Current Situation of 1. Intelligent Machine Tool Market

Intelligent machine tool refers to the high-end CNC machine tool with the functions of independent learning, independent decision-making and independent control. It is an important equipment to realize the digital, networked and intelligent transformation of manufacturing industry. Intelligent machine tools can realize the automation, flexibility, lean and optimization of the production process, improve production efficiency, product quality and resource utilization, and reduce production costs and environmental pollution.

According to the data of Shangpu Consulting Group, the scale of the global intelligent machine tool market has been from2020of the year1850billion dollars to grow2022of the year2000billion dollars, with an average annual growth rate10.2%. expected2023By the end of the year, the global smart machine tool market will reach2300Billion US dollars, year-on-year growth15%。

In terms of regional distribution, Asia is the largest market for smart machine tools in the world, accounting for the global market share.40%Above. Among them, China is the world's largest consumer and producer of smart machine tools, accounting for the Asian market share.60%Above. China's intelligent machine tool market size from2020of the year480billion dollars to grow2022of the year520billion dollars, with an average annual growth rate12.8%. expected2023By the end of the year, the scale of China's intelligent machine tool market will reach600Billion US dollars, year-on-year growth15.4%。

Europe is the second largest market for intelligent machine tools in the world, accounting for the global market share.30%Left and right. Europe has Germany, Italy, Switzerland and other intelligent machine tool manufacturing powers, and its products are famous for their high precision, high reliability and high cost performance. European intelligent machine tool market size from2020of the year500billion dollars to grow2022of the year520billion dollars, with an average annual growth rate9.3%. expected2023By the end of the year, the size of the European smart machine tool market will reach580Billion US dollars, year-on-year growth11.5%。

North America is the third largest market for intelligent machine tools in the world, accounting for the global market share.20%Left and right. North America has developed countries and regions such as the United States and Canada, and its intelligent machine tool products are famous for their high technology content, high innovation and high added value. North American intelligent machine tool market size from2020of the year340billion dollars to grow2022of the year360billion dollars, with an average annual growth rate10.4%. expected2023By the end of the year, the size of the North American intelligent machine tool market will reach400Billion US dollars, year-on-year growth11.1%。

Other regions include South America, Africa, the Middle East and other developing countries and regions, the intelligent machine tool market size is relatively small, accounting for the global market share.10%Left and right. The size of the smart machine tool market in these regions has increased from2020of the year100billion dollars to grow2022of the year105billion dollars, with an average annual growth rate12.2%. expected2023By the end of the year, the size of the smart machine tool market in these regions will reach120Billion US dollars, year-on-year growth14.3%。

Development Trend of 2. Intelligent Machine Tool

The development trend of intelligent machine tools is mainly manifested in the following aspects:

Digitization. Digitalization is the basis and premise of intelligent machine tools, and it is a necessary condition to realize intelligence. Digitalization mainly includes digital design, digital manufacturing, digital management and digital services. Digital design refers to the use of computer-aided design.(CAD)Computer Aided Engineering(CAE), Computer Aided Manufacturing(CAM)and other software tools to optimize the design and simulation analysis of products and processes. Digital manufacturing refers to the use of numerical control technology, industrial robots,3DPrinting and other equipment and technologies to realize efficient, accurate and flexible production of products. Digital management refers to the use of enterprise resource planning.(ERP)Manufacturing Execution System(KNIFE)Production and operation management(MOM)and other software systems to realize the informationization, visualization and intelligent management of the production process. Digital services refer to the use of the Internet of Things.(IoT)Cloud computing, big data and other technologies to enable remote monitoring, diagnosis, maintenance and optimization of products.

Networking. Networking is the characteristic and goal of intelligent machine tools, and it is the key means to achieve synergy. Networking mainly includes equipment networking, workshop networking, factory networking and supply chain networking. Device networking refers to the use of industrial Ethernet, wireless communication and other technologies to achieve data exchange and information sharing between devices. Workshop networking refers to the use of industrial Internet platform, edge computing and other technologies to achieve the integration and coordination of various equipment, units and systems in the workshop. Factory networking refers to the use of cloud computing, Internet of Things and other technologies to achieve the connection and collaboration of various workshops, departments and levels in the factory. Supply chain networking refers to the use of blockchain, artificial intelligence and other technologies to realize the interconnection and interaction of various links, nodes and participants in the supply chain.

Intelligent. Intelligence is the core and soul of intelligent machine tools and the fundamental way to realize optimization. Intelligence mainly includes perception intelligence, control intelligence, decision-making intelligence and learning intelligence. Perceptual intelligence refers to the use of sensors, cameras and other equipment to achieve real-time monitoring and collection of parameters such as equipment status, production process and product quality. Control intelligence refers to the use of controllers, actuators and other equipment to achieve automatic adjustment and control of equipment operation, production process and product performance. Decision intelligence refers to the use of artificial intelligence, big data and other technologies to achieve intelligent analysis and optimization of equipment failures, production anomalies and market demand. Learning intelligence refers to the use of machine learning, deep learning and other technologies to achieve independent learning and continuous improvement of equipment knowledge, production experience and user feedback.

Greening. Greening is the responsibility and mission of intelligent machine tools and an important guarantee for sustainable development. Greening mainly includes energy saving and emission reduction, recycling and ecological protection. Energy saving and emission reduction refers to the use of new energy, new materials and other technologies to reduce the energy consumption and emissions of intelligent machine tools, and improve the energy efficiency and environmental efficiency of intelligent machine tools. Recycling refers to the use3DPrinting, remanufacturing and other technologies to extend the service life of intelligent machine tools and realize the regeneration and reuse of intelligent machine tools. Ecological protection refers to the use of digital twins, virtual reality and other technologies to reduce the consumption and destruction of natural resources by intelligent machine tools, and realize the harmonious coexistence of intelligent machine tools and the natural environment.

