Genius is one per cent inspiration, ninety-nine per cent perspiration. Your position:Home->Internet Industry reports for sale-> 2006 China Internet Industry Survey Report I.Research Background II. Research Method 1 Research Method 2 Industry Survey 3 Research Object III. Character of Survey Sample 1 General Introduction of sample character 1.1 Sample ages Classified Method 1.2 Sample educations Classified Method 1.3 Sample incomes Classified Method 1.4 Sample distrbution Classified Method 2 Sample distrbution by ages 3 Sample distrbution by educations 4 Sample distrbution by industries 5 Sample distrbution by company positions 6 Sample distrbution by incomes 7 Sample distrbution by internet comsuptions 8 Sample distrbution by mobile payments 9 Sample distrbution by wireless value-added services 10 Sample distrbution by areas IV General Status 1 Degree of Industry Concentration of 50 areas in China Internet industry 2 Arrival rates of Netizens of 50 areas in China Internet industry 3 Arrival sizes of Netizens of 50 areas in China Internet industry V Body of Report 1 Portal 1.1 Market data 1.1.1 Degree of Industry Concentration 1.1.2 Arrival rate of Netizens 1.1.3 Arrival size of Netizens 1.2 Data analysis & data mining 1.3 Market situation & trends 1.3.1 Market size 1.3.2 Situation 1.3.3 Trends 1.4 Question & keypoints 1.4.1 Questions and Problems 1.4.2 Development keypoints 1.5 Case analysis 1.5.1 TOP Case 1.5.2 INNOVATOR Case 2 Search Engines 2.1 Market data 2.1.1 Degree of Industry Concentration 2.1.2 Arrival rate of Netizens 2.1.3 Arrival size of Netizens 2.2 Data analysis & data mining 2.3 Market situation & trends 2.3.1 Market size 2.3.2 Situation 2.3.3 Trends 2.4 Question & keypoints 1.4.1 Questions and Problems 1.4.2 Development keypoints 2.5 Case analysis 2.5.1 TOP Case 2.5.2 INNOVATOR Case 3 Instant Messengers 3.1 Market data 3.1.1 Degree of Industry Concentration 3.1.2 Arrival rate of Netizens 3.1.3 Arrival size of Netizens 3.2 Data analysis & data mining 3.3 Market situation & trends 3.3.1 Market size 3.3.2 Situation 3.3.3 Trends 3.4 Question & keypoints 3.4.1 Questions and Problems 3.4.2 Development keypoints 3.5 Case analysis 3.5.1 TOP Case 3.5.2 INNOVATOR Case 4 Email Services 4.1Market data 4.1.1 Degree of Industry Concentration 4.1.2 Arrival rate of Netizens 4.1.3 Arrival size of Netizens 4.2 Data dnalysis & data mining 4.3 Market situation & trends 4.3.1 Market size 4.3.2 Situation 4.3.3 Trends 4.4 Question & keypoints 4.4.1 Questions and Problems 4.4.2 Development keypoints 4.5 Case analysis 4.5.1 TOP Case 4.5.2 INNOVATOR Case 5 Online News Websites 5.1 Market data 5.1.1 Degree of Industry Concentration 5.1.2 Arrival rate of Netizens 5.1.3 Arrival size of Netizens 5.2 Data analysis & data mining 5.3 Market situation & trends 5.3.1 Market size 5.3.2 Situation 5.3.3 Trends 5.4 Question & keypoints 5.4.1 Questions and Problems 5.4.2 Development keypoints 5.5 Case analysis 5.5.1 TOP Case 5.5.2 INNOVATOR Case 6 Localization Comprehensive Information Websites 6.1 Market data 6.1.1 Degree of Industry Concentration 6.1.2 Arrival rate of Netizens 6.1.3 Arrival size of Netizens 6.2 Data analysis & data mining 6.3 Market situation & trends 6.3.1 Market size 6.3.2 Situation 6.3.3 Trends 6.4 Question & keypoints 6.4.1 Questions and Problems 6.4.2 Development keypoints 6.5 Case analysis 6.5.1 TOP Case 6.5.2 INNOVATOR Case 7 Finance Websites 7.1 Market data 7.1.1 Degree of Industry Concentration 7.1.2 Arrival rate of Netizens 7.1.3 Arrival size of Netizens 7.2 Data analysis & data mining 7.3 Market situation & trends 7.3.1 Market size 7.3.2 Situation 7.3.3 Trends 7.4 Question & keypoints 7.4.1 Questions and Problems 7.4.2 Development keypoints 7.5 Case analysis 7.5.1 TOP Case 7.5.2 INNOVATOR Case 8 Auto Websites 8.1 Market data 8.1.1 Degree of Industry Concentration 8.1.2 Arrival rate of Netizens 8.1.3 Arrival size of Netizens 8.2 Data analysis & data mining 8.3 Market situation & trends 8.3.1 Market size 8.3.2 Situation 8.3.3 Trends 8.4 Question & keypoints 8.4.1 Questions and Problems 8.4.2 Development keypoints 8.5 Case snalysis 8.5.1 TOP Case 8.5.2 INNOVATOR Case 9 Real estate websites 9.1 Market data 9.1.1 Degree of Industry Concentration 9.1.2 Arrival rate of Netizens 9.1.3 Arrival size of Netizens 9.2 Data analysis & data mining 9.3 Market situation & trends 9.3.1 Market size 9.3.2 Situation 9.3.3 Trends 9.4 Question & keypoints 9.4.1 Questions and Problems 9.4.2 Development keypoints 9.5 Case analysis 9.5.1 TOP Case 9.5.2 INNOVATOR Case 10 Online Traveling Reservations Websites 10.1 Market data 10.1.1 Degree of Industry Concentration 10.1.2 Arrival rate of Netizens 10.1.3 Arrival size of Netizens 10.2 Data analysis & data mining 10.3 Market situation & trends 10.3.1 Market size 10.3.2 Situation 10.3.3 Trends 10.4 Question & keypoints 10.4.1 Questions and Problems 10.4.2 Development keypoints 10.5 Case analysis 10.5.1 TOP Case 10.5.2 INNOVATOR Case 11 Information Technology Websites 11.1 Market data 11.1.1 Degree of Industry Concentration 11.1.2 Arrival rate of Netizens 11.1.3 Arrival size of Netizens 11.2 Data analysis & data mining 11.3 Market situation & trends 11.3.1 Market size 11.3.2 Situation 11.3.3 Trends 11.4 Question & keypoints 11.4.1 Questions and Problems 11.4.2 Development keypoints 11.5 Case analysis 11.5.1 TOP Case 11.5.2 INNOVATOR Case 12 C2C Electronic Commerce 12.1 Market data 12.1.1 Degree of Industry Concentration 12.1.2 Arrival rate of Netizens 12.1.3 Arrival size of Netizens 12.2 Data analysis &data mining 12.3 Market situation & trends 12.3.1 Market size 12.3.2 Situation 12.3.3 Trends 12.4 Question & keypoints 12.4.1Questions and Problems 12.4.2 Development keypoints 12.5 Case analysis 12.5.1 TOP Case 12.5.2 INNOVATOR Case 13 B2C Electronic Commerce 13.1 Market data 13.1.1 Degree of Industry Concentration 13.1.2 Arrival rate of Netizens 13.1.3 Arrival size of Netizens 13.2 Data analysis & data mining 13.3 Market situation & trends 13.3.1 Market size 13.3.2 Situation 13.3.3 Trends 13.4 Question & keypoints 13.4.1 Questions and Problems 13.4.2 Development keypoints 13.5 Case analysis 13.5.1 TOP Case 13.5.2 INNOVATOR Case 14 B2B Electronic Commerce 14.1 Market data 14.1.1 Degree of Industry Concentration 14.1.2 Arrival rate of Netizens 14.1.3 Arrival size of Netizens 14.2 Data analysis & data mining 14.3 Market situation & trends 14.3.1 Market size 14.3.2 Situation 14.3.3 Trends 14.4 Question & keypoints 14.4.1 Questions and Problems 14.4.2 Development keypoints 14.5 Case analysis 14.5.1 TOP Case 14.5.2 INNOVATOR Case 15 Online Banking 15.1 Market data 15.1.1 Degree of Industry Concentration 15.1.2 Arrival rate of Netizens 15.1.3 Arrival size of Netizens 15.2 Data analysis & data mining 15.3 Market situation & trends 15.3.1 Market size 15.3.2 Situation 15.3.3 Trends 15.4 Question & keypoints 15.4.1 Questions and Problems 15.4.2 Development keypoints 15.5 Case analysis 15.5.1 TOP Case 15.5.2 INNOVATOR Case 16 Electronic Payment 16.1 Market data 16.1.1 Degree of Industry Concentration 16.1.2 Arrival rate of Netizens 16.1.3 Arrival size of Netizens 16.2 Data analysis &data mining 16.3 Market situation & trends 16.3.1 Market size 