The total IT investment scale in China's artificial intelligence market is expected to exceed US$38 billion in 2027

IDC recently released the 2023 V2 version of the IDC Worldwide Artificial Intelligence Spending Guide. The latest data from IDC shows that the total global investment in artificial intelligence IT will be US$128.8 billion in 2022, and is expected to increase to US$423.6 billion in 2027, with a five-year compound growth rate (CAGR) of approximately 26.9%. With the recent breakthroughs in artificial intelligence technology and the improvement of application integration, various enterprises have begun to rush to use advanced technologies represented by artificial intelligence to adapt to the digital intelligence market environment, empower new businesses, and help enterprises determine the need for intelligent decision-making. goals, thus giving rise to more diversified customized demands for artificial intelligence.

Focusing on the Chinese market, IDC estimates that China’s artificial intelligence investment is expected to reach US$38.1 billion by 2027, accounting for about 9% of the world’s total. In recent years, my country's artificial intelligence industry has continuously improved its intelligence level and moved towards high-quality development. In the short term, the domestic artificial intelligence market still has room for growth in integrating with the different needs of various industries; looking to the future, under the background of government policy support and accelerated industrial upgrading, artificial intelligence technology will surely be integrated with enterprise development. , become part of the company's products, services and models, and become an important strategic resource that promotes the leap-forward development of Chinese companies

The rewritten content is as follows: Technical level

From a technical perspective, artificial intelligence (AI) hardware will remain the most important investment direction in the market during the next five-year forecast period, accounting for 60% of the total size of the Chinese market. As the artificial intelligence infrastructure gradually improves, the proportion of hardware spending in the total size of the Chinese market will gradually decrease, and the growth rate of spending during the forecast period will also gradually slow down. In order to meet the growth of artificial intelligence enterprises' cloud demand and corresponding increase in expenditures, we have added a new forecast for the cloud infrastructure (IaaS) technology submarket. According to IDC data, the IaaS market size will reach approximately US$6.3 billion by 2027, with a five-year compound growth rate of more than 26%

In recent years, the demand for artificial intelligence (AI) service markets has continued to grow, driving the continued expansion of the market size. International Data Corporation (IDC) predicts that AI services will become a hot investment market in the next two years, and the scale of expenditure will increase rapidly. It is predicted that by 2027, the Chinese market’s spending on AI services will exceed US$5 billion, with a five-year compound annual growth rate of approximately 30%

According to IDC's forecast, the artificial intelligence software market will have huge development potential during the next five-year forecast period, and the expenditure growth rate will rank first in the technology market. By 2027, the scale of artificial intelligence software spending will be close to 10 billion US dollars, accounting for about a quarter of the total market size, an increase of nearly 6 percentage points from the market size in 2022. In the secondary market of the software market, the growth rate of artificial intelligence platforms is relatively high. Among them, the five-year compound growth rate of the intelligent knowledge discovery software submarket exceeds 40%, making it the fastest growing technology submarket

Industry application refers to the application of specific technologies, knowledge or tools to specific industry fields. These applications can help industries improve efficiency, reduce costs, improve service quality, etc. There are various applications in different industries, such as electronic payment systems in the financial industry, electronic medical record management systems in the medical industry, smart POS systems in the retail industry, etc. Through industry applications, enterprises can better adapt to market demands, improve competitiveness, and achieve sustainable development

IDC predicts that the professional services industry will continue to be the industry with the most investment in artificial intelligence during the next five-year forecast period. Users in communications, banking, local government and discrete manufacturing industries followed closely, with investments in the field of artificial intelligence accounting for two-thirds of the entire Chinese market spending. According to IDC forecast data, by 2027, banks and local governments will still be the industries with the fastest growing AI spending, with a five-year compound annual growth rate of nearly 30%

In the field of professional services, AI capabilities based on generative AI, multi-modal, large-model application scenarios and cloud computing are accelerating in intelligent dialogue, data capture, customized solutions, etc. The integrated AI products can create a three-dimensional and all-round intelligent service system for customers. In the government industry, artificial intelligence technology focusing on intelligent identification and environmental status monitoring is mainly used in the construction of public safety monitoring platforms, smart city management platforms and intelligent social services; while in the financial industry, the main applications include dynamic monitoring of internal and external enterprises Risk, intelligent fraud detection and customized customer service, etc. At the same time, the application of artificial intelligence to human resources management will also become a focus investment area in the financial industry in the future. The growth rate of expenditure has attracted much attention, with a five-year CAGR of nearly 30%

Application scenario refers to the use occasion of a certain product, technology or service in a specific environment or situation. There are various application scenarios in different fields and industries. These scenarios can be sales, marketing, customer service, etc. in the commercial field, or experiments, data analysis, etc. in the scientific research field. By understanding and grasping different application scenarios, we can better respond to needs and provide more accurate solutions. Therefore, for any product, technology or service, it is very important to understand and master its application scenarios

According to IDC data, the largest application scenario for artificial intelligence spending in 2022 is new intelligent infrastructure provisioning (AI Infrastructure Provisioning), with an investment scale of nearly US$3 billion. In addition, enhanced intelligent customer service, sales process recommendation and enhancement, as well as intelligent business innovation and automation remain the focus scenarios of AI spending. The total investment in these four application scenarios is close to 50% of the entire Chinese market’s AI spending. Through innovative AI technology combined with higher-quality big data and upgraded algorithm models, we can achieve continuous iterative optimization of AI models, deepen business value vertically, and develop the ability to expand horizontally

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