Data Science: capacitor production efficiency in its peak

Data Science: capacitor production efficiency in its peak

In 2024, the global capacitor manufacturing market is estimated to be worth USD 25.21 billion and is expected to reach USD 33.57 billion by 2029. The information is from Mordor Intelligence (2024), that describes that this results represents an annual growth rate of 5.90%. This increase is due to the growing importance of this type of equipment, especially with the rise in the use of electronics.

Capacitors are electronic devices that temporarily store electrical energy. They consist of two conductive plates separated by an insulating material called a dielectric. When a potential difference is applied between the plates, one of them accumulates positive charges and the other accumulates negative ones, creating an electric field. Finally, the ability of a capacitor to store electrical charge is known as capacitance, which is measured in Farads (F).

Its most common types include:

• Voltage Surge Capacitors: these absorb and limit voltage surges, protecting equipment such as motors, transformers, and generators from damage caused by power surges;
• High Voltage Capacitors: generally used in electric power transmission and distribution systems, improving the stability of the electrical system;
• High Frequency Capacitors: these are used in signal filters, oscillators, and coupling circuits to ensure signal integrity at high frequencies;
• Reactive Compensation Capacitors: improve the power of electrical systems by helping to reduce losses. They are very common in industrial and commercial facilities where the demand for reactive energy is high;

This type of product also contributes to sustainability by improving energy efficiency and decreasing the need to generate electricity from non-renewable sources.

This case displays how a capacitor manufacturing industry, significant in both national and international market, used ST-One Solution™ to increase production line efficiency. This was done by integrating variables from different processes. Learn more about us.