table 133 Profitability of Beijing Toyou Feiji Electronics Co., Ltd in 2015-2016
Table 134 Profitability of Beijing Toyou Feiji Electronics Co., Ltd in 2017
Table 135 Statistical Table of Financing of Big Data Companies
Table 136 Main Fields of Financing for Big Data Enterprises in 2015
Table 137 Financing of Big Data Venture Enterprises in 2015
Table 138 Monthly Distribution of Big Data Financing in 2015
Table 139 Financing Rounds of Big Data in 2015
Table 140 Assessment on Application of Big Data in Various Industries in USA Made by McKinsey Global Institute
Table 141 Market Size of Global Big Data Industry in 2014-2020
Table 142 Prediction of Application Scale of Chinese Big Data Market at Level of Enterprise in 2014-2020
Table 143 Evolvement Direction of Big Data Technologies at All Levels
Table 144 Research & Development and Industrialization Engineering of Key Technologies and Products of Big Data
Table 145 Big Data Service Ability Enhancement Engineering
Table 146 Industrial Big Data Innovative Development Engineering
Table 147 Cross-Industry Big Data Application Promotion Engineering
Table 148 Big Data Industry Agglomeration Area Creation Engineering
Table 149 Key Big Data Standard Development and Application Demonstration Engineering
Table 150 Big Data Public Service System Construction Engineering
Table 151 Big Data Safety Assurance Engineering
Table 152 China Investment Consulting (CIC)’s Prediction of Global Big Data Market Scale in 2019-2023
Table 153 China Investment Consulting (CIC)’s Prediction of Chinese Big Data Market Scale in 2019-2023
Table 154 China Investment Consulting (CIC)’s Prediction of Chinese Mobile Internet Market Scale in 2019-2023

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