Global artificial intelligence market size
It is estimated that by 2017, the artificial intelligence market is expected to grow to approximately $1.25 billion. By 2025, the market size will reach 36.9 billion US dollars, with an average annual compound growth rate of 50.7%. In 2017, the global artificial intelligence market will grow by 94%. At present, artificial intelligence is mainly used in image recognition, item identification, detection and classification, and automated geophysical feature analysis. The largest piece of revenue in the artificial intelligence industry comes from the enterprise-level application market.
The scale of global artificial intelligence market in 2016-2025
China's artificial intelligence market scale
With the rapid development of artificial intelligence technology in China and the rapid promotion of commercial applications, artificial intelligence has been inserted into the wings of soaring, and has become a new competition track between countries. According to the data from the Prospective Industry Research Institute's "Prospective Market Analysis and Investment Strategy Planning Analysis Report", the scale of China's artificial intelligence market will reach 15.21 billion yuan in 2017, with a growth rate of 51.2%. With the gradual maturity of artificial intelligence technology, the layout of industry giants such as technology and manufacturing industries is deepening, and the application scenarios are expanding. It is expected that the scale of China's artificial intelligence market will exceed 20 billion yuan in 2018, reaching 23.82 billion yuan, with a growth rate of 56.6. %.
The scale and growth rate of China's artificial intelligence market in 2014-2018
Artificial intelligence penetrates into all levels of the industrial chain
The artificial intelligence industry chain is divided into a base layer, a technology layer, and an application layer. The basic layer provides basic services for artificial intelligence, including artificial intelligence chips, artificial intelligence training algorithm framework, database, etc.; technology has included speech recognition, image recognition, semantic understanding, etc.; application layer is to apply artificial intelligence technology to various industries ( Security, education, finance, industry, medical, etc.).
Artificial intelligence industry chain
The artificial intelligence market is constantly improving
The number of artificial intelligence start-ups has exploded in both years. It has grown to 389 in 2016 and has maintained double-digit growth. The amount of financing for artificial intelligence enterprises reached US$5 billion in 2016; the number of mergers and acquisitions of artificial intelligence enterprises reached 85 in 2016; and the number of equity financing of artificial intelligence enterprises reached 658, and the artificial intelligence market continued to improve.
The number of artificial intelligence start-ups, financing amount, and the number of mergers and acquisitions
Artificial intelligence chip is expected to become the next explosion point
The development of artificial intelligence, the chip first. Deep learning trains machines by building many hidden machine learning models and massive amounts of data, allowing machines to learn more useful features, ultimately improving the accuracy of classification and reasoning, and leading the direction of today's artificial intelligence algorithms.
Deep learning requires a lot of parallel computing. Traditional CPUs often require hundreds or even tens of thousands of instructions to complete a neural unit processing. They cannot support deep learning of large-scale data. Deep learning requires new chips. Accelerate large-scale parallel computing. Currently used artificial intelligence chips for accelerated deep learning parallel computing include GPUs, FPGAs, ASICs, and brain-like chips in theory.
In the context of the Internet of Everything, the application of AI chips has a broad imagination
In the future, every robot, every driverless car, every camera and even most of the hardware will be intelligent, and the one that acts as its brain is the chip. X86 architecture and ARM have dominated the Internet and mobile Internet era respectively. Intel acquired FPGA company. NVIDIA developed TeslaP100 for deep learning of artificial intelligence. The Cambrian company and Horizon robot of the Chinese Academy of Sciences are also working on artificial intelligence chips. It fully demonstrates that the field of AI chips is favored by the industry. In the new era of intelligence, AI chips will have a very broad application space as the core foundation of artificial intelligence.
Due to the continuous outbreak of the artificial intelligence market, the demand for computing platforms has also increased rapidly. Traditional server and computing platform providers have also sniffed huge market opportunities, and joint related manufacturers have launched corresponding products to lay out the AI ​​computing platform market. At the same time, with the artificial intelligence-related application scenarios and solutions matured in various vertical sub-segments, in addition to the large-scale application of GPUs, computing platform vendors have explored other accelerated computing solutions represented by FPGAs and ASICs. To meet the needs of differentiated applications.
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