16.3.2 Situation 16.3.3 Trends 16.4 Question & keypoints 16.4.1 Questions and Problems 16.4.2 Development keypoints 16.5 Case analysis 16.5.1 TOP Case 16.5.2 INNOVATOR Case 17 Online Recruiting 17.1 Market data 17.1.1 Degree of Industry Concentration 17.1.2 Arrival rate of Netizens 17.1.3 Arrival size of Netizens 17.2 Data analysis & data mining 17.3 Market situation & trends 17.3.1 Market size 17.3.2 Situation 17.3.3 Trends 17.4 Question & keypoints 17.4.1 Questions and Problems 17.4.2 Development keypoints 17.5 Case analysis 17.5.1 TOP Case 17.5.2 INNOVATOR Case 18 Social Network 18.1 Market data 18.1.1 Degree of Industry Concentration 18.1.2 Arrival rate of Netizens 18.1.3 Arrival size of Netizens 18.2 Data analysis & data mining 18.3 Market situation & trends 18.3.1 Market size 18.3.2 Situation 18.3.3 Trends 18.4 Question & keypoints 18.4.1 Questions and Problems 18.4.2 Development keypoints 18.5 Case analysis 18.5.1 TOP Case 18.5.2 INNOVATOR Case 19 Online Community 19.1 Market data 19.1.1 Degree of Industry Concentration 19.1.2 Arrival rate of Netizens 19.1.3 Arrival size of Netizens 19.2 Data analysis & data mining 19.3 Market situation & trends 19.3.1 Market size 19.3.2 Situation 19.3.3 Trends 19.4 Question & keypoints 19.4.1 Questions and Problems 19.4.2 Development keypoints 19.5 Case analysis 19.5.1 TOP Case 19.5.2 INNOVATOR Case 20 Online Game Informations Websites 20.1 Market data 20.1.1 Degree of Industry Concentration 20.1.2 Arrival rate of Netizens 20.1.3 Arrival size of Netizens 20.2 Data analysis & data mining 20.3 Market situation & trends 20.3.1 Market size 20.3.2 Situation 20.3.3 Trends 20.4 Question & keypoints 20.4.1 Questions and Problems 20.4.2 Development keypoints 20.5 Case analysis 20.5.1 TOP Case 20.5.2 INNOVATOR Case 21 Online Game Operators 21.1 Market data 21.1.1 Degree of Industry Concentration 21.1.2 Arrival rate of Netizens 21.1.3 Arrival size of Netizens 21.2 Data analysis & data mining 21.3 Market situation & trends 21.3.1 Market size 21.3.2 Situation 21.3.3 Trends 21.4 Question & keypoints 21.4.1 Questions and Problems 21.4.2 Development keypoints 21.5 Case analysis 21.5.1 TOP Case 21.5.2 INNOVATOR Case 22 Online Cartoons 22.1 Market data 22.1.1 Degree of Industry Concentration 22.1.2 Arrival rate of Netizens 22.1.3 Arrival size of Netizens 22.2 Data analysis & data mining 22.3 Market situation & trends 22.3.1 Market size 22.3.2 Situation 22.3.3 Trends 22.4 Question & keypoints 22.4.1 Questions and Problems 22.4.2 Development keypoints 22.5 Case analysis 22.5.1 TOP Case 22.5.2 INNOVATOR Case 23 Online Music 23.1 Market data 23.1.1 Degree of Industry Concentration 23.1.2 Arrival rate of Netizens 23.1.3 Arrival size of Netizens 23.2 Data analysis & data mining 23.3 Market situation & trends 23.3.1 Market size 23.3.2 Situation 23.3.3 Trends 23.4 Question & keypoints 23.4.1 Questions and Problems 23.4.2 Development keypoints 23.5 Case analysis 23.5.1 TOP Case 23.5.2 INNOVATOR Case 24 Music Search Engines 24.1 Market data 24.1.1 Degree of Industry Concentration 24.1.2 Arrival rate of Netizens 24.1.3 Arrival size of Netizens 24.2 Data analysis & data mining 24.3 Market situation & trends 24.3.1 Market size 24.3.2 Situation 24.3.3 Trends 24.4 Question & keypoints 24.4.1 Questions and Problems 24.4.2 Development keypoints 24.5 Case analysis 24. 5.1 TOP Case 24.5.2 INNOVATOR Case 25 Online Movies 25.1 Market data 25.1.1 Degree of Industry Concentration 25.1.2 Arrival rate of Netizens 25.1.3 Arrival size of Netizens 25.2 Data analysis & data mining 25.3 Market situation & trends 25.3.1 Market size 25.3.2 Situation 25.3.3 Trends 25.4 Question & keypoints 25.4.1Questions and Problems 25.4.2 Development keypoints 25.5 Case analysis 25.5.1 TOP Case 25.5.2 INNOVATOR Case 26 Online Women Websites 26.1 Market data 26.1.1 Degree of Industry Concentration 26.1.2 Arrival rate of Netizens 26.1.3 Arrival size of Netizens 26.2 Data analysis & data mining 26.3 Market situation & trends 26.3.1 Market size 26.3.2 Situation 26.3.3 Trends 26.4 Question & keypoints 26.4.1 Questions and Problems 26.4.2 Development keypoints 26.5 Case analysis 26.5.1 TOP Case 26.5.2 INNOVATOR Case 27 Online Health Websites 27.1 Market data 27.1.1 Degree of Industry Concentration 27.1.2 Arrival rate of Netizens 27.1.3 Arrival size of Netizens 27.2 Data analysis & data mining 27.3 Market situation & trends 27.3.1 Market size 27.3.2 Situation 27.3.3 Trends 27.4 Question & keypoints 27.4.1 Questions and Problems 27.4.2 Development keypoints 27.5 Case analysis 27.5.1 TOP Case 27.5.2 INNOVATOR Case 28 Online Education 28.1 Market data 28.1.1 Degree of Industry Concentration 28.1.2 Arrival rate of Netizens 28.1.3 Arrival size of Netizens 28.2 Data analysis & data mining 28.3 Market situation & trends 28.3.1 Market size 28.3.2 Situation 28.3.3 Trends 28.4 Question & keypoints 28.4.1 Questions and Problems 28.4.2 Development keypoints 28.5 Case analysis 28.5.1 TOP Case 28.5.2 INNOVATOR Case 29 Online Entertaiment 29. 1 Market data 29.1.1 Degree of Industry Concentration 29.1.2 Arrival rate of Netizens 29.1.3 Arrival size of Netizens 29.2 Data analysis & data mining 29.3 Market situation & trends 29.3.1 Market size 29.3.2 Situation 29.3.3 Trends 29.4 Qquestion & keypoints 29.4.1 Questions and Problems 29.4.2 Development keypoints 29.5 Case analysis 29.5.1 TOP Case 29.5.2 INNOVATOR Case 30 Online Sports Websites 30.1 Market data 30.1.1 Degree of Industry Concentration 30.1.2 Arrival rate of Netizens 30.1.3 Arrival size of Netizens 30.2 Data analysis & data mining 30.3 Market situation & trends 30.3.1 Market size 30.3.2 Situation 30.3.3 Trends 30.4 Question & keypoints 30.4.1 Questions and Problems 30.4.2 Development keypoints 30.5 Case analysis 30.5.1 TOP Case 30.5.2 INNOVATOR Case 31 Online Literature Websites 31.1 Market data 31.1.1 Degree of Industry Concentration 31.1.2 Arrival rate of Netizens 31.1.3 Arrival size of Netizens 31.2 Data analysis & data mining 31.3 Market situation & trends 31.3.1 Market size 31.3.2 Situation 31.3.3 Trends 31.4 Question & keypoints 31.4.1 Questions and Problems 31.4.2 Development keypoints 31.5 Case analysis 31.5.1 TOP Case 31.45.2 INNOVATOR Case 32 Online Art Designs 32.1Market data 32.1.1 Degree of Industry Concentration 32.1.2 Arrival rate of Netizens 32.1.3 Arrival size of Netizens 32.2 Data analysis & data mining 32.3 Market situation & trends 32.3.1 Market size 32.3.2 Situation 32.3.3 Trends 32.4 Question & keypoints 32.4.1 Questions and Problems 32.4.2 Development keypoints 32.5 Case analysis 32.5.1 TOP Case 32.5.2 INNOVATOR Case 33 Website Navigation 33.1 Market data 33.1.1 Degree of Industry Concentration 33.1.2 Arrival rate of Netizens 33.1.3 Arrival size of Netizens 33.2 Data analysis & data mining 33.3 Market situation & trends 33.3.1 Market size 33.3.2 Situation 33.3.3 Trends 33.4 Question & keypoints 33.4.1 Questions and Problems 33.4.2 Development keypoints 33.5 Case analysis 33.5.1 TOP Case 33.5.2 INNOVATOR Case 34 Software Downloads Service 34.1 Market data 34.1.1 Degree of Industry Concentration 34.1.2 Arrival rate of Netizens 34.1.3 Arrival size of Netizens 34.2 Data analysis & data mining 34.3 Market situation & trends 34.3.1 