Whether they call it smart manufacturing or Industry 4.0, Altair helps customers realize their factory of the future. We provide software and cloud solutions that integrate the enabling technologies of simulation, high-performance computing (HPC), and artificial intelligence (AI) to power a digital transformation in their production facilities and throughout their organization.
Altair’s customers span companies from discrete and process manufacturing to oil, gas, mining, and other industrial segments.
Digital twins help organizations optimize performance, gain visibility of in-service life, know when and where to perform maintenance, and how to extend a product’s remaining useful life. We take a complete, open, and flexible approach that enables your digital transformation vision on your terms.
Today, many organizations are taking new approaches to the design and optimization of components for additive manufacturing. Altair provides a powerful, comprehensive solution that enables designers to unleash the potential of additive manufacturing to create intricate, organic shapes to meet functional requirements without needing to deal with the constraints of traditional manufacturing methods.
This study assesses and compares nine suppliers of generative design software to offer an unbiased assessment and ranking Only platforms with a dedicated market focus on industrial and manufacturing were considered.
This report sets out the market positioning of each profiled company leader, mainstream, and followers ABI Research developed this Competitive Assessment (to offer a comparative assessment and ranking of the following suppliers of generative design software Altair, Ansys, Autodesk, Dassault Systèmes Hexagon, nTopology ParaMatters PTC, and Siemens.
Altair was ranked Overall Leader, Top Innovator, and Top Implementer.
Any industry that produces bulk quantities of goods such as pharmaceuticals, food, chemicals, or cosmetics, is seeking to produce these products consistently while reducing cost factors like waste and down time. Due to the nature of process manufacturing, multiple ingredients are combined to be mixed, coated, or sorted, so understanding the behavior of these processes is of paramount importance for manufacturers. Through the use of simulation modeling and Smart Manufacturing principals, manufacturers are now able to optimize these processes, leading to greater productivity and profitability.
Product engineers are under consistent pressure to reduce the costs, improve the quality and increase the throughput of manufacturing processes. This fast-paced environment is not well suited for trial-and-error manufacturing engineering.
How are engineers responding to these challenges? Is simulation and simulation-driven design for manufacturing (SDfM) well established across the industry? When simulation is deployed, does it deliver on the promises of reducing costs while improving throughput and quality? And what are the barriers to the adoption of simulation during the early stages of product development?
In this 2021 survey report conducted by Engineering.com, we discuss those questions and discover: