#1WIC V 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY <- 0101010 WIC 2020 China's New Generation Artificial Intelligence Technology Industry 0101010 Report 2020 omme The Development of China's Artificial Intelligence Technology Industry under New Challenges and Opportunities Liu Gang, chief economist of Chinese Institute of New Generation Artificial Intelligence Development Strategies June 24, 2020 "#2AV 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY <- 0101010 WIC 2020 Since 2019, a series of events, including the U.S. technology blockade, the impact of the COVID-19 pandemic and the launch of new infrastructure construction, have had a profound impact on the development of China's artificial intelligence technology industry. Didime The U.S. technology blockade has broken the global innovation cycle system of the artificial intelligence industry; How to overcome technological weakness, including chips and basic software, and build an autonomous and controllable global value network and innovation cycle system, are the new choices for development of China's artificial intelligence technology industry; The sudden COVID-19 pandemic has accelerated the development of China's artificial intelligence technology industry, and the upgrading of the consumer internet and the start of the industrial internet has become the engines for achieving high-quality development; The application of blockchain technology and the construction of new infrastructures including 5G will accelerate the deep integration of artificial intelligence and the real economy.#3WIC 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 津国 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY <- 0101010 Diame 0101010 0101010 WIC2020 I. Sample Screening and Data Collection#4AV 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY WIC 2020 Sample Composition of China's Intelligent Economy Sample Database Innovation Subject GIDIOID Listed Company 2017 2018 2019 124 149 144 0101010 Artificial Intelligence Enterprise Unicorn Company 146 94 97 Based on systematic surveys and public data collection, this report screens out 5,554 samples, including the 5 types of subjects: 797 artificial intelligence enterprises, investors, university and non-university scientific research institutions, and governments, to establish a sample database of China's intelligent economy. Data collection includes attribute data and relational data. Among them, the relational data covers three aspects: Technology relations: technology input and technology output; □ Core human capital relations: preliminary work and learning experience; □ Investment and financing relations: investment relation and financing relation. Investor Linker Total Others 138 502 556 Total Enterprise Samples 408 745 797 834 17805 73 94 109 University and Non- university Research Institute University Non-university Research Institute 56 75 103 Conference 138 823 909 Industry Alliance 83 117 190 Policy 42 301 577 Government Industrial Park 107 163 301 1741 4098 5554#5omme WIC 第四届世界智能大会 「貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY 0101010 0101010 WIC2020 11. 0101010 The Foundation and Structure of China's Intelligent Economy#6M2+ 4+A 18.00% 2.01% 2018 Sichuan-Chongqing Others 1. Intelligence enterprises The peak value created by 797 artificial intelligence companies appears in 2015; mainly distributed in Beijing, Guangdong, Shanghai and Zhejiang; among the four metropolitan coordinating region, Beijing-Tianjin-Hebei region ranks first, followed by Jiangsu-Zhejiang- Shanghai region and the Pearl River Delta. Beijing Municipality Guangdong Province Shanhai Municipality Zhejiang Province Jiangsu Province Sichuan Municipality Tianjin Municipality 16.94% 15.31% 8.16% 5.40% 1.88% Hubei Province 1.76% 1.38% Fujian Province Shandong Province 1.38% 0.88% Hunan Province Liaoning Province 0.88% 0.75% Chongqing Municipality 0.63% Shanxi Province 0.63% Anhui Province 0.50% 16.00% 14.00% 12.00% 10.00% 8.00% 6.00% 4.00% 2.00% 0.00% 2.01% 1.51% 1.00% 75.00% 0.6363% 0.13130132538131313% 1980 | 1990 ■1989 ■ 1987 1984 1982 42.53% 1992 | 1991 1996 1995 1994 1993 1998 1997 1999 1-6376% 1.38% 2.38% 1.38% 2003 2002 2001 2000 2004 2.26% 2.01% 76% 15.81% 14.68% 7.15% 6.52% 4.52% 4.14% 3.14% 1.51% 11.54% 5.52% 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Creation time distribution of 797 artificial intelligence enterprises 50.00% 45.00% 44.04% 40.00% 35.00% 30.00% 25.00% 20.00% 15.00% 10.00% 5.00% 0.00% 28.86% 16.94% 2.51% 7.78% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 40.00% 45.00% Distribution of 797 artificial intelligence enterprises in provinces, municipalities and autonomous regions Henan Province 0.25% 0.13% Xinjiang Uygur Autonomous Region Shanxi Province 0.13% Heilongjiang Province | 0.13% Hebei Province 0.13% Hainan Province 0.13% Gui Zhou Province 0.13% 0.00% Beijing-Tianjin-Hebei Pearl River Delta Jiangsu-Zhejiang-Shanghai Distribution of 797 artificial intelligence enterprises in national metropolitan areas#7WIC 2020 第四届世界智能大会 | 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY Application field distribution: 0101010 Artificial intelligence has been applied in 18 fields. Enterprise Technology Integration and Solution Provision 15.43% Intelligent Robot 9.66% Key Technology R&D and Application Platform New Media and Digital Content Intelligent Healthcare 8.91% 8.91% 7.65% Intelligent Hardware 7.03% Financial Technology 6.65% Smart Business And Retail 6.52% Intelligent Manufacturing 6.15% Intelligence Education Intelligent Transportation 4.52% 4.39% Intelligent Home 3.01% Intelligent Connected Vehicles 2.76% Intelligent Security 2.38% Intelligent City 2.38% Intelligent Logistics 2.01% Intelligent Government Affairs 0.88% Intelligent Agriculture 0.75% 0.00% 5.00% 10.00% 15.00% 20.00% Application field distribution of 797 artificial intelligence enterprises Smart Retail New Media and Digital Content Financial Technology Key Technology R&D and Application Platform Intelligent Transportation Intelligent Hardware Enterprise Technology Integration and Solution Provision 12.85% 8.09% 6.23% 4.23% Intelligence Vehicle Intelligence Travel Intelligence Education 4.00% 2.15% 1.90% Intelligent Healthcare 1.79% Intelligent Robot 1.47% Intelligent Manufacturing 1.40% Intelligent Algorithm 1.34% Intelligent City 1.14% Intelligent Home 1.11% Intelligent Logistics 1.03% Intelligent Security 0.68% Intelligent Government Affairs 0.16% Big Data and Cloud Computing Intelligent Agriculture 0.14% 0.03% Web of Things 0.00% 15.96% 15.94% 18.37% 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00% 16.00% 18.00% 20.00% Financing amount proportion in application field of 577 artificial intelligence sample enterprises#8AV 貓 第四届世界智能大会 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY Big Data and Cloud Computing Machine Learning and Recommendation Visual Identification Robotics Technology distribution: the base - Speech Recognition and Natural Language Processing layer accounts for 3.39%, technology-layer 23.84%, and application-layer 72.77%. Intelligent Hardware Others Technology Layer 23.84% Base Layer 3.39% Application Layer 72.77% ■ Application Layer Technology Layer Base Layer 27.60% 15.43% 15.31% 14.68% 9.03% 7.65% 5.27% Intelligent Chip 2.26% Biometric 1.51% Autopilot 0.63% Block Chain 0.38% AR/VR 0.25% 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% Core technology distribution of 797 intelligence enterprises Visual Identification Big Data and Cloud Computing Robotics 25.81% 23.50% 12.90% Speech Recognition and Natural Language Processing Machine Learning and Recommendation 10.14% 8.76% Intelligent Chip 7.83% Others 4.61% Intelligent Hardware 2.76% Biometric 2.30% Autopilot 0.46% AR/VR 0.46% Block Chain 0.46% 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% Core technology distribution of 217 base-layer and technology-layer intelligence enterprises#9V 第四届世界智能大会 融 WIC THE 4th WORLD INTELLIGENCE CONGRESS 津国 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY Patent quantity Patent quantity and research intensity 0101010 Beijing Municipality Guangdong Province Shanghai Municipality