iMFGIntelligent Manufacturing Summit
Currently, China's manufacturing industry is at a critical stage of digital transformation. On the technology supply side, software and hardware products have gradually covered all aspects of production and manufacturing; on the demand side, most manufacturing enterprises have successfully established entry points in application practices such as supply chain, production management, and data analysis, laying a certain foundation for transformation.
Against this backdrop,11month23day,iMFGThe Intelligent Manufacturing Summit was held in Shanghai. The summit specially invited senior managers from leading manufacturing enterprises at home and abroad, responsible persons for digitalization, technology companies and manufacturers with innovative cases and excellent solutions in the fields of steel, energy, machinery, automotive, light industry, etc. The summit focused on intelligent manufacturing, connected with the latest digital projects in the intelligent manufacturing industry, and made early arrangements for the future large market.
Frost & SullivanFrost & SullivanThe executive director of Frost & Sullivan Greater China region, Mr. Xiang Wei, was invited to attend the summit and delivered a presentation titled "Intelligent Manufacturing, the Core Engine Driving Future Industry"
Executive Director, Greater China, Frost & Sullivan To power
Data shows that as of2022In [year], China's GDP exceeded121trillion yuan, a year-on-year increase3.0%, among which industry in China as a wholeGDPContributed the most, in ChinaGDPIn the industrial structure,2010Year-end2022Percentage of each year40%,34%,31%and33%Relying on the support orientation of government and marketization, as well as the development of industrial clusters, China's industrial added value2022Year-over-year40Trillion yuan. Xiang Weili said that the strong resilience of the manufacturing industry can provide a development foundation for future economic growth. Intelligent manufacturing, which can empower the digital upgrading of traditional industries and manufacturing, is in a stage of increasing demand. Its importance and necessity are becoming increasingly prominent.
Pointing out to Wei Li, compared with traditional manufacturing processes, intelligent manufacturing processes have introduced different digital technologies into each link. At the same time, they can empower the manufacturing system with multi-organization collaboration and directly reach or manage terminal demands at each link, whereas traditional manufacturing processes only reach terminals after the product is launched.
"The development of intelligent manufacturing is driven by factors such as rising labor costs, declining profitability, and the rapid development of foundational industries." Xiang Weili further explained that the continuous growth in the aging population leads to a reduction in the number of working-age people and manufacturing workers, thereby indirectly increasing labor costs and prompting enterprises to use intelligent manufacturing technology to cope with labor shortages; in the post-pandemic era, traditional manufacturing faces severe loss risks. Against this backdrop, the manufacturing industry has introduced intelligent manufacturing digital tools such as big data analysis and robotics to offset profit declines; upstream core hardware in the industrial chain, such as intelligent sensors and lasers, is in a stage of rapid iteration and innovation, accelerating large-scale applications. The localization rate of core software continues to rise, helping to facilitate full-process digital manufacturing.
To consolidate their position in the global manufacturing industry, major countries are actively formulating intelligent manufacturing strategies, which has become a major trend in the development of global manufacturing. Looking at the upstream and downstream of the industrial chain, the upstream industries of the intelligent manufacturing sector mainly include basic hardware and basic software; the midstream industries consist of intelligent manufacturing equipment suppliers and intelligent manufacturing solution providers, among other system integration service providers; the downstream sector is primarily for market demand, including different industries such as automotive, electronics, and pharmaceuticals.
Subsequently, he briefly analyzed the development overview of the cornerstone industries of intelligent manufacturing for each region. He pointed out that intelligent manufacturing integrates information technology, artificial intelligence technology, advanced manufacturing technology, and automation technology. Among them, the Internet of Things (IoT), big data, cloud computing, and artificial intelligence technology are the cornerstone industries of intelligent manufacturing. None of these can be dispensed with, and they jointly empower and support the intelligent transformation of manufacturing.
As the underlying ecosystem, the Internet of Things has a huge market volume and helps to jointly improve intelligent manufacturing efficiency and returns. As the core region for global Internet of Things development, China's proportion of global connections remains stable at40%Left and right, the market has a leading and guiding role.
Cloud computing has gradually developed into an important driving force for national economic growth, further supporting the development of intelligent manufacturing. With the deepening of digital transformation, cloud computing has gradually become an important driving force for national economic growth and has been elevated to an important national strategic goal. The cloud computing market in our country2027It is expected to reach approximately RMB1.9trillion yuan, accounting for the global market share will be from2022year15.2%Rise to2027year23.4%.
The big data industry is developing rapidly, empowering intelligent manufacturing to efficiently capture, manage, and analyze massive amounts of data. In recent years, policies have promoted the expansion of the big data industry.2022The market scale of data management solutions in China reached RMB507yuan2018Year-end2022The annual compound growth rate reaches14.3%estimated2023Year to2027The year will continue to maintain stable growth.
With the support of policies such as the 'Guiding Opinions on Accelerating Scenario Innovation to Promote High-Quality Economic Development through High-Level Applications of Artificial Intelligence' and the 'Guiding Opinions on Promoting the Deep Integration of Artificial Intelligence and the Real Economy', artificial intelligence is developing alongside computing power, data, and algorithms, accelerating the popularization of intelligent manufacturing.2022In [year], the market scale of artificial intelligence in China reached RMB3,716Yuan billion, expected2023Year-end2027The compound annual growth rate will exceed30%.
Further elaborates on the empowering role of intelligent manufacturing in the new energy vehicle industry, electronics industry, steel industry, and energy industry, with a focus on its potential impact on power.
With the intensification of competition in the automotive market and the upgrading of consumer demand, low cost, high quality, and rapid delivery have become the goals pursued by major automakers and auto parts companies for transformation and upgrading. Intelligent manufacturing is driving the automotive production method towards gradual transformation and upgrading in the direction of flexibility, digitization, and intelligence, becoming a major development trend in the new energy vehicle industry.
The electronics industry is an important area of international competition. The development of the electronics industry is related to a country's status and influence in international competition. In recent years, China's electronics industry has achieved rapid development and occupies an important position in the global electronics industry. With the continuous deepening application of intelligent manufacturing, various emerging technologies are contributing to information-based, automated, and intelligent production methods. In the future, intelligent manufacturing will become the core driving force for the high-quality development of the electronics industry.
Steel, as an important basic industry of the national economy, is a crucial support for building a modern powerful country. The intelligent transformation of the steel industry is the core path for the high-quality development of the industry in the future. Intelligent manufacturing empowers all aspects of steel production, such as smelting, monitoring, pouring, management, and energy efficiency, helping the steel industry transform and upgrade, achieving production process automation, cost control, and marketing optimization.
The Chinese energy and power industry has a huge market volume and is facing pain points such as serious environmental pollution, low energy utilization rates, reverse distribution of supply and demand, and significant safety hazards, which urgently require transformation. Intelligent manufacturing helps to build a green energy industry system, realize the vision of high-quality and low-carbon development of the entire industrial chain, empower the construction of an energy circular economy development model, and promote multi-faceted transformation and upgrading of the energy industry.
