1. Industry Background and Challenge Analysis
1.1 Industrialization Challenges in the Pre-prepared Dish Industry
The pre-prepared dish industry is experiencing explosive growth, with the scale of China’s catering market expected to exceed 67 trillion yuan by 2025, and the penetration rate of pre-prepared ingredients has surpassed 30%. However, this rapidly developing industry faces serious “industrialization challenges“. Pre-prepared dish companies need to prepare ingredients and standardize processing, but industrial production brings a series of challenges:
Low Production Efficiency: Traditional pre-prepared dish production heavily relies on manual operations, leading to low efficiency. According to industry data, the waste rate for manual packaging is as high as 5%, resulting in annual losses exceeding one million yuan. A certain crayfish pre-prepared dish factory, using traditional production methods, had a single line daily capacity of less than 10,000 boxes, making it difficult to meet market demand.
Severe Product Homogeneity: Pre-prepared dish products are severely homogeneous, making it difficult for companies to form differentiated advantages. This leads to market competition primarily focused on price, compressing the profit margins of companies.
Contradiction Between Standardization and Personalization: Consumer demand for pre-prepared dishes is becoming increasingly diverse, while industrial production emphasizes standardization, which restricts industry development. Data shows that by 2025, consumer demand in the pre-prepared dish market will show characteristics such as a pursuit of convenience and health, a balance between quality and taste, and an emphasis on brand and packaging.
Increased Cost Pressure: Pre-prepared dish companies face multiple pressures from raw material costs, labor costs, and transportation costs. Especially in recent years, the rise in raw material prices has further increased company costs. In March 2024, the State Administration for Market Regulation and six other departments jointly issued a notice, clearly defining the scope of pre-prepared dishes for the first time and promoting the construction of its standard system, which further increased compliance costs for companies.
Food Safety Risks: As consumer awareness of food safety increases, pre-prepared dish companies face greater pressure for quality control. Reports indicate that after many campuses launched pre-prepared dishes in 2025, quality issues arose, leading the Ministry of Education to explicitly prohibit unsuitable products from entering campuses, exacerbating consumer resistance.
1.2 Template Challenges in Industrial Automation
The industrial automation industry also faces challenges similar to the “pre-prepared dish dilemma“, especially regarding templating and homogeneity issues:
Intensified Homogeneous Competition: In 2025, the industrial control industry will present a “two extremes” pattern: Traditional equipment (PLC, frequency converters) face growth pressure due to homogeneity and slowing demand, while emerging fields (workstations, smart industrial control screens) become key to breakthroughs. Domestic manufacturers mainly rely on cost-effectiveness and customized services, with low technical barriers leading to severe product homogeneity, especially in small and medium-sized projects where competition is fierce.
Insufficient Technological Innovation: Although automation production technology has been applied in the pre-prepared dish industry, there is still a certain gap in industrial automation technology in China compared to developed countries. Insufficient technological innovation leads to low production efficiency and unstable product quality.
Fixed Application Scenarios: Industrial automation systems are often developed based on specific application scenarios, lacking flexibility and scalability. The equipment update cycle for small and medium-sized enterprises has extended to 7-9 years, limiting the application of new technologies.
Talent Shortage Issues: The industrial automation industry faces a serious talent shortage. The gap for composite engineers exceeds 500,000, with cross-disciplinary talents who understand both processes and AI being particularly scarce.
Insufficient System Integration Capability: Due to a lack of professional talent and experience, companies face many difficulties in the system integration process, leading to unstable system operation and difficulty in achieving expected results.
2. Analysis of Similarities and Differences Between Industrial Automation and Pre-prepared Dishes
2.1 Common Points: Standardized Production and Template Applications
There are astonishing similarities in production modes between industrial automation and the pre-prepared dish industry:
Standardization of Preliminary Preparation Work: Industrial automation requires programming and designing interfaces, while pre-prepared dishes require ingredient preparation; both emphasize the standardization of preliminary preparation work. This standardization is the foundation for large-scale production but may also limit innovation and flexibility.
Template Production Processes: Both industrial automation and pre-prepared dishes adopt template production processes. Industrial automation achieves automated control through standardized programming, while pre-prepared dishes ensure product consistency through standardized recipes and processes. This templating improves production efficiency but may also lead to product homogeneity.