Zhejiang Province 15.00% 14.00% 7.00% Jiangsu Province 7.00% Tianjin Municipality 2.00% Hunan Province 2.00% Chongqing Municipality 1.50% Sichuan Province 1.50% Hubei Province 1.50% Fujian Province 1.50% Shanxi Province 0.50% Shandong Province 0.50% Liaoning Province 0.50% Hebei Province 0.50% Hainan Province 0.50% Research intensity TOP20 listed company WIC 2020 Research and TOP20 List of Listed TOP20 List of Listed Companies Development Strength Jieshang Visual 82.85% Companies Tonghuashun Research and Development Strength 28.56% Huazhong Numerical Weilai Automobile 80.75% 26.10% Control Hengsheng Electronic Jinshan Software 43.05% Meitu 25.05% 37.85% Gaode Infrared 24.72% 44.00% Baoqianli 37.02% Jiuan Medical 24.38% Shenxinfu Yingfusen 35.92% 24.16% Technology Yuanguang Haixin Technology 35.36% 23.31% Technology Lvjing Company Hongruan Technology 34.98% Jinzhi Technology 22.88% 32.42% Huiding Technology 22.53% Xiecheng 29.51% Iflytek 22.39% Base Layer 0 0.05 0.1 0.15 0.2 0.25 Technology Layer 0.1893 291 Application Layer 226 03 0.3 0.35 0.4 0.45 0.5 0.3617 3910 0.4491 Anhui Province 0.50% 0 500 1000 1500 2000 2500 3000 3500 4000 4500 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 40.00% 45.00% 50.00% Reginal distribution of patent quantity TOP200 sample enterprises Patent quantity proportion and average patent quantity of enterprises in each layer#102. Academic ecosystem INTELLIGENCE NEW LIV. As of December 31, 2019, 109 Al universities in mainland China are detected. At the same time, a total of 103 non- university research institutes in the field of artificial intelligence are detected, compared with the 75 institutes at the end of 2018, an increase of 28. Beijing Municipality Jiangsu Province Shanghai Municipality Guangdong Province Zhejiang Province Shanxi Province Shandong Province Hubei Province Liaoning Province Chongqing Municipality 8 00 7 6 4 3 Sichuan Province Hunan Province mm mm 3 3 0101010 15 13 9 9 9 Heilongjiang Province Fujian Province Anhui Province Tianjin Municipality Jilin Province Hebei Province Yunnan Province Shanxi Province Jiangxi Province Henan Province Gansu Province 2 2 2 3 3 3 0 2 4 6 8 10 12 14 16 Reginal distribution of 109 China's Al universities WIC2020 Tsinghua University Shanghai Jiao Tong University Harbin Institute of Technology Zhejiang University University of Chinese Academy of Sciences Beihang University 3.70% 3.12% 3.08% 2.55% 2.06% 1.82% Huazhong University of Science and Technology Southeast University Beijing Institute of Technology 1.70% 1.55% 1.52% Peking University 1.41% Dalian University of Technology South China University of Technology Xi'an Jiaotong University 1.36% 1.33% 1.32% University of Electronic Science and Technology of China 1.26% Tianjin University 1.25% Sun Yat-sen University Xidian University 1.20% 1.17% University of Science and Technology of China Wuhan University 1.16% 1.14% Northwestern Polytechnical University National University of Defense Technology Nanjing University of Aeronautics and Astronautics 1.07% 1.06% 1.03% Tongji University 1.01% Northeastern University 1.01% Hong Kong Polytechnic University Beijing University of Posts and Telecommunications University of Science and Technology Nanjing Chongqing University 1.00% 0.95% 0.95% 0.94% Sichuan University 0.93% Central South University 0.92% 0.00% 0.50% 1.00% 1.50% 2.00% 2.50% 3.00% 3.50% 4.00% Published international paper number TOP30 universities and their paper number proportions#11AV 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 3. Linker INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY From January 1, <- 0101010- WIC 2020 250 236 2019 to December 31 200 2019, 909 156 144 150 artificial intelligence conferences are detected by this report, more than conferences the 823 in 2018. 