Artificial Intelligence in China: The Current State of Industry and Development Trends

Authors

  • Polina E. Strukova Guangzhou Nanfang College, 882, Wenquan dadao, Guangzhou, Guangdong, 510970, People's Republic of China

DOI:

https://doi.org/10.21638/spbu13.2020.409

Abstract

Currently, in many countries of the world, developments in the field of artificial intelligence are given priority. Among the main countries competing for leadership in this area, China is gaining more and more weight, surpassing the United States of America in America who is considered the undisputed market leader. Despite tight government control and generous financial support for the artificial intelligence sector, which leads to the industry’s boom, China faces certain difficulties in developing this high-tech industry. Some of these difficulties are due to historical factors, while others are due to the state of the industry’s market. The country’s leaders are planning to overcome some of them by reforming related industries and introducing specific approaches to strengthen the position of Chinese companies involved in developments in machine learning, deep learning, natural language processing, computer vision fields, as well as working on projects in the field of big data analysis, autonomous intelligent systems, etc. This article provides an overview of the current state of the artificial intelligence industry in China and analyzes the recent trends of this market in China.

Keywords:

artificial intelligence, China, economy, commercialization, state

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References

Osipov G. S. Artificial Intelligence: A State of Research and a Look into the Future. Russian Association of Artificial Intelligence. 2001. Available at: http://www.raai.org/about/persons/osipov/pages/ai/ai.html (accessed: 15.09.2019). (In Russian)

Kaplan A., Haenlein M. Siri, Siri in my Hand, who’s the Fairest in the Land? On the Interpretations, Illustrations and Implications of Artificial Intelligence. Business Horizons, 2019, no. 62 (1), pp. 15–25.

On the Strategy for scientific and technological development of the Russian Federation. Decree of the President of the Russian Federation dated 01.12.2016, no. 642. Administratsiia Prezidenta Rossii. 2016. Available at: http://kremlin.ru/acts/bank/41449 (accessed: 10.06.2020). (In Russian)

Zhongguo rebgongzhineng chanye baipishu [White Paper Artificial Intelligence Industry in China]. Deqin. 2018. Available at: https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/innovation/deloitte-cn-innovation-ai-whitepaper-zh-181126.pdf (accessed: 14.12.2019). (In Chinese)

Vargas R., Mosavi A., Ruiz L. Deep Learning: A Review. Advances in Intelligent Systems and Computing, 2017, vol. 5 (2), рр. 1–11.

Artificial Intelligence (China Market). Rossiiskii Internet portal i analiticheskoe agentstvo TAdviser. 2019. Available at: http://www.tadviser.ru/index.php (accessed: 14.12.2019). (In Russian)

Universities have launched an Artificial Intelligence course in China. TASS, News Agency. 2019. Available at: https://tass.ru/obschestvo/6280961 (accessed: 14.12.2019). (In Russian)

Zhongguo zhizao 2025 de tongzhi [Circular Made in China — 2025]. PRC State Council, 2015, no. 28. 40 p. (In Chinese)

Komissina I. N. Current status and development prospects of artificial intelligence technologies in China. Mezhdunarodnaia politica. Problemy natsionalnoi strategii, 2019, no. 1 (52), pp. 137–160. (In Russian)

Xin yidai rengong zhineng fazhan jihua [New generation artificial intelligence development plan]. National Development and Reform Commission, 2017, no. 35. (In Chinese)

Cujin xin yidai rengong zhineng chanye fazhan san nian xingddng jihua (2018–2020 nian) [Three-year action plan to promote the development of a new generation of artificial intelligence industry (2018–2020)]. Ministry of Industry and Information Technology, 2018. 15 р. (In Chinese)

Skrypnik I. S. Commercialization of high technology products. INNOVATIKA-2017: Sobranie materialov XIII mezhdunarodnoi shkoly studentov, aspirantov i molodyh uchenyh (April 20–22, 2017), eds A. N. Soldatov, S. L. Minkov. Tomsk, STT Publ., 2017, pp. 524–527. (In Russian)

Search Engine Market Share Worldwide. StatCounter. Available at: https://gs.statcounter.com/search-engine-market-share (accessed: 18.01.2020).

Prinsloo L. Tencent’s 60,000 per cent gain hails one of biggest venture capital payoffs ever. Financial Review. 2018. Available at: https://www.afr.com/markets/tencents–60000-per-cent-gain-hails-one-of-biggest-venture-capital-payoffs-ever-20180323-h0xusf (accessed: 23.03.2018).

Alibaba Group Holding Limited. United States Securities and Exchange Commission. Available at: https://www.sec.gov/Archives/edgar/data/1577552/000104746919003492/a2238953z20-f.htm (accessed: 12.01.2020).