Characteristics of Batch Production: Both have the characteristics of batch production. Industrial automation systems are usually deployed in similar production scenarios, while pre-prepared dishes are produced in batches of the same or similar dishes. Batch production helps reduce costs but may also overlook personalized needs.
Balancing Efficiency and Cost: Both industrial automation and the pre-prepared dish industry seek a balance between efficiency and cost. Industrial automation reduces labor costs by improving equipment efficiency, while pre-prepared dishes lower costs through batch production and reduce dining wait times..
2.2 Differences: Technical Paths and Application Scenarios
Despite the similarities, there are significant differences between industrial automation and the pre-prepared dish industry in several aspects:
Different Technical Complexities: Industrial automation involves complex control systems, communication protocols, and algorithm development, with a higher technical threshold. In contrast, the technology in pre-prepared dishes mainly focuses on food processing, preservation, and packaging, with relatively lower technical complexity.
Different Product Characteristics: Industrial automation products are usually customized solutions emphasizing stability and reliability; pre-prepared dishes are standardized consumer goods, focusing more on taste, nutrition, and convenience.
Different Application Scenarios: Industrial automation is mainly applied in industrial production environments, such as manufacturing, energy, and transportation; pre-prepared dishes are primarily applied in catering services and home consumption scenarios.
Different Industry Regulations: Industrial automation is regulated by industrial standards and safety regulations, while pre-prepared dishes are regulated by food safety laws and quality standards. In September 2025, the draft of the “National Standard for Food Safety of Pre-prepared Dishes” led by the National Health Commission has quietly passed expert review and will soon be open for public consultation.
Different Talent Demands: Industrial automation requires professionals with skills in automation control, software development, and system integration; the pre-prepared dish industry requires professionals in food science, nutrition, and food processing.
3. Empowering Industrial Automation and the Pre-prepared Dish Industry with AI and Robotics
3.1 AI and Robotics Empowering Industrial Automation
AI and robotics technologies are providing breakthrough solutions for the industrial automation industry to solve the “pre-prepared dish dilemma” :
Upgrading Intelligent Production Lines: AI technology can be applied in various aspects of the industrial control industry, such as equipment control, production scheduling, and supply chain management. By introducing AI, factories can achieve intelligence and automation, improving production efficiency and reducing production costs.
Predictive Maintenance Applications: AI technology can monitor equipment operating status in real-time, predict equipment failures, and achieve preventive maintenance, reducing equipment downtime and improving equipment utilization. In automotive manufacturing workshops, edge AI vibration sensors, through machine learning models, can provide a three-day early warning for bearing wear, reducing unplanned downtime by 70%.
Flexible Manufacturing Systems: In response to personalized demands, modular robotic workstations have become mainstream. Fanuc has launched a “plug-and-play” production line module that supports production line reconstruction within 72 hours, achieving mixed-flow production of multiple varieties.
Digital Twin Technology: Digital twin technology has evolved from L3 to L4 level, achieving a 40% increase in virtual debugging efficiency. By importing real data into simulation models, companies can conduct millisecond-level verification for production line transformations and process optimizations. In the control room of Tesla’s Shanghai Gigafactory, a huge screen displays a virtual model that is completely synchronized with the offline production line, allowing engineers to test new process parameters in virtual space with a click of the mouse.
Edge Computing Empowerment: The combination of 5G private networks and edge AI chips has reduced data processing latency at the device end to milliseconds. Schneider Electric has deployed 50 “digital twin centers” globally, achieving collaborative optimization of factories worldwide through edge computing.
3.2 AI and Robotics Empowering the Pre-prepared Dish Industry
Similarly, AI and robotics technologies also provide solutions for the pre-prepared dish industry to break through challenges:
Automated Production Line Applications: The intelligent manufacturing technology of the pre-prepared dish industry involves multiple fields, including automated production lines, intelligent logistics systems, and intelligent packaging. Some pre-prepared dish companies have begun to apply automated production technology, but the overall application level is not high, and the industry’s overall automation level needs improvement.
