Automotive Simulation Market Research Report: Information by Application (Drive Systems, Mechanical Components, and Fluid Power), End users (OEM, Suppliers, and Organizations), Deployment (On-premises and Cloud), Component (Software and Services) and Region – Global Forecast till 2023. Global Automotive Simulation Market is expected to witness ~10% CAGR during the period, 2018 to 2023.
Market Highlights
Technology advancement and continuous improvement are the major fields where the vehicle manufacturers and component suppliers are working to offer energy efficient and cost-effective solutions to the end users. Furthermore, rising demand for maximizing the operational productivity, support continuous improvement, and response to changing customer demand have resulted in vehicle OEMs, assemblers, component suppliers, and government organizations to rely on the simulation software.
The global automotive industry faces tremendous pressures today. The skyrocketing costs of conventional fuels — along with global supply uncertainties — are forcing automakers to not only improve the proficiency of current fuels but to explore new fuel sources and engine designs that will drive increased productivity. Automotive simulation is now significantly crucial as car and truck makers are making significant investments in developing innovative vehicle technology such as autonomous driving systems, smart electronics, and safety-critical control software, while they continue substantial efforts to improve fuel efficiency and cut emissions. With the fast growth in the automotive industry, vehicles have become more complex and sophisticated. Vehicle development today involves the incorporation of both electrical and mechanical systems. Their design and production are usually time and cost critical. To complement and support the process of vehicle development and design, the majority of the automotive industry uses modeling and simulation for testing automotive applications, vehicle subsystems or the vehicle behavior in its entirety. Automotive simulation is a tool suite for modeling combustion engines, electric components, vehicle dynamics, and the traffic environment. The ASMs are a tool suite that consists of simulation models for automotive applications that can be combined as needed. The models support a broad spectrum of simulations, starting with particular components like combustion engines or electric motors, to vehicle dynamics structures, up to complex virtual traffic scenarios.
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Key Players
ESI Group (Germany)
dSPACE GmbH (Germany)
ANSYS, Inc. (US)
MOOG INC. (US)
Dassault Systèmes (France)
PG Automotive GmbH (Germany)
TESIS GmbH (Germany)
Siemens PLM (US)
Vehicle system development is complex and requires knowledge from several areas, such as mechanical design, electronics development, and control systems. Such systems involve time and cost to build. Owing to this reason, a general vehicle system simulation is a cost-effective and safe way to test automotive applications. Accurate modeling of the kinematic and/or dynamics behaviors of a vehicle are required to achieve reasonable simulation results. Heavy trucks and passenger cars have various engine characteristics. Thus, different vehicles react in a different way to the input signals, which could be from the driver or automated functions. Likewise, electric cars might have different characteristics — the prospect of having complex models or keeping the system running in real-time.
Fundamentally every part of the car is being re-engineered for electrification, light-weighting, energy efficiency, and smarter controls without sacrificing safety and reliability. Automotive simulation enables engineers to deliver these advancements faster through rapid virtual prototyping and testing. Simulation software has developed in ways that support solutions of more accurate, tightly coupled problems. Another breakthrough is the extensive use of automated, adaptive meshing. Increasing awareness of auto emissions’ environmental influence is forcing the industry to rethink engineering design. Next-generation engine and exhaust system technologies are necessary to reduce emissions and other eco-friendly consequences, while still providing the high levels of performance consumers expect in present times. The adoption of each model is open and traceable right down to the automotive simulation basic block level, so it is easy to complement or replace components with consumer-specific models. This means that the assets of each model can be optimally adapted to specific projects. The standardized interfaces of the automotive simulation make it straightforward to broaden models and even create entire virtual vehicles. Road networks and traffic tactics can be easily and intuitively created using graphical parameterization tools with preview and clear visualization.
These dual pressures, while imposing, are just the beginning. Consumers are demanding trucks, cars, and other vehicles that are smarter and safer than ever before. Integrating innovative, interactive infotainment systems, wireless communications technologies, collision-avoidance systems, and navigational devices are changing the way cars are designed, produced, and used by consumers. Today, about 30 percent of the value in the average passenger car lies in its electronic systems — and this percentage will increase as designers imagine new automotive functionalities to capture the imaginations of consumers worldwide.
Today, manufacturers are using simulation to design new electric powertrains, decrease overall vehicle weight, generate high-speed wireless communications systems, enhance the software that controls vehicles, and engineer new radar-based collision-avoidance systems.
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Table Of Contents
1. Executive Summary
2. Scope Of The Report
2.1. Market Definition
2.2. Scope Of The Study
2.2.1. Definition
2.2.2. Research Objective
2.2.3. Assumptions
2.2.4. Limitations
2.3. Research Process
2.3.1. Primary Research
2.3.2. Secondary Research
2.4. Market Size Estimation
2.5. Forecast Model
3. Market Landscape
3.1. Porter’s Five Forces Analysis
3.1.1. Threat Of New Entrants
3.1.2. Bargaining Power Of Buyers
3.1.3. Threat Of Substitutes
3.1.4. Segment Rivalry
3.1.5. Bargaining Power Of Buyers
3.2. Value Chain/Supply Chain Analysis
4. Market Dynamics
4.1. Introduction
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Market Trends
5. Global Automotive Simulation Market, By Application
5.1. Introduction
5.2. Drive Systems
5.2.1. Market Estimates & Forecast, 2018-2023
5.2.2. Market Estimates & Forecast By Region, 2018-2023
5.3. Mechanical Components
5.3.1. Market Estimates & Forecast, 2018-2023
5.3.2. Market Estimates & Forecast By Region, 2018-2023
5.4. Fluid Power
5.4.1. Market Estimates & Forecast, 2018-2023
5.4.2. Market Estimates & Forecast By Region, 2018-2023
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