It is estimated that the scale of China’s artificial intelligence data standard acquisition service market will reach 12.34 billion yuan in 2025 From IDC
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Today, with the continuous improvement of data privacy protection regulations, the large-scale cultivation of data element market by the state and the continuous improvement of data circulation, IDC released the tracking report of China’s artificial intelligence basic data service market for the first time. The report predicts that by 2025, the scale of China’s artificial intelligence data standard acquisition service market will reach 12.34 billion yuan. On the one hand, the driving force for the development of the market comes from the rapid development of the artificial intelligence market, on the other hand, it comes from the increased data collection efforts of industry users.
Market composition
From the perspective of user demand, the market demand for basic data acquisition service of artificial intelligence mainly comes from automatic driving – including scenes such as in vehicle cockpit and road environment perception outside the vehicle, AI technology providers and intelligent security. In addition, the Internet industry and intelligent terminal industry are still the main investors of AI basic data services. With the introduction of artificial intelligence technology in traditional industries, the financial, medical and industrial fields also began to introduce data standard acquisition services into AI applications in vertical depth scenarios. Up to now, the market demand for AI basic data services has been basically clear: high labeling quality, fast labeling efficiency, more knowledge and experience, guaranteed data security, and high cost performance.
Market ecology
At present, the industrial chain of artificial intelligence data service market is not long, and the market participants (shown in the figure below) are mainly large-scale data annotation service providers. Of course, behind the data annotation platform, there are many small teams that provide data acquisition services. As traditional industries began to develop AI, traditional human resource service providers also began to participate in market competition. With the market competition, the scale effect will be more prominent – large-scale platform manufacturers will occupy a higher and higher market share.
Market pattern
According to the market scale of AI basic data acquisition service tracked by IDC, baidu continues to ensure the first market share in China’s AI basic data service market in the market pattern of 2020-2021h1; The second is Haitian auspicious sound. Other manufacturers worthy of attention include cloud test, appen, chinchilla data, datahall, standard shell data, etc.
Looking forward to the future, new technologies and trends are emerging in the development of artificial intelligence industry. For example, federal learning and large model all put forward new requirements for AI basic data standard acquisition services:
A wider range of data acquisition requirements: the AI application scenarios that data acquisition services need to meet are significantly wider than before.
Higher requirements for data annotation accuracy: in many scenarios such as automatic driving, data annotation accuracy is required to be continuously improved in order to further improve the accuracy of AI system.
Higher requirements for delivery efficiency: the rapidly changing market environment requires enterprises to improve R & D efficiency, and then put forward higher requirements for the delivery efficiency of AI basic data.
Increasing complexity of data annotation: with the increasing integration and complexity of AI application scenarios, it also brings some challenges to the difficulty and complexity of data annotation. Only experienced and powerful enterprises can adapt to this market change.
Data security related risks: timely adjust the current business development mode and data security management system according to the update requirements of laws and regulations.
Transformation of tagging personnel training mode: in the past, the cost of manual tagging was rapidly reduced through poverty alleviation, reemployment, industry, University and research. It is necessary to further explore vocational education and optimize tagging tools.
Lu Yanxia, assistant research director of IDC China, said: “The market competition is changing rapidly, and the introduction of AI basic data services helps enterprises quickly enter AI model development. When selecting external data standard acquisition services, while ensuring the basic data security, we should also consider the accumulation of annotation quality, annotation efficiency, knowledge and experience, as well as the construction of a proprietary dataset management system for AI.”
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