Robots Replacing Manual Labor: In the production process of pre-prepared dishes, robots can undertake repetitive tasks such as handling and sorting, improving work efficiency and reducing labor intensity. For example, the Atongmu robot has customized a dual-line parallel solution for a leading pickled vegetable company, reducing the need for four manual workers per line, saving over 5 million yuan in labor costs annually across eight production lines.
Intelligent Control Systems: Through intelligent control systems, the production process can be monitored and adjusted in real-time, ensuring stable production quality. Fully automatic aluminum foil box filling machines achieve fully unmanned operation through a three-in-one intelligent system (automatic forming → precise filling → vacuum sealing), with a rapid capacity of 10 seconds per box, achieving a daily output of over 30,000 boxes with a filling accuracy of ±1g, ensuring consistent weight for each product.
Intelligent Logistics and Warehousing: Intelligent logistics and warehousing systems achieve efficient storage and rapid distribution of pre-prepared dish raw materials, semi-finished products, and finished products through automated handling equipment and shelf management systems. The system uses RFID (Radio Frequency Identification) and barcode technology to track item locations in real-time, improving logistics efficiency and reducing human errors.
Big Data Analysis Applications: Information integration and management platforms are key to achieving coordinated operation of intelligent pre-prepared dish production lines, integrating systems such as ERP (Enterprise Resource Planning) and MES (Manufacturing Execution System) to enable real-time sharing of information related to production, logistics, and sales. The platform uses big data analysis and cloud computing technology to analyze production data, supporting production decision-making, optimizing production processes, and reducing costs.
3.3 Comparative Analysis of Technical Empowerment Effects
|
Application Field |
Efficiency of Traditional Mode |
Efficiency After Intelligent Upgrade |
Improvement Rate |
Typical Case |
|
Maintenance of Industrial Automation Equipment |
Post-failure Repair |
Predictive Maintenance |
Unplanned Downtime Reduced by 70% |
Edge AI Vibration Sensors in Automotive Manufacturing Workshops |
|
Reconstruction of Industrial Automation Production Lines |
More than 3 days |
Within 72 hours |
Efficiency Improvement of 75% |
Fanuc’s “Plug-and-Play” Production Line Module |
|
Packaging Stage of Pre-prepared Dishes |
Daily Capacity of Less than 10,000 Boxes |
Daily Capacity of Over 30,000 Boxes |
Capacity Improvement of 200% |
Fully Automatic Aluminum Foil Box Filling Machine |
|
Boxing Stage of Pre-prepared Dishes |
Manual Error Rate of 5% |
Error Rate of 0.2% |
Consistency Improved to 99.8% |
Automation Solution for a Leading Pickled Vegetable Company |
|
Labor Costs in Pre-prepared Dish Production |
Requires 4 Manual Workers per Line |
Reduced by 4 Manual Workers per Line |
Labor Cost Savings of 100% |
Automation Solution for a Leading Pickled Vegetable Company |
4. Industry Trend Predictions and Solutions
4.1 Development Trends in the Industrial Automation Industry
The future development of the industrial automation industry will present the following trends:
Deep Integration of AI and Automation: According to predictions from the China Research Institute of Industry, the scale of China’s industrial automation market is expected to exceed 322.5 billion yuan by 2025, while the global market is expected to reach trillions of dollars. The core driving force behind this growth comes from the deep integration of AI technology with automation systems, pushing production processes from “efficiency optimization” to “intelligent decision-making“.
Widespread Adoption of Digital Twin Technology: Digital twin technology will evolve from a single device “mirror” to a cross-enterprise “ecosystem”. Imagine: automotive manufacturers, parts suppliers, and logistics providers jointly maintaining a shared digital twin, rehearsing the entire process from order confirmation to product offline in virtual space—this collaborative efficiency enhancement will redefine the industrial value chain.
Combination of Edge Computing and AI: Edge computing, as an emerging computing model, will help apply AI technology in the industrial control industry. By deploying AI models at the device end, real-time decision-making and control can be achieved, reducing reliance on the cloud.
Promotion of Unified Industrial Protocols: The emergence of OPC UA over TSN is like inventing a “Esperanto” for industrial devices—it not only supports real-time data transmission but also ensures that devices from different manufacturers synchronize actions with microsecond precision. The combination of MQTT+Sparkplug B creates a “high-speed channel” for lightweight communication scenarios.