100 55 50 0 39 36 34 24 21 17 16 14 in Zhuhai Municipality Hefei Municipality Haikou Municipality 6 6 Beijing Municipality Shanghai Municipality Shenzhen Municipality Hangzhou Municipality Chengdu Municipality Guangzhou Municipality Nanjing Municipality Xian Municipality Chongqing Municipality Sanya Municipality Wuhan Municipality Suzhou Municipality Qingdao Municipality ■Tianjin Municipality Xiamen Municipality Hong Kong Special.. Guiyang Municipality Urban distribution of artificial intelligence conferences held in China in 2019 (TOP20) Chinese Association for Artificial Intelligence China Artificial Intelligence Industry Development Alliance Ministry of Industry and Information Technology China Academy of Information and Communication Geekbang AEIC Academic Exchange Center China Computer Federation 16 16 15 Huawei 14 Ofweek 12 11 11 Qianjia Intelligence The China Automation Congress Beijing Municipal People's Government Bosi Academic Exchange Center Mouser Electronics Blue Prism Anyong Financial Accounting Consultation Chinese Academy of Engineering Chinese Academy of Sciences Shenzhen Municipal People's Government China Institute of Communications 7 7 7 22 40 10 26 41 05 10 15 20 25 30 35 40 45 Top20 organizers of artificial intelligence related conferences in 2019#123. Governmen 天宮 responses From January 1, 2019 to December 31, 2019, this report detects a total of 276 artificial intelligence policy documents issued by 31 provinces, municipalities and autonomous regions in China. At the same time, it is detected that a total of 301 artificial intelligence industrial parks were planned and constructed by provinces, municipalities and autonomous regions across the country, and 138 were added in 2019 compared with 163 H industrial parks in 2018. Beijing Municipality Zhejiang Province Shandong Province Henan Province Guangxi Zhuang Autonomous Region Jiangxi Province Jiangsu Province Chongqing Municipality Yunnan Province Hunan Province Hebei Province Tianjin Municipality Anhui Province Shanxi Province 11 9 Fujian Province 9 Jilin Province 8 Hubei Province 8 Guangdong Province 8 Sichuan Province 7 Gansu Province Shanxi Province b Shanghai Municipality Guizhou province Hainan Province Tibet Autonomous Region Qinghai Province Liaoning Province Heilongjiang Province Ningxia Hui Autonomous Region Inner Mongolia autonomous Region Xinjiang Uygur Autonomous Region 5 3 13 12 222 12 12 20 16 16 16 20 0 5 10 15 20 2018 2019 25 30 Artificial Intelligence policy numbers published in 2018 and by provinces, municipalities and autonomous regions Shandong Province Jiangsu Province Guangdong Province 17 12 Zhejiang Province 10 14 Chongqing Municipality 10 Sichuan Province 8 Anhui Province Henan Province Hunan Province Shanxi Province Shanghai Municipality Guangxi Zhuang Autonomous.. Hebei Province Jiangxi Province Hubei Province 7 Tianjin Municipality Yunnan Province Beijing Municipality Guizhou province Shanxi Province Fujian Province Jilin Province Gansu Province Inner Mongolia autonomous... Liaoning Province 6 Xinjiang Uygur Autonomous.. 9 11 0000 20 Heilongjiang Province Hainan Province 0 5 10 15 20 25 New increase in 2019 Stock by 2019 25 33 30 35 Distribution of artificial intelligence industrial parks in by provinces, municipalities and autonomous regions#13> 2 第四届世界智能大会 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY 0101010 WIC 2020 Didione 0101010 0101010-> III.The Driving Force of China's Intelligent Economy 『མ་རིན་#14AV 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY The Value Network of China's Intelligent Economy 无法方人数据 WIC 2020 List of structural statistical indicators of the value network of China's intelligent economy <- 0101010 Statistical indicator Statistic value 平安集团 蚂蚁金服 华为采 處理 百度 商汤科技 科大讯飞 0101010 1400 为 Total Number of Sample Nodes 797 海康威视 中国移动 腾讯® (全曲 普讯云 WW-360 1200 阿里巴巴 WAR 預測出方 中国电信 阿里云 苏宁易购 清华大学 1000 京东 中国联通 Total Number of Value Network Graph Nodes 21413 京东季刊 度数k 大华限位 £800 航天信 600 Total Number of Value Network Graph Relations. 