Artificial Intelligence technology has been developing rapidly in the past 10 years, and the maturity of the theory and technology has improved its scene integration ability. China in the policy, capital to promote the commercialization of AI application process accelerated, the application areas include finance, medical, security, education, transportation, manufacturing, retail, etc., and the scene is getting richer and richer.

I. Market Scale

Being driven by the dual motivation of downstream demand forcing and upstream technology molding, the global AI market will reach $2 trillion in 2020, and it is expected that the market will continue to maintain a high rate of growth in the next few years, and the global market size will reach the size of $15.7 trillion in 2030, which is about RMB 104 trillion. about 104 trillion yuan.

China's artificial intelligence development is relatively late, but driven by capital and social expectations, the development speed is fast. 2020 core industry scale reached 151.25 billion yuan, a growth rate of 38.94%. The scale of the leading industry is also growing rapidly, estimated to reach 572.57 billion yuan in 2020, with a year-on-year growth rate of 49.83%. In the future, AI applications will tend to be extensive, vertical, all-round reach the public work life into inevitable.

Two, the prospects and trends of the artificial intelligence industry

1. The application of AI will tend to be extensive and verticalized, and the full range of touching the working life of the general public is inevitable

At present, speech recognition, natural language processing and other applications have been widely used in the field of finance, education, transportation and other areas of the future of the AI application scenario The scope will continue to expand, the depth of penetration into various fields.

2. AI will merge and collide with other high-end technologies, giving rise to trillion-dollar market opportunities.

Big data provides more huge and complex data, laying the foundation for machine learning thinking; cloud computing provides arithmetic power for AI, while providing storage and computing services for big data; blockchain provides security for information leakage of AI, big data, and cloud computing. The mutual integration and promotion of AI and these technologies in the future will inspire more potential and breed vast business opportunities.