Market size 34.3.2 Situation 34.3.3 Trends 34.4 Question & keypoints 34.4.1 Questions and Problems 34.4.2 Development keypoints 34.5 Case analysis 34.5.1 TOP Case 34.5.2 INNOVATOR Case 35 P2P Services 35.1 Market data 35.1.1 Degree of Industry Concentration 35.1.2 Arrival rate of Netizens 35.1.3 Arrival size of Netizens 35.2 Data analysis & data mining 35.3 Market situation & trends 35.3.1 Market size 35.3.2 Situation 35.3.3 Trends 35.4 Question & keypoints 35.4.1 Questions and Problems 35.4.2 Development keypoints 35.5 Case analysis 35.5.1 TOP Case 35.5.2 INNOVATOR Case 36 Online Course Materials 36.1 Market data 36.1.1 Degree of Industry Concentration 36.1.2 Arrival rate of Netizens 36.1.3 Arrival size of Netizens 36.2 Data analysis & data mining 36.3 Market situation & trends 36.3.1 Market size 36.3.2 Situation 36.3.3 Trends 36.4 Question & keypoints 36.4.1 Questions and Problems 36.4.2 Development keypoints 36.5 Case analysis 36.5.1 TOP Case 36.5.2 INNOVATOR Case 37 Online Advertisement Alliances 37.1 Market data 37.1.1 Degree of Industry Concentration 37.1.2 Arrival rate of Netizens 37.1.3 Arrival size of Netizens 37.2 Data analysis & data mining 37.3 Market situation & trends 37.3.1 Market size 37.3.2 Situation 37.3.3 Trends 37.4 Question & keypoints 37.4.1 Questions and Problems 37.4.2 Development keypoints 37.5 Case analysis 37.5.1 TOP Case 37.5.2 INNOVATOR Case 38 Online Yellow Pages 38.1 Market data 38.1.1 Degree of Industry Concentration 38.1.2 Arrival rate of Netizens 38.1.3 Arrival size of Netizens 38.2 Data analysis & data mining 38.3 Market situation & trends 38.3.1 Market size 38.3.2 Situation 38.3.3 Trends 38.4 Question & keypoints 38.4.1 Questions and Problems 38.4.2 Development keypoints 38.5 Case analysis 38.5.1 TOP Case 38.5.2 INNOVATOR Case 39 Online Map Service 39.1 Market data 39.1.1 Degree of Industry Concentration 39.1.2 Arrival rate of Netizens 39.1.3 Arrival size of Netizens 39.2Data analysis & data mining 39.3Market situation & trends 39.3.1 Market size 39.3.2 Situation 39.3.3 Trends 39.4 Question & keypoints 39.4.1 Questions and Problems 39.4.2 Development keypoints 39.5 Case analysis 39.5.1 TOP Case 39.5.2 INNOVATOR Case 40 Blog 40.1 Market data 40.1.1 Degree of Industry Concentration 40.1.2 Arrival rate of Netizens 40.1.3 Arrival size of Netizens 40.2 Data analysis & data mining 40.3 Market situation & trends 40.3.1 Market size 40.3.2 Situation 40.3.3 Trends 40.4 Question & keypoints 40.4.1 Questions and Problems 40.4.2 Development keypoints 40.5 Case analysis 40.5.1 TOP Case 40.5.2 INNOVATOR Case 41 SMS 41.1 Market data 41.1.1 Degree of Industry Concentration 41.1.2 Arrival rate of Netizens 41.1.3 Arrival size of Netizens 41.2 Data analysis & data mining 41.3 Market situation & trends 41.3.1 Market size 41.3.2 Situation 41.3.3 Trends 41.4 Question & keypoints 41.4.1 Questions and Problems 41.4.2 Development keypoints 41.5 Case analysis 41.5.1 TOP Case 41.5.2 INNOVATOR Case 42 MMS 42.1 Market data 42.1.1 Degree of Industry Concentration 42.1.2 Arrival rate of Netizens 42.1.3 Arrival size of Netizens 42.2 Data analysis & data mining 42.3 Market situation & trends 42.3.1 Market size 42.3.2 Situation 42.3.3 Trends 42.4 Question & keypoints 42.4.1 Questions and Problems 42.4.2 Development keypoints 42.5 Case analysis 42.5.1 TOP Case 42.5.2 INNOVATOR Case 43 WAP 43.1 Market data 43.1.1 Degree of Industry Concentration 43.1.2 Arrival rate of Netizens 43.1.3 Arrival size of Netizens 43.2 Data analysis & data mining 43.3 Market situation & trends 43.3.1 Market size 43.3.2 Situation 43.3.3 Trends 43.4 Question & keypoints 43.4.1Questions and Problems 43.4.2 Development keypoints 43.5 Case analysis 43.5.1 TOP Case 43.5.2 INNOVATOR Case 44 CRBT 44.1 Market data 44.1.1 Degree of Industry Concentration 44.1.2 Arrival rate of Netizens 44.1.3 Arrival size of Netizens 44.2 Data analysis & data mining 44.3 Market situation & trends 44.3.1 Market size 44.3.2 Situation 44.3.3 Trends 44.4 Question & keypoints 44.4.1 Questions and Problems 44.4.2 Development keypoints 44.5 Case analysis 44.5.1 TOP Case 44.5.2 INNOVATOR Case 45 IVR 45.1 Market data 45.1.1 Degree of Industry Concentration 45.1.2 Arrival rate of Netizens 45.1.3 Arrival size of Netizens 45.2 Data analysis & data mining 45.3 Market situation & trends 45.3.1 Market size 45.3.2 Situation 45.3.3 Trends 45.4 Question & keypoints 45.4.1 Questions and Problems 45.4.2 Development keypoints 45.5 Case analysis 45.5.1 TOP Case 45.5.2 INNOVATOR Case 46 Mobile Games 46.1 Market data 46.1.1 Degree of Industry Concentration 46.1.2 Arrival rate of Netizens 46.1.3 Arrival size of Netizens 46.2 Data analysis & data mining 46.3 Market situation & trends 46.3.1 Market size 46.3.2 Situation 46.3.3 trends 46.4 Question & keypoints 46.4.1 Questions and Problems 46.4.2 Development keypoints 46.5 Case analysis 46.5.1 TOP Case 46.5.2 INNOVATOR Case 47 Domain Service 47.1 Market data 47.1.1 Degree of Industry Concentration 47.1.2 Arrival rate of Netizens 47.1.3 Arrival size of Netizens 47.2 Data analysis & data mining 47.3 Market situation & trends 47.3.1 Market size 47.3.2 Situation 47.3.3 Trends 47.4 Question & keypoints 47.4.1 Questions and Problems 47.4.2 Development keypoints 47.5 Case analysis 47.5.1 TOP Case 47.5.2 INNOVATOR Case 48 Internet Access Service 48.1 Market data 48.1.1 Degree of Industry Concentration 48.1.2 Arrival rate of Netizens 48.1.3 Arrival size of Netizens 48.2 Data analysis & data mining 48.3 Market situation & trends 48.3.1 Market size 48.3.2 Situation 48.3.3 Trends 48.4 Question & keypoints 48.4.1 Questions and Problems 48.4.2 Development keypoints 48.5 Case analysis 48.5.1 TOP Case 48.5.2 INNOVATOR Case 49 Internet Security Product Service 49.1 Market data 49.1.1 Degree of Industry Concentration 49.1.2 Arrival rate of Netizens 49.1.3 Arrival size of Netizens 49.2 Data analysis & data mining 49.3 Market situation & trends 49.3.1 Market size 49.3.2 Situation 49.3.3 Trends 49.4 Question & keypoints 49.4.1 Questions and Problems 49.4.2 Development keypoints 49.5 Case analysis 49.5.1 TOP Case 49.5.2 INNOVATOR Case 50 IP Phone 50.1 Market data 50.1.1 Degree of Industry Concentration 50.1.2 Arrival rate of Netizens 50.1.3 Arrival size of Netizens 50.2 Data analysis & data mining 50.3 Market situation & trends 50.3.1 Market size 50.3.2 Situation 50.3.3 Trends 50.4 Question & keypoints 50.4.1 Questions and Problems 50.4.2 Development keypoints 50.5 Case analysis 50.5.1 TOP Case 50.5.2 INNOVATOR Case VI Conclusion Graph Index Report Introduction Graph 1：Distribution of Sample Regions Graph 2：Distribution of Sample Ages Graph 3：Distribution of Sample Education Graph 4：Distribution of Sample industries Graph 5：Distribution of Sample Posts Graph 6：Distribution of Sample Salaries Graph 7：Distribution of Sample Internet Personal Consumption Graph 8：Distribution of Sample mobile bills Graph 9：Distribution of Sample wireless value added service fees 1 Portals Graph1-1：Rank of the portals Graph1-2：Distribution of frequently used portals by netizens of different ages Graph1-3：Distribution of frequently used portals by netizens of different Education Graph1-4：Distribution of frequently used portals