LASER AUTOMATION MARKET ANALYSIS

Laser Automation MarketSize and Trends

Global laser automation market is projected to reach US$ 12,045.3 Mn by 2030, from US$  16,071.4 Mn in 2023, exhibiting a CAGR of 4.2% during the forecast period. Increasing demand for laser automation in various industries, such as automotive, electronics, and healthcare, is driving the growth of the market. Laser automation is the use of lasers to automate various manufacturing processes such as cutting, welding, and marking. Lasers offer a number of advantages over traditional manufacturing methods, such as high precision, high speed, and flexibility. As a result, laser automation is increasingly being adopted by manufacturers across a wide range of industries.

Figure 1. Global Laser Automation Market Share (%), By Region, 2023

Figure 2. Global Laser Automation Market Share (%), By Application, 2023

Global Laser Automation Market- Trends

• Adoption of Fiber Lasers: Fiber lasers have gained significant popularity in laser automation applications. These lasers offer high power, excellent beam quality, and efficient energy consumption. Compared to traditional solid-state lasers, fiber lasers provide enhanced reliability, longer operational lifetimes, and lower maintenance requirements. The adoption of fiber lasers is increasing across various industries, including automotive, aerospace, electronics, and metal fabrication. The adoption of fiber lasers has been growing in various industries due to these advantages. For instance, in the manufacturing sector, fiber lasers are increasingly being used for applications such as cutting, welding, and engraving due to their high precision and efficiency.
• Integration of Intelligent Features: Laser automation systems are becoming smarter and more intelligent. Integration with advanced technologies such as artificial intelligence (AI), machine learning, and computer vision enables real-time monitoring, process optimization, and predictive maintenance. Intelligent features allow laser automation systems to adapt to changing conditions, optimize parameters, and improve overall efficiency and productivity. Laser systems equipped with intelligent capabilities can perform highly complex tasks with increased accuracy by learning from experience. For instance, autonomous robots using machine vision and deep learning are now able to identify defects, irregularities and anomalies during precision welding, cutting and drilling applications with an accuracy rate of over 95%. This is eliminating the need for human operators to visually inspect each individual workpiece. Furthermore, AI-guided lasers can adapt to unpredictable environments in real-time by monitoring multiple variables like temperature, pressure and vibrations.