Ubtech robots perform a synchronised dance at the World Intelligent Manufacturing Summit in Nanjing, China. Image: REUTERS/Stringer
Explore and monitor how Artificial Intelligence is affecting economies, industries and global issues
Get involved with our crowdsourced digital platform to deliver impact at scale
Stay up to date:
Two-thirds of global investment in artificial intelligence is poring in to China, which helped the AI industry there grow 67% last year alone.
China Money Network, a leading source of information on China’s technology sector, recently announced its top 50 AI companies to watch. They included 14 “unicorns” - start-ups with a valuation of $1 billion or more - worth $40.5 billion in total.
China's government, heavily backing many of these companies, is hoping AI will be worth 1 trillion yuan ($146 billion) to the country by 2030. Here are the top 5 Chinese AI powerhouses, in order of valuation as detailed in the report:
This company’s utter dominance of the global drone market – it has more than 70% share – has increasingly meant crossing over into AI. Research for its latest models, like the Phantom 4 drone, which uses image recognition to avoid objects, routinely incorporate AI design principles. DJI recently partnered with Microsoft to let its drones stream real-time data into a computer that can analyze it for, say, faults in power lines. Rumours are rife that DJI, using its accumulated expertise in image analysis and AI algorithms, may move into autonomous vehicles and robotics.
The Shenzhen-based outfit has come a long way since founder James Zhou borrowed money from family and friends to make its first humanoid robot, Alpha 1S. Expanding from its original focus on consumer-facing robots, it now also caters to enterprise, such as with the customer-service droid Cruzr intended for use in local government offices and schools. The next move is to shift to large-scale humanoid robots, which means honing Ubtech’s expertise in motion-control algorithms and computer vision. A recently launched robotics kit is trying to gain Ubtech a foothold in the educational sector, too.
Rooted in a research team investigating deep learning at the Chinese University of Hong Kong, SenseTime earned early renown by occasionally beating Google and Facebook in image-recognition competitions. Rapidly expanding on the back of massive rounds of VC, it currently supplies face-recognition tech that the Chinese government plans to use to track citizens through its network of 170 million CCTV cameras, and with which state-owned telecoms behemoth China Mobile will monitor its 300 million users. Banks, prisons, airports, police and retailers are already on the SenseTime client list; it may add autonomous driving and augmented reality to that roster soon.
Only two years old, this state-backed semiconductor and AI chip specialist has big ambitions. “We hope to take 30% market share of China’s high-performance smart chip market and to have 1 billion smart devices worldwide integrating our processors in three years’ time,” Chen Tianshi, one of its founding brothers, said recently. Optimized for deep learning capabilities, Cambricon chips are currently being slotted into Huawei smartphone products. If the company realizes its ambitions, it will help China achieve self-sufficiency in digital components and reduce dependency on imports.
Another facial-recognition giant, Guangzhou-based Cloudwalk started in business supplying technology to border-control agents. Now 24 Chinese provinces employ its public-security solutions – facial recognition terminals, scanning during door entry – and it has had particular success supplying software to the banking industry. It recently signed a deal to export its capabilities to Zimbabwe, in order to build a national facial-recognition database; the first Chinese AI initiative in Africa. Pushing into new areas, like 3D face-scanning, should ensure it continues to fight its corner of the AI playing field.
Don't miss any update on this topic
Create a free account and access your personalized content collection with our latest publications and analyses.
License and Republishing
The views expressed in this article are those of the author alone and not the World Economic Forum.
More on Artificial IntelligenceSee all
March 1, 2024
March 1, 2024
March 1, 2024
Dr Shaoshan Liu
February 29, 2024
Giulia Moschetta and Joanna Bouckaert
February 29, 2024
February 28, 2024