by netizens in different industries Graph1-5：Distribution of frequently used portals by netizens of different posts Graph1-6：Distribution of frequently used portals by netizens of different salaries Graph1-7：Distribution of frequently used portals by netizens of different internet consumption Graph1-8：Distribution of frequently used portals by netizens of different mobile bills Graph1-9：Distribution of frequently used portals by netizens of wireless value added service fees Graph1-10：Distribution of frequently used portals by netizens of different areas Graph1-11：Distribution of frequently used Instant Messengers by Portal users Graph1-12：Distribution of frequently used Email Services by Portal users Graph1-13：Distribution of frequently used Online recruiting by Portal users Graph1-14：Distribution of frequently used Localization comprehensive information websites by Portal users Graph1-15：Distribution of frequently used Online recruiting by Portal users Graph1-16：Distribution of frequently used Online friends making by Portal users Graph1-17：Distribution of frequently used online community by Portal users Graph1-18：Distribution of frequently used Online music by Portal users Graph1-19：Distribution of frequently used Music search engines by Portal users Graph1-20：Distribution of frequently used online movies by Portal users Graph1-21：Distribution of frequently used Online entertainment websites by Portal users Graph1-22：Distribution of frequently used Online sports websites by Portal users Graph1-23：Distribution of frequently used online advertisement alliances service by Portal users Graph1-24：Distribution of frequently used Online map service by Portal users Graph1-25：Distribution of frequently used Blog websites by Portal users Graph1-26：Distribution of frequently used SMS service providers by Portal users Graph1-27：Distribution of frequently used MMS service providers by Portal users Graph1-28：Distribution of frequently used WAP websites by Portal users Graph1-29：Distribution of frequently used CRBT service providers by Portal users Graph1-30：Distribution of frequently used IVR service providers by Portal users 2 Search engines Graph2-1：Rank of the search engines Graph2-2：Distribution of frequently used search engines by netizens of different ages Graph2-3：Distribution of frequently used search engines by netizens of different Education Graph2-4：Distribution of frequently used search engines by netizens in different industries Graph2-5：Distribution of frequently used search engines by netizens of different posts Graph2-6：Distribution of frequently used search engines by netizens of different salaries Graph2-7：Distribution of frequently used search engines by netizens of different internet consumption Graph2-8：Distribution of frequently used search engines by netizens of different mobile bills Graph2-9：Distribution of frequently used search engines by netizens of wireless value added service fees Graph2-10：Distribution of frequently used search engines by netizens of different areas Graph2-11：Distribution of frequently used instant messengers by search engines users Graph2-12：Distribution of frequently used Email Services by search engines users Graph2-13：Distribution of frequently used Online map by search engines users Graph2-14：Distribution of frequently used Online movies websites by search engines users Graph2-15：Distribution of frequently used Online yellow pages websites by search engines users Graph2-16：Distribution of frequently used websites navigation by search engines users Graph2-17：Distribution of frequently used Online news websites by search engines users Graph2-18：Distribution of frequently used Music search engines by search engines users Graph2-19：Distribution of frequently used WAP websites by search engines users Graph2-20：Distribution of frequently used MMS providers by search engines users Graph2-21：Distribution of frequently used CRBT providers by search engines users 3 Intant messengers Graph3-1：Rank of the intant messengers Graph3-2：Distribution of frequently used intant messengers by netizens of different ages Graph3-3：Distribution of frequently used intant messengers by netizens of different Education Graph3-4：Distribution of frequently used intant messengers by netizens in different industries Graph3-5：Distribution of frequently used intant messengers by netizens of different posts Graph3-6：Distribution of frequently used intant messengers by netizens of different salaries Graph3-7：Distribution of frequently used intant messengers by netizens of different internet consumption Graph3-8：Distribution of frequently used intant messengers by netizens of different mobile bills Graph3-9：Distribution of frequently used intant messengers by netizens of wireless value added service fees Graph3-10：Distribution of frequently used intant messengers by netizens of different areas Graph3-11：Distribution of frequently used portal users by instant messenger users Graph3-12：Distribution of frequently used search engines by instant messenger users Graph3-13：Distribution of frequently used Email Services by instant messenger users Graph3-14：Distribution of frequently used online news websites by instant messenger users Graph3-15：Distribution of frequently used C2C electronic commerce websites by instant messenger users Graph3-16：Distribution of frequently used B2C electronic commerce websites by instant messenger users Graph3-17：Distribution of frequently used B2B electronic commerce websites by instant messenger users Graph3-18：Distribution of frequently used online community websites by instant messenger users Graph3-19：Distribution of frequently used online game informations websites by instant messenger users Graph3-20：Distribution of frequently used online game operators by instant messenger users Graph3-21：Distribution of frequently used Online cartoons by instant messenger users Graph3-22：Distribution of frequently used Blog websites by instant messenger users Graph3-23：Distribution of frequently used WAP websites by instant messenger users Graph3-24：Distribution of frequently used Mobile game services by instant messenger users Graph3-25：Distribution of frequently used IP phone services by instant messenger users 4 Email services Graph4-1：Rank of the email services Graph4-2：Distribution of frequently used email services by netizens of different ages Graph4-3：Distribution of frequently used email services by netizens of different Education Graph4-4：Distribution of frequently used email services by netizens in different industries Graph4-5：Distribution of frequently used email services by netizens of different posts Graph4-6：Distribution of frequently used email services by netizens of different salaries Graph4-7：Distribution of frequently used email services by netizens of different internet consumption Graph4-8：Distribution of frequently used email services by netizens of different mobile bills Graph4-9：Distribution of frequently used email services by netizens of wireless value added service fees Graph4-10：Distribution of frequently used email services by netizens of different areas Graph4-11：Distribution of frequently used IP phone by