31949 400 Average Degree 1.492 200 0 0 Average Clustering Coefficient 0.021 5000 10000 15000 度数为k的个数 20000 Average Path Length 4.407 The value network of China's intelligent economy based on the relational data of 797 artificial intelligence enterprises#15WIC 第四届世界智能大会出」 THE 4th WORLD INTELLIGENCE CONGRESS TIANISCHNA 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY Weighted Degree Weighted Degree Top30 Relationship Between Nodes Top30 Sample Node Center Degree Center Degree Tsinghua University Intel 350 Tencent 1572 232 Huawei 1504 Peking University 167 Alibaba 1283 Shanghai Jiao Tong University 120 Baidu 1175 Microsoft 119 Jingdong 1071 Sequoia Capital China 117 China Telecom 711 Computing Power Zhejiang University 107 Pingan Group 650 Algorithm Alibaba Cloud Foxconn 94 564 Computing Hardware Nvidia 80 Iflytek 538 Zhenfund 66 China Unicom 536 Others Matrix Partners China 66 China Mobile 522 Application IBM 64 Ant Financial 425 Software Fudan University 62 Suning 414 Blockchain Venus Tech 61 Tencent Cloud 379 People's University of China 59 Hikvision 375 Qualcomm 58 Shangtang Technology 349 Huazhong University of Science And 51 Xiaomi 303 Technology Chenxing Capital 46 Qihu 360 272 University Of Science and Technology 45 Huawei Clous 258 Of China Harbin Institute of Technology 44 Ninth Power Big Data 249 Nanjing University 40 Jingdong Mathematics 248 Beihang University 39 Didi 245 Beijing Institute of Technology 38 Yitu Technology 218 Tencent Investment 38 Dahua Share 217 Legend Capital 38 Aisino 204 Shumeng Workshop 36 Digital China 201 University of Electronic Science and 35 Hengsheng Electron 193 Technology of China Beijing University of Posts and 34 Ufida 193 Telecommunications China Academy of Communications 34 Neusoft 193 Academia Sinica 33 Kuangshi Technology 179 0 20 40 Number of Technology Input Relationships 60 80 Number of Technology Output Relationships WIC 2020 Corporate Name the Relation of Technology Input TOP30 Sample Node The Number of Technology Input Baidu 149 Corporate Name Tencent the Relation of Technology Output TOP30 Sample Node The Number of Technology Output 1039 Tencent 115 Huawei 978 Alibaba 113 Jingdong 645 Jingdong 104 Alibaba 602 Huawei 88 Baidu 594 China Unicom 76 Alibaba Cloud 350 Alibaba Cloud 72 China Mobile 294 Tencent Cloud 67 IFLYTEK 289 Didi Taxi 66 China Unicom 288 China Mobile 65 Tencent Cloud 260 Xiaomi 58 China TELECOM 255 Ping An Group 57 Hicloud 224 Hikvision 55 Ping An Group 164 China TELECOM 49 Ant Financial 158 100 120 140 Oriental Pearl Group 47 Qihoo 360) 154 YITU Technology 45 Hikvision 147 Digital China 41 Sense Time 137 Dahua Technology 38 YITU Technology 124 ThunderSoft 36 Xiaomi 123 DingTalk 35 Didi Taxi 115 Qihoo 360 32 Dahua Technology 94 UFIDA 32 Kingsoft Cloud Group 89 Ant Financial 31 Ding Talk 86 H3C 28 MEGVII 85 Mininglamp 26 USFOUN BIGDATA 81 Sense Time 24 Digital China 80 InSigma vivo 22 H3C 78 20 JD Digits 76 Neusoft Group 20 Mining lamp 74 JD Digits 20 SIASUN Robot 73 Group comparison: the relation number of international technology input and output#16> 2 第四届世界智能大会 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY 0101010 WIC Didime 0101010 0101010-> IV. Platform-led Innovation Ecosystem མ་རི#17AV 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY Class statistics of value network relationship data of 15 artificial intelligence platforms Proportion Relation Category Number Technology Input 1095 100% Domestic 891 81.37% Overseas 204 18.63% Technology Relation Technology Output 6417 100% 小米 华为 Domestic 5871 91.49% 阿里巴巴 京东 Overseas 547 8.51% 科大讯飞 腾讯 学而思 Previous Learning 307 100% Experience 1200 商汤科技 海康威视 Domestic 220 71.66% 依图科技 奇虎360 1000 Overseas 87 28. 34% 中国平安 百度 Human Capital 旷视科技 Previous Working 800 510 100% 明略科技 Experience 600 Domestic 377 73.92% Overseas 133 26.08% 400 Investment and 2076 100% 200 Investment and Financing Financing Number Financing Number 435 20.95% 0 Relation 0 1000 2000 3000 4000 5000 6000 Investment Number 1641 79.05% 度数为k的个数 度数ķ#18V 第四届世界智能大会 貓 WIC THE 4th WORLD INTELLIGENCE CONGRESS the Relation of Technology Input TOP 10 Domestic Area the Relation of Technology Input TOP 10 Countries and Regions the Relation of Technology Input TOP10 Integrative Industrial Sectors Industry The Number of Technology Input The Proportion of Technology Input Industry the Relation of Technology Input TOP10 Al Com Industrial Sectors The Number of Technology Input The