Automotive Simulation Market Size, Trends, Growth, Analysis 2032
Automotive Simulation Market Overview:
As per the analysis by Market Research Future Reports (MRFR), the global automotive simulation market 2020 is majorly driven due to investment by automobile OEMs in developing the vehicle technology. Developing smart electronics, safety-critical control software, and autonomous driving systems contribute to the expansion of the market. In addition to it, the increasing concern for the environment has resulted in a rise in environment-friendly simulation program generators that drive the market. Besides, the increasing demand for designing simulators to control the weather, traffic, pedestrians, wildlife, and other vehicles have also contributed to the expansion of the market. Furthermore, automotive simulation allows to re-engineer different parts of vehicles and innovates through rapid virtual prototyping and testing for electrification, smart controls, light-weighting, and energy efficiency. The evaluation of electric, hybrid, and conventional drive systems consist of thermal management, and operating strategies are estimated to propel the market. Automotive simulator and its software are regulated through modeling systems and real-time simulation, which helps in the coordination and configuration of the vehicle's regulation, driver feedback, and dynamics through a graphical interface. The new vehicle test applications demand well-equipped devices, innovation, and environment-friendly solutions due to the increasing concern for protecting the environment. These factors have contributed significantly to expanding the market.
The outbreak of COVID-19 has changed the market dynamics. Several regions have been affected by stringent lockdown, which affected the daily operations of several companies. We will provide COVID-19 impact analysis with the report.
Market Segmentation
The global automotive simulation market can be classified based on end-users, components, applications, deployment, and region.
Based on the application, the global automotive simulation market can be classified into mechanical components, drive systems, and fluid power.
Based on end-users, the global automotive simulation market can be classified into component suppliers, OEM, and research & engineering organizations
Based on the component, the global automotive simulation market can be classified into services and software.
Based on deployment, the global automotive simulation market can be classified into the cloud and on-premises.
Based on the region, the global automotive simulation market can be classified into Europe, North America, Asia-Pacific, and the Rest of the World (RoW).
Geographical Analysis
The geographical analysis of Europe, North America, Asia-Pacific, and the Rest of the World (RoW) has been conducted. As per the analysis by MRFR, the European market is likely to acquire maximum market share during the review period. The European market is propelling due to the strict rules for vehicle manufacturing and testing and the increasing investment by the established OEMs in the region. On the other hand, the substantial investments made by OEMs, governmental bodies, component suppliers are likely to influence the automotive simulation market in North America during the forecast period. The market in the APAC region is likely to be driven due to the growing sales and manufacture of electric vehicles. Besides, developing economies like India, China, and Japan play a significant role in the regional expansion of the market.
Market Competitors
The forefront players of the global automotive simulation market are ESI Group (Germany), dSPACE GmbH (Germany), ANSYS, Inc. (US), MOOG INC. (US), PG Automotive GmbH (Germany), Siemens PLM (US), Dassault Systèmes (France), and TESIS GmbH (Germany).
Industry News
Canadian robot software provider RoboDK has partnered with automation expert RobCO SWAT from Bulgaria to offer globe's best experts with the latest Industry 4.0 solutions. In the latest project for Mercedes-Benz, RobCo SWAT used RoboDK software to simulate ABB and Motoman robots working on a range of automotive manufacturing tasks, including assembly and painting.
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