email services users 5 Online news websites Graph5-1：Rank of the online news websites Graph5-2：Distribution of frequently used online news websites by netizens of different ages Graph5-3：Distribution of frequently used online news websites by netizens of different Education Graph5-4：Distribution of frequently used online news websites by netizens in different industries Graph5-5：Distribution of frequently used online news websites by netizens of different posts Graph5-6：Distribution of frequently used online news websites by netizens of different salaries Graph5-7：Distribution of frequently used online news websites by netizens of different internet consumption Graph5-8：Distribution of frequently used online news websites by netizens of different mobile bills Graph5-9：Distribution of frequently used online news websites by netizens of wireless value added service fees Graph5-10：Distribution of frequently used online news websites by netizens of different areas 6 Localization comprehensive information websites Graph6-1：Rank of the Localization comprehensive information websites Graph6-2：Distribution of frequently used Localization comprehensive information websites by netizens of different ages Graph6-3：Distribution of frequently used Localization comprehensive information websites by netizens of different Education Graph6-4：Distribution of frequently used Localization comprehensive information websites by netizens in different industries Graph4-5：Distribution of frequently used Localization comprehensive information websites by netizens of different posts Graph6-6：Distribution of frequently used Localization comprehensive information websites by netizens of different salaries Graph6-7：Distribution of frequently used Localization comprehensive information websites by netizens of different internet consumption Graph6-8：Distribution of frequently used Localization comprehensive information websites by netizens of different mobile bills Graph6-9：Distribution of frequently used Localization comprehensive information websites by netizens of wireless value added service fees Graph6-10：Distribution of frequently used Localization comprehensive information websites by netizens of different areas Graph6-11：Distribution of frequently used C2C electronic commerce websites by netizens of different areas Graph6-12：Distribution of frequently used B2C electronic commerce websites by netizens of different areas Graph6-13：Distribution of frequently used B2B electronic commerce websites by netizens of different areas 7 Finance websites Graph7-1：Rank of the finance websites Graph7-2：Distribution of frequently used finance websites by netizens of different ages Graph7-3：Distribution of frequently used finance websites by netizens of different Education Graph7-4：Distribution of frequently used finance websites by netizens in different industries Graph7-5：Distribution of frequently used finance websites by netizens of different posts Graph7-6：Distribution of frequently used finance websites by netizens of different salaries Graph7-7：Distribution of frequently used finance websites by netizens of different internet consumption Graph7-8：Distribution of frequently used finance websites by netizens of different mobile bills Graph7-9：Distribution of frequently used finance websites by netizens of wireless value added service fees Graph7-10：Distribution of frequently used finance websites by netizens of different areas Graph7-11：Distribution of frequently used Blog websites by finance websites users 8 Auto websites Graph8-1：Rank of the auto websites Graph8-2：Distribution of frequently used auto websites by netizens of different ages Graph8-3：Distribution of frequently used auto websites by netizens of different Education Graph8-4：Distribution of frequently used auto websites by netizens in different industries Graph8-5：Distribution of frequently used auto websites by netizens of different posts Graph8-6：Distribution of frequently used auto websites by netizens of different salaries Graph8-7：Distribution of frequently used auto websites by netizens of different internet consumption Graph8-8：Distribution of frequently used auto websites by netizens of different mobile bills Graph8-9：Distribution of frequently used auto websites by netizens of wireless value added service fees Graph8-10：Distribution of frequently used auto websites by netizens of different areas Graph8-11：Distribution of frequently used Online community by auto websites users Graph8-12：Distribution of frequently used Blog websites by auto websites users 9 Real estate websites Graph9-1：Rank of the real estate websites Graph9-2：Distribution of frequently used real estate websites by netizens of different ages Graph9-3：Distribution of frequently used real estate websites by netizens of different Education Graph9-4：Distribution of frequently used real estate websites by netizens in different industries Graph9-5：Distribution of frequently used real estate websites by netizens of different posts Graph9-6：Distribution of frequently used real estate websites by netizens of different salaries Graph9-7：Distribution of frequently used real estate websites by netizens of different internet consumption Graph9-8：Distribution of frequently used real estate websites by netizens of different mobile bills Graph9-9：Distribution of frequently used real estate websites by netizens of wireless value added service fees Graph9-10：Distribution of frequently used real estate websites by netizens of different areas Graph9-11：Distribution of frequently used Online community websites by real estate websites users Graph9-12：Distribution of frequently used Blog websites by real estate websites users 10 Online traveling reservations websites Graph10-1：Rank of the online traveling researvations websites Graph10-2：Distribution of frequently used online traveling researvations websites by netizens of different ages Graph10-3：Distribution of frequently used online traveling researvations websites by netizens of different Education Graph10-4：Distribution of frequently used online traveling researvations websites by netizens in different industries Graph10-5：Distribution of frequently used online traveling researvations websites by netizens of different posts Graph10-6：Distribution of frequently used online traveling researvations websites by netizens of different salaries Graph10-7：Distribution of frequently used online traveling researvations websites by netizens of different internet consumption Graph10-8：Distribution of frequently used online traveling researvations websites by netizens of different mobile bills Graph10-9：Distribution of frequently used online traveling researvations websites by netizens of wireless value added service fees Graph10-10：Distribution of frequently used online traveling researvations websites by netizens of different areas 11 Information technology websites Graph11-1：Rank of the information technology websites Graph11-2：Distribution of frequently used information technology websites by netizens of different ages Graph11-3：Distribution of frequently used information technology websites by netizens of different Education