Green Manufacturing and Sustainable Development: AI technology will help achieve green manufacturing, reducing energy consumption and environmental pollution. By optimizing production processes and improving resource utilization, it will promote the sustainable development of high-end manufacturing industries.
4.2 Development Trends in the Pre-prepared Dish Industry
The future development of the pre-prepared dish industry will present the following trends:
Accelerated Promotion of Intelligent Manufacturing: The intelligent manufacturing technology of the pre-prepared dish industry involves multiple fields, and the industry standards are not yet unified, causing difficulties in production and management for companies. In the future, as technology matures and standards improve, the intelligent manufacturing level of the pre-prepared dish industry will significantly increase.
Intelligent Upgrading of Supply Chains: The pre-prepared dish industry will deeply integrate with supply chain management, achieving intelligent, visualized, and collaborative supply chains. Data shows that in recent years, food companies that actively adapt to digital transformation trends and adopt automated equipment have seen average production efficiency increase by 50%-70%, labor costs decrease by 50%-80%, and defect rates drop from 1.2% to below 0.3%, achieving dual breakthroughs in “labor efficiency replacement” and “precise control” energy efficiency.
Increased Demand for Personalized Customization: With the increasing diversity of consumer demands for food and beverages, industrial automation will pay more attention to providing flexible production and customized solutions. In 2023, the global flexible manufacturing system market size in the food and beverage industry reached 12.7 billion USD, with a compound annual growth rate of 14.7%, of which the Asia-Pacific region contributed over 42%.
Green Development Becomes Inevitable: Driven by the “dual carbon” goals, industrial automation will pay more attention to energy conservation, emission reduction, and promote green development in the industry. Fully automatic aluminum foil box filling machines reduce carbon footprints through energy-saving modules (standby power consumption <0.5kW/h, saving 40% compared to similar equipment) and waste recycling systems (automatically collecting and reprocessing stamped edge scraps, achieving a material utilization rate of 98%).
Collaborative Development of the Industry Chain: Intelligent manufacturing and automated production lines in the pre-prepared dish industry will promote collaborative development of the industry chain. In the future, pre-prepared dish companies will establish closer collaborative relationships with upstream raw material suppliers, downstream catering enterprises, and consumers.
4.3 Cross-industry Integration Solutions
Based on the commonalities and differences between the industrial automation and pre-prepared dish industries, we propose the following cross-industry integration solutions:
Promotion of Modular Design Concepts: Introduce the modular design concept from industrial automation into pre-prepared dish production lines, making production lines flexible and scalable to adapt to different product production needs. In fine chemical production, modular controllers successfully reduced DCS system downtime from 4 hours to 15 minutes through redundant design and real-time fault diagnosis.
Formulation of Digital Transformation Roadmaps: Drawing on the digital transformation experience of the industrial automation industry, formulate systematic digital transformation roadmaps for pre-prepared dish companies, including the construction of automated production lines, deployment of intelligent logistics systems, and establishment of big data analysis platforms.
Talent Cultivation and Knowledge Transfer: Strengthen talent exchange and knowledge sharing between the industrial automation and pre-prepared dish industries, cultivating composite talents with cross-domain knowledge. Companies should strengthen talent training and recruitment efforts, cultivating and attracting a group of high-quality industrial automation professionals to support industry development.
Construction of Industry Standard Systems: Drawing on the standardization experience of the industrial automation industry, accelerate the construction of standard systems in the pre-prepared dish industry to promote standardized development. In March 2024, the State Administration for Market Regulation and six other departments jointly issued a notice, clearly defining the scope of pre-prepared dishes for the first time and promoting the construction of its standard system.
Policy Support and Guidance: The government should strengthen policy support and guidance for the industrial automation and pre-prepared dish industries, introducing relevant policy measures to promote healthy industry development. The National Development and Reform Commission’s “Intelligent Manufacturing Development Plan” clearly proposes a maximum financial subsidy of 15% for the intelligent transformation of the food industry, with local government supporting policies continuously increasing.
5. Investment Opportunities and Recommendations
5.1 Investment Opportunities in the Industrial Automation Field
Investment opportunities in the industrial automation field are mainly concentrated in the following directions:
AI and Automation Integration Technologies: By 2025, the scale of China’s industrial automation market is expected to exceed 350 billion yuan, with a compound annual growth rate remaining above 12%. The core driving force behind this growth comes from the urgent demand for intelligent upgrades in the manufacturing industry. Investors can focus on companies with technological advantages in the field of AI and automation integration.