Proportion of Technology Input The Number of The Proportion of Province Country Technology Input Technology Input The Number of Technology Input The Proportion of Technology Input Software and Information 97 8.86% Beijing 325 29.68% America 126 11.51% Services Big Data and Cloud Computing 167 15.25% Guangdong 188 17.17% Germany 23 2.10% Electronic Manufacturing 63 5.75% Al Platform 125 11.42% Communications 49 4.47% Shanghai 92 8.40% England 13 Al Technology 89 8.13% 1.19% Commercial Service 34 3.11% Smart Chip 55 5.02% Zhejiang 63 5.75% Singapore 11 1.00% Intenet 22 2.01% Smart City 37 3.38% Jiangsu 31 2.83% South Korea 8 0.73% Equipment Manufacturing 16 1.46% Visual Identity 31 2.83% Shandong 20 1.83% Japan 8 0.73% Automobile 15 1.37% Intemet of Things 30 2.74% Fujian 19 1.74% Israel 7 0.64% HealthCare 12 1.10% Robot 24 2.19% Shanxi 17 1.55% Holland 6 0.55% Wise Information Anhui 16 1.46% France 4 0.37% Finance 11 1.00% Sichuan 15 1.37% Finland 4 0.37% Transportation 10 0.91% Technology of 120 Blockchain 19 1.74% 17 1.55% The Relation of Technology Output TOP 10 The Relation of Technology Output TOP 10 The Relation of Technology Output TOP 10 Domestic Area Countries and Regions Integrative Industrial Sectors The Relation of Technology Output TOP10 Al Core Industrial Sectors The Number of The Proportion of The Number of Province Country Technology Output Technology Output Technology Output The Proportion of Technology Output Industry The Number of Technology The Proportion of Technology The Number of Industry Technology Output The Proportion of Technology Output Beijing 1426 22.22% America 165 2.57% Output Output Guangdong 972 15.15% Germany 70 1.09% Software and Information Big Data and 335 5.22% 714 11.31% Services Shanghai 522 8.13% France 40 0.62% Cloud Computing Finance 333 5.19% Smart City 554 8.63% Zhejiang 336 5.24% England 35 0.55% Communications 293 4.57% Al Technology 225 3.51% Jiangsu 286 4.46% Japan 29 0.45% Automobile 270 4.21% Wise Education 224 3.49% Shandong 224 3.49% Singapore 24 0.37% Commercial Service 251 3.91% Al Platform 161 2.51% Shanxi 178 2.77% Switzerland 21 0.33% Intelligent Media 241 3.76% 130 2.03% Chongqing 177 2.76% South Korea 18 0.28% Transportation HealthCare 220 3.43% Talent Cultivation 103 1.61% Sichuan 169 2.63% Holland 17 0.26% Wise Information Fujian 159 2.48% Italy 12 0.19% Transportation 203 3.16% Technology of 102 1.59% 120 Smart Life Services 182 2.84% Electronic Manufacturing 141 2.20% Govemment Affairs Intelligent Logistics 82 1.28% 73 1.14%#19> 2 第四届世界智能大会 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY 0101010 Didione 0101010 0101010-> V. Converged Industry Sector མ་རི WIC#20第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY Application-layer Enterprise Value Network 01010 度数k WIC Weighted Degree TOP15 Sample Node TOP15 Relation Node Centrality Weighted Degree Centrality Ping An Group Su Ning 595 Huawei 180 404 Tsinghua University 168 保千里 Xiaomi 273 Baidu 128 Didi Taxi 264 Tencent 119 平安集团 USFOUN BIGDATA 242 Sequoia Capital China 88 华大基因 Tongdun Technology 222 Peking University 87 同方云罐 纵目科技 比亚迪 苏宁易购 YITU Technology 208 Alibaba 86 明略数据 钉钉 恒生电子 Hundsun 188 Intel 84 依图科技UCloud 华为 爱奇道华大学 滴滴出行 小米 九次方大数据 Oriental Pearl Group 167 Alibaba Cloud 80 百度 Shanghai Jiaotong 新东方 腾讯 Das Intellitech 163 63 宁德时代 University 学而思 同盾科培尔丹明珠和而泰 UCloud 163 China Unicom 57 达实智能 Haier Group 155 Zhejiang University 56 The Beijing Genomics 万安科技 途虎养车网 147 Matrix Partners China 55 Institute Mininglamp 135 China Mobile 50 HeT 130 ZhenFund 46 0 2000 4000 6000 8000 10000 度数为k的个数#2116 14 12 The leading role of 50 non-initial Al listed enterprises in the development of the converged industry sector .......... 