Graph11-4：Distribution of frequently used information technology websites by netizens in different industries Graph11-5：Distribution of frequently used information technology websites by netizens of different posts Graph11-6：Distribution of frequently used information technology websites by netizens of different salaries Graph11-7：Distribution of frequently used information technology websites by netizens of different internet consumption Graph11-8：Distribution of frequently used information technology websites by netizens of different mobile bills Graph11-9：Distribution of frequently used information technology websites by netizens of wireless value added service fees Graph11-10：Distribution of frequently used information technology websites by netizens of different areas Graph11-11：Distribution of frequently used C2C electronic commerce websites by IT websites users Graph11-12：Distribution of frequently used B2C electronic commerce websites by IT websites users Graph11-13：Distribution of frequently used B2B electronic commerce websites by IT websites users 12 C2C electronic commerce Graph12-1：Rank of the C2C electronic commerce Graph12-2：Distribution of frequently used C2C electronic commerce by netizens of different ages Graph12-3：Distribution of frequently used C2C electronic commerce by netizens of different Education Graph12-4：Distribution of frequently used C2C electronic commerce by netizens in different industries Graph12-5：Distribution of frequently used C2C electronic commerce by netizens of different posts Graph12-6：Distribution of frequently used C2C electronic commerce by netizens of different salaries Graph12-7：Distribution of frequently used C2C electronic commerce by netizens of different internet consumption Graph12-8：Distribution of frequently used C2C electronic commerce by netizens of different mobile bills Graph12-9：Distribution of frequently used C2C electronic commerce by netizens of wireless value added service fees Graph12-10：Distribution of frequently used C2C electronic commerce by netizens of different areas Graph12-11：Distribution of frequently used Instant Messengers software by C2C websites users Graph12-12：Distribution of frequently used Online community websites by C2C websites users Graph12-13：Distribution of frequently used Blog websites by C2C websites users Graph12-14：Distribution of frequently used IP phone services by C2C websites users 13 B2C electronic commerce Graph13-1：Rank of the B2C electronic commerce Graph13-2：Distribution of frequently used B2C electronic commerce by netizens of different ages Graph13-3：Distribution of frequently used B2C electronic commerce by netizens of different Education Graph13-4：Distribution of frequently used B2C electronic commerce by netizens in different industries Graph13-5：Distribution of frequently used B2C electronic commerce by netizens of different posts Graph13-6：Distribution of frequently used B2C electronic commerce by netizens of different salaries Graph13-7：Distribution of frequently used B2C electronic commerce by netizens of different internet consumption Graph13-8：Distribution of frequently used B2C electronic commerce by netizens of different mobile bills Graph13-9：Distribution of frequently used online B2C electronic commerce by netizens of wireless value added service fees Graph13-10：Distribution of frequently used online B2C electronic commerce by netizens of different areas Graph13-11：Distribution of frequently used Instant Messengers software by C2C websites users Graph13-12：Distribution of frequently used Online community websites by C2C websites users Graph13-13：Distribution of frequently used Blog websites by C2C websites users Graph13-14：Distribution of frequently used IP phone services by C2C websites users 14 B2B electronic commerce Graph14-1：Rank of the B2B electronic commerce Graph14-2：Distribution of frequently used B2B electronic commerce by netizens of different ages Graph14-3：Distribution of frequently used B2B electronic commerce by netizens of different Education Graph14-4：Distribution of frequently used B2B electronic commerce by netizens in different industries Graph14-5：Distribution of frequently used B2B electronic commerce by netizens of different posts Graph14-6：Distribution of frequently used B2B electronic commerce by netizens of different salaries Graph14-7：Distribution of frequently used B2B electronic commerce by netizens of different internet consumption Graph14-8：Distribution of frequently used B2B electronic commerce by netizens of different mobile bills Graph14-9：Distribution of frequently used B2B electronic commerce by netizens of wireless value added service fees Graph14-10：Distribution of frequently used B2B electronic commerce by netizens of different areas Graph14-11：Distribution of frequently used Instant Messengers software by B2B websites users Graph14-12：Distribution of frequently used Online community websites by B2C websites users Graph14-13：Distribution of frequently used Blog websites by B2C websites users Graph14-14：Distribution of frequently used IP phone services by B2C websites users 15 Online banking Graph14-1：Rank of the online banking Graph14-2：Distribution of frequently used online banking by netizens of different ages Graph14-3：Distribution of frequently used online banking by netizens of different Education Graph14-4：Distribution of frequently used online banking by netizens in different industries Graph14-5：Distribution of frequently used online banking by netizens of different posts Graph14-6：Distribution of frequently used online banking by netizens of different salaries Graph14-7：Distribution of frequently used online banking by netizens of different internet consumption Graph14-8：Distribution of frequently used online banking by netizens of different mobile bills Graph14-9：Distribution of frequently used online banking by netizens of wireless value added service fees Graph14-10：Distribution of frequently used online banking by netizens of different areas Graph15-11：Distribution of frequently used online banking by C2C electronic commerce websites users Graph15-12：Distribution of frequently used online banking by B2C electronic commerce websites users Graph15-13：Distribution of frequently used online banking by B2B electronic commerce websites users 16 Electronic payment Graph16-1：Rank of the online Electronic payments Graph16-2：Distribution of frequently used Electronic payments by netizens of different ages Graph16-3：Distribution of frequently used Electronic payments by netizens of different Education Graph16-4：Distribution of frequently used Electronic payments by netizens in different industries Graph16-5：Distribution of frequently used Electronic payments by netizens of different posts Graph14-6：Distribution of frequently used Electronic payments by netizens of different salaries Graph16-7：Distribution of frequently used Electronic payments by netizens of different internet consumption Graph16-8：Distribution of frequently used Electronic payments by netizens of different mobile bills Graph16-9：Distribution of frequently used Electronic payments by netizens of wireless value added service fees Graph16-10：Distribution