Applications of Digital Twin Technology: Digital twin technology, as a key technology of Industry 4.0, has broad market prospects. Investors can focus on companies with core competitiveness in the research and application of digital twin technology.
Edge Computing and Industrial IoT: The combination of 5G private networks and edge AI chips has reduced data processing latency at the device end to milliseconds, making this field highly valuable for investment.
Localization of Industrial Software: Reports indicate that while Chinese manufacturers have gradually made breakthroughs in hardware (such as PLCs and servos), the localization rate of high-frequency industrial software (such as PLM, APC, and MES) remains low, which is a pressing shortcoming. Investors can focus on innovative companies in the localization of industrial software.
Localization of Core Components: In 2023, the market size of China’s servo motor reached 24.26 billion yuan, with over 65% of high-end products relying on imports. By 2025, the self-sufficiency rate of core industrial software is expected to increase to 50%, and the self-sufficiency rate of key components is expected to exceed 70%. Investors can focus on companies that have made breakthroughs in the localization of core components.
5.2 Investment Opportunities in the Pre-prepared Dish Field
Investment opportunities in the pre-prepared dish field are mainly concentrated in the following directions:
Intelligent Manufacturing Equipment for Pre-prepared Dishes: Fully automatic pre-prepared dish processing equipment integrates advanced technologies such as cutting, mixing, and packaging, achieving a fully automated process from raw material handling to finished product delivery. These devices not only significantly improve production efficiency but also ensure food quality and safety. Investors can focus on companies engaged in the research and production of intelligent manufacturing equipment for pre-prepared dishes.
Intelligent Detection and Quality Control: Pre-prepared dish companies need to establish a comprehensive detection system to conduct quality and hygiene inspections on pre-prepared dishes, ensuring food safety and hygiene. Investors can focus on innovative companies in food intelligent detection equipment and systems.
Cold Chain Logistics and Warehousing Technologies: Cold chain logistics is a key link in the development of the pre-prepared dish industry. A leading cold chain integrator delivered automated projects in 2023, achieving an average energy consumption reduction of 22%, and order processing efficiency increased by 3.8 times, expanding SKU management capacity to 4.2 times that of traditional warehouses. Investors can focus on innovative companies in cold chain logistics technology.
Personalized Customization of Pre-prepared Dishes: With the diversification of consumer demands, personalized custom pre-prepared dishes will become a new growth point in the market. In 2023, the global flexible manufacturing system market size in the food and beverage industry reached 12.7 billion USD, with a compound annual growth rate of 14.7%. Investors can focus on companies with innovative capabilities in the field of personalized custom pre-prepared dishes.
Green Packaging Materials: Policies regarding the recyclability of food packaging are becoming increasingly strict, and the 100% recyclability of aluminum foil boxes has become key for factories to meet ESG standards. Investors can focus on companies engaged in the research and production of environmentally friendly packaging materials.
5.3 Cross-industry Investment Strategy Recommendations
For investments in the industrial automation and pre-prepared dish industries, we propose the following strategic recommendations:
Investment in Industry Chain Integration: Focus on investment opportunities that can integrate the industrial automation and pre-prepared dish industry chains, such as system integrators providing overall solutions or technology companies developing cross-industry application platforms.
Investment in Technology Integration Enterprises: Look for technology companies with cross-industry application capabilities in AI, robotics, big data, etc., as these companies can provide innovative solutions for the industrial automation and pre-prepared dish industries.
Investment in Regional Industry Clusters: Focus on investment opportunities in core industrial belts such as Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing, as these regions typically have complete industrial chains and rich talent resources.
Investment in Policy-supported Areas: Closely monitor government policy directions and focus on investing in areas supported by policies, such as intelligent manufacturing, green manufacturing, and food safety.
Risk Investment and Merger Strategies: For investments in the industrial automation and pre-prepared dish industries, a strategy combining risk investment and mergers can be adopted, investing in startups with innovative technologies while also focusing on merger and restructuring opportunities within the industry for rapid layout.
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