The following is the 2020 global computing power index evaluation report China’s computing power is second only to the United States From IDC recommended by recordtrend.com. And this article belongs to the classification: artificial intelligence.
In the process of the gradual implementation of new technologies such as cloud computing and big data, computing power has become an important supporting force for the in-depth development of digital economy. Whether it’s the new infrastructure, industrial Internet, or all kinds of urban brains under construction, we can see the basic and intelligent computing power of servers, high-performance computing clusters, artificial intelligence hardware and so on at the bottom.
Just like the previous “electricity consumption” and “network touch”, to some extent, the amount of computing power resources can represent the economic development status of a country and industry.
Under the complicated and changeable international situation, what is the current situation of China’s computing power? Which industry has the greatest demand and potential for computing power? In the report of 2020 global computing power index evaluation (hereinafter referred to as “the report”) issued by Inspur information and IDC, the international consulting agency, these questions were answered. The report covers China, the United States, Japan, Germany, the United Kingdom, France, Australia, Brazil, Russia and South Africa. It comprehensively evaluates the computing power level of each country from four dimensions: computing power, computing efficiency, application level and infrastructure support.
Finally, the report confirms our previous conjecture that computing power is closely related to economic growth. The report also further quantifies the relationship between computing power and national GDP: with an average increase of one point in the index of computing power, the digital economy and GDP will grow by 3.3 ‰ and 1.8 ‰ respectively.
The trend of regression analysis between computational power index and GDP
Looking at the global power map, the United States ranked first in the national power index with 75 points, while China ranked second with 66 points. However, China’s pull effect is the most significant. From 2015 to 2019, nearly 50% of the growth of AI computing market expenditure in the sample countries comes from China.
Computing power index and ranking of countries
China and the United States are the two countries with the highest AI computing power expenditure, accounting for more than 10%, and China leads all sample countries with 14.1%. In addition, the report also points out that the proportion of global AI computing is increasing year by year. From the selected sample countries, the proportion of AI computing in the overall computing market has increased from 7% in 2015 to 12% in 2019, and is expected to reach 23% by 2024.
There is still a gap between China and the United States in terms of computing efficiency and application level, but the growth rate of various indicators in China is higher than that in the United States. With the rapid development and industry penetration of emerging technologies such as cloud computing, AI and Internet of things, the gap between China and the United States will be further narrowed.
The development of China’s computing power is unbalanced, and the efficiency of computing power application needs to be improved
Calculation power index and sub item score of each country
The report also reflects some issues worthy of attention. For example, in the calculation power index and sub item scores of various countries, although China’s calculation power index, calculation capacity, infrastructure support and other dimensions rank second only to the United States, their calculation efficiency and application level are slightly inferior to those of Japan and Germany.
As for such a problem, Zhou Zhengang, assistant vice president of IDC China, mentioned that China is a big country with a vast territory. The research scope of this report covers not only China’s eastern coastal areas and other economically developed areas, but also some remote inland areas. “In some places, the application level of computing power may be the same as that of South Africa or Brazil, with an index score of more than 30. This has greatly lowered the overall index of computing power application level in China. “
Zhang Dong, vice president of Inspur information, pointed out that this problem is essentially caused by the uneven distribution of computing power applications caused by the unbalanced economic development. On the one hand, it is the imbalance of regional development, on the other hand, it is the imbalance of industry development.
“China is not like the developed countries, where every place has money to do it. Therefore, if China really wants to make the digital transformation of the whole society move forward, it can’t just focus on the industries with enough money to invest, such as large enterprises and large industries, which large numbers of small and medium-sized enterprises / organizations, including ordinary people, should have the right to enjoy digital services. ” Zhang Dong said.
Zhang Dong believes that China’s computing power index ranks second in the world, but in terms of per capita, a lot of IT investment is still insufficient. This requires a government led computing infrastructure to help people improve their IT level. It is necessary to plan and build intelligent computing centers just like China’s efforts to build 5g and 4G, so as to ease the regional imbalance of the industry.
There is a positive correlation between the application of emerging technologies and the input of computing power
Why can China stand out in this survey of computing power? The big reason is that China is already in a leading position in the application of emerging technologies.
Zhou Zhengang believes that there are two core reasons why China has left behind Japan, Germany and other developed countries in terms of computing power. One is that as a country with a large population, everyone’s demand for smart phones, telecommuting, online meetings and other aspects needs the support of back-end computing infrastructure; on the other hand, the development of China’s mobile Internet, such as new technologies such as mobile payment, needs the support of back-end computing infrastructure The application of scene is also much higher than that of other countries. These two factors give birth to the vigorous development of China’s computing power.
