The global label printing machines market size was US$ 6.29 billion in 2021. The global label printing machines market size is forecast to reach US$ 13.67 billion by 2030, growing at a compound annual growth rate (CAGR) of 9% during the forecast period from 2022 to 2030.
Labeling machines can apply, dispense, or print and apply labels to items, products, or containers. These machines range from fully-automated machines capable of printing and applying intricate graphics to simple hand-held devices. Machines that apply labels to products and packages are known as labeling machines. Because of their multiple uses, labels can adhere to a variety of surfaces, including fiber drums, aluminum, glass, steel, and plastic. It is possible to create various types of labels based on design and color to meet the needs of any product.
Factors Influencing Market Growth
Impact Analysis of COVID-19
Due to a decline in demand from the labeling industry, the demand for label printing machines decreased in 2020. The COVID-19 pandemic has caused the labeling equipment industry to shut down a number of production due to the prolonged lockdown in many global countries. This has negatively affected the growth of the labeling machine market.
Regional Insights
The Asia Pacific holds the largest market share for label printing machines. A number of industrial projects are underway in the Asia Pacific region. The demand for labels is increasing across all industries, resulting in a surge in label printing machines in the region. Additionally, manufacturers do not incur many expenses on distribution since the largest manufacturing hubs for label printing machines are Japan and China, resulting in low operational expenses for manufacturers in the region.
Leading Competitors
The leading prominent companies profiled in the global label printing machine market are:
Scope of the Report
The global label printing machine market segmentation focuses on Print Mechanism, Color Support, Industry, and Region.
Segmentation based on Print Mechanism
Segmentation based on Color Support
Segmentation based on Industry
Segmentation based on Region