In 2018, with the promulgation of relevant government support policies and the advancement of the intelligentization process of the manufacturing industry, China's intelligent manufacturing industry is now showing rapid development. It is estimated that the market size in 2019 will reach 1.90 billion yuan.
Intelligent manufacturing is one of the crucial points for the global industrial industry to wake up. With the rapid development of 5G, artificial intelligence, and the Internet of Things, intelligent manufacturing has ushered in the first rays of winter.
15150 亿元，增长率为 22.6％ ，随着各大企业和机构对于技术的研究更加深入、产品更加创新，预计2019年市场规模将会 19000 亿元。 According to the data, the market size of China's smart manufacturing industry in 2017 was 1,515 billion yuan, with a growth rate of 22.6% . With the in-depth study of technology and more innovative products by major enterprises and institutions, the market size in 2019 is expected to be 19,000 100 million yuan.
China's smart manufacturing industry market size
Data source: Collated by Foresight Industry Research Institute
With the continuous promulgation of policies in the field of intelligent manufacturing, China's manufacturing industry has gradually transformed to the direction of intelligent manufacturing, and has started to apply a large number of related technologies such as cloud computing, big data, and robotics. As one of the main driving forces of China's manufacturing industry, with the continuous promulgation of favorable policies, the industry will continue to grow steadily, and China's manufacturing industry will play an increasingly important role.
等方面来看2019年中国智能制造将迎十大发展趋势。 From the perspective of development prospects, technology integration, business models, and production safety , China's smart manufacturing will usher in ten major development trends in 2019.
Safety in production will be top priority
Digital assets such as industrial core data, key technology patents, and corporate user data have become corporate core assets.
As the primary guarantee of production, safety has always been the most concerned issue for governments and employees.
When intelligent manufacturing integrates many cutting-edge technologies of robotics and artificial intelligence, accidents that can be controlled in time by humans seem simpler, but with the increase of equipment, how to effectively manage the safety of human-computer interaction is one of the key points.
In addition, after the Industrial Internet of Things entered the manufacturing industry, incidents of data attacks on the Industrial Internet of Things often occurred, so the security of data of enterprises' equipment and products also became particularly important.
At present, China's data security regulation system and supervision mechanism are not yet complete, which has inhibited the pace of intelligent upgrading of enterprises to a certain extent.
In the future, improving the data life cycle security and increasing the trust and willingness of enterprises to go to the cloud will become an important basis for intelligent upgrade decisions for Chinese enterprises.
Smart manufacturing industry will expand further
The application of intelligent manufacturing in the automotive industry and 3C electronics has gradually deepened. When companies began to realize that intelligent manufacturing is an important direction to achieve China's manufacturing 2025, digitalization, networking, and intelligence can continue to optimize the output value and efficiency of enterprises. Intelligent manufacturing will further penetrate the petrochemical, textile, machinery and other industries.
Universal technology may become a breakthrough for AI +
Under the vigorous development of customized flexible manufacturing and multi-scenario production, general-purpose technology cannot meet production needs. For AI to empower traditional industries, these needs can be easily addressed.
With the accumulation of big data, enterprises can use AI to realize the rapid transformation of professional scenes and truly transform manufacturing to "smart" manufacturing.
Digital twin technology may rise
In 2018, the automotive industry was relatively sluggish, and it was not as "golden nine silver and ten" as in previous years. Objectively speaking, the cost from buying a car to maintaining a car is very high.
Digital twin technology will be the first choice for enterprise digital upgrades and smart factory construction. Car companies can use these technologies to solve the high cost of complex production processes and waste of resources during the research and development process, and make digital models at lower costs. .
By reducing costs, sales of the automotive industry in the next year can be expected. At the same time, the introduction of digital twin technology in the 3C field can also drive the development of the industry.
It is expected that by 2020, at least 50% of manufacturers with annual revenues exceeding 1 billion yuan will launch at least one digital twin project for their products or assets.
Create precise big data closed loop
In recent years, industrial big data has begun to be valued by enterprises. Using big data can tap those hidden customer values and help companies complete the transformation of time-limited customer needs, production systems, business models, and decision-making models. Big data can help companies achieve 1 from 0, then N from 1 and 1 from N (personalization).
To achieve such a model, companies need to build a closed loop of accurate data flow from the acquisition, analysis, transformation, and feedback.
More Internet companies enter smart manufacturing
Internet companies have entered the industrial field, that is, "Internet + Intelligent Manufacturing" has achieved initial results. Alibaba Cloud and Siemens announced a formal entry into the Industrial Internet of Things. At the same time, Baidu Smart Factory and JD Smart Supply Chain are building their own intelligent manufacturing industry.
Internet companies have long-term data accumulation and technological advantages. After entering the industrial field, they can bring more technical application scenarios to traditional manufacturing enterprises and accelerate the transformation of enterprise intelligent manufacturing.
User needs will guide business transformation
智能制造将会改变传统制造从生产环节降低成本增效，进而转向提供高附加值的衍生服务， 从提供智能产品到智能服务实现附加值提升。 The industrial development process is shifting from enterprise products to user needs to user needs to lead enterprise production. Intelligent manufacturing will change traditional manufacturing from reducing production costs and increasing efficiency, and then to providing high value-added derivative services, from providing intelligent products to intelligent services Achieve added value enhancement.
Industry-level industrial Internet platform will be the first to explore a market-based business model
Due to the limited depth of the general-purpose industry platform, the market supply and demand do not match, making enterprises not willing to go to the cloud, and a mature marketization model has not yet been explored.
Due to the dual characteristics of focusing and pervasiveness of industrial-level industrial Internet platforms, facing the different needs of various industries in intelligent manufacturing, it is expected to be the first to explore a feasible market-based business model.
Focus on industries such as smart manufacturing solutions
Due to the late start of domestic intelligent manufacturing, the mining and training of talents and financial pressure are the biggest problems facing enterprises. If intelligent manufacturing is cut from several development directions, perhaps only large enterprises can afford it.
If the small and medium-sized enterprises in-depth research from the sub-fields such as intelligent manufacturing systems will be expected to become unicorns.
The field of ultra-high value-added manufacturing will become the best entry point for additive manufacturing in the industrial field
The application of additive manufacturing technology in desktop-level applications and simple processes in large-scale scenarios does not have cost advantages.In the field of ultra-high value-added and ultra-large customized single product manufacturing, such as engines, wind turbine blades, and submarine propellers, may Bring opportunities to additive manufacturing in the industrial sector in 2019.