10 8 6 4 2 0 2006 2008 2009 2010 2011 2012 2013 2014 2015 2016 Security Industry 1 1 2 1 1 Manufacturing Industry 1 1 3 3 2 3 4 9 14 4 Manufacturing Industry Security Industry Domestic University and Scientific Research Institutions 27% Unicorn Companies 7% AI Start-ups 16% Domestic Professional Talents 1% Domestic Enterprises 52% Foreign Enterprises 18% Listed Companies 16% Non-start-up Technological Enterprises Foreign University and Scientific Research Institutions 2% Others 3% 10% Big Data and Cloud Computing 26% Intelligent Manufacturing 5% 19% Chip Computer Vision 13% Intelligent Hardware 2% 27% 13% Others 10% Intelligent Safeguard Systems 2% 14% Mechanical Control and Automation 7% Intelligent car 1% 10% Natural Language Processing 7% Smart Home 1% 8% Robot Technology 7% Hardware Data Analysis Manless Driving Biometric Identification 90 6% Smart City 1% 5% 0% 90 5% 4% 1% 5% 10% 15% 20% 25% 30% Wise Information Technology of 120 0% 3% Intelligent Education 0% 1% Investment Financing#22AV 第四届世界智能大会 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY The active anticipation of unicorn companies: SenseTime, Megvii Technology, Yitu Technology and CloudWalk 0101010 WIC ↓ 易华录 商汤科技 Sense Time 28.75% 旷视科技 英伟达 清华大学 华为 上海交通大学 依图科技 云从科技 依图智安 MEGVII 26.25% YITU Technology 25.00% CloudWalk 20.00% Technology Output Technology Input 32.55% 27.18% 21.81% 18.46%#23AV 第四届世界智能大会 |貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY the Relation of Technology Input TOP5 Regional Distribution The Industry of the Relation Node of the Technology Input TOPS The Number of Technology Sense Time The Proportion of Technology The Industry of the Relation Node of the Technology Output The Number of Technology The Proportion of Technology Input Output Output Input TOPS Al Technology 5 21.74% Smart City 10 10.31% Visual Identity 5 21.74% Finance 9 9.28% Smart City 4 17.39% Wise Education 9 9.28% Edge Computing 2 8.70% AI Technology 8 8.25% Intelligent Hardware 2 8.70% Visual Identity 6 6.19% Sense Time MEGVII YITU Technology CloudWalk The Region Proportion Region Proportion Guangdong 21.74% Guangdong 14.29% America 17.39% Beijng 14.29% Shanghai 17.39% Shanghai 9.52% Beijng 13.04% Hong Kong 8.70% Sichuan Fujian 9.52% 4.76% Region Proportion Region Proportion Guangdong 35.00% Beijng 43.75% Shanghai 25.00% Guangdong 25.00% America 15.00% America 12.50% Beijng 10.00% Shandong 6.25% Fujian 5.00% Shanghai 6.25% The Industry of the Relation Node of the Technology Input TOPS The Number of Technology Input Proportion of Technology Input MEGVII The Industry of the Relation Node of the Technology Output TOPS The Number of Technology Output The Proportion of Technology Output Visual Identity 4 19.05% Visual Identity 8 9.88% Intelligent Hardware 4 19.05% Smart City 8 9.88% Big Data and Cloud Intelligent Safeguard 3 14.29% 7 8.64% Computing Systems Robot 2 9.52% New Retail b 7.41% Smart Chip 2 9.52% The Relation of Technology Output TOP5 Regional Distribution Big Data and Cloud Computing 5 6.17% YITU Technology Sense Time MEGVII YITU Technology CloudWalk Region Proportion Guangdong 20.62% Shanghai 19.59% Beijng 17.53% Hong Kong America 6.19% 5.15% Region Proportion Beijng 28.40% Guangdong 16.05% Shanghai 6.17% Zhejiang 6.17% 3.70% Henan Region Proportion Region Proportion Shanghai 27.69% Beijng 27.27% Beijng 16.92% Guangdong 18.18% Guangdong 16.92% Shanghai Shandong 7.69% Shandong 6.15% Zhejiang Chongqing The Industry of the Relation Node of the Technology Input TOPS The Number of Technology The Proportion of Technology The Industry of the Relation Node of the Technology Output Input The Number of Technology Output The Proportion of Technology Output Input TOPS Intelligent Safeguard Al Platform 8 40.00% 13 20.00% Systems 12.73% Smart Chip 5 25.00% Medical Treatment 10 15.38% Big Data and Cloud 7.27% 3 15.00% Finance 7 10.77% Computing 5.45% Visual Identity Wise Information Technology of 120 2 10.00% 2 10.00% AI Platform Wise Information Technology of 120 7 10.77% 6 9.23% CloudWalk 441 The Industry of the Relation Node of the Technology Input TOPS The Number of Technology Input The Proportion of Technology Input The Industry of the Relation Node of the Technology Output The Number of Technology Output The proportion of technology output TOPS Big Data and Cloud 5 31.25% Finance 18 32.73% Computing Smart Chip 4 25.00% Big Data and Cloud Computing 5 9.09% Al Technolol gy 2 12.50% Wisdom Finance 4 7.27% Al Platform I 6.25% Transportation 