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.
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:
On the basis of end user, the global automotive driving simulator market is classified into:
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.
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.
Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:
In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.
Coherent Market Insights desk research is based on a principle set of research techniques:
Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:
Preliminary Data Mining
The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.
Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.
Coherent Statistical model
We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:
Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.
This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:
The primary research is conducted with the ecosystem players including, but not limited to:
Finding it difficult to find the research that would cater to your business demands? Give us a chance to help you. One of our Research Consultants will connect to provide a customized solution.[email protected]
Talk to our research consultant to design an exclusive report as per your research needs.
We aim to fulfil client's research demands with tailored research solutions.
We aim to provide research studies in quickest turnaround time and in a much cost effective manner.
We cover each industry from supply and demand side with an aim to provide a most holistic research study.
We strive to provide most accurate and reliable research findings in our research reports.