2019 nian zhongguo rengongzhineng shangye luodi yanjiu baogao [China artificial intelligence business landing research report 2019]. Yiou Think Tank, 2019. Available at: https://www.iyiou.com/intelligence/reportPreview?id=115258 (accessed: 14.12.2019). (In Chinese)

Danilin I. V. The development of the digital economy of the USA and China: factors and trends. Konturi global’nikh transformatsii: politika, ekonomika, pravo, 2019, no. 6 (12), pp. 246–267. (In Russian)

Gao Qiqi. Rengong zhineng: xunfu saiweitan [Artificial Intelligence: Taming the Leviathan]. Shanghai, Shanghai Transport University Publishing House, 2018. 298 p. (In Chinese)

Kutovaya Ya. Technology guides: how China and America fight for the chip market. Forbes. 2017. Available at: https://www.forbes.ru/kompanii/342361-provodniki-tehnologiy-kak-kitay-i-amerika-voyuyutza-rynok-mikroshem (accessed: 15.01.2020). (In Russian)

Number of smartphone users in China from 2017 to 2023. Statista. 2019. Available at: https://www.statista.com/statistics/467160/forecast-of-smartphone-users-in-china/ (accessed: 15.12.2019).

Ding J. Deciphering China’s AI Dream: The context, components, capabilities, and consequences of China’s strategy to lead the world in AI. Oxford, Oxford University Press, 2018. 44 p.

Suanfa, yingjian, kuangjia, 2019 nian AI hequhecong? [Algorithms, hardware, frameworks, where will AI go in 2019?]. Jiqizhixin. 2019. Available at: https://zhuanlan.zhihu.com/p/58645921 (accessed: 19.02.2020). (In Chinese)

Ding J. China’s Current Capabilities, Policies, and Industrial Ecosystem in AI. Oxford, Oxford University Press, 2019. 10 p.

Zhongguo rengongzhineng biaozhunhua baipishu 2018 fabu wanzheng ban [Full version of Artificial Intelligence Standardization White Paper 2018 in China]. China National Institute of Electronic Standardization. 2018. Available at: https://pan.baidu.com/s/1hueUZM8 (accessed: 19.02.2020). (In Chinese)

Open Source Projects as a Driver for the Development of Artificial Intelligence. AI Conference. 2019. Available at: https://aiconference.ru/ru/article/proekti-open-source-kak-drayver-razvitiya-iskusstvennogo-intellekta-96504 (accessed: 19.02.2020). (In Russian)

China AI development report 2018. China Institute for Science and Technology Policy at Tsinghua University. 2018. Available at: http://www.sppm.tsinghua.edu.cn/eWebEditor/UploadFile/China_AI_development_report_2018.pdf (accessed: 14.12.2019).

Realizing Society 5.0. The Government of Japan. Available at: https://www.japan.go.jp/abenomics/_userdata/abenomics/pdf/society_5.0.pdf (accessed: 19.02.2020).

One Country, Two Systems. China Net. Available at: http://www.china.org.cn/english/features/china/203730.htm (accessed: 20.02.2020).

Zhongguo xiongan guanwang [China Xiong’an official website]. Available at: https://xiongan.gov.cn (accessed: 07.06.2020). (In Chinese)

Yuegang’ao dawanqu fazhan guihua gangyao [Outline of Guangdong-Hong Kong-Macao Greater Bay Area Development Plan]. Zhengzhi ji neidi ju, 2019. 53 p. (In Chinese)

Guo Shiping. Yuegang’ao dawanqu guihua he quanqiu dingwei [Guangdong-Hong Kong-Macao Greater Bay Area Planning and Global Positioning]. Guangzhou, Guangdong People’s Publishing House, 2018. 280 p. (In Chinese)

Wu Hequan. The progress of communication technology subject of hi-tech research development plan of China. IEEE Xplore Digital Library. 2002. Available at: https://ieeexplore.ieee.org/document/889157/ (accessed: 20.02.2020).

Wang Jun, Yuan Jun. Yuegang’ao dawanqu jianshe baogao (2018) [Guangdong-Hong Kong-Macao Greater Bay Area Construction Report (2018)]. Guangzhou, Literature on Social Sciences Publ., 2018. 453 p. (In Chinese)

Zhongguo rengongzhineng 2.0 fazhan zhanlve yanjiu [Research on the Development Strategy of Chinese Artificial Intelligence 2.0]. Hangzhou, Zhejiang University Press, 2018. 284 p. (In Chinese)

Internet of Things. Gartner IT glossary. Gartner. 2012. Available at: https://www.gartner.com/en/information-technology/glossary/internet-of-things (accessed: 10.06.2020).

Vertical search. Academic. 2010. Available at: https://dic.academic.ru/dic.nsf/ruwiki/625042 (accessed: 10.06.2020). (In Russian)

Vatolin D., Ratushnyak A., Smirnov M., Yukin V. Data compression methods. Archiver device, image and video compression. Moscow, Dialogue-MIFI, 2002. 384 p. (In Russian)

Yang Aixi, Bu Xianghong, Yan Jiaxiang. Rengongzhineng shidai: weilai yi lai[The age of Artificial Intelligence: the future is here]. Beijing, National Publishing House of Communications, 2018. 285 p. (In Chinese)

NASA Information Technology (IT) Strategic Plan. National Aeronautics and Space Administration. 2018. Available at: https://www.nasa.gov/ocio/itsp (accessed: 20.02.2020).

Published

2021-02-19

How to Cite

Strukova, P. E. (2021). Artificial Intelligence in China: The Current State of Industry and Development Trends. Vestnik of Saint Petersburg University. Asian and African Studies, 12(4), 588–606. https://doi.org/10.21638/spbu13.2020.409

Issue

Section

Foreign policy and international relations of Asia and Africa