of frequently used Electronic payments by netizens of different areas Graph16-11：Distribution of frequently used Electronic payments by C2C electronic commerce websites users Graph16-12：Distribution of frequently used Electronic payments by B2C electronic commerce websites users Graph16-13：Distribution of frequently used Electronic payments by B2B electronic commerce websites users 17 Online recruiting Graph17-1：Rank of the online recruiting Graph17-2：Distribution of frequently used online recruiting by netizens of different ages Graph17-3：Distribution of frequently used online recruiting by netizens of different Education Graph17-4：Distribution of frequently used online recruiting by netizens in different industries Graph17-5：Distribution of frequently used online recruiting by netizens of different posts Graph17-6：Distribution of frequently used online recruiting by netizens of different salaries Graph17-7：Distribution of frequently used online recruiting by netizens of different internet consumption Graph17-8：Distribution of frequently used online recruiting by netizens of different mobile bills Graph17-9：Distribution of frequently used online recruiting by netizens of wireless value added service fees Graph17-10：Distribution of frequently used online recruiting by netizens of different areas Graph17-11：Distribution of frequently used Blog services by Online recruiting websites users 18 Social network Graph18-1：Rank of the online friends making websites Graph18-2：Distribution of frequently used social network websites by netizens of different ages Graph18-3：Distribution of frequently used social network websites by netizens of different Education Graph18-4：Distribution of frequently used social network websites by netizens in different industries Graph18-5：Distribution of frequently used social network websites by netizens of different posts Graph18-6：Distribution of frequently used social network websites by netizens of different salaries Graph18-7：Distribution of frequently used social network websites by netizens of different internet consumption Graph18-8：Distribution of frequently used social network websites by netizens of different mobile bills Graph18-9：Distribution of frequently used social network websites by netizens of wireless value added service fees Graph18-10：Distribution of frequently used o social network websites by netizens of different areas Graph18-11：Distribution of frequently used Blog websites by social network users 19 Online communities Graph19-1：Rank of the online communities Graph19-2：Distribution of frequently used online communities by netizens of different ages Graph19-3：Distribution of frequently used online communities by netizens of different Education Graph19-4：Distribution of frequently used online communities by netizens in different industries Graph19-5：Distribution of frequently used online communities by netizens of different posts Graph19-6：Distribution of frequently used online communities by netizens of different salaries Graph19-7：Distribution of frequently used online communities by netizens of different internet consumption Graph19-8：Distribution of frequently used online communities by netizens of different mobile bills Graph19-9：Distribution of frequently used online communities by netizens of wireless value added service fees Graph19-10：Distribution of frequently used online communities by netizens of different areas 20 Online game informations websites Graph20-1：Rank of the online game informations websites Graph20-2：Distribution of frequently used online game informations websites by netizens of different ages Graph20-3：Distribution of frequently used online game informations websites by netizens of different Education Graph20-4：Distribution of frequently used online game informations websites by netizens in different industries Graph20-5：Distribution of frequently used online game informations websites by netizens of different posts Graph20-6：Distribution of frequently used online game informations websites by netizens of different salaries Graph20-7：Distribution of frequently used online game informations websites by netizens of different internet consumption Graph20-8：Distribution of frequently used online game informations websites by netizens of different mobile bills Graph20-9：Distribution of frequently used online game informations websites by netizens of wireless value added service fees Graph20-10：Distribution of frequently used online game informations websites by netizens of different areas Graph20-11：Distribution of frequently used Online community by Online game informations websites users 21Online game operators Graph21-1：Rank of the online game operators Graph21-2：Distribution of frequently used online game operators by netizens of different ages Graph21-3：Distribution of frequently used online game operators by netizens of different Education Graph21-4：Distribution of frequently used online game operators by netizens in different industries Graph21-5：Distribution of frequently used online game operators by netizens of different posts Graph21-6：Distribution of frequently used online game operators by netizens of different salaries Graph21-7：Distribution of frequently used online game operators by netizens of different internet consumption Graph21-8：Distribution of frequently used online game operators by netizens of different mobile bills Graph21-9：Distribution of frequently used online game operators by netizens of wireless value added service fees Graph21-10：Distribution of frequently used online game operators by netizens of different areas Graph21-11：Distribution of frequently used Online game informations websites by Online game users 22 Online cartoons Graph22-1：Rank of the online cartoons Graph22-2：Distribution of frequently used online cartoons by netizens of different ages Graph22-3：Distribution of frequently used online cartoons by netizens of different Education Graph22-4：Distribution of frequently used online cartoons by netizens in different industries Graph22-5：Distribution of frequently used online cartoons by netizens of different posts Graph22-6：Distribution of frequently used online cartoons by netizens of different salaries Graph22-7：Distribution of frequently used online cartoons by netizens of different internet consumption Graph22-8：Distribution of frequently used online cartoons by netizens of different mobile bills Graph22-9：Distribution of frequently used online cartoons by netizens of wireless value added service fees Graph22-10：Distribution of frequently used online cartoons by netizens of different areas Graph22-11：Distribution of frequently used Online community by Online cartoon users 23 Online music Graph23-1：Rank of the online music Graph23-2：Distribution of frequently used online music by netizens of different ages Graph23-3：Distribution of frequently used online music by netizens of different Education Graph23-4：Distribution of frequently used online music by netizens in different industries Graph23-5：Distribution of frequently used online music by netizens of different posts Graph23-6：Distribution of frequently used online music by netizens of