China sets 2030 target for stronger industrial foundations, with 22 tasks across manufacturing

A plan for the parts that keep factories running

China has set a 2030 goal of bringing its industrial foundation capabilities to internationally advanced levels, with eight government bodies releasing a plan covering 22 tasks on October 22, 2026. The measures reach from electronic components and industrial software to artificial intelligence, testing platforms and the purchasing decisions that help new products enter factories.

The Industrial Foundation Capability Improvement Plan for the 15th Five Year Plan period carries document number 工信部联规〔2026〕208号 and is dated September 1, 2026. Its public release gives manufacturers, investors and local governments a shared timetable for strengthening the basic technologies and products behind more complex equipment.

The Ministry of Industry and Information Technology is leading the initiative alongside the National Development and Reform Commission, the ministries of education, finance and human resources, the State Council body overseeing state assets, the market regulation administration and the defense science and technology administration.

The central idea is to connect research with actual use. China wants to address existing weaknesses, strengthen areas where it already has advantages and prepare the components needed by emerging industries before those industries expand.

The plan builds on progress during the preceding planning period. According to the industry ministry, more than 200 key basic products achieved breakthroughs in engineering development and industrial production during the 14th Five Year Plan period. The new program seeks to turn such advances into a broader improvement in reliability, quality and supply security.

For an equipment maker, that could mean access to a more dependable component or software supplier. For a smaller technology company, it could mean better testing facilities and a clearer route to its first industrial customer.

Why small components carry large risks

Industrial foundations include basic mechanical parts, electronic components, materials, software, manufacturing processes and the technical services that support production. Skilled workers, market conditions and public policy are also part of the picture because a product needs people, customers and investment to reach commercial use.

The industry ministry describes many basic products as small, scattered and hidden. Individual markets can be narrow, and a component may account for only a small part of an entire machine's value. Suppliers are spread across many stages of production, while their products are often buried inside equipment that customers see only as a finished whole.

A missing component can nevertheless interrupt the manufacture of much larger machinery. The practical issue is whether manufacturers can obtain the right part, at the required quality, when they need it.

Zhou Ji, an academician of the Chinese Academy of Engineering, identified the central weakness as a mismatch between the scale of production and the strength of its capabilities.

"The most critical issue is that China's industrial foundation is large but not strong," said Zhou.

Zhou pointed to an oversupply of products at the lower end of the market and a shortage of more advanced products. He identified integrated circuits and industrial software as areas where vulnerabilities and risks persist. That diagnosis helps explain why the plan focuses on technical capability and quality alongside the availability of supplies.

What China wants to achieve by 2030

The plan organizes its ambitions around one broad goal and four supporting objectives. By 2030, weaknesses in the industrial foundation should be substantially reduced, with stronger innovation, greater control over critical capabilities and a better supply of quality products.

The four supporting objectives concern product quality, key products and brands, specialist manufacturers, and mechanisms for sustained investment. The government wants basic products capable of driving innovation in complete machines, rather than simply fitting into designs developed elsewhere.

China also aims to cultivate more manufacturing companies that lead particular product categories and more specialized smaller enterprises known as "little giants." These are businesses recognized for focused expertise and innovation in particular markets. The plan gives no numerical target for either group, using the qualitative goal of developing a new cohort.

The 22 tasks fall into seven areas: greater control over critical capabilities, stronger innovation, better technical infrastructure, higher quality, more competitive enterprises, wider use of basic products and a better environment for industrial development.

Several dates frame the program:

• September 1, 2026: The date carried by the planning document.
• October 20, 2026: Industry ministry chief engineer Wang Weiming outlined priorities for a new generation of intelligent manufacturing.
• October 22, 2026: The eight government bodies publicly released the plan.
• 2030: The target year for substantially reducing weaknesses and reaching internationally advanced industrial foundation capabilities.

Preparing the foundations of future industries

Quantum technology, biological manufacturing, hydrogen and nuclear fusion energy, interfaces connecting brains and computers, embodied intelligence and sixth generation mobile communications all appear in the plan's forward research agenda. It also covers technologies for deep space, deep sea, deep underground and polar activities.

Embodied intelligence refers to AI operating through a physical machine, such as a robot that senses its surroundings and acts on them. Such systems depend on physical components and manufacturing methods as well as software.

Li Zhiqi, a special researcher with the Beijing municipal government counselors' office and deputy director of the Beijing political advisory body's economic committee, interprets the approach as preparing basic capabilities ahead of demand. His concern is that complete machines could develop faster than the components, materials and software needed to support them.

The plan therefore connects future research tasks to intended uses. Instead of waiting for a new industry to encounter a shortage, the aim is to identify its foundational requirements early. For suppliers, this creates a research agenda that stretches beyond replacing today's unavailable products to developing the building blocks of tomorrow's equipment.

AI moves into product design and factory decisions

Artificial intelligence has two roles in the plan: helping companies develop and manufacture products, and becoming part of the products themselves. The document calls for both general purpose models and models tailored to particular industrial sectors.

It proposes combining knowledge of how industrial processes work with AI systems that make decisions and carry out tasks. The goal is to develop basic products designed around intelligence from the beginning, with sensing, decision making and action connected within their architecture.

