The market price of organic fertilizer granualtors is influenced by multiple factors, primarily the performance of the organic fertilizer equipment, its cost structure, and market supply and demand. Specifically, it can be analyzed from the following aspects:

First, the equipment's configuration and performance form the basis of pricing. Different types of granulators (such as disc granulators, rotary drum granulators, and double roller press granualtors) have significant price differences due to variations in structural design and technological complexity.

Second, production costs and brand premiums directly affect pricing. Production costs include raw materials (steel, motors, control systems, etc.), processing and manufacturing (welding, assembly, debugging, etc.), and R&D investment (new model design, energy-saving technology breakthroughs). Fluctuations in raw material prices (such as rising steel prices) directly increase costs, thus affecting the final selling price. Meanwhile, well-known brands, with their mature technology, stable quality, and comprehensive after-sales service, often command a brand premium, with prices 10% to 20% higher than smaller brands, but enjoying higher user recognition.

Furthermore, market supply and demand, along with application scenarios, adjust price elasticity. When the green transformation of agriculture accelerates and the demand for organic fertilizer production surges, granulators may be in short supply, leading to price increases. However, if market competition is intense (e.g., small and medium-sized manufacturers offering low-price promotions), prices will tend to stabilize. Furthermore, customized equipment for specific scenarios (such as models processing high-moisture raw materials or producing granules of a specific size) is typically 20% to 30% more expensive than standard models due to its strong adaptability and small production batches.

In summary, the price of organic fertilizer granulators is the result of multiple factors, including equipment performance, production costs, market supply and demand, and additional services. Users need to consider their own production capacity needs, raw material characteristics, and budget to choose a model that offers the best value for money.