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    China's artificial intelligent market scale reached 1.76 billion US dollar cloud service + AI became the main battlefield in the field of AI

     

    International Data Company (IDC) new release "China Artificial Intelligence Software and Application Market Semi-annual Research Report (2019H1)" report shows that China's artificial intelligence market is $ 1.76 billion in the first half of 2019 (about 12.38 billion yuan), Among them, banking, insurance, government, and Internet industries are still an investment entity of artificial intelligence technology. China's labor intelligence market in 2019 Market pattern transition The hotspots in the China-US trade friction excitation AI market are transformed from the application layer to the chip layer. At this stage, the GPU dominates the AI ​​acceleration market, and the NPU / XPU is integrated into the AI ​​infrastructure in the next few years. The market is competed with the giant manufacturer and the founding enterprise to compete with the entities of the giant manufacturer and the entrepreneur. 视 Start IPO: On behalf of the first batch of AI's success, it also shows the competitive pressure of AI to create a company. Traditional industry giants play a force in the innovation of AI: such as state grids, Ping An Technology, etc. New application is incubating RPA + AI: It is also the application of technology and Ossen Technology, that is, AI is looking for potential applications in exploration, and also stimulates market began to pay attention to intelligent process automation IPA (IPA = RPA + AI, Intelligent Processing Automation). Video structure, intelligent process automation, digital employees will become the hotspots of the next five years. Deployment The ratio of the edge deployment is significantly improved, especially from the end-side reasoning frame such as Ali's MNN, Tencent's NCNN, Xiaomi's MACE is widely seen. From the perspective of industrial intelligence, industries + AI mainly integrate into various processes in the enterprise in the form of intelligent application solutions. From the perspective of technology, at this stage, the current market pattern can be analyzed from the perspective of computer vision, speech semantics, and machine learning development platform. Computer visual application The primitive innovation of the computer visual field, the original innovation of the algorithm model, the focus of innovation is the visual application of more complex scenes. The relative mature application scenario has a face comparison under the security field, static face recognition is identified, the image content review, etc. Applications that begin to the production environment include smart containers, commodity identification, commodity audit, industrial quality inspection, and these applications have also achieved a number of new AI creation enterprises. Applications in incubation include video structure, video analysis, automatic driving, etc. In the computer visual application overall market, the largest manufacturer of market is currently occupying the business soup, 视, clouds, aspects, Ha Daewoo and AI to special application scenarios such as wisdom, awake the technology, innovate. Speech semantics application Speech semantic fields, algorithm's innovation is still continuing, the 2019 new algorithm model in the market includes BERT, XLNET, ERINE. From the application scenario, the largest application scenario occupying the market size includes the speech assistant, the enterprise-level market dialogue manual intelligent customer service, and the oral evaluation of the education industry and the Tribiting Trial intelligence. The following figure shows the mainstream vendor under each application scenario in the following image, which represents the relative share of the vendor. Machine learning development platform In the machine learning market, IDC released IDC Marketscape in August 2019: China Machine Learning Development Platform 2019 manufacturer assessment, representing the market pattern of machine learning and development platform in 2019H1. The current market pattern is mainly divided into 3 types of manufacturers: 1) Platform-level company represented by cloud service providers, helping users quickly build machine learning models on the cloud, these cloud service providers are already in existing The customer group has accumulated a large number of machine learning applications. The advantage of such vendors is that there is a huge user base that can quickly translate into a user of machine learning products. 2) With the fourth paradigm, the star entrepreneurial representative represented by the Federation of Cubes is leading technology / product trends such as federal migration learning, fully automated Automl. The advantage of such vendors is the priority of technology and leading. 3) Big data platform companies are also launching machine learning components to help users achieve predictive analysis capabilities on large data platforms, such as Xinhua San, East, Star Ring Technology, etc. Cloud service + AI becomes the main battlefield in the field of AI At present, the main challenge of AI is lacking professional talents and deploying the threshold. The use of cloud AI capabilities can help users focus on the development and application of AI capabilities. The current cloud service market has more than 100 AI capabilities, mainstream AI cloud service providers include Baidu, Alibaba Cloud, Tencent Cloud, Huawei Yun, Jinshan Cloud, AWS, Azure, etc. How to help Cloud service users make intelligent upgrades, how to apply AI-driven cloud services, becoming the focus of the AI ​​cloud service market. Looking forward to the future, Idc China Assistant Research Director Lu Yanxia said that from the user end, only 50% of the company believes that the AI ​​projects they deployed have brought significant benefits, and nearly 60% of companies express their great difficulties in AI. From the market side, the application that can land and the incubation is exhibiting a certain degree of "fault". Overall, the market pattern of the next three years still has a major variable, and the key to winning is the ability to sustain innovation, market commercialization, and the ability to help manufacturers reduce the ability to speed up the land.

     

     

     

     

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