Li describes this as a change in what manufacturers may expect from a component. Precision, service life and reliability remain central, while the ability to respond to changing operating conditions becomes another part of its value.

The plan also names model as a service and agent as a service as business models to develop. In simple terms, a customer could obtain access to an AI model or a system that performs defined tasks as an ongoing service, rather than building every capability internally.

Across factories, the proposed uses cover research, design simulation, pilot validation and production operations. Simulation allows engineers to test a design digitally; pilot validation checks how a process or product performs before wider production.

On October 20, Wang Weiming, the industry ministry's chief engineer, outlined four priorities: developing intelligent factories at different levels of capability, advancing intelligent equipment, accelerating research and practical use of intelligent technologies, and deepening international cooperation in intelligent manufacturing.

The plan also calls for an industrial data foundation initiative and cooperative groups working with data. Those measures sit alongside the AI agenda, providing a way for companies to build the data resources needed for industrial applications.

Getting a new product into its first factory

Pilot platforms are a key bridge between invention and production. The plan proposes facilities offering engineering development, design verification, process improvement, performance testing, sample production and work to make processes operate reliably at a larger scale.

These services address a practical difficulty: a promising laboratory result still needs to become something that can be manufactured repeatedly and used by a customer. The plan also supports early trials of products whose designs have yet to be finalized.

Purchasing policy is another part of that bridge. The measures include improving support for the first deployment of equipment, the first batch of materials and the first version of software. An innovation promotion catalog and coordinated application programs are intended to connect suppliers with users.

The plan calls for a mechanism allowing room for failure when companies purchase and use innovative products. That addresses the risk facing a customer asked to try something unfamiliar: the supplier needs operational experience, while the buyer needs dependable performance.

The National Development and Reform Commission has separately introduced a first group of 136 major application scenario projects. These organize opportunities around actual demand, responsible participants and defined objectives. Commission spokesperson Li Chao described a broader policy shift toward creating opportunities, operating environments and rules alongside the provision of industrial parks and resources.

Specialist suppliers and industrial clusters

State owned enterprises are expected to open research and supply chain resources to supporting companies. The plan also promotes cooperation among large, medium and small businesses, alongside digital upgrades, lower carbon processes and equipment that uses less energy.

Li Feng, deputy secretary general of the China Electronic Components Association, identified highly reliable components, operation at high frequencies and speeds, and smaller integrated designs as research priorities. He linked demand to AI, aerospace, new energy, embodied intelligence and newer communications technologies.

Industrial clusters provide an existing network through which suppliers can cooperate. China has 80 national advanced manufacturing clusters across 26 provincial level jurisdictions, covering fields including advanced equipment, information technology, new materials and intelligent connected new energy vehicles.

Those clusters bring together more than 1,700 national innovation bodies and more than 3,000 public service platforms. Dividing the totals by 80 gives averages of more than 21 innovation bodies and more than 37 service platforms per cluster, although their actual distribution varies.

The plan asks advanced manufacturing clusters and national high technology zones to cooperate on research and early use of basic products. Wang's approach differentiates between mature clusters with international strengths and clusters still growing, while calling for more sharing of resources across regions and industries.

Funding, skills and foreign participation

Sustained investment is one of the plan's four supporting objectives. Proposed tools include tax incentives for science and technology, platforms linking industry with finance, and measures intended to draw more private capital into industrial foundations.

Li Zhiqi argues that these technologies often require long development periods and uncertain returns. In his assessment, the test is whether financing arrangements can support continued work, rather than a succession of brief projects. He also argues that allowing room for failure in innovative purchasing needs to be reflected in performance assessment, auditing and state asset supervision.

Universities are expected to adjust engineering disciplines, while policy supports the development of engineers, skilled technicians and advanced craft workers. That links the research agenda to the people needed to design products, refine manufacturing processes and operate equipment.

Foreign participation remains part of the program. The plan encourages foreign companies to establish advanced research centers and production bases in China's industrial foundation sectors, alongside efforts to help Chinese basic products reach overseas markets.

How implementation will be assessed

The industry ministry is to work with the other participating bodies on annual implementation plans. The oversight framework includes continuing monitoring, an assessment during implementation and a final evaluation, with coordination between central and local authorities.

A proposed industrial foundation competitiveness survey would help establish a more detailed picture of capabilities. Innovation platforms, testing services and industry organizations are also expected to support implementation.

The plan connects three practical problems: developing a capable product, finding a customer willing to use it and sustaining investment while it improves. Its effect on manufacturers will depend on how those links work together. Better components need reliable testing; new suppliers need access to buyers; and both need support that lasts through repeated development cycles.

Key Points

• Eight Chinese government bodies released the industrial foundation plan on October 22, 2026, with a target year of 2030.
• The program sets out 22 tasks across seven areas, including innovation, quality, supply capabilities and wider industrial use.
• Research priorities include AI, quantum technology, biological manufacturing, fusion energy, embodied intelligence and 6G.
• Pilot platforms and purchasing policies aim to help new products move from development into factory use.
• Funding, engineering skills, industrial clusters and foreign investment form part of the implementation agenda.
• Annual implementation plans, continuing monitoring and staged evaluations are intended to track progress.