In recent years，with the continuous advancement of technology and the deep integration of the global economy，the artificial intelligence（AI）industry has become an important engine driving global economic growth，a strategic technology leading a new round of technological revolution and industrial transformation，and an important driving force for new industrialization.Major countries around the world attach great importance to it.With the development of high-performance computing and deep learning algorithms，the field of artificial intelligence has entered a new era of generative artificial intelligence.However，the current artificial intelligence industry in China faces practical problems such as a shortage of datasets and core technologies being controlled by humans，and there is still a significant gap compared to foreign countries.This article conducts a classification analysis of key artificial intelligence enterprises at home and abroad.By analyzing the support and industrial chain layout of the artificial intelligence industry in various countries，it is found that rapidly developing countries all have massive data，specialized algorithms，high-performance computing power，and other driving factors.However，some countries still face serious challenges such as insufficient innovation capabilities in basic algorithms，lack of ethical norms，and insufficient interdisciplinary cooperation.In the future，measures need to be implemented to strengthen data resource integration and sharing，encourage cross industry technology collaboration，enhance computing power resource supply，and improve relevant laws and regulations，in order to achieve comprehensive progress and widespread application of artificial intelligence technology.