7.27% Visual Identity 6.25% Al Technology 3 5.45%#24> 第四届世界智能大会 | 貓 THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY Didime 0101010 - 0101010 WIC VI. Evaluation Index Ranking of Regional Industry Competitiveness མ་རི#25One Indicator Weight Two Indicator Weight Three Indicator Weight 智能 Enterprise Size 0.2045 INTELLIG Number of Enterprises Enterprise Valuation Average Number of Patents 0.1782 0.0263 0.1304 Enterprise 0.4368 Number of Base-layer and Capabilities Beijing Municipality Guangdong Province Shanghai Municipality Zhejiang Province Shandong Province 81.7 45.5 30.2 27.1 23.3 Enterprise Innovative 0.0629 0.2323 Technology-layer Enterprises Capability Jiangsu Province 19.9 Technology Output 0.0390 Liaoning Province 10.8 Relation Sichuan Province 10.7 Number of Al Universities 0.0607 Anhui Province 10.6 Number of Domestic Papers 0.0040 Hunan Province 9.7 in Universities Innovative Capabilities of 0.1084 Number of International Tianjin Municipality 9.7 AI Universities 0.0146 Papers in Universities Shaanxi Province 9.4 Number of Patents in Hubei Province 8.7 0.0291 Academic Ecology 0.2127 Universities Heilongjiang Province 8.0 Institutions 0.0607 Fujian Province 7.9 Number of Domestic Papers 0.0072 Chongqing Municipality 7.8 Innovative Capabilities of in Institutions Jilin Province 7.4 Non-university Scientific 0.1042 Research Institutions Number of International 0.0072 Hebei Province 5.0 Papers in Institutions Number of Patents in Henan Province 4.4 0.0291 Institutions Yunnan Province 4.2 Financing Relation 0.0195 Shanxi Province 3.7 Capital Environment Financing 0.1383 0.1865 The Amount of Financing 0.1188 Investment Core Human Capital 0.0482 0.0294 Openness Intemational Openness Investment Relation Studying Abroad Experience Working Abroad Experience Intemational Technology 0.0482 0.0091 0.0203 0.0776 0.0438 Input Technology Openness 0.0481 Intemational Technology 0.0043 Output Linking Capability of 0.0512 Number of Meetings 0.0085 Linkers 0.0512 Number of Industrial 0.0427 Linkers Govemment Responsiveness Alliances Jiangxi Province Gansu Province Xinjiang Uygur Autonomous Region 1.7 Guangxi Zhuang Autonomous Region 1.1 Guizhou Province 1.0 Inner Mongolia Autonomous Region 0.3 Hainan Province 0.3 Qinghai Province Tibet Autonomous Region 0.1 Ningxia Hui Autonomous Region 0.0 2.9 2.6 0.1 0.0352 Government Responsiveness 0.0352 Number of Industrial Parks Number of Policies 0.0293 0.0 50.0 100.0 0.0059#26WIC 第四届世界智能大会 THE 4th WORLD INTELLIGENCE CONGRESS 韩国 TALES OFBLA 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY 0101010 Conclusion WIC (1) Confronted with new challenges and opportunities, China's artificial intelligence technology industry accelerates to step into a new stage dominated by the converged industry sector. The upgrading of the consumer internet and the start of the industrial internet create broader application scenarios for the integrated development of artificial intelligence and the real economy; 0101010 (2) The U.S. technology blockade is breaking the global innovation cycle of the artificial intelligence technology industry. Through the combination of independent innovation and open collaboration, building an independent and controllable global innovation network is an inevitable choice for China to develop the artificial intelligence technology industry; (3) The integrated development of artificial intelligence, as a General Purpose Technology, and the real economy is the formation and evolution of a series of complementary innovations and specialized technology systems. Simple partial technology introduction is difficult to promote the development of the converged industry sector; (4) Institutional changes, including the sharing of government data and the cultivation of data element market, are the institutional guarantee for the development of the artificial intelligence technology industry.#270101010 WIC 第四届世界智能大会 |津国| THE 4th WORLD INTELLIGENCE CONGRESS 智能新时代:创新、赋能、生态 INTELLIGENCE NEW ERA: INNOVATION, ENERGIZATION AND ECOLOGY 0101010 0101010 Thanks 0101010 WIC 2020