Industrial Coatings Market size was over USD 96.33 billion in 2024 and is anticipated to exceed USD 142.42 billion by the end of 2037, growing at over 3.2% CAGR during the forecast period i.e., between 2025-2037. In the year 2025, the industry size of industrial coatings is evaluated at USD 98.72 billion. The primary factor that is attributed to the growth of the market is the recent boom in the construction industry. The high spending on the construction industry is expected to bring lucrative growth opportunities for market growth in the assessment period. For instance, the total spending in the U.S. construction sector was calculated to be approximately USD 2 trillion in 2020. Additionally, the escalation in the demand for industrial coatings from a wide range of industry verticals such as automotive, electronics, aerospace, oil & gas, mining, marine, and power generation is expected to propel the growth of the industrial coatings market over the projected forecast period.
Most industrial coatings are used to prevent the corrosion of metals and concrete. They have diverse applications and are available with various specifications for differing requirements and functions in the construction sector. Thus, the rising investments in building infrastructure and buildings are anticipated to bring in generate for industrial coatings in the forecast period. Moreover, radically increasing urbanization across the globe and traction toward sustainability are some further factors that are fueling the growth of the market during the forecast period. In addition, the growing demand for environmentally-friendly coatings as well as the need for efficient processes and durable coatings with better aesthetics is also considered to be a growth factor for significant revenue generation of global industrial coatings. Also, rapid urbanization, growth in the middle-class population, rising disposable incomes, and high spending capacity are projected to bring in lucrative growth opportunities for the utilization of industrial coatings in the forecast period.
Author Credits: Rajrani Baghel
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