Servitization. Servitization is the value and direction of intelligent machine tools and an effective way to achieve customer satisfaction. Servitization mainly includes customized services, remote services and value-added services. Customized service refers to the use of Internet, cloud computing and other technologies to provide customized intelligent machine tool products and solutions according to the individual needs of users. Remote service refers to the use of Internet of things, mobile communication and other technologies to realize the remote monitoring, diagnosis, maintenance and upgrading of users' intelligent machine tool products. Value-added services refer to the use of big data, artificial intelligence and other technologies to provide value-added services such as optimization suggestions, training and education, and market analysis based on user usage data and feedback information.

International Cooperation and Global Layout of 3. Intelligent Machine Tools

The international cooperation and global layout of intelligent machine tools are characterized by diversification and differentiation, which are mainly reflected in the following aspects:

development strategy. According to their own manufacturing development level and goals, countries have formulated different development strategies and plans to promote the innovation and development of intelligent machine tools. For example, the United States has issued policy documents such as the "Advanced Manufacturing Leadership Strategy" and the "Industrial Internet Action Plan" to strengthen technological innovation and standard-setting in the field of intelligent manufacturing, and enhance the leadership of the United States in the global manufacturing industry. Germany proposed "industry4.0”plan,“Future Projects2020”and other policy measures to promote the digital network transformation and the development of high-end equipment manufacturing industry, to create a new advantage in the German manufacturing industry. China released "Made in China"2025》《“fourteen five”Intelligent Manufacturing Development Plan "and other policy documents, to promote intelligent manufacturing as the main direction, to build a new manufacturing system focusing on intelligent manufacturing, to promote the high-quality development of China's manufacturing industry.

technological innovation. According to their own technical advantages and needs, countries have strengthened their technological innovation and R & D investment in the field of intelligent machine tools to enhance their independent innovation capabilities and core competitiveness. For example, the United States has a leading edge in the field of artificial intelligence, cloud computing, big data and other new technologies, and its intelligent machine tool products are known for their high-tech content, high innovation and high added value. Germany in CNC technology, industrial robots,3DPrinting and other traditional technology fields have deep accumulation, and its intelligent machine tool products are famous for their high precision, high reliability and high cost performance. China is in5GEdge computing, Internet of things and other emerging technology fields have a rapid development momentum, and its intelligent machine tool products are welcomed with high performance, high efficiency and high quality.

Standard setting. According to their own market needs and rules, countries have strengthened the development and promotion of standards in the field of intelligent machine tools to promote the interoperability and compatibility of intelligent machine tools. For example, the United States has led the development of standards in the field of industrial Internet, and has issued standard documents such as the Industrial Internet Reference Architecture and the Industrial Internet Security Framework to promote the construction and application of industrial Internet platforms. Germany dominates the industry.4.0Standard setting in the field, issued the Industrial4.0Reference Architecture Model Industrial4.0Components "and other standard documents to promote the development and application of digital twin technology. China has led the formulation of standards in the field of intelligent manufacturing, and issued standard documents such as "Intelligent Manufacturing System Architecture" and "Intelligent Manufacturing System Integration Specification" to promote the construction and implementation of intelligent manufacturing systems.

Enterprise cooperation. According to their own industrial advantages and market opportunities, countries have strengthened their cooperation and competition in the field of intelligent machine tools to expand domestic and foreign markets and enhance their international influence. For example, multinational companies such as General Electric and Siemens in the United States have strong R & D capabilities and market share in the field of intelligent machine tools, and continue to expand their global layout and influence through acquisitions, joint ventures, and cooperation. Multinational companies such as Trump and Dimag in Germany have high-quality products and services in the field of intelligent machine tools, and continue to improve their global competitiveness and reputation through export, investment, and authorization. China's Haier, Gree and other multinational companies have rapid development speed and market potential in the field of intelligent machine tools. Through innovation, cooperation, localization and other ways, they continue to enhance their global adaptability and influence.

4. conclusions and recommendations

In summary, the following conclusions and recommendations can be drawn:

Intelligent machine tools are an important part of intelligent manufacturing and a key support for the high-quality development of manufacturing. The global smart machine tool market continues to grow in size and is expected2023The end of the year will reach2300billion dollars, with a compound growth rate7.5%. Asia is the largest market, accounting for the global market share.40%above, of which China is the largest consumer and producer.

The development trend of intelligent machine tools is mainly manifested in digital, networked, intelligent, green and service-oriented. digital twin, artificial intelligence,5GEdge computing and other new technologies are widely used in intelligent machine tools, which improve the performance, efficiency and quality of intelligent machine tools.

The international cooperation and global layout of intelligent machine tools are characterized by diversification and differentiation. According to their own advantages and needs, various countries have formulated different development strategies and policy measures, strengthened technological innovation and standard-setting, and promoted cooperation and competition among multinational companies and small and medium-sized enterprises.

Shangpu Consulting believes that intelligent machine tools are the core driving force leading the transformation of the manufacturing industry and have huge development potential and market space. It is recommended that relevant enterprises and institutions seize the opportunity, strengthen innovation and supply capabilities, expand domestic and foreign markets, and enhance international competitiveness.