09-12-2017 11:33 AM CET - Logistics & Transport

Automotive Driving Simulator Market - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2017–2025

Press release from: Automotive Driving Simulator Market

Automotive driving simulators (sims) belong to the class of human machine interface (HMI) that are prominently used to mimic the near-exact conditions prevalent during driving. These find substantial applications in education & training institutions for vehicle user training programs, and R&D activities for the pre testing of new vehicles, advanced driving assistance systems and other technologies. This enables the users to utilize the best potential of virtual reality for testing of practical applications by eliminating the risk due to mishandling of the controls and physical damages.

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Driver state monitoring system (DSMS) incorporation in these systems will provide high growth prospects

DSMS is an electronic system used in vehicles to monitor the users’ inactiveness, fatigue or drowsiness while driving. This helps in analyzing the driver’s mental and physical state accurately in real time by synchronizing the system with the camera installed directly focusing on the user’s face. Furthermore, the system also helps in evaluating range of driver conditions that includes eye closure, eyelid distance, head positions and yawning. Utilization of these systems for improvements in the vehicle safety and user comfort, is expected to drive the automotive driving simulator market growth.

Automotive Driving Simulator Market Taxonomy

On the basis of technology, the global automotive driving simulator market is classified into:

Modular design simulator
Multi station driving simulator
Bus simulator
Physical simulator

On the basis of end user, the global automotive driving simulator market is classified into:
Suppliers & OEMs
Independent R&D
Transport Authorities
Education & Training Institutions

On the basis of applications, the global automotive driving simulator market is classified into:

Availability and utilization of low cost simulators is expected to provide major industry traction over the forecast period

Low cost affordable sims are featured with the ability to gain better audience for its primary applications in evaluation and testing of vehicle technologies. Growth in the hardware and software processes have in turn led to easy availability of these products. Players in the market offer an extensive portfolio from low cost scales to expensive high-fidelity products. Mitsubishi Electric Research Labs’ offering, which is a medium fidelity simulator is among the most popular low priced offering. Owing to these factors, they account for significant revenue share and are expected to witness strong growth over the next few years, specifically for gaming applications.

Existence of semblance of lag between the actual response time for any input given by the driver and the expected response time is expected to be the major industry growth challenge. It induces an adaption burden phenomenon, which impacts the driver’s brain. This syndrome is called simulator sickness or SAS. Users have reported symptoms of headaches, disorientation and motion sickness, among few others.

U.S. held the largest industry share in 2016, is expected to present strong growth prospects

North America held the largest automotive driving simulator market share in 2016, primarily owing to the ongoing new vehicle projects for advanced technologies such as autonomous vehicle development and connected cars for the future adoptions. Moreover, government support to encourage the utilizations of these technologies to avoid accidents and damage to lives and infrastructure will present potential growth landscape for the industry growth. For instance, EU training directive in Europe has proposed the usage of advanced automotive driving simulator for the training and retaining of truck and bus drivers.

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Key participants in the automotive driving simulator market include Ansible Motion, OKTAL, Cruden, Mechanical Simulation, Dallara, and Moog. Industry is majorly characterized by the intensive competitive scenario, with key players competing on market grounds with competitive pricing strategies, technology advancements, quality, and customer experience with high end performance. Proliferation of R&D activities for development of autonomous cars by Google, Volvo, Tesla and many others is expected to provide large demands for these systems for evaluation of their algorithms and decision making processes.

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