different salaries Graph23-7：Distribution of frequently used online music by netizens of different internet consumption Graph23-8：Distribution of frequently used online music by netizens of different mobile bills Graph23-9：Distribution of frequently used online music by netizens of wireless value added service fees Graph23-10：Distribution of frequently used online music by netizens of different areas Graph23-11：Distribution of frequently used MMS service providers by online music websites users Graph23-12：Distribution of frequently used WAP by online music websites users Graph23-13：Distribution of frequently used CRBT service providers by online music websites users Graph23-14：Distribution of frequently used IVR service providers by online music websites users 24 Music search engines Graph24-1：Rank of the music search engines Graph24-2：Distribution of frequently used music search engines by netizens of different ages Graph24-3：Distribution of frequently used music search engines by netizens of different Education Graph24-4：Distribution of frequently used music search engines by netizens in different industries Graph24-5：Distribution of frequently used music search engines by netizens of different posts Graph24-6：Distribution of frequently used music search engines by netizens of different salaries Graph24-7：Distribution of frequently used music search engines by netizens of different internet consumption Graph24-8：Distribution of frequently used music search engines by netizens of different mobile bills Graph24-9：Distribution of frequently used music search engines by netizens of wireless value added service fees Graph24-10：Distribution of frequently used music search engines by netizens of different areas Graph24-11：Distribution of frequently used MMS service providers by music search engines users Graph24-12：Distribution of frequently used WAP by music search engines users Graph24-13：Distribution of frequently used CRBT service providers by music search engines users Graph24-14：Distribution of frequently used IVR service providers by music search engines users 25 Online showbiz Graph25-1：Rank of the online movies websites Graph25-2：Distribution of frequently used online showbiz websites by netizens of different ages Graph25-3：Distribution of frequently used online showbiz websites by netizens of different Education Graph25-4：Distribution of frequently used online showbiz websites by netizens in different industries Graph25-5：Distribution of frequently used online showbiz z websites by netizens of different posts Graph25-6：Distribution of frequently used online showbiz websites by netizens of different salaries Graph25-7：Distribution of frequently used online showbiz websites by netizens of different internet consumption Graph25-8：Distribution of frequently used online showbiz websites by netizens of different mobile bills Graph25-9：Distribution of frequently used online showbiz websites by netizens of wireless value added service fees Graph25-10：Distribution of frequently used online showbiz websites by netizens of different areas Graph25-11：Distribution of frequently used Electronic payment services by Online showbiz websites users 26 Online women websites Graph26-1：Rank of the online women websites Graph26-2：Distribution of frequently used online women websites by netizens of different ages Graph26-3：Distribution of frequently used online women websites by netizens of different Education Graph26-4：Distribution of frequently used online women websites by netizens in different industries Graph26-5：Distribution of frequently used online women websites by netizens of different posts Graph26-6：Distribution of frequently used online women websites by netizens of different salaries Graph26-7：Distribution of frequently used online women websites by netizens of different internet consumption Graph26-8：Distribution of frequently used online women websites by netizens of different mobile bills Graph26-9：Distribution of frequently used online women websites by netizens of wireless value added service fees Graph26-10：Distribution of frequently used online women websites by netizens of different areas 27 Online health websites Graph27-1：Rank of the online health websites Graph27-2：Distribution of frequently used online health websites by netizens of different ages Graph27-3：Distribution of frequently used online health websites by netizens of different Education Graph27-4：Distribution of frequently used online health websites by netizens in different industries Graph27-5：Distribution of frequently used online health websites by netizens of different posts Graph27-6：Distribution of frequently used online health websites by netizens of different salaries Graph27-7：Distribution of frequently used online health websites by netizens of different internet consumption Graph27-8：Distribution of frequently used online health websites by netizens of different mobile bills Graph27-9：Distribution of frequently used online health websites by netizens of wireless value added service fees Graph27-10：Distribution of frequently used online health websites by netizens of different areas 28 Online educations Graph28-1：Rank of the online education websites Graph28-2：Distribution of frequently used online education websites by netizens of different ages Graph28-3：Distribution of frequently used online education websites by netizens of different Education Graph28-4：Distribution of frequently used online education websites by netizens in different industries Graph28-5：Distribution of frequently used online education websites by netizens of different posts Graph28-6：Distribution of frequently used online education websites by netizens of different salaries Graph28-7：Distribution of frequently used online education websites by netizens of different internet consumption Graph28-8：Distribution of frequently used online education websites by netizens of different mobile bills Graph28-9：Distribution of frequently used online education websites by netizens of wireless value added service fees Graph28-10：Distribution of frequently used online education websites by netizens of different areas 29 Online entertainments Graph29-1：Rank of the online entertainments websites Graph29-2：Distribution of frequently used online entertainments websites by netizens of different ages Graph29-3：Distribution of frequently used online entertainments websites by netizens of different Education Graph29-4：Distribution of frequently used online entertainments websites by netizens in different industries Graph29-5：Distribution of frequently used online entertainments websites by netizens of different posts Graph29-6：Distribution of frequently used online entertainments websites by netizens of different salaries Graph29-7：Distribution of frequently used online entertainments websites by netizens of different internet consumption Graph29-8：Distribution of frequently used online entertainments websites by netizens of different mobile bills Graph29-9：Distribution of frequently used online entertainments websites by netizens of wireless value added service fees Graph29-10： 
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