skip to Main Content
Manufacturers To Spend US$2.6bn On Simulation Software By 2030

Manufacturers to Spend US$2.6bn on Simulation Software by 2030

Simulation software acts as an insurance policy against costly mistakes because it enables manufacturers to understand how a product or component will behave before it’s put into use or how it will affect the production line. Global tech market advisory firm ABI Research forecasts that manufacturer’s spend on simulation software will surpass US$2.6 billion in 2030. Spending will accelerate over the forecast period (growing by CAGR 7.1% between 2022 and 2030) as the user base of simulation software expands in aerospace, automotive, heavy machinery, and the consumer-packaged goods sectors.

“In the past, manufacturers would create prototypes and test under certain conditions. Simulation software provides more flexibility by enabling manufacturers to examine how, for example, components in aircrafts and automobiles respond to heat and vibration, or how to optimize the layout of a printed circuit board in an electronic device. Also, manufacturers’ production lines are moving from batch to continuous manufacturing, so they need the ability to anticipate and alleviate bottlenecks relating to switchovers,” explains Michael Larner, Principal Analyst, Industrial & Manufacturing at ABI Research.

Simulation software solutions from the likes of Siemens, Dassault Systèmes, and Hexagon help manufacturers not only to create robust products but also expand usage of simulation software by specialists as well as individuals in product development and on the factory floor. Simulating software now supports a wide number of decision makers, such as plant managers, systems engineers, and maintenance teams.

However, vendors of simulation software for industrial applications face some challenges. “There is also a persistent tribal knowledge within some facilities where staff is hostile to change and so suppliers will need to overcome their lack of trust in simulation results. Suppliers will also need to work with their customers to understand the performance parameters and the acceptable tradeoffs in different verticals so that findings are based on reality and users trust the results,” Larner concludes.

 

Back To Top