We have data on 129 companies that use Altair HyperCrash. The companies using Altair HyperCrash are most often found in United States and in the Automotive industry. Altair HyperCrash is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Altair HyperCrash usage goes back as far as 6 years and 6 months.
|Company||AGH University of Science and Technology|
|Company||Zodiac Aerospace SA|
|TSI Incorporated||tsi.com||United States||50M-100M||1000-5000|
|AGH University of Science and Technology||agh.edu.pl||Poland||200M-1000M||1000-5000|
|Zodiac Aerospace SA||zodiacaerospace.com||France||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Computer-aided Design & Engineering. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Computer-aided Design & Engineering category, Altair HyperCrash has a market share of about 0.1%. Other major and competing products in this category include:
HyperCrash is a robust pre-processing environment specifically designed to automate the creation of high-fidelity models for crash analysis and safety evaluation. HyperCrash increases departmental efficiency and results accuracy through process driven workflows and automated model checking and correction.
Looking at Altair HyperCrash customers by industry, we find that Automotive (35%), Machinery (12%), Higher Education (11%) and Information Technology and Services (7%) are the largest segments.
25% of Altair HyperCrash customers are in United States, 20% are in France, 10% are in Germany, 8% are in United Kingdom, 6% are in India and 6% are in Italy.
Of all the customers that are using Altair HyperCrash, 16% are small (<50 employees), 29% are medium-sized and 49% are large (>1000 employees).
Of all the customers that are using Altair HyperCrash, 38% are small (<$50M), 10% are medium-sized and 42% are large (>$1000M).