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<br>In the previous decade, China has actually constructed a strong foundation to support its AI economy and made substantial contributions to AI worldwide. Stanford University's AI Index, which evaluates AI advancements worldwide throughout different metrics in research study, development, and economy, ranks China among the top three nations for worldwide AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the worldwide AI race?" Artificial Intelligence Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research study, for example, China produced about one-third of both AI journal papers and [AI](https://myteacherspool.com) citations worldwide in 2021. In financial investment, China accounted for nearly one-fifth of global private financial investment funding in 2021, attracting $17 billion for [AI](http://www.hcmis.cn) start-ups.2 Daniel Zhang et al., Artificial Intelligence Index report 2022, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, March 2022, Figure 4.2.6, "Private investment in AI by geographical location, 2013-21."<br> |
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<br>Five kinds of [AI](http://connect.lankung.com) companies in China<br> |
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<br>In China, we discover that [AI](https://puming.net) companies generally fall under one of 5 main categories:<br> |
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<br>Hyperscalers establish end-to-end AI innovation ability and collaborate within the community to serve both business-to-business and business-to-consumer business. |
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Traditional industry companies serve customers straight by establishing and embracing [AI](https://heartbeatdigital.cn) in internal transformation, new-product launch, and client services. |
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Vertical-specific AI companies establish software application and options for particular domain usage cases. |
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AI core tech service providers supply access to computer system vision, natural-language processing, voice recognition, and artificial intelligence abilities to develop AI systems. |
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Hardware companies supply the hardware infrastructure to support AI demand in computing power and storage. |
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Today, AI adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the country's AI market (see sidebar "5 types of AI companies in China").3 iResearch, iResearch serial market research study on China's [AI](http://85.214.112.116:7000) market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both home names in China, have ended up being understood for their extremely tailored AI-driven consumer apps. In reality, most of the [AI](https://social.mirrororg.com) applications that have been extensively embraced in China to date have actually remained in consumer-facing markets, propelled by the world's biggest web customer base and the capability to engage with consumers in new methods to increase client loyalty, earnings, and market appraisals.<br> |
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<br>So what's next for AI in China?<br> |
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<br>About the research<br> |
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<br>This research is based on field interviews with more than 50 professionals within McKinsey and throughout industries, together with substantial analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly in between October and November 2021. In performing our analysis, we looked outside of industrial sectors, such as finance and retail, where there are currently mature AI use cases and clear adoption. In emerging sectors with the greatest value-creation potential, we focused on the domains where [AI](https://dronio24.com) applications are currently in market-entry stages and might have an out of proportion effect by 2030. Applications in these sectors that either remain in the early-exploration stage or have fully grown market adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the study.<br> |
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<br>In the coming decade, our research study indicates that there is tremendous opportunity for AI growth in brand-new sectors in China, including some where development and R&D costs have generally lagged worldwide counterparts: automotive, transportation, and logistics |
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