First of all, from the distribution of application fields of 581 application layer enterprises among 797 Chinese AI backbone enterprises, AI technology has been widely distributed in 18 application fields. Among them, the number of enterprises in the two application fields of enterprise technology integration and program provision and intelligent robotics accounted for the highest proportion, 15.43% and 9.66% respectively. The number of enterprises in the fields of key technology R&D and application platforms, new media and digital content, smart healthcare, smart hardware, financial technology, smart business and retail, and smart manufacturing accounted for a relatively high percentage, at 8.91%, 8.91%, 7.65%, 7.03%, 6.65%, 6.52%, and 6.15%, respectively. Intelligent agriculture has the lowest share of 0.75%. Enterprise technology integration and program provision and key technology R&D and application platforms ranked first and third in terms of share, indicating that technology integration and application program provision play a crucial role in the integration and development of AI with the real economy. And the number of intelligent robot enterprises ranked second shows that the intelligence of manufacturing industry is an urgent need for the development of AI.
Of the 581 AI sample enterprises, financing data for 577 enterprises as of the end of 2019 is available. Through the proportion of the financing amount of the industrial fields to which the 577 enterprises belong, it can be seen which application fields are more favored by capital. From the distribution of the financing amount of enterprises in AI application fields, the financing amount of smart retail, new media and digital content, and smart financial application fields is the highest, accounting for 18.37%, 15.96% and 15.94% respectively. In addition, key technology R&D and application platforms, intelligent transportation, and intelligent hardware accounted for more than 5% of the financing volume, which is a relatively high percentage of application areas.
Secondly, AI foundation and technology layer enterprises promote the integration of AI with the real economy through the synergy with real economy enterprises, *** with the construction of industrial intelligent innovation ecology. Among them, the most typical is the development of intelligent security industry. In the process of the intelligence of the traditional security industry, a dynamic industrial innovation ecosystem has been formed around key technological breakthroughs including video data structuring, intelligent terminals and edge computing. Industrial intelligentization innovation ecosystems have emerged in fields such as intelligent manufacturing, intelligent medical care, intelligent transportation, financial technology and intelligent education. The construction of innovation ecosystems suitable for the intelligentization of specific industrial fields has become a symbol of the deep integration and development of artificial intelligence and the real economy.
Once again, the state of ? polarization? in the core AI industry sector enterprises, through cooperation with advantageous industrial enterprises in other regions, through technology? Diffusion? that promote the integration and development of AI with the real economy. This report is based on the technology of 15 AI open innovation platforms and 4 computer vision unicorn companies? Diffusion Data analysis shows that through cooperation with industries with advantages in other regions,**** the same promote the integration and development of AI with the real economy. Among them, electronic information manufacturing and automobile manufacturing have become the frontier industries for intelligent development.
Finally, leading enterprises in traditional industries, through independent innovation, technology introduction and cooperation with core technology enterprises, have transformed and upgraded into AI enterprises, becoming the leading players in promoting the integration and development of AI and traditional industries. The report's analysis based on 50 non-initial AI listed companies shows that leading enterprises in traditional industries have built industrial innovation ecosystems through intelligent transformation and cooperation with enterprises mastering core AI technologies*** to promote the intelligence of industries. In terms of technology sources, the technology sources of the 50 non-initial AI listed companies leading the fusion industry sector are mainly AI startups in the core industry sector, accounting for 16% of the total. This is followed by AI-listed companies, such as Alibaba and Tech Data, with a share of 16%, while the third and fourth ranked companies are non-initial AI technology companies and unicorns, with a share of 10% and 7%, respectively. In addition to platform companies, AI startups and small and medium-sized enterprises (SMEs) are important technology source parties for industrial intelligence.
Based on systematic investigation and research, the report found that the integration and development of AI with the real economy is a process of forming a series of complementary innovations and specialized technology systems. Thus, promoting the integration and development of AI and the real economy requires innovative thinking. Especially for the late-developing regions, attention should be paid to fostering and constructing industrial innovation ecosystems and innovation and entrepreneurship environments suitable for the intelligent needs of local industries, and through the accumulation of complementary innovations and specialized technologies, in order to continuously improve the competitiveness of regional enterprises and industries through the process of integrating and developing AI with local advantageous industries.
In addition, from the report's data, it can be seen that China is accelerating the development of the AI technology industry.
The data shows that in 2019, China's local governments*** introduced 276 relevant policies involving the development of AI, more than 259 in 2018. It covers many fields such as smart government, smart healthcare, industrial internet, smart manufacturing, smart car networking, smart education and so on. Meanwhile, in terms of content, the policies are more refined compared to 2018, with a series of support policies open to specific industries and application scenarios.
In terms of the construction of intelligent industrial parks, China has added 138 new industrial parks in 2019 on the basis of 163 artificial intelligence industrial parks in 2018.? Through the planning and construction of industrial parks, regions will form a number of important carriers for the development of AI science and technology industries, and become intelligent science and technology innovation zones that lead the adjustment of regional industrial structure.? Liu Gang said.
The report analyzes the role of Chinese academia in promoting the development of AI science and technology industries. At present, Beijing, Jiangsu Province, Shanghai, Guangdong Province and Zhejiang Province are the provinces and cities where the distribution of AI universities in China is concentrated. According to Liu Gang, China's universities have initially formed a multi-level talent training system for AI basic theory research, technology development and technology application.
In the development of AI technology industry?
In the development of AI science and technology industry, the government, industry, academia, research and utilization? s industry alliances and conferences play an equally important role. By the end of 2019, the report*** detected 190 industrial alliances in the field of artificial intelligence. Various regions have been promoting the collaborative innovation and development of the AI science and technology industry by establishing AI industry alliances.