From 2014, “artificial intelligence†has become the focus of capital attention. To date, there are more than 500 investment institutions with a total investment of more than 60 billion real money (source: billion euro think tank AI venture capital database). Especially after the second half of 2017, the market competition pattern of each sub-segment track was initially set, and the investment stage entered the middle and late stage. The financing amount of some enterprises has been so high: the single financing amount exceeds one billion, and the total financing amount Over ten billion.
Or stepping through the clouds, or struggling The speed of commercial intelligence in various industries is clearly different. From the perspective of the mainstream industry, the commercialization of finance and security is the fastest, and the companies in the field of autopilot and AI chips will have good revenue performance in 2019, and it will take several years for medical business to land.
In the financial sector, AI companies have had good revenue performance last year. The reason is that demand driving is a key factor in addition to the recent financial departures. For example, the core of finance is risk control, and financial institutions and platforms have an urgent need for more effective wind control technology solutions. Therefore, a large number of domestic enterprises have used AI to build an intelligent wind control model and began to invest in commercial operations.
In the security field, relying on policy support, commercial landing speed is faster. The Chinese government has put in a trillions of dollars into public security and smart cities, which is a huge policy for AI security companies. It is understood that 70% of the business soup and contempt for revenue last year came from security. Of course, start-ups will face the suppression of big companies in terms of channels, capital, technology, etc. We will discuss them below.
In the field of automatic driving, there are already many orders in the direction of laser radar. ToB's automatic driving projects have been successively launched, such as port area/logistics park transportation and take-away delivery. It is expected that there will be a large-scale mass production of vehicles in 2019, and OEMs who do the whole vehicle will dominate in the era of automatic driving.
In the field of AI chips, some companies will make tapes this year, and large-scale supply is expected to be 2019. At present, cloud-based embedded chips for algorithmic model training are mostly, and there are fewer chips for performing on-the-spot operations (such as smart cameras). The Cambrian sold the IP to Huawei Haisi, and the speed of commercial landing was at the forefront.
In the medical field, there are very few AI companies with revenue. Medical care is a highly regulated industry, especially for clinical auxiliary products, which need to be certified by the Food and Drug Administration before they can be introduced to the market. At present, there are no enterprises in China that have obtained medical device registration certificates for a new generation of medical AI products, and some enterprises have obtained Class II device certificates based on the previous CAD product approval methods. In addition, the business model of such products is not clear, the traditional software license model is difficult to grow, and companies and investors are exploring new directions.
In general, some industries are “smooth and sturdy†and some industries are “difficultâ€.
Artificial intelligence is essentially a technical tool. Its core value is to help the traditional industry to achieve higher productivity, and does not really derive a new market. The entrepreneurial enterprises born under the "AI+" mode will inevitably meet the traditional giants in various industries on the commercial road. For example, in the field of smart security, whether it is a security ASIC chip or an AI enterprise for computer vision solutions, Hikvision, a security leader with more than 300 billion market capitalization and increasing AI R&D investment, is a potential market competition relationship. - Even though some AI ventures are trying to get in touch with Haikang and strive for cooperation, there has been no substantial progress.
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