Computing power and application level of emerging technologies in various countries
The report data also shows that there is a high correlation between the input of emerging technologies and the input of computing power. Computing power provides the basic guarantee for the application of emerging technologies. The development of emerging technologies further promotes the improvement of computing power, among which the Internet of things, artificial intelligence and big data have the most significant correlation, and emerging technologies and computing power show a pull effect on each other.
2015-2024 emerging technology investment and server market expenditure and correlation value
In this case, the report also puts forward specific suggestions for the follow-up development of each country
Leading countries should focus on improving computing efficiency and improve energy efficiency management while expanding the scale of data centers;
Catching up countries should focus on the matching of computing power and the development process of emerging technologies, increase AI computing investment, and stimulate the dividend of emerging applications;
Starting countries should promote the computing power through the improvement of application level, so as to form a benign pulling effect.
As for China, Zhang Dong believes that although China and the United States are in the first camp in terms of computing power index, China still lags far behind the United States in terms of computing power, computing efficiency, application level and infrastructure. “We need to further increase investment at all levels, catch up with the United States in core technology, and catch up with the United States in the promotion level of our application, so as to promote the whole development of China.” He said.
The demand for computing power in manufacturing industry is ignored
In most people’s subconscious power, the financial industry is the first field to be affected by digitalization and take action, so the demand for computing power in this industry should also be higher than that in other industries. However, according to the survey results of the report, in the ranking of global industry computing power, although the financial industry ranks the top 3, the computing power level of manufacturing industry is higher than that of finance, becoming a big field of computing power demand next only to the Internet.
Global industry computing power index ranking
“Our first response was not like this, because the second largest industry to buy servers in China is not manufacturing, but finance. Why? Because the manufacturing industry is very scattered, unlike big operators, big banks can concentrate on purchasing and developing it. The manufacturing industry is relatively small and scattered. The unbalanced development of various industries in China has resulted in the digital transformation of many small and medium-sized enterprises, which has a very big gap compared with western countries. ” Zhang Dong said.
The report points out that there is no doubt that the manufacturing industry is the second largest industry of computing power investment in the world, and it is also the largest traditional industry of computing power investment. Thanks to the global upgrading of manufacturing industry, the application maturity of emerging technologies such as Internet of things in the global manufacturing industry has been steadily improved. The manufacturing powers represented by Germany and Japan focus on high-end manufacturing industry to realize differentiated competition; while the manufacturing powers represented by China are striving to promote the transformation and upgrading of manufacturing industry; the countries with labor or cost advantages and demographic dividend are further accelerating the industrial process.
Digital transformation of Chinese and global enterprises
“Manufacturing upgrading, computing power first”, the global manufacturing computing power investment is mainly concentrated in R & D, production, supply chain management and services. Compared with European and American countries, the digitalization process of Chinese manufacturing enterprises still has a long way to go. The new formats and new models represented by industrial Internet will bring new development momentum to the manufacturing industry.
IDC predicts that 65% of global manufacturers will use digital twin technology in the application of Internet of things and machine learning in unstructured data sets by 2023, saving at least 10% of operating expenses.
By the end of 2021, 70% of manufacturing enterprises will carry out edge computing experiments to improve the quality and innovation ability of products and assets. Artificial intelligence will inject new energy into product lifecycle management (PLM) and Service Lifecycle Management (SLM).
IDC: the global robot and UAV spending is expected to reach 652.5 billion yuan in 2018 IDC: the global AI market is expected to reach 156.5 billion US dollars in 2020, with a year-on-year growth of 12.3% IDC: the AI infrastructure market will reach 2.09 billion US dollars in 2019, with a year-on-year growth of 58.7% IDC: it is expected that China’s conversational AI market will reach 1.86 billion US dollars by 2023 IDC Marketscape: evaluation of Chinese AI cloud service market in 2019 IDC: the scale of Chinese AI market in the first half of 2019 will reach US $1.76 billion IDC: the sales volume of Chinese AI infrastructure market in the first half of 2019 will reach US $837 million A year-on-year growth of 54.1% IDC & tide: 2020-2021 China’s AI computing power development assessment report (with download) IDC: 2019 global AI service provider assessment (with download) IDC: it is estimated that the Asia Pacific region’s AI system expenditure will reach nearly US $5.5 billion in 2019 IDC: China’s AI Market scale will reach US $1.76 billion in 2018 IDC: conversational AI leading the dialogue mode IDC & caict: robot 3.0 new ecology in the era of artificial intelligence (with download) IDC: the scale of China’s artificial intelligence software and application market will reach US $2.89 billion in 2019 IDC: the scale of China’s artificial intelligence infrastructure market will reach US $2.09 billion in 2019, with a year-on-year growth of 58.7%
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