Analysis Report on the Development Trends of the 2D Machine Vision Industry:

I. Industry Development Process and Achievements

Since its inception in the 1980s, as a core technology of industrial automation, 2D machine vision has undergone a transformation from a laboratory technology to a core industrial tool, laying a solid foundation for modern intelligent manufacturing. It has experienced a leapfrog development from basic inspection to intelligence. In the early days, represented by photoelectric sensors, 2D vision technology was mainly applied to basic inspection tasks (such as defect identification of printed circuit boards and QR code reading), and gradually evolved into high-precision and high-reliability 2D vision solutions, which are widely used in the electronics, automotive, semiconductor and other fields. With the improvement of computer processing power and algorithms, the industry has gradually formed standardized interfaces such as GigE Vision and USB3 Vision, reducing the threshold for system integration. According to statistics, over the past decade, the market scale of China's 2D machine vision has continued to expand, and it is predicted to reach 20 billion yuan in 2025, which is more than four times higher than that in 2015, with an average annual compound growth rate of over 16%, reflecting the stable growth of the industry in the process of technological iteration and industrial upgrading.

Especially in the manufacturing fields of consumer electronics, lithium batteries, etc., 2D vision, with the advantages of low cost and high precision, has become a necessary facility for quality control on production lines. Compared with manual inspection, it has significantly improved production efficiency and product consistency. In addition, the decrease in hardware costs (such as industrial cameras, lenses, and light sources) and the popularization of open-source vision libraries (such as OpenCV) have promoted the penetration of technology from high-end manufacturing to small and medium-sized enterprises, and the industry penetration rate has increased significantly.

The innovation and rise of domestic enterprises are important milestones in the development of the industry. Under the policy of 'Made in China 2025', domestic local manufacturers have gradually broken the monopoly of foreign capital through technological innovation and localized services. According to statistics, the shipment volume of domestic enterprises currently accounts for more than 80% of the market, especially in the cost-effective advantages in the low- and medium-end markets. At the same time, domestic algorithm software technology has also made breakthroughs, laying a foundation for the industry's self-control. Especially in the fields of automobile manufacturing, electronics industry, etc., the 2D vision system has replaced manual inspection, with an efficiency increase of more than 50%, and the product consistency has reached over 99.9%, becoming a core tool for industrial automation upgrades and establishing the dominant position of 2D machine vision in the overall machine vision market.

II. Industry Status Quo and Core Drivers

Currently, the 2D machine vision industry has entered a period of steady growth, with more diversified application scenarios, and the technical maturity and market demand form a two-way drive. In recent years, driven by the expansion demand in the fields of new energy, logistics and warehousing, etc., the market scale of China's machine vision is expected to exceed 25 billion yuan, among which 2D vision accounts for more than 70%. Although 3D vision has grown rapidly in recent years, 2D machine vision technology, with its mature industry and cost advantages, remains the mainstream choice for automation.

We believe that the core drivers of 2D in the future mainly come from three aspects:

1. Policy and Industrial Support: 'Made in China 2025' promotes the intelligent transformation of the manufacturing industry. As the 'eye of industry', machine vision has become a necessary requirement for the construction of intelligent factories.

2. Technological Integration and Innovation: Under the intelligence of AI + deep learning, the detection accuracy in complex scenarios (such as fuzzy target recognition and texture analysis) has been significantly improved, and the false detection rate has been reduced to below 0.1%. In addition, the introduction of technologies such as 5G + edge computing has expanded the application scenarios from static inspection to dynamic guidance, and achieved the coexistence of accurate recognition and real-time performance in complex scenarios.

3. Downstream Application Expansion: The application fields are booming in an all-round way. Although traditional fields such as electronics manufacturing, automobiles, and semiconductors still contribute more than 60%, 2D vision is accelerating its penetration into emerging scenarios such as medical care, food packaging, and intelligent logistics, driving the industry to grow by 20% annually, and the market space continues to expand.

III. Future Development Trends and Opportunities

1. Deep Technological Integration:

Empowerment by AI Large Models: The development of general-purpose vision large models will promote the upgrade of 2D vision from single detection to integration of 'perception + decision-making', enabling adaptation to more complex tasks. The combination of 2D and 3D vision will break through the limitations of planar detection and enhance the recognition ability of complex objects.

Multimodal Collaboration: Few-shot learning technology reduces the cost of data annotation and adapts to the production needs of small-batch customized products, which can balance the needs of cost and depth information.

2. Deepening of Application Scenarios:

Intelligent Manufacturing Field: The development in fields such as the expansion of global wafer production capacity and the iteration of lithium battery technology will continuously promote the growth of the machine vision industry. In addition, the characteristics of 2D machine vision, such as being used in small-batch production lines and being adaptable to personalization, should not be ignored.

Breakthroughs in Emerging Fields: In emerging fields such as medical image analysis and smart agriculture, the lightweight deployment capability of 2D vision is expected to open up new markets.

3. Global Market Integration Layout:

**Domestic enterprises will further consolidate their dominant position in the low- and medium-end markets and gradually penetrate into high-value-added fields with the advantage of high cost-effectiveness.

o **The construction of a closed-loop supply chain, with collaborative innovation throughout the entire chain of upstream (optical components, sensors), midstream (system integration), and downstream (application services), forms a technological closed loop and cost advantages. Domestic 2D vision solutions are expected to replicate the domestic success experience in Southeast Asia, Europe and other places in the future.

IV. Conclusion

The 2D machine vision industry is standing at the dual junctures of technological innovation and industrial upgrading. Although facing the competitive pressure from 3D vision, the 2D machine vision industry, after years of technological accumulation and market verification, especially with its advantages in cost, flexibility, and maturity, will still be one of the core technologies of industrial automation in the foreseeable future. With the in-depth application of technologies such as AI empowerment and edge computing, 2D machine vision is expected to play a more important role in the wave of intelligent manufacturing!